{"question": "For NV_NVDLA_RUBIK_dr2drc, the RTL-to-netlist mapping leaves the dr2drc_q0/q1 valid, ready and payload ports unmapped. Given that, how reliable is an area-focused optimization flow that uses flattening and aggressive sharing, and what area and delay effects should I expect from it?", "answer": "The mapping reaches an alignment score of 80.65, with 25 of 31 RTL signals mapped and 6 unmapped, all of them the dr2drc_q0/q1 vld, rdy and pd interface signals, so you should check those ports after a flatten-based flow. The area-targeted recipe ('synth -top NV_NVDLA_RUBIK_dr2drc -flatten', 'opt -full; share -aggressive; opt', etc.) is estimated to give -15.0 area and -10.0 power at the cost of +5.0 delay, and aggressive sharing also raises routing complexity.", "source_file": "github_repos/nvdla_hw/vmod/nvdla/rubik/NV_NVDLA_RUBIK_dr2drc.v", "module_name": "NV_NVDLA_RUBIK_dr2drc", "tool_name": "cross_stage_mapper+optimization_advisor", "tool_parameters": [{}, {"target_metric": "area"}], "tool_result": "[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"rd_cdt_lat_fifo_pop\": [\n \"rd_cdt_lat_fifo_pop\"\n ],\n \"fifo_idata_ready_h\": [\n \"fifo_idata_ready_h\"\n ],\n \"data_fifo_pd\": [\n \"data_fifo_pd\",\n \"data_fifo_pd_l\",\n \"data_fifo_pd_h\"\n ],\n \"fifo_idata_h\": [\n \"fifo_idata_h\"\n ],\n \"data_fifo_pd_l\": [\n \"data_fifo_pd_l\"\n ],\n \"dr2drc_q0_vld\": [],\n \"data_fifo_vld\": [\n \n...[852 chars elided]...\ndata_ready_l\",\n \"fifo_idata_valid_h\",\n \"fifo_idata_ready_h\",\n \"fifo_idata_valid_l\"\n ],\n \"dr2drc_q1_pd\": [],\n \"dr2drc_q0_pd\": [],\n \"rd_rsp_vld\": [\n \"rd_rsp_vld\"\n ],\n \"data_fifo_pop\": [\n \"data_fifo_pop\"\n ],\n \"dr2drc_q1_vld\": [],\n \"data_fifo_vld_h\": [\n \"data_fifo_vld_h\"\n ],\n \"data_fifo_vld_l\": [\n \"data_fifo_vld_l\"\n ],\n \"dr2drc_q1_rdy\": [],\n \"data_fifo_rdy\": [\n \"data_fifo_rdy\",\n \"data_fifo_rdy_l\",\n \"data_fifo_rdy_h\"\n ]\n },\n \"alignment_score\": 80.65,\n \"unmapped_elements\": [\n \"dr2drc_q0_vld\",\n \"dr2drc_q0_rdy\",\n \"dr2drc_q1_pd\",\n \"dr2drc_q0_pd\",\n \"dr2drc_q1_vld\",\n \"dr2drc_q1_rdy\"\n ],\n \"mapping_statistics\": {\n \"rtl_signals\": 31,\n \"netlist_wires\": 1061,\n \"netlist_cells\": 0,\n \"mapped_signals\": 25,\n \"unmapped_signals\": 6\n },\n \"error\": null\n}\n\n[optimization_advisor {\"target_metric\": \"area\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"area\",\n \"recommended_recipes\": [\n \"synth -top NV_NVDLA_RUBIK_dr2drc -flatten\",\n \"opt -full; share -aggressive; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean -purge\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"mux_optimization\",\n \"description\": \"Share multiplexers where possible\",\n \"command\": \"muxcover; opt\"\n },\n {\n \"type\": \"resource_sharing\",\n \"description\": \"Share arithmetic operators\",\n \"command\": \"share -aggressive\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": -15.0,\n \"delay\": 5.0,\n \"power\": -10.0\n },\n \"trade_offs\": [\n \"Area optimization may increase delay\",\n \"Aggressive sharing increases routing complexity\"\n ],\n \"error\": null\n}", "category": "multi_tool", "subcategory": "cross_stage_mapper+optimization_advisor", "difficulty": "compositional", "question_hash": "581b33f8d106", "stage1_target": "[{\"tool\": \"cross_stage_mapper\", \"parameters\": {}}, {\"tool\": \"optimization_advisor\", \"parameters\": {\"target_metric\": \"area\"}}]", "stage2_context": "Question: For NV_NVDLA_RUBIK_dr2drc, the RTL-to-netlist mapping leaves the dr2drc_q0/q1 valid, ready and payload ports unmapped. Given that, how reliable is an area-focused optimization flow that uses flattening and aggressive sharing, and what area and delay effects should I expect from it?\n\n[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"rd_cdt_lat_fifo_pop\": [\n \"rd_cdt_lat_fifo_pop\"\n ],\n \"fifo_idata_ready_h\": [\n \"fifo_idata_ready_h\"\n ],\n \"data_fifo_pd\": [\n \"data_fifo_pd\",\n \"data_fifo_pd_l\",\n \"data_fifo_pd_h\"\n ],\n \"fifo_idata_h\": [\n \"fifo_idata_h\"\n ],\n \"data_fifo_pd_l\": [\n \"data_fifo_pd_l\"\n ],\n \"dr2drc_q0_vld\": [],\n \"data_fifo_vld\": [\n \n...[852 chars elided]...\ndata_ready_l\",\n \"fifo_idata_valid_h\",\n \"fifo_idata_ready_h\",\n \"fifo_idata_valid_l\"\n ],\n \"dr2drc_q1_pd\": [],\n \"dr2drc_q0_pd\": [],\n \"rd_rsp_vld\": [\n \"rd_rsp_vld\"\n ],\n \"data_fifo_pop\": [\n \"data_fifo_pop\"\n ],\n \"dr2drc_q1_vld\": [],\n \"data_fifo_vld_h\": [\n \"data_fifo_vld_h\"\n ],\n \"data_fifo_vld_l\": [\n \"data_fifo_vld_l\"\n ],\n \"dr2drc_q1_rdy\": [],\n \"data_fifo_rdy\": [\n \"data_fifo_rdy\",\n \"data_fifo_rdy_l\",\n \"data_fifo_rdy_h\"\n ]\n },\n \"alignment_score\": 80.65,\n \"unmapped_elements\": [\n \"dr2drc_q0_vld\",\n \"dr2drc_q0_rdy\",\n \"dr2drc_q1_pd\",\n \"dr2drc_q0_pd\",\n \"dr2drc_q1_vld\",\n \"dr2drc_q1_rdy\"\n ],\n \"mapping_statistics\": {\n \"rtl_signals\": 31,\n \"netlist_wires\": 1061,\n \"netlist_cells\": 0,\n \"mapped_signals\": 25,\n \"unmapped_signals\": 6\n },\n \"error\": null\n}\n\n[optimization_advisor {\"target_metric\": \"area\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"area\",\n \"recommended_recipes\": [\n \"synth -top NV_NVDLA_RUBIK_dr2drc -flatten\",\n \"opt -full; share -aggressive; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean -purge\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"mux_optimization\",\n \"description\": \"Share multiplexers where possible\",\n \"command\": \"muxcover; opt\"\n },\n {\n \"type\": \"resource_sharing\",\n \"description\": \"Share arithmetic operators\",\n \"command\": \"share -aggressive\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": -15.0,\n \"delay\": 5.0,\n \"power\": -10.0\n },\n \"trade_offs\": [\n \"Area optimization may increase delay\",\n \"Aggressive sharing increases routing complexity\"\n ],\n \"error\": null\n}", "plan_id": "8037a1ce7f91", "design_id": "01b98bd6ed40", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/nvdla/hw", "commit": "8e06b1b9d85aab65b40d43d08eec5ea4681ff715", "path": "vmod/nvdla/rubik/NV_NVDLA_RUBIK_dr2drc.v", "sha256": "27cea2aae721752cdd3aed967c27850adae2986406b7d0f7863796f982606646"}} {"question": "For servant_tb, is it worth applying a power-focused optimization flow with clock gating, given what the module actually contains structurally? Please weigh the expected power gain against the module's makeup.", "answer": "The power-focused flow estimates a -25.0 power change from clockgate and operand isolation, at the cost of about 5.0 extra area and 5.0 extra delay. However, servant_tb has 0 ports, 0 always blocks, only 2 regs and a cyclomatic complexity of 1, and it mainly instantiates vlog_tb_utils. That makes it a testbench with almost no gateable logic, so the estimated power gain is unlikely to matter in practice.", "source_file": "github_repos/olofk_serv/bench/servant_tb.v", "module_name": "servant_tb", "tool_name": "optimization_advisor+static_analyzer", "tool_parameters": [{"target_metric": "power"}, {"analysis_type": "full"}], "tool_result": "[optimization_advisor {\"target_metric\": \"power\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"power\",\n \"recommended_recipes\": [\n \"synth -top servant_tb\",\n \"opt; share; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean; clockgate\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"clock_gating\",\n \"description\": \"Insert clock gating for registers\",\n \"command\": \"clockgate\"\n },\n {\n \"type\": \"operand_isolation\",\n \"description\": \"Isolate operands when not in use\",\n \"command\": \"Use enable signals for arithmetic\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": 5.0,\n \"delay\": 5.0,\n \"power\": -25.0\n },\n \"trade_offs\": [\n \"Power optimization may add area overhead\",\n \"Clock gating adds timing complexity\"\n ],\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"servant_tb\",\n \"port_count\": {\n \"inputs\": 0,\n \"outputs\": 0,\n \"inouts\": 0,\n \"total\": 0\n },\n \"signal_count\": {\n \"wires\": 1,\n \"regs\": 2,\n \"parameters\": 5,\n \"total\": 3\n },\n \"always_blocks\": 0,\n \"assign_statements\": 0,\n \"instantiations\": [\n \"vlog_tb_utils\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 28,\n \"total_lines\": 38,\n \"cyclomatic_complexity\": 1,\n \"nesting_depth\": 0,\n \"operator_count\": 14\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "category": "multi_tool", "subcategory": "optimization_advisor+static_analyzer", "difficulty": "compositional", "question_hash": "eeec10a8b0b9", "stage1_target": "[{\"tool\": \"optimization_advisor\", \"parameters\": {\"target_metric\": \"power\"}}, {\"tool\": \"static_analyzer\", \"parameters\": {\"analysis_type\": \"full\"}}]", "stage2_context": "Question: For servant_tb, is it worth applying a power-focused optimization flow with clock gating, given what the module actually contains structurally? Please weigh the expected power gain against the module's makeup.\n\n[optimization_advisor {\"target_metric\": \"power\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"power\",\n \"recommended_recipes\": [\n \"synth -top servant_tb\",\n \"opt; share; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean; clockgate\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"clock_gating\",\n \"description\": \"Insert clock gating for registers\",\n \"command\": \"clockgate\"\n },\n {\n \"type\": \"operand_isolation\",\n \"description\": \"Isolate operands when not in use\",\n \"command\": \"Use enable signals for arithmetic\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": 5.0,\n \"delay\": 5.0,\n \"power\": -25.0\n },\n \"trade_offs\": [\n \"Power optimization may add area overhead\",\n \"Clock gating adds timing complexity\"\n ],\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"servant_tb\",\n \"port_count\": {\n \"inputs\": 0,\n \"outputs\": 0,\n \"inouts\": 0,\n \"total\": 0\n },\n \"signal_count\": {\n \"wires\": 1,\n \"regs\": 2,\n \"parameters\": 5,\n \"total\": 3\n },\n \"always_blocks\": 0,\n \"assign_statements\": 0,\n \"instantiations\": [\n \"vlog_tb_utils\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 28,\n \"total_lines\": 38,\n \"cyclomatic_complexity\": 1,\n \"nesting_depth\": 0,\n \"operator_count\": 14\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "plan_id": "436ac66fd845", "design_id": "01d205de60f4", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/olofk/serv", "commit": "f200eb2ed7b69ac1c6b8eddd47654522aeee5ce8", "path": "bench/servant_tb.v", "sha256": "1d4ca9b0d78990f5c9b6fa161849ff3ea72d9edad9eb3bd99b4bac5f9b41583a"}} {"question": "For sirv_debug_module, given its structure as a purely structural wrapper with no procedural logic, how realistic is the projected area-optimization gain, and what trade-off does the area-targeted plan introduce?", "answer": "sirv_debug_module has 0 always blocks and 0 regs. Its logic is 44 assign statements plus instantiations such as sirv_debug_ram and sirv_debug_rom, so the area-targeted flow's estimated -15.0 area change will likely come mostly from flattening (synth -top sirv_debug_module -flatten) and from sharing in the submodules, not from the top-level glue. That plan also brings an estimated 5.0 delay change, and its listed trade-off is that \"Area optimization may increase delay\".", "source_file": "github_repos/riscv-mcu_e203_hbirdv2/rtl/e203/debug/sirv_debug_module.v", "module_name": "sirv_debug_module", "tool_name": "optimization_advisor+static_analyzer", "tool_parameters": [{"target_metric": "area"}, {"analysis_type": "full"}], "tool_result": "[optimization_advisor {\"target_metric\": \"area\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"area\",\n \"recommended_recipes\": [\n \"synth -top sirv_debug_module -flatten\",\n \"opt -full; share -aggressive; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean -purge\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"mux_optimization\",\n \"description\": \"Share multiplexers where possible\",\n \"command\": \"muxcover; opt\"\n },\n {\n \"type\": \"resource_sharing\",\n \"description\": \"Share arithmetic operators\",\n \"command\": \"share -aggressive\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": -15.0,\n \"delay\": 5.0,\n \"power\": -10.0\n },\n \"trade_offs\": [\n \"Area optimization may increase delay\",\n \"Aggressive sharing increases routing complexity\"\n ],\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"sirv_debug_module\",\n \"port_count\": {\n \"inputs\": 18,\n \"outputs\": 33,\n \"inouts\": 0,\n \"total\": 51\n },\n \"signal_count\": {\n \"wires\": 55,\n \"regs\": 0,\n \"parameters\": 5,\n \"total\": 55\n },\n \"always_blocks\": 0,\n \"assign_statements\": 44,\n \"instantiations\": [\n \"sirv_jtaggpioport\",\n \"sirv_debug_ram\",\n \"generate\",\n \"sirv_ResetCatchAndSync_2\",\n \"sirv_debug_rom_64\",\n \"sirv_debug_rom\",\n \"sirv_ResetCatchAndSync\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 367,\n \"total_lines\": 547,\n \"cyclomatic_complexity\": 7,\n \"nesting_depth\": 3,\n \"operator_count\": 608\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "category": "multi_tool", "subcategory": "optimization_advisor+static_analyzer", "difficulty": "compositional", "question_hash": "5ad53e121518", "stage1_target": "[{\"tool\": \"optimization_advisor\", \"parameters\": {\"target_metric\": \"area\"}}, {\"tool\": \"static_analyzer\", \"parameters\": {\"analysis_type\": \"full\"}}]", "stage2_context": "Question: For sirv_debug_module, given its structure as a purely structural wrapper with no procedural logic, how realistic is the projected area-optimization gain, and what trade-off does the area-targeted plan introduce?\n\n[optimization_advisor {\"target_metric\": \"area\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"area\",\n \"recommended_recipes\": [\n \"synth -top sirv_debug_module -flatten\",\n \"opt -full; share -aggressive; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean -purge\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"mux_optimization\",\n \"description\": \"Share multiplexers where possible\",\n \"command\": \"muxcover; opt\"\n },\n {\n \"type\": \"resource_sharing\",\n \"description\": \"Share arithmetic operators\",\n \"command\": \"share -aggressive\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": -15.0,\n \"delay\": 5.0,\n \"power\": -10.0\n },\n \"trade_offs\": [\n \"Area optimization may increase delay\",\n \"Aggressive sharing increases routing complexity\"\n ],\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"sirv_debug_module\",\n \"port_count\": {\n \"inputs\": 18,\n \"outputs\": 33,\n \"inouts\": 0,\n \"total\": 51\n },\n \"signal_count\": {\n \"wires\": 55,\n \"regs\": 0,\n \"parameters\": 5,\n \"total\": 55\n },\n \"always_blocks\": 0,\n \"assign_statements\": 44,\n \"instantiations\": [\n \"sirv_jtaggpioport\",\n \"sirv_debug_ram\",\n \"generate\",\n \"sirv_ResetCatchAndSync_2\",\n \"sirv_debug_rom_64\",\n \"sirv_debug_rom\",\n \"sirv_ResetCatchAndSync\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 367,\n \"total_lines\": 547,\n \"cyclomatic_complexity\": 7,\n \"nesting_depth\": 3,\n \"operator_count\": 608\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "plan_id": "4dbe50d46262", "design_id": "022f529315ad", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/riscv-mcu/e203_hbirdv2", "commit": "9f3e34f337f5d0a1236a285871ffa2032491617a", "path": "rtl/e203/debug/sirv_debug_module.v", "sha256": "cb1a2aa61cbc22c1e718844fa6cff4df95dafd2d056a64b3a574db01118258e9"}} {"question": "For sirv_gnrl_pipe_stage, how well does the synthesized netlist line up with the RTL, and does the RTL's structure explain why so many signals have no netlist counterpart?", "answer": "The RTL-to-netlist alignment score for sirv_gnrl_pipe_stage is only 12.24: just 6 of its 49 RTL signals map to the netlist and 43 do not, and the netlist has 19 wires and 0 cells. The RTL is built from 41 assign statements, 1 always block and generate/fifo/sync_gen instantiations, with a cyclomatic complexity of 32. Most of its internal handshake and buffer signals (e.g. vld_r, buf_vld_r, handshaked) have no netlist counterpart, so the active configuration was probably reduced to plain port connections such as i_vld and o_vld.", "source_file": "github_repos/riscv-mcu_e203_hbirdv2/rtl/e203/general/sirv_gnrl_bufs.v", "module_name": "sirv_gnrl_pipe_stage", "tool_name": "cross_stage_mapper+static_analyzer", "tool_parameters": [{}, {"analysis_type": "full"}], "tool_result": "[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"i_vld\": [\n \"i_vld\"\n ],\n \"vld_clr\": [],\n \"o_rdy_sync\": [],\n \"vld_set\": [],\n \"buf_dat_ena\": [],\n \"buf_vld_nxt\": [],\n \"i_rdy_set\": [],\n \"nrdy_set\": [],\n \"i_rdy_nxt\": [],\n \"is\": [],\n \"rst_n\": [\n \"rst_n\"\n ],\n \"buf_rdy\": [],\n \"nrdy_nxt\": [],\n \"nrdy_clr\": [],\n \"i_vld_sync_nedge\": [],\n \"o_vld\": [\n \"o_vld\"\n ],\n \n...[379 chars elided]...\n],\n \"o_rdy_sync_r\": [],\n \"vld_ena\": [],\n \"byp\": [],\n \"i_rdy\": [\n \"i_rdy\"\n ],\n \"o_rdy_nedge\": [],\n \"buf_vld_set\": [],\n \"buf_vld_ena\": [],\n \"o_rdy\": [\n \"o_rdy\"\n ],\n \"ren\": [],\n \"nrdy_r\": [],\n \"fifo_i_vld\": [],\n \"i_rdy_clr\": [],\n \"buf_vld_r\": [],\n \"i_vld_a\": []\n },\n \"alignment_score\": 12.24,\n \"unmapped_elements\": [\n \"vld_clr\",\n \"o_rdy_sync\",\n \"vld_set\",\n \"buf_dat_ena\",\n \"buf_vld_nxt\",\n \"i_rdy_set\",\n \"nrdy_set\",\n \"i_rdy_nxt\",\n \"is\",\n \"buf_rdy\",\n \"nrdy_nxt\",\n \"nrdy_clr\",\n \"i_vld_sync_nedge\",\n \"have\",\n \"i_vld_sync\",\n \"i_rdy_r\",\n \"handshaked\",\n \"fifo_o_vld\",\n \"vld_r\",\n \"data\"\n ],\n \"mapping_statistics\": {\n \"rtl_signals\": 49,\n \"netlist_wires\": 19,\n \"netlist_cells\": 0,\n \"mapped_signals\": 6,\n \"unmapped_signals\": 43\n },\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"sirv_gnrl_pipe_stage\",\n \"port_count\": {\n \"inputs\": 25,\n \"outputs\": 15,\n \"inouts\": 0,\n \"total\": 40\n },\n \"signal_count\": {\n \"wires\": 41,\n \"regs\": 0,\n \"parameters\": 16,\n \"total\": 41\n },\n \"always_blocks\": 1,\n \"assign_statements\": 41,\n \"instantiations\": [\n \"set\",\n \"generate\",\n \"fifo\",\n \"sync_gen\",\n \"is\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 306,\n \"total_lines\": 524,\n \"cyclomatic_complexity\": 32,\n \"nesting_depth\": 23,\n \"operator_count\": 1613\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "category": "multi_tool", "subcategory": "cross_stage_mapper+static_analyzer", "difficulty": "compositional", "question_hash": "f469ed1c78cb", "stage1_target": "[{\"tool\": \"cross_stage_mapper\", \"parameters\": {}}, {\"tool\": \"static_analyzer\", \"parameters\": {\"analysis_type\": \"full\"}}]", "stage2_context": "Question: For sirv_gnrl_pipe_stage, how well does the synthesized netlist line up with the RTL, and does the RTL's structure explain why so many signals have no netlist counterpart?\n\n[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"i_vld\": [\n \"i_vld\"\n ],\n \"vld_clr\": [],\n \"o_rdy_sync\": [],\n \"vld_set\": [],\n \"buf_dat_ena\": [],\n \"buf_vld_nxt\": [],\n \"i_rdy_set\": [],\n \"nrdy_set\": [],\n \"i_rdy_nxt\": [],\n \"is\": [],\n \"rst_n\": [\n \"rst_n\"\n ],\n \"buf_rdy\": [],\n \"nrdy_nxt\": [],\n \"nrdy_clr\": [],\n \"i_vld_sync_nedge\": [],\n \"o_vld\": [\n \"o_vld\"\n ],\n \n...[379 chars elided]...\n],\n \"o_rdy_sync_r\": [],\n \"vld_ena\": [],\n \"byp\": [],\n \"i_rdy\": [\n \"i_rdy\"\n ],\n \"o_rdy_nedge\": [],\n \"buf_vld_set\": [],\n \"buf_vld_ena\": [],\n \"o_rdy\": [\n \"o_rdy\"\n ],\n \"ren\": [],\n \"nrdy_r\": [],\n \"fifo_i_vld\": [],\n \"i_rdy_clr\": [],\n \"buf_vld_r\": [],\n \"i_vld_a\": []\n },\n \"alignment_score\": 12.24,\n \"unmapped_elements\": [\n \"vld_clr\",\n \"o_rdy_sync\",\n \"vld_set\",\n \"buf_dat_ena\",\n \"buf_vld_nxt\",\n \"i_rdy_set\",\n \"nrdy_set\",\n \"i_rdy_nxt\",\n \"is\",\n \"buf_rdy\",\n \"nrdy_nxt\",\n \"nrdy_clr\",\n \"i_vld_sync_nedge\",\n \"have\",\n \"i_vld_sync\",\n \"i_rdy_r\",\n \"handshaked\",\n \"fifo_o_vld\",\n \"vld_r\",\n \"data\"\n ],\n \"mapping_statistics\": {\n \"rtl_signals\": 49,\n \"netlist_wires\": 19,\n \"netlist_cells\": 0,\n \"mapped_signals\": 6,\n \"unmapped_signals\": 43\n },\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"sirv_gnrl_pipe_stage\",\n \"port_count\": {\n \"inputs\": 25,\n \"outputs\": 15,\n \"inouts\": 0,\n \"total\": 40\n },\n \"signal_count\": {\n \"wires\": 41,\n \"regs\": 0,\n \"parameters\": 16,\n \"total\": 41\n },\n \"always_blocks\": 1,\n \"assign_statements\": 41,\n \"instantiations\": [\n \"set\",\n \"generate\",\n \"fifo\",\n \"sync_gen\",\n \"is\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 306,\n \"total_lines\": 524,\n \"cyclomatic_complexity\": 32,\n \"nesting_depth\": 23,\n \"operator_count\": 1613\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "plan_id": "16372ca8a87b", "design_id": "02363a256c98", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/riscv-mcu/e203_hbirdv2", "commit": "9f3e34f337f5d0a1236a285871ffa2032491617a", "path": "rtl/e203/general/sirv_gnrl_bufs.v", "sha256": "d46f8701f99a79b321cecd2e2b776caa2d7a76925e07b675bbd3952a47fb3ab2"}} {"question": "For nv_ram_rwsp_256x11, the RTL-to-netlist alignment looks poor. Using the CDFG of the module, can you explain why so many RTL signals are left unmapped and what the netlist really consists of?", "answer": "Only 65 of 330 RTL signals map to the netlist (265 unmapped, alignment score 19.7). The unmapped ones are mostly shadow_mem_row* storage registers, such as shadow_mem_row203. The CDFG accounts for this: its 97 nodes are mainly DFT and black-box wrapper cells (33 AN2D4PO4, 33 NV_BLKBOX_SRC0_X, 12 NV_BLKBOX_SINK, 9 NV_BLKBOX_SRC0), and the actual memory array sits inside a single nv_ram_rwsp_256x11_logic instance, so the shadow memory rows never show up as separate netlist elements.", "source_file": "github_repos/nvdla_hw/vmod/rams/synth/nv_ram_rwsp_256x11.v", "module_name": "nv_ram_rwsp_256x11", "tool_name": "cross_stage_mapper+graph_extractor", "tool_parameters": [{}, {"graph_type": "CDFG"}], "tool_result": "[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"mbist_en_sync\": [\n \"mbist_en_sync\",\n \"pre_mbist_en_sync\"\n ],\n \"shadow_mem_row203\": [],\n \"shadow_mem_row85\": [],\n \"shadow_mem_row184\": [],\n \"shadow_mem_row187\": [],\n \"shadow_mem_row107\": [],\n \"mbist_ce_r0\": [\n \"mbist_ce_r0\",\n \"pre_mbist_ce_r0\"\n ],\n \"shadow_mem_row29\": [],\n \"shadow_mem_row113\": [],\n \"shadow_mem_row47\": [],\n\n...[11282 chars elided]...\n\"debug_mode\"\n ],\n \"write_inh\": [\n \"pre_write_inh\",\n \"write_inh\"\n ],\n \"shadow_mem_row142\": [],\n \"shadow_mem_row39\": []\n },\n \"alignment_score\": 19.7,\n \"unmapped_elements\": [\n \"shadow_mem_row203\",\n \"shadow_mem_row85\",\n \"shadow_mem_row184\",\n \"shadow_mem_row187\",\n \"shadow_mem_row107\",\n \"shadow_mem_row29\",\n \"shadow_mem_row113\",\n \"shadow_mem_row47\",\n \"shadow_mem_row145\",\n \"shadow_mem_row162\",\n \"shadow_mem_row168\",\n \"shadow_mem_row119\",\n \"shadow_mem_row124\",\n \"shadow_mem_row127\",\n \"shadow_mem_row165\",\n \"shadow_mem_row218\",\n \"shadow_mem_row6\",\n \"shadow_mem_row137\",\n \"shadow_mem_row177\",\n \"shadow_mem_row232\"\n ],\n \"mapping_statistics\": {\n \"rtl_signals\": 330,\n \"netlist_wires\": 64,\n \"netlist_cells\": 0,\n \"mapped_signals\": 65,\n \"unmapped_signals\": 265\n },\n \"error\": null\n}\n\n[graph_extractor {\"graph_type\": \"CDFG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"CDFG\",\n...[43492 chars elided]...\n \"node_count\": 97,\n \"edge_count\": 280,\n \"graph_properties\": {\n \"node_types\": {\n \"NV_BLKBOX_SRC0\": 9,\n \"AN2D4PO4\": 33,\n \"nv_ram_rwsp_256x11_logic\": 1,\n \"NV_BLKBOX_SRC0_X\": 33,\n \"NV_BLKBOX_SINK\": 12,\n \"port_input\": 8,\n \"port_output\": 1\n },\n \"avg_degree\": 2.89,\n \"module_name\": \"nv_ram_rwsp_256x11\"\n },\n \"error\": null\n}", "category": "multi_tool", "subcategory": "cross_stage_mapper+graph_extractor", "difficulty": "compositional", "question_hash": "703001988b4e", "stage1_target": "[{\"tool\": \"cross_stage_mapper\", \"parameters\": {}}, {\"tool\": \"graph_extractor\", \"parameters\": {\"graph_type\": \"CDFG\"}}]", "stage2_context": "Question: For nv_ram_rwsp_256x11, the RTL-to-netlist alignment looks poor. Using the CDFG of the module, can you explain why so many RTL signals are left unmapped and what the netlist really consists of?\n\n[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"mbist_en_sync\": [\n \"mbist_en_sync\",\n \"pre_mbist_en_sync\"\n ],\n \"shadow_mem_row203\": [],\n \"shadow_mem_row85\": [],\n \"shadow_mem_row184\": [],\n \"shadow_mem_row187\": [],\n \"shadow_mem_row107\": [],\n \"mbist_ce_r0\": [\n \"mbist_ce_r0\",\n \"pre_mbist_ce_r0\"\n ],\n \"shadow_mem_row29\": [],\n \"shadow_mem_row113\": [],\n \"shadow_mem_row47\": [],\n\n...[11282 chars elided]...\n\"debug_mode\"\n ],\n \"write_inh\": [\n \"pre_write_inh\",\n \"write_inh\"\n ],\n \"shadow_mem_row142\": [],\n \"shadow_mem_row39\": []\n },\n \"alignment_score\": 19.7,\n \"unmapped_elements\": [\n \"shadow_mem_row203\",\n \"shadow_mem_row85\",\n \"shadow_mem_row184\",\n \"shadow_mem_row187\",\n \"shadow_mem_row107\",\n \"shadow_mem_row29\",\n \"shadow_mem_row113\",\n \"shadow_mem_row47\",\n \"shadow_mem_row145\",\n \"shadow_mem_row162\",\n \"shadow_mem_row168\",\n \"shadow_mem_row119\",\n \"shadow_mem_row124\",\n \"shadow_mem_row127\",\n \"shadow_mem_row165\",\n \"shadow_mem_row218\",\n \"shadow_mem_row6\",\n \"shadow_mem_row137\",\n \"shadow_mem_row177\",\n \"shadow_mem_row232\"\n ],\n \"mapping_statistics\": {\n \"rtl_signals\": 330,\n \"netlist_wires\": 64,\n \"netlist_cells\": 0,\n \"mapped_signals\": 65,\n \"unmapped_signals\": 265\n },\n \"error\": null\n}\n\n[graph_extractor {\"graph_type\": \"CDFG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"CDFG\",\n...[43492 chars elided]...\n \"node_count\": 97,\n \"edge_count\": 280,\n \"graph_properties\": {\n \"node_types\": {\n \"NV_BLKBOX_SRC0\": 9,\n \"AN2D4PO4\": 33,\n \"nv_ram_rwsp_256x11_logic\": 1,\n \"NV_BLKBOX_SRC0_X\": 33,\n \"NV_BLKBOX_SINK\": 12,\n \"port_input\": 8,\n \"port_output\": 1\n },\n \"avg_degree\": 2.89,\n \"module_name\": \"nv_ram_rwsp_256x11\"\n },\n \"error\": null\n}", "plan_id": "fe15fa0a8a1c", "design_id": "0244f7d4ed10", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/nvdla/hw", "commit": "8e06b1b9d85aab65b40d43d08eec5ea4681ff715", "path": "vmod/rams/synth/nv_ram_rwsp_256x11.v", "sha256": "1969a6775530c1cd34acde1fa09e30ae97f54ff9d40759cb52729e9231d14f6a"}} {"question": "For RAMDP_80X15_GL_M2_E2, how does the number of $dlatch storage nodes in its CDFG compare with the number of always blocks and regs declared in the source, and what does that suggest about where the storage is inferred?", "answer": "The CDFG for RAMDP_80X15_GL_M2_E2 has 1206 $dlatch nodes (out of 4006 nodes), but the source declares only 28 regs across 23 always blocks. Each always block or reg must therefore expand into many latch bits, probably through generate loops and incomplete case/if assignments. This is consistent with the code's cyclomatic complexity of 76 and nesting depth of 101.", "source_file": "github_repos/nvdla_hw/vmod/rams/model/RAMDP_80X15_GL_M2_E2.v", "module_name": "RAMDP_80X15_GL_M2_E2", "tool_name": "graph_extractor+static_analyzer", "tool_parameters": [{"graph_type": "CDFG"}, {"analysis_type": "full"}], "tool_result": "[graph_extractor {\"graph_type\": \"CDFG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"CDFG\",\n...[60762 chars elided]...\n \"node_count\": 4006,\n \"edge_count\": 15252,\n \"graph_properties\": {\n \"node_types\": {\n \"$and\": 1229,\n \"$logic_and\": 15,\n \"$not\": 100,\n \"$reduce_or\": 1201,\n \"$dlatch\": 1206,\n \"$eq\": 158,\n \"$logic_not\": 7,\n \"$pmux\": 1,\n \"port_input\": 66,\n \"port_output\": 17,\n \"RAM_BANK_RAMDP_80X15_GL_M2_E2\": 1,\n \"$or\": 2,\n \"$mux\": 2,\n \"$paramod$00652d5cb9d876f8e6af201fe8a2866fcbffb941\\\\vram_RAMDP_80X15_GL_M2_E2\": 1\n },\n \"avg_degree\": 3.81,\n \"module_name\": \"RAMDP_80X15_GL_M2_E2\"\n },\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"RAMDP_80X15_GL_M2_E2\",\n \"port_count\": {\n \"inputs\": 39,\n \"outputs\": 2,\n \"inouts\": 0,\n \"total\": 41\n },\n \"signal_count\": {\n \"wires\": 38,\n \"regs\": 28,\n \"parameters\": 6,\n \"total\": 66\n },\n \"always_blocks\": 23,\n \"assign_statements\": 31,\n \"instantiations\": [\n \"endcase\",\n \"generate\",\n \"RAM_BANK_RAMDP_80X15_GL_M2_E2\",\n \"off\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 832,\n \"total_lines\": 1058,\n \"cyclomatic_complexity\": 76,\n \"nesting_depth\": 101,\n \"operator_count\": 1876\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "category": "multi_tool", "subcategory": "graph_extractor+static_analyzer", "difficulty": "compositional", "question_hash": "f42bb88e0673", "stage1_target": "[{\"tool\": \"graph_extractor\", \"parameters\": {\"graph_type\": \"CDFG\"}}, {\"tool\": \"static_analyzer\", \"parameters\": {\"analysis_type\": \"full\"}}]", "stage2_context": "Question: For RAMDP_80X15_GL_M2_E2, how does the number of $dlatch storage nodes in its CDFG compare with the number of always blocks and regs declared in the source, and what does that suggest about where the storage is inferred?\n\n[graph_extractor {\"graph_type\": \"CDFG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"CDFG\",\n...[60762 chars elided]...\n \"node_count\": 4006,\n \"edge_count\": 15252,\n \"graph_properties\": {\n \"node_types\": {\n \"$and\": 1229,\n \"$logic_and\": 15,\n \"$not\": 100,\n \"$reduce_or\": 1201,\n \"$dlatch\": 1206,\n \"$eq\": 158,\n \"$logic_not\": 7,\n \"$pmux\": 1,\n \"port_input\": 66,\n \"port_output\": 17,\n \"RAM_BANK_RAMDP_80X15_GL_M2_E2\": 1,\n \"$or\": 2,\n \"$mux\": 2,\n \"$paramod$00652d5cb9d876f8e6af201fe8a2866fcbffb941\\\\vram_RAMDP_80X15_GL_M2_E2\": 1\n },\n \"avg_degree\": 3.81,\n \"module_name\": \"RAMDP_80X15_GL_M2_E2\"\n },\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"RAMDP_80X15_GL_M2_E2\",\n \"port_count\": {\n \"inputs\": 39,\n \"outputs\": 2,\n \"inouts\": 0,\n \"total\": 41\n },\n \"signal_count\": {\n \"wires\": 38,\n \"regs\": 28,\n \"parameters\": 6,\n \"total\": 66\n },\n \"always_blocks\": 23,\n \"assign_statements\": 31,\n \"instantiations\": [\n \"endcase\",\n \"generate\",\n \"RAM_BANK_RAMDP_80X15_GL_M2_E2\",\n \"off\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 832,\n \"total_lines\": 1058,\n \"cyclomatic_complexity\": 76,\n \"nesting_depth\": 101,\n \"operator_count\": 1876\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "plan_id": "fb3a2212f599", "design_id": "03434622043b", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/nvdla/hw", "commit": "8e06b1b9d85aab65b40d43d08eec5ea4681ff715", "path": "vmod/rams/model/RAMDP_80X15_GL_M2_E2.v", "sha256": "9e69ad95c5eb54ef9c220b336f1f8910c867cca2dfdf57471bf79c311026c978"}} {"question": "For sub_module, which synthesizes to a single INV_X1 cell, would it be worth running the recommended area-targeted optimization flow with aggressive operator sharing, given the current synthesized area and delay?", "answer": "Probably not. sub_module already maps to one INV_X1 cell, with an area of 1.0, a delay of 50.0 and 5 wires, so there are no arithmetic operators for \"share -aggressive\" to merge. The estimated area gain of -15.0 is unlikely to show up, and the flow still carries its stated delay penalty of 5.0.", "source_file": "github_repos/The-OpenROAD-Project_OpenROAD/src/dbSta/test/get_ports1.v", "module_name": "sub_module", "tool_name": "optimization_advisor+synthesis_tool", "tool_parameters": [{"target_metric": "area"}, {"optimization_level": "medium"}], "tool_result": "[optimization_advisor {\"target_metric\": \"area\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"area\",\n \"recommended_recipes\": [\n \"synth -top sub_module -flatten\",\n \"opt -full; share -aggressive; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean -purge\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"resource_sharing\",\n \"description\": \"Share arithmetic operators\",\n \"command\": \"share -aggressive\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": -15.0,\n \"delay\": 5.0,\n \"power\": -10.0\n },\n \"trade_offs\": [\n \"Area optimization may increase delay\",\n \"Aggressive sharing increases routing complexity\"\n ],\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 1.0,\n \"delay\": 50.0,\n \"power\": 0.001,\n \"gate_count\": 1,\n \"cell_breakdown\": {\n \"INV_X1\": 1\n },\n \"wire_count\": 5,\n \"wire_bits\": 9,\n \"critical_path_estimate\": 50.0,\n...[1070 chars elided]...\n \"error\": null\n}", "category": "multi_tool", "subcategory": "optimization_advisor+synthesis_tool", "difficulty": "compositional", "question_hash": "3aed9d2eee0b", "stage1_target": "[{\"tool\": \"optimization_advisor\", \"parameters\": {\"target_metric\": \"area\"}}, {\"tool\": \"synthesis_tool\", \"parameters\": {\"optimization_level\": \"medium\"}}]", "stage2_context": "Question: For sub_module, which synthesizes to a single INV_X1 cell, would it be worth running the recommended area-targeted optimization flow with aggressive operator sharing, given the current synthesized area and delay?\n\n[optimization_advisor {\"target_metric\": \"area\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"area\",\n \"recommended_recipes\": [\n \"synth -top sub_module -flatten\",\n \"opt -full; share -aggressive; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean -purge\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"resource_sharing\",\n \"description\": \"Share arithmetic operators\",\n \"command\": \"share -aggressive\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": -15.0,\n \"delay\": 5.0,\n \"power\": -10.0\n },\n \"trade_offs\": [\n \"Area optimization may increase delay\",\n \"Aggressive sharing increases routing complexity\"\n ],\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 1.0,\n \"delay\": 50.0,\n \"power\": 0.001,\n \"gate_count\": 1,\n \"cell_breakdown\": {\n \"INV_X1\": 1\n },\n \"wire_count\": 5,\n \"wire_bits\": 9,\n \"critical_path_estimate\": 50.0,\n...[1070 chars elided]...\n \"error\": null\n}", "plan_id": "6ecfd9a2b191", "design_id": "038933ea5922", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/The-OpenROAD-Project/OpenROAD", "commit": "3e3e483a4e3f98e2b5470b272040699de6dedbee", "path": "src/dbSta/test/get_ports1.v", "sha256": "274fe8610a8f00ee75eec7a7b00ce1c04c42108f837e7a2cb124896292484212"}} {"question": "For the io_generic_fifo module, how well do the RTL signals map onto the synthesized netlist, and given its structural complexity, which RTL names fail to map and are likely the reason for the incomplete alignment?", "answer": "io_generic_fifo has an alignment score of 61.54, with 8 of its 13 RTL signals mapped to the netlist. The 5 unmapped elements are wire, ports, pointer, side and location, and they look like parsing artifacts or internal names that synthesis flattened, which fits a design with cyclomatic complexity 25, nesting depth 11 and 5 instantiations, including pointer. All real I/O ports such as clk_i, rstn_i, valid_o and ready_o mapped one-to-one.", "source_file": "github_repos/riscv-mcu_e203_hbirdv2/rtl/e203/perips/apb_uart/io_generic_fifo.v", "module_name": "io_generic_fifo", "tool_name": "cross_stage_mapper+static_analyzer", "tool_parameters": [{}, {"analysis_type": "full"}], "tool_result": "[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"clk_i\": [\n \"clk_i\"\n ],\n \"wire\": [],\n \"ports\": [],\n \"pointer\": [],\n \"clr_i\": [\n \"clr_i\"\n ],\n \"valid_o\": [\n \"valid_o\"\n ],\n \"full\": [\n \"full\"\n ],\n \"valid_i\": [\n \"valid_i\"\n ],\n \"ready_o\": [\n \"ready_o\"\n ],\n \"rstn_i\": [\n \"rstn_i\"\n ],\n \"ready_i\": [\n \"ready_i\"\n ],\n \"side\": [],\n \"location\": []\n },\n \"alignment_score\": 61.54,\n \"unmapped_elements\": [\n \"wire\",\n \"ports\",\n \"pointer\",\n \"side\",\n \"location\"\n ],\n \"mapping_statistics\": {\n \"rtl_signals\": 13,\n \"netlist_wires\": 1065,\n \"netlist_cells\": 0,\n \"mapped_signals\": 8,\n \"unmapped_signals\": 5\n },\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"io_generic_fifo\",\n \"port_count\": {\n \"inputs\": 9,\n \"outputs\": 7,\n \"inouts\": 0,\n \"total\": 16\n },\n \"signal_count\": {\n \"wires\": 8,\n \"regs\": 0,\n \"parameters\": 3,\n \"total\": 8\n },\n \"always_blocks\": 3,\n \"assign_statements\": 5,\n \"instantiations\": [\n \"elements_sequential\",\n \"sequential\",\n \"pointer\",\n \"one\",\n \"buffers_sequential\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 71,\n \"total_lines\": 114,\n \"cyclomatic_complexity\": 25,\n \"nesting_depth\": 11,\n \"operator_count\": 342\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "category": "multi_tool", "subcategory": "cross_stage_mapper+static_analyzer", "difficulty": "compositional", "question_hash": "fe287677ffb2", "stage1_target": "[{\"tool\": \"cross_stage_mapper\", \"parameters\": {}}, {\"tool\": \"static_analyzer\", \"parameters\": {\"analysis_type\": \"full\"}}]", "stage2_context": "Question: For the io_generic_fifo module, how well do the RTL signals map onto the synthesized netlist, and given its structural complexity, which RTL names fail to map and are likely the reason for the incomplete alignment?\n\n[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"clk_i\": [\n \"clk_i\"\n ],\n \"wire\": [],\n \"ports\": [],\n \"pointer\": [],\n \"clr_i\": [\n \"clr_i\"\n ],\n \"valid_o\": [\n \"valid_o\"\n ],\n \"full\": [\n \"full\"\n ],\n \"valid_i\": [\n \"valid_i\"\n ],\n \"ready_o\": [\n \"ready_o\"\n ],\n \"rstn_i\": [\n \"rstn_i\"\n ],\n \"ready_i\": [\n \"ready_i\"\n ],\n \"side\": [],\n \"location\": []\n },\n \"alignment_score\": 61.54,\n \"unmapped_elements\": [\n \"wire\",\n \"ports\",\n \"pointer\",\n \"side\",\n \"location\"\n ],\n \"mapping_statistics\": {\n \"rtl_signals\": 13,\n \"netlist_wires\": 1065,\n \"netlist_cells\": 0,\n \"mapped_signals\": 8,\n \"unmapped_signals\": 5\n },\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"io_generic_fifo\",\n \"port_count\": {\n \"inputs\": 9,\n \"outputs\": 7,\n \"inouts\": 0,\n \"total\": 16\n },\n \"signal_count\": {\n \"wires\": 8,\n \"regs\": 0,\n \"parameters\": 3,\n \"total\": 8\n },\n \"always_blocks\": 3,\n \"assign_statements\": 5,\n \"instantiations\": [\n \"elements_sequential\",\n \"sequential\",\n \"pointer\",\n \"one\",\n \"buffers_sequential\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 71,\n \"total_lines\": 114,\n \"cyclomatic_complexity\": 25,\n \"nesting_depth\": 11,\n \"operator_count\": 342\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "plan_id": "bb3e3d47ae77", "design_id": "049a2fa09d6b", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/riscv-mcu/e203_hbirdv2", "commit": "9f3e34f337f5d0a1236a285871ffa2032491617a", "path": "rtl/e203/perips/apb_uart/io_generic_fifo.v", "sha256": "106ee607c8e48cee322a61295b52cc275c0fa540ec6d78547723cca5e9dfd0b1"}} {"question": "In the CDFG of io_generic_fifo, how many enable-flop register cells and mux cells are there, and how do they map onto the flip-flop count and area of the medium-effort synthesized netlist?", "answer": "The CDFG of io_generic_fifo has 5 $adffe register cells and 9 $mux cells (plus 1 $pmux) among its 50 nodes. In synthesis these word-level registers expand to 68 $_DFFE_PN0P_ flip-flops, which is a large share of the 194 total cells (area 195.5, delay 240.58).", "source_file": "github_repos/riscv-mcu_e203_hbirdv2/rtl/e203/perips/apb_uart/io_generic_fifo.v", "module_name": "io_generic_fifo", "tool_name": "graph_extractor+synthesis_tool", "tool_parameters": [{"graph_type": "CDFG"}, {"optimization_level": "medium"}], "tool_result": "[graph_extractor {\"graph_type\": \"CDFG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"CDFG\",\n...[36902 chars elided]...\n \"node_count\": 50,\n \"edge_count\": 647,\n \"graph_properties\": {\n \"node_types\": {\n \"$add\": 3,\n \"$reduce_bool\": 4,\n \"$not\": 3,\n \"$eq\": 1,\n \"$logic_and\": 5,\n \"$logic_not\": 4,\n \"$logic_or\": 2,\n \"$sub\": 1,\n \"$adffe\": 5,\n \"$reduce_and\": 2,\n \"$pmux\": 1,\n \"$mux\": 9,\n \"port_input\": 6,\n \"port_output\": 4\n },\n \"avg_degree\": 12.94,\n \"module_name\": \"io_generic_fifo\"\n },\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 195.5,\n \"delay\": 240.58,\n \"power\": 0.194,\n \"gate_count\": 194,\n \"cell_breakdown\": {\n \"$_ANDNOT_\": 2,\n \"$_AND_\": 73,\n \"$_DFFE_PN0P_\": 68,\n \"$_NAND_\": 4,\n \"$_NOR_\": 2,\n \"$_NOT_\": 4,\n \"$_ORNOT_\": 1,\n \"$_OR_\": 38,\n \"$_XNOR_\": 1,\n \"$_XOR_\": 1\n },\n \"wire_count\": 107,\n \"wire_bits\": 265,\n \"critical_path_estimate\": 240.58,\n...[1288 chars elided]...\n \"error\": null\n}", "category": "multi_tool", "subcategory": "graph_extractor+synthesis_tool", "difficulty": "compositional", "question_hash": "80674e5fca5c", "stage1_target": "[{\"tool\": \"graph_extractor\", \"parameters\": {\"graph_type\": \"CDFG\"}}, {\"tool\": \"synthesis_tool\", \"parameters\": {\"optimization_level\": \"medium\"}}]", "stage2_context": "Question: In the CDFG of io_generic_fifo, how many enable-flop register cells and mux cells are there, and how do they map onto the flip-flop count and area of the medium-effort synthesized netlist?\n\n[graph_extractor {\"graph_type\": \"CDFG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"CDFG\",\n...[36902 chars elided]...\n \"node_count\": 50,\n \"edge_count\": 647,\n \"graph_properties\": {\n \"node_types\": {\n \"$add\": 3,\n \"$reduce_bool\": 4,\n \"$not\": 3,\n \"$eq\": 1,\n \"$logic_and\": 5,\n \"$logic_not\": 4,\n \"$logic_or\": 2,\n \"$sub\": 1,\n \"$adffe\": 5,\n \"$reduce_and\": 2,\n \"$pmux\": 1,\n \"$mux\": 9,\n \"port_input\": 6,\n \"port_output\": 4\n },\n \"avg_degree\": 12.94,\n \"module_name\": \"io_generic_fifo\"\n },\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 195.5,\n \"delay\": 240.58,\n \"power\": 0.194,\n \"gate_count\": 194,\n \"cell_breakdown\": {\n \"$_ANDNOT_\": 2,\n \"$_AND_\": 73,\n \"$_DFFE_PN0P_\": 68,\n \"$_NAND_\": 4,\n \"$_NOR_\": 2,\n \"$_NOT_\": 4,\n \"$_ORNOT_\": 1,\n \"$_OR_\": 38,\n \"$_XNOR_\": 1,\n \"$_XOR_\": 1\n },\n \"wire_count\": 107,\n \"wire_bits\": 265,\n \"critical_path_estimate\": 240.58,\n...[1288 chars elided]...\n \"error\": null\n}", "plan_id": "bc9f7a7db5a9", "design_id": "049a2fa09d6b", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/riscv-mcu/e203_hbirdv2", "commit": "9f3e34f337f5d0a1236a285871ffa2032491617a", "path": "rtl/e203/perips/apb_uart/io_generic_fifo.v", "sha256": "106ee607c8e48cee322a61295b52cc275c0fa540ec6d78547723cca5e9dfd0b1"}} {"question": "For NV_NVDLA_MCIF_WRITE_IG_spt, an area-targeted optimization suggests memory inference and aggressive resource sharing. Given how big and complex the module is, how much area reduction should I expect from that flow, and what does it cost in delay?", "answer": "The area-targeted flow (synth -flatten, opt -full with share -aggressive, then abc and opt_clean -purge) estimates an area change of -15.0 at the cost of a +5.0 delay change. This is reasonable for NV_NVDLA_MCIF_WRITE_IG_spt: it has 46 ports, 27 regs, 16 always blocks and a cyclomatic complexity of 79, and it instantiates the NV_NVDLA_MCIF_WRITE_IG_SPT_dfifo_flopram_rwsa_5x514 flop-RAM, which is the kind of array the memory -nomap; memory_bram suggestion is aimed at.", "source_file": "github_repos/nvdla_hw/vmod/nvdla/nocif/NV_NVDLA_MCIF_WRITE_IG_spt.v", "module_name": "NV_NVDLA_MCIF_WRITE_IG_spt", "tool_name": "optimization_advisor+static_analyzer", "tool_parameters": [{"target_metric": "area"}, {"analysis_type": "full"}], "tool_result": "[optimization_advisor {\"target_metric\": \"area\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"area\",\n \"recommended_recipes\": [\n \"synth -top NV_NVDLA_MCIF_WRITE_IG_spt -flatten\",\n \"opt -full; share -aggressive; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean -purge\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"memory_optimization\",\n \"description\": \"Consider using memory inference for large arrays\",\n \"command\": \"memory -nomap; memory_bram\"\n },\n {\n \"type\": \"mux_optimization\",\n \"description\": \"Share multiplexers where possible\",\n \"command\": \"muxcover; opt\"\n },\n {\n \"type\": \"resource_sharing\",\n \"description\": \"Share arithmetic operators\",\n \"command\": \"share -aggressive\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": -15.0,\n \"delay\": 5.0,\n \"power\": -10.0\n },\n \"trade_offs\": [\n \"Area optimization may increase delay\",\n \"Aggressive sharing increases routing complexity\"\n ],\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"NV_NVDLA_MCIF_WRITE_IG_spt\",\n \"port_count\": {\n \"inputs\": 31,\n \"outputs\": 15,\n \"inouts\": 0,\n \"total\": 46\n },\n \"signal_count\": {\n \"wires\": 76,\n \"regs\": 27,\n \"parameters\": 1,\n \"total\": 103\n },\n \"always_blocks\": 16,\n \"assign_statements\": 64,\n \"instantiations\": [\n \"the\",\n \"define\",\n \"Clock\",\n \"NV_NVDLA_MCIF_WRITE_IG_SPT_pipe_p1\",\n \"NV_BLKBOX_SINK\",\n \"NV_CLK_gate_power\",\n \"NV_NVDLA_MCIF_WRITE_IG_SPT_dfifo\",\n \"NV_NVDLA_MCIF_WRITE_IG_SPT_dfifo_flopram_rwsa_5x514\",\n \"fifo\",\n \"vmw_NV_NVDLA_MCIF_WRITE_IG_SPT_dfifo_flopram_rwsa_5x514\",\n \"set_boundary_optimization\",\n \"perfmon_histogram\",\n \"bc\",\n \"NV_BLKBOX_SRC0\",\n \"translate_on\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 645,\n \"total_lines\": 1027,\n \"cyclomatic_complexity\": 79,\n \"nesting_depth\": 58,\n \"operator_count\": 1741\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "category": "multi_tool", "subcategory": "optimization_advisor+static_analyzer", "difficulty": "compositional", "question_hash": "318d7ff3d508", "stage1_target": "[{\"tool\": \"optimization_advisor\", \"parameters\": {\"target_metric\": \"area\"}}, {\"tool\": \"static_analyzer\", \"parameters\": {\"analysis_type\": \"full\"}}]", "stage2_context": "Question: For NV_NVDLA_MCIF_WRITE_IG_spt, an area-targeted optimization suggests memory inference and aggressive resource sharing. Given how big and complex the module is, how much area reduction should I expect from that flow, and what does it cost in delay?\n\n[optimization_advisor {\"target_metric\": \"area\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"area\",\n \"recommended_recipes\": [\n \"synth -top NV_NVDLA_MCIF_WRITE_IG_spt -flatten\",\n \"opt -full; share -aggressive; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean -purge\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"memory_optimization\",\n \"description\": \"Consider using memory inference for large arrays\",\n \"command\": \"memory -nomap; memory_bram\"\n },\n {\n \"type\": \"mux_optimization\",\n \"description\": \"Share multiplexers where possible\",\n \"command\": \"muxcover; opt\"\n },\n {\n \"type\": \"resource_sharing\",\n \"description\": \"Share arithmetic operators\",\n \"command\": \"share -aggressive\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": -15.0,\n \"delay\": 5.0,\n \"power\": -10.0\n },\n \"trade_offs\": [\n \"Area optimization may increase delay\",\n \"Aggressive sharing increases routing complexity\"\n ],\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"NV_NVDLA_MCIF_WRITE_IG_spt\",\n \"port_count\": {\n \"inputs\": 31,\n \"outputs\": 15,\n \"inouts\": 0,\n \"total\": 46\n },\n \"signal_count\": {\n \"wires\": 76,\n \"regs\": 27,\n \"parameters\": 1,\n \"total\": 103\n },\n \"always_blocks\": 16,\n \"assign_statements\": 64,\n \"instantiations\": [\n \"the\",\n \"define\",\n \"Clock\",\n \"NV_NVDLA_MCIF_WRITE_IG_SPT_pipe_p1\",\n \"NV_BLKBOX_SINK\",\n \"NV_CLK_gate_power\",\n \"NV_NVDLA_MCIF_WRITE_IG_SPT_dfifo\",\n \"NV_NVDLA_MCIF_WRITE_IG_SPT_dfifo_flopram_rwsa_5x514\",\n \"fifo\",\n \"vmw_NV_NVDLA_MCIF_WRITE_IG_SPT_dfifo_flopram_rwsa_5x514\",\n \"set_boundary_optimization\",\n \"perfmon_histogram\",\n \"bc\",\n \"NV_BLKBOX_SRC0\",\n \"translate_on\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 645,\n \"total_lines\": 1027,\n \"cyclomatic_complexity\": 79,\n \"nesting_depth\": 58,\n \"operator_count\": 1741\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "plan_id": "fc57b36ab7dd", "design_id": "06666d1f55af", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/nvdla/hw", "commit": "8e06b1b9d85aab65b40d43d08eec5ea4681ff715", "path": "vmod/nvdla/nocif/NV_NVDLA_MCIF_WRITE_IG_spt.v", "sha256": "8f8e72bff8c1cdb89d428960a5c966af91a82e0e144d56a649298a01edcc3c5e"}} {"question": "The AIG of serv_bufreg shows how many enable-type flip-flops it has. If we optimize this module for power, how well does that register mix fit the recommended clock-gating approach, and what power gain and area cost should we expect?", "answer": "The AIG of serv_bufreg has 32 `$_DFFE_PP_` enable flip-flops and only 1 plain `$_DFF_P_`, alongside 91 AND and 116 NOT nodes. Almost every register already has an enable that the recommended `clockgate` step can use, so the power-targeted flow fits this module well. Its estimated improvement is -25.0 for power, with an area overhead of 5.0, and the flow warns that clock gating adds timing complexity.", "source_file": "github_repos/olofk_serv/rtl/serv_bufreg.v", "module_name": "serv_bufreg", "tool_name": "graph_extractor+optimization_advisor", "tool_parameters": [{"graph_type": "AIG"}, {"target_metric": "power"}], "tool_result": "[graph_extractor {\"graph_type\": \"AIG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"AIG\",\n...[33088 chars elided]...\n \"node_count\": 260,\n \"edge_count\": 636,\n \"graph_properties\": {\n \"node_types\": {\n \"$_AND_\": 91,\n \"$_NOT_\": 116,\n \"$_DFF_P_\": 1,\n \"$_DFFE_PP_\": 32,\n \"port_input\": 16,\n \"port_output\": 4\n },\n \"avg_degree\": 2.45,\n \"module_name\": \"serv_bufreg\"\n },\n \"error\": null\n}\n\n[optimization_advisor {\"target_metric\": \"power\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"power\",\n \"recommended_recipes\": [\n \"synth -top serv_bufreg\",\n \"opt; share; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean; clockgate\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"clock_gating\",\n \"description\": \"Insert clock gating for registers\",\n \"command\": \"clockgate\"\n },\n {\n \"type\": \"operand_isolation\",\n \"description\": \"Isolate operands when not in use\",\n \"command\": \"Use enable signals for arithmetic\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": 5.0,\n \"delay\": 5.0,\n \"power\": -25.0\n },\n \"trade_offs\": [\n \"Power optimization may add area overhead\",\n \"Clock gating adds timing complexity\"\n ],\n \"error\": null\n}", "category": "multi_tool", "subcategory": "graph_extractor+optimization_advisor", "difficulty": "compositional", "question_hash": "2e9b9585be1e", "stage1_target": "[{\"tool\": \"graph_extractor\", \"parameters\": {\"graph_type\": \"AIG\"}}, {\"tool\": \"optimization_advisor\", \"parameters\": {\"target_metric\": \"power\"}}]", "stage2_context": "Question: The AIG of serv_bufreg shows how many enable-type flip-flops it has. If we optimize this module for power, how well does that register mix fit the recommended clock-gating approach, and what power gain and area cost should we expect?\n\n[graph_extractor {\"graph_type\": \"AIG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"AIG\",\n...[33088 chars elided]...\n \"node_count\": 260,\n \"edge_count\": 636,\n \"graph_properties\": {\n \"node_types\": {\n \"$_AND_\": 91,\n \"$_NOT_\": 116,\n \"$_DFF_P_\": 1,\n \"$_DFFE_PP_\": 32,\n \"port_input\": 16,\n \"port_output\": 4\n },\n \"avg_degree\": 2.45,\n \"module_name\": \"serv_bufreg\"\n },\n \"error\": null\n}\n\n[optimization_advisor {\"target_metric\": \"power\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"power\",\n \"recommended_recipes\": [\n \"synth -top serv_bufreg\",\n \"opt; share; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean; clockgate\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"clock_gating\",\n \"description\": \"Insert clock gating for registers\",\n \"command\": \"clockgate\"\n },\n {\n \"type\": \"operand_isolation\",\n \"description\": \"Isolate operands when not in use\",\n \"command\": \"Use enable signals for arithmetic\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": 5.0,\n \"delay\": 5.0,\n \"power\": -25.0\n },\n \"trade_offs\": [\n \"Power optimization may add area overhead\",\n \"Clock gating adds timing complexity\"\n ],\n \"error\": null\n}", "plan_id": "2d5b7ad9ecab", "design_id": "06cb742dc63d", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/olofk/serv", "commit": "f200eb2ed7b69ac1c6b8eddd47654522aeee5ce8", "path": "rtl/serv_bufreg.v", "sha256": "76404174ec92c6cf68e0042798dede84d77c5e454c7f428afc7b9f612a3c52d4"}} {"question": "For the module top, the RTL-to-netlist mapping shows 0 netlist cells. Given that, is an area-targeted optimization flow likely to deliver its estimated benefit here, and what trade-off would I be taking on by running it?", "answer": "The RTL-to-netlist mapping of top has an alignment score of 100.0, all 3 RTL signals map onto 10 netlist wires, and there are 0 netlist cells, so there is almost no logic for the area recipe's \"share -aggressive\" resource sharing to act on. That makes its estimated -15.0 area improvement unlikely to show up in practice. The flow still carries an estimated 5.0 delay penalty and the warning that \"Area optimization may increase delay\".", "source_file": "github_repos/The-OpenROAD-Project_OpenROAD/src/dbSta/test/read_verilog6.v", "module_name": "top", "tool_name": "cross_stage_mapper+optimization_advisor", "tool_parameters": [{}, {"target_metric": "area"}], "tool_result": "[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"in1\": [\n \"in1\"\n ],\n \"r1q\": [\n \"r1q\"\n ],\n \"out\": [\n \"out\"\n ]\n },\n \"alignment_score\": 100.0,\n \"unmapped_elements\": [],\n \"mapping_statistics\": {\n \"rtl_signals\": 3,\n \"netlist_wires\": 10,\n \"netlist_cells\": 0,\n \"mapped_signals\": 3,\n \"unmapped_signals\": 0\n },\n \"error\": null\n}\n\n[optimization_advisor {\"target_metric\": \"area\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"area\",\n \"recommended_recipes\": [\n \"synth -top top -flatten\",\n \"opt -full; share -aggressive; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean -purge\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"resource_sharing\",\n \"description\": \"Share arithmetic operators\",\n \"command\": \"share -aggressive\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": -15.0,\n \"delay\": 5.0,\n \"power\": -10.0\n },\n \"trade_offs\": [\n \"Area optimization may increase delay\",\n \"Aggressive sharing increases routing complexity\"\n ],\n \"error\": null\n}", "category": "multi_tool", "subcategory": "cross_stage_mapper+optimization_advisor", "difficulty": "compositional", "question_hash": "c2c9869961fb", "stage1_target": "[{\"tool\": \"cross_stage_mapper\", \"parameters\": {}}, {\"tool\": \"optimization_advisor\", \"parameters\": {\"target_metric\": \"area\"}}]", "stage2_context": "Question: For the module top, the RTL-to-netlist mapping shows 0 netlist cells. Given that, is an area-targeted optimization flow likely to deliver its estimated benefit here, and what trade-off would I be taking on by running it?\n\n[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"in1\": [\n \"in1\"\n ],\n \"r1q\": [\n \"r1q\"\n ],\n \"out\": [\n \"out\"\n ]\n },\n \"alignment_score\": 100.0,\n \"unmapped_elements\": [],\n \"mapping_statistics\": {\n \"rtl_signals\": 3,\n \"netlist_wires\": 10,\n \"netlist_cells\": 0,\n \"mapped_signals\": 3,\n \"unmapped_signals\": 0\n },\n \"error\": null\n}\n\n[optimization_advisor {\"target_metric\": \"area\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"area\",\n \"recommended_recipes\": [\n \"synth -top top -flatten\",\n \"opt -full; share -aggressive; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean -purge\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"resource_sharing\",\n \"description\": \"Share arithmetic operators\",\n \"command\": \"share -aggressive\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": -15.0,\n \"delay\": 5.0,\n \"power\": -10.0\n },\n \"trade_offs\": [\n \"Area optimization may increase delay\",\n \"Aggressive sharing increases routing complexity\"\n ],\n \"error\": null\n}", "plan_id": "062f33ea8195", "design_id": "07685427c1b9", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/The-OpenROAD-Project/OpenROAD", "commit": "3e3e483a4e3f98e2b5470b272040699de6dedbee", "path": "src/dbSta/test/read_verilog6.v", "sha256": "fb521c6d96f759de88449e00a50a2f4e96d89cf4ecc8e838e7b54bbf773d6b17"}} {"question": "For tempsenseInst, the synthesized netlist is dominated by flip-flops, and a power-focused optimization pass recommends clock gating. Given the current power figure and the register count, how worthwhile is clock gating, and what does it cost in area and delay?", "answer": "At medium effort, synthesis gives tempsenseInst a power of 0.147 and an area of 147.0. The netlist includes 43 sky130_fd_sc_hd__dfrtn_1 and 4 sky130_fd_sc_hd__dfrtp_1 flip-flops, which makes clock gating a good fit. The power-targeted recommendation, which adds the 'clockgate' step, estimates a -25.0 change in power in exchange for 5.0 more area and 5.0 more delay on top of the current 223.44 delay.", "source_file": "github_repos/The-OpenROAD-Project_OpenROAD/src/pdn/test/sky130_power_switch/netlist_regions.v", "module_name": "tempsenseInst", "tool_name": "optimization_advisor+synthesis_tool", "tool_parameters": [{"target_metric": "power"}, {"optimization_level": "medium"}], "tool_result": "[optimization_advisor {\"target_metric\": \"power\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"power\",\n \"recommended_recipes\": [\n \"synth -top tempsenseInst\",\n \"opt; share; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean; clockgate\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"clock_gating\",\n \"description\": \"Insert clock gating for registers\",\n \"command\": \"clockgate\"\n },\n {\n \"type\": \"operand_isolation\",\n \"description\": \"Isolate operands when not in use\",\n \"command\": \"Use enable signals for arithmetic\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": 5.0,\n \"delay\": 5.0,\n \"power\": -25.0\n },\n \"trade_offs\": [\n \"Power optimization may add area overhead\",\n \"Clock gating adds timing complexity\"\n ],\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 147.0,\n \"delay\": 223.44,\n \"power\": 0.147,\n \"gate_count\": 147,\n \"cell_breakdown\": {\n \"SLC\": 1,\n \"sky130_fd_sc_hd__a221oi_4\": 1,\n \"sky130_fd_sc_hd__conb_1\": 1,\n \"sky130_fd_sc_hd__dfrtn_1\": 43,\n \"sky130_fd_sc_hd__dfrtp_1\": 4,\n \"sky130_fd_sc_hd__inv_1\": 55,\n \"sky130_fd_sc_hd__mux4_1\": 1,\n \"sky130_fd_sc_hd__mux4_2\": 1,\n \"sky130_fd_sc_hd__nand2_1\": 3,\n \"sky130_fd_sc_hd__\n...[1781 chars elided]...\n \"error\": null\n}", "category": "multi_tool", "subcategory": "optimization_advisor+synthesis_tool", "difficulty": "compositional", "question_hash": "8fdc849fc534", "stage1_target": "[{\"tool\": \"optimization_advisor\", \"parameters\": {\"target_metric\": \"power\"}}, {\"tool\": \"synthesis_tool\", \"parameters\": {\"optimization_level\": \"medium\"}}]", "stage2_context": "Question: For tempsenseInst, the synthesized netlist is dominated by flip-flops, and a power-focused optimization pass recommends clock gating. Given the current power figure and the register count, how worthwhile is clock gating, and what does it cost in area and delay?\n\n[optimization_advisor {\"target_metric\": \"power\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"power\",\n \"recommended_recipes\": [\n \"synth -top tempsenseInst\",\n \"opt; share; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean; clockgate\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"clock_gating\",\n \"description\": \"Insert clock gating for registers\",\n \"command\": \"clockgate\"\n },\n {\n \"type\": \"operand_isolation\",\n \"description\": \"Isolate operands when not in use\",\n \"command\": \"Use enable signals for arithmetic\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": 5.0,\n \"delay\": 5.0,\n \"power\": -25.0\n },\n \"trade_offs\": [\n \"Power optimization may add area overhead\",\n \"Clock gating adds timing complexity\"\n ],\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 147.0,\n \"delay\": 223.44,\n \"power\": 0.147,\n \"gate_count\": 147,\n \"cell_breakdown\": {\n \"SLC\": 1,\n \"sky130_fd_sc_hd__a221oi_4\": 1,\n \"sky130_fd_sc_hd__conb_1\": 1,\n \"sky130_fd_sc_hd__dfrtn_1\": 43,\n \"sky130_fd_sc_hd__dfrtp_1\": 4,\n \"sky130_fd_sc_hd__inv_1\": 55,\n \"sky130_fd_sc_hd__mux4_1\": 1,\n \"sky130_fd_sc_hd__mux4_2\": 1,\n \"sky130_fd_sc_hd__nand2_1\": 3,\n \"sky130_fd_sc_hd__\n...[1781 chars elided]...\n \"error\": null\n}", "plan_id": "5dc3010bef42", "design_id": "0770463192f9", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/The-OpenROAD-Project/OpenROAD", "commit": "3e3e483a4e3f98e2b5470b272040699de6dedbee", "path": "src/pdn/test/sky130_power_switch/netlist_regions.v", "sha256": "e35aed9d6f98fdf688fd96793b5eb3b61cb64f5839f8cd3437afe5cc387f924c"}} {"question": "In tempsenseInst, the AIG graph analysis gives the cell-type mix, and a medium-effort synthesis run reports timing, area and power. How large is the flip-flop part of this design, and what delay, area and power do you get for it?", "answer": "The AIG graph of tempsenseInst has 43 sky130_fd_sc_hd__dfrtn_1 and 4 sky130_fd_sc_hd__dfrtp_1 flip-flops, along with 55 sky130_fd_sc_hd__inv_1 inverters and an average degree of 3.1. With medium optimization, synthesis gives a delay of 223.44, an area of 147.0 (147 gates) and power of 0.147.", "source_file": "github_repos/The-OpenROAD-Project_OpenROAD/src/pdn/test/sky130_power_switch/netlist_regions.v", "module_name": "tempsenseInst", "tool_name": "graph_extractor+synthesis_tool", "tool_parameters": [{"graph_type": "AIG"}, {"optimization_level": "medium"}], "tool_result": "[graph_extractor {\"graph_type\": \"AIG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"AIG\",\n...[39867 chars elided]...\nky130_fd_sc_hd__o311a_1\": 1,\n \"sky130_fd_sc_hd__nand3b_1\": 2,\n \"sky130_fd_sc_hd__or3_1\": 1,\n \"sky130_fd_sc_hd__o2111a_2\": 1,\n \"sky130_fd_sc_hd__mux4_2\": 1,\n \"sky130_fd_sc_hd__a221oi_4\": 1,\n \"sky130_fd_sc_hd__o211a_1\": 2,\n \"sky130_fd_sc_hd__inv_1\": 55,\n \"sky130_fd_sc_hd__nor3_2\": 4,\n \"sky130_fd_sc_hd__nor3_1\": 21,\n \"sky130_fd_sc_hd__nor2_1\": 1,\n \"sky130_fd_sc_hd__or2_2\": 1,\n \"sky130_fd_sc_hd__or2b_1\": 1,\n \"sky130_fd_sc_hd__nand2_1\": 3,\n \"sky130_fd_sc_hd__or3b_2\": 1,\n \"sky130_fd_sc_hd__o221ai_1\": 1,\n \"sky130_fd_sc_hd__mux4_1\": 1,\n \"sky130_fd_sc_hd__conb_1\": 1,\n \"sky130_fd_sc_hd__dfrtn_1\": 43,\n \"sky130_fd_sc_hd__dfrtp_1\": 4,\n \"SLC\": 1,\n \"port_input\": 4,\n \"port_output\": 5\n },\n \"avg_degree\": 3.1,\n \"module_name\": \"tempsenseInst\"\n },\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 147.0,\n \"delay\": 223.44,\n \"power\": 0.147,\n \"gate_count\": 147,\n \"cell_breakdown\": {\n \"SLC\": 1,\n \"sky130_fd_sc_hd__a221oi_4\": 1,\n \"sky130_fd_sc_hd__conb_1\": 1,\n \"sky130_fd_sc_hd__dfrtn_1\": 43,\n \"sky130_fd_sc_hd__dfrtp_1\": 4,\n \"sky130_fd_sc_hd__inv_1\": 55,\n \"sky130_fd_sc_hd__mux4_1\": 1,\n \"sky130_fd_sc_hd__mux4_2\": 1,\n \"sky130_fd_sc_hd__nand2_1\": 3,\n \"sky130_fd_sc_hd__\n...[1781 chars elided]...\n \"error\": null\n}", "category": "multi_tool", "subcategory": "graph_extractor+synthesis_tool", "difficulty": "compositional", "question_hash": "fe629b94361e", "stage1_target": "[{\"tool\": \"graph_extractor\", \"parameters\": {\"graph_type\": \"AIG\"}}, {\"tool\": \"synthesis_tool\", \"parameters\": {\"optimization_level\": \"medium\"}}]", "stage2_context": "Question: In tempsenseInst, the AIG graph analysis gives the cell-type mix, and a medium-effort synthesis run reports timing, area and power. How large is the flip-flop part of this design, and what delay, area and power do you get for it?\n\n[graph_extractor {\"graph_type\": \"AIG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"AIG\",\n...[39867 chars elided]...\nky130_fd_sc_hd__o311a_1\": 1,\n \"sky130_fd_sc_hd__nand3b_1\": 2,\n \"sky130_fd_sc_hd__or3_1\": 1,\n \"sky130_fd_sc_hd__o2111a_2\": 1,\n \"sky130_fd_sc_hd__mux4_2\": 1,\n \"sky130_fd_sc_hd__a221oi_4\": 1,\n \"sky130_fd_sc_hd__o211a_1\": 2,\n \"sky130_fd_sc_hd__inv_1\": 55,\n \"sky130_fd_sc_hd__nor3_2\": 4,\n \"sky130_fd_sc_hd__nor3_1\": 21,\n \"sky130_fd_sc_hd__nor2_1\": 1,\n \"sky130_fd_sc_hd__or2_2\": 1,\n \"sky130_fd_sc_hd__or2b_1\": 1,\n \"sky130_fd_sc_hd__nand2_1\": 3,\n \"sky130_fd_sc_hd__or3b_2\": 1,\n \"sky130_fd_sc_hd__o221ai_1\": 1,\n \"sky130_fd_sc_hd__mux4_1\": 1,\n \"sky130_fd_sc_hd__conb_1\": 1,\n \"sky130_fd_sc_hd__dfrtn_1\": 43,\n \"sky130_fd_sc_hd__dfrtp_1\": 4,\n \"SLC\": 1,\n \"port_input\": 4,\n \"port_output\": 5\n },\n \"avg_degree\": 3.1,\n \"module_name\": \"tempsenseInst\"\n },\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 147.0,\n \"delay\": 223.44,\n \"power\": 0.147,\n \"gate_count\": 147,\n \"cell_breakdown\": {\n \"SLC\": 1,\n \"sky130_fd_sc_hd__a221oi_4\": 1,\n \"sky130_fd_sc_hd__conb_1\": 1,\n \"sky130_fd_sc_hd__dfrtn_1\": 43,\n \"sky130_fd_sc_hd__dfrtp_1\": 4,\n \"sky130_fd_sc_hd__inv_1\": 55,\n \"sky130_fd_sc_hd__mux4_1\": 1,\n \"sky130_fd_sc_hd__mux4_2\": 1,\n \"sky130_fd_sc_hd__nand2_1\": 3,\n \"sky130_fd_sc_hd__\n...[1781 chars elided]...\n \"error\": null\n}", "plan_id": "d48da77a0916", "design_id": "0770463192f9", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/The-OpenROAD-Project/OpenROAD", "commit": "3e3e483a4e3f98e2b5470b272040699de6dedbee", "path": "src/pdn/test/sky130_power_switch/netlist_regions.v", "sha256": "e35aed9d6f98fdf688fd96793b5eb3b61cb64f5839f8cd3437afe5cc387f924c"}} {"question": "For the gcd module, how many DFF_X1 flip-flops does the CDFG show, and how does that line up with the source-level check of how many always blocks and reg declarations the netlist has? What does this suggest about how the design is written?", "answer": "The CDFG for gcd has 34 DFF_X1 cells among cells such as 92 NAND2_X1 and 58 INV_X1. The source-level check reports 0 always blocks, 0 regs and 397 wires, with a cyclomatic complexity of 1. Together these show that gcd is a flat, gate-level netlist: all of its state comes from instantiated DFF_X1 cells rather than behavioral registers.", "source_file": "github_repos/The-OpenROAD-Project_OpenROAD/src/par/test/gcd.v", "module_name": "gcd", "tool_name": "graph_extractor+static_analyzer", "tool_parameters": [{"graph_type": "CDFG"}, {"analysis_type": "full"}], "tool_result": "[graph_extractor {\"graph_type\": \"CDFG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"CDFG\",\n...[38373 chars elided]...\nperties\": {\n \"node_types\": {\n \"INV_X1\": 58,\n \"NAND2_X1\": 92,\n \"NAND2_X2\": 17,\n \"NOR2_X4\": 5,\n \"NOR2_X1\": 29,\n \"NAND3_X1\": 17,\n \"NOR2_X2\": 11,\n \"INV_X2\": 15,\n \"OAI21_X1\": 46,\n \"AND2_X2\": 1,\n \"NOR3_X4\": 1,\n \"AND2_X4\": 1,\n \"OAI22_X1\": 1,\n \"NAND2_X4\": 2,\n \"BUF_X2\": 2,\n \"OR2_X1\": 3,\n \"NAND4_X4\": 1,\n \"NAND3_X2\": 2,\n \"AOI21_X4\": 2,\n \"BUF_X8\": 3,\n \"BUF_X1\": 4,\n \"NAND4_X1\": 9,\n \"XOR2_X1\": 3,\n \"CLKBUF_X1\": 2,\n \"AOI21_X1\": 22,\n \"XNOR2_X1\": 9,\n \"AOI21_X2\": 8,\n \"XOR2_X2\": 1,\n \"XNOR2_X2\": 1,\n \"NOR3_X1\": 2,\n \"BUF_X4\": 1,\n \"MUX2_X1\": 4,\n \"NOR4_X1\": 4,\n \"AND2_X1\": 2,\n \"DFF_X1\": 34,\n \"port_input\": 5,\n \"port_output\": 3\n },\n \"avg_degree\": 3.14,\n \"module_name\": \"gcd\"\n },\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"gcd\",\n \"port_count\": {\n \"inputs\": 5,\n \"outputs\": 3,\n \"inouts\": 0,\n \"total\": 8\n },\n \"signal_count\": {\n \"wires\": 397,\n \"regs\": 0,\n \"parameters\": 0,\n \"total\": 397\n },\n \"always_blocks\": 0,\n \"assign_statements\": 0,\n \"instantiations\": [\n \"XOR2_X1\",\n \"BUF_X8\",\n \"NOR2_X4\",\n \"XNOR2_X1\",\n \"NAND2_X4\",\n \"OAI22_X1\",\n \"CLKBUF_X1\",\n \"NOR2_X2\",\n \"DFF_X1\",\n \"NOR3_X1\",\n \"OR2_X1\",\n \"MUX2_X1\",\n \"NAND2_X1\",\n \"INV_X2\",\n \"AOI21_X4\",\n \"AND2_X2\",\n \"NOR4_X1\",\n \"OAI21_X1\",\n \"NAND4_X1\",\n \"INV_X1\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 2600,\n \"total_lines\": 2602,\n \"cyclomatic_complexity\": 1,\n \"nesting_depth\": 0,\n \"operator_count\": 7\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "category": "multi_tool", "subcategory": "graph_extractor+static_analyzer", "difficulty": "compositional", "question_hash": "0b817145ef56", "stage1_target": "[{\"tool\": \"graph_extractor\", \"parameters\": {\"graph_type\": \"CDFG\"}}, {\"tool\": \"static_analyzer\", \"parameters\": {\"analysis_type\": \"full\"}}]", "stage2_context": "Question: For the gcd module, how many DFF_X1 flip-flops does the CDFG show, and how does that line up with the source-level check of how many always blocks and reg declarations the netlist has? What does this suggest about how the design is written?\n\n[graph_extractor {\"graph_type\": \"CDFG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"CDFG\",\n...[38373 chars elided]...\nperties\": {\n \"node_types\": {\n \"INV_X1\": 58,\n \"NAND2_X1\": 92,\n \"NAND2_X2\": 17,\n \"NOR2_X4\": 5,\n \"NOR2_X1\": 29,\n \"NAND3_X1\": 17,\n \"NOR2_X2\": 11,\n \"INV_X2\": 15,\n \"OAI21_X1\": 46,\n \"AND2_X2\": 1,\n \"NOR3_X4\": 1,\n \"AND2_X4\": 1,\n \"OAI22_X1\": 1,\n \"NAND2_X4\": 2,\n \"BUF_X2\": 2,\n \"OR2_X1\": 3,\n \"NAND4_X4\": 1,\n \"NAND3_X2\": 2,\n \"AOI21_X4\": 2,\n \"BUF_X8\": 3,\n \"BUF_X1\": 4,\n \"NAND4_X1\": 9,\n \"XOR2_X1\": 3,\n \"CLKBUF_X1\": 2,\n \"AOI21_X1\": 22,\n \"XNOR2_X1\": 9,\n \"AOI21_X2\": 8,\n \"XOR2_X2\": 1,\n \"XNOR2_X2\": 1,\n \"NOR3_X1\": 2,\n \"BUF_X4\": 1,\n \"MUX2_X1\": 4,\n \"NOR4_X1\": 4,\n \"AND2_X1\": 2,\n \"DFF_X1\": 34,\n \"port_input\": 5,\n \"port_output\": 3\n },\n \"avg_degree\": 3.14,\n \"module_name\": \"gcd\"\n },\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"gcd\",\n \"port_count\": {\n \"inputs\": 5,\n \"outputs\": 3,\n \"inouts\": 0,\n \"total\": 8\n },\n \"signal_count\": {\n \"wires\": 397,\n \"regs\": 0,\n \"parameters\": 0,\n \"total\": 397\n },\n \"always_blocks\": 0,\n \"assign_statements\": 0,\n \"instantiations\": [\n \"XOR2_X1\",\n \"BUF_X8\",\n \"NOR2_X4\",\n \"XNOR2_X1\",\n \"NAND2_X4\",\n \"OAI22_X1\",\n \"CLKBUF_X1\",\n \"NOR2_X2\",\n \"DFF_X1\",\n \"NOR3_X1\",\n \"OR2_X1\",\n \"MUX2_X1\",\n \"NAND2_X1\",\n \"INV_X2\",\n \"AOI21_X4\",\n \"AND2_X2\",\n \"NOR4_X1\",\n \"OAI21_X1\",\n \"NAND4_X1\",\n \"INV_X1\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 2600,\n \"total_lines\": 2602,\n \"cyclomatic_complexity\": 1,\n \"nesting_depth\": 0,\n \"operator_count\": 7\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "plan_id": "e090824fe798", "design_id": "0de9c8a00e38", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/The-OpenROAD-Project/OpenROAD", "commit": "3e3e483a4e3f98e2b5470b272040699de6dedbee", "path": "src/par/test/gcd.v", "sha256": "38269e4715fdc2c034efe29d7d9895da1fe76ee1fe30b4176e784cc6d8403f11"}} {"question": "For the gcd module, the medium-effort synthesis result comes in at 415.0 area with 305.06 delay. If I apply the recommended area-targeted recipe with aggressive operator sharing, what change in area and delay should I expect, and what trade-off comes with it given the current flip-flop count?", "answer": "The medium-effort synthesis of gcd gives 415.0 area, 305.06 delay and 0.415 power, using 415 gates, including 34 DFF_X1 flip-flops. The area-targeted recipe with 'share -aggressive' is estimated to change area by -15.0 and power by -10.0, but delay by +5.0. The listed trade-offs are 'Area optimization may increase delay' and 'Aggressive sharing increases routing complexity'.", "source_file": "github_repos/The-OpenROAD-Project_OpenROAD/src/par/test/gcd.v", "module_name": "gcd", "tool_name": "optimization_advisor+synthesis_tool", "tool_parameters": [{"target_metric": "area"}, {"optimization_level": "medium"}], "tool_result": "[optimization_advisor {\"target_metric\": \"area\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"area\",\n \"recommended_recipes\": [\n \"synth -top gcd -flatten\",\n \"opt -full; share -aggressive; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean -purge\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"resource_sharing\",\n \"description\": \"Share arithmetic operators\",\n \"command\": \"share -aggressive\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": -15.0,\n \"delay\": 5.0,\n \"power\": -10.0\n },\n \"trade_offs\": [\n \"Area optimization may increase delay\",\n \"Aggressive sharing increases routing complexity\"\n ],\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 415.0,\n \"delay\": 305.06,\n \"power\": 0.415,\n \"gate_count\": 415,\n \"cell_breakdown\": {\n \"AND2_X1\": 2,\n \"AND2_X2\": 1,\n \"AND2_X4\": 1,\n \"AOI21_X1\": 22,\n \"AOI21_X2\": 8,\n \"AOI21_X4\": 2,\n \"BUF_X1\": 4,\n \"BUF_X2\": 2,\n \"BUF_X4\": 1,\n \"BUF_X8\": 3,\n \"CLKBUF_X1\": 2,\n \"DFF_X1\": 34,\n \"INV_X1\": 58,\n \"INV_X2\": 15,\n \"MUX2_X1\": 4,\n \"NAND2_X1\": 92,\n \"NAND2_X2\": 17,\n \n...[1776 chars elided]...\n \"error\": null\n}", "category": "multi_tool", "subcategory": "optimization_advisor+synthesis_tool", "difficulty": "compositional", "question_hash": "96620c113f17", "stage1_target": "[{\"tool\": \"optimization_advisor\", \"parameters\": {\"target_metric\": \"area\"}}, {\"tool\": \"synthesis_tool\", \"parameters\": {\"optimization_level\": \"medium\"}}]", "stage2_context": "Question: For the gcd module, the medium-effort synthesis result comes in at 415.0 area with 305.06 delay. If I apply the recommended area-targeted recipe with aggressive operator sharing, what change in area and delay should I expect, and what trade-off comes with it given the current flip-flop count?\n\n[optimization_advisor {\"target_metric\": \"area\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"area\",\n \"recommended_recipes\": [\n \"synth -top gcd -flatten\",\n \"opt -full; share -aggressive; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean -purge\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"resource_sharing\",\n \"description\": \"Share arithmetic operators\",\n \"command\": \"share -aggressive\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": -15.0,\n \"delay\": 5.0,\n \"power\": -10.0\n },\n \"trade_offs\": [\n \"Area optimization may increase delay\",\n \"Aggressive sharing increases routing complexity\"\n ],\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 415.0,\n \"delay\": 305.06,\n \"power\": 0.415,\n \"gate_count\": 415,\n \"cell_breakdown\": {\n \"AND2_X1\": 2,\n \"AND2_X2\": 1,\n \"AND2_X4\": 1,\n \"AOI21_X1\": 22,\n \"AOI21_X2\": 8,\n \"AOI21_X4\": 2,\n \"BUF_X1\": 4,\n \"BUF_X2\": 2,\n \"BUF_X4\": 1,\n \"BUF_X8\": 3,\n \"CLKBUF_X1\": 2,\n \"DFF_X1\": 34,\n \"INV_X1\": 58,\n \"INV_X2\": 15,\n \"MUX2_X1\": 4,\n \"NAND2_X1\": 92,\n \"NAND2_X2\": 17,\n \n...[1776 chars elided]...\n \"error\": null\n}", "plan_id": "fca5d7158f91", "design_id": "0de9c8a00e38", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/The-OpenROAD-Project/OpenROAD", "commit": "3e3e483a4e3f98e2b5470b272040699de6dedbee", "path": "src/par/test/gcd.v", "sha256": "38269e4715fdc2c034efe29d7d9895da1fe76ee1fe30b4176e784cc6d8403f11"}} {"question": "For the clock-gating latch cell CKLNQD12, how well does the RTL line up with the netlist, which signal fails to map, and does the area-targeted optimization advice make sense for a design this small given its static structure?", "answer": "CKLNQD12 maps RTL to netlist with an alignment score of 80.0: 4 signals map, and only the internal signal \"qd\" stays unmapped. Static analysis finds a small design with 3 inputs, 1 output, 1 reg, 1 always block, a cyclomatic complexity of 2, no instantiations and no lint warnings. That makes the area-targeted advice of \"share -aggressive\" for sharing arithmetic operators of little use, even though it estimates an area change of -15.0 at a delay cost of 5.0.", "source_file": "github_repos/nvdla_hw/vmod/vlibs/CKLNQD12.v", "module_name": "CKLNQD12", "tool_name": "cross_stage_mapper+optimization_advisor+static_analyzer", "tool_parameters": [{}, {"target_metric": "area"}, {"analysis_type": "full"}], "tool_result": "[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"qd\": [],\n \"E\": [\n \"E\",\n \"TE\"\n ],\n \"Q\": [\n \"Q\"\n ],\n \"TE\": [\n \"TE\"\n ],\n \"CP\": [\n \"CP\"\n ]\n },\n \"alignment_score\": 80.0,\n \"unmapped_elements\": [\n \"qd\"\n ],\n \"mapping_statistics\": {\n \"rtl_signals\": 5,\n \"netlist_wires\": 11,\n \"netlist_cells\": 0,\n \"mapped_signals\": 4,\n \"unmapped_signals\": 1\n },\n \"error\": null\n}\n\n[optimization_advisor {\"target_metric\": \"area\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"area\",\n \"recommended_recipes\": [\n \"synth -top CKLNQD12 -flatten\",\n \"opt -full; share -aggressive; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean -purge\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"resource_sharing\",\n \"description\": \"Share arithmetic operators\",\n \"command\": \"share -aggressive\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": -15.0,\n \"delay\": 5.0,\n \"power\": -10.0\n },\n \"trade_offs\": [\n \"Area optimization may increase delay\",\n \"Aggressive sharing increases routing complexity\"\n ],\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"CKLNQD12\",\n \"port_count\": {\n \"inputs\": 3,\n \"outputs\": 1,\n \"inouts\": 0,\n \"total\": 4\n },\n \"signal_count\": {\n \"wires\": 0,\n \"regs\": 1,\n \"parameters\": 0,\n \"total\": 1\n },\n \"always_blocks\": 1,\n \"assign_statements\": 1,\n \"instantiations\": [],\n \"code_complexity\": {\n \"lines_of_code\": 15,\n \"total_lines\": 29,\n \"cyclomatic_complexity\": 2,\n \"nesting_depth\": 0,\n \"operator_count\": 150\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "category": "multi_tool", "subcategory": "cross_stage_mapper+optimization_advisor+static_analyzer", "difficulty": "compositional", "question_hash": "83848199c3d7", "stage1_target": "[{\"tool\": \"cross_stage_mapper\", \"parameters\": {}}, {\"tool\": \"optimization_advisor\", \"parameters\": {\"target_metric\": \"area\"}}, {\"tool\": \"static_analyzer\", \"parameters\": {\"analysis_type\": \"full\"}}]", "stage2_context": "Question: For the clock-gating latch cell CKLNQD12, how well does the RTL line up with the netlist, which signal fails to map, and does the area-targeted optimization advice make sense for a design this small given its static structure?\n\n[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"qd\": [],\n \"E\": [\n \"E\",\n \"TE\"\n ],\n \"Q\": [\n \"Q\"\n ],\n \"TE\": [\n \"TE\"\n ],\n \"CP\": [\n \"CP\"\n ]\n },\n \"alignment_score\": 80.0,\n \"unmapped_elements\": [\n \"qd\"\n ],\n \"mapping_statistics\": {\n \"rtl_signals\": 5,\n \"netlist_wires\": 11,\n \"netlist_cells\": 0,\n \"mapped_signals\": 4,\n \"unmapped_signals\": 1\n },\n \"error\": null\n}\n\n[optimization_advisor {\"target_metric\": \"area\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"area\",\n \"recommended_recipes\": [\n \"synth -top CKLNQD12 -flatten\",\n \"opt -full; share -aggressive; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean -purge\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"resource_sharing\",\n \"description\": \"Share arithmetic operators\",\n \"command\": \"share -aggressive\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": -15.0,\n \"delay\": 5.0,\n \"power\": -10.0\n },\n \"trade_offs\": [\n \"Area optimization may increase delay\",\n \"Aggressive sharing increases routing complexity\"\n ],\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"CKLNQD12\",\n \"port_count\": {\n \"inputs\": 3,\n \"outputs\": 1,\n \"inouts\": 0,\n \"total\": 4\n },\n \"signal_count\": {\n \"wires\": 0,\n \"regs\": 1,\n \"parameters\": 0,\n \"total\": 1\n },\n \"always_blocks\": 1,\n \"assign_statements\": 1,\n \"instantiations\": [],\n \"code_complexity\": {\n \"lines_of_code\": 15,\n \"total_lines\": 29,\n \"cyclomatic_complexity\": 2,\n \"nesting_depth\": 0,\n \"operator_count\": 150\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "plan_id": "584d4710d924", "design_id": "1078962b4928", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 3, "ctx_cap": 3300, "source": {"repository": "https://github.com/nvdla/hw", "commit": "8e06b1b9d85aab65b40d43d08eec5ea4681ff715", "path": "vmod/vlibs/CKLNQD12.v", "sha256": "80bf2ace4582b6d834281c18cb9b18ce7e591c423268a968dcd42aaadda0ddb3"}} {"question": "The AIG of module top contains only a single buffer cell between its input and output. Given that structure, is the delay-targeted optimization's suggestion to pipeline arithmetic operations worth pursuing, and what would applying the recommended speed recipe cost you?", "answer": "The AIG of top has just 3 nodes and 2 edges (one BUF_X1 driving out1 from in1), so there is no arithmetic to pipeline and the pipeline_insertion suggestion doesn't apply. Applying the delay-targeted recipe, which estimates a -20.0 delay change, would still come with an estimated area change of 10.0 and power change of 5.0, matching the noted trade-off that 'Speed optimization increases area'.", "source_file": "github_repos/The-OpenROAD-Project_OpenROAD/src/dbSta/test/read_verilog8.v", "module_name": "top", "tool_name": "graph_extractor+optimization_advisor", "tool_parameters": [{"graph_type": "AIG"}, {"target_metric": "delay"}], "tool_result": "[graph_extractor {\"graph_type\": \"AIG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"AIG\",\n \"node_count\": 3,\n \"edge_count\": 2,\n \"graph_properties\": {\n \"node_types\": {\n \"BUF_X1\": 1,\n \"port_input\": 1,\n \"port_output\": 1\n },\n \"avg_degree\": 0.67,\n \"module_name\": \"top\"\n },\n \"error\": null\n}\n\n[optimization_advisor {\"target_metric\": \"delay\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"delay\",\n \"recommended_recipes\": [\n \"synth -top top\",\n \"opt -fast\",\n \"abc -fast -liberty stdcells.lib\",\n \"opt_clean\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"pipeline_insertion\",\n \"description\": \"Consider pipelining arithmetic operations\",\n \"command\": \"Use register retiming\"\n },\n {\n \"type\": \"logic_duplication\",\n \"description\": \"Duplicate logic to reduce fanout\",\n \"command\": \"splitnets -driver\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": 10.0,\n \"delay\": -20.0,\n \"power\": 5.0\n },\n \"trade_offs\": [\n \"Speed optimization increases area\",\n \"Higher power consumption\"\n ],\n \"error\": null\n}", "category": "multi_tool", "subcategory": "graph_extractor+optimization_advisor", "difficulty": "compositional", "question_hash": "21f603f2320b", "stage1_target": "[{\"tool\": \"graph_extractor\", \"parameters\": {\"graph_type\": \"AIG\"}}, {\"tool\": \"optimization_advisor\", \"parameters\": {\"target_metric\": \"delay\"}}]", "stage2_context": "Question: The AIG of module top contains only a single buffer cell between its input and output. Given that structure, is the delay-targeted optimization's suggestion to pipeline arithmetic operations worth pursuing, and what would applying the recommended speed recipe cost you?\n\n[graph_extractor {\"graph_type\": \"AIG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"AIG\",\n \"node_count\": 3,\n \"edge_count\": 2,\n \"graph_properties\": {\n \"node_types\": {\n \"BUF_X1\": 1,\n \"port_input\": 1,\n \"port_output\": 1\n },\n \"avg_degree\": 0.67,\n \"module_name\": \"top\"\n },\n \"error\": null\n}\n\n[optimization_advisor {\"target_metric\": \"delay\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"delay\",\n \"recommended_recipes\": [\n \"synth -top top\",\n \"opt -fast\",\n \"abc -fast -liberty stdcells.lib\",\n \"opt_clean\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"pipeline_insertion\",\n \"description\": \"Consider pipelining arithmetic operations\",\n \"command\": \"Use register retiming\"\n },\n {\n \"type\": \"logic_duplication\",\n \"description\": \"Duplicate logic to reduce fanout\",\n \"command\": \"splitnets -driver\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": 10.0,\n \"delay\": -20.0,\n \"power\": 5.0\n },\n \"trade_offs\": [\n \"Speed optimization increases area\",\n \"Higher power consumption\"\n ],\n \"error\": null\n}", "plan_id": "c737db57065d", "design_id": "120c66c54946", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/The-OpenROAD-Project/OpenROAD", "commit": "3e3e483a4e3f98e2b5470b272040699de6dedbee", "path": "src/dbSta/test/read_verilog8.v", "sha256": "bbbb737feb03b0b8f82a70e2e679a09e19a18b3d0d10851ddc9157bdbfbdd664"}} {"question": "For PGAOPV_AN2D2PO4, does the CDFG show logic that matches how the RTL ports map onto the netlist? Specifically, how many logic operation nodes and edges does the CDFG have, and are all RTL signals accounted for in the netlist mapping?", "answer": "The CDFG for PGAOPV_AN2D2PO4 has 4 nodes and 3 edges. Only one is a logic node, a single $and that takes inputs A1 and A2 and drives output Z. This matches the netlist mapping, where all 3 RTL signals (A1, A2, Z) map one-to-one, with an alignment score of 100.0 and no unmapped elements.", "source_file": "github_repos/nvdla_hw/vmod/vlibs/PGAOPV_AN2D2PO4.v", "module_name": "PGAOPV_AN2D2PO4", "tool_name": "cross_stage_mapper+graph_extractor", "tool_parameters": [{}, {"graph_type": "CDFG"}], "tool_result": "[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"A1\": [\n \"A1\"\n ],\n \"A2\": [\n \"A2\"\n ],\n \"Z\": [\n \"Z\"\n ]\n },\n \"alignment_score\": 100.0,\n \"unmapped_elements\": [],\n \"mapping_statistics\": {\n \"rtl_signals\": 3,\n \"netlist_wires\": 6,\n \"netlist_cells\": 0,\n \"mapped_signals\": 3,\n \"unmapped_signals\": 0\n },\n \"error\": null\n}\n\n[graph_extractor {\"graph_type\": \"CDFG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"CDFG\",\n...[51 chars elided]...\n \"node_count\": 4,\n \"edge_count\": 3,\n \"graph_properties\": {\n \"node_types\": {\n \"$and\": 1,\n \"port_input\": 2,\n \"port_output\": 1\n },\n \"avg_degree\": 0.75,\n \"module_name\": \"PGAOPV_AN2D2PO4\"\n },\n \"error\": null\n}", "category": "multi_tool", "subcategory": "cross_stage_mapper+graph_extractor", "difficulty": "compositional", "question_hash": "3915446bdf02", "stage1_target": "[{\"tool\": \"cross_stage_mapper\", \"parameters\": {}}, {\"tool\": \"graph_extractor\", \"parameters\": {\"graph_type\": \"CDFG\"}}]", "stage2_context": "Question: For PGAOPV_AN2D2PO4, does the CDFG show logic that matches how the RTL ports map onto the netlist? Specifically, how many logic operation nodes and edges does the CDFG have, and are all RTL signals accounted for in the netlist mapping?\n\n[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"A1\": [\n \"A1\"\n ],\n \"A2\": [\n \"A2\"\n ],\n \"Z\": [\n \"Z\"\n ]\n },\n \"alignment_score\": 100.0,\n \"unmapped_elements\": [],\n \"mapping_statistics\": {\n \"rtl_signals\": 3,\n \"netlist_wires\": 6,\n \"netlist_cells\": 0,\n \"mapped_signals\": 3,\n \"unmapped_signals\": 0\n },\n \"error\": null\n}\n\n[graph_extractor {\"graph_type\": \"CDFG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"CDFG\",\n...[51 chars elided]...\n \"node_count\": 4,\n \"edge_count\": 3,\n \"graph_properties\": {\n \"node_types\": {\n \"$and\": 1,\n \"port_input\": 2,\n \"port_output\": 1\n },\n \"avg_degree\": 0.75,\n \"module_name\": \"PGAOPV_AN2D2PO4\"\n },\n \"error\": null\n}", "plan_id": "88b33a37698d", "design_id": "15d96b1ea9be", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/nvdla/hw", "commit": "8e06b1b9d85aab65b40d43d08eec5ea4681ff715", "path": "vmod/vlibs/PGAOPV_AN2D2PO4.v", "sha256": "045102f4179fb57d8ffa3e95d0c08acffc9126ee4976f2b3cb7a1777343cfe87"}} {"question": "For NV_CLK_gate_power, the CDFG shows the design is just one clock-gating cell plus its ports. Given that, does it make sense to apply the suggested delay optimizations such as pipelining arithmetic, and what trade-off would they bring?", "answer": "The CDFG for NV_CLK_gate_power has only 5 nodes and 4 edges: one CKLNQD12 clock-gating cell connected through its CP, E, Q and TE pins. There is no arithmetic to pipeline and almost no fanout to split, so the delay optimization's estimated -20.0 delay improvement doesn't really apply here. Trying it would mainly cost about 10.0 more area and 5.0 more power, and it would put a clock-tree cell through generic restructuring.", "source_file": "github_repos/nvdla_hw/vmod/vlibs/NV_CLK_gate_power.v", "module_name": "NV_CLK_gate_power", "tool_name": "graph_extractor+optimization_advisor", "tool_parameters": [{"graph_type": "CDFG"}, {"target_metric": "delay"}], "tool_result": "[graph_extractor {\"graph_type\": \"CDFG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"CDFG\",\n \"node_count\": 5,\n \"edge_count\": 4,\n \"graph_properties\": {\n \"node_types\": {\n \"CKLNQD12\": 1,\n \"port_input\": 3,\n \"port_output\": 1\n },\n \"avg_degree\": 0.8,\n \"module_name\": \"NV_CLK_gate_power\"\n },\n \"error\": null\n}\n\n[optimization_advisor {\"target_metric\": \"delay\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"delay\",\n \"recommended_recipes\": [\n \"synth -top NV_CLK_gate_power\",\n \"opt -fast\",\n \"abc -fast -liberty stdcells.lib\",\n \"opt_clean\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"pipeline_insertion\",\n \"description\": \"Consider pipelining arithmetic operations\",\n \"command\": \"Use register retiming\"\n },\n {\n \"type\": \"logic_duplication\",\n \"description\": \"Duplicate logic to reduce fanout\",\n \"command\": \"splitnets -driver\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": 10.0,\n \"delay\": -20.0,\n \"power\": 5.0\n },\n \"trade_offs\": [\n \"Speed optimization increases area\",\n \"Higher power consumption\"\n ],\n \"error\": null\n}", "category": "multi_tool", "subcategory": "graph_extractor+optimization_advisor", "difficulty": "compositional", "question_hash": "27c6c57e29d4", "stage1_target": "[{\"tool\": \"graph_extractor\", \"parameters\": {\"graph_type\": \"CDFG\"}}, {\"tool\": \"optimization_advisor\", \"parameters\": {\"target_metric\": \"delay\"}}]", "stage2_context": "Question: For NV_CLK_gate_power, the CDFG shows the design is just one clock-gating cell plus its ports. Given that, does it make sense to apply the suggested delay optimizations such as pipelining arithmetic, and what trade-off would they bring?\n\n[graph_extractor {\"graph_type\": \"CDFG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"CDFG\",\n \"node_count\": 5,\n \"edge_count\": 4,\n \"graph_properties\": {\n \"node_types\": {\n \"CKLNQD12\": 1,\n \"port_input\": 3,\n \"port_output\": 1\n },\n \"avg_degree\": 0.8,\n \"module_name\": \"NV_CLK_gate_power\"\n },\n \"error\": null\n}\n\n[optimization_advisor {\"target_metric\": \"delay\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"delay\",\n \"recommended_recipes\": [\n \"synth -top NV_CLK_gate_power\",\n \"opt -fast\",\n \"abc -fast -liberty stdcells.lib\",\n \"opt_clean\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"pipeline_insertion\",\n \"description\": \"Consider pipelining arithmetic operations\",\n \"command\": \"Use register retiming\"\n },\n {\n \"type\": \"logic_duplication\",\n \"description\": \"Duplicate logic to reduce fanout\",\n \"command\": \"splitnets -driver\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": 10.0,\n \"delay\": -20.0,\n \"power\": 5.0\n },\n \"trade_offs\": [\n \"Speed optimization increases area\",\n \"Higher power consumption\"\n ],\n \"error\": null\n}", "plan_id": "268dc72a8aac", "design_id": "1b16f25f6029", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/nvdla/hw", "commit": "8e06b1b9d85aab65b40d43d08eec5ea4681ff715", "path": "vmod/vlibs/NV_CLK_gate_power.v", "sha256": "a70ff151f1b40c75816b3aff24447140988453a48fc8f751c1c06a72a915c66c"}} {"question": "For e203_irq_sync, I'm considering a power-focused optimization flow that adds clock gating. Given what the module's structure looks like (its port count, whether it has any always blocks, and how it's built), how much power reduction is projected, what does it cost in area, and is clock gating likely to be worth it for this design?", "answer": "The power-targeted flow projects a -25.0 power change with a 5.0 area overhead and recommends the \"clockgate\" step. However, e203_irq_sync has only 10 ports, 0 always blocks and 8 assign statements, and its logic is built through a generate instantiation, so the register-level clock-gating benefit should be checked against the synchronizer flops that the generate block actually instantiates before you accept the area and timing-complexity trade-offs.", "source_file": "github_repos/riscv-mcu_e203_hbirdv2/rtl/e203/core/e203_irq_sync.v", "module_name": "e203_irq_sync", "tool_name": "optimization_advisor+static_analyzer", "tool_parameters": [{"target_metric": "power"}, {"analysis_type": "full"}], "tool_result": "[optimization_advisor {\"target_metric\": \"power\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"power\",\n \"recommended_recipes\": [\n \"synth -top e203_irq_sync\",\n \"opt; share; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean; clockgate\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"clock_gating\",\n \"description\": \"Insert clock gating for registers\",\n \"command\": \"clockgate\"\n },\n {\n \"type\": \"operand_isolation\",\n \"description\": \"Isolate operands when not in use\",\n \"command\": \"Use enable signals for arithmetic\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": 5.0,\n \"delay\": 5.0,\n \"power\": -25.0\n },\n \"trade_offs\": [\n \"Power optimization may add area overhead\",\n \"Clock gating adds timing complexity\"\n ],\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"e203_irq_sync\",\n \"port_count\": {\n \"inputs\": 6,\n \"outputs\": 4,\n \"inouts\": 0,\n \"total\": 10\n },\n \"signal_count\": {\n \"wires\": 0,\n \"regs\": 0,\n \"parameters\": 1,\n \"total\": 0\n },\n \"always_blocks\": 0,\n \"assign_statements\": 8,\n \"instantiations\": [\n \"generate\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 83,\n \"total_lines\": 112,\n \"cyclomatic_complexity\": 6,\n \"nesting_depth\": 2,\n \"operator_count\": 184\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "category": "multi_tool", "subcategory": "optimization_advisor+static_analyzer", "difficulty": "compositional", "question_hash": "b2fc21677bdf", "stage1_target": "[{\"tool\": \"optimization_advisor\", \"parameters\": {\"target_metric\": \"power\"}}, {\"tool\": \"static_analyzer\", \"parameters\": {\"analysis_type\": \"full\"}}]", "stage2_context": "Question: For e203_irq_sync, I'm considering a power-focused optimization flow that adds clock gating. Given what the module's structure looks like (its port count, whether it has any always blocks, and how it's built), how much power reduction is projected, what does it cost in area, and is clock gating likely to be worth it for this design?\n\n[optimization_advisor {\"target_metric\": \"power\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"power\",\n \"recommended_recipes\": [\n \"synth -top e203_irq_sync\",\n \"opt; share; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean; clockgate\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"clock_gating\",\n \"description\": \"Insert clock gating for registers\",\n \"command\": \"clockgate\"\n },\n {\n \"type\": \"operand_isolation\",\n \"description\": \"Isolate operands when not in use\",\n \"command\": \"Use enable signals for arithmetic\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": 5.0,\n \"delay\": 5.0,\n \"power\": -25.0\n },\n \"trade_offs\": [\n \"Power optimization may add area overhead\",\n \"Clock gating adds timing complexity\"\n ],\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"e203_irq_sync\",\n \"port_count\": {\n \"inputs\": 6,\n \"outputs\": 4,\n \"inouts\": 0,\n \"total\": 10\n },\n \"signal_count\": {\n \"wires\": 0,\n \"regs\": 0,\n \"parameters\": 1,\n \"total\": 0\n },\n \"always_blocks\": 0,\n \"assign_statements\": 8,\n \"instantiations\": [\n \"generate\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 83,\n \"total_lines\": 112,\n \"cyclomatic_complexity\": 6,\n \"nesting_depth\": 2,\n \"operator_count\": 184\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "plan_id": "d2884d0f1b1a", "design_id": "1b9045e4485c", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/riscv-mcu/e203_hbirdv2", "commit": "9f3e34f337f5d0a1236a285871ffa2032491617a", "path": "rtl/e203/core/e203_irq_sync.v", "sha256": "ddaa59031209a12134c4254f389872a23446258f23282356ae0d97f387ecc2f9"}} {"question": "For place_sort, does the RTL-to-netlist signal mapping agree with the register structure in the CDFG? Give the mapping alignment score and number of mapped signals, and say what kind of flip-flops the CDFG shows and how many there are.", "answer": "The mapping of place_sort is fully aligned: the alignment score is 100.0 and all 13 RTL signals map to 13 netlist wires with no unmapped elements, although RTL output1 maps to both output10 and output1. The CDFG agrees with this. Its 23 nodes and 40 edges include 10 sky130_fd_sc_hd__dfstp_1 set-capable flip-flops, one for each of the 10 output ports, and all of them share the clock and set_b inputs.", "source_file": "github_repos/The-OpenROAD-Project_OpenROAD/src/dft/test/place_sort_sky130.v", "module_name": "place_sort", "tool_name": "cross_stage_mapper+graph_extractor", "tool_parameters": [{}, {"graph_type": "CDFG"}], "tool_result": "[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"output9\": [\n \"output9\"\n ],\n \"output6\": [\n \"output6\"\n ],\n \"output3\": [\n \"output3\"\n ],\n \"output10\": [\n \"output10\"\n ],\n \"output5\": [\n \"output5\"\n ],\n \"output1\": [\n \"output10\",\n \"output1\"\n ],\n \"port1\": [\n \"port1\"\n ],\n \"clock\": [\n \"clock\"\n ],\n \"output7\": [\n \"output7\"\n ],\n \"output2\": [\n \"output2\"\n ],\n \"set_b\": [\n \"set_b\"\n ],\n \"output4\": [\n \"output4\"\n ],\n \"output8\": [\n \"output8\"\n ]\n },\n \"alignment_score\": 100.0,\n \"unmapped_elements\": [],\n \"mapping_statistics\": {\n \"rtl_signals\": 13,\n \"netlist_wires\": 13,\n \"netlist_cells\": 0,\n \"mapped_signals\": 13,\n \"unmapped_signals\": 0\n },\n \"error\": null\n}\n\n[graph_extractor {\"graph_type\": \"CDFG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"CDFG\",\n...[6391 chars elided]...\n \"node_count\": 23,\n \"edge_count\": 40,\n \"graph_properties\": {\n \"node_types\": {\n \"sky130_fd_sc_hd__dfstp_1\": 10,\n \"port_input\": 3,\n \"port_output\": 10\n },\n \"avg_degree\": 1.74,\n \"module_name\": \"place_sort\"\n },\n \"error\": null\n}", "category": "multi_tool", "subcategory": "cross_stage_mapper+graph_extractor", "difficulty": "compositional", "question_hash": "c9b2777af7f2", "stage1_target": "[{\"tool\": \"cross_stage_mapper\", \"parameters\": {}}, {\"tool\": \"graph_extractor\", \"parameters\": {\"graph_type\": \"CDFG\"}}]", "stage2_context": "Question: For place_sort, does the RTL-to-netlist signal mapping agree with the register structure in the CDFG? Give the mapping alignment score and number of mapped signals, and say what kind of flip-flops the CDFG shows and how many there are.\n\n[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"output9\": [\n \"output9\"\n ],\n \"output6\": [\n \"output6\"\n ],\n \"output3\": [\n \"output3\"\n ],\n \"output10\": [\n \"output10\"\n ],\n \"output5\": [\n \"output5\"\n ],\n \"output1\": [\n \"output10\",\n \"output1\"\n ],\n \"port1\": [\n \"port1\"\n ],\n \"clock\": [\n \"clock\"\n ],\n \"output7\": [\n \"output7\"\n ],\n \"output2\": [\n \"output2\"\n ],\n \"set_b\": [\n \"set_b\"\n ],\n \"output4\": [\n \"output4\"\n ],\n \"output8\": [\n \"output8\"\n ]\n },\n \"alignment_score\": 100.0,\n \"unmapped_elements\": [],\n \"mapping_statistics\": {\n \"rtl_signals\": 13,\n \"netlist_wires\": 13,\n \"netlist_cells\": 0,\n \"mapped_signals\": 13,\n \"unmapped_signals\": 0\n },\n \"error\": null\n}\n\n[graph_extractor {\"graph_type\": \"CDFG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"CDFG\",\n...[6391 chars elided]...\n \"node_count\": 23,\n \"edge_count\": 40,\n \"graph_properties\": {\n \"node_types\": {\n \"sky130_fd_sc_hd__dfstp_1\": 10,\n \"port_input\": 3,\n \"port_output\": 10\n },\n \"avg_degree\": 1.74,\n \"module_name\": \"place_sort\"\n },\n \"error\": null\n}", "plan_id": "c7ae75d758bd", "design_id": "1c48d550cadb", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/The-OpenROAD-Project/OpenROAD", "commit": "3e3e483a4e3f98e2b5470b272040699de6dedbee", "path": "src/dft/test/place_sort_sky130.v", "sha256": "e761e77c979d3a3c2672ddaf4da67ff5a9d4fc536d5778d603895903152c8bff"}} {"question": "In place_sort, the AIG shows the design is made entirely of set-capable flip-flops. If I apply the recommended power-targeted optimization, how well does clock gating suit this register-only structure, and what power gain and area cost should I expect?", "answer": "The AIG for place_sort has 23 nodes and 40 edges, and its only logic cells are 10 sky130_fd_sc_hd__dfstp_1 flip-flops, all clocked from one clock input. That makes the suggested 'clockgate' pass a good fit for this register-only design. For power, the estimated improvement is -25.0 for power, with 5.0 area overhead as the trade-off.", "source_file": "github_repos/The-OpenROAD-Project_OpenROAD/src/dft/test/place_sort_sky130.v", "module_name": "place_sort", "tool_name": "graph_extractor+optimization_advisor", "tool_parameters": [{"graph_type": "AIG"}, {"target_metric": "power"}], "tool_result": "[graph_extractor {\"graph_type\": \"AIG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"AIG\",\n...[6390 chars elided]...\n \"node_count\": 23,\n \"edge_count\": 40,\n \"graph_properties\": {\n \"node_types\": {\n \"sky130_fd_sc_hd__dfstp_1\": 10,\n \"port_input\": 3,\n \"port_output\": 10\n },\n \"avg_degree\": 1.74,\n \"module_name\": \"place_sort\"\n },\n \"error\": null\n}\n\n[optimization_advisor {\"target_metric\": \"power\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"power\",\n \"recommended_recipes\": [\n \"synth -top place_sort\",\n \"opt; share; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean; clockgate\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"clock_gating\",\n \"description\": \"Insert clock gating for registers\",\n \"command\": \"clockgate\"\n },\n {\n \"type\": \"operand_isolation\",\n \"description\": \"Isolate operands when not in use\",\n \"command\": \"Use enable signals for arithmetic\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": 5.0,\n \"delay\": 5.0,\n \"power\": -25.0\n },\n \"trade_offs\": [\n \"Power optimization may add area overhead\",\n \"Clock gating adds timing complexity\"\n ],\n \"error\": null\n}", "category": "multi_tool", "subcategory": "graph_extractor+optimization_advisor", "difficulty": "compositional", "question_hash": "d390f1177239", "stage1_target": "[{\"tool\": \"graph_extractor\", \"parameters\": {\"graph_type\": \"AIG\"}}, {\"tool\": \"optimization_advisor\", \"parameters\": {\"target_metric\": \"power\"}}]", "stage2_context": "Question: In place_sort, the AIG shows the design is made entirely of set-capable flip-flops. If I apply the recommended power-targeted optimization, how well does clock gating suit this register-only structure, and what power gain and area cost should I expect?\n\n[graph_extractor {\"graph_type\": \"AIG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"AIG\",\n...[6390 chars elided]...\n \"node_count\": 23,\n \"edge_count\": 40,\n \"graph_properties\": {\n \"node_types\": {\n \"sky130_fd_sc_hd__dfstp_1\": 10,\n \"port_input\": 3,\n \"port_output\": 10\n },\n \"avg_degree\": 1.74,\n \"module_name\": \"place_sort\"\n },\n \"error\": null\n}\n\n[optimization_advisor {\"target_metric\": \"power\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"power\",\n \"recommended_recipes\": [\n \"synth -top place_sort\",\n \"opt; share; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean; clockgate\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"clock_gating\",\n \"description\": \"Insert clock gating for registers\",\n \"command\": \"clockgate\"\n },\n {\n \"type\": \"operand_isolation\",\n \"description\": \"Isolate operands when not in use\",\n \"command\": \"Use enable signals for arithmetic\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": 5.0,\n \"delay\": 5.0,\n \"power\": -25.0\n },\n \"trade_offs\": [\n \"Power optimization may add area overhead\",\n \"Clock gating adds timing complexity\"\n ],\n \"error\": null\n}", "plan_id": "1f17dea2aa0b", "design_id": "1c48d550cadb", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/The-OpenROAD-Project/OpenROAD", "commit": "3e3e483a4e3f98e2b5470b272040699de6dedbee", "path": "src/dft/test/place_sort_sky130.v", "sha256": "e761e77c979d3a3c2672ddaf4da67ff5a9d4fc536d5778d603895903152c8bff"}} {"question": "For nv_ram_rws_256x3, how does the cell makeup in the CDFG compare with the medium-effort synthesis result, and what do the synthesized area, delay and power suggest about how much real logic this wrapper holds?", "answer": "The CDFG has 83 nodes and 237 edges. Its 33 AN2D4PO4 gates, 33 NV_BLKBOX_SRC0_X sources, 5 NV_BLKBOX_SINK cells, 3 NV_BLKBOX_SRC0 cells and the single nv_ram_rws_256x3_logic instance all show up unchanged in the synthesized gate count of 75. With only 75.0 area and 0.075 power, plus a critical path estimate of 182.59, the wrapper looks like little more than DFT/test-qualifier gating and black-box stubs around one RAM logic instance.", "source_file": "github_repos/nvdla_hw/vmod/rams/synth/nv_ram_rws_256x3.v", "module_name": "nv_ram_rws_256x3", "tool_name": "graph_extractor+synthesis_tool", "tool_parameters": [{"graph_type": "CDFG"}, {"optimization_level": "medium"}], "tool_result": "[graph_extractor {\"graph_type\": \"CDFG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"CDFG\",\n...[39602 chars elided]...\n \"node_count\": 83,\n \"edge_count\": 237,\n \"graph_properties\": {\n \"node_types\": {\n \"NV_BLKBOX_SRC0\": 3,\n \"AN2D4PO4\": 33,\n \"nv_ram_rws_256x3_logic\": 1,\n \"NV_BLKBOX_SRC0_X\": 33,\n \"NV_BLKBOX_SINK\": 5,\n \"port_input\": 7,\n \"port_output\": 1\n },\n \"avg_degree\": 2.86,\n \"module_name\": \"nv_ram_rws_256x3\"\n },\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 75.0,\n \"delay\": 182.59,\n \"power\": 0.075,\n \"gate_count\": 75,\n \"cell_breakdown\": {\n \"AN2D4PO4\": 33,\n \"NV_BLKBOX_SINK\": 5,\n \"NV_BLKBOX_SRC0\": 3,\n \"NV_BLKBOX_SRC0_X\": 33,\n \"nv_ram_rws_256x3_logic\": 1\n },\n \"wire_count\": 63,\n \"wire_bits\": 131,\n \"critical_path_estimate\": 182.59,\n...[1206 chars elided]...\n \"error\": null\n}", "category": "multi_tool", "subcategory": "graph_extractor+synthesis_tool", "difficulty": "compositional", "question_hash": "e2124f04a651", "stage1_target": "[{\"tool\": \"graph_extractor\", \"parameters\": {\"graph_type\": \"CDFG\"}}, {\"tool\": \"synthesis_tool\", \"parameters\": {\"optimization_level\": \"medium\"}}]", "stage2_context": "Question: For nv_ram_rws_256x3, how does the cell makeup in the CDFG compare with the medium-effort synthesis result, and what do the synthesized area, delay and power suggest about how much real logic this wrapper holds?\n\n[graph_extractor {\"graph_type\": \"CDFG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"CDFG\",\n...[39602 chars elided]...\n \"node_count\": 83,\n \"edge_count\": 237,\n \"graph_properties\": {\n \"node_types\": {\n \"NV_BLKBOX_SRC0\": 3,\n \"AN2D4PO4\": 33,\n \"nv_ram_rws_256x3_logic\": 1,\n \"NV_BLKBOX_SRC0_X\": 33,\n \"NV_BLKBOX_SINK\": 5,\n \"port_input\": 7,\n \"port_output\": 1\n },\n \"avg_degree\": 2.86,\n \"module_name\": \"nv_ram_rws_256x3\"\n },\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 75.0,\n \"delay\": 182.59,\n \"power\": 0.075,\n \"gate_count\": 75,\n \"cell_breakdown\": {\n \"AN2D4PO4\": 33,\n \"NV_BLKBOX_SINK\": 5,\n \"NV_BLKBOX_SRC0\": 3,\n \"NV_BLKBOX_SRC0_X\": 33,\n \"nv_ram_rws_256x3_logic\": 1\n },\n \"wire_count\": 63,\n \"wire_bits\": 131,\n \"critical_path_estimate\": 182.59,\n...[1206 chars elided]...\n \"error\": null\n}", "plan_id": "9b2d1a989f35", "design_id": "1e0cdc1e929a", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/nvdla/hw", "commit": "8e06b1b9d85aab65b40d43d08eec5ea4681ff715", "path": "vmod/rams/synth/nv_ram_rws_256x3.v", "sha256": "4bec2b85bd72335a62239f5227cb99a112b86bf5d4938a879058206fb4429e94"}} {"question": "For servant_pf_clock_gen, the medium-effort synthesis result is just a PLL, a CLKINT clock buffer and two constant cells. Given that, is it worth applying the delay-targeted optimization recipe, which suggests pipelining and logic duplication, and what does it trade off?", "answer": "Probably not. Synthesis maps servant_pf_clock_gen to only 4 cells (1 PLL, 1 CLKINT, 1 GND, 1 VCC) with an area of 4.0 and a critical-path estimate of 75.79, so there is no arithmetic logic to pipeline and essentially no fanout to split. The delay-targeted recipe (e.g., 'abc -fast' with 'splitnets -driver') promises a delay change of -20.0, but it costs area (+10.0) and power (+5.0), which is hard to justify when the path is dominated by the PLL primitive and not by logic.", "source_file": "github_repos/olofk_serv/servant/servant_pf_clock_gen.v", "module_name": "servant_pf_clock_gen", "tool_name": "optimization_advisor+synthesis_tool", "tool_parameters": [{"target_metric": "delay"}, {"optimization_level": "medium"}], "tool_result": "[optimization_advisor {\"target_metric\": \"delay\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"delay\",\n \"recommended_recipes\": [\n \"synth -top servant_pf_clock_gen\",\n \"opt -fast\",\n \"abc -fast -liberty stdcells.lib\",\n \"opt_clean\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"pipeline_insertion\",\n \"description\": \"Consider pipelining arithmetic operations\",\n \"command\": \"Use register retiming\"\n },\n {\n \"type\": \"logic_duplication\",\n \"description\": \"Duplicate logic to reduce fanout\",\n \"command\": \"splitnets -driver\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": 10.0,\n \"delay\": -20.0,\n \"power\": 5.0\n },\n \"trade_offs\": [\n \"Speed optimization increases area\",\n \"Higher power consumption\"\n ],\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 4.0,\n \"delay\": 75.79,\n \"power\": 0.004,\n \"gate_count\": 4,\n \"cell_breakdown\": {\n \"CLKINT\": 1,\n \"GND\": 1,\n \"PLL\": 1,\n \"VCC\": 1\n },\n \"wire_count\": 47,\n \"wire_bits\": 47,\n \"critical_path_estimate\": 75.79,\n...[1128 chars elided]...\n \"error\": null\n}", "category": "multi_tool", "subcategory": "optimization_advisor+synthesis_tool", "difficulty": "compositional", "question_hash": "4a3fc8276163", "stage1_target": "[{\"tool\": \"optimization_advisor\", \"parameters\": {\"target_metric\": \"delay\"}}, {\"tool\": \"synthesis_tool\", \"parameters\": {\"optimization_level\": \"medium\"}}]", "stage2_context": "Question: For servant_pf_clock_gen, the medium-effort synthesis result is just a PLL, a CLKINT clock buffer and two constant cells. Given that, is it worth applying the delay-targeted optimization recipe, which suggests pipelining and logic duplication, and what does it trade off?\n\n[optimization_advisor {\"target_metric\": \"delay\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"delay\",\n \"recommended_recipes\": [\n \"synth -top servant_pf_clock_gen\",\n \"opt -fast\",\n \"abc -fast -liberty stdcells.lib\",\n \"opt_clean\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"pipeline_insertion\",\n \"description\": \"Consider pipelining arithmetic operations\",\n \"command\": \"Use register retiming\"\n },\n {\n \"type\": \"logic_duplication\",\n \"description\": \"Duplicate logic to reduce fanout\",\n \"command\": \"splitnets -driver\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": 10.0,\n \"delay\": -20.0,\n \"power\": 5.0\n },\n \"trade_offs\": [\n \"Speed optimization increases area\",\n \"Higher power consumption\"\n ],\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 4.0,\n \"delay\": 75.79,\n \"power\": 0.004,\n \"gate_count\": 4,\n \"cell_breakdown\": {\n \"CLKINT\": 1,\n \"GND\": 1,\n \"PLL\": 1,\n \"VCC\": 1\n },\n \"wire_count\": 47,\n \"wire_bits\": 47,\n \"critical_path_estimate\": 75.79,\n...[1128 chars elided]...\n \"error\": null\n}", "plan_id": "14cba0395cf3", "design_id": "1f29cd237b12", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/olofk/serv", "commit": "f200eb2ed7b69ac1c6b8eddd47654522aeee5ce8", "path": "servant/servant_pf_clock_gen.v", "sha256": "7964acf1d07122c85bdf7ff495a654f1a03b67410a5f528ffed20ca0a928e6f6"}} {"question": "For the dual_spm module, the source shows no always blocks and only a submodule instantiation. Does that structural picture match what a medium-effort synthesis run reports for cell count, area and delay, and what does it say about where the logic actually lives?", "answer": "Yes. The structural analysis finds 0 always blocks, 0 assign statements and a cyclomatic complexity of 1, with only the spm submodule instantiated. Synthesis agrees: it reports a gate_count of 2, both cells of type spm, an area of 2.0 and a delay of 61.56. So dual_spm is just a wrapper around two spm instances, and all of its real logic and timing come from inside spm.", "source_file": "github_repos/The-OpenROAD-Project_OpenROAD/src/gpl/test/region01-dual_spm.v", "module_name": "dual_spm", "tool_name": "static_analyzer+synthesis_tool", "tool_parameters": [{"analysis_type": "full"}, {"optimization_level": "medium"}], "tool_result": "[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"dual_spm\",\n \"port_count\": {\n \"inputs\": 4,\n \"outputs\": 1,\n \"inouts\": 0,\n \"total\": 5\n },\n \"signal_count\": {\n \"wires\": 1,\n \"regs\": 0,\n \"parameters\": 0,\n \"total\": 1\n },\n \"always_blocks\": 0,\n \"assign_statements\": 0,\n \"instantiations\": [\n \"spm\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 84,\n \"total_lines\": 87,\n \"cyclomatic_complexity\": 1,\n \"nesting_depth\": 0,\n \"operator_count\": 0\n },\n \"lint_warnings\": [],\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 2.0,\n \"delay\": 61.56,\n \"power\": 0.002,\n \"gate_count\": 2,\n \"cell_breakdown\": {\n \"spm\": 2\n },\n \"wire_count\": 6,\n \"wire_bits\": 37,\n \"critical_path_estimate\": 61.56,\n...[1070 chars elided]...\n \"error\": null\n}", "category": "multi_tool", "subcategory": "static_analyzer+synthesis_tool", "difficulty": "compositional", "question_hash": "683a6590e3a2", "stage1_target": "[{\"tool\": \"static_analyzer\", \"parameters\": {\"analysis_type\": \"full\"}}, {\"tool\": \"synthesis_tool\", \"parameters\": {\"optimization_level\": \"medium\"}}]", "stage2_context": "Question: For the dual_spm module, the source shows no always blocks and only a submodule instantiation. Does that structural picture match what a medium-effort synthesis run reports for cell count, area and delay, and what does it say about where the logic actually lives?\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"dual_spm\",\n \"port_count\": {\n \"inputs\": 4,\n \"outputs\": 1,\n \"inouts\": 0,\n \"total\": 5\n },\n \"signal_count\": {\n \"wires\": 1,\n \"regs\": 0,\n \"parameters\": 0,\n \"total\": 1\n },\n \"always_blocks\": 0,\n \"assign_statements\": 0,\n \"instantiations\": [\n \"spm\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 84,\n \"total_lines\": 87,\n \"cyclomatic_complexity\": 1,\n \"nesting_depth\": 0,\n \"operator_count\": 0\n },\n \"lint_warnings\": [],\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 2.0,\n \"delay\": 61.56,\n \"power\": 0.002,\n \"gate_count\": 2,\n \"cell_breakdown\": {\n \"spm\": 2\n },\n \"wire_count\": 6,\n \"wire_bits\": 37,\n \"critical_path_estimate\": 61.56,\n...[1070 chars elided]...\n \"error\": null\n}", "plan_id": "afa83d918bdb", "design_id": "20ac38b08f22", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/The-OpenROAD-Project/OpenROAD", "commit": "3e3e483a4e3f98e2b5470b272040699de6dedbee", "path": "src/gpl/test/region01-dual_spm.v", "sha256": "b01849cd5361cce48a5f9fd0d63b99c9b472b652013fe546fe2e4fa239990985"}} {"question": "For serv_alu, how does the operator mix in the CDFG compare with the gate-level result after medium-effort synthesis? Specifically, how do the 4 high-level adders and 2 registers in the CDFG show up in the synthesized cell counts, area, and critical-path delay?", "answer": "The CDFG for serv_alu has 41 nodes, including 4 $add, 10 $and and 2 $xor operators plus one $dff and one $dffe. After medium-effort synthesis these became 31 cells, with the registers preserved as 1 $_DFF_P_ and 1 $_DFFE_PP_ and the adder logic mapped mostly onto 11 $_NAND_ and 4 $_XOR_ gates. The synthesized design has an area of 43.5 and a critical-path delay of 160.87.", "source_file": "github_repos/olofk_serv/rtl/serv_alu.v", "module_name": "serv_alu", "tool_name": "graph_extractor+synthesis_tool", "tool_parameters": [{"graph_type": "CDFG"}, {"optimization_level": "medium"}], "tool_result": "[graph_extractor {\"graph_type\": \"CDFG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"CDFG\",\n...[21162 chars elided]...\n \"node_count\": 41,\n \"edge_count\": 87,\n \"graph_properties\": {\n \"node_types\": {\n \"$and\": 10,\n \"$xor\": 2,\n \"$add\": 4,\n \"$not\": 2,\n \"$logic_not\": 1,\n \"$or\": 5,\n \"$mux\": 2,\n \"$dffe\": 1,\n \"$dff\": 1,\n \"port_input\": 11,\n \"port_output\": 2\n },\n \"avg_degree\": 2.12,\n \"module_name\": \"serv_alu\"\n },\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 43.5,\n \"delay\": 160.87,\n \"power\": 0.031,\n \"gate_count\": 31,\n \"cell_breakdown\": {\n \"$_ANDNOT_\": 1,\n \"$_AND_\": 6,\n \"$_DFFE_PP_\": 1,\n \"$_DFF_P_\": 1,\n \"$_NAND_\": 11,\n \"$_NOR_\": 1,\n \"$_NOT_\": 1,\n \"$_ORNOT_\": 1,\n \"$_OR_\": 3,\n \"$_XNOR_\": 1,\n \"$_XOR_\": 4\n },\n \"wire_count\": 42,\n \"wire_bits\": 46,\n \"critical_path_estimate\": 160.87,\n...[1304 chars elided]...\n \"error\": null\n}", "category": "multi_tool", "subcategory": "graph_extractor+synthesis_tool", "difficulty": "compositional", "question_hash": "0721d195b141", "stage1_target": "[{\"tool\": \"graph_extractor\", \"parameters\": {\"graph_type\": \"CDFG\"}}, {\"tool\": \"synthesis_tool\", \"parameters\": {\"optimization_level\": \"medium\"}}]", "stage2_context": "Question: For serv_alu, how does the operator mix in the CDFG compare with the gate-level result after medium-effort synthesis? Specifically, how do the 4 high-level adders and 2 registers in the CDFG show up in the synthesized cell counts, area, and critical-path delay?\n\n[graph_extractor {\"graph_type\": \"CDFG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"CDFG\",\n...[21162 chars elided]...\n \"node_count\": 41,\n \"edge_count\": 87,\n \"graph_properties\": {\n \"node_types\": {\n \"$and\": 10,\n \"$xor\": 2,\n \"$add\": 4,\n \"$not\": 2,\n \"$logic_not\": 1,\n \"$or\": 5,\n \"$mux\": 2,\n \"$dffe\": 1,\n \"$dff\": 1,\n \"port_input\": 11,\n \"port_output\": 2\n },\n \"avg_degree\": 2.12,\n \"module_name\": \"serv_alu\"\n },\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 43.5,\n \"delay\": 160.87,\n \"power\": 0.031,\n \"gate_count\": 31,\n \"cell_breakdown\": {\n \"$_ANDNOT_\": 1,\n \"$_AND_\": 6,\n \"$_DFFE_PP_\": 1,\n \"$_DFF_P_\": 1,\n \"$_NAND_\": 11,\n \"$_NOR_\": 1,\n \"$_NOT_\": 1,\n \"$_ORNOT_\": 1,\n \"$_OR_\": 3,\n \"$_XNOR_\": 1,\n \"$_XOR_\": 4\n },\n \"wire_count\": 42,\n \"wire_bits\": 46,\n \"critical_path_estimate\": 160.87,\n...[1304 chars elided]...\n \"error\": null\n}", "plan_id": "2b811142da90", "design_id": "229f4a1d2e44", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/olofk/serv", "commit": "f200eb2ed7b69ac1c6b8eddd47654522aeee5ce8", "path": "rtl/serv_alu.v", "sha256": "2e0c31b5b992618e514083aacf10cb38c2229b68b3b1e93d6663104f32143332"}} {"question": "For RAMDP_80X14_GL_M2_E2, how well do the RTL signals carry over into the netlist, and does the design's code structure explain why so many of them are missing?", "answer": "Only 28 of the 69 RTL signals map onto the netlist, so 41 are unmapped and the alignment score is 40.58. The unmapped ones are mostly simulation and verification items such as monitor_on, check_x and the out-of-range address assertions, plus latch and flop staging signals like we_lat and wd_ff. That fits a large behavioral model of 832 lines of code with 23 always blocks, cyclomatic complexity 76 and nesting depth 101, which instantiates RAM_BANK_RAMDP_80X14_GL_M2_E2.", "source_file": "github_repos/nvdla_hw/vmod/rams/model/RAMDP_80X14_GL_M2_E2.v", "module_name": "RAMDP_80X14_GL_M2_E2", "tool_name": "cross_stage_mapper+static_analyzer", "tool_parameters": [{}, {"analysis_type": "full"}], "tool_result": "[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"weclk\": [\n \"weclk_d1\",\n \"weclk_d2\",\n \"weclk\",\n \"weclk_d0\"\n ],\n \"check_x\": [],\n \"ret_en_r_1p\": [],\n \"RA\": [\n \"RADR_2\",\n \"RADR_3\",\n \"RA\",\n \"RADR_6\",\n \"RADR_1\"\n ],\n \"RE\": [\n \"RE\",\n \"RET_EN\"\n ],\n \"WD\": [\n \"WD_11\",\n \"WD_12\",\n \"WD_13\",\n \"WD_6\",\n \"WD_3\"\n ],\n \"clobber_x\": [\n...[2539 chars elided]...\n [],\n \"we_ff\": [],\n \"addr\": [\n \"r0_addr\",\n \"w0_addr\"\n ],\n \"wa_ff\": [],\n \"clamp_o\": [\n \"clamp_o\"\n ],\n \"disable_power_assertion_S2P1\": []\n },\n \"alignment_score\": 40.58,\n \"unmapped_elements\": [\n \"check_x\",\n \"ret_en_r_1p\",\n \"ret_en_w_1p\",\n \"sleep_en_off_r_1p\",\n \"illegal_logic_assertion_wadr_out_of_range\",\n \"weclk_gating\",\n \"disable_logic_assertion_wadr_out_of_range\",\n \"ra_ff\",\n \"rst_clk\",\n \"we_lat\",\n \"reclk_gating_1p\",\n \"dump_monitor_result\",\n \"output_valid\",\n \"data\",\n \"illegal_logic_assertion_radr_out_of_range\",\n \"disable_power_assertion_S1P1\",\n \"re_lat\",\n \"wd_ff\",\n \"wd_lat\",\n \"monitor_on\"\n ],\n \"mapping_statistics\": {\n \"rtl_signals\": 69,\n \"netlist_wires\": 10648,\n \"netlist_cells\": 0,\n \"mapped_signals\": 28,\n \"unmapped_signals\": 41\n },\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"RAMDP_80X14_GL_M2_E2\",\n \"port_count\": {\n \"inputs\": 39,\n \"outputs\": 2,\n \"inouts\": 0,\n \"total\": 41\n },\n \"signal_count\": {\n \"wires\": 38,\n \"regs\": 28,\n \"parameters\": 6,\n \"total\": 66\n },\n \"always_blocks\": 23,\n \"assign_statements\": 31,\n \"instantiations\": [\n \"endcase\",\n \"generate\",\n \"off\",\n \"RAM_BANK_RAMDP_80X14_GL_M2_E2\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 832,\n \"total_lines\": 1058,\n \"cyclomatic_complexity\": 76,\n \"nesting_depth\": 101,\n \"operator_count\": 1876\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "category": "multi_tool", "subcategory": "cross_stage_mapper+static_analyzer", "difficulty": "compositional", "question_hash": "48d10610a84c", "stage1_target": "[{\"tool\": \"cross_stage_mapper\", \"parameters\": {}}, {\"tool\": \"static_analyzer\", \"parameters\": {\"analysis_type\": \"full\"}}]", "stage2_context": "Question: For RAMDP_80X14_GL_M2_E2, how well do the RTL signals carry over into the netlist, and does the design's code structure explain why so many of them are missing?\n\n[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"weclk\": [\n \"weclk_d1\",\n \"weclk_d2\",\n \"weclk\",\n \"weclk_d0\"\n ],\n \"check_x\": [],\n \"ret_en_r_1p\": [],\n \"RA\": [\n \"RADR_2\",\n \"RADR_3\",\n \"RA\",\n \"RADR_6\",\n \"RADR_1\"\n ],\n \"RE\": [\n \"RE\",\n \"RET_EN\"\n ],\n \"WD\": [\n \"WD_11\",\n \"WD_12\",\n \"WD_13\",\n \"WD_6\",\n \"WD_3\"\n ],\n \"clobber_x\": [\n...[2539 chars elided]...\n [],\n \"we_ff\": [],\n \"addr\": [\n \"r0_addr\",\n \"w0_addr\"\n ],\n \"wa_ff\": [],\n \"clamp_o\": [\n \"clamp_o\"\n ],\n \"disable_power_assertion_S2P1\": []\n },\n \"alignment_score\": 40.58,\n \"unmapped_elements\": [\n \"check_x\",\n \"ret_en_r_1p\",\n \"ret_en_w_1p\",\n \"sleep_en_off_r_1p\",\n \"illegal_logic_assertion_wadr_out_of_range\",\n \"weclk_gating\",\n \"disable_logic_assertion_wadr_out_of_range\",\n \"ra_ff\",\n \"rst_clk\",\n \"we_lat\",\n \"reclk_gating_1p\",\n \"dump_monitor_result\",\n \"output_valid\",\n \"data\",\n \"illegal_logic_assertion_radr_out_of_range\",\n \"disable_power_assertion_S1P1\",\n \"re_lat\",\n \"wd_ff\",\n \"wd_lat\",\n \"monitor_on\"\n ],\n \"mapping_statistics\": {\n \"rtl_signals\": 69,\n \"netlist_wires\": 10648,\n \"netlist_cells\": 0,\n \"mapped_signals\": 28,\n \"unmapped_signals\": 41\n },\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"RAMDP_80X14_GL_M2_E2\",\n \"port_count\": {\n \"inputs\": 39,\n \"outputs\": 2,\n \"inouts\": 0,\n \"total\": 41\n },\n \"signal_count\": {\n \"wires\": 38,\n \"regs\": 28,\n \"parameters\": 6,\n \"total\": 66\n },\n \"always_blocks\": 23,\n \"assign_statements\": 31,\n \"instantiations\": [\n \"endcase\",\n \"generate\",\n \"off\",\n \"RAM_BANK_RAMDP_80X14_GL_M2_E2\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 832,\n \"total_lines\": 1058,\n \"cyclomatic_complexity\": 76,\n \"nesting_depth\": 101,\n \"operator_count\": 1876\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "plan_id": "0ca457b9b8eb", "design_id": "22bc60f03a67", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/nvdla/hw", "commit": "8e06b1b9d85aab65b40d43d08eec5ea4681ff715", "path": "vmod/rams/model/RAMDP_80X14_GL_M2_E2.v", "sha256": "fc085d0ea5c398f371fbb16c99982b85a7c2a9f9d9db1d4d20dc098390801b36"}} {"question": "For NV_NVDLA_core_reset, is it worth running the area-targeted optimization flow with aggressive operator sharing, given how small and simple the module is structurally?", "answer": "The area-targeted flow estimates a -15.0 area change, but it costs +5.0 delay, and its main suggestion is \"share -aggressive\" for arithmetic operators. That suggestion doesn't fit well here: NV_NVDLA_core_reset has only 6 ports, 1 reg, 1 always block, a cyclomatic complexity of 4 and a single sync_reset instantiation, so it is mostly reset synchronization with little real arithmetic to share. Expect only a small real gain, while the delay cost and the added routing complexity on reset paths still apply.", "source_file": "github_repos/nvdla_hw/vmod/nvdla/car/NV_NVDLA_core_reset.v", "module_name": "NV_NVDLA_core_reset", "tool_name": "optimization_advisor+static_analyzer", "tool_parameters": [{"target_metric": "area"}, {"analysis_type": "full"}], "tool_result": "[optimization_advisor {\"target_metric\": \"area\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"area\",\n \"recommended_recipes\": [\n \"synth -top NV_NVDLA_core_reset -flatten\",\n \"opt -full; share -aggressive; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean -purge\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"resource_sharing\",\n \"description\": \"Share arithmetic operators\",\n \"command\": \"share -aggressive\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": -15.0,\n \"delay\": 5.0,\n \"power\": -10.0\n },\n \"trade_offs\": [\n \"Area optimization may increase delay\",\n \"Aggressive sharing increases routing complexity\"\n ],\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"NV_NVDLA_core_reset\",\n \"port_count\": {\n \"inputs\": 5,\n \"outputs\": 1,\n \"inouts\": 0,\n \"total\": 6\n },\n \"signal_count\": {\n \"wires\": 2,\n \"regs\": 1,\n \"parameters\": 0,\n \"total\": 3\n },\n \"always_blocks\": 1,\n \"assign_statements\": 1,\n \"instantiations\": [\n \"sync_reset\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 46,\n \"total_lines\": 94,\n \"cyclomatic_complexity\": 4,\n \"nesting_depth\": 3,\n \"operator_count\": 297\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "category": "multi_tool", "subcategory": "optimization_advisor+static_analyzer", "difficulty": "compositional", "question_hash": "1602190a923c", "stage1_target": "[{\"tool\": \"optimization_advisor\", \"parameters\": {\"target_metric\": \"area\"}}, {\"tool\": \"static_analyzer\", \"parameters\": {\"analysis_type\": \"full\"}}]", "stage2_context": "Question: For NV_NVDLA_core_reset, is it worth running the area-targeted optimization flow with aggressive operator sharing, given how small and simple the module is structurally?\n\n[optimization_advisor {\"target_metric\": \"area\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"area\",\n \"recommended_recipes\": [\n \"synth -top NV_NVDLA_core_reset -flatten\",\n \"opt -full; share -aggressive; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean -purge\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"resource_sharing\",\n \"description\": \"Share arithmetic operators\",\n \"command\": \"share -aggressive\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": -15.0,\n \"delay\": 5.0,\n \"power\": -10.0\n },\n \"trade_offs\": [\n \"Area optimization may increase delay\",\n \"Aggressive sharing increases routing complexity\"\n ],\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"NV_NVDLA_core_reset\",\n \"port_count\": {\n \"inputs\": 5,\n \"outputs\": 1,\n \"inouts\": 0,\n \"total\": 6\n },\n \"signal_count\": {\n \"wires\": 2,\n \"regs\": 1,\n \"parameters\": 0,\n \"total\": 3\n },\n \"always_blocks\": 1,\n \"assign_statements\": 1,\n \"instantiations\": [\n \"sync_reset\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 46,\n \"total_lines\": 94,\n \"cyclomatic_complexity\": 4,\n \"nesting_depth\": 3,\n \"operator_count\": 297\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "plan_id": "7db8ad9beadb", "design_id": "23b91e48c178", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/nvdla/hw", "commit": "8e06b1b9d85aab65b40d43d08eec5ea4681ff715", "path": "vmod/nvdla/car/NV_NVDLA_core_reset.v", "sha256": "c08c3a1612e9e82de0674a4be7f1542f46e208d62e2c9d6eff78dbc30c7ce1e3"}} {"question": "For e203_subsys_gfcm, I'm thinking about running an area-focused optimization flow with aggressive operator sharing. How does the estimated area and delay impact compare with the module's actual structure, i.e. its port and wire counts, instantiated submodules and complexity, and is aggressive sharing likely to be worth it here?", "answer": "The area-targeted flow estimates a -15.0 area change with a 5.0 delay penalty using 'share -aggressive'. However, e203_subsys_gfcm is a small glitch-free clock mux: 7 total ports, 8 wires, 0 regs, a cyclomatic complexity of 6, and just three instantiations (clk0_sync_PROC, e203_clkgate, clk1_sync_PROC). It has few or no shared arithmetic operators, so the real benefit of aggressive sharing is probably small, and any added delay or routing complexity on a clock-switching path deserves careful review.", "source_file": "github_repos/riscv-mcu_e203_hbirdv2/rtl/e203/subsys/e203_subsys_gfcm.v", "module_name": "e203_subsys_gfcm", "tool_name": "optimization_advisor+static_analyzer", "tool_parameters": [{"target_metric": "area"}, {"analysis_type": "full"}], "tool_result": "[optimization_advisor {\"target_metric\": \"area\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"area\",\n \"recommended_recipes\": [\n \"synth -top e203_subsys_gfcm -flatten\",\n \"opt -full; share -aggressive; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean -purge\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"resource_sharing\",\n \"description\": \"Share arithmetic operators\",\n \"command\": \"share -aggressive\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": -15.0,\n \"delay\": 5.0,\n \"power\": -10.0\n },\n \"trade_offs\": [\n \"Area optimization may increase delay\",\n \"Aggressive sharing increases routing complexity\"\n ],\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"e203_subsys_gfcm\",\n \"port_count\": {\n \"inputs\": 6,\n \"outputs\": 1,\n \"inouts\": 0,\n \"total\": 7\n },\n \"signal_count\": {\n \"wires\": 8,\n \"regs\": 0,\n \"parameters\": 1,\n \"total\": 8\n },\n \"always_blocks\": 2,\n \"assign_statements\": 3,\n \"instantiations\": [\n \"clk0_sync_PROC\",\n \"e203_clkgate\",\n \"clk1_sync_PROC\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 71,\n \"total_lines\": 110,\n \"cyclomatic_complexity\": 6,\n \"nesting_depth\": 6,\n \"operator_count\": 199\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "category": "multi_tool", "subcategory": "optimization_advisor+static_analyzer", "difficulty": "compositional", "question_hash": "bdfab3cd3038", "stage1_target": "[{\"tool\": \"optimization_advisor\", \"parameters\": {\"target_metric\": \"area\"}}, {\"tool\": \"static_analyzer\", \"parameters\": {\"analysis_type\": \"full\"}}]", "stage2_context": "Question: For e203_subsys_gfcm, I'm thinking about running an area-focused optimization flow with aggressive operator sharing. How does the estimated area and delay impact compare with the module's actual structure, i.e. its port and wire counts, instantiated submodules and complexity, and is aggressive sharing likely to be worth it here?\n\n[optimization_advisor {\"target_metric\": \"area\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"area\",\n \"recommended_recipes\": [\n \"synth -top e203_subsys_gfcm -flatten\",\n \"opt -full; share -aggressive; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean -purge\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"resource_sharing\",\n \"description\": \"Share arithmetic operators\",\n \"command\": \"share -aggressive\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": -15.0,\n \"delay\": 5.0,\n \"power\": -10.0\n },\n \"trade_offs\": [\n \"Area optimization may increase delay\",\n \"Aggressive sharing increases routing complexity\"\n ],\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"e203_subsys_gfcm\",\n \"port_count\": {\n \"inputs\": 6,\n \"outputs\": 1,\n \"inouts\": 0,\n \"total\": 7\n },\n \"signal_count\": {\n \"wires\": 8,\n \"regs\": 0,\n \"parameters\": 1,\n \"total\": 8\n },\n \"always_blocks\": 2,\n \"assign_statements\": 3,\n \"instantiations\": [\n \"clk0_sync_PROC\",\n \"e203_clkgate\",\n \"clk1_sync_PROC\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 71,\n \"total_lines\": 110,\n \"cyclomatic_complexity\": 6,\n \"nesting_depth\": 6,\n \"operator_count\": 199\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "plan_id": "fb518675b94f", "design_id": "26b855f4d557", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/riscv-mcu/e203_hbirdv2", "commit": "9f3e34f337f5d0a1236a285871ffa2032491617a", "path": "rtl/e203/subsys/e203_subsys_gfcm.v", "sha256": "4ab432eabba1f038cdb52c6b42f2d62f5e17e0f17e4f7f3d8fb60c85f209c865"}} {"question": "For serv_mem_if, how does the code structure compare with the gate-level result after synthesis at medium optimization? Specifically, does the one always block line up with the sequential cells in the netlist, and how big is the combinational logic compared with the module's size in the source?", "answer": "serv_mem_if has 1 always block and 1 reg, and the synthesized netlist has exactly 1 $_DFFE_PP_ flip-flop, so the two match. The rest of its 20 gates are simple combinational logic (6 $_NOR_ and 5 $_OR_ cells among them), with an area of 26.0 and a critical path of 132.65. That is consistent with a small module of 47 lines of code, 6 assign statements and a cyclomatic complexity of 2.", "source_file": "github_repos/olofk_serv/rtl/serv_mem_if.v", "module_name": "serv_mem_if", "tool_name": "static_analyzer+synthesis_tool", "tool_parameters": [{"analysis_type": "full"}, {"optimization_level": "medium"}], "tool_result": "[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"serv_mem_if\",\n \"port_count\": {\n \"inputs\": 8,\n \"outputs\": 3,\n \"inouts\": 0,\n \"total\": 11\n },\n \"signal_count\": {\n \"wires\": 10,\n \"regs\": 1,\n \"parameters\": 2,\n \"total\": 11\n },\n \"always_blocks\": 1,\n \"assign_statements\": 6,\n \"instantiations\": [],\n \"code_complexity\": {\n \"lines_of_code\": 47,\n \"total_lines\": 60,\n \"cyclomatic_complexity\": 2,\n \"nesting_depth\": 1,\n \"operator_count\": 68\n },\n \"lint_warnings\": [],\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 26.0,\n \"delay\": 132.65,\n \"power\": 0.02,\n \"gate_count\": 20,\n \"cell_breakdown\": {\n \"$_ANDNOT_\": 3,\n \"$_AND_\": 3,\n \"$_DFFE_PP_\": 1,\n \"$_NAND_\": 1,\n \"$_NOR_\": 6,\n \"$_ORNOT_\": 1,\n \"$_OR_\": 5\n },\n \"wire_count\": 25,\n \"wire_bits\": 30,\n \"critical_path_estimate\": 132.65,\n...[1213 chars elided]...\n \"error\": null\n}", "category": "multi_tool", "subcategory": "static_analyzer+synthesis_tool", "difficulty": "compositional", "question_hash": "0e3c3cd4e37e", "stage1_target": "[{\"tool\": \"static_analyzer\", \"parameters\": {\"analysis_type\": \"full\"}}, {\"tool\": \"synthesis_tool\", \"parameters\": {\"optimization_level\": \"medium\"}}]", "stage2_context": "Question: For serv_mem_if, how does the code structure compare with the gate-level result after synthesis at medium optimization? Specifically, does the one always block line up with the sequential cells in the netlist, and how big is the combinational logic compared with the module's size in the source?\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"serv_mem_if\",\n \"port_count\": {\n \"inputs\": 8,\n \"outputs\": 3,\n \"inouts\": 0,\n \"total\": 11\n },\n \"signal_count\": {\n \"wires\": 10,\n \"regs\": 1,\n \"parameters\": 2,\n \"total\": 11\n },\n \"always_blocks\": 1,\n \"assign_statements\": 6,\n \"instantiations\": [],\n \"code_complexity\": {\n \"lines_of_code\": 47,\n \"total_lines\": 60,\n \"cyclomatic_complexity\": 2,\n \"nesting_depth\": 1,\n \"operator_count\": 68\n },\n \"lint_warnings\": [],\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 26.0,\n \"delay\": 132.65,\n \"power\": 0.02,\n \"gate_count\": 20,\n \"cell_breakdown\": {\n \"$_ANDNOT_\": 3,\n \"$_AND_\": 3,\n \"$_DFFE_PP_\": 1,\n \"$_NAND_\": 1,\n \"$_NOR_\": 6,\n \"$_ORNOT_\": 1,\n \"$_OR_\": 5\n },\n \"wire_count\": 25,\n \"wire_bits\": 30,\n \"critical_path_estimate\": 132.65,\n...[1213 chars elided]...\n \"error\": null\n}", "plan_id": "a748b51da775", "design_id": "27dee490b7de", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/olofk/serv", "commit": "f200eb2ed7b69ac1c6b8eddd47654522aeee5ce8", "path": "rtl/serv_mem_if.v", "sha256": "a4fbd74579447710ed43e81dd80b4ea9415da0a3425a447f29446f9bd7a9aa6f"}} {"question": "For serv_mem_if, does a delay-targeted optimization make sense given how big and complex the module is, and what would it cost in area and power?", "answer": "serv_mem_if is a small, simple module with 11 ports (8 inputs, 3 outputs), only 1 always block, 6 assign statements and a cyclomatic complexity of 2, so there is not much logic depth to cut. Even so, the delay-targeted flow (synth, opt -fast, abc -fast, opt_clean) is estimated to change delay by -20.0 while raising area by 10.0 and power by 5.0.", "source_file": "github_repos/olofk_serv/rtl/serv_mem_if.v", "module_name": "serv_mem_if", "tool_name": "optimization_advisor+static_analyzer", "tool_parameters": [{"target_metric": "delay"}, {"analysis_type": "full"}], "tool_result": "[optimization_advisor {\"target_metric\": \"delay\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"delay\",\n \"recommended_recipes\": [\n \"synth -top serv_mem_if\",\n \"opt -fast\",\n \"abc -fast -liberty stdcells.lib\",\n \"opt_clean\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"pipeline_insertion\",\n \"description\": \"Consider pipelining arithmetic operations\",\n \"command\": \"Use register retiming\"\n },\n {\n \"type\": \"logic_duplication\",\n \"description\": \"Duplicate logic to reduce fanout\",\n \"command\": \"splitnets -driver\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": 10.0,\n \"delay\": -20.0,\n \"power\": 5.0\n },\n \"trade_offs\": [\n \"Speed optimization increases area\",\n \"Higher power consumption\"\n ],\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"serv_mem_if\",\n \"port_count\": {\n \"inputs\": 8,\n \"outputs\": 3,\n \"inouts\": 0,\n \"total\": 11\n },\n \"signal_count\": {\n \"wires\": 10,\n \"regs\": 1,\n \"parameters\": 2,\n \"total\": 11\n },\n \"always_blocks\": 1,\n \"assign_statements\": 6,\n \"instantiations\": [],\n \"code_complexity\": {\n \"lines_of_code\": 47,\n \"total_lines\": 60,\n \"cyclomatic_complexity\": 2,\n \"nesting_depth\": 1,\n \"operator_count\": 68\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "category": "multi_tool", "subcategory": "optimization_advisor+static_analyzer", "difficulty": "compositional", "question_hash": "14cb6e1e0fda", "stage1_target": "[{\"tool\": \"optimization_advisor\", \"parameters\": {\"target_metric\": \"delay\"}}, {\"tool\": \"static_analyzer\", \"parameters\": {\"analysis_type\": \"full\"}}]", "stage2_context": "Question: For serv_mem_if, does a delay-targeted optimization make sense given how big and complex the module is, and what would it cost in area and power?\n\n[optimization_advisor {\"target_metric\": \"delay\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"delay\",\n \"recommended_recipes\": [\n \"synth -top serv_mem_if\",\n \"opt -fast\",\n \"abc -fast -liberty stdcells.lib\",\n \"opt_clean\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"pipeline_insertion\",\n \"description\": \"Consider pipelining arithmetic operations\",\n \"command\": \"Use register retiming\"\n },\n {\n \"type\": \"logic_duplication\",\n \"description\": \"Duplicate logic to reduce fanout\",\n \"command\": \"splitnets -driver\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": 10.0,\n \"delay\": -20.0,\n \"power\": 5.0\n },\n \"trade_offs\": [\n \"Speed optimization increases area\",\n \"Higher power consumption\"\n ],\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"serv_mem_if\",\n \"port_count\": {\n \"inputs\": 8,\n \"outputs\": 3,\n \"inouts\": 0,\n \"total\": 11\n },\n \"signal_count\": {\n \"wires\": 10,\n \"regs\": 1,\n \"parameters\": 2,\n \"total\": 11\n },\n \"always_blocks\": 1,\n \"assign_statements\": 6,\n \"instantiations\": [],\n \"code_complexity\": {\n \"lines_of_code\": 47,\n \"total_lines\": 60,\n \"cyclomatic_complexity\": 2,\n \"nesting_depth\": 1,\n \"operator_count\": 68\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "plan_id": "b975499497a4", "design_id": "27dee490b7de", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/olofk/serv", "commit": "f200eb2ed7b69ac1c6b8eddd47654522aeee5ce8", "path": "rtl/serv_mem_if.v", "sha256": "a4fbd74579447710ed43e81dd80b4ea9415da0a3425a447f29446f9bd7a9aa6f"}} {"question": "In NV_NVDLA_SDP_ERDMA_gate, how does the clock-gating logic in the CDFG compare with how big and complex the source code is? Please include the CDFG node and edge counts, the logic operator node types, and the code complexity figures.", "answer": "The CDFG for NV_NVDLA_SDP_ERDMA_gate is small, with 15 nodes and 22 edges: 3 $or nodes, 1 $and, 1 $logic_not and 1 $adff feed a single NV_CLK_gate_power cell that drives the gated clock. The source code is much larger, with 315 lines of code, 11 always blocks, a cyclomatic complexity of 63 and a nesting depth of 41, so most of that complexity comes from the testpoint and coverage code (such as system_verilog_testpoint) and not from the gating logic itself.", "source_file": "github_repos/nvdla_hw/vmod/nvdla/sdp/NV_NVDLA_SDP_ERDMA_gate.v", "module_name": "NV_NVDLA_SDP_ERDMA_gate", "tool_name": "graph_extractor+static_analyzer", "tool_parameters": [{"graph_type": "CDFG"}, {"analysis_type": "full"}], "tool_result": "[graph_extractor {\"graph_type\": \"CDFG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"CDFG\",\n...[4945 chars elided]...\n \"node_count\": 15,\n \"edge_count\": 22,\n \"graph_properties\": {\n \"node_types\": {\n \"$or\": 3,\n \"$logic_not\": 1,\n \"$and\": 1,\n \"$adff\": 1,\n \"NV_CLK_gate_power\": 1,\n \"port_input\": 7,\n \"port_output\": 1\n },\n \"avg_degree\": 1.47,\n \"module_name\": \"NV_NVDLA_SDP_ERDMA_gate\"\n },\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"NV_NVDLA_SDP_ERDMA_gate\",\n \"port_count\": {\n \"inputs\": 7,\n \"outputs\": 1,\n \"inouts\": 0,\n \"total\": 8\n },\n \"signal_count\": {\n \"wires\": 12,\n \"regs\": 12,\n \"parameters\": 0,\n \"total\": 24\n },\n \"always_blocks\": 11,\n \"assign_statements\": 5,\n \"instantiations\": [\n \"ASSOCIATE_TESTPOINT_NAME_GOAL_NUMBER\",\n \"SIMTOP_EOS_SIGNAL\",\n \"endif\",\n \"NV_CLK_gate_power\",\n \"FV_COVER_ON\",\n \"HAS_RETENTION_TESTPOINT_GOAL_0\",\n \"HAS_RETENTION_TESTPOINT_RESET_0\",\n \"COVER_PRINT_TESTPOINT_HITS\",\n \"HAS_RETENTION_TESTPOINT_RESET_1\",\n \"HAS_RETENTION_TESTPOINT_GOAL_1\",\n \"system_verilog_testpoint\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 315,\n \"total_lines\": 449,\n \"cyclomatic_complexity\": 63,\n \"nesting_depth\": 41,\n \"operator_count\": 669\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "category": "multi_tool", "subcategory": "graph_extractor+static_analyzer", "difficulty": "compositional", "question_hash": "21314c10cde0", "stage1_target": "[{\"tool\": \"graph_extractor\", \"parameters\": {\"graph_type\": \"CDFG\"}}, {\"tool\": \"static_analyzer\", \"parameters\": {\"analysis_type\": \"full\"}}]", "stage2_context": "Question: In NV_NVDLA_SDP_ERDMA_gate, how does the clock-gating logic in the CDFG compare with how big and complex the source code is? Please include the CDFG node and edge counts, the logic operator node types, and the code complexity figures.\n\n[graph_extractor {\"graph_type\": \"CDFG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"CDFG\",\n...[4945 chars elided]...\n \"node_count\": 15,\n \"edge_count\": 22,\n \"graph_properties\": {\n \"node_types\": {\n \"$or\": 3,\n \"$logic_not\": 1,\n \"$and\": 1,\n \"$adff\": 1,\n \"NV_CLK_gate_power\": 1,\n \"port_input\": 7,\n \"port_output\": 1\n },\n \"avg_degree\": 1.47,\n \"module_name\": \"NV_NVDLA_SDP_ERDMA_gate\"\n },\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"NV_NVDLA_SDP_ERDMA_gate\",\n \"port_count\": {\n \"inputs\": 7,\n \"outputs\": 1,\n \"inouts\": 0,\n \"total\": 8\n },\n \"signal_count\": {\n \"wires\": 12,\n \"regs\": 12,\n \"parameters\": 0,\n \"total\": 24\n },\n \"always_blocks\": 11,\n \"assign_statements\": 5,\n \"instantiations\": [\n \"ASSOCIATE_TESTPOINT_NAME_GOAL_NUMBER\",\n \"SIMTOP_EOS_SIGNAL\",\n \"endif\",\n \"NV_CLK_gate_power\",\n \"FV_COVER_ON\",\n \"HAS_RETENTION_TESTPOINT_GOAL_0\",\n \"HAS_RETENTION_TESTPOINT_RESET_0\",\n \"COVER_PRINT_TESTPOINT_HITS\",\n \"HAS_RETENTION_TESTPOINT_RESET_1\",\n \"HAS_RETENTION_TESTPOINT_GOAL_1\",\n \"system_verilog_testpoint\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 315,\n \"total_lines\": 449,\n \"cyclomatic_complexity\": 63,\n \"nesting_depth\": 41,\n \"operator_count\": 669\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "plan_id": "a9849f85fa96", "design_id": "2805ffa6801f", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/nvdla/hw", "commit": "8e06b1b9d85aab65b40d43d08eec5ea4681ff715", "path": "vmod/nvdla/sdp/NV_NVDLA_SDP_ERDMA_gate.v", "sha256": "76dfbf12df4df19944c9773fac89071fc591d5ae005684570edc72178a4428fa"}} {"question": "For the apb_gpio module, how does the size of its control/data-flow graph (CDFG) compare with what source-level analysis reports, and are the port counts from the two consistent?", "answer": "The apb_gpio CDFG has 124 nodes and 3789 edges, with an average degree of 30.56; it includes 40 $adffe and 3 $adff flip-flop cells, 15 $eq comparators and 14 $reduce_and cells. Source-level analysis finds 14 regs, 4 always blocks, 15 assign statements and a cyclomatic complexity of 25. The output ports agree, with 9 output port nodes in the graph and 9 outputs in the source, but the inputs do not: the graph has only 8 port_input nodes while the source declares 10 inputs.", "source_file": "github_repos/riscv-mcu_e203_hbirdv2/rtl/e203/perips/apb_gpio/apb_gpio.v", "module_name": "apb_gpio", "tool_name": "graph_extractor+static_analyzer", "tool_parameters": [{"graph_type": "CDFG"}, {"analysis_type": "full"}], "tool_result": "[graph_extractor {\"graph_type\": \"CDFG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"CDFG\",\n...[62627 chars elided]...\n \"node_count\": 124,\n \"edge_count\": 3789,\n \"graph_properties\": {\n \"node_types\": {\n \"$logic_and\": 7,\n \"$logic_not\": 3,\n \"$and\": 11,\n \"$not\": 4,\n \"$or\": 3,\n \"$reduce_or\": 1,\n \"$adffe\": 40,\n \"$reduce_bool\": 1,\n \"$reduce_and\": 14,\n \"$adff\": 3,\n \"$eq\": 15,\n \"$mux\": 4,\n \"$pmux\": 1,\n \"port_input\": 8,\n \"port_output\": 9\n },\n \"avg_degree\": 30.56,\n \"module_name\": \"apb_gpio\"\n },\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"apb_gpio\",\n \"port_count\": {\n \"inputs\": 10,\n \"outputs\": 9,\n \"inouts\": 0,\n \"total\": 19\n },\n \"signal_count\": {\n \"wires\": 22,\n \"regs\": 14,\n \"parameters\": 1,\n \"total\": 36\n },\n \"always_blocks\": 4,\n \"assign_statements\": 15,\n \"instantiations\": [],\n \"code_complexity\": {\n \"lines_of_code\": 188,\n \"total_lines\": 223,\n \"cyclomatic_complexity\": 25,\n \"nesting_depth\": 19,\n \"operator_count\": 365\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "category": "multi_tool", "subcategory": "graph_extractor+static_analyzer", "difficulty": "compositional", "question_hash": "ce3c9c5d3f62", "stage1_target": "[{\"tool\": \"graph_extractor\", \"parameters\": {\"graph_type\": \"CDFG\"}}, {\"tool\": \"static_analyzer\", \"parameters\": {\"analysis_type\": \"full\"}}]", "stage2_context": "Question: For the apb_gpio module, how does the size of its control/data-flow graph (CDFG) compare with what source-level analysis reports, and are the port counts from the two consistent?\n\n[graph_extractor {\"graph_type\": \"CDFG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"CDFG\",\n...[62627 chars elided]...\n \"node_count\": 124,\n \"edge_count\": 3789,\n \"graph_properties\": {\n \"node_types\": {\n \"$logic_and\": 7,\n \"$logic_not\": 3,\n \"$and\": 11,\n \"$not\": 4,\n \"$or\": 3,\n \"$reduce_or\": 1,\n \"$adffe\": 40,\n \"$reduce_bool\": 1,\n \"$reduce_and\": 14,\n \"$adff\": 3,\n \"$eq\": 15,\n \"$mux\": 4,\n \"$pmux\": 1,\n \"port_input\": 8,\n \"port_output\": 9\n },\n \"avg_degree\": 30.56,\n \"module_name\": \"apb_gpio\"\n },\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"apb_gpio\",\n \"port_count\": {\n \"inputs\": 10,\n \"outputs\": 9,\n \"inouts\": 0,\n \"total\": 19\n },\n \"signal_count\": {\n \"wires\": 22,\n \"regs\": 14,\n \"parameters\": 1,\n \"total\": 36\n },\n \"always_blocks\": 4,\n \"assign_statements\": 15,\n \"instantiations\": [],\n \"code_complexity\": {\n \"lines_of_code\": 188,\n \"total_lines\": 223,\n \"cyclomatic_complexity\": 25,\n \"nesting_depth\": 19,\n \"operator_count\": 365\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "plan_id": "7a0638c614b8", "design_id": "2b4dcc525f26", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/riscv-mcu/e203_hbirdv2", "commit": "9f3e34f337f5d0a1236a285871ffa2032491617a", "path": "rtl/e203/perips/apb_gpio/apb_gpio.v", "sha256": "c2515b9d72d8f5c8c29a2c3e7b35dd880a81751f4c333871371ac95f881f2294"}} {"question": "For NV_NVDLA_CVIF_READ_IG_cvt, the area-targeted optimization plan includes aggressive resource sharing and mux sharing. Given how big and complex the module's code is, is that a reasonable plan, and what area gain and delay cost should I expect?", "answer": "The plan is reasonable. NV_NVDLA_CVIF_READ_IG_cvt has 75 assign statements, 15 always blocks, 1423 operators and a cyclomatic complexity of 44, which leaves plenty of logic that \"share -aggressive\" and \"muxcover; opt\" could merge. The estimated area improvement is -15.0, at the cost of a 5.0 delay increase and more complex routing.", "source_file": "github_repos/nvdla_hw/vmod/nvdla/nocif/NV_NVDLA_CVIF_READ_IG_cvt.v", "module_name": "NV_NVDLA_CVIF_READ_IG_cvt", "tool_name": "optimization_advisor+static_analyzer", "tool_parameters": [{"target_metric": "area"}, {"analysis_type": "full"}], "tool_result": "[optimization_advisor {\"target_metric\": \"area\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"area\",\n \"recommended_recipes\": [\n \"synth -top NV_NVDLA_CVIF_READ_IG_cvt -flatten\",\n \"opt -full; share -aggressive; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean -purge\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"mux_optimization\",\n \"description\": \"Share multiplexers where possible\",\n \"command\": \"muxcover; opt\"\n },\n {\n \"type\": \"resource_sharing\",\n \"description\": \"Share arithmetic operators\",\n \"command\": \"share -aggressive\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": -15.0,\n \"delay\": 5.0,\n \"power\": -10.0\n },\n \"trade_offs\": [\n \"Area optimization may increase delay\",\n \"Aggressive sharing increases routing complexity\"\n ],\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"NV_NVDLA_CVIF_READ_IG_cvt\",\n \"port_count\": {\n \"inputs\": 13,\n \"outputs\": 13,\n \"inouts\": 0,\n \"total\": 26\n },\n \"signal_count\": {\n \"wires\": 47,\n \"regs\": 24,\n \"parameters\": 0,\n \"total\": 71\n },\n \"always_blocks\": 15,\n \"assign_statements\": 75,\n \"instantiations\": [\n \"NV_NVDLA_CVIF_READ_IG_CVT_pipe_p1\",\n \"define\",\n \"is\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 443,\n \"total_lines\": 727,\n \"cyclomatic_complexity\": 44,\n \"nesting_depth\": 27,\n \"operator_count\": 1423\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "category": "multi_tool", "subcategory": "optimization_advisor+static_analyzer", "difficulty": "compositional", "question_hash": "9c526d1569ae", "stage1_target": "[{\"tool\": \"optimization_advisor\", \"parameters\": {\"target_metric\": \"area\"}}, {\"tool\": \"static_analyzer\", \"parameters\": {\"analysis_type\": \"full\"}}]", "stage2_context": "Question: For NV_NVDLA_CVIF_READ_IG_cvt, the area-targeted optimization plan includes aggressive resource sharing and mux sharing. Given how big and complex the module's code is, is that a reasonable plan, and what area gain and delay cost should I expect?\n\n[optimization_advisor {\"target_metric\": \"area\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"area\",\n \"recommended_recipes\": [\n \"synth -top NV_NVDLA_CVIF_READ_IG_cvt -flatten\",\n \"opt -full; share -aggressive; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean -purge\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"mux_optimization\",\n \"description\": \"Share multiplexers where possible\",\n \"command\": \"muxcover; opt\"\n },\n {\n \"type\": \"resource_sharing\",\n \"description\": \"Share arithmetic operators\",\n \"command\": \"share -aggressive\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": -15.0,\n \"delay\": 5.0,\n \"power\": -10.0\n },\n \"trade_offs\": [\n \"Area optimization may increase delay\",\n \"Aggressive sharing increases routing complexity\"\n ],\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"NV_NVDLA_CVIF_READ_IG_cvt\",\n \"port_count\": {\n \"inputs\": 13,\n \"outputs\": 13,\n \"inouts\": 0,\n \"total\": 26\n },\n \"signal_count\": {\n \"wires\": 47,\n \"regs\": 24,\n \"parameters\": 0,\n \"total\": 71\n },\n \"always_blocks\": 15,\n \"assign_statements\": 75,\n \"instantiations\": [\n \"NV_NVDLA_CVIF_READ_IG_CVT_pipe_p1\",\n \"define\",\n \"is\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 443,\n \"total_lines\": 727,\n \"cyclomatic_complexity\": 44,\n \"nesting_depth\": 27,\n \"operator_count\": 1423\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "plan_id": "d5074a4c5a42", "design_id": "2c1055d88e88", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/nvdla/hw", "commit": "8e06b1b9d85aab65b40d43d08eec5ea4681ff715", "path": "vmod/nvdla/nocif/NV_NVDLA_CVIF_READ_IG_cvt.v", "sha256": "1e3b83d55140d44a0aeca2b27c2cc29d71c93b50bdb3e0872ea0859c141afe12"}} {"question": "For the testcase module, does the structural code review agree with what medium-effort synthesis produced? Please compare the instantiated cells and the port count from the code review with the synthesized cell breakdown and wire count, and give the resulting area and delay.", "answer": "Yes, they agree. The code review shows testcase has 3 ports (2 inputs, 1 output), no always blocks or assign statements, and only one instantiated cell, DFF_X1. Medium-effort synthesis likewise gives a gate count of 1 (a single DFF_X1) and 3 wires, with an area of 1.0 and a delay of 50.0.", "source_file": "github_repos/The-OpenROAD-Project_OpenROAD/src/dbSta/test/make_port.v", "module_name": "testcase", "tool_name": "static_analyzer+synthesis_tool", "tool_parameters": [{"analysis_type": "full"}, {"optimization_level": "medium"}], "tool_result": "[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"testcase\",\n \"port_count\": {\n \"inputs\": 2,\n \"outputs\": 1,\n \"inouts\": 0,\n \"total\": 3\n },\n \"signal_count\": {\n \"wires\": 0,\n \"regs\": 0,\n \"parameters\": 0,\n \"total\": 0\n },\n \"always_blocks\": 0,\n \"assign_statements\": 0,\n \"instantiations\": [\n \"DFF_X1\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 10,\n \"total_lines\": 12,\n \"cyclomatic_complexity\": 1,\n \"nesting_depth\": 0,\n \"operator_count\": 0\n },\n \"lint_warnings\": [],\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 1.0,\n \"delay\": 50.0,\n \"power\": 0.001,\n \"gate_count\": 1,\n \"cell_breakdown\": {\n \"DFF_X1\": 1\n },\n \"wire_count\": 3,\n \"wire_bits\": 3,\n \"critical_path_estimate\": 50.0,\n...[1070 chars elided]...\n \"error\": null\n}", "category": "multi_tool", "subcategory": "static_analyzer+synthesis_tool", "difficulty": "compositional", "question_hash": "6d1edf164bc0", "stage1_target": "[{\"tool\": \"static_analyzer\", \"parameters\": {\"analysis_type\": \"full\"}}, {\"tool\": \"synthesis_tool\", \"parameters\": {\"optimization_level\": \"medium\"}}]", "stage2_context": "Question: For the testcase module, does the structural code review agree with what medium-effort synthesis produced? Please compare the instantiated cells and the port count from the code review with the synthesized cell breakdown and wire count, and give the resulting area and delay.\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"testcase\",\n \"port_count\": {\n \"inputs\": 2,\n \"outputs\": 1,\n \"inouts\": 0,\n \"total\": 3\n },\n \"signal_count\": {\n \"wires\": 0,\n \"regs\": 0,\n \"parameters\": 0,\n \"total\": 0\n },\n \"always_blocks\": 0,\n \"assign_statements\": 0,\n \"instantiations\": [\n \"DFF_X1\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 10,\n \"total_lines\": 12,\n \"cyclomatic_complexity\": 1,\n \"nesting_depth\": 0,\n \"operator_count\": 0\n },\n \"lint_warnings\": [],\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 1.0,\n \"delay\": 50.0,\n \"power\": 0.001,\n \"gate_count\": 1,\n \"cell_breakdown\": {\n \"DFF_X1\": 1\n },\n \"wire_count\": 3,\n \"wire_bits\": 3,\n \"critical_path_estimate\": 50.0,\n...[1070 chars elided]...\n \"error\": null\n}", "plan_id": "c588d10ef53e", "design_id": "2f2400857de2", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/The-OpenROAD-Project/OpenROAD", "commit": "3e3e483a4e3f98e2b5470b272040699de6dedbee", "path": "src/dbSta/test/make_port.v", "sha256": "c33efdcf9e95f00256e542f2e77e3b97e05201a9a40f5bd92fc790c387dd1f3a"}} {"question": "For the module top, which consists of only one DFF_X1 and one AND2_X1 instance with no always blocks, would it make sense to follow the power-targeted optimization recommendation of clock gating, given the synthesized area, power, and delay figures?", "answer": "The power-targeted recommendation suggests inserting clock gating with the `clockgate` command and estimates a -25.0 power improvement, with area and delay each changing by 5.0. That is a poor deal for top: the structural check shows 3 inputs, 1 output, 0 always blocks and just the DFF_X1 and AND2_X1 instances, and synthesis reports a gate count of 2, an area of 2.0, power of only 0.002 and a delay of 61.56. With a single register, the overhead of a clock-gating cell and the extra timing complexity would likely cost more than the tiny power saving it could deliver.", "source_file": "github_repos/The-OpenROAD-Project_OpenROAD/src/cut/test/simple_and_gate_extract.v", "module_name": "top", "tool_name": "optimization_advisor+static_analyzer+synthesis_tool", "tool_parameters": [{"target_metric": "power"}, {"analysis_type": "full"}, {"optimization_level": "medium"}], "tool_result": "[optimization_advisor {\"target_metric\": \"power\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"power\",\n \"recommended_recipes\": [\n \"synth -top top\",\n \"opt; share; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean; clockgate\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"clock_gating\",\n \"description\": \"Insert clock gating for registers\",\n \"command\": \"clockgate\"\n },\n {\n \"type\": \"operand_isolation\",\n \"description\": \"Isolate operands when not in use\",\n \"command\": \"Use enable signals for arithmetic\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": 5.0,\n \"delay\": 5.0,\n \"power\": -25.0\n },\n \"trade_offs\": [\n \"Power optimization may add area overhead\",\n \"Clock gating adds timing complexity\"\n ],\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"top\",\n \"port_count\": {\n \"inputs\": 3,\n \"outputs\": 1,\n \"inouts\": 0,\n \"total\": 4\n },\n \"signal_count\": {\n \"wires\": 2,\n \"regs\": 0,\n \"parameters\": 0,\n \"total\": 2\n },\n \"always_blocks\": 0,\n \"assign_statements\": 0,\n \"instantiations\": [\n \"DFF_X1\",\n \"AND2_X1\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 20,\n \"total_lines\": 26,\n \"cyclomatic_complexity\": 1,\n \"nesting_depth\": 0,\n \"operator_count\": 7\n },\n \"lint_warnings\": [],\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 2.0,\n \"delay\": 61.56,\n \"power\": 0.002,\n \"gate_count\": 2,\n \"cell_breakdown\": {\n \"AND2_X1\": 1,\n \"DFF_X1\": 1\n },\n \"wire_count\": 6,\n \"wire_bits\": 6,\n \"critical_path_estimate\": 61.56,\n...[1545 chars elided]...\n \"error\": null\n}", "category": "multi_tool", "subcategory": "optimization_advisor+static_analyzer+synthesis_tool", "difficulty": "compositional", "question_hash": "4a1a9190ee75", "stage1_target": "[{\"tool\": \"optimization_advisor\", \"parameters\": {\"target_metric\": \"power\"}}, {\"tool\": \"static_analyzer\", \"parameters\": {\"analysis_type\": \"full\"}}, {\"tool\": \"synthesis_tool\", \"parameters\": {\"optimization_level\": \"medium\"}}]", "stage2_context": "Question: For the module top, which consists of only one DFF_X1 and one AND2_X1 instance with no always blocks, would it make sense to follow the power-targeted optimization recommendation of clock gating, given the synthesized area, power, and delay figures?\n\n[optimization_advisor {\"target_metric\": \"power\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"power\",\n \"recommended_recipes\": [\n \"synth -top top\",\n \"opt; share; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean; clockgate\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"clock_gating\",\n \"description\": \"Insert clock gating for registers\",\n \"command\": \"clockgate\"\n },\n {\n \"type\": \"operand_isolation\",\n \"description\": \"Isolate operands when not in use\",\n \"command\": \"Use enable signals for arithmetic\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": 5.0,\n \"delay\": 5.0,\n \"power\": -25.0\n },\n \"trade_offs\": [\n \"Power optimization may add area overhead\",\n \"Clock gating adds timing complexity\"\n ],\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"top\",\n \"port_count\": {\n \"inputs\": 3,\n \"outputs\": 1,\n \"inouts\": 0,\n \"total\": 4\n },\n \"signal_count\": {\n \"wires\": 2,\n \"regs\": 0,\n \"parameters\": 0,\n \"total\": 2\n },\n \"always_blocks\": 0,\n \"assign_statements\": 0,\n \"instantiations\": [\n \"DFF_X1\",\n \"AND2_X1\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 20,\n \"total_lines\": 26,\n \"cyclomatic_complexity\": 1,\n \"nesting_depth\": 0,\n \"operator_count\": 7\n },\n \"lint_warnings\": [],\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 2.0,\n \"delay\": 61.56,\n \"power\": 0.002,\n \"gate_count\": 2,\n \"cell_breakdown\": {\n \"AND2_X1\": 1,\n \"DFF_X1\": 1\n },\n \"wire_count\": 6,\n \"wire_bits\": 6,\n \"critical_path_estimate\": 61.56,\n...[1545 chars elided]...\n \"error\": null\n}", "plan_id": "38062162282b", "design_id": "305aa8898e32", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 3, "ctx_cap": 3300, "source": {"repository": "https://github.com/The-OpenROAD-Project/OpenROAD", "commit": "3e3e483a4e3f98e2b5470b272040699de6dedbee", "path": "src/cut/test/simple_and_gate_extract.v", "sha256": "c8051223f3a3a19d2d3a51863ec76941c386da83fb0c22f6403b955b12ff383c"}} {"question": "For the riscv_exec module, I'm considering an area-targeted optimization pass that uses aggressive operator sharing. Given how complex the control logic is, is that a reasonable plan, and what area gain and delay penalty should I expect?", "answer": "riscv_exec is a fairly control-heavy module, with a cyclomatic complexity of 69, a nesting depth of 37, 5 always blocks and 24 regs, so there are likely many multiplexers and arithmetic operators that sharing could merge. The area-targeted plan built on 'share -aggressive' estimates a -15.0 area change, with delay worsening by 5.0 and a -10.0 change in power. The trade-off to watch is that aggressive sharing increases routing complexity, which is a real concern in deeply nested logic like this.", "source_file": "github_repos/ultraembedded_riscv/core/riscv/riscv_exec.v", "module_name": "riscv_exec", "tool_name": "optimization_advisor+static_analyzer", "tool_parameters": [{"target_metric": "area"}, {"analysis_type": "full"}], "tool_result": "[optimization_advisor {\"target_metric\": \"area\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"area\",\n \"recommended_recipes\": [\n \"synth -top riscv_exec -flatten\",\n \"opt -full; share -aggressive; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean -purge\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"mux_optimization\",\n \"description\": \"Share multiplexers where possible\",\n \"command\": \"muxcover; opt\"\n },\n {\n \"type\": \"resource_sharing\",\n \"description\": \"Share arithmetic operators\",\n \"command\": \"share -aggressive\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": -15.0,\n \"delay\": 5.0,\n \"power\": -10.0\n },\n \"trade_offs\": [\n \"Area optimization may increase delay\",\n \"Aggressive sharing increases routing complexity\"\n ],\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"riscv_exec\",\n \"port_count\": {\n \"inputs\": 9,\n \"outputs\": 7,\n \"inouts\": 0,\n \"total\": 16\n },\n \"signal_count\": {\n \"wires\": 1,\n \"regs\": 24,\n \"parameters\": 0,\n \"total\": 25\n },\n \"always_blocks\": 5,\n \"assign_statements\": 12,\n \"instantiations\": [\n \"riscv_alu\",\n \"than\",\n \"CONSEQUENTIAL\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 323,\n \"total_lines\": 422,\n \"cyclomatic_complexity\": 69,\n \"nesting_depth\": 37,\n \"operator_count\": 1730\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "category": "multi_tool", "subcategory": "optimization_advisor+static_analyzer", "difficulty": "compositional", "question_hash": "78e9659ecf64", "stage1_target": "[{\"tool\": \"optimization_advisor\", \"parameters\": {\"target_metric\": \"area\"}}, {\"tool\": \"static_analyzer\", \"parameters\": {\"analysis_type\": \"full\"}}]", "stage2_context": "Question: For the riscv_exec module, I'm considering an area-targeted optimization pass that uses aggressive operator sharing. Given how complex the control logic is, is that a reasonable plan, and what area gain and delay penalty should I expect?\n\n[optimization_advisor {\"target_metric\": \"area\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"area\",\n \"recommended_recipes\": [\n \"synth -top riscv_exec -flatten\",\n \"opt -full; share -aggressive; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean -purge\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"mux_optimization\",\n \"description\": \"Share multiplexers where possible\",\n \"command\": \"muxcover; opt\"\n },\n {\n \"type\": \"resource_sharing\",\n \"description\": \"Share arithmetic operators\",\n \"command\": \"share -aggressive\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": -15.0,\n \"delay\": 5.0,\n \"power\": -10.0\n },\n \"trade_offs\": [\n \"Area optimization may increase delay\",\n \"Aggressive sharing increases routing complexity\"\n ],\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"riscv_exec\",\n \"port_count\": {\n \"inputs\": 9,\n \"outputs\": 7,\n \"inouts\": 0,\n \"total\": 16\n },\n \"signal_count\": {\n \"wires\": 1,\n \"regs\": 24,\n \"parameters\": 0,\n \"total\": 25\n },\n \"always_blocks\": 5,\n \"assign_statements\": 12,\n \"instantiations\": [\n \"riscv_alu\",\n \"than\",\n \"CONSEQUENTIAL\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 323,\n \"total_lines\": 422,\n \"cyclomatic_complexity\": 69,\n \"nesting_depth\": 37,\n \"operator_count\": 1730\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "plan_id": "6c7a934f29ff", "design_id": "3126eb9d02db", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/ultraembedded/riscv", "commit": "7ae6f803e30f78c6ea3121e73c3adf50ff912730", "path": "core/riscv/riscv_exec.v", "sha256": "bf8ef962bcfbdc250b53562e842d0c42aad53a14b4ea33830fbf5490b0a85536"}} {"question": "For clk_divider, the delay-targeted optimization plan suggests pipelining with register retiming and logic duplication. Given how complex the module's control logic is, is that worth doing, and what would it cost in area and power?", "answer": "clk_divider has only 4 regs and a single always block, but it has a cyclomatic complexity of 12 and a nesting depth of 11, so its deeply nested control logic is the most likely source of long paths and the best place for retiming or splitnets-based logic duplication to help. The delay optimization estimates a -20.0 change in delay, at the cost of a 10.0 increase in area and a 5.0 increase in power.", "source_file": "github_repos/nvdla_hw/verif/synth_tb/clk_divider.v", "module_name": "clk_divider", "tool_name": "optimization_advisor+static_analyzer", "tool_parameters": [{"target_metric": "delay"}, {"analysis_type": "full"}], "tool_result": "[optimization_advisor {\"target_metric\": \"delay\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"delay\",\n \"recommended_recipes\": [\n \"synth -top clk_divider\",\n \"opt -fast\",\n \"abc -fast -liberty stdcells.lib\",\n \"opt_clean\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"pipeline_insertion\",\n \"description\": \"Consider pipelining arithmetic operations\",\n \"command\": \"Use register retiming\"\n },\n {\n \"type\": \"logic_duplication\",\n \"description\": \"Duplicate logic to reduce fanout\",\n \"command\": \"splitnets -driver\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": 10.0,\n \"delay\": -20.0,\n \"power\": 5.0\n },\n \"trade_offs\": [\n \"Speed optimization increases area\",\n \"Higher power consumption\"\n ],\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"clk_divider\",\n \"port_count\": {\n \"inputs\": 2,\n \"outputs\": 1,\n \"inouts\": 0,\n \"total\": 3\n },\n \"signal_count\": {\n \"wires\": 0,\n \"regs\": 4,\n \"parameters\": 0,\n \"total\": 4\n },\n \"always_blocks\": 1,\n \"assign_statements\": 0,\n \"instantiations\": [],\n \"code_complexity\": {\n \"lines_of_code\": 44,\n \"total_lines\": 62,\n \"cyclomatic_complexity\": 12,\n \"nesting_depth\": 11,\n \"operator_count\": 55\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "category": "multi_tool", "subcategory": "optimization_advisor+static_analyzer", "difficulty": "compositional", "question_hash": "4c4f3dd78db2", "stage1_target": "[{\"tool\": \"optimization_advisor\", \"parameters\": {\"target_metric\": \"delay\"}}, {\"tool\": \"static_analyzer\", \"parameters\": {\"analysis_type\": \"full\"}}]", "stage2_context": "Question: For clk_divider, the delay-targeted optimization plan suggests pipelining with register retiming and logic duplication. Given how complex the module's control logic is, is that worth doing, and what would it cost in area and power?\n\n[optimization_advisor {\"target_metric\": \"delay\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"delay\",\n \"recommended_recipes\": [\n \"synth -top clk_divider\",\n \"opt -fast\",\n \"abc -fast -liberty stdcells.lib\",\n \"opt_clean\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"pipeline_insertion\",\n \"description\": \"Consider pipelining arithmetic operations\",\n \"command\": \"Use register retiming\"\n },\n {\n \"type\": \"logic_duplication\",\n \"description\": \"Duplicate logic to reduce fanout\",\n \"command\": \"splitnets -driver\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": 10.0,\n \"delay\": -20.0,\n \"power\": 5.0\n },\n \"trade_offs\": [\n \"Speed optimization increases area\",\n \"Higher power consumption\"\n ],\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"clk_divider\",\n \"port_count\": {\n \"inputs\": 2,\n \"outputs\": 1,\n \"inouts\": 0,\n \"total\": 3\n },\n \"signal_count\": {\n \"wires\": 0,\n \"regs\": 4,\n \"parameters\": 0,\n \"total\": 4\n },\n \"always_blocks\": 1,\n \"assign_statements\": 0,\n \"instantiations\": [],\n \"code_complexity\": {\n \"lines_of_code\": 44,\n \"total_lines\": 62,\n \"cyclomatic_complexity\": 12,\n \"nesting_depth\": 11,\n \"operator_count\": 55\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "plan_id": "3aedc29194d3", "design_id": "312ffb97aee0", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/nvdla/hw", "commit": "8e06b1b9d85aab65b40d43d08eec5ea4681ff715", "path": "verif/synth_tb/clk_divider.v", "sha256": "ba6b88c6f10485da2542323aae44df0bac0879ca28dcda7f3bcd7a7eb50d6da9"}} {"question": "In the CDFG of servile_mux there are only a handful of operator nodes, but the code has a cyclomatic complexity of 10 and medium-effort synthesis produces 101 gates. Can you reconcile these numbers? What does the CDFG operator mix look like, what does the code structure contribute, and what does the gate-level cell breakdown look like?", "answer": "The CDFG for servile_mux has 29 nodes and 111 edges. Most of the nodes are ports (11 port_input and 12 port_output), and the only operators are 1 $mux, 1 $or, 2 $and, 1 $logic_not and 1 $reduce_bool. The source is 84 lines of code with a cyclomatic complexity of 10, nesting depth of 6 and 75 operators, and medium-effort synthesis maps it to 101 cells (96 $_NAND_, 2 $_AND_, 2 $_OR_ and 1 $_NOR_) with a delay of 161.3, which shows that the few wide word-level operators become a large NAND-based gate network.", "source_file": "github_repos/olofk_serv/servile/servile_mux.v", "module_name": "servile_mux", "tool_name": "graph_extractor+static_analyzer+synthesis_tool", "tool_parameters": [{"graph_type": "CDFG"}, {"analysis_type": "full"}, {"optimization_level": "medium"}], "tool_result": "[graph_extractor {\"graph_type\": \"CDFG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"CDFG\",\n...[19487 chars elided]...\n \"node_count\": 29,\n \"edge_count\": 111,\n \"graph_properties\": {\n \"node_types\": {\n \"$reduce_bool\": 1,\n \"$mux\": 1,\n \"$or\": 1,\n \"$and\": 2,\n \"$logic_not\": 1,\n \"port_input\": 11,\n \"port_output\": 12\n },\n \"avg_degree\": 3.83,\n \"module_name\": \"servile_mux\"\n },\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"servile_mux\",\n \"port_count\": {\n \"inputs\": 11,\n \"outputs\": 12,\n \"inouts\": 0,\n \"total\": 23\n },\n \"signal_count\": {\n \"wires\": 26,\n \"regs\": 2,\n \"parameters\": 0,\n \"total\": 28\n },\n \"always_blocks\": 1,\n \"assign_statements\": 16,\n \"instantiations\": [\n \"generate\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 84,\n \"total_lines\": 101,\n \"cyclomatic_complexity\": 10,\n \"nesting_depth\": 6,\n \"operator_count\": 75\n },\n \"lint_warnings\": [],\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 101.0,\n \"delay\": 161.3,\n \"power\": 0.101,\n \"gate_count\": 101,\n \"cell_breakdown\": {\n \"$_AND_\": 2,\n \"$_NAND_\": 96,\n \"$_NOR_\": 1,\n \"$_OR_\": 2\n },\n \"wire_count\": 92,\n \"wire_bits\": 380,\n \"critical_path_estimate\": 161.3,\n \"synthesis_log\"\n...[1591 chars elided]...\n \"error\": null\n}", "category": "multi_tool", "subcategory": "graph_extractor+static_analyzer+synthesis_tool", "difficulty": "compositional", "question_hash": "7c7cde7d773c", "stage1_target": "[{\"tool\": \"graph_extractor\", \"parameters\": {\"graph_type\": \"CDFG\"}}, {\"tool\": \"static_analyzer\", \"parameters\": {\"analysis_type\": \"full\"}}, {\"tool\": \"synthesis_tool\", \"parameters\": {\"optimization_level\": \"medium\"}}]", "stage2_context": "Question: In the CDFG of servile_mux there are only a handful of operator nodes, but the code has a cyclomatic complexity of 10 and medium-effort synthesis produces 101 gates. Can you reconcile these numbers? What does the CDFG operator mix look like, what does the code structure contribute, and what does the gate-level cell breakdown look like?\n\n[graph_extractor {\"graph_type\": \"CDFG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"CDFG\",\n...[19487 chars elided]...\n \"node_count\": 29,\n \"edge_count\": 111,\n \"graph_properties\": {\n \"node_types\": {\n \"$reduce_bool\": 1,\n \"$mux\": 1,\n \"$or\": 1,\n \"$and\": 2,\n \"$logic_not\": 1,\n \"port_input\": 11,\n \"port_output\": 12\n },\n \"avg_degree\": 3.83,\n \"module_name\": \"servile_mux\"\n },\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"servile_mux\",\n \"port_count\": {\n \"inputs\": 11,\n \"outputs\": 12,\n \"inouts\": 0,\n \"total\": 23\n },\n \"signal_count\": {\n \"wires\": 26,\n \"regs\": 2,\n \"parameters\": 0,\n \"total\": 28\n },\n \"always_blocks\": 1,\n \"assign_statements\": 16,\n \"instantiations\": [\n \"generate\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 84,\n \"total_lines\": 101,\n \"cyclomatic_complexity\": 10,\n \"nesting_depth\": 6,\n \"operator_count\": 75\n },\n \"lint_warnings\": [],\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 101.0,\n \"delay\": 161.3,\n \"power\": 0.101,\n \"gate_count\": 101,\n \"cell_breakdown\": {\n \"$_AND_\": 2,\n \"$_NAND_\": 96,\n \"$_NOR_\": 1,\n \"$_OR_\": 2\n },\n \"wire_count\": 92,\n \"wire_bits\": 380,\n \"critical_path_estimate\": 161.3,\n \"synthesis_log\"\n...[1591 chars elided]...\n \"error\": null\n}", "plan_id": "15e9913d75df", "design_id": "34658c5c776c", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 3, "ctx_cap": 3300, "source": {"repository": "https://github.com/olofk/serv", "commit": "f200eb2ed7b69ac1c6b8eddd47654522aeee5ce8", "path": "servile/servile_mux.v", "sha256": "38ca38dade5805eb5f4ea9d20c9d2003ddb44926a4e17b2708067c152385fa17"}} {"question": "For the nv_ram_rws_16x256 RAM wrapper, how well does the RTL map onto the netlist, and does the AIG graph structure explain why so many RTL signals (such as the shadow memory rows) end up with no netlist counterpart?", "answer": "The RTL-to-netlist alignment score is only 69.14, with 56 of 81 RTL signals mapped and 25 unmapped, including all the behavioral shadow_mem rows (shadow_mem_row0 through shadow_mem_row15), random_num and disable_clear_mem. The AIG explains this: it has 319 nodes and 1199 edges, but 257 of those nodes are NV_BLKBOX_SINK cells and only 1 is the nv_ram_rws_16x256_logic block, so the storage array was abstracted into a black box and its simulation-only shadow memory never appeared as netlist wires.", "source_file": "github_repos/nvdla_hw/vmod/rams/synth/nv_ram_rws_16x256.v", "module_name": "nv_ram_rws_16x256", "tool_name": "cross_stage_mapper+graph_extractor", "tool_parameters": [{}, {"graph_type": "AIG"}], "tool_result": "[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"mbist_en_sync\": [\n \"mbist_en_sync\",\n \"pre_mbist_en_sync\"\n ],\n \"di\": [\n \"di\"\n ],\n \"row\": [],\n \"mbist_ce_r0\": [\n \"mbist_ce_r0\",\n \"pre_mbist_ce_r0\"\n ],\n \"shadow_mem_row5\": [],\n \"shadow_mem_row8\": [],\n \"ra\": [\n \"pre_mbist_ramaccess_rst_\",\n \"ra\",\n \"pre_scan_ramtms\",\n \"mbist_ramaccess_rst_\",\n \"scan_ramtm\n...[3792 chars elided]...\n [\n \"pre_mbist_Wa_w0_0\",\n \"pre_mbist_Wa_w0_3\",\n \"pre_mbist_Wa_w0_2\",\n \"pre_mbist_Wa_w0_1\",\n \"mbist_Wa_w0\"\n ],\n \"write_inh\": [\n \"pre_write_inh\",\n \"write_inh\"\n ],\n \"shadow_mem_row0\": []\n },\n \"alignment_score\": 69.14,\n \"unmapped_elements\": [\n \"row\",\n \"shadow_mem_row5\",\n \"shadow_mem_row8\",\n \"string\",\n \"shadow_mem\",\n \"shadow_mem_row6\",\n \"shadow_mem_row13\",\n \"integer\",\n \"disable_clear_mem\",\n \"shadow_mem_row14\",\n \"shadow_mem_row1\",\n \"shadow_mem_row2\",\n \"shadow_mem_row9\",\n \"random_num\",\n \"shadow_mem_row12\",\n \"shadow_mem_row11\",\n \"shadow_mem_row3\",\n \"data\",\n \"shadow_mem_row15\",\n \"bitnum\"\n ],\n \"mapping_statistics\": {\n \"rtl_signals\": 81,\n \"netlist_wires\": 55,\n \"netlist_cells\": 0,\n \"mapped_signals\": 56,\n \"unmapped_signals\": 25\n },\n \"error\": null\n}\n\n[graph_extractor {\"graph_type\": \"AIG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"AIG\",\n...[44032 chars elided]...\n \"node_count\": 319,\n \"edge_count\": 1199,\n \"graph_properties\": {\n \"node_types\": {\n \"NV_BLKBOX_SRC0\": 3,\n \"AN2D4PO4\": 25,\n \"nv_ram_rws_16x256_logic\": 1,\n \"NV_BLKBOX_SRC0_X\": 25,\n \"NV_BLKBOX_SINK\": 257,\n \"port_input\": 7,\n \"port_output\": 1\n },\n \"avg_degree\": 3.76,\n \"module_name\": \"nv_ram_rws_16x256\"\n },\n \"error\": null\n}", "category": "multi_tool", "subcategory": "cross_stage_mapper+graph_extractor", "difficulty": "compositional", "question_hash": "8e237b81e38e", "stage1_target": "[{\"tool\": \"cross_stage_mapper\", \"parameters\": {}}, {\"tool\": \"graph_extractor\", \"parameters\": {\"graph_type\": \"AIG\"}}]", "stage2_context": "Question: For the nv_ram_rws_16x256 RAM wrapper, how well does the RTL map onto the netlist, and does the AIG graph structure explain why so many RTL signals (such as the shadow memory rows) end up with no netlist counterpart?\n\n[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"mbist_en_sync\": [\n \"mbist_en_sync\",\n \"pre_mbist_en_sync\"\n ],\n \"di\": [\n \"di\"\n ],\n \"row\": [],\n \"mbist_ce_r0\": [\n \"mbist_ce_r0\",\n \"pre_mbist_ce_r0\"\n ],\n \"shadow_mem_row5\": [],\n \"shadow_mem_row8\": [],\n \"ra\": [\n \"pre_mbist_ramaccess_rst_\",\n \"ra\",\n \"pre_scan_ramtms\",\n \"mbist_ramaccess_rst_\",\n \"scan_ramtm\n...[3792 chars elided]...\n [\n \"pre_mbist_Wa_w0_0\",\n \"pre_mbist_Wa_w0_3\",\n \"pre_mbist_Wa_w0_2\",\n \"pre_mbist_Wa_w0_1\",\n \"mbist_Wa_w0\"\n ],\n \"write_inh\": [\n \"pre_write_inh\",\n \"write_inh\"\n ],\n \"shadow_mem_row0\": []\n },\n \"alignment_score\": 69.14,\n \"unmapped_elements\": [\n \"row\",\n \"shadow_mem_row5\",\n \"shadow_mem_row8\",\n \"string\",\n \"shadow_mem\",\n \"shadow_mem_row6\",\n \"shadow_mem_row13\",\n \"integer\",\n \"disable_clear_mem\",\n \"shadow_mem_row14\",\n \"shadow_mem_row1\",\n \"shadow_mem_row2\",\n \"shadow_mem_row9\",\n \"random_num\",\n \"shadow_mem_row12\",\n \"shadow_mem_row11\",\n \"shadow_mem_row3\",\n \"data\",\n \"shadow_mem_row15\",\n \"bitnum\"\n ],\n \"mapping_statistics\": {\n \"rtl_signals\": 81,\n \"netlist_wires\": 55,\n \"netlist_cells\": 0,\n \"mapped_signals\": 56,\n \"unmapped_signals\": 25\n },\n \"error\": null\n}\n\n[graph_extractor {\"graph_type\": \"AIG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"AIG\",\n...[44032 chars elided]...\n \"node_count\": 319,\n \"edge_count\": 1199,\n \"graph_properties\": {\n \"node_types\": {\n \"NV_BLKBOX_SRC0\": 3,\n \"AN2D4PO4\": 25,\n \"nv_ram_rws_16x256_logic\": 1,\n \"NV_BLKBOX_SRC0_X\": 25,\n \"NV_BLKBOX_SINK\": 257,\n \"port_input\": 7,\n \"port_output\": 1\n },\n \"avg_degree\": 3.76,\n \"module_name\": \"nv_ram_rws_16x256\"\n },\n \"error\": null\n}", "plan_id": "0d28502c8101", "design_id": "3486db9f78c0", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/nvdla/hw", "commit": "8e06b1b9d85aab65b40d43d08eec5ea4681ff715", "path": "vmod/rams/synth/nv_ram_rws_16x256.v", "sha256": "eecb43caa7d5daf725054087ce331c18116d958d56583bbce89a4a34befafebe"}} {"question": "For nv_ram_rws_16x256, a delay-targeted optimization suggests pipelining arithmetic and duplicating logic to cut fanout. Given how the module is actually structured, are these suggestions likely to help, and what does the delay optimization trade off?", "answer": "Structurally, nv_ram_rws_16x256 has 0 always blocks and 0 assign statements. It is mostly a wrapper that instantiates cells such as RAMDP_16X256_GL_M1_E2 and AN2D4PO4, so there is little arithmetic to pipeline and the gains from retiming or splitnets are probably limited. The delay-targeted recipe (synth, opt -fast, abc -fast, opt_clean) estimates a -20.0 delay change in exchange for +10.0 area and +5.0 power.", "source_file": "github_repos/nvdla_hw/vmod/rams/synth/nv_ram_rws_16x256.v", "module_name": "nv_ram_rws_16x256", "tool_name": "optimization_advisor+static_analyzer", "tool_parameters": [{"target_metric": "delay"}, {"analysis_type": "full"}], "tool_result": "[optimization_advisor {\"target_metric\": \"delay\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"delay\",\n \"recommended_recipes\": [\n \"synth -top nv_ram_rws_16x256\",\n \"opt -fast\",\n \"abc -fast -liberty stdcells.lib\",\n \"opt_clean\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"pipeline_insertion\",\n \"description\": \"Consider pipelining arithmetic operations\",\n \"command\": \"Use register retiming\"\n },\n {\n \"type\": \"logic_duplication\",\n \"description\": \"Duplicate logic to reduce fanout\",\n \"command\": \"splitnets -driver\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": 10.0,\n \"delay\": -20.0,\n \"power\": 5.0\n },\n \"trade_offs\": [\n \"Speed optimization increases area\",\n \"Higher power consumption\"\n ],\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"nv_ram_rws_16x256\",\n \"port_count\": {\n \"inputs\": 16,\n \"outputs\": 2,\n \"inouts\": 0,\n \"total\": 18\n },\n \"signal_count\": {\n \"wires\": 63,\n \"regs\": 7,\n \"parameters\": 1,\n \"total\": 70\n },\n \"always_blocks\": 0,\n \"assign_statements\": 0,\n \"instantiations\": [\n \"NV_BLKBOX_SRC0_X\",\n \"RANDFUNC\",\n \"AN2D4PO4\",\n \"NV_BLKBOX_SINK\",\n \"RAMDP_16X256_GL_M1_E2\",\n \"NV_BLKBOX_SRC0\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 842,\n \"total_lines\": 933,\n \"cyclomatic_complexity\": 16,\n \"nesting_depth\": 18,\n \"operator_count\": 602\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "category": "multi_tool", "subcategory": "optimization_advisor+static_analyzer", "difficulty": "compositional", "question_hash": "4788ce02a951", "stage1_target": "[{\"tool\": \"optimization_advisor\", \"parameters\": {\"target_metric\": \"delay\"}}, {\"tool\": \"static_analyzer\", \"parameters\": {\"analysis_type\": \"full\"}}]", "stage2_context": "Question: For nv_ram_rws_16x256, a delay-targeted optimization suggests pipelining arithmetic and duplicating logic to cut fanout. Given how the module is actually structured, are these suggestions likely to help, and what does the delay optimization trade off?\n\n[optimization_advisor {\"target_metric\": \"delay\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"delay\",\n \"recommended_recipes\": [\n \"synth -top nv_ram_rws_16x256\",\n \"opt -fast\",\n \"abc -fast -liberty stdcells.lib\",\n \"opt_clean\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"pipeline_insertion\",\n \"description\": \"Consider pipelining arithmetic operations\",\n \"command\": \"Use register retiming\"\n },\n {\n \"type\": \"logic_duplication\",\n \"description\": \"Duplicate logic to reduce fanout\",\n \"command\": \"splitnets -driver\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": 10.0,\n \"delay\": -20.0,\n \"power\": 5.0\n },\n \"trade_offs\": [\n \"Speed optimization increases area\",\n \"Higher power consumption\"\n ],\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"nv_ram_rws_16x256\",\n \"port_count\": {\n \"inputs\": 16,\n \"outputs\": 2,\n \"inouts\": 0,\n \"total\": 18\n },\n \"signal_count\": {\n \"wires\": 63,\n \"regs\": 7,\n \"parameters\": 1,\n \"total\": 70\n },\n \"always_blocks\": 0,\n \"assign_statements\": 0,\n \"instantiations\": [\n \"NV_BLKBOX_SRC0_X\",\n \"RANDFUNC\",\n \"AN2D4PO4\",\n \"NV_BLKBOX_SINK\",\n \"RAMDP_16X256_GL_M1_E2\",\n \"NV_BLKBOX_SRC0\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 842,\n \"total_lines\": 933,\n \"cyclomatic_complexity\": 16,\n \"nesting_depth\": 18,\n \"operator_count\": 602\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "plan_id": "fa6db3aeaceb", "design_id": "3486db9f78c0", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/nvdla/hw", "commit": "8e06b1b9d85aab65b40d43d08eec5ea4681ff715", "path": "vmod/rams/synth/nv_ram_rws_16x256.v", "sha256": "eecb43caa7d5daf725054087ce331c18116d958d56583bbce89a4a34befafebe"}} {"question": "For FP16_TO_FP17_mgc_in_wire_wait_v1, the area-targeted optimization plan promises about a 15% area reduction from mux sharing and aggressive resource sharing. Given what medium-effort synthesis actually produced for this module, is that estimate meaningful, or is the design already minimal?", "answer": "Medium-effort synthesis of FP16_TO_FP17_mgc_in_wire_wait_v1 produced 0 cells and an area of 0, leaving only 6 wires (20 wire bits) that are all port connections. That means the module is pure pass-through wiring. The area-targeted advice of an estimated -15.0 area change from steps like \"share -aggressive\" and \"muxcover; opt\" has no multiplexers or operators to act on, so the design is already minimal and the estimate is not meaningful here.", "source_file": "github_repos/nvdla_hw/vmod/vlibs/HLS_fp16_to_fp17.v", "module_name": "FP16_TO_FP17_mgc_in_wire_wait_v1", "tool_name": "optimization_advisor+synthesis_tool", "tool_parameters": [{"target_metric": "area"}, {"optimization_level": "medium"}], "tool_result": "[optimization_advisor {\"target_metric\": \"area\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"area\",\n \"recommended_recipes\": [\n \"synth -top FP16_TO_FP17_mgc_in_wire_wait_v1 -flatten\",\n \"opt -full; share -aggressive; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean -purge\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"mux_optimization\",\n \"description\": \"Share multiplexers where possible\",\n \"command\": \"muxcover; opt\"\n },\n {\n \"type\": \"resource_sharing\",\n \"description\": \"Share arithmetic operators\",\n \"command\": \"share -aggressive\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": -15.0,\n \"delay\": 5.0,\n \"power\": -10.0\n },\n \"trade_offs\": [\n \"Area optimization may increase delay\",\n \"Aggressive sharing increases routing complexity\"\n ],\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 0,\n \"delay\": 0.0,\n \"power\": 0.0,\n \"gate_count\": 0,\n \"cell_breakdown\": {},\n \"wire_count\": 6,\n \"wire_bits\": 20,\n \"critical_path_estimate\": 0.0,\n...[1044 chars elided]...\n \"error\": null\n}", "category": "multi_tool", "subcategory": "optimization_advisor+synthesis_tool", "difficulty": "compositional", "question_hash": "5d2ea83f30b5", "stage1_target": "[{\"tool\": \"optimization_advisor\", \"parameters\": {\"target_metric\": \"area\"}}, {\"tool\": \"synthesis_tool\", \"parameters\": {\"optimization_level\": \"medium\"}}]", "stage2_context": "Question: For FP16_TO_FP17_mgc_in_wire_wait_v1, the area-targeted optimization plan promises about a 15% area reduction from mux sharing and aggressive resource sharing. Given what medium-effort synthesis actually produced for this module, is that estimate meaningful, or is the design already minimal?\n\n[optimization_advisor {\"target_metric\": \"area\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"area\",\n \"recommended_recipes\": [\n \"synth -top FP16_TO_FP17_mgc_in_wire_wait_v1 -flatten\",\n \"opt -full; share -aggressive; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean -purge\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"mux_optimization\",\n \"description\": \"Share multiplexers where possible\",\n \"command\": \"muxcover; opt\"\n },\n {\n \"type\": \"resource_sharing\",\n \"description\": \"Share arithmetic operators\",\n \"command\": \"share -aggressive\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": -15.0,\n \"delay\": 5.0,\n \"power\": -10.0\n },\n \"trade_offs\": [\n \"Area optimization may increase delay\",\n \"Aggressive sharing increases routing complexity\"\n ],\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 0,\n \"delay\": 0.0,\n \"power\": 0.0,\n \"gate_count\": 0,\n \"cell_breakdown\": {},\n \"wire_count\": 6,\n \"wire_bits\": 20,\n \"critical_path_estimate\": 0.0,\n...[1044 chars elided]...\n \"error\": null\n}", "plan_id": "346a9b800790", "design_id": "356fafd22ca2", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/nvdla/hw", "commit": "8e06b1b9d85aab65b40d43d08eec5ea4681ff715", "path": "vmod/vlibs/HLS_fp16_to_fp17.v", "sha256": "8754276ed4e4afeff4fba22291c0bfd1d81c58bf01979d5b8a39bc80024637d7"}} {"question": "For NV_NVDLA_SDP_BRDMA_gate, the medium-effort synthesis gives a 7-gate netlist that includes a single NV_CLK_gate_power cell, and the area optimization plan includes aggressive operator sharing. Is that plan worth applying, given the estimated area change and its cost in delay?", "answer": "Probably not. Synthesis already reduces NV_NVDLA_SDP_BRDMA_gate to an area of 6.5 with a gate count of 7: one $_DFF_PN0_, two $_NAND_, one $_NOR_, one $_NOT_, one $_OR_ and one NV_CLK_gate_power, with no arithmetic operators to share. The area-targeted plan's 'share -aggressive' step therefore has little to act on, and its estimated area change of -15.0 comes with an estimated delay change of +5.0 on a critical path of 74.27, so the gain is likely small compared with the timing risk.", "source_file": "github_repos/nvdla_hw/vmod/nvdla/sdp/NV_NVDLA_SDP_BRDMA_gate.v", "module_name": "NV_NVDLA_SDP_BRDMA_gate", "tool_name": "optimization_advisor+synthesis_tool", "tool_parameters": [{"target_metric": "area"}, {"optimization_level": "medium"}], "tool_result": "[optimization_advisor {\"target_metric\": \"area\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"area\",\n \"recommended_recipes\": [\n \"synth -top NV_NVDLA_SDP_BRDMA_gate -flatten\",\n \"opt -full; share -aggressive; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean -purge\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"resource_sharing\",\n \"description\": \"Share arithmetic operators\",\n \"command\": \"share -aggressive\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": -15.0,\n \"delay\": 5.0,\n \"power\": -10.0\n },\n \"trade_offs\": [\n \"Area optimization may increase delay\",\n \"Aggressive sharing increases routing complexity\"\n ],\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 6.5,\n \"delay\": 74.27,\n \"power\": 0.007,\n \"gate_count\": 7,\n \"cell_breakdown\": {\n \"$_DFF_PN0_\": 1,\n \"$_NAND_\": 2,\n \"$_NOR_\": 1,\n \"$_NOT_\": 1,\n \"$_OR_\": 1,\n \"NV_CLK_gate_power\": 1\n },\n \"wire_count\": 14,\n \"wire_bits\": 14,\n \"critical_path_estimate\": 74.27,\n...[1193 chars elided]...\n \"error\": null\n}", "category": "multi_tool", "subcategory": "optimization_advisor+synthesis_tool", "difficulty": "compositional", "question_hash": "c2dd1b94596e", "stage1_target": "[{\"tool\": \"optimization_advisor\", \"parameters\": {\"target_metric\": \"area\"}}, {\"tool\": \"synthesis_tool\", \"parameters\": {\"optimization_level\": \"medium\"}}]", "stage2_context": "Question: For NV_NVDLA_SDP_BRDMA_gate, the medium-effort synthesis gives a 7-gate netlist that includes a single NV_CLK_gate_power cell, and the area optimization plan includes aggressive operator sharing. Is that plan worth applying, given the estimated area change and its cost in delay?\n\n[optimization_advisor {\"target_metric\": \"area\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"area\",\n \"recommended_recipes\": [\n \"synth -top NV_NVDLA_SDP_BRDMA_gate -flatten\",\n \"opt -full; share -aggressive; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean -purge\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"resource_sharing\",\n \"description\": \"Share arithmetic operators\",\n \"command\": \"share -aggressive\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": -15.0,\n \"delay\": 5.0,\n \"power\": -10.0\n },\n \"trade_offs\": [\n \"Area optimization may increase delay\",\n \"Aggressive sharing increases routing complexity\"\n ],\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 6.5,\n \"delay\": 74.27,\n \"power\": 0.007,\n \"gate_count\": 7,\n \"cell_breakdown\": {\n \"$_DFF_PN0_\": 1,\n \"$_NAND_\": 2,\n \"$_NOR_\": 1,\n \"$_NOT_\": 1,\n \"$_OR_\": 1,\n \"NV_CLK_gate_power\": 1\n },\n \"wire_count\": 14,\n \"wire_bits\": 14,\n \"critical_path_estimate\": 74.27,\n...[1193 chars elided]...\n \"error\": null\n}", "plan_id": "5649e616f89e", "design_id": "35c7d9ba5834", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/nvdla/hw", "commit": "8e06b1b9d85aab65b40d43d08eec5ea4681ff715", "path": "vmod/nvdla/sdp/NV_NVDLA_SDP_BRDMA_gate.v", "sha256": "b66b89bd127f0c8c36abb52cc97ee23dfe1b88446fbe87c56bfb3d09be752275"}} {"question": "For fp_format_cvt, the medium-effort synthesis gives 45 gates, mostly AND cells, plus the HLS conversion submodules it instantiates. The design also has fairly complex control logic. Is it worth applying the area-targeted optimization flow with aggressive operator sharing, and what does the flow claim to save?", "answer": "Medium-effort synthesis of fp_format_cvt gives an area of 68.0 with 45 gates, 29 of which are $_AND_ cells, and a delay of 197.73. The source has a cyclomatic complexity of 20, 5 always blocks and 30 assign statements, and it instantiates HLS_fp16_to_fp32, HLS_fp16_to_fp17 and HLS_uint16_to_fp17. The area-targeted flow uses 'share -aggressive' and 'muxcover' and estimates an area change of -15.0 and a power change of -10.0, but delay gets worse by 5.0, so it fits only if timing has slack beyond 197.73.", "source_file": "github_repos/nvdla_hw/vmod/nvdla/cdp/fp_format_cvt.v", "module_name": "fp_format_cvt", "tool_name": "optimization_advisor+static_analyzer+synthesis_tool", "tool_parameters": [{"target_metric": "area"}, {"analysis_type": "full"}, {"optimization_level": "medium"}], "tool_result": "[optimization_advisor {\"target_metric\": \"area\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"area\",\n \"recommended_recipes\": [\n \"synth -top fp_format_cvt -flatten\",\n \"opt -full; share -aggressive; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean -purge\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"mux_optimization\",\n \"description\": \"Share multiplexers where possible\",\n \"command\": \"muxcover; opt\"\n },\n {\n \"type\": \"resource_sharing\",\n \"description\": \"Share arithmetic operators\",\n \"command\": \"share -aggressive\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": -15.0,\n \"delay\": 5.0,\n \"power\": -10.0\n },\n \"trade_offs\": [\n \"Area optimization may increase delay\",\n \"Aggressive sharing increases routing complexity\"\n ],\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"fp_format_cvt\",\n \"port_count\": {\n \"inputs\": 17,\n \"outputs\": 14,\n \"inouts\": 0,\n \"total\": 31\n },\n \"signal_count\": {\n \"wires\": 31,\n \"regs\": 7,\n \"parameters\": 0,\n \"total\": 38\n },\n \"always_blocks\": 5,\n \"assign_statements\": 30,\n \"instantiations\": [\n \"HLS_uint16_to_fp17\",\n \"define\",\n \"HLS_fp16_to_fp17\",\n \"HLS_fp16_to_fp32\",\n \"FP_FORMAT_CVT_pipe_p1\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 281,\n \"total_lines\": 432,\n \"cyclomatic_complexity\": 20,\n \"nesting_depth\": 7,\n \"operator_count\": 1405\n },\n \"lint_warnings\": [],\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 68.0,\n \"delay\": 197.73,\n \"power\": 0.045,\n \"gate_count\": 45,\n \"cell_breakdown\": {\n \"$_AND_\": 29,\n \"$_DFFE_PP_\": 6,\n \"$_DFF_PN0_\": 1,\n \"$_NOT_\": 1,\n \"$_ORNOT_\": 1,\n \"$_OR_\": 1,\n \"HLS_fp16_to_fp17\": 1,\n \"HLS_fp16_to_fp32\": 2,\n\n...[1780 chars elided]...\n \"error\": null\n}", "category": "multi_tool", "subcategory": "optimization_advisor+static_analyzer+synthesis_tool", "difficulty": "compositional", "question_hash": "eb114f914337", "stage1_target": "[{\"tool\": \"optimization_advisor\", \"parameters\": {\"target_metric\": \"area\"}}, {\"tool\": \"static_analyzer\", \"parameters\": {\"analysis_type\": \"full\"}}, {\"tool\": \"synthesis_tool\", \"parameters\": {\"optimization_level\": \"medium\"}}]", "stage2_context": "Question: For fp_format_cvt, the medium-effort synthesis gives 45 gates, mostly AND cells, plus the HLS conversion submodules it instantiates. The design also has fairly complex control logic. Is it worth applying the area-targeted optimization flow with aggressive operator sharing, and what does the flow claim to save?\n\n[optimization_advisor {\"target_metric\": \"area\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"area\",\n \"recommended_recipes\": [\n \"synth -top fp_format_cvt -flatten\",\n \"opt -full; share -aggressive; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean -purge\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"mux_optimization\",\n \"description\": \"Share multiplexers where possible\",\n \"command\": \"muxcover; opt\"\n },\n {\n \"type\": \"resource_sharing\",\n \"description\": \"Share arithmetic operators\",\n \"command\": \"share -aggressive\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": -15.0,\n \"delay\": 5.0,\n \"power\": -10.0\n },\n \"trade_offs\": [\n \"Area optimization may increase delay\",\n \"Aggressive sharing increases routing complexity\"\n ],\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"fp_format_cvt\",\n \"port_count\": {\n \"inputs\": 17,\n \"outputs\": 14,\n \"inouts\": 0,\n \"total\": 31\n },\n \"signal_count\": {\n \"wires\": 31,\n \"regs\": 7,\n \"parameters\": 0,\n \"total\": 38\n },\n \"always_blocks\": 5,\n \"assign_statements\": 30,\n \"instantiations\": [\n \"HLS_uint16_to_fp17\",\n \"define\",\n \"HLS_fp16_to_fp17\",\n \"HLS_fp16_to_fp32\",\n \"FP_FORMAT_CVT_pipe_p1\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 281,\n \"total_lines\": 432,\n \"cyclomatic_complexity\": 20,\n \"nesting_depth\": 7,\n \"operator_count\": 1405\n },\n \"lint_warnings\": [],\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 68.0,\n \"delay\": 197.73,\n \"power\": 0.045,\n \"gate_count\": 45,\n \"cell_breakdown\": {\n \"$_AND_\": 29,\n \"$_DFFE_PP_\": 6,\n \"$_DFF_PN0_\": 1,\n \"$_NOT_\": 1,\n \"$_ORNOT_\": 1,\n \"$_OR_\": 1,\n \"HLS_fp16_to_fp17\": 1,\n \"HLS_fp16_to_fp32\": 2,\n\n...[1780 chars elided]...\n \"error\": null\n}", "plan_id": "12eefa694477", "design_id": "37aaec7ab6eb", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 3, "ctx_cap": 3300, "source": {"repository": "https://github.com/nvdla/hw", "commit": "8e06b1b9d85aab65b40d43d08eec5ea4681ff715", "path": "vmod/nvdla/cdp/fp_format_cvt.v", "sha256": "9e4a9d30e5bd25c7c7da1a20aa83856178c7f6f301adb406b1dd0120175e1911"}} {"question": "For the gcd module, synthesizing at medium optimization gives a certain area, gate count, and number of DFF_X1 flip-flops. If I then apply the area-targeted optimization recipe with aggressive operator sharing, what area change should I expect, and what does it cost in delay?", "answer": "At medium optimization, gcd synthesizes to an area of 294.0 with 294 gates, 34 of which are DFF_X1 cells, and a delay of 275.09. The area-targeted recipe, which includes 'share -aggressive' to share arithmetic operators, is estimated to change area by -15.0 and delay by 5.0. That means accepting a slower critical path and more complex routing.", "source_file": "github_repos/The-OpenROAD-Project_OpenROAD/src/gpl/test/design/nangate45/gcd/gcd.v", "module_name": "gcd", "tool_name": "optimization_advisor+synthesis_tool", "tool_parameters": [{"target_metric": "area"}, {"optimization_level": "medium"}], "tool_result": "[optimization_advisor {\"target_metric\": \"area\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"area\",\n \"recommended_recipes\": [\n \"synth -top gcd -flatten\",\n \"opt -full; share -aggressive; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean -purge\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"resource_sharing\",\n \"description\": \"Share arithmetic operators\",\n \"command\": \"share -aggressive\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": -15.0,\n \"delay\": 5.0,\n \"power\": -10.0\n },\n \"trade_offs\": [\n \"Area optimization may increase delay\",\n \"Aggressive sharing increases routing complexity\"\n ],\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 294.0,\n \"delay\": 275.09,\n \"power\": 0.294,\n \"gate_count\": 294,\n \"cell_breakdown\": {\n \"AND2_X1\": 5,\n \"AND2_X4\": 2,\n \"AND3_X1\": 2,\n \"AND4_X1\": 3,\n \"AOI211_X1\": 1,\n \"AOI21_X1\": 14,\n \"AOI21_X4\": 1,\n \"AOI221_X1\": 5,\n \"AOI221_X2\": 5,\n \"AOI221_X4\": 8,\n \"AOI22_X1\": 14,\n \"BUF_X4\": 7,\n \"BUF_X8\": 1,\n \"DFF_X1\": 34,\n \"INV_X1\": 24,\n \"INV_X16\": 3,\n \"INV_X2\": 1\n...[1910 chars elided]...\n \"error\": null\n}", "category": "multi_tool", "subcategory": "optimization_advisor+synthesis_tool", "difficulty": "compositional", "question_hash": "7ee75089a4ac", "stage1_target": "[{\"tool\": \"optimization_advisor\", \"parameters\": {\"target_metric\": \"area\"}}, {\"tool\": \"synthesis_tool\", \"parameters\": {\"optimization_level\": \"medium\"}}]", "stage2_context": "Question: For the gcd module, synthesizing at medium optimization gives a certain area, gate count, and number of DFF_X1 flip-flops. If I then apply the area-targeted optimization recipe with aggressive operator sharing, what area change should I expect, and what does it cost in delay?\n\n[optimization_advisor {\"target_metric\": \"area\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"area\",\n \"recommended_recipes\": [\n \"synth -top gcd -flatten\",\n \"opt -full; share -aggressive; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean -purge\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"resource_sharing\",\n \"description\": \"Share arithmetic operators\",\n \"command\": \"share -aggressive\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": -15.0,\n \"delay\": 5.0,\n \"power\": -10.0\n },\n \"trade_offs\": [\n \"Area optimization may increase delay\",\n \"Aggressive sharing increases routing complexity\"\n ],\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 294.0,\n \"delay\": 275.09,\n \"power\": 0.294,\n \"gate_count\": 294,\n \"cell_breakdown\": {\n \"AND2_X1\": 5,\n \"AND2_X4\": 2,\n \"AND3_X1\": 2,\n \"AND4_X1\": 3,\n \"AOI211_X1\": 1,\n \"AOI21_X1\": 14,\n \"AOI21_X4\": 1,\n \"AOI221_X1\": 5,\n \"AOI221_X2\": 5,\n \"AOI221_X4\": 8,\n \"AOI22_X1\": 14,\n \"BUF_X4\": 7,\n \"BUF_X8\": 1,\n \"DFF_X1\": 34,\n \"INV_X1\": 24,\n \"INV_X16\": 3,\n \"INV_X2\": 1\n...[1910 chars elided]...\n \"error\": null\n}", "plan_id": "affd23cf9779", "design_id": "37b17d3f0a0a", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/The-OpenROAD-Project/OpenROAD", "commit": "3e3e483a4e3f98e2b5470b272040699de6dedbee", "path": "src/gpl/test/design/nangate45/gcd/gcd.v", "sha256": "8c258dc444b20b8a4e6ae86dbe488bc741d957691a03cd7ac9c4a86297f17116"}} {"question": "For memory_nangate45, after medium-effort synthesis, does the RTL-to-netlist signal correspondence agree with what the synthesized netlist actually contains? Specifically, how many RTL signals mapped to netlist wires and what was the alignment score, and how does that match the netlist's wire count, cell makeup, and estimated critical-path delay?", "answer": "7 of the 8 RTL signals in memory_nangate45 map to netlist wires, giving an alignment score of 87.5. The one unmapped element is the generic 'wire'. This matches the synthesized netlist, which has 7 wires (30 wire bits) and a single fakeram45_64x7 macro cell with an estimated critical-path delay of 50.0.", "source_file": "github_repos/The-OpenROAD-Project_OpenROAD/src/rmp/test/memory_nangate45.v", "module_name": "memory_nangate45", "tool_name": "cross_stage_mapper+synthesis_tool", "tool_parameters": [{}, {"optimization_level": "medium"}], "tool_result": "[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"addr_i\": [\n \"addr_i\"\n ],\n \"clk_i\": [\n \"clk_i\"\n ],\n \"we_i\": [\n \"we_i\"\n ],\n \"wire\": [],\n \"ce_i\": [\n \"ce_i\"\n ],\n \"d_i\": [\n \"d_i\"\n ],\n \"d_o\": [\n \"d_o\"\n ],\n \"wmask_i\": [\n \"wmask_i\"\n ]\n },\n \"alignment_score\": 87.5,\n \"unmapped_elements\": [\n \"wire\"\n ],\n \"mapping_statistics\": {\n \"rtl_signals\": 8,\n \"netlist_wires\": 7,\n \"netlist_cells\": 0,\n \"mapped_signals\": 7,\n \"unmapped_signals\": 1\n },\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 1.0,\n \"delay\": 50.0,\n \"power\": 0.001,\n \"gate_count\": 1,\n \"cell_breakdown\": {\n \"fakeram45_64x7\": 1\n },\n \"wire_count\": 7,\n \"wire_bits\": 30,\n \"critical_path_estimate\": 50.0,\n...[1077 chars elided]...\n \"error\": null\n}", "category": "multi_tool", "subcategory": "cross_stage_mapper+synthesis_tool", "difficulty": "compositional", "question_hash": "a01e06c5bee2", "stage1_target": "[{\"tool\": \"cross_stage_mapper\", \"parameters\": {}}, {\"tool\": \"synthesis_tool\", \"parameters\": {\"optimization_level\": \"medium\"}}]", "stage2_context": "Question: For memory_nangate45, after medium-effort synthesis, does the RTL-to-netlist signal correspondence agree with what the synthesized netlist actually contains? Specifically, how many RTL signals mapped to netlist wires and what was the alignment score, and how does that match the netlist's wire count, cell makeup, and estimated critical-path delay?\n\n[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"addr_i\": [\n \"addr_i\"\n ],\n \"clk_i\": [\n \"clk_i\"\n ],\n \"we_i\": [\n \"we_i\"\n ],\n \"wire\": [],\n \"ce_i\": [\n \"ce_i\"\n ],\n \"d_i\": [\n \"d_i\"\n ],\n \"d_o\": [\n \"d_o\"\n ],\n \"wmask_i\": [\n \"wmask_i\"\n ]\n },\n \"alignment_score\": 87.5,\n \"unmapped_elements\": [\n \"wire\"\n ],\n \"mapping_statistics\": {\n \"rtl_signals\": 8,\n \"netlist_wires\": 7,\n \"netlist_cells\": 0,\n \"mapped_signals\": 7,\n \"unmapped_signals\": 1\n },\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 1.0,\n \"delay\": 50.0,\n \"power\": 0.001,\n \"gate_count\": 1,\n \"cell_breakdown\": {\n \"fakeram45_64x7\": 1\n },\n \"wire_count\": 7,\n \"wire_bits\": 30,\n \"critical_path_estimate\": 50.0,\n...[1077 chars elided]...\n \"error\": null\n}", "plan_id": "29bc2ca081ff", "design_id": "37bece1754ac", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/The-OpenROAD-Project/OpenROAD", "commit": "3e3e483a4e3f98e2b5470b272040699de6dedbee", "path": "src/rmp/test/memory_nangate45.v", "sha256": "3be1aac70b9752c93fac84693cac6cb01f90989ecd7c57b4ea8f769e21154969"}} {"question": "NV_NVDLA_MCIF_write is a purely structural wrapper with no always blocks or assign statements, just three submodule instances. Given that structure, how much can I realistically expect from the proposed area optimization flow with aggressive resource sharing, and what are the trade-offs?", "answer": "NV_NVDLA_MCIF_write has 0 always blocks and 0 assign statements, and it only instantiates NV_NVDLA_MCIF_WRITE_ig, NV_NVDLA_MCIF_WRITE_eg and NV_NVDLA_MCIF_WRITE_cq. Any area gain from the recommended \"share -aggressive\" flow (estimated area -15.0, power -10.0) would therefore have to come after flattening with \"synth -top NV_NVDLA_MCIF_write -flatten\" exposes the submodule logic, since the wrapper itself has no operators to share. That gain comes with an estimated delay penalty of 5.0 and more routing complexity.", "source_file": "github_repos/nvdla_hw/vmod/nvdla/nocif/NV_NVDLA_MCIF_write.v", "module_name": "NV_NVDLA_MCIF_write", "tool_name": "optimization_advisor+static_analyzer", "tool_parameters": [{"target_metric": "area"}, {"analysis_type": "full"}], "tool_result": "[optimization_advisor {\"target_metric\": \"area\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"area\",\n \"recommended_recipes\": [\n \"synth -top NV_NVDLA_MCIF_write -flatten\",\n \"opt -full; share -aggressive; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean -purge\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"resource_sharing\",\n \"description\": \"Share arithmetic operators\",\n \"command\": \"share -aggressive\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": -15.0,\n \"delay\": 5.0,\n \"power\": -10.0\n },\n \"trade_offs\": [\n \"Area optimization may increase delay\",\n \"Aggressive sharing increases routing complexity\"\n ],\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"NV_NVDLA_MCIF_write\",\n \"port_count\": {\n \"inputs\": 23,\n \"outputs\": 19,\n \"inouts\": 0,\n \"total\": 42\n },\n \"signal_count\": {\n \"wires\": 21,\n \"regs\": 0,\n \"parameters\": 0,\n \"total\": 21\n },\n \"always_blocks\": 0,\n \"assign_statements\": 0,\n \"instantiations\": [\n \"NV_NVDLA_MCIF_WRITE_ig\",\n \"NV_NVDLA_MCIF_WRITE_eg\",\n \"NV_NVDLA_MCIF_WRITE_cq\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 203,\n \"total_lines\": 254,\n \"cyclomatic_complexity\": 2,\n \"nesting_depth\": 0,\n \"operator_count\": 795\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "category": "multi_tool", "subcategory": "optimization_advisor+static_analyzer", "difficulty": "compositional", "question_hash": "3b4975cc1352", "stage1_target": "[{\"tool\": \"optimization_advisor\", \"parameters\": {\"target_metric\": \"area\"}}, {\"tool\": \"static_analyzer\", \"parameters\": {\"analysis_type\": \"full\"}}]", "stage2_context": "Question: NV_NVDLA_MCIF_write is a purely structural wrapper with no always blocks or assign statements, just three submodule instances. Given that structure, how much can I realistically expect from the proposed area optimization flow with aggressive resource sharing, and what are the trade-offs?\n\n[optimization_advisor {\"target_metric\": \"area\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"area\",\n \"recommended_recipes\": [\n \"synth -top NV_NVDLA_MCIF_write -flatten\",\n \"opt -full; share -aggressive; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean -purge\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"resource_sharing\",\n \"description\": \"Share arithmetic operators\",\n \"command\": \"share -aggressive\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": -15.0,\n \"delay\": 5.0,\n \"power\": -10.0\n },\n \"trade_offs\": [\n \"Area optimization may increase delay\",\n \"Aggressive sharing increases routing complexity\"\n ],\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"NV_NVDLA_MCIF_write\",\n \"port_count\": {\n \"inputs\": 23,\n \"outputs\": 19,\n \"inouts\": 0,\n \"total\": 42\n },\n \"signal_count\": {\n \"wires\": 21,\n \"regs\": 0,\n \"parameters\": 0,\n \"total\": 21\n },\n \"always_blocks\": 0,\n \"assign_statements\": 0,\n \"instantiations\": [\n \"NV_NVDLA_MCIF_WRITE_ig\",\n \"NV_NVDLA_MCIF_WRITE_eg\",\n \"NV_NVDLA_MCIF_WRITE_cq\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 203,\n \"total_lines\": 254,\n \"cyclomatic_complexity\": 2,\n \"nesting_depth\": 0,\n \"operator_count\": 795\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "plan_id": "e7b9e7358bfe", "design_id": "37db0125a04e", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/nvdla/hw", "commit": "8e06b1b9d85aab65b40d43d08eec5ea4681ff715", "path": "vmod/nvdla/nocif/NV_NVDLA_MCIF_write.v", "sha256": "d74d865529a2a1fed47c8f62299694db3dcad42c60860ba8de5c01e5193f0a9a"}} {"question": "For tcm_mem, how do the register cells in the CDFG compare with the flip-flops left after medium-effort synthesis, and how much does that sequential logic matter next to the combinational gates in the area and delay results?", "answer": "The CDFG for tcm_mem has 74 nodes, and its registers are 4 $adff cells and 1 $adffe cell. After medium-effort synthesis these become 11 $_DFFE_PP0P_, 3 $_DFF_PP0_ and 1 $_DFF_PP1_ flip-flops. They are a small part of the 182-cell netlist, which is mostly 101 $_NAND_ and 50 $_ORNOT_ gates, with an area of 207.5 and a critical-path delay of 223.04.", "source_file": "github_repos/ultraembedded_riscv/top_tcm_axi/src_v/tcm_mem.v", "module_name": "tcm_mem", "tool_name": "graph_extractor+synthesis_tool", "tool_parameters": [{"graph_type": "CDFG"}, {"optimization_level": "medium"}], "tool_result": "[graph_extractor {\"graph_type\": \"CDFG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"CDFG\",\n...[38354 chars elided]...\n \"node_count\": 74,\n \"edge_count\": 705,\n \"graph_properties\": {\n \"node_types\": {\n \"$mux\": 6,\n \"$logic_and\": 2,\n \"$logic_or\": 5,\n \"$reduce_bool\": 2,\n \"$logic_not\": 1,\n \"$adffe\": 1,\n \"$adff\": 4,\n \"tcm_mem_pmem\": 1,\n \"tcm_mem_ram\": 1,\n \"port_input\": 31,\n \"port_output\": 20\n },\n \"avg_degree\": 9.53,\n \"module_name\": \"tcm_mem\"\n },\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 207.5,\n \"delay\": 223.04,\n \"power\": 0.182,\n \"gate_count\": 182,\n \"cell_breakdown\": {\n \"$_ANDNOT_\": 2,\n \"$_AND_\": 5,\n \"$_DFFE_PP0P_\": 11,\n \"$_DFF_PP0_\": 3,\n \"$_DFF_PP1_\": 1,\n \"$_NAND_\": 101,\n \"$_NOR_\": 6,\n \"$_NOT_\": 1,\n \"$_ORNOT_\": 50,\n \"tcm_mem_pmem\": 1,\n \"tcm_mem_ram\": 1\n },\n \"wire_count\": 182,\n \"wire_bits\": 708,\n \"critical_path_estimate\": 223.04,\n \"synthesi\n...[1329 chars elided]...\n \"error\": null\n}", "category": "multi_tool", "subcategory": "graph_extractor+synthesis_tool", "difficulty": "compositional", "question_hash": "428b1df2d9da", "stage1_target": "[{\"tool\": \"graph_extractor\", \"parameters\": {\"graph_type\": \"CDFG\"}}, {\"tool\": \"synthesis_tool\", \"parameters\": {\"optimization_level\": \"medium\"}}]", "stage2_context": "Question: For tcm_mem, how do the register cells in the CDFG compare with the flip-flops left after medium-effort synthesis, and how much does that sequential logic matter next to the combinational gates in the area and delay results?\n\n[graph_extractor {\"graph_type\": \"CDFG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"CDFG\",\n...[38354 chars elided]...\n \"node_count\": 74,\n \"edge_count\": 705,\n \"graph_properties\": {\n \"node_types\": {\n \"$mux\": 6,\n \"$logic_and\": 2,\n \"$logic_or\": 5,\n \"$reduce_bool\": 2,\n \"$logic_not\": 1,\n \"$adffe\": 1,\n \"$adff\": 4,\n \"tcm_mem_pmem\": 1,\n \"tcm_mem_ram\": 1,\n \"port_input\": 31,\n \"port_output\": 20\n },\n \"avg_degree\": 9.53,\n \"module_name\": \"tcm_mem\"\n },\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 207.5,\n \"delay\": 223.04,\n \"power\": 0.182,\n \"gate_count\": 182,\n \"cell_breakdown\": {\n \"$_ANDNOT_\": 2,\n \"$_AND_\": 5,\n \"$_DFFE_PP0P_\": 11,\n \"$_DFF_PP0_\": 3,\n \"$_DFF_PP1_\": 1,\n \"$_NAND_\": 101,\n \"$_NOR_\": 6,\n \"$_NOT_\": 1,\n \"$_ORNOT_\": 50,\n \"tcm_mem_pmem\": 1,\n \"tcm_mem_ram\": 1\n },\n \"wire_count\": 182,\n \"wire_bits\": 708,\n \"critical_path_estimate\": 223.04,\n \"synthesi\n...[1329 chars elided]...\n \"error\": null\n}", "plan_id": "0a3c735a07ad", "design_id": "3b7f483af027", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/ultraembedded/riscv", "commit": "7ae6f803e30f78c6ea3121e73c3adf50ff912730", "path": "top_tcm_axi/src_v/tcm_mem.v", "sha256": "960e745a4c9ff4c48b7114070d90c54cd415e6a4cc8ab12dffb6100ae4b15504"}} {"question": "For NV_NVDLA_PDP_nan, the RTL has 24 regs and 11 always blocks, yet many of its NaN/Inf counters and pipeline signals don't show up in the netlist after synthesis. How well does the RTL line up with the netlist, and do the code's complexity and lint results point to a design problem or to logic being optimized away?", "answer": "The RTL-to-netlist alignment score for NV_NVDLA_PDP_nan is only 57.81, with 37 of 64 RTL signals mapped and 27 unmapped (for example dp2reg_nan_input_num, inf_in_count and the nan_preproc_pd1/pd3 registers). The static analysis found no lint warnings, but it reports 24 regs, 11 always blocks and a cyclomatic complexity of 91. That points to monitor/coverage logic and intermediate pipeline registers being optimized away or renamed during synthesis, not to a coding defect.", "source_file": "github_repos/nvdla_hw/vmod/nvdla/pdp/NV_NVDLA_PDP_nan.v", "module_name": "NV_NVDLA_PDP_nan", "tool_name": "cross_stage_mapper+static_analyzer", "tool_parameters": [{}, {"analysis_type": "full"}], "tool_result": "[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"wdma_layer_flag\": [],\n \"nan_in_num1\": [],\n \"fp16_in_pd_3\": [\n \"fp16_in_pd_3\"\n ],\n \"dp2reg_inf_input_num\": [],\n \"mon_nan_in_count\": [],\n \"inf_num_in_8byte_d1\": [],\n \"nan_num_in_8byte_d1\": [],\n \"waiting_for_op_en\": [],\n \"nvdla_core_clk\": [\n \"nvdla_core_clk\"\n ],\n \"pdp_rdma2dp_valid\": [\n \"pdp_rdma2dp_valid\"\n ],\n \"load_din\": \n...[2306 chars elided]...\np16_in_pd_0\": [\n \"fp16_in_pd_0\"\n ],\n \"nan_preproc_pd0\": [],\n \"cube_end\": [\n \"cube_end\"\n ],\n \"op_en_load\": [\n \"op_en_load\"\n ],\n \"side\": [],\n \"NaN\": []\n },\n \"alignment_score\": 57.81,\n \"unmapped_elements\": [\n \"wdma_layer_flag\",\n \"nan_in_num1\",\n \"dp2reg_inf_input_num\",\n \"mon_nan_in_count\",\n \"inf_num_in_8byte_d1\",\n \"nan_num_in_8byte_d1\",\n \"waiting_for_op_en\",\n \"din_pvld_d1\",\n \"nan_preproc_pd1\",\n \"layer_flag\",\n \"dp2reg_nan_input_num\",\n \"inf_in_count\",\n \"onfly_en\",\n \"nan_preproc_pd3\",\n \"inf_in_num0\",\n \"inf_in_num1\",\n \"mon_inf_in_count\",\n \"nan_in_num0\",\n \"datin_info_d\",\n \"funcpoint_cover_off\"\n ],\n \"mapping_statistics\": {\n \"rtl_signals\": 64,\n \"netlist_wires\": 1757,\n \"netlist_cells\": 0,\n \"mapped_signals\": 37,\n \"unmapped_signals\": 27\n },\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"NV_NVDLA_PDP_nan\",\n \"port_count\": {\n \"inputs\": 13,\n \"outputs\": 7,\n \"inouts\": 0,\n \"total\": 20\n },\n \"signal_count\": {\n \"wires\": 23,\n \"regs\": 24,\n \"parameters\": 0,\n \"total\": 47\n },\n \"always_blocks\": 11,\n \"assign_statements\": 34,\n \"instantiations\": [\n \"define\",\n \"cover\",\n \"disable\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 383,\n \"total_lines\": 583,\n \"cyclomatic_complexity\": 91,\n \"nesting_depth\": 57,\n \"operator_count\": 1542\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "category": "multi_tool", "subcategory": "cross_stage_mapper+static_analyzer", "difficulty": "compositional", "question_hash": "7fdce7f48d56", "stage1_target": "[{\"tool\": \"cross_stage_mapper\", \"parameters\": {}}, {\"tool\": \"static_analyzer\", \"parameters\": {\"analysis_type\": \"full\"}}]", "stage2_context": "Question: For NV_NVDLA_PDP_nan, the RTL has 24 regs and 11 always blocks, yet many of its NaN/Inf counters and pipeline signals don't show up in the netlist after synthesis. How well does the RTL line up with the netlist, and do the code's complexity and lint results point to a design problem or to logic being optimized away?\n\n[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"wdma_layer_flag\": [],\n \"nan_in_num1\": [],\n \"fp16_in_pd_3\": [\n \"fp16_in_pd_3\"\n ],\n \"dp2reg_inf_input_num\": [],\n \"mon_nan_in_count\": [],\n \"inf_num_in_8byte_d1\": [],\n \"nan_num_in_8byte_d1\": [],\n \"waiting_for_op_en\": [],\n \"nvdla_core_clk\": [\n \"nvdla_core_clk\"\n ],\n \"pdp_rdma2dp_valid\": [\n \"pdp_rdma2dp_valid\"\n ],\n \"load_din\": \n...[2306 chars elided]...\np16_in_pd_0\": [\n \"fp16_in_pd_0\"\n ],\n \"nan_preproc_pd0\": [],\n \"cube_end\": [\n \"cube_end\"\n ],\n \"op_en_load\": [\n \"op_en_load\"\n ],\n \"side\": [],\n \"NaN\": []\n },\n \"alignment_score\": 57.81,\n \"unmapped_elements\": [\n \"wdma_layer_flag\",\n \"nan_in_num1\",\n \"dp2reg_inf_input_num\",\n \"mon_nan_in_count\",\n \"inf_num_in_8byte_d1\",\n \"nan_num_in_8byte_d1\",\n \"waiting_for_op_en\",\n \"din_pvld_d1\",\n \"nan_preproc_pd1\",\n \"layer_flag\",\n \"dp2reg_nan_input_num\",\n \"inf_in_count\",\n \"onfly_en\",\n \"nan_preproc_pd3\",\n \"inf_in_num0\",\n \"inf_in_num1\",\n \"mon_inf_in_count\",\n \"nan_in_num0\",\n \"datin_info_d\",\n \"funcpoint_cover_off\"\n ],\n \"mapping_statistics\": {\n \"rtl_signals\": 64,\n \"netlist_wires\": 1757,\n \"netlist_cells\": 0,\n \"mapped_signals\": 37,\n \"unmapped_signals\": 27\n },\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"NV_NVDLA_PDP_nan\",\n \"port_count\": {\n \"inputs\": 13,\n \"outputs\": 7,\n \"inouts\": 0,\n \"total\": 20\n },\n \"signal_count\": {\n \"wires\": 23,\n \"regs\": 24,\n \"parameters\": 0,\n \"total\": 47\n },\n \"always_blocks\": 11,\n \"assign_statements\": 34,\n \"instantiations\": [\n \"define\",\n \"cover\",\n \"disable\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 383,\n \"total_lines\": 583,\n \"cyclomatic_complexity\": 91,\n \"nesting_depth\": 57,\n \"operator_count\": 1542\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "plan_id": "9c25b99cac37", "design_id": "3d554c0eea75", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/nvdla/hw", "commit": "8e06b1b9d85aab65b40d43d08eec5ea4681ff715", "path": "vmod/nvdla/pdp/NV_NVDLA_PDP_nan.v", "sha256": "23e4013fddd4ffdd4acae040f5c277874386205c7a9dcc3df9712ab656a1e289"}} {"question": "For NV_NVDLA_PDP_nan, the CDFG shows 16 $mux nodes and 8 $add nodes, and there's an area-targeted optimization plan that suggests mux sharing and aggressive operator sharing. Given the current medium-effort synthesis result, how much area reduction does that plan estimate, what delay penalty does it carry, and is sharing likely to matter much when the cell mix is mostly flip-flops?", "answer": "The CDFG for NV_NVDLA_PDP_nan has 16 $mux and 8 $add nodes along with 20 $adffe registers, and the area-targeted plan (\"muxcover; opt\" plus \"share -aggressive\") estimates an area change of -15.0 with a delay change of +5.0. Measured against the medium synthesis result of 1058.0 area and 383.29 delay, the gain is probably small: 342 of the cells are $_DFFE_PN0P_ flip-flops, and sharing logic can't reduce those.", "source_file": "github_repos/nvdla_hw/vmod/nvdla/pdp/NV_NVDLA_PDP_nan.v", "module_name": "NV_NVDLA_PDP_nan", "tool_name": "graph_extractor+optimization_advisor+synthesis_tool", "tool_parameters": [{"graph_type": "CDFG"}, {"target_metric": "area"}, {"optimization_level": "medium"}], "tool_result": "[graph_extractor {\"graph_type\": \"CDFG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"CDFG\",\n...[60513 chars elided]...\n \"node_count\": 108,\n \"edge_count\": 1725,\n \"graph_properties\": {\n \"node_types\": {\n \"$and\": 24,\n \"$not\": 9,\n \"$or\": 1,\n \"$eq\": 1,\n \"$reduce_and\": 7,\n \"$reduce_or\": 4,\n \"$mux\": 16,\n \"$add\": 8,\n \"$adffe\": 20,\n \"$reduce_bool\": 2,\n \"$adff\": 1,\n \"port_input\": 10,\n \"port_output\": 5\n },\n \"avg_degree\": 15.97,\n \"module_name\": \"NV_NVDLA_PDP_nan\"\n },\n \"error\": null\n}\n\n[optimization_advisor {\"target_metric\": \"area\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"area\",\n \"recommended_recipes\": [\n \"synth -top NV_NVDLA_PDP_nan -flatten\",\n \"opt -full; share -aggressive; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean -purge\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"mux_optimization\",\n \"description\": \"Share multiplexers where possible\",\n \"command\": \"muxcover; opt\"\n },\n {\n \"type\": \"resource_sharing\",\n \"description\": \"Share arithmetic operators\",\n \"command\": \"share -aggressive\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": -15.0,\n \"delay\": 5.0,\n \"power\": -10.0\n },\n \"trade_offs\": [\n \"Area optimization may increase delay\",\n \"Aggressive sharing increases routing complexity\"\n ],\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 1058.0,\n \"delay\": 383.29,\n \"power\": 0.986,\n \"gate_count\": 986,\n \"cell_breakdown\": {\n \"$_ANDNOT_\": 61,\n \"$_AND_\": 195,\n \"$_DFFE_PN0P_\": 342,\n \"$_DFFE_PN1P_\": 1,\n \"$_DFF_PN0_\": 1,\n \"$_NAND_\": 154,\n \"$_NOR_\": 144,\n \"$_NOT_\": 5\n...[1799 chars elided]...\n \"error\": null\n}", "category": "multi_tool", "subcategory": "graph_extractor+optimization_advisor+synthesis_tool", "difficulty": "compositional", "question_hash": "a55b076789cf", "stage1_target": "[{\"tool\": \"graph_extractor\", \"parameters\": {\"graph_type\": \"CDFG\"}}, {\"tool\": \"optimization_advisor\", \"parameters\": {\"target_metric\": \"area\"}}, {\"tool\": \"synthesis_tool\", \"parameters\": {\"optimization_level\": \"medium\"}}]", "stage2_context": "Question: For NV_NVDLA_PDP_nan, the CDFG shows 16 $mux nodes and 8 $add nodes, and there's an area-targeted optimization plan that suggests mux sharing and aggressive operator sharing. Given the current medium-effort synthesis result, how much area reduction does that plan estimate, what delay penalty does it carry, and is sharing likely to matter much when the cell mix is mostly flip-flops?\n\n[graph_extractor {\"graph_type\": \"CDFG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"CDFG\",\n...[60513 chars elided]...\n \"node_count\": 108,\n \"edge_count\": 1725,\n \"graph_properties\": {\n \"node_types\": {\n \"$and\": 24,\n \"$not\": 9,\n \"$or\": 1,\n \"$eq\": 1,\n \"$reduce_and\": 7,\n \"$reduce_or\": 4,\n \"$mux\": 16,\n \"$add\": 8,\n \"$adffe\": 20,\n \"$reduce_bool\": 2,\n \"$adff\": 1,\n \"port_input\": 10,\n \"port_output\": 5\n },\n \"avg_degree\": 15.97,\n \"module_name\": \"NV_NVDLA_PDP_nan\"\n },\n \"error\": null\n}\n\n[optimization_advisor {\"target_metric\": \"area\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"area\",\n \"recommended_recipes\": [\n \"synth -top NV_NVDLA_PDP_nan -flatten\",\n \"opt -full; share -aggressive; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean -purge\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"mux_optimization\",\n \"description\": \"Share multiplexers where possible\",\n \"command\": \"muxcover; opt\"\n },\n {\n \"type\": \"resource_sharing\",\n \"description\": \"Share arithmetic operators\",\n \"command\": \"share -aggressive\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": -15.0,\n \"delay\": 5.0,\n \"power\": -10.0\n },\n \"trade_offs\": [\n \"Area optimization may increase delay\",\n \"Aggressive sharing increases routing complexity\"\n ],\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 1058.0,\n \"delay\": 383.29,\n \"power\": 0.986,\n \"gate_count\": 986,\n \"cell_breakdown\": {\n \"$_ANDNOT_\": 61,\n \"$_AND_\": 195,\n \"$_DFFE_PN0P_\": 342,\n \"$_DFFE_PN1P_\": 1,\n \"$_DFF_PN0_\": 1,\n \"$_NAND_\": 154,\n \"$_NOR_\": 144,\n \"$_NOT_\": 5\n...[1799 chars elided]...\n \"error\": null\n}", "plan_id": "22a2a20ee583", "design_id": "3d554c0eea75", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 3, "ctx_cap": 3300, "source": {"repository": "https://github.com/nvdla/hw", "commit": "8e06b1b9d85aab65b40d43d08eec5ea4681ff715", "path": "vmod/nvdla/pdp/NV_NVDLA_PDP_nan.v", "sha256": "23e4013fddd4ffdd4acae040f5c277874386205c7a9dcc3df9712ab656a1e289"}} {"question": "For the p_SSYNC3DO synchronizer, does the synthesized result at medium optimization match the source structure? Specifically, how does the single register declared in the source, together with its one always block, relate to the number and type of cells produced, and what area and delay figures result?", "answer": "In the source, p_SSYNC3DO declares only 1 reg, has 1 always block, and has a cyclomatic complexity of 2. Synthesis produces 3 cells, all of type $_DFF_P_, which fits a three-stage synchronizer that uses a multi-bit or chained register. The result has an area of 12.0 and a delay of 208.56 with no combinational logic, and the static analysis reported no lint warnings.", "source_file": "github_repos/nvdla_hw/vmod/vlibs/p_SSYNC3DO.v", "module_name": "p_SSYNC3DO", "tool_name": "static_analyzer+synthesis_tool", "tool_parameters": [{"analysis_type": "full"}, {"optimization_level": "medium"}], "tool_result": "[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"p_SSYNC3DO\",\n \"port_count\": {\n \"inputs\": 2,\n \"outputs\": 1,\n \"inouts\": 0,\n \"total\": 3\n },\n \"signal_count\": {\n \"wires\": 0,\n \"regs\": 1,\n \"parameters\": 1,\n \"total\": 1\n },\n \"always_blocks\": 1,\n \"assign_statements\": 0,\n \"instantiations\": [\n \"first_stage_of_sync\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 18,\n \"total_lines\": 39,\n \"cyclomatic_complexity\": 2,\n \"nesting_depth\": 1,\n \"operator_count\": 191\n },\n \"lint_warnings\": [],\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 12.0,\n \"delay\": 208.56,\n \"power\": 0.003,\n \"gate_count\": 3,\n \"cell_breakdown\": {\n \"$_DFF_P_\": 3\n },\n \"wire_count\": 5,\n \"wire_bits\": 5,\n \"critical_path_estimate\": 208.56,\n...[1079 chars elided]...\n \"error\": null\n}", "category": "multi_tool", "subcategory": "static_analyzer+synthesis_tool", "difficulty": "compositional", "question_hash": "9e26f4fc7f1f", "stage1_target": "[{\"tool\": \"static_analyzer\", \"parameters\": {\"analysis_type\": \"full\"}}, {\"tool\": \"synthesis_tool\", \"parameters\": {\"optimization_level\": \"medium\"}}]", "stage2_context": "Question: For the p_SSYNC3DO synchronizer, does the synthesized result at medium optimization match the source structure? Specifically, how does the single register declared in the source, together with its one always block, relate to the number and type of cells produced, and what area and delay figures result?\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"p_SSYNC3DO\",\n \"port_count\": {\n \"inputs\": 2,\n \"outputs\": 1,\n \"inouts\": 0,\n \"total\": 3\n },\n \"signal_count\": {\n \"wires\": 0,\n \"regs\": 1,\n \"parameters\": 1,\n \"total\": 1\n },\n \"always_blocks\": 1,\n \"assign_statements\": 0,\n \"instantiations\": [\n \"first_stage_of_sync\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 18,\n \"total_lines\": 39,\n \"cyclomatic_complexity\": 2,\n \"nesting_depth\": 1,\n \"operator_count\": 191\n },\n \"lint_warnings\": [],\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 12.0,\n \"delay\": 208.56,\n \"power\": 0.003,\n \"gate_count\": 3,\n \"cell_breakdown\": {\n \"$_DFF_P_\": 3\n },\n \"wire_count\": 5,\n \"wire_bits\": 5,\n \"critical_path_estimate\": 208.56,\n...[1079 chars elided]...\n \"error\": null\n}", "plan_id": "79b3fdde5559", "design_id": "3e8e0477d117", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/nvdla/hw", "commit": "8e06b1b9d85aab65b40d43d08eec5ea4681ff715", "path": "vmod/vlibs/p_SSYNC3DO.v", "sha256": "557f76cadc8a1683d58a60648551783ff5ab58d8210adb8d62fe2db57370a881"}} {"question": "For MUX2D4, how does the AIG compare with the medium-optimization synthesized netlist? Specifically, how many AND and NOT nodes does the AIG have, and what gates, area, and delay does the synthesized result end up with?", "answer": "The AIG for MUX2D4 has 11 nodes and 17 edges, made up of 3 $_AND_ and 4 $_NOT_ nodes. Medium-optimization synthesis turns this into only 3 cells (2 $_NAND_ and 1 $_ORNOT_), with an area of 3.5 and a critical-path delay of 64.88.", "source_file": "github_repos/nvdla_hw/vmod/vlibs/MUX2D4.v", "module_name": "MUX2D4", "tool_name": "graph_extractor+synthesis_tool", "tool_parameters": [{"graph_type": "AIG"}, {"optimization_level": "medium"}], "tool_result": "[graph_extractor {\"graph_type\": \"AIG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"AIG\",\n...[2040 chars elided]...\n \"node_count\": 11,\n \"edge_count\": 17,\n \"graph_properties\": {\n \"node_types\": {\n \"$_AND_\": 3,\n \"$_NOT_\": 4,\n \"port_input\": 3,\n \"port_output\": 1\n },\n \"avg_degree\": 1.55,\n \"module_name\": \"MUX2D4\"\n },\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 3.5,\n \"delay\": 64.88,\n \"power\": 0.003,\n \"gate_count\": 3,\n \"cell_breakdown\": {\n \"$_NAND_\": 2,\n \"$_ORNOT_\": 1\n },\n \"wire_count\": 6,\n \"wire_bits\": 6,\n \"critical_path_estimate\": 64.88,\n...[1098 chars elided]...\n \"error\": null\n}", "category": "multi_tool", "subcategory": "graph_extractor+synthesis_tool", "difficulty": "compositional", "question_hash": "2d82d9568fb8", "stage1_target": "[{\"tool\": \"graph_extractor\", \"parameters\": {\"graph_type\": \"AIG\"}}, {\"tool\": \"synthesis_tool\", \"parameters\": {\"optimization_level\": \"medium\"}}]", "stage2_context": "Question: For MUX2D4, how does the AIG compare with the medium-optimization synthesized netlist? Specifically, how many AND and NOT nodes does the AIG have, and what gates, area, and delay does the synthesized result end up with?\n\n[graph_extractor {\"graph_type\": \"AIG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"AIG\",\n...[2040 chars elided]...\n \"node_count\": 11,\n \"edge_count\": 17,\n \"graph_properties\": {\n \"node_types\": {\n \"$_AND_\": 3,\n \"$_NOT_\": 4,\n \"port_input\": 3,\n \"port_output\": 1\n },\n \"avg_degree\": 1.55,\n \"module_name\": \"MUX2D4\"\n },\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 3.5,\n \"delay\": 64.88,\n \"power\": 0.003,\n \"gate_count\": 3,\n \"cell_breakdown\": {\n \"$_NAND_\": 2,\n \"$_ORNOT_\": 1\n },\n \"wire_count\": 6,\n \"wire_bits\": 6,\n \"critical_path_estimate\": 64.88,\n...[1098 chars elided]...\n \"error\": null\n}", "plan_id": "5328b9b1c26e", "design_id": "454bd7e0d21f", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/nvdla/hw", "commit": "8e06b1b9d85aab65b40d43d08eec5ea4681ff715", "path": "vmod/vlibs/MUX2D4.v", "sha256": "9b3dd689031fe84747d5a4845b2b202766928ba6fe0be1f829f1feb5718c4934"}} {"question": "For RAMPDP_80X72_GL_M1_D2, how well do the RTL signals line up with the netlist, and if I optimize the module for delay, what speed-up should I expect and what does it cost in area?", "answer": "The RTL-to-netlist mapping for RAMPDP_80X72_GL_M1_D2 has an alignment score of only 37.85. Just 67 of its 177 RTL signals map to netlist wires, and 110 signals are unmapped. Optimizing for delay is estimated to improve delay by -20.0, with area going up by 10.0 and power by 5.0, so the low alignment will make it harder to trace these timing gains back to specific RTL signals.", "source_file": "github_repos/nvdla_hw/vmod/rams/model/RAMPDP_80X72_GL_M1_D2.v", "module_name": "RAMPDP_80X72_GL_M1_D2", "tool_name": "cross_stage_mapper+optimization_advisor", "tool_parameters": [{}, {"target_metric": "delay"}], "tool_result": "[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"Q_15\": [],\n \"RADR\": [\n \"RADR_2\",\n \"RADR_3\",\n \"RADR_6\",\n \"RADR_0\",\n \"RADR_1\"\n ],\n \"fuseien\": [\n \"fuseien\"\n ],\n \"RD_71\": [\n \"RD_71\"\n ],\n \"outvalid\": [],\n \"Q_45\": [],\n \"Q_7\": [],\n \"r\": [\n \"clobber_array\",\n \"rdarr\",\n \"bre\",\n \"WDBQ_pr\",\n \"sel_redun\"\n ],\n \"bits\": [],\n \"Q_34\": [],\n \n...[4533 chars elided]...\nAT\": [],\n \"clobber_flops\": [\n \"clobber_flops\"\n ],\n \"WDBQ\": [\n \"WDBQ_pr\",\n \"WDBQ\"\n ],\n \"Q_6\": [],\n \"c\": [\n \"clobber_array\",\n \"wrclk\",\n \"clobber_x\",\n \"latffclk\",\n \"clamp_rd\"\n ],\n \"Q_8\": [],\n \"Q_51\": [],\n \"Q_16\": [],\n \"RADR_6\": [\n \"RADR_6\"\n ],\n \"Q_42\": [],\n \"Q_27\": [],\n \"Q_38\": []\n },\n \"alignment_score\": 37.85,\n \"unmapped_elements\": [\n \"Q_15\",\n \"outvalid\",\n \"Q_45\",\n \"Q_7\",\n \"bits\",\n \"Q_34\",\n \"Q_54\",\n \"Q_47\",\n \"memout\",\n \"dout_LAT\",\n \"Q_9\",\n \"dump_monitor_result\",\n \"WD_FF\",\n \"Q_0\",\n \"Q_62\",\n \"rd_row\",\n \"Q_18\",\n \"Q_20\",\n \"Q_68\",\n \"Q_72\"\n ],\n \"mapping_statistics\": {\n \"rtl_signals\": 177,\n \"netlist_wires\": 25592,\n \"netlist_cells\": 0,\n \"mapped_signals\": 67,\n \"unmapped_signals\": 110\n },\n \"error\": null\n}\n\n[optimization_advisor {\"target_metric\": \"delay\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"delay\",\n \"recommended_recipes\": [\n \"synth -top RAMPDP_80X72_GL_M1_D2\",\n \"opt -fast\",\n \"abc -fast -liberty stdcells.lib\",\n \"opt_clean\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"pipeline_insertion\",\n \"description\": \"Consider pipelining arithmetic operations\",\n \"command\": \"Use register retiming\"\n },\n {\n \"type\": \"logic_duplication\",\n \"description\": \"Duplicate logic to reduce fanout\",\n \"command\": \"splitnets -driver\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": 10.0,\n \"delay\": -20.0,\n \"power\": 5.0\n },\n \"trade_offs\": [\n \"Speed optimization increases area\",\n \"Higher power consumption\"\n ],\n \"error\": null\n}", "category": "multi_tool", "subcategory": "cross_stage_mapper+optimization_advisor", "difficulty": "compositional", "question_hash": "a2682abd291b", "stage1_target": "[{\"tool\": \"cross_stage_mapper\", \"parameters\": {}}, {\"tool\": \"optimization_advisor\", \"parameters\": {\"target_metric\": \"delay\"}}]", "stage2_context": "Question: For RAMPDP_80X72_GL_M1_D2, how well do the RTL signals line up with the netlist, and if I optimize the module for delay, what speed-up should I expect and what does it cost in area?\n\n[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"Q_15\": [],\n \"RADR\": [\n \"RADR_2\",\n \"RADR_3\",\n \"RADR_6\",\n \"RADR_0\",\n \"RADR_1\"\n ],\n \"fuseien\": [\n \"fuseien\"\n ],\n \"RD_71\": [\n \"RD_71\"\n ],\n \"outvalid\": [],\n \"Q_45\": [],\n \"Q_7\": [],\n \"r\": [\n \"clobber_array\",\n \"rdarr\",\n \"bre\",\n \"WDBQ_pr\",\n \"sel_redun\"\n ],\n \"bits\": [],\n \"Q_34\": [],\n \n...[4533 chars elided]...\nAT\": [],\n \"clobber_flops\": [\n \"clobber_flops\"\n ],\n \"WDBQ\": [\n \"WDBQ_pr\",\n \"WDBQ\"\n ],\n \"Q_6\": [],\n \"c\": [\n \"clobber_array\",\n \"wrclk\",\n \"clobber_x\",\n \"latffclk\",\n \"clamp_rd\"\n ],\n \"Q_8\": [],\n \"Q_51\": [],\n \"Q_16\": [],\n \"RADR_6\": [\n \"RADR_6\"\n ],\n \"Q_42\": [],\n \"Q_27\": [],\n \"Q_38\": []\n },\n \"alignment_score\": 37.85,\n \"unmapped_elements\": [\n \"Q_15\",\n \"outvalid\",\n \"Q_45\",\n \"Q_7\",\n \"bits\",\n \"Q_34\",\n \"Q_54\",\n \"Q_47\",\n \"memout\",\n \"dout_LAT\",\n \"Q_9\",\n \"dump_monitor_result\",\n \"WD_FF\",\n \"Q_0\",\n \"Q_62\",\n \"rd_row\",\n \"Q_18\",\n \"Q_20\",\n \"Q_68\",\n \"Q_72\"\n ],\n \"mapping_statistics\": {\n \"rtl_signals\": 177,\n \"netlist_wires\": 25592,\n \"netlist_cells\": 0,\n \"mapped_signals\": 67,\n \"unmapped_signals\": 110\n },\n \"error\": null\n}\n\n[optimization_advisor {\"target_metric\": \"delay\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"delay\",\n \"recommended_recipes\": [\n \"synth -top RAMPDP_80X72_GL_M1_D2\",\n \"opt -fast\",\n \"abc -fast -liberty stdcells.lib\",\n \"opt_clean\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"pipeline_insertion\",\n \"description\": \"Consider pipelining arithmetic operations\",\n \"command\": \"Use register retiming\"\n },\n {\n \"type\": \"logic_duplication\",\n \"description\": \"Duplicate logic to reduce fanout\",\n \"command\": \"splitnets -driver\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": 10.0,\n \"delay\": -20.0,\n \"power\": 5.0\n },\n \"trade_offs\": [\n \"Speed optimization increases area\",\n \"Higher power consumption\"\n ],\n \"error\": null\n}", "plan_id": "b8fd4b7baec5", "design_id": "4665220fe85d", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/nvdla/hw", "commit": "8e06b1b9d85aab65b40d43d08eec5ea4681ff715", "path": "vmod/rams/model/RAMPDP_80X72_GL_M1_D2.v", "sha256": "2cce2daf31920ceba14f76788db306c8389d8a04ecf990548644d74dc90d62a4"}} {"question": "For sirv_qspi_fifo, how big is the source design compared with the logic you get after a medium-effort synthesis? Please give the port and always-block counts and the cyclomatic complexity, then the synthesized gate count, area and critical-path delay, and say how many sub-queue instances and flip-flops end up in the netlist.", "answer": "The sirv_qspi_fifo source has 31 ports (16 inputs, 15 outputs), 2 always blocks and a cyclomatic complexity of 9. Medium-effort synthesis turns it into 73 cells with an area of 87.5 and a critical-path delay of 185.59. Those cells include 2 sirv_queue_1 instances and only 3 flip-flops (2 $_DFF_PP0_ and 1 $_DFFE_PP0P_), while the rest of the logic is mostly 21 NAND and 15 AND gates.", "source_file": "github_repos/riscv-mcu_e203_hbirdv2/rtl/e203/perips/sirv_qspi_fifo.v", "module_name": "sirv_qspi_fifo", "tool_name": "static_analyzer+synthesis_tool", "tool_parameters": [{"analysis_type": "full"}, {"optimization_level": "medium"}], "tool_result": "[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"sirv_qspi_fifo\",\n \"port_count\": {\n \"inputs\": 16,\n \"outputs\": 15,\n \"inouts\": 0,\n \"total\": 31\n },\n \"signal_count\": {\n \"wires\": 61,\n \"regs\": 4,\n \"parameters\": 0,\n \"total\": 65\n },\n \"always_blocks\": 2,\n \"assign_statements\": 68,\n \"instantiations\": [\n \"sirv_queue_1\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 219,\n \"total_lines\": 230,\n \"cyclomatic_complexity\": 9,\n \"nesting_depth\": 7,\n \"operator_count\": 120\n },\n \"lint_warnings\": [],\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 87.5,\n \"delay\": 185.59,\n \"power\": 0.073,\n \"gate_count\": 73,\n \"cell_breakdown\": {\n \"$_ANDNOT_\": 7,\n \"$_AND_\": 15,\n \"$_DFFE_PP0P_\": 1,\n \"$_DFF_PP0_\": 2,\n \"$_NAND_\": 21,\n \"$_NOR_\": 3,\n \"$_NOT_\": 1,\n \"$_ORNOT_\": 11,\n \"$_OR_\": 4,\n \"$_XNOR_\": 4,\n \"$_XOR_\": 2,\n \"sirv_queue_1\": 2\n },\n \"wire_count\": 129,\n \"wire_bits\": 236,\n \"critical_path_estimate\": 185.59,\n \"syn\n...[1338 chars elided]...\n \"error\": null\n}", "category": "multi_tool", "subcategory": "static_analyzer+synthesis_tool", "difficulty": "compositional", "question_hash": "3f379891dc56", "stage1_target": "[{\"tool\": \"static_analyzer\", \"parameters\": {\"analysis_type\": \"full\"}}, {\"tool\": \"synthesis_tool\", \"parameters\": {\"optimization_level\": \"medium\"}}]", "stage2_context": "Question: For sirv_qspi_fifo, how big is the source design compared with the logic you get after a medium-effort synthesis? Please give the port and always-block counts and the cyclomatic complexity, then the synthesized gate count, area and critical-path delay, and say how many sub-queue instances and flip-flops end up in the netlist.\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"sirv_qspi_fifo\",\n \"port_count\": {\n \"inputs\": 16,\n \"outputs\": 15,\n \"inouts\": 0,\n \"total\": 31\n },\n \"signal_count\": {\n \"wires\": 61,\n \"regs\": 4,\n \"parameters\": 0,\n \"total\": 65\n },\n \"always_blocks\": 2,\n \"assign_statements\": 68,\n \"instantiations\": [\n \"sirv_queue_1\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 219,\n \"total_lines\": 230,\n \"cyclomatic_complexity\": 9,\n \"nesting_depth\": 7,\n \"operator_count\": 120\n },\n \"lint_warnings\": [],\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 87.5,\n \"delay\": 185.59,\n \"power\": 0.073,\n \"gate_count\": 73,\n \"cell_breakdown\": {\n \"$_ANDNOT_\": 7,\n \"$_AND_\": 15,\n \"$_DFFE_PP0P_\": 1,\n \"$_DFF_PP0_\": 2,\n \"$_NAND_\": 21,\n \"$_NOR_\": 3,\n \"$_NOT_\": 1,\n \"$_ORNOT_\": 11,\n \"$_OR_\": 4,\n \"$_XNOR_\": 4,\n \"$_XOR_\": 2,\n \"sirv_queue_1\": 2\n },\n \"wire_count\": 129,\n \"wire_bits\": 236,\n \"critical_path_estimate\": 185.59,\n \"syn\n...[1338 chars elided]...\n \"error\": null\n}", "plan_id": "ead252051413", "design_id": "45b1a1328fa5", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/riscv-mcu/e203_hbirdv2", "commit": "9f3e34f337f5d0a1236a285871ffa2032491617a", "path": "rtl/e203/perips/sirv_qspi_fifo.v", "sha256": "6f61e7ee3c1a86ffc6a43cae8b3e28ffdf5d4273981c265012f9469025246fc7"}} {"question": "For the clockgen module, the source netlist declares 12 inputs, 8 outputs and 34 assign statements across 437 lines of code, so how does that compare with the cell count after medium-effort synthesis, and how many of the resulting cells are flip-flops?", "answer": "The clockgen source has 20 total ports, 102 wires and 34 assign statements across 437 lines of code, but medium-effort synthesis cuts it down to just 13 cells (area 13.0, delay 107.93). Of those cells, 4 are DFF_X1 flip-flops.", "source_file": "github_repos/The-OpenROAD-Project_OpenROAD/src/dbSta/test/hierclock_gate.v", "module_name": "clockgen", "tool_name": "static_analyzer+synthesis_tool", "tool_parameters": [{"analysis_type": "full"}, {"optimization_level": "medium"}], "tool_result": "[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"clockgen\",\n \"port_count\": {\n \"inputs\": 12,\n \"outputs\": 8,\n \"inouts\": 0,\n \"total\": 20\n },\n \"signal_count\": {\n \"wires\": 102,\n \"regs\": 0,\n \"parameters\": 0,\n \"total\": 102\n },\n \"always_blocks\": 0,\n \"assign_statements\": 34,\n \"instantiations\": [\n \"OAI21_X1\",\n \"XOR2_X1\",\n \"counter\",\n \"INV_X1\",\n \"clockgen\",\n \"NOR2_X1\",\n \"XNOR2_X1\",\n \"NAND2_X1\",\n \"AND2_X1\",\n \"NAND3_X1\",\n \"AOI21_X1\",\n \"DFF_X1\",\n \"AND3_X1\",\n \"NOR3_X1\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 437,\n \"total_lines\": 441,\n \"cyclomatic_complexity\": 1,\n \"nesting_depth\": 0,\n \"operator_count\": 299\n },\n \"lint_warnings\": [],\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 13.0,\n \"delay\": 107.93,\n \"power\": 0.013,\n \"gate_count\": 13,\n \"cell_breakdown\": {\n \"AND2_X1\": 1,\n \"AND3_X1\": 1,\n \"AOI21_X1\": 2,\n \"DFF_X1\": 4,\n \"INV_X1\": 1,\n \"NOR2_X1\": 1,\n \"NOR3_X1\": 1,\n \"OAI21_X1\": 1,\n \"XNOR2_X1\": 1\n },\n \"wire_count\": 22,\n \"wire_bits\": 25,\n \"critical_path_estimate\": 107.93,\n...[1258 chars elided]...\n \"error\": null\n}", "category": "multi_tool", "subcategory": "static_analyzer+synthesis_tool", "difficulty": "compositional", "question_hash": "b42e42c92a63", "stage1_target": "[{\"tool\": \"static_analyzer\", \"parameters\": {\"analysis_type\": \"full\"}}, {\"tool\": \"synthesis_tool\", \"parameters\": {\"optimization_level\": \"medium\"}}]", "stage2_context": "Question: For the clockgen module, the source netlist declares 12 inputs, 8 outputs and 34 assign statements across 437 lines of code, so how does that compare with the cell count after medium-effort synthesis, and how many of the resulting cells are flip-flops?\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"clockgen\",\n \"port_count\": {\n \"inputs\": 12,\n \"outputs\": 8,\n \"inouts\": 0,\n \"total\": 20\n },\n \"signal_count\": {\n \"wires\": 102,\n \"regs\": 0,\n \"parameters\": 0,\n \"total\": 102\n },\n \"always_blocks\": 0,\n \"assign_statements\": 34,\n \"instantiations\": [\n \"OAI21_X1\",\n \"XOR2_X1\",\n \"counter\",\n \"INV_X1\",\n \"clockgen\",\n \"NOR2_X1\",\n \"XNOR2_X1\",\n \"NAND2_X1\",\n \"AND2_X1\",\n \"NAND3_X1\",\n \"AOI21_X1\",\n \"DFF_X1\",\n \"AND3_X1\",\n \"NOR3_X1\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 437,\n \"total_lines\": 441,\n \"cyclomatic_complexity\": 1,\n \"nesting_depth\": 0,\n \"operator_count\": 299\n },\n \"lint_warnings\": [],\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 13.0,\n \"delay\": 107.93,\n \"power\": 0.013,\n \"gate_count\": 13,\n \"cell_breakdown\": {\n \"AND2_X1\": 1,\n \"AND3_X1\": 1,\n \"AOI21_X1\": 2,\n \"DFF_X1\": 4,\n \"INV_X1\": 1,\n \"NOR2_X1\": 1,\n \"NOR3_X1\": 1,\n \"OAI21_X1\": 1,\n \"XNOR2_X1\": 1\n },\n \"wire_count\": 22,\n \"wire_bits\": 25,\n \"critical_path_estimate\": 107.93,\n...[1258 chars elided]...\n \"error\": null\n}", "plan_id": "e85bcd7a7090", "design_id": "47587a88e5ae", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/The-OpenROAD-Project/OpenROAD", "commit": "3e3e483a4e3f98e2b5470b272040699de6dedbee", "path": "src/dbSta/test/hierclock_gate.v", "sha256": "658d9b12358e78b28f15258adc2533747119d320e2431bc356f79aa9e62d8735"}} {"question": "For NV_NVDLA_PDP_REG_dual, how well do the RTL signals carry through to the synthesized netlist, and given how large and complex the register file's RTL is, which kinds of signals fail to map?", "answer": "Only 106 of the 139 RTL signals in NV_NVDLA_PDP_REG_dual map to the netlist, giving an alignment score of 76.26. The RTL is large, with 698 lines of code, 88 regs and a cyclomatic complexity of 102. Most of the unmapped elements are padding and partial-width fields such as pad_value_1x and partial_width_in_first, plus write-enables like nvdla_pdp_d_nan_input_num_0_wren, which probably got merged or optimized away during synthesis.", "source_file": "github_repos/nvdla_hw/vmod/nvdla/pdp/NV_NVDLA_PDP_REG_dual.v", "module_name": "NV_NVDLA_PDP_REG_dual", "tool_name": "cross_stage_mapper+static_analyzer", "tool_parameters": [{}, {"analysis_type": "full"}], "tool_result": "[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"nvdla_pdp_d_dst_surface_stride_0_wren\": [\n \"nvdla_pdp_d_dst_surface_stride_0_wren\"\n ],\n \"nvdla_pdp_d_partial_width_in_0_wren\": [\n \"nvdla_pdp_d_partial_width_in_0_wren\"\n ],\n \"nvdla_pdp_d_partial_width_out_0_out\": [\n \"nvdla_pdp_d_partial_width_out_0_out\"\n ],\n \"nvdla_pdp_d_partial_width_in_0_out\": [\n \"nvdla_pdp_d_partial_width_in_0_out\"\n \n...[11223 chars elided]...\n_cube_out_height_0_wren\"\n ],\n \"reg_offset\": [\n \"reg_offset\",\n \"reg_offset_rd_int\",\n \"reg_offset_wr\"\n ]\n },\n \"alignment_score\": 76.26,\n \"unmapped_elements\": [\n \"pad_value_6x\",\n \"pad_bottom\",\n \"pad_value_7x\",\n \"pad_right\",\n \"pad_value_4x\",\n \"pad_value_5x\",\n \"partial_width_in_first\",\n \"pad_top\",\n \"partial_width_out_last\",\n \"pad_value_1x\",\n \"arreggen_abort_on_rowr\",\n \"partial_width_out_mid\",\n \"partial_width_in_mid\",\n \"pad_value_2x\",\n \"pad_value_3x\",\n \"partial_width_in_last\",\n \"nvdla_pdp_d_inf_input_num_0_wren\",\n \"nvdla_pdp_d_nan_input_num_0_wren\",\n \"nvdla_pdp_d_nan_output_num_0_wren\",\n \"arreggen_dump\"\n ],\n \"mapping_statistics\": {\n \"rtl_signals\": 139,\n \"netlist_wires\": 6585,\n \"netlist_cells\": 0,\n \"mapped_signals\": 106,\n \"unmapped_signals\": 33\n },\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"NV_NVDLA_PDP_REG_dual\",\n \"port_count\": {\n \"inputs\": 10,\n \"outputs\": 47,\n \"inouts\": 0,\n \"total\": 57\n },\n \"signal_count\": {\n \"wires\": 78,\n \"regs\": 88,\n \"parameters\": 0,\n \"total\": 166\n },\n \"always_blocks\": 3,\n \"assign_statements\": 41,\n \"instantiations\": [\n \"cya\",\n \"src_base_addr_high\",\n \"kernel_height\",\n \"cube_in_channel\",\n \"Unknown\",\n \"cube_out_height\",\n \"dst_base_addr_high\",\n \"pad_value_6x\",\n \"recip_kernel_height\",\n \"recip_kernel_width\",\n \"kernel_stride_width\",\n \"kernel_width\",\n \"pad_bottom\",\n \"src_surface_stride\",\n \"dst_surface_stride\",\n \"cube_out_channel\",\n \"partial_width_in_first\",\n \"dst_line_stride\",\n \"dma_en\",\n \"dst_base_addr_low\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 698,\n \"total_lines\": 852,\n \"cyclomatic_complexity\": 102,\n \"nesting_depth\": 100,\n \"operator_count\": 1072\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "category": "multi_tool", "subcategory": "cross_stage_mapper+static_analyzer", "difficulty": "compositional", "question_hash": "115996b08125", "stage1_target": "[{\"tool\": \"cross_stage_mapper\", \"parameters\": {}}, {\"tool\": \"static_analyzer\", \"parameters\": {\"analysis_type\": \"full\"}}]", "stage2_context": "Question: For NV_NVDLA_PDP_REG_dual, how well do the RTL signals carry through to the synthesized netlist, and given how large and complex the register file's RTL is, which kinds of signals fail to map?\n\n[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"nvdla_pdp_d_dst_surface_stride_0_wren\": [\n \"nvdla_pdp_d_dst_surface_stride_0_wren\"\n ],\n \"nvdla_pdp_d_partial_width_in_0_wren\": [\n \"nvdla_pdp_d_partial_width_in_0_wren\"\n ],\n \"nvdla_pdp_d_partial_width_out_0_out\": [\n \"nvdla_pdp_d_partial_width_out_0_out\"\n ],\n \"nvdla_pdp_d_partial_width_in_0_out\": [\n \"nvdla_pdp_d_partial_width_in_0_out\"\n \n...[11223 chars elided]...\n_cube_out_height_0_wren\"\n ],\n \"reg_offset\": [\n \"reg_offset\",\n \"reg_offset_rd_int\",\n \"reg_offset_wr\"\n ]\n },\n \"alignment_score\": 76.26,\n \"unmapped_elements\": [\n \"pad_value_6x\",\n \"pad_bottom\",\n \"pad_value_7x\",\n \"pad_right\",\n \"pad_value_4x\",\n \"pad_value_5x\",\n \"partial_width_in_first\",\n \"pad_top\",\n \"partial_width_out_last\",\n \"pad_value_1x\",\n \"arreggen_abort_on_rowr\",\n \"partial_width_out_mid\",\n \"partial_width_in_mid\",\n \"pad_value_2x\",\n \"pad_value_3x\",\n \"partial_width_in_last\",\n \"nvdla_pdp_d_inf_input_num_0_wren\",\n \"nvdla_pdp_d_nan_input_num_0_wren\",\n \"nvdla_pdp_d_nan_output_num_0_wren\",\n \"arreggen_dump\"\n ],\n \"mapping_statistics\": {\n \"rtl_signals\": 139,\n \"netlist_wires\": 6585,\n \"netlist_cells\": 0,\n \"mapped_signals\": 106,\n \"unmapped_signals\": 33\n },\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"NV_NVDLA_PDP_REG_dual\",\n \"port_count\": {\n \"inputs\": 10,\n \"outputs\": 47,\n \"inouts\": 0,\n \"total\": 57\n },\n \"signal_count\": {\n \"wires\": 78,\n \"regs\": 88,\n \"parameters\": 0,\n \"total\": 166\n },\n \"always_blocks\": 3,\n \"assign_statements\": 41,\n \"instantiations\": [\n \"cya\",\n \"src_base_addr_high\",\n \"kernel_height\",\n \"cube_in_channel\",\n \"Unknown\",\n \"cube_out_height\",\n \"dst_base_addr_high\",\n \"pad_value_6x\",\n \"recip_kernel_height\",\n \"recip_kernel_width\",\n \"kernel_stride_width\",\n \"kernel_width\",\n \"pad_bottom\",\n \"src_surface_stride\",\n \"dst_surface_stride\",\n \"cube_out_channel\",\n \"partial_width_in_first\",\n \"dst_line_stride\",\n \"dma_en\",\n \"dst_base_addr_low\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 698,\n \"total_lines\": 852,\n \"cyclomatic_complexity\": 102,\n \"nesting_depth\": 100,\n \"operator_count\": 1072\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "plan_id": "8f135819af01", "design_id": "49b3c74747ee", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/nvdla/hw", "commit": "8e06b1b9d85aab65b40d43d08eec5ea4681ff715", "path": "vmod/nvdla/pdp/NV_NVDLA_PDP_REG_dual.v", "sha256": "c12210a5ff18be8a2e11361be2df5bb012eea4658aa3431b214a339e2eac46d9"}} {"question": "For NV_NVDLA_PDP_REG_dual, the AIG has 607 flip-flops alongside a large number of AND and NOT nodes, and a power-targeted optimization suggests clock gating. Using the medium-effort synthesis results as well, how much of the synthesized design is sequential, and does clock gating look like a sensible power strategy for this module?", "answer": "The AIG for NV_NVDLA_PDP_REG_dual has 607 $_DFFE_PN0P_ enable flops next to 4353 AND and 6907 NOT nodes, and medium-effort synthesis keeps all 607 $_DFFE_PN0P_ cells out of a gate count of 2807 (area 2858.5, power 2.807), so a large part of the design is register-based. Because these flops already have enables, the power-targeted 'clockgate' recommendation fits the design well, and it is estimated to give -25.0 power at a cost of 5.0 area and 5.0 delay.", "source_file": "github_repos/nvdla_hw/vmod/nvdla/pdp/NV_NVDLA_PDP_REG_dual.v", "module_name": "NV_NVDLA_PDP_REG_dual", "tool_name": "graph_extractor+optimization_advisor+synthesis_tool", "tool_parameters": [{"graph_type": "AIG"}, {"target_metric": "power"}, {"optimization_level": "medium"}], "tool_result": "[graph_extractor {\"graph_type\": \"AIG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"AIG\",\n...[34170 chars elided]...\n \"node_count\": 11924,\n \"edge_count\": 29908,\n \"graph_properties\": {\n \"node_types\": {\n \"$_AND_\": 4353,\n \"$_NOT_\": 6907,\n \"$_DFFE_PN0P_\": 607,\n \"port_output\": 47,\n \"port_input\": 10\n },\n \"avg_degree\": 2.51,\n \"module_name\": \"NV_NVDLA_PDP_REG_dual\"\n },\n \"error\": null\n}\n\n[optimization_advisor {\"target_metric\": \"power\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"power\",\n \"recommended_recipes\": [\n \"synth -top NV_NVDLA_PDP_REG_dual\",\n \"opt; share; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean; clockgate\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"clock_gating\",\n \"description\": \"Insert clock gating for registers\",\n \"command\": \"clockgate\"\n },\n {\n \"type\": \"operand_isolation\",\n \"description\": \"Isolate operands when not in use\",\n \"command\": \"Use enable signals for arithmetic\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": 5.0,\n \"delay\": 5.0,\n \"power\": -25.0\n },\n \"trade_offs\": [\n \"Power optimization may add area overhead\",\n \"Clock gating adds timing complexity\"\n ],\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 2858.5,\n \"delay\": 503.08,\n \"power\": 2.807,\n \"gate_count\": 2807,\n \"cell_breakdown\": {\n \"$_ANDNOT_\": 104,\n \"$_AND_\": 769,\n \"$_DFFE_PN0P_\": 607,\n \"$_NAND_\": 608,\n \"$_NOR_\": 484,\n \"$_NOT_\": 1,\n \"$_OR_\": 234\n },\n \"wire_count\": 22\n...[1683 chars elided]...\n \"error\": null\n}", "category": "multi_tool", "subcategory": "graph_extractor+optimization_advisor+synthesis_tool", "difficulty": "compositional", "question_hash": "892f5e9e330c", "stage1_target": "[{\"tool\": \"graph_extractor\", \"parameters\": {\"graph_type\": \"AIG\"}}, {\"tool\": \"optimization_advisor\", \"parameters\": {\"target_metric\": \"power\"}}, {\"tool\": \"synthesis_tool\", \"parameters\": {\"optimization_level\": \"medium\"}}]", "stage2_context": "Question: For NV_NVDLA_PDP_REG_dual, the AIG has 607 flip-flops alongside a large number of AND and NOT nodes, and a power-targeted optimization suggests clock gating. Using the medium-effort synthesis results as well, how much of the synthesized design is sequential, and does clock gating look like a sensible power strategy for this module?\n\n[graph_extractor {\"graph_type\": \"AIG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"AIG\",\n...[34170 chars elided]...\n \"node_count\": 11924,\n \"edge_count\": 29908,\n \"graph_properties\": {\n \"node_types\": {\n \"$_AND_\": 4353,\n \"$_NOT_\": 6907,\n \"$_DFFE_PN0P_\": 607,\n \"port_output\": 47,\n \"port_input\": 10\n },\n \"avg_degree\": 2.51,\n \"module_name\": \"NV_NVDLA_PDP_REG_dual\"\n },\n \"error\": null\n}\n\n[optimization_advisor {\"target_metric\": \"power\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"power\",\n \"recommended_recipes\": [\n \"synth -top NV_NVDLA_PDP_REG_dual\",\n \"opt; share; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean; clockgate\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"clock_gating\",\n \"description\": \"Insert clock gating for registers\",\n \"command\": \"clockgate\"\n },\n {\n \"type\": \"operand_isolation\",\n \"description\": \"Isolate operands when not in use\",\n \"command\": \"Use enable signals for arithmetic\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": 5.0,\n \"delay\": 5.0,\n \"power\": -25.0\n },\n \"trade_offs\": [\n \"Power optimization may add area overhead\",\n \"Clock gating adds timing complexity\"\n ],\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 2858.5,\n \"delay\": 503.08,\n \"power\": 2.807,\n \"gate_count\": 2807,\n \"cell_breakdown\": {\n \"$_ANDNOT_\": 104,\n \"$_AND_\": 769,\n \"$_DFFE_PN0P_\": 607,\n \"$_NAND_\": 608,\n \"$_NOR_\": 484,\n \"$_NOT_\": 1,\n \"$_OR_\": 234\n },\n \"wire_count\": 22\n...[1683 chars elided]...\n \"error\": null\n}", "plan_id": "f9d5630f19c8", "design_id": "49b3c74747ee", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 3, "ctx_cap": 3300, "source": {"repository": "https://github.com/nvdla/hw", "commit": "8e06b1b9d85aab65b40d43d08eec5ea4681ff715", "path": "vmod/nvdla/pdp/NV_NVDLA_PDP_REG_dual.v", "sha256": "c12210a5ff18be8a2e11361be2df5bb012eea4658aa3431b214a339e2eac46d9"}} {"question": "For sirv_jtag_dtm, how big is the AIG representation in terms of AND and NOT nodes, and given that size, what area change does the area-targeted optimization guidance estimate, and what does it trade away in delay?", "answer": "The AIG for sirv_jtag_dtm has 4718 nodes, including 1931 $_AND_ and 2674 $_NOT_ nodes, along with 47 $_DFFE_PP0P_ and 41 $_DFFE_PP_ flops. The area-targeted recipe (flatten, share -aggressive, abc with stdcells.lib, opt_clean -purge) estimates an area change of -15.0 and a power change of -10.0, but a delay increase of 5.0, because aggressive sharing and muxcover can lengthen paths and make routing more complex.", "source_file": "github_repos/riscv-mcu_e203_hbirdv2/rtl/e203/debug/sirv_jtag_dtm.v", "module_name": "sirv_jtag_dtm", "tool_name": "graph_extractor+optimization_advisor", "tool_parameters": [{"graph_type": "AIG"}, {"target_metric": "area"}], "tool_result": "[graph_extractor {\"graph_type\": \"AIG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"AIG\",\n...[33880 chars elided]...\n \"node_count\": 4718,\n \"edge_count\": 11755,\n \"graph_properties\": {\n \"node_types\": {\n \"$_AND_\": 1931,\n \"$_NOT_\": 2674,\n \"$_DFF_NP0_\": 2,\n \"$_DFF_PP0_\": 4,\n \"$_DFFE_PP0P_\": 47,\n \"$_DFFE_PP_\": 41,\n \"$_DFFE_NP1P_\": 1,\n \"$_DFFE_NP0P_\": 4,\n \"sirv_gnrl_cdc_rx\": 1,\n \"sirv_gnrl_cdc_tx\": 1,\n \"port_input\": 7,\n \"port_output\": 5\n },\n \"avg_degree\": 2.49,\n \"module_name\": \"sirv_jtag_dtm\"\n },\n \"error\": null\n}\n\n[optimization_advisor {\"target_metric\": \"area\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"area\",\n \"recommended_recipes\": [\n \"synth -top sirv_jtag_dtm -flatten\",\n \"opt -full; share -aggressive; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean -purge\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"mux_optimization\",\n \"description\": \"Share multiplexers where possible\",\n \"command\": \"muxcover; opt\"\n },\n {\n \"type\": \"resource_sharing\",\n \"description\": \"Share arithmetic operators\",\n \"command\": \"share -aggressive\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": -15.0,\n \"delay\": 5.0,\n \"power\": -10.0\n },\n \"trade_offs\": [\n \"Area optimization may increase delay\",\n \"Aggressive sharing increases routing complexity\"\n ],\n \"error\": null\n}", "category": "multi_tool", "subcategory": "graph_extractor+optimization_advisor", "difficulty": "compositional", "question_hash": "e52902d90773", "stage1_target": "[{\"tool\": \"graph_extractor\", \"parameters\": {\"graph_type\": \"AIG\"}}, {\"tool\": \"optimization_advisor\", \"parameters\": {\"target_metric\": \"area\"}}]", "stage2_context": "Question: For sirv_jtag_dtm, how big is the AIG representation in terms of AND and NOT nodes, and given that size, what area change does the area-targeted optimization guidance estimate, and what does it trade away in delay?\n\n[graph_extractor {\"graph_type\": \"AIG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"AIG\",\n...[33880 chars elided]...\n \"node_count\": 4718,\n \"edge_count\": 11755,\n \"graph_properties\": {\n \"node_types\": {\n \"$_AND_\": 1931,\n \"$_NOT_\": 2674,\n \"$_DFF_NP0_\": 2,\n \"$_DFF_PP0_\": 4,\n \"$_DFFE_PP0P_\": 47,\n \"$_DFFE_PP_\": 41,\n \"$_DFFE_NP1P_\": 1,\n \"$_DFFE_NP0P_\": 4,\n \"sirv_gnrl_cdc_rx\": 1,\n \"sirv_gnrl_cdc_tx\": 1,\n \"port_input\": 7,\n \"port_output\": 5\n },\n \"avg_degree\": 2.49,\n \"module_name\": \"sirv_jtag_dtm\"\n },\n \"error\": null\n}\n\n[optimization_advisor {\"target_metric\": \"area\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"area\",\n \"recommended_recipes\": [\n \"synth -top sirv_jtag_dtm -flatten\",\n \"opt -full; share -aggressive; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean -purge\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"mux_optimization\",\n \"description\": \"Share multiplexers where possible\",\n \"command\": \"muxcover; opt\"\n },\n {\n \"type\": \"resource_sharing\",\n \"description\": \"Share arithmetic operators\",\n \"command\": \"share -aggressive\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": -15.0,\n \"delay\": 5.0,\n \"power\": -10.0\n },\n \"trade_offs\": [\n \"Area optimization may increase delay\",\n \"Aggressive sharing increases routing complexity\"\n ],\n \"error\": null\n}", "plan_id": "cc5631bb123c", "design_id": "4a09cd231139", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/riscv-mcu/e203_hbirdv2", "commit": "9f3e34f337f5d0a1236a285871ffa2032491617a", "path": "rtl/e203/debug/sirv_jtag_dtm.v", "sha256": "e458dabf62b8f70bf02d3fba96ca8be58b5e294db47b3423136af315e794bd03"}} {"question": "For the uart_tx module, how does the gate-level AIG compare with the source-level structure? Specifically, how do the 14 declared regs relate to the flip-flop cells in the AIG, and does the AIG's size match the RTL's control complexity and lint status?", "answer": "The uart_tx RTL declares 14 regs in 5 always blocks, but the AIG has 17 $_DFF_PN0_, 8 $_DFFE_PN1P_ and 7 $_DFFE_PN0P_ flip-flops, so several of those regs are multi-bit. Some registers reset to 1 and others to 0, and some have enable inputs. The 156 lines of code, with cyclomatic complexity of 32 and nesting depth of 23, turn into a large AIG of 4582 nodes and 11121 edges, mostly 1904 AND and 2633 NOT gates, with an average degree of 2.43. The RTL has no lint warnings, and both views agree on 10 inputs and 3 outputs.", "source_file": "github_repos/riscv-mcu_e203_hbirdv2/rtl/e203/perips/apb_uart/uart_tx.v", "module_name": "uart_tx", "tool_name": "graph_extractor+static_analyzer", "tool_parameters": [{"graph_type": "AIG"}, {"analysis_type": "full"}], "tool_result": "[graph_extractor {\"graph_type\": \"AIG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"AIG\",\n...[33547 chars elided]...\n \"node_count\": 4582,\n \"edge_count\": 11121,\n \"graph_properties\": {\n \"node_types\": {\n \"$_AND_\": 1904,\n \"$_NOT_\": 2633,\n \"$_DFF_PN0_\": 17,\n \"$_DFFE_PN1P_\": 8,\n \"$_DFFE_PN0P_\": 7,\n \"port_input\": 10,\n \"port_output\": 3\n },\n \"avg_degree\": 2.43,\n \"module_name\": \"uart_tx\"\n },\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"uart_tx\",\n \"port_count\": {\n \"inputs\": 10,\n \"outputs\": 3,\n \"inouts\": 0,\n \"total\": 13\n },\n \"signal_count\": {\n \"wires\": 11,\n \"regs\": 14,\n \"parameters\": 0,\n \"total\": 25\n },\n \"always_blocks\": 5,\n \"assign_statements\": 1,\n \"instantiations\": [],\n \"code_complexity\": {\n \"lines_of_code\": 156,\n \"total_lines\": 193,\n \"cyclomatic_complexity\": 32,\n \"nesting_depth\": 23,\n \"operator_count\": 135\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "category": "multi_tool", "subcategory": "graph_extractor+static_analyzer", "difficulty": "compositional", "question_hash": "b7e26d7bf7c4", "stage1_target": "[{\"tool\": \"graph_extractor\", \"parameters\": {\"graph_type\": \"AIG\"}}, {\"tool\": \"static_analyzer\", \"parameters\": {\"analysis_type\": \"full\"}}]", "stage2_context": "Question: For the uart_tx module, how does the gate-level AIG compare with the source-level structure? Specifically, how do the 14 declared regs relate to the flip-flop cells in the AIG, and does the AIG's size match the RTL's control complexity and lint status?\n\n[graph_extractor {\"graph_type\": \"AIG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"AIG\",\n...[33547 chars elided]...\n \"node_count\": 4582,\n \"edge_count\": 11121,\n \"graph_properties\": {\n \"node_types\": {\n \"$_AND_\": 1904,\n \"$_NOT_\": 2633,\n \"$_DFF_PN0_\": 17,\n \"$_DFFE_PN1P_\": 8,\n \"$_DFFE_PN0P_\": 7,\n \"port_input\": 10,\n \"port_output\": 3\n },\n \"avg_degree\": 2.43,\n \"module_name\": \"uart_tx\"\n },\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"uart_tx\",\n \"port_count\": {\n \"inputs\": 10,\n \"outputs\": 3,\n \"inouts\": 0,\n \"total\": 13\n },\n \"signal_count\": {\n \"wires\": 11,\n \"regs\": 14,\n \"parameters\": 0,\n \"total\": 25\n },\n \"always_blocks\": 5,\n \"assign_statements\": 1,\n \"instantiations\": [],\n \"code_complexity\": {\n \"lines_of_code\": 156,\n \"total_lines\": 193,\n \"cyclomatic_complexity\": 32,\n \"nesting_depth\": 23,\n \"operator_count\": 135\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "plan_id": "dc9bb76bfe1b", "design_id": "4b0e145446eb", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/riscv-mcu/e203_hbirdv2", "commit": "9f3e34f337f5d0a1236a285871ffa2032491617a", "path": "rtl/e203/perips/apb_uart/uart_tx.v", "sha256": "d21960c4faffb9bbd0687db02d119ac1e95b6f495b5b49f5efcaed18667dbe83"}} {"question": "For the e203_clkgate module, a delay-targeted optimization suggests pipelining arithmetic operations and duplicating logic to reduce fanout. Given how small and simple the module's code structure is, does that advice make sense, and what improvement and trade-offs should I expect?", "answer": "e203_clkgate is a very small design: 3 inputs, 1 output, a single reg, 1 always block, 2 assign statements and a cyclomatic complexity of 3. That means generic advice like pipelining arithmetic or splitnets-based logic duplication is unlikely to help much, and adding pipeline stages to a clock-gating cell would probably break how it works. The delay-targeted recipe estimates a -20.0 delay improvement, but at the cost of +10.0 area and +5.0 power, which reflects the trade-offs that speed optimization increases area and raises power consumption.", "source_file": "github_repos/riscv-mcu_e203_hbirdv2/rtl/e203/core/e203_clkgate.v", "module_name": "e203_clkgate", "tool_name": "optimization_advisor+static_analyzer", "tool_parameters": [{"target_metric": "delay"}, {"analysis_type": "full"}], "tool_result": "[optimization_advisor {\"target_metric\": \"delay\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"delay\",\n \"recommended_recipes\": [\n \"synth -top e203_clkgate\",\n \"opt -fast\",\n \"abc -fast -liberty stdcells.lib\",\n \"opt_clean\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"pipeline_insertion\",\n \"description\": \"Consider pipelining arithmetic operations\",\n \"command\": \"Use register retiming\"\n },\n {\n \"type\": \"logic_duplication\",\n \"description\": \"Duplicate logic to reduce fanout\",\n \"command\": \"splitnets -driver\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": 10.0,\n \"delay\": -20.0,\n \"power\": 5.0\n },\n \"trade_offs\": [\n \"Speed optimization increases area\",\n \"Higher power consumption\"\n ],\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"e203_clkgate\",\n \"port_count\": {\n \"inputs\": 3,\n \"outputs\": 1,\n \"inouts\": 0,\n \"total\": 4\n },\n \"signal_count\": {\n \"wires\": 0,\n \"regs\": 1,\n \"parameters\": 0,\n \"total\": 1\n },\n \"always_blocks\": 1,\n \"assign_statements\": 2,\n \"instantiations\": [],\n \"code_complexity\": {\n \"lines_of_code\": 30,\n \"total_lines\": 54,\n \"cyclomatic_complexity\": 3,\n \"nesting_depth\": 0,\n \"operator_count\": 177\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "category": "multi_tool", "subcategory": "optimization_advisor+static_analyzer", "difficulty": "compositional", "question_hash": "4d800ad8b8dc", "stage1_target": "[{\"tool\": \"optimization_advisor\", \"parameters\": {\"target_metric\": \"delay\"}}, {\"tool\": \"static_analyzer\", \"parameters\": {\"analysis_type\": \"full\"}}]", "stage2_context": "Question: For the e203_clkgate module, a delay-targeted optimization suggests pipelining arithmetic operations and duplicating logic to reduce fanout. Given how small and simple the module's code structure is, does that advice make sense, and what improvement and trade-offs should I expect?\n\n[optimization_advisor {\"target_metric\": \"delay\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"delay\",\n \"recommended_recipes\": [\n \"synth -top e203_clkgate\",\n \"opt -fast\",\n \"abc -fast -liberty stdcells.lib\",\n \"opt_clean\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"pipeline_insertion\",\n \"description\": \"Consider pipelining arithmetic operations\",\n \"command\": \"Use register retiming\"\n },\n {\n \"type\": \"logic_duplication\",\n \"description\": \"Duplicate logic to reduce fanout\",\n \"command\": \"splitnets -driver\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": 10.0,\n \"delay\": -20.0,\n \"power\": 5.0\n },\n \"trade_offs\": [\n \"Speed optimization increases area\",\n \"Higher power consumption\"\n ],\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"e203_clkgate\",\n \"port_count\": {\n \"inputs\": 3,\n \"outputs\": 1,\n \"inouts\": 0,\n \"total\": 4\n },\n \"signal_count\": {\n \"wires\": 0,\n \"regs\": 1,\n \"parameters\": 0,\n \"total\": 1\n },\n \"always_blocks\": 1,\n \"assign_statements\": 2,\n \"instantiations\": [],\n \"code_complexity\": {\n \"lines_of_code\": 30,\n \"total_lines\": 54,\n \"cyclomatic_complexity\": 3,\n \"nesting_depth\": 0,\n \"operator_count\": 177\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "plan_id": "5c1ccb74052f", "design_id": "4cf1e4f02ee1", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/riscv-mcu/e203_hbirdv2", "commit": "9f3e34f337f5d0a1236a285871ffa2032491617a", "path": "rtl/e203/core/e203_clkgate.v", "sha256": "246adffd3af4cc8ffbd1a87f7aafbece1221c538a9f8c66137e388068991c742"}} {"question": "For the tcm_mem_pmem module, how does its structural complexity compare with what you get after a medium-effort synthesis? Specifically, relate the cyclomatic complexity and number of always blocks to the synthesized area, delay, and the number of enable flip-flops used.", "answer": "tcm_mem_pmem has a cyclomatic complexity of 33, a nesting depth of 18 and 4 always blocks. At medium optimization it synthesizes to an area of 1155.0 and a delay of 294.98, with 1529 gates. That gate count includes 48 $_DFFE_PP0P_ and 24 $_DFFE_PP_ enable flip-flops, and NAND (313) and AND (235) cells make up most of the logic.", "source_file": "github_repos/ultraembedded_riscv/top_tcm_wrapper/tcm_mem_pmem.v", "module_name": "tcm_mem_pmem", "tool_name": "static_analyzer+synthesis_tool", "tool_parameters": [{"analysis_type": "full"}, {"optimization_level": "medium"}], "tool_result": "[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"tcm_mem_pmem\",\n \"port_count\": {\n \"inputs\": 18,\n \"outputs\": 9,\n \"inouts\": 0,\n \"total\": 27\n },\n \"signal_count\": {\n \"wires\": 17,\n \"regs\": 12,\n \"parameters\": 4,\n \"total\": 29\n },\n \"always_blocks\": 4,\n \"assign_statements\": 19,\n \"instantiations\": [\n \"Push\",\n \"continuation\",\n \"up\",\n \"accepted\",\n \"Pop\",\n \"burst\",\n \"CONSEQUENTIAL\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 284,\n \"total_lines\": 443,\n \"cyclomatic_complexity\": 33,\n \"nesting_depth\": 18,\n \"operator_count\": 2650\n },\n \"lint_warnings\": [],\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 1155.0,\n \"delay\": 294.98,\n \"power\": 1.529,\n \"gate_count\": 1529,\n \"cell_breakdown\": {\n \"$_ANDNOT_\": 21,\n \"$_AND_\": 235,\n \"$_DFFE_PP0P_\": 48,\n \"$_DFFE_PP_\": 24,\n \"$_NAND_\": 313,\n \"$_NOR_\": 29,\n \"$_NOT_\": 8,\n \"$_ORNOT_\": 47,\n \"$_OR_\": 189,\n \"$_XNOR_\": 32,\n \"$_XOR_\": 24,\n \"$_DFF_PP0_\": 1,\n \"$paramod\\\\tcm_mem_pmem_fifo2\\\\WIDTH=s32'000000000000000000000000000001\n...[1508 chars elided]...\n \"error\": null\n}", "category": "multi_tool", "subcategory": "static_analyzer+synthesis_tool", "difficulty": "compositional", "question_hash": "2fa1dadd41d4", "stage1_target": "[{\"tool\": \"static_analyzer\", \"parameters\": {\"analysis_type\": \"full\"}}, {\"tool\": \"synthesis_tool\", \"parameters\": {\"optimization_level\": \"medium\"}}]", "stage2_context": "Question: For the tcm_mem_pmem module, how does its structural complexity compare with what you get after a medium-effort synthesis? Specifically, relate the cyclomatic complexity and number of always blocks to the synthesized area, delay, and the number of enable flip-flops used.\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"tcm_mem_pmem\",\n \"port_count\": {\n \"inputs\": 18,\n \"outputs\": 9,\n \"inouts\": 0,\n \"total\": 27\n },\n \"signal_count\": {\n \"wires\": 17,\n \"regs\": 12,\n \"parameters\": 4,\n \"total\": 29\n },\n \"always_blocks\": 4,\n \"assign_statements\": 19,\n \"instantiations\": [\n \"Push\",\n \"continuation\",\n \"up\",\n \"accepted\",\n \"Pop\",\n \"burst\",\n \"CONSEQUENTIAL\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 284,\n \"total_lines\": 443,\n \"cyclomatic_complexity\": 33,\n \"nesting_depth\": 18,\n \"operator_count\": 2650\n },\n \"lint_warnings\": [],\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 1155.0,\n \"delay\": 294.98,\n \"power\": 1.529,\n \"gate_count\": 1529,\n \"cell_breakdown\": {\n \"$_ANDNOT_\": 21,\n \"$_AND_\": 235,\n \"$_DFFE_PP0P_\": 48,\n \"$_DFFE_PP_\": 24,\n \"$_NAND_\": 313,\n \"$_NOR_\": 29,\n \"$_NOT_\": 8,\n \"$_ORNOT_\": 47,\n \"$_OR_\": 189,\n \"$_XNOR_\": 32,\n \"$_XOR_\": 24,\n \"$_DFF_PP0_\": 1,\n \"$paramod\\\\tcm_mem_pmem_fifo2\\\\WIDTH=s32'000000000000000000000000000001\n...[1508 chars elided]...\n \"error\": null\n}", "plan_id": "e7b1e229ff84", "design_id": "4de5e2e45806", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/ultraembedded/riscv", "commit": "7ae6f803e30f78c6ea3121e73c3adf50ff912730", "path": "top_tcm_wrapper/tcm_mem_pmem.v", "sha256": "171b6a903df5b76b98893acdbfd6c75e029a21ffce6f916789129bac08de51aa"}} {"question": "For NV_NVDLA_RUBIK_wrdma_cmd, which has a 4x73 flop-RAM FIFO instantiated in it, how much area reduction should I expect if I apply an area-targeted optimization flow that includes memory inference and aggressive operator sharing, what delay cost comes with it, and how big is the control logic that the flow would be working on (registers, always blocks, cyclomatic complexity)?", "answer": "The area-targeted flow (including 'memory -nomap; memory_bram' and 'share -aggressive') is estimated to give -15.0 area with a +5.0 delay penalty and -10.0 power. It would be working on a design with 25 regs, 14 always blocks, and a cyclomatic complexity of 72, which includes the NV_NVDLA_RUBIK_wrdma_cmd_flopram_rwsa_4x73 FIFO storage that is a candidate for memory inference.", "source_file": "github_repos/nvdla_hw/vmod/nvdla/rubik/NV_NVDLA_RUBIK_wrdma_cmd.v", "module_name": "NV_NVDLA_RUBIK_wrdma_cmd", "tool_name": "optimization_advisor+static_analyzer", "tool_parameters": [{"target_metric": "area"}, {"analysis_type": "full"}], "tool_result": "[optimization_advisor {\"target_metric\": \"area\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"area\",\n \"recommended_recipes\": [\n \"synth -top NV_NVDLA_RUBIK_wrdma_cmd -flatten\",\n \"opt -full; share -aggressive; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean -purge\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"memory_optimization\",\n \"description\": \"Consider using memory inference for large arrays\",\n \"command\": \"memory -nomap; memory_bram\"\n },\n {\n \"type\": \"mux_optimization\",\n \"description\": \"Share multiplexers where possible\",\n \"command\": \"muxcover; opt\"\n },\n {\n \"type\": \"resource_sharing\",\n \"description\": \"Share arithmetic operators\",\n \"command\": \"share -aggressive\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": -15.0,\n \"delay\": 5.0,\n \"power\": -10.0\n },\n \"trade_offs\": [\n \"Area optimization may increase delay\",\n \"Aggressive sharing increases routing complexity\"\n ],\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"NV_NVDLA_RUBIK_wrdma_cmd\",\n \"port_count\": {\n \"inputs\": 19,\n \"outputs\": 6,\n \"inouts\": 0,\n \"total\": 25\n },\n \"signal_count\": {\n \"wires\": 39,\n \"regs\": 25,\n \"parameters\": 1,\n \"total\": 64\n },\n \"always_blocks\": 14,\n \"assign_statements\": 17,\n \"instantiations\": [\n \"the\",\n \"Based\",\n \"Clock\",\n \"NV_BLKBOX_SINK\",\n \"NV_CLK_gate_power\",\n \"fifo\",\n \"of\",\n \"set_boundary_optimization\",\n \"perfmon_histogram\",\n \"NV_NVDLA_RUBIK_wrdma_cmd_flopram_rwsa_4x73\",\n \"vmw_NV_NVDLA_RUBIK_wrdma_cmd_flopram_rwsa_4x73\",\n \"dangles\",\n \"NV_BLKBOX_SRC0\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 412,\n \"total_lines\": 665,\n \"cyclomatic_complexity\": 72,\n \"nesting_depth\": 54,\n \"operator_count\": 751\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "category": "multi_tool", "subcategory": "optimization_advisor+static_analyzer", "difficulty": "compositional", "question_hash": "38e5791ad139", "stage1_target": "[{\"tool\": \"optimization_advisor\", \"parameters\": {\"target_metric\": \"area\"}}, {\"tool\": \"static_analyzer\", \"parameters\": {\"analysis_type\": \"full\"}}]", "stage2_context": "Question: For NV_NVDLA_RUBIK_wrdma_cmd, which has a 4x73 flop-RAM FIFO instantiated in it, how much area reduction should I expect if I apply an area-targeted optimization flow that includes memory inference and aggressive operator sharing, what delay cost comes with it, and how big is the control logic that the flow would be working on (registers, always blocks, cyclomatic complexity)?\n\n[optimization_advisor {\"target_metric\": \"area\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"area\",\n \"recommended_recipes\": [\n \"synth -top NV_NVDLA_RUBIK_wrdma_cmd -flatten\",\n \"opt -full; share -aggressive; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean -purge\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"memory_optimization\",\n \"description\": \"Consider using memory inference for large arrays\",\n \"command\": \"memory -nomap; memory_bram\"\n },\n {\n \"type\": \"mux_optimization\",\n \"description\": \"Share multiplexers where possible\",\n \"command\": \"muxcover; opt\"\n },\n {\n \"type\": \"resource_sharing\",\n \"description\": \"Share arithmetic operators\",\n \"command\": \"share -aggressive\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": -15.0,\n \"delay\": 5.0,\n \"power\": -10.0\n },\n \"trade_offs\": [\n \"Area optimization may increase delay\",\n \"Aggressive sharing increases routing complexity\"\n ],\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"NV_NVDLA_RUBIK_wrdma_cmd\",\n \"port_count\": {\n \"inputs\": 19,\n \"outputs\": 6,\n \"inouts\": 0,\n \"total\": 25\n },\n \"signal_count\": {\n \"wires\": 39,\n \"regs\": 25,\n \"parameters\": 1,\n \"total\": 64\n },\n \"always_blocks\": 14,\n \"assign_statements\": 17,\n \"instantiations\": [\n \"the\",\n \"Based\",\n \"Clock\",\n \"NV_BLKBOX_SINK\",\n \"NV_CLK_gate_power\",\n \"fifo\",\n \"of\",\n \"set_boundary_optimization\",\n \"perfmon_histogram\",\n \"NV_NVDLA_RUBIK_wrdma_cmd_flopram_rwsa_4x73\",\n \"vmw_NV_NVDLA_RUBIK_wrdma_cmd_flopram_rwsa_4x73\",\n \"dangles\",\n \"NV_BLKBOX_SRC0\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 412,\n \"total_lines\": 665,\n \"cyclomatic_complexity\": 72,\n \"nesting_depth\": 54,\n \"operator_count\": 751\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "plan_id": "c951a27dcc13", "design_id": "4f738335f9fd", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/nvdla/hw", "commit": "8e06b1b9d85aab65b40d43d08eec5ea4681ff715", "path": "vmod/nvdla/rubik/NV_NVDLA_RUBIK_wrdma_cmd.v", "sha256": "14b786912da91e083155b1f4872d28456c45ada5ffc984e371a4eda7eedde71a"}} {"question": "For the serving module, how well do the RTL signals line up with the synthesized netlist, and if I optimize for power, what improvement can I expect and what does the advisor recommend I add?", "answer": "The RTL-to-netlist mapping of serving has an alignment score of 95.45, with 21 of 22 RTL signals mapped and only the 'wire' element left unmapped. With power as the target, the estimated power improvement is -25.0 (area and delay each 5.0), and the main recommendation is clock gating using the 'clockgate' command, which adds timing complexity.", "source_file": "github_repos/olofk_serv/serving/serving.v", "module_name": "serving", "tool_name": "cross_stage_mapper+optimization_advisor", "tool_parameters": [{}, {"target_metric": "power"}], "tool_result": "[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"o_wb_sel\": [\n \"o_wb_sel\"\n ],\n \"wire\": [],\n \"i_rst\": [\n \"i_rst\"\n ],\n \"i_clk\": [\n \"i_clk\"\n ],\n \"sram_ren\": [\n \"sram_ren\"\n ],\n \"o_wb_stb\": [\n \"o_wb_stb\"\n ],\n \"wb_mem_adr\": [\n \"wb_mem_adr\"\n ],\n \"i_wb_rdt\": [\n \"i_wb_rdt\"\n ],\n \"rf_ren\": [\n \"rf_ren\"\n ],\n \"wb_mem_dat\": [\n \"wb_mem_dat\"\n ],\n \"i_timer_irq\": [\n \"i_timer_irq\"\n ],\n \"wb_mem_rdt\": [\n \"wb_mem_rdt\"\n ],\n \"rf_wen\": [\n \"rf_wen\"\n ],\n \"o_wb_dat\": [\n \"o_wb_dat\"\n ],\n \"wb_mem_sel\": [\n \"wb_mem_sel\"\n ],\n \"i_wb_ack\": [\n \"i_wb_ack\"\n ],\n \"wb_mem_ack\": [\n \"wb_mem_ack\"\n ],\n \"sram_wen\": [\n \"sram_wen\"\n ],\n \"o_wb_we\": [\n \"o_wb_we\"\n ],\n \"wb_mem_stb\": [\n \"wb_mem_stb\"\n ],\n \"wb_mem_we\": [\n \"wb_mem_we\"\n ],\n \"o_wb_adr\": [\n \"o_wb_adr\"\n ]\n },\n \"alignment_score\": 95.45,\n \"unmapped_elements\": [\n \"wire\"\n ],\n \"mapping_statistics\": {\n \"rtl_signals\": 22,\n \"netlist_wires\": 29,\n \"netlist_cells\": 0,\n \"mapped_signals\": 21,\n \"unmapped_signals\": 1\n },\n \"error\": null\n}\n\n[optimization_advisor {\"target_metric\": \"power\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"power\",\n \"recommended_recipes\": [\n \"synth -top serving\",\n \"opt; share; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean; clockgate\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"clock_gating\",\n \"description\": \"Insert clock gating for registers\",\n \"command\": \"clockgate\"\n },\n {\n \"type\": \"operand_isolation\",\n \"description\": \"Isolate operands when not in use\",\n \"command\": \"Use enable signals for arithmetic\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": 5.0,\n \"delay\": 5.0,\n \"power\": -25.0\n },\n \"trade_offs\": [\n \"Power optimization may add area overhead\",\n \"Clock gating adds timing complexity\"\n ],\n \"error\": null\n}", "category": "multi_tool", "subcategory": "cross_stage_mapper+optimization_advisor", "difficulty": "compositional", "question_hash": "84b71345c26c", "stage1_target": "[{\"tool\": \"cross_stage_mapper\", \"parameters\": {}}, {\"tool\": \"optimization_advisor\", \"parameters\": {\"target_metric\": \"power\"}}]", "stage2_context": "Question: For the serving module, how well do the RTL signals line up with the synthesized netlist, and if I optimize for power, what improvement can I expect and what does the advisor recommend I add?\n\n[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"o_wb_sel\": [\n \"o_wb_sel\"\n ],\n \"wire\": [],\n \"i_rst\": [\n \"i_rst\"\n ],\n \"i_clk\": [\n \"i_clk\"\n ],\n \"sram_ren\": [\n \"sram_ren\"\n ],\n \"o_wb_stb\": [\n \"o_wb_stb\"\n ],\n \"wb_mem_adr\": [\n \"wb_mem_adr\"\n ],\n \"i_wb_rdt\": [\n \"i_wb_rdt\"\n ],\n \"rf_ren\": [\n \"rf_ren\"\n ],\n \"wb_mem_dat\": [\n \"wb_mem_dat\"\n ],\n \"i_timer_irq\": [\n \"i_timer_irq\"\n ],\n \"wb_mem_rdt\": [\n \"wb_mem_rdt\"\n ],\n \"rf_wen\": [\n \"rf_wen\"\n ],\n \"o_wb_dat\": [\n \"o_wb_dat\"\n ],\n \"wb_mem_sel\": [\n \"wb_mem_sel\"\n ],\n \"i_wb_ack\": [\n \"i_wb_ack\"\n ],\n \"wb_mem_ack\": [\n \"wb_mem_ack\"\n ],\n \"sram_wen\": [\n \"sram_wen\"\n ],\n \"o_wb_we\": [\n \"o_wb_we\"\n ],\n \"wb_mem_stb\": [\n \"wb_mem_stb\"\n ],\n \"wb_mem_we\": [\n \"wb_mem_we\"\n ],\n \"o_wb_adr\": [\n \"o_wb_adr\"\n ]\n },\n \"alignment_score\": 95.45,\n \"unmapped_elements\": [\n \"wire\"\n ],\n \"mapping_statistics\": {\n \"rtl_signals\": 22,\n \"netlist_wires\": 29,\n \"netlist_cells\": 0,\n \"mapped_signals\": 21,\n \"unmapped_signals\": 1\n },\n \"error\": null\n}\n\n[optimization_advisor {\"target_metric\": \"power\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"power\",\n \"recommended_recipes\": [\n \"synth -top serving\",\n \"opt; share; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean; clockgate\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"clock_gating\",\n \"description\": \"Insert clock gating for registers\",\n \"command\": \"clockgate\"\n },\n {\n \"type\": \"operand_isolation\",\n \"description\": \"Isolate operands when not in use\",\n \"command\": \"Use enable signals for arithmetic\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": 5.0,\n \"delay\": 5.0,\n \"power\": -25.0\n },\n \"trade_offs\": [\n \"Power optimization may add area overhead\",\n \"Clock gating adds timing complexity\"\n ],\n \"error\": null\n}", "plan_id": "4eb6516023c8", "design_id": "500e27ec475f", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/olofk/serv", "commit": "f200eb2ed7b69ac1c6b8eddd47654522aeee5ce8", "path": "serving/serving.v", "sha256": "190502b9f455bc5f19e68130d94066b77f4b049704f95a18781f96c8cf1f446d"}} {"question": "For ecp5_evn_pll, the area-focused optimization plan recommends aggressive arithmetic operator sharing and estimates an area improvement. Given the module's structure (always blocks, assign statements, and port count), is that sharing step likely to give any real benefit, and what trade-offs does the plan point out?", "answer": "Probably not: ecp5_evn_pll has 0 always blocks, 0 assign statements and only 3 ports (1 input, 2 outputs), with a cyclomatic complexity of 1, so there is little or no arithmetic for 'share -aggressive' to merge, even though the plan estimates a -15.0 area change. The plan also warns that the area-targeted flow may increase delay (estimated 5.0) and that aggressive sharing increases routing complexity.", "source_file": "github_repos/olofk_serv/servant/ecp5_evn_pll.v", "module_name": "ecp5_evn_pll", "tool_name": "optimization_advisor+static_analyzer", "tool_parameters": [{"target_metric": "area"}, {"analysis_type": "full"}], "tool_result": "[optimization_advisor {\"target_metric\": \"area\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"area\",\n \"recommended_recipes\": [\n \"synth -top ecp5_evn_pll -flatten\",\n \"opt -full; share -aggressive; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean -purge\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"resource_sharing\",\n \"description\": \"Share arithmetic operators\",\n \"command\": \"share -aggressive\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": -15.0,\n \"delay\": 5.0,\n \"power\": -10.0\n },\n \"trade_offs\": [\n \"Area optimization may increase delay\",\n \"Aggressive sharing increases routing complexity\"\n ],\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"ecp5_evn_pll\",\n \"port_count\": {\n \"inputs\": 1,\n \"outputs\": 2,\n \"inouts\": 0,\n \"total\": 3\n },\n \"signal_count\": {\n \"wires\": 0,\n \"regs\": 0,\n \"parameters\": 0,\n \"total\": 0\n },\n \"always_blocks\": 0,\n \"assign_statements\": 0,\n \"instantiations\": [],\n \"code_complexity\": {\n \"lines_of_code\": 42,\n \"total_lines\": 49,\n \"cyclomatic_complexity\": 1,\n \"nesting_depth\": 0,\n \"operator_count\": 42\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "category": "multi_tool", "subcategory": "optimization_advisor+static_analyzer", "difficulty": "compositional", "question_hash": "eb6ce4bb3a19", "stage1_target": "[{\"tool\": \"optimization_advisor\", \"parameters\": {\"target_metric\": \"area\"}}, {\"tool\": \"static_analyzer\", \"parameters\": {\"analysis_type\": \"full\"}}]", "stage2_context": "Question: For ecp5_evn_pll, the area-focused optimization plan recommends aggressive arithmetic operator sharing and estimates an area improvement. Given the module's structure (always blocks, assign statements, and port count), is that sharing step likely to give any real benefit, and what trade-offs does the plan point out?\n\n[optimization_advisor {\"target_metric\": \"area\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"area\",\n \"recommended_recipes\": [\n \"synth -top ecp5_evn_pll -flatten\",\n \"opt -full; share -aggressive; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean -purge\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"resource_sharing\",\n \"description\": \"Share arithmetic operators\",\n \"command\": \"share -aggressive\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": -15.0,\n \"delay\": 5.0,\n \"power\": -10.0\n },\n \"trade_offs\": [\n \"Area optimization may increase delay\",\n \"Aggressive sharing increases routing complexity\"\n ],\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"ecp5_evn_pll\",\n \"port_count\": {\n \"inputs\": 1,\n \"outputs\": 2,\n \"inouts\": 0,\n \"total\": 3\n },\n \"signal_count\": {\n \"wires\": 0,\n \"regs\": 0,\n \"parameters\": 0,\n \"total\": 0\n },\n \"always_blocks\": 0,\n \"assign_statements\": 0,\n \"instantiations\": [],\n \"code_complexity\": {\n \"lines_of_code\": 42,\n \"total_lines\": 49,\n \"cyclomatic_complexity\": 1,\n \"nesting_depth\": 0,\n \"operator_count\": 42\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "plan_id": "f91535717b30", "design_id": "544d37ccd07a", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/olofk/serv", "commit": "f200eb2ed7b69ac1c6b8eddd47654522aeee5ce8", "path": "servant/ecp5_evn_pll.v", "sha256": "342964ee6098eaaeb552cb8fb26a65cd405bc58553bbadec8f9510d8a22dac31"}} {"question": "For apb_adv_timer, the CDFG shows how many enable flip-flop nodes and timer/clock-gate submodule instances, and after medium-effort synthesis do those submodules survive as black-box cells next to the gate-level flops? Please also give the synthesized area and critical-path delay.", "answer": "The CDFG for apb_adv_timer has 4 $adffe nodes plus 4 timer_module and 4 e203_clkgate instances, out of 47 nodes in total. After synthesis the 4 timer_module, 4 e203_clkgate and 1 adv_timer_apb_if cells are still there as hierarchical cells, and the enable flops become 8 $_DFFE_PN0P_ cells. The synthesized netlist has 205 cells, an area of 223.0 and a critical-path delay of 237.49.", "source_file": "github_repos/riscv-mcu_e203_hbirdv2/rtl/e203/perips/apb_adv_timer/apb_adv_timer.v", "module_name": "apb_adv_timer", "tool_name": "graph_extractor+synthesis_tool", "tool_parameters": [{"graph_type": "CDFG"}, {"optimization_level": "medium"}], "tool_result": "[graph_extractor {\"graph_type\": \"CDFG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"CDFG\",\n...[33944 chars elided]...\n \"node_count\": 47,\n \"edge_count\": 2007,\n \"graph_properties\": {\n \"node_types\": {\n \"$and\": 8,\n \"$not\": 4,\n \"$shiftx\": 4,\n \"$adffe\": 4,\n \"e203_clkgate\": 4,\n \"adv_timer_apb_if\": 1,\n \"timer_module\": 4,\n \"port_input\": 10,\n \"port_output\": 8\n },\n \"avg_degree\": 42.7,\n \"module_name\": \"apb_adv_timer\"\n },\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 223.0,\n \"delay\": 237.49,\n \"power\": 0.205,\n \"gate_count\": 205,\n \"cell_breakdown\": {\n \"$_ANDNOT_\": 4,\n \"$_AND_\": 33,\n \"$_DFFE_PN0P_\": 8,\n \"$_NAND_\": 75,\n \"$_ORNOT_\": 32,\n \"$_OR_\": 44,\n \"adv_timer_apb_if\": 1,\n \"e203_clkgate\": 4,\n \"timer_module\": 4\n },\n \"wire_count\": 344,\n \"wire_bits\": 1485,\n \"critical_path_estimate\": 237.49,\n...[1287 chars elided]...\n \"error\": null\n}", "category": "multi_tool", "subcategory": "graph_extractor+synthesis_tool", "difficulty": "compositional", "question_hash": "9dbdd1c2717a", "stage1_target": "[{\"tool\": \"graph_extractor\", \"parameters\": {\"graph_type\": \"CDFG\"}}, {\"tool\": \"synthesis_tool\", \"parameters\": {\"optimization_level\": \"medium\"}}]", "stage2_context": "Question: For apb_adv_timer, the CDFG shows how many enable flip-flop nodes and timer/clock-gate submodule instances, and after medium-effort synthesis do those submodules survive as black-box cells next to the gate-level flops? Please also give the synthesized area and critical-path delay.\n\n[graph_extractor {\"graph_type\": \"CDFG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"CDFG\",\n...[33944 chars elided]...\n \"node_count\": 47,\n \"edge_count\": 2007,\n \"graph_properties\": {\n \"node_types\": {\n \"$and\": 8,\n \"$not\": 4,\n \"$shiftx\": 4,\n \"$adffe\": 4,\n \"e203_clkgate\": 4,\n \"adv_timer_apb_if\": 1,\n \"timer_module\": 4,\n \"port_input\": 10,\n \"port_output\": 8\n },\n \"avg_degree\": 42.7,\n \"module_name\": \"apb_adv_timer\"\n },\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 223.0,\n \"delay\": 237.49,\n \"power\": 0.205,\n \"gate_count\": 205,\n \"cell_breakdown\": {\n \"$_ANDNOT_\": 4,\n \"$_AND_\": 33,\n \"$_DFFE_PN0P_\": 8,\n \"$_NAND_\": 75,\n \"$_ORNOT_\": 32,\n \"$_OR_\": 44,\n \"adv_timer_apb_if\": 1,\n \"e203_clkgate\": 4,\n \"timer_module\": 4\n },\n \"wire_count\": 344,\n \"wire_bits\": 1485,\n \"critical_path_estimate\": 237.49,\n...[1287 chars elided]...\n \"error\": null\n}", "plan_id": "9fbb02166640", "design_id": "562a0292e4fb", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/riscv-mcu/e203_hbirdv2", "commit": "9f3e34f337f5d0a1236a285871ffa2032491617a", "path": "rtl/e203/perips/apb_adv_timer/apb_adv_timer.v", "sha256": "e7ca6e01e532ef4219fe4231c75f9da93f6451bb30637a5b4371698ffb758096"}} {"question": "For the clock-gating cell CKLNQD12PO4, how does its source-level structure (single always block, single assign statement, cyclomatic complexity) line up with the gates it maps to at medium optimization, and what area and delay does that mapping give?", "answer": "CKLNQD12PO4 has 1 always block, 1 assign statement and a cyclomatic complexity of 2, which matches the mapped netlist: one negative-edge latch-style element ($_DFF_N_: 1) plus one $_AND_ and one $_OR_ gate, 3 gates in total. That mapping gives an area of 6.0 and a critical path delay of 115.87.", "source_file": "github_repos/nvdla_hw/vmod/vlibs/CKLNQD12PO4.v", "module_name": "CKLNQD12PO4", "tool_name": "static_analyzer+synthesis_tool", "tool_parameters": [{"analysis_type": "full"}, {"optimization_level": "medium"}], "tool_result": "[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"CKLNQD12PO4\",\n \"port_count\": {\n \"inputs\": 3,\n \"outputs\": 1,\n \"inouts\": 0,\n \"total\": 4\n },\n \"signal_count\": {\n \"wires\": 0,\n \"regs\": 1,\n \"parameters\": 0,\n \"total\": 1\n },\n \"always_blocks\": 1,\n \"assign_statements\": 1,\n \"instantiations\": [],\n \"code_complexity\": {\n \"lines_of_code\": 15,\n \"total_lines\": 29,\n \"cyclomatic_complexity\": 2,\n \"nesting_depth\": 0,\n \"operator_count\": 150\n },\n \"lint_warnings\": [],\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 6.0,\n \"delay\": 115.87,\n \"power\": 0.003,\n \"gate_count\": 3,\n \"cell_breakdown\": {\n \"$_AND_\": 1,\n \"$_DFF_N_\": 1,\n \"$_OR_\": 1\n },\n \"wire_count\": 6,\n \"wire_bits\": 6,\n \"critical_path_estimate\": 115.87,\n...[1117 chars elided]...\n \"error\": null\n}", "category": "multi_tool", "subcategory": "static_analyzer+synthesis_tool", "difficulty": "compositional", "question_hash": "db9b34e0c7e6", "stage1_target": "[{\"tool\": \"static_analyzer\", \"parameters\": {\"analysis_type\": \"full\"}}, {\"tool\": \"synthesis_tool\", \"parameters\": {\"optimization_level\": \"medium\"}}]", "stage2_context": "Question: For the clock-gating cell CKLNQD12PO4, how does its source-level structure (single always block, single assign statement, cyclomatic complexity) line up with the gates it maps to at medium optimization, and what area and delay does that mapping give?\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"CKLNQD12PO4\",\n \"port_count\": {\n \"inputs\": 3,\n \"outputs\": 1,\n \"inouts\": 0,\n \"total\": 4\n },\n \"signal_count\": {\n \"wires\": 0,\n \"regs\": 1,\n \"parameters\": 0,\n \"total\": 1\n },\n \"always_blocks\": 1,\n \"assign_statements\": 1,\n \"instantiations\": [],\n \"code_complexity\": {\n \"lines_of_code\": 15,\n \"total_lines\": 29,\n \"cyclomatic_complexity\": 2,\n \"nesting_depth\": 0,\n \"operator_count\": 150\n },\n \"lint_warnings\": [],\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 6.0,\n \"delay\": 115.87,\n \"power\": 0.003,\n \"gate_count\": 3,\n \"cell_breakdown\": {\n \"$_AND_\": 1,\n \"$_DFF_N_\": 1,\n \"$_OR_\": 1\n },\n \"wire_count\": 6,\n \"wire_bits\": 6,\n \"critical_path_estimate\": 115.87,\n...[1117 chars elided]...\n \"error\": null\n}", "plan_id": "60f785181180", "design_id": "55897ebbee3d", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/nvdla/hw", "commit": "8e06b1b9d85aab65b40d43d08eec5ea4681ff715", "path": "vmod/vlibs/CKLNQD12PO4.v", "sha256": "b7a425e4fb0915b9eeeb0089a4029ae85f4f0d5b6ebdff120d73a2100981c51d"}} {"question": "In RAMPDP_160X82_GL_M2_D2, how much latch-based storage does the DFG contain compared with the edge-triggered flip-flops, and does that fit with how many always blocks and reg declarations the RTL has?", "answer": "The DFG for RAMPDP_160X82_GL_M2_D2 has 85 $dlatch nodes but only 2 $dff nodes, out of 763 nodes in total, so most of the inferred storage is level-sensitive latches. This fits the RTL, which has 22 always blocks and 34 regs and a cyclomatic complexity of 178, which suggests many incompletely assigned combinational processes that infer hold latches.", "source_file": "github_repos/nvdla_hw/vmod/rams/model/RAMPDP_160X82_GL_M2_D2.v", "module_name": "RAMPDP_160X82_GL_M2_D2", "tool_name": "graph_extractor+static_analyzer", "tool_parameters": [{"graph_type": "DFG"}, {"analysis_type": "full"}], "tool_result": "[graph_extractor {\"graph_type\": \"DFG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"DFG\",\n...[57468 chars elided]...\n \"node_count\": 763,\n \"edge_count\": 26366,\n \"graph_properties\": {\n \"node_types\": {\n \"$not\": 96,\n \"$reduce_or\": 80,\n \"$and\": 108,\n \"$dlatch\": 85,\n \"$eq\": 158,\n \"$pmux\": 1,\n \"$logic_not\": 6,\n \"port_input\": 136,\n \"port_output\": 84,\n \"RAM_BANK_RAMPDP_160X82_GL_M2_D2\": 1,\n \"$or\": 4,\n \"$dff\": 2,\n \"$paramod$bc81c79e7d3514e16c66d489c274516224c265df\\\\RAMPDP_160X82_GL_M2_D2_ram\": 2\n },\n \"avg_degree\": 34.56,\n \"module_name\": \"RAMPDP_160X82_GL_M2_D2\"\n },\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"RAMPDP_160X82_GL_M2_D2\",\n \"port_count\": {\n \"inputs\": 58,\n \"outputs\": 5,\n \"inouts\": 0,\n \"total\": 63\n },\n \"signal_count\": {\n \"wires\": 218,\n \"regs\": 34,\n \"parameters\": 7,\n \"total\": 252\n },\n \"always_blocks\": 22,\n \"assign_statements\": 40,\n \"instantiations\": [\n \"endif\",\n \"set\",\n \"no\",\n \"part\",\n \"1\",\n \"plusargs\",\n \"row\",\n \"off\",\n \"RAM_BANK_RAMPDP_160X82_GL_M2_D2\",\n \"ifdef\",\n \"SIM_and_FAULT\",\n \"is\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 1128,\n \"total_lines\": 1494,\n \"cyclomatic_complexity\": 178,\n \"nesting_depth\": 98,\n \"operator_count\": 1648\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "category": "multi_tool", "subcategory": "graph_extractor+static_analyzer", "difficulty": "compositional", "question_hash": "7edac9b9dea2", "stage1_target": "[{\"tool\": \"graph_extractor\", \"parameters\": {\"graph_type\": \"DFG\"}}, {\"tool\": \"static_analyzer\", \"parameters\": {\"analysis_type\": \"full\"}}]", "stage2_context": "Question: In RAMPDP_160X82_GL_M2_D2, how much latch-based storage does the DFG contain compared with the edge-triggered flip-flops, and does that fit with how many always blocks and reg declarations the RTL has?\n\n[graph_extractor {\"graph_type\": \"DFG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"DFG\",\n...[57468 chars elided]...\n \"node_count\": 763,\n \"edge_count\": 26366,\n \"graph_properties\": {\n \"node_types\": {\n \"$not\": 96,\n \"$reduce_or\": 80,\n \"$and\": 108,\n \"$dlatch\": 85,\n \"$eq\": 158,\n \"$pmux\": 1,\n \"$logic_not\": 6,\n \"port_input\": 136,\n \"port_output\": 84,\n \"RAM_BANK_RAMPDP_160X82_GL_M2_D2\": 1,\n \"$or\": 4,\n \"$dff\": 2,\n \"$paramod$bc81c79e7d3514e16c66d489c274516224c265df\\\\RAMPDP_160X82_GL_M2_D2_ram\": 2\n },\n \"avg_degree\": 34.56,\n \"module_name\": \"RAMPDP_160X82_GL_M2_D2\"\n },\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"RAMPDP_160X82_GL_M2_D2\",\n \"port_count\": {\n \"inputs\": 58,\n \"outputs\": 5,\n \"inouts\": 0,\n \"total\": 63\n },\n \"signal_count\": {\n \"wires\": 218,\n \"regs\": 34,\n \"parameters\": 7,\n \"total\": 252\n },\n \"always_blocks\": 22,\n \"assign_statements\": 40,\n \"instantiations\": [\n \"endif\",\n \"set\",\n \"no\",\n \"part\",\n \"1\",\n \"plusargs\",\n \"row\",\n \"off\",\n \"RAM_BANK_RAMPDP_160X82_GL_M2_D2\",\n \"ifdef\",\n \"SIM_and_FAULT\",\n \"is\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 1128,\n \"total_lines\": 1494,\n \"cyclomatic_complexity\": 178,\n \"nesting_depth\": 98,\n \"operator_count\": 1648\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "plan_id": "86d85388b4e9", "design_id": "5635d475c932", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/nvdla/hw", "commit": "8e06b1b9d85aab65b40d43d08eec5ea4681ff715", "path": "vmod/rams/model/RAMPDP_160X82_GL_M2_D2.v", "sha256": "3d9b945b70f56f4d303b8f7586b87fdec035fde1188c41a2eb6074c4d4c6460e"}} {"question": "For p_STRICTSYNC3DOTM_C_PPP, the RTL signals src_d_f and dst_d2 have no counterpart in the netlist. Since we're thinking about a delay-targeted optimization flow, how good is the RTL-to-netlist alignment right now, and what delay gain and area cost should we expect if we apply that flow?", "answer": "The RTL-to-netlist alignment score for p_STRICTSYNC3DOTM_C_PPP is 83.33, with 10 signals mapped and 2 unmapped (src_d_f and dst_d2), which means some internal synchronizer stage registers can't be traced in the netlist. The delay-targeted flow (synth, opt -fast, abc -fast, opt_clean) is estimated to change delay by -20.0 and area by 10.0, so speed improves at the cost of more area.", "source_file": "github_repos/nvdla_hw/vmod/vlibs/p_STRICTSYNC3DOTM_C_PPP.v", "module_name": "p_STRICTSYNC3DOTM_C_PPP", "tool_name": "cross_stage_mapper+optimization_advisor", "tool_parameters": [{}, {"target_metric": "delay"}], "tool_result": "[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"TEST_MODE\": [\n \"TEST_MODE\"\n ],\n \"src_sel\": [\n \"src_sel\"\n ],\n \"DST_Q\": [\n \"DST_Q\"\n ],\n \"DST_CLRN\": [\n \"DST_CLRN\"\n ],\n \"SRC_CLK\": [\n \"SRC_CLK\"\n ],\n \"SRC_D_NEXT\": [\n \"SRC_D_NEXT\"\n ],\n \"DST_CLK\": [\n \"DST_CLK\"\n ],\n \"src_d_f\": [],\n \"ATPG_CTL\": [\n \"ATPG_CTL\"\n ],\n \"SRC_CLRN\": [\n \"SRC_CLRN\"\n ],\n \"SRC_D\": [\n \"SRC_D_NEXT\",\n \"SRC_D\"\n ],\n \"dst_d2\": []\n },\n \"alignment_score\": 83.33,\n \"unmapped_elements\": [\n \"src_d_f\",\n \"dst_d2\"\n ],\n \"mapping_statistics\": {\n \"rtl_signals\": 12,\n \"netlist_wires\": 11,\n \"netlist_cells\": 0,\n \"mapped_signals\": 10,\n \"unmapped_signals\": 2\n },\n \"error\": null\n}\n\n[optimization_advisor {\"target_metric\": \"delay\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"delay\",\n \"recommended_recipes\": [\n \"synth -top p_STRICTSYNC3DOTM_C_PPP\",\n \"opt -fast\",\n \"abc -fast -liberty stdcells.lib\",\n \"opt_clean\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"pipeline_insertion\",\n \"description\": \"Consider pipelining arithmetic operations\",\n \"command\": \"Use register retiming\"\n },\n {\n \"type\": \"logic_duplication\",\n \"description\": \"Duplicate logic to reduce fanout\",\n \"command\": \"splitnets -driver\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": 10.0,\n \"delay\": -20.0,\n \"power\": 5.0\n },\n \"trade_offs\": [\n \"Speed optimization increases area\",\n \"Higher power consumption\"\n ],\n \"error\": null\n}", "category": "multi_tool", "subcategory": "cross_stage_mapper+optimization_advisor", "difficulty": "compositional", "question_hash": "d136c4ab7ff5", "stage1_target": "[{\"tool\": \"cross_stage_mapper\", \"parameters\": {}}, {\"tool\": \"optimization_advisor\", \"parameters\": {\"target_metric\": \"delay\"}}]", "stage2_context": "Question: For p_STRICTSYNC3DOTM_C_PPP, the RTL signals src_d_f and dst_d2 have no counterpart in the netlist. Since we're thinking about a delay-targeted optimization flow, how good is the RTL-to-netlist alignment right now, and what delay gain and area cost should we expect if we apply that flow?\n\n[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"TEST_MODE\": [\n \"TEST_MODE\"\n ],\n \"src_sel\": [\n \"src_sel\"\n ],\n \"DST_Q\": [\n \"DST_Q\"\n ],\n \"DST_CLRN\": [\n \"DST_CLRN\"\n ],\n \"SRC_CLK\": [\n \"SRC_CLK\"\n ],\n \"SRC_D_NEXT\": [\n \"SRC_D_NEXT\"\n ],\n \"DST_CLK\": [\n \"DST_CLK\"\n ],\n \"src_d_f\": [],\n \"ATPG_CTL\": [\n \"ATPG_CTL\"\n ],\n \"SRC_CLRN\": [\n \"SRC_CLRN\"\n ],\n \"SRC_D\": [\n \"SRC_D_NEXT\",\n \"SRC_D\"\n ],\n \"dst_d2\": []\n },\n \"alignment_score\": 83.33,\n \"unmapped_elements\": [\n \"src_d_f\",\n \"dst_d2\"\n ],\n \"mapping_statistics\": {\n \"rtl_signals\": 12,\n \"netlist_wires\": 11,\n \"netlist_cells\": 0,\n \"mapped_signals\": 10,\n \"unmapped_signals\": 2\n },\n \"error\": null\n}\n\n[optimization_advisor {\"target_metric\": \"delay\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"delay\",\n \"recommended_recipes\": [\n \"synth -top p_STRICTSYNC3DOTM_C_PPP\",\n \"opt -fast\",\n \"abc -fast -liberty stdcells.lib\",\n \"opt_clean\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"pipeline_insertion\",\n \"description\": \"Consider pipelining arithmetic operations\",\n \"command\": \"Use register retiming\"\n },\n {\n \"type\": \"logic_duplication\",\n \"description\": \"Duplicate logic to reduce fanout\",\n \"command\": \"splitnets -driver\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": 10.0,\n \"delay\": -20.0,\n \"power\": 5.0\n },\n \"trade_offs\": [\n \"Speed optimization increases area\",\n \"Higher power consumption\"\n ],\n \"error\": null\n}", "plan_id": "4b45b8679c3b", "design_id": "5816f832e42f", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/nvdla/hw", "commit": "8e06b1b9d85aab65b40d43d08eec5ea4681ff715", "path": "vmod/vlibs/p_STRICTSYNC3DOTM_C_PPP.v", "sha256": "c8f138e831768effe3b42730746c67d37ffe7f3fb465dd04b207b395b9a30828"}} {"question": "In the AIG for scan_architect, how many cells are flip-flops and how many are combinational logic? Given that, is the suggested area optimization (aggressive arithmetic-operator sharing, with its estimated area improvement and delay trade-off) likely to help much?", "answer": "Of the 44 nodes in the scan_architect AIG, 10 are sky130_fd_sc_hd__dfbbn_1 and 10 are sky130_fd_sc_hd__dfstp_1 flip-flops, and the rest are 4 input ports and 20 output ports, so there are no combinational logic cells. The area plan estimates a -15.0 area change with a 5.0 delay penalty by using 'share -aggressive' to share arithmetic operators. In this register-only design there are no arithmetic operators to share, so most of that estimated gain probably will not happen, and any real savings would have to come from changing or merging the flip-flops themselves.", "source_file": "github_repos/The-OpenROAD-Project_OpenROAD/src/dft/test/scan_architect_sky130.v", "module_name": "scan_architect", "tool_name": "graph_extractor+optimization_advisor", "tool_parameters": [{"graph_type": "AIG"}, {"target_metric": "area"}], "tool_result": "[graph_extractor {\"graph_type\": \"AIG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"AIG\",\n...[13722 chars elided]...\n \"node_count\": 44,\n \"edge_count\": 80,\n \"graph_properties\": {\n \"node_types\": {\n \"sky130_fd_sc_hd__dfbbn_1\": 10,\n \"sky130_fd_sc_hd__dfstp_1\": 10,\n \"port_input\": 4,\n \"port_output\": 20\n },\n \"avg_degree\": 1.82,\n \"module_name\": \"scan_architect\"\n },\n \"error\": null\n}\n\n[optimization_advisor {\"target_metric\": \"area\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"area\",\n \"recommended_recipes\": [\n \"synth -top scan_architect -flatten\",\n \"opt -full; share -aggressive; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean -purge\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"resource_sharing\",\n \"description\": \"Share arithmetic operators\",\n \"command\": \"share -aggressive\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": -15.0,\n \"delay\": 5.0,\n \"power\": -10.0\n },\n \"trade_offs\": [\n \"Area optimization may increase delay\",\n \"Aggressive sharing increases routing complexity\"\n ],\n \"error\": null\n}", "category": "multi_tool", "subcategory": "graph_extractor+optimization_advisor", "difficulty": "compositional", "question_hash": "04744cd2af89", "stage1_target": "[{\"tool\": \"graph_extractor\", \"parameters\": {\"graph_type\": \"AIG\"}}, {\"tool\": \"optimization_advisor\", \"parameters\": {\"target_metric\": \"area\"}}]", "stage2_context": "Question: In the AIG for scan_architect, how many cells are flip-flops and how many are combinational logic? Given that, is the suggested area optimization (aggressive arithmetic-operator sharing, with its estimated area improvement and delay trade-off) likely to help much?\n\n[graph_extractor {\"graph_type\": \"AIG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"AIG\",\n...[13722 chars elided]...\n \"node_count\": 44,\n \"edge_count\": 80,\n \"graph_properties\": {\n \"node_types\": {\n \"sky130_fd_sc_hd__dfbbn_1\": 10,\n \"sky130_fd_sc_hd__dfstp_1\": 10,\n \"port_input\": 4,\n \"port_output\": 20\n },\n \"avg_degree\": 1.82,\n \"module_name\": \"scan_architect\"\n },\n \"error\": null\n}\n\n[optimization_advisor {\"target_metric\": \"area\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"area\",\n \"recommended_recipes\": [\n \"synth -top scan_architect -flatten\",\n \"opt -full; share -aggressive; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean -purge\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"resource_sharing\",\n \"description\": \"Share arithmetic operators\",\n \"command\": \"share -aggressive\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": -15.0,\n \"delay\": 5.0,\n \"power\": -10.0\n },\n \"trade_offs\": [\n \"Area optimization may increase delay\",\n \"Aggressive sharing increases routing complexity\"\n ],\n \"error\": null\n}", "plan_id": "8931cc615c62", "design_id": "59312613abde", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/The-OpenROAD-Project/OpenROAD", "commit": "3e3e483a4e3f98e2b5470b272040699de6dedbee", "path": "src/dft/test/scan_architect_sky130.v", "sha256": "8f974a55a662a87bf8035e37d62543a9abe824616b8bc25263a7e8ac1200ec88"}} {"question": "For e203_subsys_pllclkdiv, the power-targeted optimization suggests inserting clock gating, but the module already instantiates a clock gate and contains no procedural logic. Given its structure, how much does the suggested power optimization actually matter, and what does it cost?", "answer": "The power-targeted optimization estimates a -25.0 power improvement, with area and delay each rising by 5.0, mainly from the recommended 'clockgate' step. However, e203_subsys_pllclkdiv has 0 always blocks and 0 regs, and it already instantiates e203_clkgate. That means it has almost no local registers for extra gating to act on, so the benefit is probably small compared with the added timing complexity.", "source_file": "github_repos/riscv-mcu_e203_hbirdv2/rtl/e203/subsys/e203_subsys_pllclkdiv.v", "module_name": "e203_subsys_pllclkdiv", "tool_name": "optimization_advisor+static_analyzer", "tool_parameters": [{"target_metric": "power"}, {"analysis_type": "full"}], "tool_result": "[optimization_advisor {\"target_metric\": \"power\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"power\",\n \"recommended_recipes\": [\n \"synth -top e203_subsys_pllclkdiv\",\n \"opt; share; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean; clockgate\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"clock_gating\",\n \"description\": \"Insert clock gating for registers\",\n \"command\": \"clockgate\"\n },\n {\n \"type\": \"operand_isolation\",\n \"description\": \"Isolate operands when not in use\",\n \"command\": \"Use enable signals for arithmetic\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": 5.0,\n \"delay\": 5.0,\n \"power\": -25.0\n },\n \"trade_offs\": [\n \"Power optimization may add area overhead\",\n \"Clock gating adds timing complexity\"\n ],\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"e203_subsys_pllclkdiv\",\n \"port_count\": {\n \"inputs\": 5,\n \"outputs\": 1,\n \"inouts\": 0,\n \"total\": 6\n },\n \"signal_count\": {\n \"wires\": 8,\n \"regs\": 0,\n \"parameters\": 0,\n \"total\": 8\n },\n \"always_blocks\": 0,\n \"assign_statements\": 0,\n \"instantiations\": [\n \"e203_clkgate\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 39,\n \"total_lines\": 63,\n \"cyclomatic_complexity\": 2,\n \"nesting_depth\": 0,\n \"operator_count\": 182\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "category": "multi_tool", "subcategory": "optimization_advisor+static_analyzer", "difficulty": "compositional", "question_hash": "f178147768ea", "stage1_target": "[{\"tool\": \"optimization_advisor\", \"parameters\": {\"target_metric\": \"power\"}}, {\"tool\": \"static_analyzer\", \"parameters\": {\"analysis_type\": \"full\"}}]", "stage2_context": "Question: For e203_subsys_pllclkdiv, the power-targeted optimization suggests inserting clock gating, but the module already instantiates a clock gate and contains no procedural logic. Given its structure, how much does the suggested power optimization actually matter, and what does it cost?\n\n[optimization_advisor {\"target_metric\": \"power\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"power\",\n \"recommended_recipes\": [\n \"synth -top e203_subsys_pllclkdiv\",\n \"opt; share; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean; clockgate\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"clock_gating\",\n \"description\": \"Insert clock gating for registers\",\n \"command\": \"clockgate\"\n },\n {\n \"type\": \"operand_isolation\",\n \"description\": \"Isolate operands when not in use\",\n \"command\": \"Use enable signals for arithmetic\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": 5.0,\n \"delay\": 5.0,\n \"power\": -25.0\n },\n \"trade_offs\": [\n \"Power optimization may add area overhead\",\n \"Clock gating adds timing complexity\"\n ],\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"e203_subsys_pllclkdiv\",\n \"port_count\": {\n \"inputs\": 5,\n \"outputs\": 1,\n \"inouts\": 0,\n \"total\": 6\n },\n \"signal_count\": {\n \"wires\": 8,\n \"regs\": 0,\n \"parameters\": 0,\n \"total\": 8\n },\n \"always_blocks\": 0,\n \"assign_statements\": 0,\n \"instantiations\": [\n \"e203_clkgate\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 39,\n \"total_lines\": 63,\n \"cyclomatic_complexity\": 2,\n \"nesting_depth\": 0,\n \"operator_count\": 182\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "plan_id": "e32f953cdaf9", "design_id": "59f5c6e0e732", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/riscv-mcu/e203_hbirdv2", "commit": "9f3e34f337f5d0a1236a285871ffa2032491617a", "path": "rtl/e203/subsys/e203_subsys_pllclkdiv.v", "sha256": "652153dcf7c940083dbf3f4094473d35207ba3c20f3cf2bf7a16277b750c000a"}} {"question": "In the servant_timer module, the DFG has three register nodes ($sdff, $sdffe and $dff). After medium-effort synthesis, how many flip-flop cells of each kind come out, and how do they compare to the overall gate count and critical-path delay?", "answer": "The DFG for servant_timer has 14 nodes, one each of $sdff, $sdffe and $dff, along with $add, $sub, $ge and $and operators. After synthesis these registers become 16 $_SDFF_PP0_, 16 $_SDFFE_PP0P_ and 1 $_DFF_P_ cells, out of 238 total gates, and the critical path is 264.05.", "source_file": "github_repos/olofk_serv/servant/servant_timer.v", "module_name": "servant_timer", "tool_name": "graph_extractor+synthesis_tool", "tool_parameters": [{"graph_type": "DFG"}, {"optimization_level": "medium"}], "tool_result": "[graph_extractor {\"graph_type\": \"DFG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"DFG\",\n...[23633 chars elided]...\n \"node_count\": 14,\n \"edge_count\": 284,\n \"graph_properties\": {\n \"node_types\": {\n \"$and\": 1,\n \"$add\": 1,\n \"$ge\": 1,\n \"$sub\": 1,\n \"$sdff\": 1,\n \"$sdffe\": 1,\n \"$dff\": 1,\n \"port_input\": 5,\n \"port_output\": 2\n },\n \"avg_degree\": 20.29,\n \"module_name\": \"servant_timer\"\n },\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 336.5,\n \"delay\": 264.05,\n \"power\": 0.238,\n \"gate_count\": 238,\n \"cell_breakdown\": {\n \"$_AND_\": 85,\n \"$_DFF_P_\": 1,\n \"$_NAND_\": 21,\n \"$_NOR_\": 7,\n \"$_NOT_\": 33,\n \"$_OR_\": 11,\n \"$_SDFFE_PP0P_\": 16,\n \"$_SDFF_PP0_\": 16,\n \"$_XNOR_\": 2,\n \"$_XOR_\": 46\n },\n \"wire_count\": 108,\n \"wire_bits\": 339,\n \"critical_path_estimate\": 264.05,\n...[1294 chars elided]...\n \"error\": null\n}", "category": "multi_tool", "subcategory": "graph_extractor+synthesis_tool", "difficulty": "compositional", "question_hash": "320ab7c6fc0d", "stage1_target": "[{\"tool\": \"graph_extractor\", \"parameters\": {\"graph_type\": \"DFG\"}}, {\"tool\": \"synthesis_tool\", \"parameters\": {\"optimization_level\": \"medium\"}}]", "stage2_context": "Question: In the servant_timer module, the DFG has three register nodes ($sdff, $sdffe and $dff). After medium-effort synthesis, how many flip-flop cells of each kind come out, and how do they compare to the overall gate count and critical-path delay?\n\n[graph_extractor {\"graph_type\": \"DFG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"DFG\",\n...[23633 chars elided]...\n \"node_count\": 14,\n \"edge_count\": 284,\n \"graph_properties\": {\n \"node_types\": {\n \"$and\": 1,\n \"$add\": 1,\n \"$ge\": 1,\n \"$sub\": 1,\n \"$sdff\": 1,\n \"$sdffe\": 1,\n \"$dff\": 1,\n \"port_input\": 5,\n \"port_output\": 2\n },\n \"avg_degree\": 20.29,\n \"module_name\": \"servant_timer\"\n },\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 336.5,\n \"delay\": 264.05,\n \"power\": 0.238,\n \"gate_count\": 238,\n \"cell_breakdown\": {\n \"$_AND_\": 85,\n \"$_DFF_P_\": 1,\n \"$_NAND_\": 21,\n \"$_NOR_\": 7,\n \"$_NOT_\": 33,\n \"$_OR_\": 11,\n \"$_SDFFE_PP0P_\": 16,\n \"$_SDFF_PP0_\": 16,\n \"$_XNOR_\": 2,\n \"$_XOR_\": 46\n },\n \"wire_count\": 108,\n \"wire_bits\": 339,\n \"critical_path_estimate\": 264.05,\n...[1294 chars elided]...\n \"error\": null\n}", "plan_id": "d08940966003", "design_id": "5b9091b846d0", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/olofk/serv", "commit": "f200eb2ed7b69ac1c6b8eddd47654522aeee5ce8", "path": "servant/servant_timer.v", "sha256": "9590ad30f4e51c481db792a350ce31f030a242413c356b645fed96e22cc18c7f"}} {"question": "For the gcd module synthesized at medium optimization, what are the baseline delay and area, and what does a delay-targeted optimization plan predict for delay and area, given that the design has 35 flip-flops?", "answer": "At medium optimization, gcd synthesizes to an area of 245.0 and a delay of 260.45, with 35 DFFHQNx1_ASAP7_75t_R flip-flops among 245 gates. The delay-targeted plan (abc -fast, register retiming for pipelining, splitnets -driver for fanout) predicts a delay change of -20.0 in exchange for a +10.0 area and +5.0 power estimate, which reflects its stated trade-off that speed optimization increases area.", "source_file": "github_repos/The-OpenROAD-Project_OpenROAD/src/rmp/test/gcd_asap7.v", "module_name": "gcd", "tool_name": "optimization_advisor+synthesis_tool", "tool_parameters": [{"target_metric": "delay"}, {"optimization_level": "medium"}], "tool_result": "[optimization_advisor {\"target_metric\": \"delay\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"delay\",\n \"recommended_recipes\": [\n \"synth -top gcd\",\n \"opt -fast\",\n \"abc -fast -liberty stdcells.lib\",\n \"opt_clean\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"pipeline_insertion\",\n \"description\": \"Consider pipelining arithmetic operations\",\n \"command\": \"Use register retiming\"\n },\n {\n \"type\": \"logic_duplication\",\n \"description\": \"Duplicate logic to reduce fanout\",\n \"command\": \"splitnets -driver\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": 10.0,\n \"delay\": -20.0,\n \"power\": 5.0\n },\n \"trade_offs\": [\n \"Speed optimization increases area\",\n \"Higher power consumption\"\n ],\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 245.0,\n \"delay\": 260.45,\n \"power\": 0.245,\n \"gate_count\": 245,\n \"cell_breakdown\": {\n \"AND2x2_ASAP7_75t_R\": 17,\n \"AND3x1_ASAP7_75t_R\": 17,\n \"AND4x1_ASAP7_75t_R\": 5,\n \"AO21x1_ASAP7_75t_R\": 2,\n \"AO222x2_ASAP7_75t_R\": 16,\n \"AO32x1_ASAP7_75t_R\": 1,\n \"BUFx2_ASAP7_75t_R\": 13,\n \"DFFHQNx1_ASAP7_75t_R\": 35,\n \"FAx1_ASAP7_75t_R\": 1,\n \"HAxp5_ASAP7_75t_R\": 16,\n \"INVx1_ASAP7_75\n...[1707 chars elided]...\n \"error\": null\n}", "category": "multi_tool", "subcategory": "optimization_advisor+synthesis_tool", "difficulty": "compositional", "question_hash": "4cf26150a81b", "stage1_target": "[{\"tool\": \"optimization_advisor\", \"parameters\": {\"target_metric\": \"delay\"}}, {\"tool\": \"synthesis_tool\", \"parameters\": {\"optimization_level\": \"medium\"}}]", "stage2_context": "Question: For the gcd module synthesized at medium optimization, what are the baseline delay and area, and what does a delay-targeted optimization plan predict for delay and area, given that the design has 35 flip-flops?\n\n[optimization_advisor {\"target_metric\": \"delay\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"delay\",\n \"recommended_recipes\": [\n \"synth -top gcd\",\n \"opt -fast\",\n \"abc -fast -liberty stdcells.lib\",\n \"opt_clean\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"pipeline_insertion\",\n \"description\": \"Consider pipelining arithmetic operations\",\n \"command\": \"Use register retiming\"\n },\n {\n \"type\": \"logic_duplication\",\n \"description\": \"Duplicate logic to reduce fanout\",\n \"command\": \"splitnets -driver\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": 10.0,\n \"delay\": -20.0,\n \"power\": 5.0\n },\n \"trade_offs\": [\n \"Speed optimization increases area\",\n \"Higher power consumption\"\n ],\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 245.0,\n \"delay\": 260.45,\n \"power\": 0.245,\n \"gate_count\": 245,\n \"cell_breakdown\": {\n \"AND2x2_ASAP7_75t_R\": 17,\n \"AND3x1_ASAP7_75t_R\": 17,\n \"AND4x1_ASAP7_75t_R\": 5,\n \"AO21x1_ASAP7_75t_R\": 2,\n \"AO222x2_ASAP7_75t_R\": 16,\n \"AO32x1_ASAP7_75t_R\": 1,\n \"BUFx2_ASAP7_75t_R\": 13,\n \"DFFHQNx1_ASAP7_75t_R\": 35,\n \"FAx1_ASAP7_75t_R\": 1,\n \"HAxp5_ASAP7_75t_R\": 16,\n \"INVx1_ASAP7_75\n...[1707 chars elided]...\n \"error\": null\n}", "plan_id": "cfa4d75e2db3", "design_id": "5d4260ad8cde", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/The-OpenROAD-Project/OpenROAD", "commit": "3e3e483a4e3f98e2b5470b272040699de6dedbee", "path": "src/rmp/test/gcd_asap7.v", "sha256": "372a06ae26760da19d04f20b6600375d2ecbe88c1046c7bec8b6b872ca8bc030"}} {"question": "For the comparator module, a power-targeted optimization pass suggests clock gating and estimates a power change. Given what we know about how many registers and always blocks the module has and how complex its code is, how much power saving should I expect, and is clock gating actually worth doing here?", "answer": "The power-targeted optimization estimates a -25.0 power change from clock gating and operand isolation, with area and delay each going up by 5.0. However, comparator has only 3 regs and 2 always blocks, so clock gating has very few registers to act on. Its high cyclomatic complexity of 45 and nesting depth of 28 point to mostly combinational logic, so operand isolation is likely the more useful of the two suggestions.", "source_file": "github_repos/riscv-mcu_e203_hbirdv2/rtl/e203/perips/apb_adv_timer/comparator.v", "module_name": "comparator", "tool_name": "optimization_advisor+static_analyzer", "tool_parameters": [{"target_metric": "power"}, {"analysis_type": "full"}], "tool_result": "[optimization_advisor {\"target_metric\": \"power\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"power\",\n \"recommended_recipes\": [\n \"synth -top comparator\",\n \"opt; share; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean; clockgate\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"clock_gating\",\n \"description\": \"Insert clock gating for registers\",\n \"command\": \"clockgate\"\n },\n {\n \"type\": \"operand_isolation\",\n \"description\": \"Isolate operands when not in use\",\n \"command\": \"Use enable signals for arithmetic\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": 5.0,\n \"delay\": 5.0,\n \"power\": -25.0\n },\n \"trade_offs\": [\n \"Power optimization may add area overhead\",\n \"Clock gating adds timing complexity\"\n ],\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"comparator\",\n \"port_count\": {\n \"inputs\": 11,\n \"outputs\": 1,\n \"inouts\": 0,\n \"total\": 12\n },\n \"signal_count\": {\n \"wires\": 13,\n \"regs\": 3,\n \"parameters\": 1,\n \"total\": 16\n },\n \"always_blocks\": 2,\n \"assign_statements\": 3,\n \"instantiations\": [\n \"proc_r_comp\",\n \"proc_r_value\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 134,\n \"total_lines\": 154,\n \"cyclomatic_complexity\": 45,\n \"nesting_depth\": 28,\n \"operator_count\": 142\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "category": "multi_tool", "subcategory": "optimization_advisor+static_analyzer", "difficulty": "compositional", "question_hash": "f18de0810154", "stage1_target": "[{\"tool\": \"optimization_advisor\", \"parameters\": {\"target_metric\": \"power\"}}, {\"tool\": \"static_analyzer\", \"parameters\": {\"analysis_type\": \"full\"}}]", "stage2_context": "Question: For the comparator module, a power-targeted optimization pass suggests clock gating and estimates a power change. Given what we know about how many registers and always blocks the module has and how complex its code is, how much power saving should I expect, and is clock gating actually worth doing here?\n\n[optimization_advisor {\"target_metric\": \"power\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"power\",\n \"recommended_recipes\": [\n \"synth -top comparator\",\n \"opt; share; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean; clockgate\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"clock_gating\",\n \"description\": \"Insert clock gating for registers\",\n \"command\": \"clockgate\"\n },\n {\n \"type\": \"operand_isolation\",\n \"description\": \"Isolate operands when not in use\",\n \"command\": \"Use enable signals for arithmetic\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": 5.0,\n \"delay\": 5.0,\n \"power\": -25.0\n },\n \"trade_offs\": [\n \"Power optimization may add area overhead\",\n \"Clock gating adds timing complexity\"\n ],\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"comparator\",\n \"port_count\": {\n \"inputs\": 11,\n \"outputs\": 1,\n \"inouts\": 0,\n \"total\": 12\n },\n \"signal_count\": {\n \"wires\": 13,\n \"regs\": 3,\n \"parameters\": 1,\n \"total\": 16\n },\n \"always_blocks\": 2,\n \"assign_statements\": 3,\n \"instantiations\": [\n \"proc_r_comp\",\n \"proc_r_value\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 134,\n \"total_lines\": 154,\n \"cyclomatic_complexity\": 45,\n \"nesting_depth\": 28,\n \"operator_count\": 142\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "plan_id": "aab0bf3dc498", "design_id": "5d4b64372861", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/riscv-mcu/e203_hbirdv2", "commit": "9f3e34f337f5d0a1236a285871ffa2032491617a", "path": "rtl/e203/perips/apb_adv_timer/comparator.v", "sha256": "a9ed41b6147c432a9283fdb6ac5482be48af9451fa41ff47bf4ed699dead191f"}} {"question": "For the comparator module, the CDFG has 4 $adffe registers and 27 $mux nodes, and the code has a cyclomatic complexity of 45. Given that, how much would clock gating help if I optimize for power, and what does it cost?", "answer": "The CDFG for comparator has 71 nodes, including 4 $adffe enable flip-flops and 27 $mux nodes, and the code has a cyclomatic complexity of 45 and a nesting depth of 28, so a lot of the logic is muxing that feeds a few enabled registers. That makes the power-targeted flow ending in \"opt_clean; clockgate\" a good fit: its estimated power change is -25.0, while area and delay each go up by an estimated 5.0, because power optimization may add area overhead and clock gating adds timing complexity.", "source_file": "github_repos/riscv-mcu_e203_hbirdv2/rtl/e203/perips/apb_adv_timer/comparator.v", "module_name": "comparator", "tool_name": "graph_extractor+optimization_advisor+static_analyzer", "tool_parameters": [{"graph_type": "CDFG"}, {"target_metric": "power"}, {"analysis_type": "full"}], "tool_result": "[graph_extractor {\"graph_type\": \"CDFG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"CDFG\",\n...[44026 chars elided]...\n \"node_count\": 71,\n \"edge_count\": 357,\n \"graph_properties\": {\n \"node_types\": {\n \"$mux\": 27,\n \"$not\": 1,\n \"$logic_and\": 3,\n \"$logic_not\": 2,\n \"$and\": 1,\n \"$eq\": 7,\n \"$adffe\": 4,\n \"$reduce_or\": 2,\n \"$reduce_bool\": 2,\n \"$ne\": 6,\n \"$reduce_and\": 2,\n \"$pmux\": 2,\n \"port_input\": 11,\n \"port_output\": 1\n },\n \"avg_degree\": 5.03,\n \"module_name\": \"comparator\"\n },\n \"error\": null\n}\n\n[optimization_advisor {\"target_metric\": \"power\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"power\",\n \"recommended_recipes\": [\n \"synth -top comparator\",\n \"opt; share; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean; clockgate\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"clock_gating\",\n \"description\": \"Insert clock gating for registers\",\n \"command\": \"clockgate\"\n },\n {\n \"type\": \"operand_isolation\",\n \"description\": \"Isolate operands when not in use\",\n \"command\": \"Use enable signals for arithmetic\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": 5.0,\n \"delay\": 5.0,\n \"power\": -25.0\n },\n \"trade_offs\": [\n \"Power optimization may add area overhead\",\n \"Clock gating adds timing complexity\"\n ],\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"comparator\",\n \"port_count\": {\n \"inputs\": 11,\n \"outputs\": 1,\n \"inouts\": 0,\n \"total\": 12\n },\n \"signal_count\": {\n \"wires\": 13,\n \"regs\": 3,\n \"parameters\": 1,\n \"total\": 16\n },\n \"always_blocks\": 2,\n \"assign_statements\": 3,\n \"instantiations\": [\n \"proc_r_comp\",\n \"proc_r_value\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 134,\n \"total_lines\": 154,\n \"cyclomatic_complexity\": 45,\n \"nesting_depth\": 28,\n \"operator_count\": 142\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "category": "multi_tool", "subcategory": "graph_extractor+optimization_advisor+static_analyzer", "difficulty": "compositional", "question_hash": "8b16b426298e", "stage1_target": "[{\"tool\": \"graph_extractor\", \"parameters\": {\"graph_type\": \"CDFG\"}}, {\"tool\": \"optimization_advisor\", \"parameters\": {\"target_metric\": \"power\"}}, {\"tool\": \"static_analyzer\", \"parameters\": {\"analysis_type\": \"full\"}}]", "stage2_context": "Question: For the comparator module, the CDFG has 4 $adffe registers and 27 $mux nodes, and the code has a cyclomatic complexity of 45. Given that, how much would clock gating help if I optimize for power, and what does it cost?\n\n[graph_extractor {\"graph_type\": \"CDFG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"CDFG\",\n...[44026 chars elided]...\n \"node_count\": 71,\n \"edge_count\": 357,\n \"graph_properties\": {\n \"node_types\": {\n \"$mux\": 27,\n \"$not\": 1,\n \"$logic_and\": 3,\n \"$logic_not\": 2,\n \"$and\": 1,\n \"$eq\": 7,\n \"$adffe\": 4,\n \"$reduce_or\": 2,\n \"$reduce_bool\": 2,\n \"$ne\": 6,\n \"$reduce_and\": 2,\n \"$pmux\": 2,\n \"port_input\": 11,\n \"port_output\": 1\n },\n \"avg_degree\": 5.03,\n \"module_name\": \"comparator\"\n },\n \"error\": null\n}\n\n[optimization_advisor {\"target_metric\": \"power\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"power\",\n \"recommended_recipes\": [\n \"synth -top comparator\",\n \"opt; share; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean; clockgate\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"clock_gating\",\n \"description\": \"Insert clock gating for registers\",\n \"command\": \"clockgate\"\n },\n {\n \"type\": \"operand_isolation\",\n \"description\": \"Isolate operands when not in use\",\n \"command\": \"Use enable signals for arithmetic\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": 5.0,\n \"delay\": 5.0,\n \"power\": -25.0\n },\n \"trade_offs\": [\n \"Power optimization may add area overhead\",\n \"Clock gating adds timing complexity\"\n ],\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"comparator\",\n \"port_count\": {\n \"inputs\": 11,\n \"outputs\": 1,\n \"inouts\": 0,\n \"total\": 12\n },\n \"signal_count\": {\n \"wires\": 13,\n \"regs\": 3,\n \"parameters\": 1,\n \"total\": 16\n },\n \"always_blocks\": 2,\n \"assign_statements\": 3,\n \"instantiations\": [\n \"proc_r_comp\",\n \"proc_r_value\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 134,\n \"total_lines\": 154,\n \"cyclomatic_complexity\": 45,\n \"nesting_depth\": 28,\n \"operator_count\": 142\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "plan_id": "559ef248e154", "design_id": "5d4b64372861", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 3, "ctx_cap": 3300, "source": {"repository": "https://github.com/riscv-mcu/e203_hbirdv2", "commit": "9f3e34f337f5d0a1236a285871ffa2032491617a", "path": "rtl/e203/perips/apb_adv_timer/comparator.v", "sha256": "a9ed41b6147c432a9283fdb6ac5482be48af9451fa41ff47bf4ed699dead191f"}} {"question": "In the DFG of spi_master_fifo, how much multiplexer and arithmetic logic is there, and does that make the suggested area-targeted mux and operator sharing worthwhile given its expected area, power and delay effects?", "answer": "The DFG of spi_master_fifo has 52 nodes, including 9 $mux cells, 1 $pmux, 3 $add and 1 $sub, so the area-targeted 'muxcover; opt' and 'share -aggressive' steps have real logic to work on. The estimated result is -15.0 area and -10.0 power, at the cost of a +5.0 delay penalty and more routing complexity.", "source_file": "github_repos/riscv-mcu_e203_hbirdv2/rtl/e203/perips/apb_spi_master/spi_master_fifo.v", "module_name": "spi_master_fifo", "tool_name": "graph_extractor+optimization_advisor", "tool_parameters": [{"graph_type": "DFG"}, {"target_metric": "area"}], "tool_result": "[graph_extractor {\"graph_type\": \"DFG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"DFG\",\n...[37841 chars elided]...\n \"node_count\": 52,\n \"edge_count\": 697,\n \"graph_properties\": {\n \"node_types\": {\n \"$eq\": 3,\n \"$add\": 3,\n \"$reduce_bool\": 4,\n \"$not\": 3,\n \"$logic_and\": 5,\n \"$logic_not\": 4,\n \"$logic_or\": 2,\n \"$sub\": 1,\n \"$adffe\": 5,\n \"$reduce_and\": 2,\n \"$pmux\": 1,\n \"$mux\": 9,\n \"port_input\": 6,\n \"port_output\": 4\n },\n \"avg_degree\": 13.4,\n \"module_name\": \"spi_master_fifo\"\n },\n \"error\": null\n}\n\n[optimization_advisor {\"target_metric\": \"area\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"area\",\n \"recommended_recipes\": [\n \"synth -top spi_master_fifo -flatten\",\n \"opt -full; share -aggressive; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean -purge\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"mux_optimization\",\n \"description\": \"Share multiplexers where possible\",\n \"command\": \"muxcover; opt\"\n },\n {\n \"type\": \"resource_sharing\",\n \"description\": \"Share arithmetic operators\",\n \"command\": \"share -aggressive\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": -15.0,\n \"delay\": 5.0,\n \"power\": -10.0\n },\n \"trade_offs\": [\n \"Area optimization may increase delay\",\n \"Aggressive sharing increases routing complexity\"\n ],\n \"error\": null\n}", "category": "multi_tool", "subcategory": "graph_extractor+optimization_advisor", "difficulty": "compositional", "question_hash": "3e469ac889aa", "stage1_target": "[{\"tool\": \"graph_extractor\", \"parameters\": {\"graph_type\": \"DFG\"}}, {\"tool\": \"optimization_advisor\", \"parameters\": {\"target_metric\": \"area\"}}]", "stage2_context": "Question: In the DFG of spi_master_fifo, how much multiplexer and arithmetic logic is there, and does that make the suggested area-targeted mux and operator sharing worthwhile given its expected area, power and delay effects?\n\n[graph_extractor {\"graph_type\": \"DFG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"DFG\",\n...[37841 chars elided]...\n \"node_count\": 52,\n \"edge_count\": 697,\n \"graph_properties\": {\n \"node_types\": {\n \"$eq\": 3,\n \"$add\": 3,\n \"$reduce_bool\": 4,\n \"$not\": 3,\n \"$logic_and\": 5,\n \"$logic_not\": 4,\n \"$logic_or\": 2,\n \"$sub\": 1,\n \"$adffe\": 5,\n \"$reduce_and\": 2,\n \"$pmux\": 1,\n \"$mux\": 9,\n \"port_input\": 6,\n \"port_output\": 4\n },\n \"avg_degree\": 13.4,\n \"module_name\": \"spi_master_fifo\"\n },\n \"error\": null\n}\n\n[optimization_advisor {\"target_metric\": \"area\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"area\",\n \"recommended_recipes\": [\n \"synth -top spi_master_fifo -flatten\",\n \"opt -full; share -aggressive; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean -purge\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"mux_optimization\",\n \"description\": \"Share multiplexers where possible\",\n \"command\": \"muxcover; opt\"\n },\n {\n \"type\": \"resource_sharing\",\n \"description\": \"Share arithmetic operators\",\n \"command\": \"share -aggressive\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": -15.0,\n \"delay\": 5.0,\n \"power\": -10.0\n },\n \"trade_offs\": [\n \"Area optimization may increase delay\",\n \"Aggressive sharing increases routing complexity\"\n ],\n \"error\": null\n}", "plan_id": "1bf8f2011d62", "design_id": "5db32ef3ffeb", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/riscv-mcu/e203_hbirdv2", "commit": "9f3e34f337f5d0a1236a285871ffa2032491617a", "path": "rtl/e203/perips/apb_spi_master/spi_master_fifo.v", "sha256": "8758acb343d6378459006445288b95dfd24c93e5ccc88c6b53b0d0d067d7a66a"}} {"question": "For RAMDP_256X4_GL_M2_E2, the DFG shows a large number of latch nodes. Given that, how well does a power-targeted optimization plan built around clock gating fit this design, and what power improvement and trade-offs should I expect?", "answer": "The DFG of RAMDP_256X4_GL_M2_E2 has 3953 nodes, and 1030 of them are $dlatch storage elements, along with 1025 $reduce_or and 510 $eq decode nodes. That makes register/clock gating ('clockgate') and memory banking ('memory_share') good fits for the power-targeted plan. The estimated power improvement is -25.0, with area and delay each changing by 5.0, and the trade-offs are possible area overhead and added timing complexity from clock gating.", "source_file": "github_repos/nvdla_hw/vmod/rams/model/RAMDP_256X4_GL_M2_E2.v", "module_name": "RAMDP_256X4_GL_M2_E2", "tool_name": "graph_extractor+optimization_advisor", "tool_parameters": [{"graph_type": "DFG"}, {"target_metric": "power"}], "tool_result": "[graph_extractor {\"graph_type\": \"DFG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"DFG\",\n...[59929 chars elided]...\n \"node_count\": 3953,\n \"edge_count\": 19989,\n \"graph_properties\": {\n \"node_types\": {\n \"$and\": 1042,\n \"$logic_and\": 4,\n \"$not\": 265,\n \"$reduce_or\": 1025,\n \"$dlatch\": 1030,\n \"$eq\": 510,\n \"$logic_not\": 7,\n \"$pmux\": 1,\n \"port_input\": 57,\n \"port_output\": 6,\n \"RAM_BANK_RAMDP_256X4_GL_M2_E2\": 1,\n \"$or\": 2,\n \"$mux\": 2,\n \"$paramod$327022cdacdd5fbfdceb2fa2974dbb12ad9173a8\\\\vram_RAMDP_256X4_GL_M2_E2\": 1\n },\n \"avg_degree\": 5.06,\n \"module_name\": \"RAMDP_256X4_GL_M2_E2\"\n },\n \"error\": null\n}\n\n[optimization_advisor {\"target_metric\": \"power\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"power\",\n \"recommended_recipes\": [\n \"synth -top RAMDP_256X4_GL_M2_E2\",\n \"opt; share; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean; clockgate\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"clock_gating\",\n \"description\": \"Insert clock gating for registers\",\n \"command\": \"clockgate\"\n },\n {\n \"type\": \"memory_banking\",\n \"description\": \"Bank memories to reduce active area\",\n \"command\": \"memory_share\"\n },\n {\n \"type\": \"operand_isolation\",\n \"description\": \"Isolate operands when not in use\",\n \"command\": \"Use enable signals for arithmetic\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": 5.0,\n \"delay\": 5.0,\n \"power\": -25.0\n },\n \"trade_offs\": [\n \"Power optimization may add area overhead\",\n \"Clock gating adds timing complexity\"\n ],\n \"error\": null\n}", "category": "multi_tool", "subcategory": "graph_extractor+optimization_advisor", "difficulty": "compositional", "question_hash": "78e53c7622fd", "stage1_target": "[{\"tool\": \"graph_extractor\", \"parameters\": {\"graph_type\": \"DFG\"}}, {\"tool\": \"optimization_advisor\", \"parameters\": {\"target_metric\": \"power\"}}]", "stage2_context": "Question: For RAMDP_256X4_GL_M2_E2, the DFG shows a large number of latch nodes. Given that, how well does a power-targeted optimization plan built around clock gating fit this design, and what power improvement and trade-offs should I expect?\n\n[graph_extractor {\"graph_type\": \"DFG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"DFG\",\n...[59929 chars elided]...\n \"node_count\": 3953,\n \"edge_count\": 19989,\n \"graph_properties\": {\n \"node_types\": {\n \"$and\": 1042,\n \"$logic_and\": 4,\n \"$not\": 265,\n \"$reduce_or\": 1025,\n \"$dlatch\": 1030,\n \"$eq\": 510,\n \"$logic_not\": 7,\n \"$pmux\": 1,\n \"port_input\": 57,\n \"port_output\": 6,\n \"RAM_BANK_RAMDP_256X4_GL_M2_E2\": 1,\n \"$or\": 2,\n \"$mux\": 2,\n \"$paramod$327022cdacdd5fbfdceb2fa2974dbb12ad9173a8\\\\vram_RAMDP_256X4_GL_M2_E2\": 1\n },\n \"avg_degree\": 5.06,\n \"module_name\": \"RAMDP_256X4_GL_M2_E2\"\n },\n \"error\": null\n}\n\n[optimization_advisor {\"target_metric\": \"power\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"power\",\n \"recommended_recipes\": [\n \"synth -top RAMDP_256X4_GL_M2_E2\",\n \"opt; share; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean; clockgate\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"clock_gating\",\n \"description\": \"Insert clock gating for registers\",\n \"command\": \"clockgate\"\n },\n {\n \"type\": \"memory_banking\",\n \"description\": \"Bank memories to reduce active area\",\n \"command\": \"memory_share\"\n },\n {\n \"type\": \"operand_isolation\",\n \"description\": \"Isolate operands when not in use\",\n \"command\": \"Use enable signals for arithmetic\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": 5.0,\n \"delay\": 5.0,\n \"power\": -25.0\n },\n \"trade_offs\": [\n \"Power optimization may add area overhead\",\n \"Clock gating adds timing complexity\"\n ],\n \"error\": null\n}", "plan_id": "1515df3a2e9f", "design_id": "5f05eb621ebd", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/nvdla/hw", "commit": "8e06b1b9d85aab65b40d43d08eec5ea4681ff715", "path": "vmod/rams/model/RAMDP_256X4_GL_M2_E2.v", "sha256": "62743978c95f1897918d18ee8cab0704e13e97ca52f9c56c8581e65b26a2ae93"}} {"question": "For NV_NVDLA_CDP_DP_cvtin, the medium-effort synthesis result has 23 enable flip-flops ($_DFFE_PP_) and 39 reset flip-flops ($_DFF_PN0_). Given that, how much power improvement does the power-targeted optimization plan expect, and does clock gating look worthwhile against the synthesized power figure?", "answer": "The medium-effort synthesis of NV_NVDLA_CDP_DP_cvtin gives 0.255 power, 291.5 area and 255 gates, and 23 $_DFFE_PP_ plus 39 $_DFF_PN0_ registers make clock gating a good fit. The power-targeted plan recommends 'clockgate' and operand isolation and expects a power change of -25.0, but it also estimates area and delay to rise by 5.0 each and warns that clock gating adds timing complexity.", "source_file": "github_repos/nvdla_hw/vmod/nvdla/cdp/NV_NVDLA_CDP_DP_cvtin.v", "module_name": "NV_NVDLA_CDP_DP_cvtin", "tool_name": "optimization_advisor+synthesis_tool", "tool_parameters": [{"target_metric": "power"}, {"optimization_level": "medium"}], "tool_result": "[optimization_advisor {\"target_metric\": \"power\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"power\",\n \"recommended_recipes\": [\n \"synth -top NV_NVDLA_CDP_DP_cvtin\",\n \"opt; share; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean; clockgate\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"clock_gating\",\n \"description\": \"Insert clock gating for registers\",\n \"command\": \"clockgate\"\n },\n {\n \"type\": \"operand_isolation\",\n \"description\": \"Isolate operands when not in use\",\n \"command\": \"Use enable signals for arithmetic\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": 5.0,\n \"delay\": 5.0,\n \"power\": -25.0\n },\n \"trade_offs\": [\n \"Power optimization may add area overhead\",\n \"Clock gating adds timing complexity\"\n ],\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 291.5,\n \"delay\": 254.5,\n \"power\": 0.255,\n \"gate_count\": 255,\n \"cell_breakdown\": {\n \"$_AND_\": 107,\n \"$_DFFE_PP_\": 23,\n \"$_DFF_PN0_\": 39,\n \"$_NOT_\": 1,\n \"$_ORNOT_\": 4,\n \"$_OR_\": 4,\n \"$_ANDNOT_\": 6,\n \"$_NAND_\": 2,\n \"$_NOR_\": 2,\n \"HLS_cdp_icvt\": 4,\n \"NV_NVDLA_CDP_DP_CVTIN_pipe_p1\": 1,\n \"NV_NVDLA_CDP_DP_CVTIN_pipe_p2\": 1,\n \"NV_NVDLA_CDP_DP_CVTIN_pipe_p3\": 1\n }\n...[1414 chars elided]...\n \"error\": null\n}", "category": "multi_tool", "subcategory": "optimization_advisor+synthesis_tool", "difficulty": "compositional", "question_hash": "39516bb1940e", "stage1_target": "[{\"tool\": \"optimization_advisor\", \"parameters\": {\"target_metric\": \"power\"}}, {\"tool\": \"synthesis_tool\", \"parameters\": {\"optimization_level\": \"medium\"}}]", "stage2_context": "Question: For NV_NVDLA_CDP_DP_cvtin, the medium-effort synthesis result has 23 enable flip-flops ($_DFFE_PP_) and 39 reset flip-flops ($_DFF_PN0_). Given that, how much power improvement does the power-targeted optimization plan expect, and does clock gating look worthwhile against the synthesized power figure?\n\n[optimization_advisor {\"target_metric\": \"power\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"power\",\n \"recommended_recipes\": [\n \"synth -top NV_NVDLA_CDP_DP_cvtin\",\n \"opt; share; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean; clockgate\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"clock_gating\",\n \"description\": \"Insert clock gating for registers\",\n \"command\": \"clockgate\"\n },\n {\n \"type\": \"operand_isolation\",\n \"description\": \"Isolate operands when not in use\",\n \"command\": \"Use enable signals for arithmetic\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": 5.0,\n \"delay\": 5.0,\n \"power\": -25.0\n },\n \"trade_offs\": [\n \"Power optimization may add area overhead\",\n \"Clock gating adds timing complexity\"\n ],\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 291.5,\n \"delay\": 254.5,\n \"power\": 0.255,\n \"gate_count\": 255,\n \"cell_breakdown\": {\n \"$_AND_\": 107,\n \"$_DFFE_PP_\": 23,\n \"$_DFF_PN0_\": 39,\n \"$_NOT_\": 1,\n \"$_ORNOT_\": 4,\n \"$_OR_\": 4,\n \"$_ANDNOT_\": 6,\n \"$_NAND_\": 2,\n \"$_NOR_\": 2,\n \"HLS_cdp_icvt\": 4,\n \"NV_NVDLA_CDP_DP_CVTIN_pipe_p1\": 1,\n \"NV_NVDLA_CDP_DP_CVTIN_pipe_p2\": 1,\n \"NV_NVDLA_CDP_DP_CVTIN_pipe_p3\": 1\n }\n...[1414 chars elided]...\n \"error\": null\n}", "plan_id": "24c77705886b", "design_id": "6129ff64e469", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/nvdla/hw", "commit": "8e06b1b9d85aab65b40d43d08eec5ea4681ff715", "path": "vmod/nvdla/cdp/NV_NVDLA_CDP_DP_cvtin.v", "sha256": "75eb3929c3e71329b8bc2639327d6b2c35dcd27de018edc6b84128efd1cff08a"}} {"question": "For RAMPDP_80X16_GL_M2_D2, how does the number of latch nodes in its CDFG compare with the latch cells left after medium-effort synthesis, and what area and delay does the synthesized design reach?", "answer": "The CDFG of RAMPDP_80X16_GL_M2_D2 has 45 $dlatch nodes and 2 $dff nodes among its 391 nodes. After medium-effort synthesis, the latches are split into 640 $_DLATCH_N_ and 27 $_DLATCH_P_ single-bit cells, with 24 $_DFF_P_ cells. The synthesized design has an area of 2187.0 and a delay of 188.66, and latches make up most of its 2179 gates.", "source_file": "github_repos/nvdla_hw/vmod/rams/model/RAMPDP_80X16_GL_M2_D2.v", "module_name": "RAMPDP_80X16_GL_M2_D2", "tool_name": "graph_extractor+synthesis_tool", "tool_parameters": [{"graph_type": "CDFG"}, {"optimization_level": "medium"}], "tool_result": "[graph_extractor {\"graph_type\": \"CDFG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"CDFG\",\n...[60436 chars elided]...\n \"node_count\": 391,\n \"edge_count\": 4279,\n \"graph_properties\": {\n \"node_types\": {\n \"$not\": 57,\n \"$reduce_or\": 40,\n \"$and\": 69,\n \"$dlatch\": 45,\n \"$eq\": 78,\n \"$pmux\": 1,\n \"$logic_not\": 6,\n \"port_input\": 68,\n \"port_output\": 18,\n \"RAM_BANK_RAMPDP_80X16_GL_M2_D2\": 1,\n \"$or\": 4,\n \"$dff\": 2,\n \"$paramod$c89602e36a0dd23cf0f7475fa481dcf3cee9cc31\\\\RAMPDP_80X16_GL_M2_D2_ram\": 2\n },\n \"avg_degree\": 10.94,\n \"module_name\": \"RAMPDP_80X16_GL_M2_D2\"\n },\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 2187.0,\n \"delay\": 188.66,\n \"power\": 2.179,\n \"gate_count\": 2179,\n \"cell_breakdown\": {\n \"$_ANDNOT_\": 16,\n \"$_AND_\": 6,\n \"$_DLATCH_N_\": 640,\n \"$_NAND_\": 18,\n \"$_NOR_\": 3,\n \"$_DFF_P_\": 24,\n \"$_DLATCH_P_\": 27,\n \"$_NOT_\": 3,\n \"$_ORNOT_\": 1,\n \"$_OR_\": 33,\n \"$paramod$c89602e36a0dd23cf0f7475fa481dcf3cee9cc31\\\\RAMPDP_80X16_GL_M2_D2_ram\": 2,\n \"RAM_BANK_RAMPDP_80X16_GL_M\n...[1424 chars elided]...\n \"error\": null\n}", "category": "multi_tool", "subcategory": "graph_extractor+synthesis_tool", "difficulty": "compositional", "question_hash": "056e8395ec6b", "stage1_target": "[{\"tool\": \"graph_extractor\", \"parameters\": {\"graph_type\": \"CDFG\"}}, {\"tool\": \"synthesis_tool\", \"parameters\": {\"optimization_level\": \"medium\"}}]", "stage2_context": "Question: For RAMPDP_80X16_GL_M2_D2, how does the number of latch nodes in its CDFG compare with the latch cells left after medium-effort synthesis, and what area and delay does the synthesized design reach?\n\n[graph_extractor {\"graph_type\": \"CDFG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"CDFG\",\n...[60436 chars elided]...\n \"node_count\": 391,\n \"edge_count\": 4279,\n \"graph_properties\": {\n \"node_types\": {\n \"$not\": 57,\n \"$reduce_or\": 40,\n \"$and\": 69,\n \"$dlatch\": 45,\n \"$eq\": 78,\n \"$pmux\": 1,\n \"$logic_not\": 6,\n \"port_input\": 68,\n \"port_output\": 18,\n \"RAM_BANK_RAMPDP_80X16_GL_M2_D2\": 1,\n \"$or\": 4,\n \"$dff\": 2,\n \"$paramod$c89602e36a0dd23cf0f7475fa481dcf3cee9cc31\\\\RAMPDP_80X16_GL_M2_D2_ram\": 2\n },\n \"avg_degree\": 10.94,\n \"module_name\": \"RAMPDP_80X16_GL_M2_D2\"\n },\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 2187.0,\n \"delay\": 188.66,\n \"power\": 2.179,\n \"gate_count\": 2179,\n \"cell_breakdown\": {\n \"$_ANDNOT_\": 16,\n \"$_AND_\": 6,\n \"$_DLATCH_N_\": 640,\n \"$_NAND_\": 18,\n \"$_NOR_\": 3,\n \"$_DFF_P_\": 24,\n \"$_DLATCH_P_\": 27,\n \"$_NOT_\": 3,\n \"$_ORNOT_\": 1,\n \"$_OR_\": 33,\n \"$paramod$c89602e36a0dd23cf0f7475fa481dcf3cee9cc31\\\\RAMPDP_80X16_GL_M2_D2_ram\": 2,\n \"RAM_BANK_RAMPDP_80X16_GL_M\n...[1424 chars elided]...\n \"error\": null\n}", "plan_id": "8fba78859ac0", "design_id": "6167c691a09d", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/nvdla/hw", "commit": "8e06b1b9d85aab65b40d43d08eec5ea4681ff715", "path": "vmod/rams/model/RAMPDP_80X16_GL_M2_D2.v", "sha256": "42f299d20feee710eec8f4306b4dada46afcb3b96acd7744ba50aa068b0714e0"}} {"question": "For RAMPDP_80X16_GL_M2_D2, the medium-effort synthesis is dominated by latch storage. How does that latch-heavy result fit with the area-targeted optimization advice, and what does the advice expect to cost in delay?", "answer": "At medium effort, RAMPDP_80X16_GL_M2_D2 synthesizes to an area of 2187.0 with a gate count of 2179 and a delay of 188.66, and 640 of those cells are $_DLATCH_N_ cells (the flattened netlist has 1280). This explains why the area-targeted advice suggests memory inference with \"memory -nomap; memory_bram\" and estimates a -15.0 area improvement, but it also expects delay to rise by 5.0 and warns that area optimization may increase delay.", "source_file": "github_repos/nvdla_hw/vmod/rams/model/RAMPDP_80X16_GL_M2_D2.v", "module_name": "RAMPDP_80X16_GL_M2_D2", "tool_name": "optimization_advisor+synthesis_tool", "tool_parameters": [{"target_metric": "area"}, {"optimization_level": "medium"}], "tool_result": "[optimization_advisor {\"target_metric\": \"area\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"area\",\n \"recommended_recipes\": [\n \"synth -top RAMPDP_80X16_GL_M2_D2 -flatten\",\n \"opt -full; share -aggressive; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean -purge\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"memory_optimization\",\n \"description\": \"Consider using memory inference for large arrays\",\n \"command\": \"memory -nomap; memory_bram\"\n },\n {\n \"type\": \"mux_optimization\",\n \"description\": \"Share multiplexers where possible\",\n \"command\": \"muxcover; opt\"\n },\n {\n \"type\": \"resource_sharing\",\n \"description\": \"Share arithmetic operators\",\n \"command\": \"share -aggressive\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": -15.0,\n \"delay\": 5.0,\n \"power\": -10.0\n },\n \"trade_offs\": [\n \"Area optimization may increase delay\",\n \"Aggressive sharing increases routing complexity\"\n ],\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 2187.0,\n \"delay\": 188.66,\n \"power\": 2.179,\n \"gate_count\": 2179,\n \"cell_breakdown\": {\n \"$_ANDNOT_\": 16,\n \"$_AND_\": 6,\n \"$_DLATCH_N_\": 640,\n \"$_NAND_\": 18,\n \"$_NOR_\": 3,\n \"$_DFF_P_\": 24,\n \"$_DLATCH_P_\": 27,\n \"$_NOT_\": 3,\n \"$_ORNOT_\": 1,\n \"$_OR_\": 33,\n \"$paramod$c89602e36a0dd23cf0f7475fa481dcf3cee9cc31\\\\RAMPDP_80X16_GL_M2_D2_ram\": 2,\n \"RAM_BANK_RAMPDP_80X16_GL_M\n...[1424 chars elided]...\n \"error\": null\n}", "category": "multi_tool", "subcategory": "optimization_advisor+synthesis_tool", "difficulty": "compositional", "question_hash": "82cb4c5e5cda", "stage1_target": "[{\"tool\": \"optimization_advisor\", \"parameters\": {\"target_metric\": \"area\"}}, {\"tool\": \"synthesis_tool\", \"parameters\": {\"optimization_level\": \"medium\"}}]", "stage2_context": "Question: For RAMPDP_80X16_GL_M2_D2, the medium-effort synthesis is dominated by latch storage. How does that latch-heavy result fit with the area-targeted optimization advice, and what does the advice expect to cost in delay?\n\n[optimization_advisor {\"target_metric\": \"area\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"area\",\n \"recommended_recipes\": [\n \"synth -top RAMPDP_80X16_GL_M2_D2 -flatten\",\n \"opt -full; share -aggressive; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean -purge\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"memory_optimization\",\n \"description\": \"Consider using memory inference for large arrays\",\n \"command\": \"memory -nomap; memory_bram\"\n },\n {\n \"type\": \"mux_optimization\",\n \"description\": \"Share multiplexers where possible\",\n \"command\": \"muxcover; opt\"\n },\n {\n \"type\": \"resource_sharing\",\n \"description\": \"Share arithmetic operators\",\n \"command\": \"share -aggressive\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": -15.0,\n \"delay\": 5.0,\n \"power\": -10.0\n },\n \"trade_offs\": [\n \"Area optimization may increase delay\",\n \"Aggressive sharing increases routing complexity\"\n ],\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 2187.0,\n \"delay\": 188.66,\n \"power\": 2.179,\n \"gate_count\": 2179,\n \"cell_breakdown\": {\n \"$_ANDNOT_\": 16,\n \"$_AND_\": 6,\n \"$_DLATCH_N_\": 640,\n \"$_NAND_\": 18,\n \"$_NOR_\": 3,\n \"$_DFF_P_\": 24,\n \"$_DLATCH_P_\": 27,\n \"$_NOT_\": 3,\n \"$_ORNOT_\": 1,\n \"$_OR_\": 33,\n \"$paramod$c89602e36a0dd23cf0f7475fa481dcf3cee9cc31\\\\RAMPDP_80X16_GL_M2_D2_ram\": 2,\n \"RAM_BANK_RAMPDP_80X16_GL_M\n...[1424 chars elided]...\n \"error\": null\n}", "plan_id": "b27eb50305e5", "design_id": "6167c691a09d", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/nvdla/hw", "commit": "8e06b1b9d85aab65b40d43d08eec5ea4681ff715", "path": "vmod/rams/model/RAMPDP_80X16_GL_M2_D2.v", "sha256": "42f299d20feee710eec8f4306b4dada46afcb3b96acd7744ba50aa068b0714e0"}} {"question": "For NV_NVDLA_CMAC_CORE_MAC_nan, how well do the RTL signals carry through to the netlist, and how does that compare with the module's register count and code complexity? Also, is there anything the mapping misses that I should look at?", "answer": "In NV_NVDLA_CMAC_CORE_MAC_nan, 274 of 275 RTL signals map to the netlist, for an alignment score of 99.64. The only unmapped signal is cfg_is_fp16_d1, which is worth checking for removal or merging during optimization. The RTL declares 266 regs across 19 always blocks, with a cyclomatic complexity of 14 and a nesting depth of 24, and the analysis reports no lint warnings.", "source_file": "github_repos/nvdla_hw/vmod/nvdla/cmac/NV_NVDLA_CMAC_CORE_MAC_nan.v", "module_name": "NV_NVDLA_CMAC_CORE_MAC_nan", "tool_name": "cross_stage_mapper+static_analyzer", "tool_parameters": [{}, {"analysis_type": "full"}], "tool_result": "[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"nan_mts_l0n86\": [\n \"nan_mts_l0n86\"\n ],\n \"nan_mts_l2n11\": [\n \"nan_mts_l2n11\"\n ],\n \"nan_mts_l1n44\": [\n \"nan_mts_l1n44\"\n ],\n \"nan_mts_l3n13\": [\n \"nan_mts_l3n13\"\n ],\n \"nan_mts_l2n23\": [\n \"nan_mts_l2n23\"\n ],\n \"nan_mts_l1n47\": [\n \"nan_mts_l1n47\"\n ],\n \"nan_mts_l1n31\": [\n \"nan_mts_l1n31\"\n ],\n \"dat_actv_dat\n...[15166 chars elided]...\nmts_l2n13\"\n ],\n \"nan_mts_l1n6\": [\n \"nan_mts_l1n62\",\n \"nan_mts_l1n60\",\n \"nan_mts_l1n6\",\n \"nan_mts_l1n63\",\n \"nan_mts_l1n61\"\n ],\n \"nan_mts_l0n32\": [\n \"nan_mts_l0n32\"\n ],\n \"nan_mts_l1n28\": [\n \"nan_mts_l1n28\"\n ],\n \"nan_mts_l4n0\": [\n \"nan_mts_l4n0\"\n ],\n \"nan_mts_l1n17\": [\n \"nan_mts_l1n17\"\n ],\n \"nan_mts_l1n15\": [\n \"nan_mts_l1n15\"\n ],\n \"nan_mts_l0n6\": [\n \"nan_mts_l0n64\",\n \"nan_mts_l0n65\",\n \"nan_mts_l0n69\",\n \"nan_mts_l0n68\",\n \"nan_mts_l0n66\"\n ],\n \"nan_mts_l0n123\": [\n \"nan_mts_l0n123\"\n ]\n },\n \"alignment_score\": 99.64,\n \"unmapped_elements\": [\n \"cfg_is_fp16_d1\"\n ],\n \"mapping_statistics\": {\n \"rtl_signals\": 275,\n \"netlist_wires\": 6330,\n \"netlist_cells\": 0,\n \"mapped_signals\": 274,\n \"unmapped_signals\": 1\n },\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"NV_NVDLA_CMAC_CORE_MAC_nan\",\n \"port_count\": {\n \"inputs\": 8,\n \"outputs\": 2,\n \"inouts\": 0,\n \"total\": 10\n },\n \"signal_count\": {\n \"wires\": 0,\n \"regs\": 266,\n \"parameters\": 0,\n \"total\": 266\n },\n \"always_blocks\": 19,\n \"assign_statements\": 1,\n \"instantiations\": [\n \"define\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 1043,\n \"total_lines\": 1128,\n \"cyclomatic_complexity\": 14,\n \"nesting_depth\": 24,\n \"operator_count\": 1018\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "category": "multi_tool", "subcategory": "cross_stage_mapper+static_analyzer", "difficulty": "compositional", "question_hash": "c182c5db880b", "stage1_target": "[{\"tool\": \"cross_stage_mapper\", \"parameters\": {}}, {\"tool\": \"static_analyzer\", \"parameters\": {\"analysis_type\": \"full\"}}]", "stage2_context": "Question: For NV_NVDLA_CMAC_CORE_MAC_nan, how well do the RTL signals carry through to the netlist, and how does that compare with the module's register count and code complexity? Also, is there anything the mapping misses that I should look at?\n\n[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"nan_mts_l0n86\": [\n \"nan_mts_l0n86\"\n ],\n \"nan_mts_l2n11\": [\n \"nan_mts_l2n11\"\n ],\n \"nan_mts_l1n44\": [\n \"nan_mts_l1n44\"\n ],\n \"nan_mts_l3n13\": [\n \"nan_mts_l3n13\"\n ],\n \"nan_mts_l2n23\": [\n \"nan_mts_l2n23\"\n ],\n \"nan_mts_l1n47\": [\n \"nan_mts_l1n47\"\n ],\n \"nan_mts_l1n31\": [\n \"nan_mts_l1n31\"\n ],\n \"dat_actv_dat\n...[15166 chars elided]...\nmts_l2n13\"\n ],\n \"nan_mts_l1n6\": [\n \"nan_mts_l1n62\",\n \"nan_mts_l1n60\",\n \"nan_mts_l1n6\",\n \"nan_mts_l1n63\",\n \"nan_mts_l1n61\"\n ],\n \"nan_mts_l0n32\": [\n \"nan_mts_l0n32\"\n ],\n \"nan_mts_l1n28\": [\n \"nan_mts_l1n28\"\n ],\n \"nan_mts_l4n0\": [\n \"nan_mts_l4n0\"\n ],\n \"nan_mts_l1n17\": [\n \"nan_mts_l1n17\"\n ],\n \"nan_mts_l1n15\": [\n \"nan_mts_l1n15\"\n ],\n \"nan_mts_l0n6\": [\n \"nan_mts_l0n64\",\n \"nan_mts_l0n65\",\n \"nan_mts_l0n69\",\n \"nan_mts_l0n68\",\n \"nan_mts_l0n66\"\n ],\n \"nan_mts_l0n123\": [\n \"nan_mts_l0n123\"\n ]\n },\n \"alignment_score\": 99.64,\n \"unmapped_elements\": [\n \"cfg_is_fp16_d1\"\n ],\n \"mapping_statistics\": {\n \"rtl_signals\": 275,\n \"netlist_wires\": 6330,\n \"netlist_cells\": 0,\n \"mapped_signals\": 274,\n \"unmapped_signals\": 1\n },\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"NV_NVDLA_CMAC_CORE_MAC_nan\",\n \"port_count\": {\n \"inputs\": 8,\n \"outputs\": 2,\n \"inouts\": 0,\n \"total\": 10\n },\n \"signal_count\": {\n \"wires\": 0,\n \"regs\": 266,\n \"parameters\": 0,\n \"total\": 266\n },\n \"always_blocks\": 19,\n \"assign_statements\": 1,\n \"instantiations\": [\n \"define\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 1043,\n \"total_lines\": 1128,\n \"cyclomatic_complexity\": 14,\n \"nesting_depth\": 24,\n \"operator_count\": 1018\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "plan_id": "17090a10b9fc", "design_id": "62c5c6f1296b", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/nvdla/hw", "commit": "8e06b1b9d85aab65b40d43d08eec5ea4681ff715", "path": "vmod/nvdla/cmac/NV_NVDLA_CMAC_CORE_MAC_nan.v", "sha256": "8ee0f92572e842fbea9e39c77d2b88f80c3ed3744c66b665a4c7366293ea6d42"}} {"question": "For the apb_uart_sv module, its DFG has a $dlatch and 13 $mux nodes. Considering that and the delay-targeted optimization plan, which structural features of the design matter for timing, and what delay gain and area cost should I expect?", "answer": "The DFG of apb_uart_sv has 66 nodes and 966 edges with an average degree of 14.64, including 13 $mux, 2 $pmux and 1 $dlatch. That high fanout fits the delay-oriented suggestion to duplicate logic with \"splitnets -driver\". The delay optimization estimates a -20.0 change in delay, which comes with a 10.0 increase in area and a 5.0 increase in power.", "source_file": "github_repos/riscv-mcu_e203_hbirdv2/rtl/e203/perips/apb_uart/apb_uart.v", "module_name": "apb_uart_sv", "tool_name": "graph_extractor+optimization_advisor", "tool_parameters": [{"graph_type": "DFG"}, {"target_metric": "delay"}], "tool_result": "[graph_extractor {\"graph_type\": \"DFG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"DFG\",\n...[41819 chars elided]...\n \"node_count\": 66,\n \"edge_count\": 966,\n \"graph_properties\": {\n \"node_types\": {\n \"$and\": 3,\n \"$not\": 4,\n \"$reduce_or\": 3,\n \"$logic_and\": 3,\n \"$logic_not\": 2,\n \"$adff\": 3,\n \"$adffe\": 5,\n \"$dlatch\": 1,\n \"$reduce_and\": 5,\n \"$mux\": 13,\n \"$eq\": 4,\n \"$pmux\": 2,\n \"uart_interrupt\": 1,\n \"io_generic_fifo\": 2,\n \"uart_rx\": 1,\n \"uart_tx\": 1,\n \"port_input\": 8,\n \"port_output\": 5\n },\n \"avg_degree\": 14.64,\n \"module_name\": \"apb_uart_sv\"\n },\n \"error\": null\n}\n\n[optimization_advisor {\"target_metric\": \"delay\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"delay\",\n \"recommended_recipes\": [\n \"synth -top apb_uart_sv\",\n \"opt -fast\",\n \"abc -fast -liberty stdcells.lib\",\n \"opt_clean\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"pipeline_insertion\",\n \"description\": \"Consider pipelining arithmetic operations\",\n \"command\": \"Use register retiming\"\n },\n {\n \"type\": \"logic_duplication\",\n \"description\": \"Duplicate logic to reduce fanout\",\n \"command\": \"splitnets -driver\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": 10.0,\n \"delay\": -20.0,\n \"power\": 5.0\n },\n \"trade_offs\": [\n \"Speed optimization increases area\",\n \"Higher power consumption\"\n ],\n \"error\": null\n}", "category": "multi_tool", "subcategory": "graph_extractor+optimization_advisor", "difficulty": "compositional", "question_hash": "ea7f80359577", "stage1_target": "[{\"tool\": \"graph_extractor\", \"parameters\": {\"graph_type\": \"DFG\"}}, {\"tool\": \"optimization_advisor\", \"parameters\": {\"target_metric\": \"delay\"}}]", "stage2_context": "Question: For the apb_uart_sv module, its DFG has a $dlatch and 13 $mux nodes. Considering that and the delay-targeted optimization plan, which structural features of the design matter for timing, and what delay gain and area cost should I expect?\n\n[graph_extractor {\"graph_type\": \"DFG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"DFG\",\n...[41819 chars elided]...\n \"node_count\": 66,\n \"edge_count\": 966,\n \"graph_properties\": {\n \"node_types\": {\n \"$and\": 3,\n \"$not\": 4,\n \"$reduce_or\": 3,\n \"$logic_and\": 3,\n \"$logic_not\": 2,\n \"$adff\": 3,\n \"$adffe\": 5,\n \"$dlatch\": 1,\n \"$reduce_and\": 5,\n \"$mux\": 13,\n \"$eq\": 4,\n \"$pmux\": 2,\n \"uart_interrupt\": 1,\n \"io_generic_fifo\": 2,\n \"uart_rx\": 1,\n \"uart_tx\": 1,\n \"port_input\": 8,\n \"port_output\": 5\n },\n \"avg_degree\": 14.64,\n \"module_name\": \"apb_uart_sv\"\n },\n \"error\": null\n}\n\n[optimization_advisor {\"target_metric\": \"delay\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"delay\",\n \"recommended_recipes\": [\n \"synth -top apb_uart_sv\",\n \"opt -fast\",\n \"abc -fast -liberty stdcells.lib\",\n \"opt_clean\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"pipeline_insertion\",\n \"description\": \"Consider pipelining arithmetic operations\",\n \"command\": \"Use register retiming\"\n },\n {\n \"type\": \"logic_duplication\",\n \"description\": \"Duplicate logic to reduce fanout\",\n \"command\": \"splitnets -driver\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": 10.0,\n \"delay\": -20.0,\n \"power\": 5.0\n },\n \"trade_offs\": [\n \"Speed optimization increases area\",\n \"Higher power consumption\"\n ],\n \"error\": null\n}", "plan_id": "36eb0afc54f3", "design_id": "62fedb172280", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/riscv-mcu/e203_hbirdv2", "commit": "9f3e34f337f5d0a1236a285871ffa2032491617a", "path": "rtl/e203/perips/apb_uart/apb_uart.v", "sha256": "bd31f4a19b8e81ba2c8ce02b3244ada38cf211445d8ec96151d55f7e946ecadc"}} {"question": "For apb_uart_sv, the medium-effort synthesis gives an area of 411.0 with 385 gates, including 8 negative-level latches. If I follow the area-targeted optimization plan, which includes aggressive operator sharing, what area and delay changes should I expect, and what cost should I keep in mind?", "answer": "The current apb_uart_sv netlist has an area of 411.0, a delay of 290.83, and 385 gates, of which 170 are $_AND_ cells and 8 are $_DLATCH_N_ latches. The area-targeted plan, which uses 'share -aggressive' and 'muxcover; opt', estimates an area change of -15.0 and a delay change of 5.0. The trade-off is that area optimization may increase delay and that aggressive sharing increases routing complexity.", "source_file": "github_repos/riscv-mcu_e203_hbirdv2/rtl/e203/perips/apb_uart/apb_uart.v", "module_name": "apb_uart_sv", "tool_name": "optimization_advisor+synthesis_tool", "tool_parameters": [{"target_metric": "area"}, {"optimization_level": "medium"}], "tool_result": "[optimization_advisor {\"target_metric\": \"area\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"area\",\n \"recommended_recipes\": [\n \"synth -top apb_uart_sv -flatten\",\n \"opt -full; share -aggressive; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean -purge\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"mux_optimization\",\n \"description\": \"Share multiplexers where possible\",\n \"command\": \"muxcover; opt\"\n },\n {\n \"type\": \"resource_sharing\",\n \"description\": \"Share arithmetic operators\",\n \"command\": \"share -aggressive\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": -15.0,\n \"delay\": 5.0,\n \"power\": -10.0\n },\n \"trade_offs\": [\n \"Area optimization may increase delay\",\n \"Aggressive sharing increases routing complexity\"\n ],\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 411.0,\n \"delay\": 290.83,\n \"power\": 0.385,\n \"gate_count\": 385,\n \"cell_breakdown\": {\n \"$_ANDNOT_\": 7,\n \"$_AND_\": 170,\n \"$_DFFE_PN0P_\": 34,\n \"$_DFF_PN0_\": 4,\n \"$_DFF_PN1_\": 2,\n \"$_DLATCH_N_\": 8,\n \"$_NAND_\": 48,\n \"$_NOR_\": 12,\n \"$_NOT_\": 4,\n \"$_ORNOT_\": 17,\n \"$_OR_\": 74,\n \"io_generic_fifo\": 2,\n \"uart_interrupt\": 1,\n \"uart_rx\": 1,\n \"uart_tx\": 1\n },\n \"wi\n...[1414 chars elided]...\n \"error\": null\n}", "category": "multi_tool", "subcategory": "optimization_advisor+synthesis_tool", "difficulty": "compositional", "question_hash": "73347b38263b", "stage1_target": "[{\"tool\": \"optimization_advisor\", \"parameters\": {\"target_metric\": \"area\"}}, {\"tool\": \"synthesis_tool\", \"parameters\": {\"optimization_level\": \"medium\"}}]", "stage2_context": "Question: For apb_uart_sv, the medium-effort synthesis gives an area of 411.0 with 385 gates, including 8 negative-level latches. If I follow the area-targeted optimization plan, which includes aggressive operator sharing, what area and delay changes should I expect, and what cost should I keep in mind?\n\n[optimization_advisor {\"target_metric\": \"area\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"area\",\n \"recommended_recipes\": [\n \"synth -top apb_uart_sv -flatten\",\n \"opt -full; share -aggressive; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean -purge\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"mux_optimization\",\n \"description\": \"Share multiplexers where possible\",\n \"command\": \"muxcover; opt\"\n },\n {\n \"type\": \"resource_sharing\",\n \"description\": \"Share arithmetic operators\",\n \"command\": \"share -aggressive\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": -15.0,\n \"delay\": 5.0,\n \"power\": -10.0\n },\n \"trade_offs\": [\n \"Area optimization may increase delay\",\n \"Aggressive sharing increases routing complexity\"\n ],\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 411.0,\n \"delay\": 290.83,\n \"power\": 0.385,\n \"gate_count\": 385,\n \"cell_breakdown\": {\n \"$_ANDNOT_\": 7,\n \"$_AND_\": 170,\n \"$_DFFE_PN0P_\": 34,\n \"$_DFF_PN0_\": 4,\n \"$_DFF_PN1_\": 2,\n \"$_DLATCH_N_\": 8,\n \"$_NAND_\": 48,\n \"$_NOR_\": 12,\n \"$_NOT_\": 4,\n \"$_ORNOT_\": 17,\n \"$_OR_\": 74,\n \"io_generic_fifo\": 2,\n \"uart_interrupt\": 1,\n \"uart_rx\": 1,\n \"uart_tx\": 1\n },\n \"wi\n...[1414 chars elided]...\n \"error\": null\n}", "plan_id": "c17d52e05d34", "design_id": "62fedb172280", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/riscv-mcu/e203_hbirdv2", "commit": "9f3e34f337f5d0a1236a285871ffa2032491617a", "path": "rtl/e203/perips/apb_uart/apb_uart.v", "sha256": "bd31f4a19b8e81ba2c8ce02b3244ada38cf211445d8ec96151d55f7e946ecadc"}} {"question": "For the servix module, the RTL-to-netlist mapping leaves some signals unmapped. Do the module's port and code structure explain why the active-low reset and the 'wire' entry have no netlist counterpart, and how good is the overall alignment?", "answer": "The RTL-to-netlist alignment score for servix is 66.67, with 4 mapped and 2 unmapped signals (i_rst_n and wire). This fits a purely structural wrapper: it has 2 inputs, 1 output, 0 always blocks, 0 assign statements and 0 regs, so i_rst_n is most likely turned into wb_rst or dropped rather than carried into the netlist as its own wire.", "source_file": "github_repos/olofk_serv/servant/servix.v", "module_name": "servix", "tool_name": "cross_stage_mapper+static_analyzer", "tool_parameters": [{}, {"analysis_type": "full"}], "tool_result": "[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"wb_rst\": [\n \"wb_rst\"\n ],\n \"wire\": [],\n \"wb_clk\": [\n \"wb_clk\"\n ],\n \"q\": [\n \"q\"\n ],\n \"i_rst_n\": [],\n \"i_clk\": [\n \"i_clk\"\n ]\n },\n \"alignment_score\": 66.67,\n \"unmapped_elements\": [\n \"wire\",\n \"i_rst_n\"\n ],\n \"mapping_statistics\": {\n \"rtl_signals\": 6,\n \"netlist_wires\": 4,\n \"netlist_cells\": 0,\n \"mapped_signals\": 4,\n \"unmapped_signals\": 2\n },\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"servix\",\n \"port_count\": {\n \"inputs\": 2,\n \"outputs\": 1,\n \"inouts\": 0,\n \"total\": 3\n },\n \"signal_count\": {\n \"wires\": 5,\n \"regs\": 0,\n \"parameters\": 4,\n \"total\": 5\n },\n \"always_blocks\": 0,\n \"assign_statements\": 0,\n \"instantiations\": [],\n \"code_complexity\": {\n \"lines_of_code\": 33,\n \"total_lines\": 39,\n \"cyclomatic_complexity\": 2,\n \"nesting_depth\": 0,\n \"operator_count\": 4\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "category": "multi_tool", "subcategory": "cross_stage_mapper+static_analyzer", "difficulty": "compositional", "question_hash": "d6701604659b", "stage1_target": "[{\"tool\": \"cross_stage_mapper\", \"parameters\": {}}, {\"tool\": \"static_analyzer\", \"parameters\": {\"analysis_type\": \"full\"}}]", "stage2_context": "Question: For the servix module, the RTL-to-netlist mapping leaves some signals unmapped. Do the module's port and code structure explain why the active-low reset and the 'wire' entry have no netlist counterpart, and how good is the overall alignment?\n\n[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"wb_rst\": [\n \"wb_rst\"\n ],\n \"wire\": [],\n \"wb_clk\": [\n \"wb_clk\"\n ],\n \"q\": [\n \"q\"\n ],\n \"i_rst_n\": [],\n \"i_clk\": [\n \"i_clk\"\n ]\n },\n \"alignment_score\": 66.67,\n \"unmapped_elements\": [\n \"wire\",\n \"i_rst_n\"\n ],\n \"mapping_statistics\": {\n \"rtl_signals\": 6,\n \"netlist_wires\": 4,\n \"netlist_cells\": 0,\n \"mapped_signals\": 4,\n \"unmapped_signals\": 2\n },\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"servix\",\n \"port_count\": {\n \"inputs\": 2,\n \"outputs\": 1,\n \"inouts\": 0,\n \"total\": 3\n },\n \"signal_count\": {\n \"wires\": 5,\n \"regs\": 0,\n \"parameters\": 4,\n \"total\": 5\n },\n \"always_blocks\": 0,\n \"assign_statements\": 0,\n \"instantiations\": [],\n \"code_complexity\": {\n \"lines_of_code\": 33,\n \"total_lines\": 39,\n \"cyclomatic_complexity\": 2,\n \"nesting_depth\": 0,\n \"operator_count\": 4\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "plan_id": "013970342c76", "design_id": "63daa8925baf", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/olofk/serv", "commit": "f200eb2ed7b69ac1c6b8eddd47654522aeee5ce8", "path": "servant/servix.v", "sha256": "85b5070eb59a87e57e363210af83d1a9b9bd615aec6795454012818d85c34bc1"}} {"question": "For the servus module, the AIG graph shows how the top level is structured. Given that structure, what does a delay-targeted optimization flow predict for timing, and what does it cost in area?", "answer": "The AIG graph of servus has 7 nodes and 9 edges, and it is just a wrapper: one servus_clock_gen, one IBUFDS differential input buffer and one servant instance. A delay-targeted flow (synth -top servus, opt -fast, abc -fast, opt_clean, plus splitnets -driver logic duplication to reduce fanout) estimates a delay change of -20.0, but area goes up by 10.0 and power by 5.0.", "source_file": "github_repos/olofk_serv/servant/servus.v", "module_name": "servus", "tool_name": "graph_extractor+optimization_advisor", "tool_parameters": [{"graph_type": "AIG"}, {"target_metric": "delay"}], "tool_result": "[graph_extractor {\"graph_type\": \"AIG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"AIG\",\n...[970 chars elided]...\n \"node_count\": 7,\n \"edge_count\": 9,\n \"graph_properties\": {\n \"node_types\": {\n \"servus_clock_gen\": 1,\n \"IBUFDS\": 1,\n \"servant\": 1,\n \"port_input\": 2,\n \"port_output\": 2\n },\n \"avg_degree\": 1.29,\n \"module_name\": \"servus\"\n },\n \"error\": null\n}\n\n[optimization_advisor {\"target_metric\": \"delay\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"delay\",\n \"recommended_recipes\": [\n \"synth -top servus\",\n \"opt -fast\",\n \"abc -fast -liberty stdcells.lib\",\n \"opt_clean\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"logic_duplication\",\n \"description\": \"Duplicate logic to reduce fanout\",\n \"command\": \"splitnets -driver\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": 10.0,\n \"delay\": -20.0,\n \"power\": 5.0\n },\n \"trade_offs\": [\n \"Speed optimization increases area\",\n \"Higher power consumption\"\n ],\n \"error\": null\n}", "category": "multi_tool", "subcategory": "graph_extractor+optimization_advisor", "difficulty": "compositional", "question_hash": "3054f0ce1c39", "stage1_target": "[{\"tool\": \"graph_extractor\", \"parameters\": {\"graph_type\": \"AIG\"}}, {\"tool\": \"optimization_advisor\", \"parameters\": {\"target_metric\": \"delay\"}}]", "stage2_context": "Question: For the servus module, the AIG graph shows how the top level is structured. Given that structure, what does a delay-targeted optimization flow predict for timing, and what does it cost in area?\n\n[graph_extractor {\"graph_type\": \"AIG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"AIG\",\n...[970 chars elided]...\n \"node_count\": 7,\n \"edge_count\": 9,\n \"graph_properties\": {\n \"node_types\": {\n \"servus_clock_gen\": 1,\n \"IBUFDS\": 1,\n \"servant\": 1,\n \"port_input\": 2,\n \"port_output\": 2\n },\n \"avg_degree\": 1.29,\n \"module_name\": \"servus\"\n },\n \"error\": null\n}\n\n[optimization_advisor {\"target_metric\": \"delay\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"delay\",\n \"recommended_recipes\": [\n \"synth -top servus\",\n \"opt -fast\",\n \"abc -fast -liberty stdcells.lib\",\n \"opt_clean\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"logic_duplication\",\n \"description\": \"Duplicate logic to reduce fanout\",\n \"command\": \"splitnets -driver\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": 10.0,\n \"delay\": -20.0,\n \"power\": 5.0\n },\n \"trade_offs\": [\n \"Speed optimization increases area\",\n \"Higher power consumption\"\n ],\n \"error\": null\n}", "plan_id": "7702425efebf", "design_id": "64bacaf6b67c", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/olofk/serv", "commit": "f200eb2ed7b69ac1c6b8eddd47654522aeee5ce8", "path": "servant/servus.v", "sha256": "133375d3748673d272a80d3e123ad2c044debcc4f05f3c2aa0d3e477c6222f04"}} {"question": "In the AIG graph of the pll module, how many nodes and edges are there, and how does that compare with the cell count, wire count, and critical-path delay estimate you get when it's synthesized at medium optimization? Is there any logic around the PLL primitive?", "answer": "The AIG graph of pll has 4 nodes (1 EHXPLLL, 1 input port, 2 output ports) and 13 edges, and medium-optimization synthesis agrees: a gate_count of 1 (a single EHXPLLL cell), 5 wires and a critical-path estimate of 50.0. So the module has no logic around the PLL primitive and is just a wrapper for one hard EHXPLLL block.", "source_file": "github_repos/olofk_serv/servant/ecppll.v", "module_name": "pll", "tool_name": "graph_extractor+synthesis_tool", "tool_parameters": [{"graph_type": "AIG"}, {"optimization_level": "medium"}], "tool_result": "[graph_extractor {\"graph_type\": \"AIG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"AIG\",\n...[1257 chars elided]...\n \"node_count\": 4,\n \"edge_count\": 13,\n \"graph_properties\": {\n \"node_types\": {\n \"EHXPLLL\": 1,\n \"port_input\": 1,\n \"port_output\": 2\n },\n \"avg_degree\": 3.25,\n \"module_name\": \"pll\"\n },\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 1.0,\n \"delay\": 50.0,\n \"power\": 0.001,\n \"gate_count\": 1,\n \"cell_breakdown\": {\n \"EHXPLLL\": 1\n },\n \"wire_count\": 5,\n \"wire_bits\": 5,\n \"critical_path_estimate\": 50.0,\n...[1071 chars elided]...\n \"error\": null\n}", "category": "multi_tool", "subcategory": "graph_extractor+synthesis_tool", "difficulty": "compositional", "question_hash": "b04c67dec2eb", "stage1_target": "[{\"tool\": \"graph_extractor\", \"parameters\": {\"graph_type\": \"AIG\"}}, {\"tool\": \"synthesis_tool\", \"parameters\": {\"optimization_level\": \"medium\"}}]", "stage2_context": "Question: In the AIG graph of the pll module, how many nodes and edges are there, and how does that compare with the cell count, wire count, and critical-path delay estimate you get when it's synthesized at medium optimization? Is there any logic around the PLL primitive?\n\n[graph_extractor {\"graph_type\": \"AIG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"AIG\",\n...[1257 chars elided]...\n \"node_count\": 4,\n \"edge_count\": 13,\n \"graph_properties\": {\n \"node_types\": {\n \"EHXPLLL\": 1,\n \"port_input\": 1,\n \"port_output\": 2\n },\n \"avg_degree\": 3.25,\n \"module_name\": \"pll\"\n },\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 1.0,\n \"delay\": 50.0,\n \"power\": 0.001,\n \"gate_count\": 1,\n \"cell_breakdown\": {\n \"EHXPLLL\": 1\n },\n \"wire_count\": 5,\n \"wire_bits\": 5,\n \"critical_path_estimate\": 50.0,\n...[1071 chars elided]...\n \"error\": null\n}", "plan_id": "b7e887a3e9a5", "design_id": "67724c1ef87b", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/olofk/serv", "commit": "f200eb2ed7b69ac1c6b8eddd47654522aeee5ce8", "path": "servant/ecppll.v", "sha256": "9a5d1328eec013398fd69d835a11cc413378d935dc94ac4b0adff68626dc230f"}} {"question": "For the slave_mem module, given its code complexity profile, would applying an area-targeted optimization flow be reasonable, and what trade-off should I expect?", "answer": "slave_mem is fairly control-heavy, with a cyclomatic complexity of 36, a nesting depth of 22, 594 operators and 6 assign statements, so an area flow with mux sharing (\"muxcover; opt\") and \"share -aggressive\" is a good fit. That flow is estimated to give a -15.0 area change and a -10.0 power change. The trade-off is a delay increase of 5.0, and aggressive sharing adds routing complexity.", "source_file": "github_repos/nvdla_hw/verif/synth_tb/memory.v", "module_name": "slave_mem", "tool_name": "optimization_advisor+static_analyzer", "tool_parameters": [{"target_metric": "area"}, {"analysis_type": "full"}], "tool_result": "[optimization_advisor {\"target_metric\": \"area\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"area\",\n \"recommended_recipes\": [\n \"synth -top slave_mem -flatten\",\n \"opt -full; share -aggressive; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean -purge\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"mux_optimization\",\n \"description\": \"Share multiplexers where possible\",\n \"command\": \"muxcover; opt\"\n },\n {\n \"type\": \"resource_sharing\",\n \"description\": \"Share arithmetic operators\",\n \"command\": \"share -aggressive\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": -15.0,\n \"delay\": 5.0,\n \"power\": -10.0\n },\n \"trade_offs\": [\n \"Area optimization may increase delay\",\n \"Aggressive sharing increases routing complexity\"\n ],\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"slave_mem\",\n \"port_count\": {\n \"inputs\": 3,\n \"outputs\": 0,\n \"inouts\": 0,\n \"total\": 3\n },\n \"signal_count\": {\n \"wires\": 5,\n \"regs\": 10,\n \"parameters\": 2,\n \"total\": 15\n },\n \"always_blocks\": 1,\n \"assign_statements\": 6,\n \"instantiations\": [\n \"assert_module\",\n \"endif\",\n \"write\",\n \"throttle\",\n \"SYNTH_5130\",\n \"read\",\n \"size\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 272,\n \"total_lines\": 361,\n \"cyclomatic_complexity\": 36,\n \"nesting_depth\": 22,\n \"operator_count\": 594\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "category": "multi_tool", "subcategory": "optimization_advisor+static_analyzer", "difficulty": "compositional", "question_hash": "af4adb58d37a", "stage1_target": "[{\"tool\": \"optimization_advisor\", \"parameters\": {\"target_metric\": \"area\"}}, {\"tool\": \"static_analyzer\", \"parameters\": {\"analysis_type\": \"full\"}}]", "stage2_context": "Question: For the slave_mem module, given its code complexity profile, would applying an area-targeted optimization flow be reasonable, and what trade-off should I expect?\n\n[optimization_advisor {\"target_metric\": \"area\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"area\",\n \"recommended_recipes\": [\n \"synth -top slave_mem -flatten\",\n \"opt -full; share -aggressive; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean -purge\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"mux_optimization\",\n \"description\": \"Share multiplexers where possible\",\n \"command\": \"muxcover; opt\"\n },\n {\n \"type\": \"resource_sharing\",\n \"description\": \"Share arithmetic operators\",\n \"command\": \"share -aggressive\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": -15.0,\n \"delay\": 5.0,\n \"power\": -10.0\n },\n \"trade_offs\": [\n \"Area optimization may increase delay\",\n \"Aggressive sharing increases routing complexity\"\n ],\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"slave_mem\",\n \"port_count\": {\n \"inputs\": 3,\n \"outputs\": 0,\n \"inouts\": 0,\n \"total\": 3\n },\n \"signal_count\": {\n \"wires\": 5,\n \"regs\": 10,\n \"parameters\": 2,\n \"total\": 15\n },\n \"always_blocks\": 1,\n \"assign_statements\": 6,\n \"instantiations\": [\n \"assert_module\",\n \"endif\",\n \"write\",\n \"throttle\",\n \"SYNTH_5130\",\n \"read\",\n \"size\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 272,\n \"total_lines\": 361,\n \"cyclomatic_complexity\": 36,\n \"nesting_depth\": 22,\n \"operator_count\": 594\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "plan_id": "40fc9698825b", "design_id": "679b35003fbe", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/nvdla/hw", "commit": "8e06b1b9d85aab65b40d43d08eec5ea4681ff715", "path": "verif/synth_tb/memory.v", "sha256": "00d5a61e959f26d5a26d0b4a9ce68f054af750c8a4f0ae4084863b7228274d52"}} {"question": "For sirv_AsyncResetReg, which has just a single register and one always block, is it worth running the area-targeted optimization flow with aggressive resource sharing? Please weigh the expected area change and its trade-offs against how complex the module actually is.", "answer": "The area-targeted flow estimates a -15.0 area change, but it costs about 5.0 in delay, and its main suggestion is \"share -aggressive\" to share arithmetic operators, which also adds routing complexity. sirv_AsyncResetReg is very small: it has 1 reg, 0 wires, 1 always block, 26 lines of code, a cyclomatic complexity of 5 and no lint warnings. That leaves little logic to share, so the real gain is probably small and the aggressive sharing step is hard to justify.", "source_file": "github_repos/riscv-mcu_e203_hbirdv2/rtl/e203/perips/sirv_AsyncResetReg.v", "module_name": "sirv_AsyncResetReg", "tool_name": "optimization_advisor+static_analyzer", "tool_parameters": [{"target_metric": "area"}, {"analysis_type": "full"}], "tool_result": "[optimization_advisor {\"target_metric\": \"area\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"area\",\n \"recommended_recipes\": [\n \"synth -top sirv_AsyncResetReg -flatten\",\n \"opt -full; share -aggressive; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean -purge\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"resource_sharing\",\n \"description\": \"Share arithmetic operators\",\n \"command\": \"share -aggressive\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": -15.0,\n \"delay\": 5.0,\n \"power\": -10.0\n },\n \"trade_offs\": [\n \"Area optimization may increase delay\",\n \"Aggressive sharing increases routing complexity\"\n ],\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"sirv_AsyncResetReg\",\n \"port_count\": {\n \"inputs\": 4,\n \"outputs\": 1,\n \"inouts\": 0,\n \"total\": 5\n },\n \"signal_count\": {\n \"wires\": 0,\n \"regs\": 1,\n \"parameters\": 0,\n \"total\": 1\n },\n \"always_blocks\": 1,\n \"assign_statements\": 0,\n \"instantiations\": [],\n \"code_complexity\": {\n \"lines_of_code\": 26,\n \"total_lines\": 39,\n \"cyclomatic_complexity\": 5,\n \"nesting_depth\": 3,\n \"operator_count\": 16\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "category": "multi_tool", "subcategory": "optimization_advisor+static_analyzer", "difficulty": "compositional", "question_hash": "ceeb611e01fe", "stage1_target": "[{\"tool\": \"optimization_advisor\", \"parameters\": {\"target_metric\": \"area\"}}, {\"tool\": \"static_analyzer\", \"parameters\": {\"analysis_type\": \"full\"}}]", "stage2_context": "Question: For sirv_AsyncResetReg, which has just a single register and one always block, is it worth running the area-targeted optimization flow with aggressive resource sharing? Please weigh the expected area change and its trade-offs against how complex the module actually is.\n\n[optimization_advisor {\"target_metric\": \"area\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"area\",\n \"recommended_recipes\": [\n \"synth -top sirv_AsyncResetReg -flatten\",\n \"opt -full; share -aggressive; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean -purge\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"resource_sharing\",\n \"description\": \"Share arithmetic operators\",\n \"command\": \"share -aggressive\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": -15.0,\n \"delay\": 5.0,\n \"power\": -10.0\n },\n \"trade_offs\": [\n \"Area optimization may increase delay\",\n \"Aggressive sharing increases routing complexity\"\n ],\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"sirv_AsyncResetReg\",\n \"port_count\": {\n \"inputs\": 4,\n \"outputs\": 1,\n \"inouts\": 0,\n \"total\": 5\n },\n \"signal_count\": {\n \"wires\": 0,\n \"regs\": 1,\n \"parameters\": 0,\n \"total\": 1\n },\n \"always_blocks\": 1,\n \"assign_statements\": 0,\n \"instantiations\": [],\n \"code_complexity\": {\n \"lines_of_code\": 26,\n \"total_lines\": 39,\n \"cyclomatic_complexity\": 5,\n \"nesting_depth\": 3,\n \"operator_count\": 16\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "plan_id": "aa755026c1e1", "design_id": "69b7a9dc9815", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/riscv-mcu/e203_hbirdv2", "commit": "9f3e34f337f5d0a1236a285871ffa2032491617a", "path": "rtl/e203/perips/sirv_AsyncResetReg.v", "sha256": "2ca876742ad8590abe6544097ab30054b91e6adae7a6d3976b5941714efe25d9"}} {"question": "For sirv_qspi_arbiter, the DFG shows 14 word-level $mux nodes and 2 $adffe registers. How does that compare with the medium-optimization synthesized netlist in terms of gate composition and register count, and what area and delay did synthesis report?", "answer": "The DFG of sirv_qspi_arbiter has 74 nodes, including 14 $mux, 6 $and, 6 $or and 2 $adffe registers. Synthesis turned this mux-heavy logic into a NAND-dominated netlist of 91 cells: 76 $_NAND_, 9 $_AND_ and 3 $_OR_, plus the 2 registers as one $_DFFE_PP0N_ and one $_DFFE_PP1N_. The reported area is 90.5 and the delay is 159.9.", "source_file": "github_repos/riscv-mcu_e203_hbirdv2/rtl/e203/perips/sirv_qspi_arbiter.v", "module_name": "sirv_qspi_arbiter", "tool_name": "graph_extractor+synthesis_tool", "tool_parameters": [{"graph_type": "DFG"}, {"optimization_level": "medium"}], "tool_result": "[graph_extractor {\"graph_type\": \"DFG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"DFG\",\n...[36421 chars elided]...\n \"node_count\": 74,\n \"edge_count\": 280,\n \"graph_properties\": {\n \"node_types\": {\n \"$mux\": 14,\n \"$or\": 6,\n \"$and\": 6,\n \"$not\": 1,\n \"$ne\": 1,\n \"$adffe\": 2,\n \"port_input\": 27,\n \"port_output\": 17\n },\n \"avg_degree\": 3.78,\n \"module_name\": \"sirv_qspi_arbiter\"\n },\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 90.5,\n \"delay\": 159.9,\n \"power\": 0.091,\n \"gate_count\": 91,\n \"cell_breakdown\": {\n \"$_AND_\": 9,\n \"$_DFFE_PP0N_\": 1,\n \"$_DFFE_PP1N_\": 1,\n \"$_NAND_\": 76,\n \"$_NOT_\": 1,\n \"$_OR_\": 3\n },\n \"wire_count\": 147,\n \"wire_bits\": 266,\n \"critical_path_estimate\": 159.9,\n...[1195 chars elided]...\n \"error\": null\n}", "category": "multi_tool", "subcategory": "graph_extractor+synthesis_tool", "difficulty": "compositional", "question_hash": "860ee6d28192", "stage1_target": "[{\"tool\": \"graph_extractor\", \"parameters\": {\"graph_type\": \"DFG\"}}, {\"tool\": \"synthesis_tool\", \"parameters\": {\"optimization_level\": \"medium\"}}]", "stage2_context": "Question: For sirv_qspi_arbiter, the DFG shows 14 word-level $mux nodes and 2 $adffe registers. How does that compare with the medium-optimization synthesized netlist in terms of gate composition and register count, and what area and delay did synthesis report?\n\n[graph_extractor {\"graph_type\": \"DFG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"DFG\",\n...[36421 chars elided]...\n \"node_count\": 74,\n \"edge_count\": 280,\n \"graph_properties\": {\n \"node_types\": {\n \"$mux\": 14,\n \"$or\": 6,\n \"$and\": 6,\n \"$not\": 1,\n \"$ne\": 1,\n \"$adffe\": 2,\n \"port_input\": 27,\n \"port_output\": 17\n },\n \"avg_degree\": 3.78,\n \"module_name\": \"sirv_qspi_arbiter\"\n },\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 90.5,\n \"delay\": 159.9,\n \"power\": 0.091,\n \"gate_count\": 91,\n \"cell_breakdown\": {\n \"$_AND_\": 9,\n \"$_DFFE_PP0N_\": 1,\n \"$_DFFE_PP1N_\": 1,\n \"$_NAND_\": 76,\n \"$_NOT_\": 1,\n \"$_OR_\": 3\n },\n \"wire_count\": 147,\n \"wire_bits\": 266,\n \"critical_path_estimate\": 159.9,\n...[1195 chars elided]...\n \"error\": null\n}", "plan_id": "8015c8f742a1", "design_id": "67db939bd77c", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/riscv-mcu/e203_hbirdv2", "commit": "9f3e34f337f5d0a1236a285871ffa2032491617a", "path": "rtl/e203/perips/sirv_qspi_arbiter.v", "sha256": "fbe04b6e1969c2297009d5797b4ab83c412311d75d7dc599aa2e97396daff370"}} {"question": "For NV_NVDLA_MCIF_WRITE_eg, I'm thinking about using aggressive resource sharing and mux sharing to cut area. Is that a good trade-off given how complex the control logic already is?", "answer": "The area-focused recommendation estimates a -15.0 area change from steps like 'share -aggressive' and 'muxcover; opt', with an estimated delay change of 5.0 and a warning that aggressive sharing increases routing complexity. That warning matters here because NV_NVDLA_MCIF_WRITE_eg already has a cyclomatic complexity of 28, a nesting depth of 26 and 496 operators spread over 8 always blocks and 26 assign statements, so the extra delay and routing pressure deserve a careful look even though no lint warnings were reported.", "source_file": "github_repos/nvdla_hw/vmod/nvdla/nocif/NV_NVDLA_MCIF_WRITE_eg.v", "module_name": "NV_NVDLA_MCIF_WRITE_eg", "tool_name": "optimization_advisor+static_analyzer", "tool_parameters": [{"target_metric": "area"}, {"analysis_type": "full"}], "tool_result": "[optimization_advisor {\"target_metric\": \"area\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"area\",\n \"recommended_recipes\": [\n \"synth -top NV_NVDLA_MCIF_WRITE_eg -flatten\",\n \"opt -full; share -aggressive; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean -purge\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"mux_optimization\",\n \"description\": \"Share multiplexers where possible\",\n \"command\": \"muxcover; opt\"\n },\n {\n \"type\": \"resource_sharing\",\n \"description\": \"Share arithmetic operators\",\n \"command\": \"share -aggressive\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": -15.0,\n \"delay\": 5.0,\n \"power\": -10.0\n },\n \"trade_offs\": [\n \"Area optimization may increase delay\",\n \"Aggressive sharing increases routing complexity\"\n ],\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"NV_NVDLA_MCIF_WRITE_eg\",\n \"port_count\": {\n \"inputs\": 14,\n \"outputs\": 13,\n \"inouts\": 0,\n \"total\": 27\n },\n \"signal_count\": {\n \"wires\": 17,\n \"regs\": 8,\n \"parameters\": 0,\n \"total\": 25\n },\n \"always_blocks\": 8,\n \"assign_statements\": 26,\n \"instantiations\": [\n \"define\",\n \"W226\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 213,\n \"total_lines\": 310,\n \"cyclomatic_complexity\": 28,\n \"nesting_depth\": 26,\n \"operator_count\": 496\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "category": "multi_tool", "subcategory": "optimization_advisor+static_analyzer", "difficulty": "compositional", "question_hash": "44f3803a8eec", "stage1_target": "[{\"tool\": \"optimization_advisor\", \"parameters\": {\"target_metric\": \"area\"}}, {\"tool\": \"static_analyzer\", \"parameters\": {\"analysis_type\": \"full\"}}]", "stage2_context": "Question: For NV_NVDLA_MCIF_WRITE_eg, I'm thinking about using aggressive resource sharing and mux sharing to cut area. Is that a good trade-off given how complex the control logic already is?\n\n[optimization_advisor {\"target_metric\": \"area\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"area\",\n \"recommended_recipes\": [\n \"synth -top NV_NVDLA_MCIF_WRITE_eg -flatten\",\n \"opt -full; share -aggressive; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean -purge\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"mux_optimization\",\n \"description\": \"Share multiplexers where possible\",\n \"command\": \"muxcover; opt\"\n },\n {\n \"type\": \"resource_sharing\",\n \"description\": \"Share arithmetic operators\",\n \"command\": \"share -aggressive\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": -15.0,\n \"delay\": 5.0,\n \"power\": -10.0\n },\n \"trade_offs\": [\n \"Area optimization may increase delay\",\n \"Aggressive sharing increases routing complexity\"\n ],\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"NV_NVDLA_MCIF_WRITE_eg\",\n \"port_count\": {\n \"inputs\": 14,\n \"outputs\": 13,\n \"inouts\": 0,\n \"total\": 27\n },\n \"signal_count\": {\n \"wires\": 17,\n \"regs\": 8,\n \"parameters\": 0,\n \"total\": 25\n },\n \"always_blocks\": 8,\n \"assign_statements\": 26,\n \"instantiations\": [\n \"define\",\n \"W226\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 213,\n \"total_lines\": 310,\n \"cyclomatic_complexity\": 28,\n \"nesting_depth\": 26,\n \"operator_count\": 496\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "plan_id": "a5af9df47130", "design_id": "69e12cad5b37", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/nvdla/hw", "commit": "8e06b1b9d85aab65b40d43d08eec5ea4681ff715", "path": "vmod/nvdla/nocif/NV_NVDLA_MCIF_WRITE_eg.v", "sha256": "2fc21ee5f41bf8307a01af06544bfe03fcedac3248ba0ed8fa68eb90cddffa66"}} {"question": "For servant_ecp5_evn, how well do the RTL signals carry through to the netlist, and does the module's structure explain why the clock signal maps to more than one netlist net?", "answer": "The RTL-to-netlist alignment score is 85.71, with 6 of the 7 RTL signals mapped. The only unmapped element is the placeholder \"wire\", and clk maps to both clk and wb_clk. This fits the module's structure: it is a thin wrapper with 0 always blocks, 1 assign statement and a single servant_ecp5_evn_clock_gen instance that generates wb_clk from the input clock, so the 2 inputs and 2 outputs pass straight through without any local logic.", "source_file": "github_repos/olofk_serv/servant/servant_ecp5_evn.v", "module_name": "servant_ecp5_evn", "tool_name": "cross_stage_mapper+static_analyzer", "tool_parameters": [{}, {"analysis_type": "full"}], "tool_result": "[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"wb_rst\": [\n \"wb_rst\"\n ],\n \"wire\": [],\n \"clk\": [\n \"clk\",\n \"wb_clk\"\n ],\n \"nreset\": [\n \"nreset\"\n ],\n \"led0\": [\n \"led0\"\n ],\n \"wb_clk\": [\n \"wb_clk\"\n ],\n \"uart_txd\": [\n \"uart_txd\"\n ]\n },\n \"alignment_score\": 85.71,\n \"unmapped_elements\": [\n \"wire\"\n ],\n \"mapping_statistics\": {\n \"rtl_signals\": 7,\n \"netlist_wires\": 9,\n \"netlist_cells\": 0,\n \"mapped_signals\": 6,\n \"unmapped_signals\": 1\n },\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"servant_ecp5_evn\",\n \"port_count\": {\n \"inputs\": 2,\n \"outputs\": 2,\n \"inouts\": 0,\n \"total\": 4\n },\n \"signal_count\": {\n \"wires\": 6,\n \"regs\": 0,\n \"parameters\": 2,\n \"total\": 6\n },\n \"always_blocks\": 0,\n \"assign_statements\": 1,\n \"instantiations\": [\n \"servant_ecp5_evn_clock_gen\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 25,\n \"total_lines\": 32,\n \"cyclomatic_complexity\": 1,\n \"nesting_depth\": 0,\n \"operator_count\": 3\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "category": "multi_tool", "subcategory": "cross_stage_mapper+static_analyzer", "difficulty": "compositional", "question_hash": "d156afadecd7", "stage1_target": "[{\"tool\": \"cross_stage_mapper\", \"parameters\": {}}, {\"tool\": \"static_analyzer\", \"parameters\": {\"analysis_type\": \"full\"}}]", "stage2_context": "Question: For servant_ecp5_evn, how well do the RTL signals carry through to the netlist, and does the module's structure explain why the clock signal maps to more than one netlist net?\n\n[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"wb_rst\": [\n \"wb_rst\"\n ],\n \"wire\": [],\n \"clk\": [\n \"clk\",\n \"wb_clk\"\n ],\n \"nreset\": [\n \"nreset\"\n ],\n \"led0\": [\n \"led0\"\n ],\n \"wb_clk\": [\n \"wb_clk\"\n ],\n \"uart_txd\": [\n \"uart_txd\"\n ]\n },\n \"alignment_score\": 85.71,\n \"unmapped_elements\": [\n \"wire\"\n ],\n \"mapping_statistics\": {\n \"rtl_signals\": 7,\n \"netlist_wires\": 9,\n \"netlist_cells\": 0,\n \"mapped_signals\": 6,\n \"unmapped_signals\": 1\n },\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"servant_ecp5_evn\",\n \"port_count\": {\n \"inputs\": 2,\n \"outputs\": 2,\n \"inouts\": 0,\n \"total\": 4\n },\n \"signal_count\": {\n \"wires\": 6,\n \"regs\": 0,\n \"parameters\": 2,\n \"total\": 6\n },\n \"always_blocks\": 0,\n \"assign_statements\": 1,\n \"instantiations\": [\n \"servant_ecp5_evn_clock_gen\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 25,\n \"total_lines\": 32,\n \"cyclomatic_complexity\": 1,\n \"nesting_depth\": 0,\n \"operator_count\": 3\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "plan_id": "3b081ce3f132", "design_id": "6a880164ad32", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/olofk/serv", "commit": "f200eb2ed7b69ac1c6b8eddd47654522aeee5ce8", "path": "servant/servant_ecp5_evn.v", "sha256": "f88e25cd3bd4d74623adee7d8124ca7fc74aecc50bc61ce0262c062d4c4c89ca"}} {"question": "For the module top, do the RTL signals in1, r1q and out all map cleanly onto the gate-level netlist, and how does that mapping fit with the module's structural makeup: its port counts, the cell types it instantiates, and its complexity?", "answer": "All 3 RTL signals (in1, r1q, out) map to the netlist with an alignment score of 100.0 and 0 unmapped signals, though the netlist contains 10 wires. That fits the structural view of top: 1 input and 1 output port, instantiations of BUF_X1, DFF_X1 and AND2_X1, no always blocks, and a cyclomatic complexity of 1, so r1q is most likely the output of the DFF_X1 register cell.", "source_file": "github_repos/The-OpenROAD-Project_OpenROAD/src/dbSta/test/example1.v", "module_name": "top", "tool_name": "cross_stage_mapper+static_analyzer", "tool_parameters": [{}, {"analysis_type": "full"}], "tool_result": "[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"in1\": [\n \"in1\"\n ],\n \"r1q\": [\n \"r1q\"\n ],\n \"out\": [\n \"out\"\n ]\n },\n \"alignment_score\": 100.0,\n \"unmapped_elements\": [],\n \"mapping_statistics\": {\n \"rtl_signals\": 3,\n \"netlist_wires\": 10,\n \"netlist_cells\": 0,\n \"mapped_signals\": 3,\n \"unmapped_signals\": 0\n },\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"top\",\n \"port_count\": {\n \"inputs\": 1,\n \"outputs\": 1,\n \"inouts\": 0,\n \"total\": 2\n },\n \"signal_count\": {\n \"wires\": 1,\n \"regs\": 0,\n \"parameters\": 0,\n \"total\": 1\n },\n \"always_blocks\": 0,\n \"assign_statements\": 0,\n \"instantiations\": [\n \"BUF_X1\",\n \"DFF_X1\",\n \"AND2_X1\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 10,\n \"total_lines\": 12,\n \"cyclomatic_complexity\": 1,\n \"nesting_depth\": 0,\n \"operator_count\": 2\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "category": "multi_tool", "subcategory": "cross_stage_mapper+static_analyzer", "difficulty": "compositional", "question_hash": "52634c964e84", "stage1_target": "[{\"tool\": \"cross_stage_mapper\", \"parameters\": {}}, {\"tool\": \"static_analyzer\", \"parameters\": {\"analysis_type\": \"full\"}}]", "stage2_context": "Question: For the module top, do the RTL signals in1, r1q and out all map cleanly onto the gate-level netlist, and how does that mapping fit with the module's structural makeup: its port counts, the cell types it instantiates, and its complexity?\n\n[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"in1\": [\n \"in1\"\n ],\n \"r1q\": [\n \"r1q\"\n ],\n \"out\": [\n \"out\"\n ]\n },\n \"alignment_score\": 100.0,\n \"unmapped_elements\": [],\n \"mapping_statistics\": {\n \"rtl_signals\": 3,\n \"netlist_wires\": 10,\n \"netlist_cells\": 0,\n \"mapped_signals\": 3,\n \"unmapped_signals\": 0\n },\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"top\",\n \"port_count\": {\n \"inputs\": 1,\n \"outputs\": 1,\n \"inouts\": 0,\n \"total\": 2\n },\n \"signal_count\": {\n \"wires\": 1,\n \"regs\": 0,\n \"parameters\": 0,\n \"total\": 1\n },\n \"always_blocks\": 0,\n \"assign_statements\": 0,\n \"instantiations\": [\n \"BUF_X1\",\n \"DFF_X1\",\n \"AND2_X1\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 10,\n \"total_lines\": 12,\n \"cyclomatic_complexity\": 1,\n \"nesting_depth\": 0,\n \"operator_count\": 2\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "plan_id": "b2d025dc966f", "design_id": "6bba890372f7", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/The-OpenROAD-Project/OpenROAD", "commit": "3e3e483a4e3f98e2b5470b272040699de6dedbee", "path": "src/dbSta/test/example1.v", "sha256": "d2ae247ed121c7dfcff41e5f100cfd01fff4b9e3fdf7a95d54ea2f4c6d73acec"}} {"question": "For module td1, the RTL-to-netlist mapping leaves some signals unmapped, so it reaches less than full alignment. How does that match the cell makeup of the gate-level CDFG? Specifically, which RTL nets are missing, and what logic cells and ports does the CDFG contain?", "answer": "The mapping has an alignment score of 84.62, with 11 of 13 RTL signals mapped and net2 and net3 left unmapped. That fits the CDFG of td1, which has 13 nodes and 13 edges. Its cells are one NAND2_X1, one AND4_X1, one AND2_X1 and one BUF_X8, alongside 7 input ports and 2 output ports, so the missing intermediate nets were probably absorbed or renamed when these cells were mapped.", "source_file": "github_repos/The-OpenROAD-Project_OpenROAD/src/rsz/test/pinswap_flat.v", "module_name": "td1", "tool_name": "cross_stage_mapper+graph_extractor", "tool_parameters": [{}, {"graph_type": "CDFG"}], "tool_result": "[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"clk\": [\n \"clk\"\n ],\n \"a3\": [\n \"a3\"\n ],\n \"y1\": [\n \"y1\"\n ],\n \"net3\": [],\n \"a1\": [\n \"a1\"\n ],\n \"a4\": [\n \"a4\"\n ],\n \"n1\": [\n \"n1\"\n ],\n \"net1\": [\n \"net1\"\n ],\n \"a2\": [\n \"a2\"\n ],\n \"a5\": [\n \"a5\"\n ],\n \"net2\": [],\n \"a6\": [\n \"a6\"\n ],\n \"y2\": [\n \"y2\"\n ]\n },\n \"alignment_score\": 84.62,\n \"unmapped_elements\": [\n \"net3\",\n \"net2\"\n ],\n \"mapping_statistics\": {\n \"rtl_signals\": 13,\n \"netlist_wires\": 11,\n \"netlist_cells\": 0,\n \"mapped_signals\": 11,\n \"unmapped_signals\": 2\n },\n \"error\": null\n}\n\n[graph_extractor {\"graph_type\": \"CDFG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"CDFG\",\n...[1784 chars elided]...\n \"node_count\": 13,\n \"edge_count\": 13,\n \"graph_properties\": {\n \"node_types\": {\n \"NAND2_X1\": 1,\n \"AND4_X1\": 1,\n \"AND2_X1\": 1,\n \"BUF_X8\": 1,\n \"port_input\": 7,\n \"port_output\": 2\n },\n \"avg_degree\": 1.0,\n \"module_name\": \"td1\"\n },\n \"error\": null\n}", "category": "multi_tool", "subcategory": "cross_stage_mapper+graph_extractor", "difficulty": "compositional", "question_hash": "65e0bcd21014", "stage1_target": "[{\"tool\": \"cross_stage_mapper\", \"parameters\": {}}, {\"tool\": \"graph_extractor\", \"parameters\": {\"graph_type\": \"CDFG\"}}]", "stage2_context": "Question: For module td1, the RTL-to-netlist mapping leaves some signals unmapped, so it reaches less than full alignment. How does that match the cell makeup of the gate-level CDFG? Specifically, which RTL nets are missing, and what logic cells and ports does the CDFG contain?\n\n[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"clk\": [\n \"clk\"\n ],\n \"a3\": [\n \"a3\"\n ],\n \"y1\": [\n \"y1\"\n ],\n \"net3\": [],\n \"a1\": [\n \"a1\"\n ],\n \"a4\": [\n \"a4\"\n ],\n \"n1\": [\n \"n1\"\n ],\n \"net1\": [\n \"net1\"\n ],\n \"a2\": [\n \"a2\"\n ],\n \"a5\": [\n \"a5\"\n ],\n \"net2\": [],\n \"a6\": [\n \"a6\"\n ],\n \"y2\": [\n \"y2\"\n ]\n },\n \"alignment_score\": 84.62,\n \"unmapped_elements\": [\n \"net3\",\n \"net2\"\n ],\n \"mapping_statistics\": {\n \"rtl_signals\": 13,\n \"netlist_wires\": 11,\n \"netlist_cells\": 0,\n \"mapped_signals\": 11,\n \"unmapped_signals\": 2\n },\n \"error\": null\n}\n\n[graph_extractor {\"graph_type\": \"CDFG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"CDFG\",\n...[1784 chars elided]...\n \"node_count\": 13,\n \"edge_count\": 13,\n \"graph_properties\": {\n \"node_types\": {\n \"NAND2_X1\": 1,\n \"AND4_X1\": 1,\n \"AND2_X1\": 1,\n \"BUF_X8\": 1,\n \"port_input\": 7,\n \"port_output\": 2\n },\n \"avg_degree\": 1.0,\n \"module_name\": \"td1\"\n },\n \"error\": null\n}", "plan_id": "ec21ffaaf551", "design_id": "6d6626dc852c", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/The-OpenROAD-Project/OpenROAD", "commit": "3e3e483a4e3f98e2b5470b272040699de6dedbee", "path": "src/rsz/test/pinswap_flat.v", "sha256": "a1e1a2f96a597c8b0eda17ae89c9f908ae920b582468dcf8ea46876e6a203a6d"}} {"question": "For serv_rf_if, which is a purely combinational interface with no always blocks, how much area reduction does the area-targeted optimization plan estimate, and does that seem reasonable given the module's structure and complexity?", "answer": "The area-targeted plan, which uses passes like \"share -aggressive\" and \"muxcover; opt\", estimates an area change of -15.0 along with a delay penalty of 5.0. That figure seems plausible because serv_rf_if has 0 always blocks and 0 regs. Its logic is 24 assign statements with 192 operators across 35 ports, so mux sharing and operator sharing are where most of the savings would come from.", "source_file": "github_repos/olofk_serv/rtl/serv_rf_if.v", "module_name": "serv_rf_if", "tool_name": "optimization_advisor+static_analyzer", "tool_parameters": [{"target_metric": "area"}, {"analysis_type": "full"}], "tool_result": "[optimization_advisor {\"target_metric\": \"area\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"area\",\n \"recommended_recipes\": [\n \"synth -top serv_rf_if -flatten\",\n \"opt -full; share -aggressive; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean -purge\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"mux_optimization\",\n \"description\": \"Share multiplexers where possible\",\n \"command\": \"muxcover; opt\"\n },\n {\n \"type\": \"resource_sharing\",\n \"description\": \"Share arithmetic operators\",\n \"command\": \"share -aggressive\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": -15.0,\n \"delay\": 5.0,\n \"power\": -10.0\n },\n \"trade_offs\": [\n \"Area optimization may increase delay\",\n \"Aggressive sharing increases routing complexity\"\n ],\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"serv_rf_if\",\n \"port_count\": {\n \"inputs\": 23,\n \"outputs\": 12,\n \"inouts\": 0,\n \"total\": 35\n },\n \"signal_count\": {\n \"wires\": 17,\n \"regs\": 0,\n \"parameters\": 3,\n \"total\": 17\n },\n \"always_blocks\": 0,\n \"assign_statements\": 24,\n \"instantiations\": [\n \"read\",\n \"generate\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 125,\n \"total_lines\": 160,\n \"cyclomatic_complexity\": 5,\n \"nesting_depth\": 2,\n \"operator_count\": 192\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "category": "multi_tool", "subcategory": "optimization_advisor+static_analyzer", "difficulty": "compositional", "question_hash": "755ce7c13eee", "stage1_target": "[{\"tool\": \"optimization_advisor\", \"parameters\": {\"target_metric\": \"area\"}}, {\"tool\": \"static_analyzer\", \"parameters\": {\"analysis_type\": \"full\"}}]", "stage2_context": "Question: For serv_rf_if, which is a purely combinational interface with no always blocks, how much area reduction does the area-targeted optimization plan estimate, and does that seem reasonable given the module's structure and complexity?\n\n[optimization_advisor {\"target_metric\": \"area\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"area\",\n \"recommended_recipes\": [\n \"synth -top serv_rf_if -flatten\",\n \"opt -full; share -aggressive; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean -purge\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"mux_optimization\",\n \"description\": \"Share multiplexers where possible\",\n \"command\": \"muxcover; opt\"\n },\n {\n \"type\": \"resource_sharing\",\n \"description\": \"Share arithmetic operators\",\n \"command\": \"share -aggressive\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": -15.0,\n \"delay\": 5.0,\n \"power\": -10.0\n },\n \"trade_offs\": [\n \"Area optimization may increase delay\",\n \"Aggressive sharing increases routing complexity\"\n ],\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"serv_rf_if\",\n \"port_count\": {\n \"inputs\": 23,\n \"outputs\": 12,\n \"inouts\": 0,\n \"total\": 35\n },\n \"signal_count\": {\n \"wires\": 17,\n \"regs\": 0,\n \"parameters\": 3,\n \"total\": 17\n },\n \"always_blocks\": 0,\n \"assign_statements\": 24,\n \"instantiations\": [\n \"read\",\n \"generate\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 125,\n \"total_lines\": 160,\n \"cyclomatic_complexity\": 5,\n \"nesting_depth\": 2,\n \"operator_count\": 192\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "plan_id": "7145c6e6b10c", "design_id": "6fa45123369b", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/olofk/serv", "commit": "f200eb2ed7b69ac1c6b8eddd47654522aeee5ce8", "path": "rtl/serv_rf_if.v", "sha256": "63fd0d2ec2f89201b20690c467ebbcae964a85b4570254a95154f832cf0dcb2e"}} {"question": "For NV_NVDLA_CSC_dual_reg, how well do the RTL signals carry through to the netlist, and how does that line up with the module's register count and code complexity?", "answer": "In NV_NVDLA_CSC_dual_reg, 66 of 99 RTL signals map to the netlist, giving an alignment score of 66.67, and 33 signals are left unmapped (for example conv_mode and weight_kernel). The design declares 66 regs and 50 wires, and its cyclomatic complexity of 72 is high for a register file. That complexity likely reflects heavy address decoding across 510 lines of code, and the decode logic may be why so many field names are flattened or renamed in the netlist.", "source_file": "github_repos/nvdla_hw/vmod/nvdla/csc/NV_NVDLA_CSC_dual_reg.v", "module_name": "NV_NVDLA_CSC_dual_reg", "tool_name": "cross_stage_mapper+static_analyzer", "tool_parameters": [{}, {"analysis_type": "full"}], "tool_result": "[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"cya\": [\n \"nvdla_csc_d_cya_0_out\",\n \"nvdla_csc_d_cya_0_wren\"\n ],\n \"nvdla_csc_d_weight_size_ext_0_0_wren\": [\n \"nvdla_csc_d_weight_size_ext_0_0_wren\"\n ],\n \"entries\": [],\n \"nvdla_csc_d_datain_size_ext_1_0_out\": [\n \"nvdla_csc_d_datain_size_ext_1_0_out\"\n ],\n \"nvdla_csc_d_dataout_size_0_0_out\": [\n \"nvdla_csc_d_dataout_size_0_0_out\"\n \n...[5994 chars elided]...\n ],\n \"atomics\": [\n \"nvdla_csc_d_atomics_0_wren\",\n \"nvdla_csc_d_atomics_0_out\"\n ],\n \"reg_offset\": [\n \"reg_offset_rd_int\",\n \"reg_offset_wr\",\n \"reg_offset\"\n ],\n \"x_dilation_ext\": []\n },\n \"alignment_score\": 66.67,\n \"unmapped_elements\": [\n \"entries\",\n \"data_reuse\",\n \"conv_mode\",\n \"weight_kernel\",\n \"pra_truncate\",\n \"weight_height_ext\",\n \"y_dilation_ext\",\n \"data_bank\",\n \"arreggen_dump\",\n \"rls_slices\",\n \"dataout_width\",\n \"dataout_channel\",\n \"in_precision\",\n \"skip_weight_rls\",\n \"batches\",\n \"datain_channel_ext\",\n \"dataout_height\",\n \"weight_width_ext\",\n \"conv_x_stride_ext\",\n \"conv_y_stride_ext\"\n ],\n \"mapping_statistics\": {\n \"rtl_signals\": 99,\n \"netlist_wires\": 4190,\n \"netlist_cells\": 0,\n \"mapped_signals\": 66,\n \"unmapped_signals\": 33\n },\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"NV_NVDLA_CSC_dual_reg\",\n \"port_count\": {\n \"inputs\": 6,\n \"outputs\": 39,\n \"inouts\": 0,\n \"total\": 45\n },\n \"signal_count\": {\n \"wires\": 50,\n \"regs\": 66,\n \"parameters\": 0,\n \"total\": 116\n },\n \"always_blocks\": 3,\n \"assign_statements\": 27,\n \"instantiations\": [\n \"y_extension\",\n \"cya\",\n \"dataout_height\",\n \"entries\",\n \"datain_format\",\n \"data_reuse\",\n \"weight_width_ext\",\n \"conv_x_stride_ext\",\n \"Unknown\",\n \"conv_y_stride_ext\",\n \"proc_precision\",\n \"conv_mode\",\n \"skip_data_rls\",\n \"weight_kernel\",\n \"weight_bank\",\n \"weight_bytes\",\n \"wmb_bytes\",\n \"pra_truncate\",\n \"weight_height_ext\",\n \"y_dilation_ext\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 510,\n \"total_lines\": 640,\n \"cyclomatic_complexity\": 72,\n \"nesting_depth\": 70,\n \"operator_count\": 794\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "category": "multi_tool", "subcategory": "cross_stage_mapper+static_analyzer", "difficulty": "compositional", "question_hash": "c72cceb076d4", "stage1_target": "[{\"tool\": \"cross_stage_mapper\", \"parameters\": {}}, {\"tool\": \"static_analyzer\", \"parameters\": {\"analysis_type\": \"full\"}}]", "stage2_context": "Question: For NV_NVDLA_CSC_dual_reg, how well do the RTL signals carry through to the netlist, and how does that line up with the module's register count and code complexity?\n\n[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"cya\": [\n \"nvdla_csc_d_cya_0_out\",\n \"nvdla_csc_d_cya_0_wren\"\n ],\n \"nvdla_csc_d_weight_size_ext_0_0_wren\": [\n \"nvdla_csc_d_weight_size_ext_0_0_wren\"\n ],\n \"entries\": [],\n \"nvdla_csc_d_datain_size_ext_1_0_out\": [\n \"nvdla_csc_d_datain_size_ext_1_0_out\"\n ],\n \"nvdla_csc_d_dataout_size_0_0_out\": [\n \"nvdla_csc_d_dataout_size_0_0_out\"\n \n...[5994 chars elided]...\n ],\n \"atomics\": [\n \"nvdla_csc_d_atomics_0_wren\",\n \"nvdla_csc_d_atomics_0_out\"\n ],\n \"reg_offset\": [\n \"reg_offset_rd_int\",\n \"reg_offset_wr\",\n \"reg_offset\"\n ],\n \"x_dilation_ext\": []\n },\n \"alignment_score\": 66.67,\n \"unmapped_elements\": [\n \"entries\",\n \"data_reuse\",\n \"conv_mode\",\n \"weight_kernel\",\n \"pra_truncate\",\n \"weight_height_ext\",\n \"y_dilation_ext\",\n \"data_bank\",\n \"arreggen_dump\",\n \"rls_slices\",\n \"dataout_width\",\n \"dataout_channel\",\n \"in_precision\",\n \"skip_weight_rls\",\n \"batches\",\n \"datain_channel_ext\",\n \"dataout_height\",\n \"weight_width_ext\",\n \"conv_x_stride_ext\",\n \"conv_y_stride_ext\"\n ],\n \"mapping_statistics\": {\n \"rtl_signals\": 99,\n \"netlist_wires\": 4190,\n \"netlist_cells\": 0,\n \"mapped_signals\": 66,\n \"unmapped_signals\": 33\n },\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"NV_NVDLA_CSC_dual_reg\",\n \"port_count\": {\n \"inputs\": 6,\n \"outputs\": 39,\n \"inouts\": 0,\n \"total\": 45\n },\n \"signal_count\": {\n \"wires\": 50,\n \"regs\": 66,\n \"parameters\": 0,\n \"total\": 116\n },\n \"always_blocks\": 3,\n \"assign_statements\": 27,\n \"instantiations\": [\n \"y_extension\",\n \"cya\",\n \"dataout_height\",\n \"entries\",\n \"datain_format\",\n \"data_reuse\",\n \"weight_width_ext\",\n \"conv_x_stride_ext\",\n \"Unknown\",\n \"conv_y_stride_ext\",\n \"proc_precision\",\n \"conv_mode\",\n \"skip_data_rls\",\n \"weight_kernel\",\n \"weight_bank\",\n \"weight_bytes\",\n \"wmb_bytes\",\n \"pra_truncate\",\n \"weight_height_ext\",\n \"y_dilation_ext\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 510,\n \"total_lines\": 640,\n \"cyclomatic_complexity\": 72,\n \"nesting_depth\": 70,\n \"operator_count\": 794\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "plan_id": "0b7ad73882fc", "design_id": "711b2913dac7", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/nvdla/hw", "commit": "8e06b1b9d85aab65b40d43d08eec5ea4681ff715", "path": "vmod/nvdla/csc/NV_NVDLA_CSC_dual_reg.v", "sha256": "8ea24728f75e4d2ca6679c6a1e7a9850667d3984db776e75a85e39070c79c5da"}} {"question": "NV_NVDLA_MCIF_read looks like a top-level wrapper. Given how its code is structured, how much can an area-targeted optimization flow realistically achieve on it, and what does that flow cost in timing?", "answer": "NV_NVDLA_MCIF_read has 0 always blocks and 0 assign statements; it only wires 92 ports (57 inputs, 35 outputs) to three submodules, NV_NVDLA_MCIF_READ_ig, NV_NVDLA_MCIF_READ_eg and NV_NVDLA_MCIF_READ_cq. The area-targeted recipe therefore depends on 'synth -top NV_NVDLA_MCIF_read -flatten' to expose the logic inside those submodules, so that 'share -aggressive' has arithmetic operators to share. The estimated result is an area change of -15.0 and a power change of -10.0, in exchange for a delay increase of 5.0 and more complex routing.", "source_file": "github_repos/nvdla_hw/vmod/nvdla/nocif/NV_NVDLA_MCIF_read.v", "module_name": "NV_NVDLA_MCIF_read", "tool_name": "optimization_advisor+static_analyzer", "tool_parameters": [{"target_metric": "area"}, {"analysis_type": "full"}], "tool_result": "[optimization_advisor {\"target_metric\": \"area\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"area\",\n \"recommended_recipes\": [\n \"synth -top NV_NVDLA_MCIF_read -flatten\",\n \"opt -full; share -aggressive; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean -purge\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"resource_sharing\",\n \"description\": \"Share arithmetic operators\",\n \"command\": \"share -aggressive\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": -15.0,\n \"delay\": 5.0,\n \"power\": -10.0\n },\n \"trade_offs\": [\n \"Area optimization may increase delay\",\n \"Aggressive sharing increases routing complexity\"\n ],\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"NV_NVDLA_MCIF_read\",\n \"port_count\": {\n \"inputs\": 57,\n \"outputs\": 35,\n \"inouts\": 0,\n \"total\": 92\n },\n \"signal_count\": {\n \"wires\": 35,\n \"regs\": 0,\n \"parameters\": 0,\n \"total\": 35\n },\n \"always_blocks\": 0,\n \"assign_statements\": 0,\n \"instantiations\": [\n \"NV_NVDLA_MCIF_READ_ig\",\n \"NV_NVDLA_MCIF_READ_eg\",\n \"NV_NVDLA_MCIF_READ_cq\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 396,\n \"total_lines\": 462,\n \"cyclomatic_complexity\": 2,\n \"nesting_depth\": 0,\n \"operator_count\": 1389\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "category": "multi_tool", "subcategory": "optimization_advisor+static_analyzer", "difficulty": "compositional", "question_hash": "959d054ec40e", "stage1_target": "[{\"tool\": \"optimization_advisor\", \"parameters\": {\"target_metric\": \"area\"}}, {\"tool\": \"static_analyzer\", \"parameters\": {\"analysis_type\": \"full\"}}]", "stage2_context": "Question: NV_NVDLA_MCIF_read looks like a top-level wrapper. Given how its code is structured, how much can an area-targeted optimization flow realistically achieve on it, and what does that flow cost in timing?\n\n[optimization_advisor {\"target_metric\": \"area\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"area\",\n \"recommended_recipes\": [\n \"synth -top NV_NVDLA_MCIF_read -flatten\",\n \"opt -full; share -aggressive; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean -purge\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"resource_sharing\",\n \"description\": \"Share arithmetic operators\",\n \"command\": \"share -aggressive\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": -15.0,\n \"delay\": 5.0,\n \"power\": -10.0\n },\n \"trade_offs\": [\n \"Area optimization may increase delay\",\n \"Aggressive sharing increases routing complexity\"\n ],\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"NV_NVDLA_MCIF_read\",\n \"port_count\": {\n \"inputs\": 57,\n \"outputs\": 35,\n \"inouts\": 0,\n \"total\": 92\n },\n \"signal_count\": {\n \"wires\": 35,\n \"regs\": 0,\n \"parameters\": 0,\n \"total\": 35\n },\n \"always_blocks\": 0,\n \"assign_statements\": 0,\n \"instantiations\": [\n \"NV_NVDLA_MCIF_READ_ig\",\n \"NV_NVDLA_MCIF_READ_eg\",\n \"NV_NVDLA_MCIF_READ_cq\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 396,\n \"total_lines\": 462,\n \"cyclomatic_complexity\": 2,\n \"nesting_depth\": 0,\n \"operator_count\": 1389\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "plan_id": "c63f925dda1c", "design_id": "7057fad02292", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/nvdla/hw", "commit": "8e06b1b9d85aab65b40d43d08eec5ea4681ff715", "path": "vmod/nvdla/nocif/NV_NVDLA_MCIF_read.v", "sha256": "b6bd6e8db5bff7e930bb27e9dcbc1f9a471cf18982dfe1789d86352611c74fa8"}} {"question": "For NV_NVDLA_SDP_ERDMA_cq, given its structural complexity, is an area-targeted optimization flow with aggressive resource sharing a reasonable choice, and what improvement and trade-offs should I expect?", "answer": "NV_NVDLA_SDP_ERDMA_cq is fairly control-heavy: it has 9 always blocks, 14 assign statements, 13 regs and a cyclomatic complexity of 64. Its 564 operators leave room for the recommended 'share -aggressive' and 'muxcover; opt' steps. The area-targeted flow is estimated to give an area change of -15.0 and a power change of -10.0, but delay may get worse by 5.0, and aggressive sharing adds routing complexity.", "source_file": "github_repos/nvdla_hw/vmod/nvdla/sdp/NV_NVDLA_SDP_ERDMA_cq.v", "module_name": "NV_NVDLA_SDP_ERDMA_cq", "tool_name": "optimization_advisor+static_analyzer", "tool_parameters": [{"target_metric": "area"}, {"analysis_type": "full"}], "tool_result": "[optimization_advisor {\"target_metric\": \"area\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"area\",\n \"recommended_recipes\": [\n \"synth -top NV_NVDLA_SDP_ERDMA_cq -flatten\",\n \"opt -full; share -aggressive; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean -purge\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"mux_optimization\",\n \"description\": \"Share multiplexers where possible\",\n \"command\": \"muxcover; opt\"\n },\n {\n \"type\": \"resource_sharing\",\n \"description\": \"Share arithmetic operators\",\n \"command\": \"share -aggressive\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": -15.0,\n \"delay\": 5.0,\n \"power\": -10.0\n },\n \"trade_offs\": [\n \"Area optimization may increase delay\",\n \"Aggressive sharing increases routing complexity\"\n ],\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"NV_NVDLA_SDP_ERDMA_cq\",\n \"port_count\": {\n \"inputs\": 8,\n \"outputs\": 3,\n \"inouts\": 0,\n \"total\": 11\n },\n \"signal_count\": {\n \"wires\": 30,\n \"regs\": 13,\n \"parameters\": 1,\n \"total\": 43\n },\n \"always_blocks\": 9,\n \"assign_statements\": 14,\n \"instantiations\": [\n \"the\",\n \"Clock\",\n \"NV_CLK_gate_power\",\n \"fifo\",\n \"of\",\n \"set_boundary_optimization\",\n \"perfmon_histogram\",\n \"dangles\",\n \"NV_BLKBOX_SRC0\",\n \"translate_on\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 270,\n \"total_lines\": 451,\n \"cyclomatic_complexity\": 64,\n \"nesting_depth\": 43,\n \"operator_count\": 564\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "category": "multi_tool", "subcategory": "optimization_advisor+static_analyzer", "difficulty": "compositional", "question_hash": "311ea8ed740e", "stage1_target": "[{\"tool\": \"optimization_advisor\", \"parameters\": {\"target_metric\": \"area\"}}, {\"tool\": \"static_analyzer\", \"parameters\": {\"analysis_type\": \"full\"}}]", "stage2_context": "Question: For NV_NVDLA_SDP_ERDMA_cq, given its structural complexity, is an area-targeted optimization flow with aggressive resource sharing a reasonable choice, and what improvement and trade-offs should I expect?\n\n[optimization_advisor {\"target_metric\": \"area\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"area\",\n \"recommended_recipes\": [\n \"synth -top NV_NVDLA_SDP_ERDMA_cq -flatten\",\n \"opt -full; share -aggressive; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean -purge\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"mux_optimization\",\n \"description\": \"Share multiplexers where possible\",\n \"command\": \"muxcover; opt\"\n },\n {\n \"type\": \"resource_sharing\",\n \"description\": \"Share arithmetic operators\",\n \"command\": \"share -aggressive\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": -15.0,\n \"delay\": 5.0,\n \"power\": -10.0\n },\n \"trade_offs\": [\n \"Area optimization may increase delay\",\n \"Aggressive sharing increases routing complexity\"\n ],\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"NV_NVDLA_SDP_ERDMA_cq\",\n \"port_count\": {\n \"inputs\": 8,\n \"outputs\": 3,\n \"inouts\": 0,\n \"total\": 11\n },\n \"signal_count\": {\n \"wires\": 30,\n \"regs\": 13,\n \"parameters\": 1,\n \"total\": 43\n },\n \"always_blocks\": 9,\n \"assign_statements\": 14,\n \"instantiations\": [\n \"the\",\n \"Clock\",\n \"NV_CLK_gate_power\",\n \"fifo\",\n \"of\",\n \"set_boundary_optimization\",\n \"perfmon_histogram\",\n \"dangles\",\n \"NV_BLKBOX_SRC0\",\n \"translate_on\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 270,\n \"total_lines\": 451,\n \"cyclomatic_complexity\": 64,\n \"nesting_depth\": 43,\n \"operator_count\": 564\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "plan_id": "e7e394796479", "design_id": "716583cee6c8", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/nvdla/hw", "commit": "8e06b1b9d85aab65b40d43d08eec5ea4681ff715", "path": "vmod/nvdla/sdp/NV_NVDLA_SDP_ERDMA_cq.v", "sha256": "cc921b840e6d41881fc0b217621a7b4c8f35dfaef4bf6d1ec500cf9d6942593a"}} {"question": "For servant_mux, the RTL-to-netlist mapping leaves o_wb_cpu_ack unmapped, with an alignment score of 85.0. Before I apply an area-targeted optimization flow, which mux and sharing steps are recommended, what area and delay changes should I expect, and does the mapping gap mean I should check anything after optimizing?", "answer": "The RTL-to-netlist mapping for servant_mux reaches an alignment score of 85.0, with 17 of 20 RTL signals mapped. The unmapped ones are o_wb_cpu_ack, wire and reg. The area-targeted flow recommends 'muxcover; opt' and 'share -aggressive' and estimates -15.0 area at a cost of +5.0 delay. Since o_wb_cpu_ack already has no netlist counterpart, run the mapping again after optimizing to confirm the acknowledge path is still there and was not merged away by the sharing step.", "source_file": "github_repos/olofk_serv/servant/servant_mux.v", "module_name": "servant_mux", "tool_name": "cross_stage_mapper+optimization_advisor", "tool_parameters": [{}, {"target_metric": "area"}], "tool_result": "[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"o_wb_cpu_rdt\": [\n \"o_wb_cpu_rdt\"\n ],\n \"wire\": [],\n \"i_wb_cpu_adr\": [\n \"i_wb_cpu_adr\"\n ],\n \"i_rst\": [\n \"i_rst\"\n ],\n \"i_wb_cpu_dat\": [\n \"i_wb_cpu_dat\"\n ],\n \"o_wb_cpu_ack\": [],\n \"i_clk\": [\n \"i_clk\"\n ],\n \"o_wb_timer_dat\": [\n \"o_wb_timer_dat\"\n ],\n \"i_wb_gpio_rdt\": [\n \"i_wb_gpio_rdt\"\n ],\n \"o_wb_gpio_cyc\": [\n \"o_wb_gpio_cyc\"\n ],\n \"o_wb_gpio_dat\": [\n \"o_wb_gpio_dat\"\n ],\n \"i_wb_cpu_cyc\": [\n \"i_wb_cpu_cyc\"\n ],\n \"o_wb_timer_cyc\": [\n \"o_wb_timer_cyc\"\n ],\n \"reg\": [],\n \"i_wb_cpu_we\": [\n \"i_wb_cpu_we\"\n ],\n \"o_wb_timer_we\": [\n \"o_wb_timer_we\"\n ],\n \"o_wb_gpio_we\": [\n \"o_wb_gpio_we\"\n ],\n \"i_wb_cpu_sel\": [\n \"i_wb_cpu_sel\"\n ],\n \"s\": [\n \"s\",\n \"i_rst\",\n \"i_wb_cpu_sel\"\n ],\n \"i_wb_timer_rdt\": [\n \"i_wb_timer_rdt\"\n ]\n },\n \"alignment_score\": 85.0,\n \"unmapped_elements\": [\n \"wire\",\n \"o_wb_cpu_ack\",\n \"reg\"\n ],\n \"mapping_statistics\": {\n \"rtl_signals\": 20,\n \"netlist_wires\": 94,\n \"netlist_cells\": 0,\n \"mapped_signals\": 17,\n \"unmapped_signals\": 3\n },\n \"error\": null\n}\n\n[optimization_advisor {\"target_metric\": \"area\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"area\",\n \"recommended_recipes\": [\n \"synth -top servant_mux -flatten\",\n \"opt -full; share -aggressive; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean -purge\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"mux_optimization\",\n \"description\": \"Share multiplexers where possible\",\n \"command\": \"muxcover; opt\"\n },\n {\n \"type\": \"resource_sharing\",\n \"description\": \"Share arithmetic operators\",\n \"command\": \"share -aggressive\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": -15.0,\n \"delay\": 5.0,\n \"power\": -10.0\n },\n \"trade_offs\": [\n \"Area optimization may increase delay\",\n \"Aggressive sharing increases routing complexity\"\n ],\n \"error\": null\n}", "category": "multi_tool", "subcategory": "cross_stage_mapper+optimization_advisor", "difficulty": "compositional", "question_hash": "3fed134efe20", "stage1_target": "[{\"tool\": \"cross_stage_mapper\", \"parameters\": {}}, {\"tool\": \"optimization_advisor\", \"parameters\": {\"target_metric\": \"area\"}}]", "stage2_context": "Question: For servant_mux, the RTL-to-netlist mapping leaves o_wb_cpu_ack unmapped, with an alignment score of 85.0. Before I apply an area-targeted optimization flow, which mux and sharing steps are recommended, what area and delay changes should I expect, and does the mapping gap mean I should check anything after optimizing?\n\n[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"o_wb_cpu_rdt\": [\n \"o_wb_cpu_rdt\"\n ],\n \"wire\": [],\n \"i_wb_cpu_adr\": [\n \"i_wb_cpu_adr\"\n ],\n \"i_rst\": [\n \"i_rst\"\n ],\n \"i_wb_cpu_dat\": [\n \"i_wb_cpu_dat\"\n ],\n \"o_wb_cpu_ack\": [],\n \"i_clk\": [\n \"i_clk\"\n ],\n \"o_wb_timer_dat\": [\n \"o_wb_timer_dat\"\n ],\n \"i_wb_gpio_rdt\": [\n \"i_wb_gpio_rdt\"\n ],\n \"o_wb_gpio_cyc\": [\n \"o_wb_gpio_cyc\"\n ],\n \"o_wb_gpio_dat\": [\n \"o_wb_gpio_dat\"\n ],\n \"i_wb_cpu_cyc\": [\n \"i_wb_cpu_cyc\"\n ],\n \"o_wb_timer_cyc\": [\n \"o_wb_timer_cyc\"\n ],\n \"reg\": [],\n \"i_wb_cpu_we\": [\n \"i_wb_cpu_we\"\n ],\n \"o_wb_timer_we\": [\n \"o_wb_timer_we\"\n ],\n \"o_wb_gpio_we\": [\n \"o_wb_gpio_we\"\n ],\n \"i_wb_cpu_sel\": [\n \"i_wb_cpu_sel\"\n ],\n \"s\": [\n \"s\",\n \"i_rst\",\n \"i_wb_cpu_sel\"\n ],\n \"i_wb_timer_rdt\": [\n \"i_wb_timer_rdt\"\n ]\n },\n \"alignment_score\": 85.0,\n \"unmapped_elements\": [\n \"wire\",\n \"o_wb_cpu_ack\",\n \"reg\"\n ],\n \"mapping_statistics\": {\n \"rtl_signals\": 20,\n \"netlist_wires\": 94,\n \"netlist_cells\": 0,\n \"mapped_signals\": 17,\n \"unmapped_signals\": 3\n },\n \"error\": null\n}\n\n[optimization_advisor {\"target_metric\": \"area\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"area\",\n \"recommended_recipes\": [\n \"synth -top servant_mux -flatten\",\n \"opt -full; share -aggressive; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean -purge\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"mux_optimization\",\n \"description\": \"Share multiplexers where possible\",\n \"command\": \"muxcover; opt\"\n },\n {\n \"type\": \"resource_sharing\",\n \"description\": \"Share arithmetic operators\",\n \"command\": \"share -aggressive\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": -15.0,\n \"delay\": 5.0,\n \"power\": -10.0\n },\n \"trade_offs\": [\n \"Area optimization may increase delay\",\n \"Aggressive sharing increases routing complexity\"\n ],\n \"error\": null\n}", "plan_id": "092016a90c0b", "design_id": "71724d95cf6a", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/olofk/serv", "commit": "f200eb2ed7b69ac1c6b8eddd47654522aeee5ce8", "path": "servant/servant_mux.v", "sha256": "f4dba03c4f518258b108f90379cfd3b94c295898a342a67ab82c88e877d0082a"}} {"question": "For the dual-port memory module RAMDP_64X10_GL_M2_E2, how do the size of its source code and the number of always blocks compare with what you get after medium-effort synthesis? In particular, how many latches does it infer, and what are the resulting area and delay?", "answer": "The RAMDP_64X10_GL_M2_E2 source has 810 lines of code, 23 always blocks and 28 regs. Medium-effort synthesis turns this into a latch-based storage array of 640 $_DLATCH_N_ and 24 $_DLATCH_P_ cells, plus 1280 $_NAND_ gates, for 2842 gates in total. The result has an area of 3317.0 and a delay of 330.73.", "source_file": "github_repos/nvdla_hw/vmod/rams/model/RAMDP_64X10_GL_M2_E2.v", "module_name": "RAMDP_64X10_GL_M2_E2", "tool_name": "static_analyzer+synthesis_tool", "tool_parameters": [{"analysis_type": "full"}, {"optimization_level": "medium"}], "tool_result": "[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"RAMDP_64X10_GL_M2_E2\",\n \"port_count\": {\n \"inputs\": 39,\n \"outputs\": 2,\n \"inouts\": 0,\n \"total\": 41\n },\n \"signal_count\": {\n \"wires\": 34,\n \"regs\": 28,\n \"parameters\": 6,\n \"total\": 62\n },\n \"always_blocks\": 23,\n \"assign_statements\": 31,\n \"instantiations\": [\n \"endcase\",\n \"generate\",\n \"off\",\n \"RAM_BANK_RAMDP_64X10_GL_M2_E2\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 810,\n \"total_lines\": 1034,\n \"cyclomatic_complexity\": 76,\n \"nesting_depth\": 101,\n \"operator_count\": 1818\n },\n \"lint_warnings\": [],\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 3317.0,\n \"delay\": 330.73,\n \"power\": 2.842,\n \"gate_count\": 2842,\n \"cell_breakdown\": {\n \"$_ANDNOT_\": 3,\n \"$_AND_\": 28,\n \"$_DLATCH_N_\": 640,\n \"$_DLATCH_P_\": 24,\n \"$_NAND_\": 1280,\n \"$_NOR_\": 10,\n \"$_NOT_\": 1,\n \"$paramod$78d8f7dc5a8fb8cad875f12b7261e1f32b67c5ee\\\\vram_RAMDP_64X10_GL_M2_E2\": 1,\n \"RAM_BANK_RAMDP_64X10_GL_M2_E2\": 1\n },\n \"wire_count\": 57,\n \"wire_bits\": 93,\n \n...[1365 chars elided]...\n \"error\": null\n}", "category": "multi_tool", "subcategory": "static_analyzer+synthesis_tool", "difficulty": "compositional", "question_hash": "93ce8f24b5bf", "stage1_target": "[{\"tool\": \"static_analyzer\", \"parameters\": {\"analysis_type\": \"full\"}}, {\"tool\": \"synthesis_tool\", \"parameters\": {\"optimization_level\": \"medium\"}}]", "stage2_context": "Question: For the dual-port memory module RAMDP_64X10_GL_M2_E2, how do the size of its source code and the number of always blocks compare with what you get after medium-effort synthesis? In particular, how many latches does it infer, and what are the resulting area and delay?\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"RAMDP_64X10_GL_M2_E2\",\n \"port_count\": {\n \"inputs\": 39,\n \"outputs\": 2,\n \"inouts\": 0,\n \"total\": 41\n },\n \"signal_count\": {\n \"wires\": 34,\n \"regs\": 28,\n \"parameters\": 6,\n \"total\": 62\n },\n \"always_blocks\": 23,\n \"assign_statements\": 31,\n \"instantiations\": [\n \"endcase\",\n \"generate\",\n \"off\",\n \"RAM_BANK_RAMDP_64X10_GL_M2_E2\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 810,\n \"total_lines\": 1034,\n \"cyclomatic_complexity\": 76,\n \"nesting_depth\": 101,\n \"operator_count\": 1818\n },\n \"lint_warnings\": [],\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 3317.0,\n \"delay\": 330.73,\n \"power\": 2.842,\n \"gate_count\": 2842,\n \"cell_breakdown\": {\n \"$_ANDNOT_\": 3,\n \"$_AND_\": 28,\n \"$_DLATCH_N_\": 640,\n \"$_DLATCH_P_\": 24,\n \"$_NAND_\": 1280,\n \"$_NOR_\": 10,\n \"$_NOT_\": 1,\n \"$paramod$78d8f7dc5a8fb8cad875f12b7261e1f32b67c5ee\\\\vram_RAMDP_64X10_GL_M2_E2\": 1,\n \"RAM_BANK_RAMDP_64X10_GL_M2_E2\": 1\n },\n \"wire_count\": 57,\n \"wire_bits\": 93,\n \n...[1365 chars elided]...\n \"error\": null\n}", "plan_id": "a17f588576c9", "design_id": "7204feed74d0", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/nvdla/hw", "commit": "8e06b1b9d85aab65b40d43d08eec5ea4681ff715", "path": "vmod/rams/model/RAMDP_64X10_GL_M2_E2.v", "sha256": "c62139668ac68785f2305829e25cdd28fa70aac7798f81dbae259cbbc6aa04e9"}} {"question": "The servive module is a small structural wrapper: it has no always blocks and a single assign statement, and it instantiates servive_clock_gen. If I apply an area-targeted optimization flow to it, how much area reduction should I expect, what does that cost in delay, and is that estimate believable given how simple the module is?", "answer": "The area-targeted flow (synth -top servive -flatten, then aggressive sharing and abc mapping) estimates a -15.0 area change with a 5.0 delay penalty. The module itself has 0 always blocks, 1 assign statement, a cyclomatic complexity of 1 and only 3 operators, so it has almost nothing to share. Most of any real saving would have to come from flattening the servive_clock_gen instance, which means the estimate should be treated with caution.", "source_file": "github_repos/olofk_serv/servant/servive.v", "module_name": "servive", "tool_name": "optimization_advisor+static_analyzer", "tool_parameters": [{"target_metric": "area"}, {"analysis_type": "full"}], "tool_result": "[optimization_advisor {\"target_metric\": \"area\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"area\",\n \"recommended_recipes\": [\n \"synth -top servive -flatten\",\n \"opt -full; share -aggressive; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean -purge\"\n ],\n \"optimization_suggestions\": [],\n \"estimated_improvement\": {\n \"area\": -15.0,\n \"delay\": 5.0,\n \"power\": -10.0\n },\n \"trade_offs\": [\n \"Area optimization may increase delay\",\n \"Aggressive sharing increases routing complexity\"\n ],\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"servive\",\n \"port_count\": {\n \"inputs\": 2,\n \"outputs\": 2,\n \"inouts\": 0,\n \"total\": 4\n },\n \"signal_count\": {\n \"wires\": 6,\n \"regs\": 0,\n \"parameters\": 2,\n \"total\": 6\n },\n \"always_blocks\": 0,\n \"assign_statements\": 1,\n \"instantiations\": [\n \"servive_clock_gen\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 25,\n \"total_lines\": 32,\n \"cyclomatic_complexity\": 1,\n \"nesting_depth\": 0,\n \"operator_count\": 3\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "category": "multi_tool", "subcategory": "optimization_advisor+static_analyzer", "difficulty": "compositional", "question_hash": "002321a9a58b", "stage1_target": "[{\"tool\": \"optimization_advisor\", \"parameters\": {\"target_metric\": \"area\"}}, {\"tool\": \"static_analyzer\", \"parameters\": {\"analysis_type\": \"full\"}}]", "stage2_context": "Question: The servive module is a small structural wrapper: it has no always blocks and a single assign statement, and it instantiates servive_clock_gen. If I apply an area-targeted optimization flow to it, how much area reduction should I expect, what does that cost in delay, and is that estimate believable given how simple the module is?\n\n[optimization_advisor {\"target_metric\": \"area\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"area\",\n \"recommended_recipes\": [\n \"synth -top servive -flatten\",\n \"opt -full; share -aggressive; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean -purge\"\n ],\n \"optimization_suggestions\": [],\n \"estimated_improvement\": {\n \"area\": -15.0,\n \"delay\": 5.0,\n \"power\": -10.0\n },\n \"trade_offs\": [\n \"Area optimization may increase delay\",\n \"Aggressive sharing increases routing complexity\"\n ],\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"servive\",\n \"port_count\": {\n \"inputs\": 2,\n \"outputs\": 2,\n \"inouts\": 0,\n \"total\": 4\n },\n \"signal_count\": {\n \"wires\": 6,\n \"regs\": 0,\n \"parameters\": 2,\n \"total\": 6\n },\n \"always_blocks\": 0,\n \"assign_statements\": 1,\n \"instantiations\": [\n \"servive_clock_gen\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 25,\n \"total_lines\": 32,\n \"cyclomatic_complexity\": 1,\n \"nesting_depth\": 0,\n \"operator_count\": 3\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "plan_id": "e1d2cb578765", "design_id": "720ae7aca0d9", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/olofk/serv", "commit": "f200eb2ed7b69ac1c6b8eddd47654522aeee5ce8", "path": "servant/servive.v", "sha256": "de6e1500b0fbef50c52a647fe400b30bb178666ec25da6cf687350228d4bde35"}} {"question": "For NV_NVDLA_rubik, the AIG graph shows 45 nodes, including 3 NV_NVDLA_RUBIK_slcg instances and 34 ports. After medium-effort synthesis, how many cells and wires does the top-level netlist have, and what are its area and delay? Does the cell count match the submodule instances in the AIG?", "answer": "The AIG graph of NV_NVDLA_rubik has 45 nodes and 9236 edges. 18 of the nodes are port_input, 16 are port_output, and 3 are NV_NVDLA_RUBIK_slcg instances. Medium-effort synthesis gives a gate_count of 11 cells and 108 wires, with an area of 11.0 and a delay of 102.66, and its cell breakdown lists the same submodule instances as the AIG (one each of dma, dr2drc, intr, regfile, rf_core, rf_ctrl, seq_gen and wr_req, plus 3 slcg), so the top level is purely a structural wrapper.", "source_file": "github_repos/nvdla_hw/vmod/nvdla/rubik/NV_NVDLA_rubik.v", "module_name": "NV_NVDLA_rubik", "tool_name": "graph_extractor+synthesis_tool", "tool_parameters": [{"graph_type": "AIG"}, {"optimization_level": "medium"}], "tool_result": "[graph_extractor {\"graph_type\": \"AIG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"AIG\",\n...[56715 chars elided]...\n \"node_count\": 45,\n \"edge_count\": 9236,\n \"graph_properties\": {\n \"node_types\": {\n \"NV_NVDLA_RUBIK_dma\": 1,\n \"NV_NVDLA_RUBIK_dr2drc\": 1,\n \"NV_NVDLA_RUBIK_intr\": 1,\n \"NV_NVDLA_RUBIK_regfile\": 1,\n \"NV_NVDLA_RUBIK_rf_core\": 1,\n \"NV_NVDLA_RUBIK_rf_ctrl\": 1,\n \"NV_NVDLA_RUBIK_seq_gen\": 1,\n \"NV_NVDLA_RUBIK_slcg\": 3,\n \"NV_NVDLA_RUBIK_wr_req\": 1,\n \"port_input\": 18,\n \"port_output\": 16\n },\n \"avg_degree\": 205.24,\n \"module_name\": \"NV_NVDLA_rubik\"\n },\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 11.0,\n \"delay\": 102.66,\n \"power\": 0.011,\n \"gate_count\": 11,\n \"cell_breakdown\": {\n \"NV_NVDLA_RUBIK_dma\": 1,\n \"NV_NVDLA_RUBIK_dr2drc\": 1,\n \"NV_NVDLA_RUBIK_intr\": 1,\n \"NV_NVDLA_RUBIK_regfile\": 1,\n \"NV_NVDLA_RUBIK_rf_core\": 1,\n \"NV_NVDLA_RUBIK_rf_ctrl\": 1,\n \"NV_NVDLA_RUBIK_seq_gen\": 1,\n \"NV_NVDLA_RUBIK_slcg\": 3,\n \"NV_NVDLA_RUBIK_wr_req\": 1\n },\n \"wire_count\": 108,\n \"wir\n...[1371 chars elided]...\n \"error\": null\n}", "category": "multi_tool", "subcategory": "graph_extractor+synthesis_tool", "difficulty": "compositional", "question_hash": "2da701007b10", "stage1_target": "[{\"tool\": \"graph_extractor\", \"parameters\": {\"graph_type\": \"AIG\"}}, {\"tool\": \"synthesis_tool\", \"parameters\": {\"optimization_level\": \"medium\"}}]", "stage2_context": "Question: For NV_NVDLA_rubik, the AIG graph shows 45 nodes, including 3 NV_NVDLA_RUBIK_slcg instances and 34 ports. After medium-effort synthesis, how many cells and wires does the top-level netlist have, and what are its area and delay? Does the cell count match the submodule instances in the AIG?\n\n[graph_extractor {\"graph_type\": \"AIG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"AIG\",\n...[56715 chars elided]...\n \"node_count\": 45,\n \"edge_count\": 9236,\n \"graph_properties\": {\n \"node_types\": {\n \"NV_NVDLA_RUBIK_dma\": 1,\n \"NV_NVDLA_RUBIK_dr2drc\": 1,\n \"NV_NVDLA_RUBIK_intr\": 1,\n \"NV_NVDLA_RUBIK_regfile\": 1,\n \"NV_NVDLA_RUBIK_rf_core\": 1,\n \"NV_NVDLA_RUBIK_rf_ctrl\": 1,\n \"NV_NVDLA_RUBIK_seq_gen\": 1,\n \"NV_NVDLA_RUBIK_slcg\": 3,\n \"NV_NVDLA_RUBIK_wr_req\": 1,\n \"port_input\": 18,\n \"port_output\": 16\n },\n \"avg_degree\": 205.24,\n \"module_name\": \"NV_NVDLA_rubik\"\n },\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 11.0,\n \"delay\": 102.66,\n \"power\": 0.011,\n \"gate_count\": 11,\n \"cell_breakdown\": {\n \"NV_NVDLA_RUBIK_dma\": 1,\n \"NV_NVDLA_RUBIK_dr2drc\": 1,\n \"NV_NVDLA_RUBIK_intr\": 1,\n \"NV_NVDLA_RUBIK_regfile\": 1,\n \"NV_NVDLA_RUBIK_rf_core\": 1,\n \"NV_NVDLA_RUBIK_rf_ctrl\": 1,\n \"NV_NVDLA_RUBIK_seq_gen\": 1,\n \"NV_NVDLA_RUBIK_slcg\": 3,\n \"NV_NVDLA_RUBIK_wr_req\": 1\n },\n \"wire_count\": 108,\n \"wir\n...[1371 chars elided]...\n \"error\": null\n}", "plan_id": "4168f32eec5c", "design_id": "722b5910a24b", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/nvdla/hw", "commit": "8e06b1b9d85aab65b40d43d08eec5ea4681ff715", "path": "vmod/nvdla/rubik/NV_NVDLA_rubik.v", "sha256": "0308fae799e1747ec30f0f06701d84bcbeef1cd7bf2205df4e19470b2704e5ad"}} {"question": "In the CDFG of the counter module, a single DFFPOSX1 node drives the output, yet the source-level analysis reports no inputs. Does the module really implement counting logic, or is it just a lone flip-flop with no clock or data inputs? Back this up with the graph structure and the code metrics.", "answer": "It is only a lone flip-flop, not a real counter: the CDFG has just 2 nodes (one DFFPOSX1 and one port_output) and 1 edge from the flop's Q pin to the output. The source analysis agrees, showing 0 inputs, 1 output, 0 always blocks, 0 assign statements, an operator_count of 0 and a cyclomatic complexity of 1, so there is no clock or data input and no increment logic.", "source_file": "github_repos/The-OpenROAD-Project_OpenROAD/src/odb/test/data/floorplan_initialize.v", "module_name": "counter", "tool_name": "graph_extractor+static_analyzer", "tool_parameters": [{"graph_type": "CDFG"}, {"analysis_type": "full"}], "tool_result": "[graph_extractor {\"graph_type\": \"CDFG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"CDFG\",\n \"node_count\": 2,\n \"edge_count\": 1,\n \"graph_properties\": {\n \"node_types\": {\n \"DFFPOSX1\": 1,\n \"port_output\": 1\n },\n \"avg_degree\": 0.5,\n \"module_name\": \"counter\"\n },\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"counter\",\n \"port_count\": {\n \"inputs\": 0,\n \"outputs\": 1,\n \"inouts\": 0,\n \"total\": 1\n },\n \"signal_count\": {\n \"wires\": 0,\n \"regs\": 0,\n \"parameters\": 0,\n \"total\": 0\n },\n \"always_blocks\": 0,\n \"assign_statements\": 0,\n \"instantiations\": [\n \"DFFPOSX1\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 4,\n \"total_lines\": 6,\n \"cyclomatic_complexity\": 1,\n \"nesting_depth\": 0,\n \"operator_count\": 0\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "category": "multi_tool", "subcategory": "graph_extractor+static_analyzer", "difficulty": "compositional", "question_hash": "04767c4139e3", "stage1_target": "[{\"tool\": \"graph_extractor\", \"parameters\": {\"graph_type\": \"CDFG\"}}, {\"tool\": \"static_analyzer\", \"parameters\": {\"analysis_type\": \"full\"}}]", "stage2_context": "Question: In the CDFG of the counter module, a single DFFPOSX1 node drives the output, yet the source-level analysis reports no inputs. Does the module really implement counting logic, or is it just a lone flip-flop with no clock or data inputs? Back this up with the graph structure and the code metrics.\n\n[graph_extractor {\"graph_type\": \"CDFG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"CDFG\",\n \"node_count\": 2,\n \"edge_count\": 1,\n \"graph_properties\": {\n \"node_types\": {\n \"DFFPOSX1\": 1,\n \"port_output\": 1\n },\n \"avg_degree\": 0.5,\n \"module_name\": \"counter\"\n },\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"counter\",\n \"port_count\": {\n \"inputs\": 0,\n \"outputs\": 1,\n \"inouts\": 0,\n \"total\": 1\n },\n \"signal_count\": {\n \"wires\": 0,\n \"regs\": 0,\n \"parameters\": 0,\n \"total\": 0\n },\n \"always_blocks\": 0,\n \"assign_statements\": 0,\n \"instantiations\": [\n \"DFFPOSX1\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 4,\n \"total_lines\": 6,\n \"cyclomatic_complexity\": 1,\n \"nesting_depth\": 0,\n \"operator_count\": 0\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "plan_id": "3aa72f693cc0", "design_id": "7552d05c6e07", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/The-OpenROAD-Project/OpenROAD", "commit": "3e3e483a4e3f98e2b5470b272040699de6dedbee", "path": "src/odb/test/data/floorplan_initialize.v", "sha256": "742cb0b042178987844e8e6043bd842e22f17240cd7719c57f9588e10c28c2ef"}} {"question": "For sirv_tl_repeater_5, how does the number of state-holding elements in the CDFG compare with the reg count from the source code, and is the control complexity of the code reflected in the multiplexers in that CDFG?", "answer": "In the CDFG, sirv_tl_repeater_5 has 8 $adffe nodes and 9 $mux nodes out of 48 nodes in total. The source code declares 16 regs across 2 always blocks, with a cyclomatic complexity of 16 and a nesting depth of 14, so the deeply nested conditional logic shows up in the graph as a handful of muxes and enabled flip-flops.", "source_file": "github_repos/riscv-mcu_e203_hbirdv2/rtl/e203/perips/sirv_tl_repeater_5.v", "module_name": "sirv_tl_repeater_5", "tool_name": "graph_extractor+static_analyzer", "tool_parameters": [{"graph_type": "CDFG"}, {"analysis_type": "full"}], "tool_result": "[graph_extractor {\"graph_type\": \"CDFG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"CDFG\",\n...[34350 chars elided]...\n \"node_count\": 48,\n \"edge_count\": 451,\n \"graph_properties\": {\n \"node_types\": {\n \"$mux\": 9,\n \"$and\": 5,\n \"$not\": 2,\n \"$or\": 1,\n \"$adffe\": 8,\n \"$reduce_bool\": 1,\n \"port_input\": 12,\n \"port_output\": 10\n },\n \"avg_degree\": 9.4,\n \"module_name\": \"sirv_tl_repeater_5\"\n },\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"sirv_tl_repeater_5\",\n \"port_count\": {\n \"inputs\": 12,\n \"outputs\": 10,\n \"inouts\": 0,\n \"total\": 22\n },\n \"signal_count\": {\n \"wires\": 24,\n \"regs\": 16,\n \"parameters\": 0,\n \"total\": 40\n },\n \"always_blocks\": 2,\n \"assign_statements\": 34,\n \"instantiations\": [],\n \"code_complexity\": {\n \"lines_of_code\": 156,\n \"total_lines\": 168,\n \"cyclomatic_complexity\": 16,\n \"nesting_depth\": 14,\n \"operator_count\": 88\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "category": "multi_tool", "subcategory": "graph_extractor+static_analyzer", "difficulty": "compositional", "question_hash": "19d912f5c051", "stage1_target": "[{\"tool\": \"graph_extractor\", \"parameters\": {\"graph_type\": \"CDFG\"}}, {\"tool\": \"static_analyzer\", \"parameters\": {\"analysis_type\": \"full\"}}]", "stage2_context": "Question: For sirv_tl_repeater_5, how does the number of state-holding elements in the CDFG compare with the reg count from the source code, and is the control complexity of the code reflected in the multiplexers in that CDFG?\n\n[graph_extractor {\"graph_type\": \"CDFG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"CDFG\",\n...[34350 chars elided]...\n \"node_count\": 48,\n \"edge_count\": 451,\n \"graph_properties\": {\n \"node_types\": {\n \"$mux\": 9,\n \"$and\": 5,\n \"$not\": 2,\n \"$or\": 1,\n \"$adffe\": 8,\n \"$reduce_bool\": 1,\n \"port_input\": 12,\n \"port_output\": 10\n },\n \"avg_degree\": 9.4,\n \"module_name\": \"sirv_tl_repeater_5\"\n },\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"sirv_tl_repeater_5\",\n \"port_count\": {\n \"inputs\": 12,\n \"outputs\": 10,\n \"inouts\": 0,\n \"total\": 22\n },\n \"signal_count\": {\n \"wires\": 24,\n \"regs\": 16,\n \"parameters\": 0,\n \"total\": 40\n },\n \"always_blocks\": 2,\n \"assign_statements\": 34,\n \"instantiations\": [],\n \"code_complexity\": {\n \"lines_of_code\": 156,\n \"total_lines\": 168,\n \"cyclomatic_complexity\": 16,\n \"nesting_depth\": 14,\n \"operator_count\": 88\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "plan_id": "47910cc75291", "design_id": "77950bf6df3d", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/riscv-mcu/e203_hbirdv2", "commit": "9f3e34f337f5d0a1236a285871ffa2032491617a", "path": "rtl/e203/perips/sirv_tl_repeater_5.v", "sha256": "155959f1b8ed74c808339a03d1a30f253f328685650ba7cde07def693abb258f"}} {"question": "For spi_master_tx, does the control structure in its CDFG match how complex the source code looks? Please compare the multiplexer and register cell counts in the CDFG with the cyclomatic complexity and the number of always blocks in the source.", "answer": "The CDFG for spi_master_tx has 60 nodes. They include 20 $mux and 4 $pmux cells plus 3 $adffe and 1 $adff registers, which is a heavily mux-driven datapath. That matches the source code's cyclomatic complexity of 17 and nesting depth of 15 across 3 always blocks.", "source_file": "github_repos/riscv-mcu_e203_hbirdv2/rtl/e203/perips/apb_spi_master/spi_master_tx.v", "module_name": "spi_master_tx", "tool_name": "graph_extractor+static_analyzer", "tool_parameters": [{"graph_type": "CDFG"}, {"analysis_type": "full"}], "tool_result": "[graph_extractor {\"graph_type\": \"CDFG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"CDFG\",\n...[38188 chars elided]...\n \"node_count\": 60,\n \"edge_count\": 1462,\n \"graph_properties\": {\n \"node_types\": {\n \"$mux\": 20,\n \"$eq\": 3,\n \"$logic_and\": 4,\n \"$logic_not\": 1,\n \"$logic_or\": 1,\n \"$sub\": 1,\n \"$add\": 1,\n \"$adffe\": 3,\n \"$ne\": 2,\n \"$reduce_and\": 2,\n \"$adff\": 1,\n \"$pmux\": 4,\n \"$not\": 1,\n \"port_input\": 9,\n \"port_output\": 7\n },\n \"avg_degree\": 24.37,\n \"module_name\": \"spi_master_tx\"\n },\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"spi_master_tx\",\n \"port_count\": {\n \"inputs\": 9,\n \"outputs\": 7,\n \"inouts\": 0,\n \"total\": 16\n },\n \"signal_count\": {\n \"wires\": 16,\n \"regs\": 10,\n \"parameters\": 0,\n \"total\": 26\n },\n \"always_blocks\": 3,\n \"assign_statements\": 7,\n \"instantiations\": [],\n \"code_complexity\": {\n \"lines_of_code\": 100,\n \"total_lines\": 129,\n \"cyclomatic_complexity\": 17,\n \"nesting_depth\": 15,\n \"operator_count\": 103\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "category": "multi_tool", "subcategory": "graph_extractor+static_analyzer", "difficulty": "compositional", "question_hash": "a0631f024f38", "stage1_target": "[{\"tool\": \"graph_extractor\", \"parameters\": {\"graph_type\": \"CDFG\"}}, {\"tool\": \"static_analyzer\", \"parameters\": {\"analysis_type\": \"full\"}}]", "stage2_context": "Question: For spi_master_tx, does the control structure in its CDFG match how complex the source code looks? Please compare the multiplexer and register cell counts in the CDFG with the cyclomatic complexity and the number of always blocks in the source.\n\n[graph_extractor {\"graph_type\": \"CDFG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"CDFG\",\n...[38188 chars elided]...\n \"node_count\": 60,\n \"edge_count\": 1462,\n \"graph_properties\": {\n \"node_types\": {\n \"$mux\": 20,\n \"$eq\": 3,\n \"$logic_and\": 4,\n \"$logic_not\": 1,\n \"$logic_or\": 1,\n \"$sub\": 1,\n \"$add\": 1,\n \"$adffe\": 3,\n \"$ne\": 2,\n \"$reduce_and\": 2,\n \"$adff\": 1,\n \"$pmux\": 4,\n \"$not\": 1,\n \"port_input\": 9,\n \"port_output\": 7\n },\n \"avg_degree\": 24.37,\n \"module_name\": \"spi_master_tx\"\n },\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"spi_master_tx\",\n \"port_count\": {\n \"inputs\": 9,\n \"outputs\": 7,\n \"inouts\": 0,\n \"total\": 16\n },\n \"signal_count\": {\n \"wires\": 16,\n \"regs\": 10,\n \"parameters\": 0,\n \"total\": 26\n },\n \"always_blocks\": 3,\n \"assign_statements\": 7,\n \"instantiations\": [],\n \"code_complexity\": {\n \"lines_of_code\": 100,\n \"total_lines\": 129,\n \"cyclomatic_complexity\": 17,\n \"nesting_depth\": 15,\n \"operator_count\": 103\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "plan_id": "cc0ee2b69228", "design_id": "7c0fd732cc2e", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/riscv-mcu/e203_hbirdv2", "commit": "9f3e34f337f5d0a1236a285871ffa2032491617a", "path": "rtl/e203/perips/apb_spi_master/spi_master_tx.v", "sha256": "b8063cd98a9d1e4709adfb266d59e2e0d1a8a56ac64cfcb64e9ebcf04cea33f0"}} {"question": "For NV_NVDLA_CACC_CALC_int8, the CDFG shows how many multiplexers and adders the design contains. Given those counts, how realistic is the area-targeted optimization plan that relies on mux sharing and aggressive arithmetic sharing, and what estimated area change and trade-off does that plan come with?", "answer": "The CDFG for NV_NVDLA_CACC_CALC_int8 has 52 nodes, including 9 $mux and only 2 $add cells, so the 'muxcover; opt' mux-sharing step has the most to work on, while 'share -aggressive' can only merge the two adders. The area-targeted plan estimates a -15.0 area change with a 5.0 delay increase, and it warns that area optimization may increase delay.", "source_file": "github_repos/nvdla_hw/vmod/nvdla/cacc/NV_NVDLA_CACC_CALC_int8.v", "module_name": "NV_NVDLA_CACC_CALC_int8", "tool_name": "graph_extractor+optimization_advisor", "tool_parameters": [{"graph_type": "CDFG"}, {"target_metric": "area"}], "tool_result": "[graph_extractor {\"graph_type\": \"CDFG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"CDFG\",\n...[38026 chars elided]...\n \"node_count\": 52,\n \"edge_count\": 1412,\n \"graph_properties\": {\n \"node_types\": {\n \"$add\": 2,\n \"$xor\": 1,\n \"$mux\": 9,\n \"$sshr\": 1,\n \"$and\": 8,\n \"$not\": 3,\n \"$or\": 3,\n \"$reduce_and\": 2,\n \"$reduce_or\": 2,\n \"$dffe\": 3,\n \"$adffe\": 1,\n \"$adff\": 4,\n \"port_input\": 8,\n \"port_output\": 5\n },\n \"avg_degree\": 27.15,\n \"module_name\": \"NV_NVDLA_CACC_CALC_int8\"\n },\n \"error\": null\n}\n\n[optimization_advisor {\"target_metric\": \"area\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"area\",\n \"recommended_recipes\": [\n \"synth -top NV_NVDLA_CACC_CALC_int8 -flatten\",\n \"opt -full; share -aggressive; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean -purge\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"mux_optimization\",\n \"description\": \"Share multiplexers where possible\",\n \"command\": \"muxcover; opt\"\n },\n {\n \"type\": \"resource_sharing\",\n \"description\": \"Share arithmetic operators\",\n \"command\": \"share -aggressive\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": -15.0,\n \"delay\": 5.0,\n \"power\": -10.0\n },\n \"trade_offs\": [\n \"Area optimization may increase delay\",\n \"Aggressive sharing increases routing complexity\"\n ],\n \"error\": null\n}", "category": "multi_tool", "subcategory": "graph_extractor+optimization_advisor", "difficulty": "compositional", "question_hash": "ddc36c1620b2", "stage1_target": "[{\"tool\": \"graph_extractor\", \"parameters\": {\"graph_type\": \"CDFG\"}}, {\"tool\": \"optimization_advisor\", \"parameters\": {\"target_metric\": \"area\"}}]", "stage2_context": "Question: For NV_NVDLA_CACC_CALC_int8, the CDFG shows how many multiplexers and adders the design contains. Given those counts, how realistic is the area-targeted optimization plan that relies on mux sharing and aggressive arithmetic sharing, and what estimated area change and trade-off does that plan come with?\n\n[graph_extractor {\"graph_type\": \"CDFG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"CDFG\",\n...[38026 chars elided]...\n \"node_count\": 52,\n \"edge_count\": 1412,\n \"graph_properties\": {\n \"node_types\": {\n \"$add\": 2,\n \"$xor\": 1,\n \"$mux\": 9,\n \"$sshr\": 1,\n \"$and\": 8,\n \"$not\": 3,\n \"$or\": 3,\n \"$reduce_and\": 2,\n \"$reduce_or\": 2,\n \"$dffe\": 3,\n \"$adffe\": 1,\n \"$adff\": 4,\n \"port_input\": 8,\n \"port_output\": 5\n },\n \"avg_degree\": 27.15,\n \"module_name\": \"NV_NVDLA_CACC_CALC_int8\"\n },\n \"error\": null\n}\n\n[optimization_advisor {\"target_metric\": \"area\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"area\",\n \"recommended_recipes\": [\n \"synth -top NV_NVDLA_CACC_CALC_int8 -flatten\",\n \"opt -full; share -aggressive; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean -purge\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"mux_optimization\",\n \"description\": \"Share multiplexers where possible\",\n \"command\": \"muxcover; opt\"\n },\n {\n \"type\": \"resource_sharing\",\n \"description\": \"Share arithmetic operators\",\n \"command\": \"share -aggressive\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": -15.0,\n \"delay\": 5.0,\n \"power\": -10.0\n },\n \"trade_offs\": [\n \"Area optimization may increase delay\",\n \"Aggressive sharing increases routing complexity\"\n ],\n \"error\": null\n}", "plan_id": "42f905063f92", "design_id": "7f424919f842", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/nvdla/hw", "commit": "8e06b1b9d85aab65b40d43d08eec5ea4681ff715", "path": "vmod/nvdla/cacc/NV_NVDLA_CACC_CALC_int8.v", "sha256": "2f7102971bc0bd83ef7146bdf33baff76e055bc09490ed6c4f55d405f0006c00"}} {"question": "For NV_NVDLA_partition_p, how well do the RTL signals line up with the netlist after a medium-effort synthesis run, and which signals fail to map? Given what the synthesized netlist contains, can those missing signals be explained?", "answer": "Medium-effort synthesis of NV_NVDLA_partition_p gives 5 cells, all hierarchical submodule instances (NV_NVDLA_sdp, NV_NVDLA_reset, NV_NVDLA_sync3d, NV_NVDLA_sync3d_s and NV_NVDLA_RT_cmac_a2cacc), plus 116 wires carrying 9706 bits, with an estimated delay of 81.03. RTL-to-netlist mapping matches 116 of 118 RTL signals for an alignment score of 98.31. The only unmapped signals are larstn and la_r_clk, which are consistent with unused or optimized-away inputs, since the netlist wire count of 116 equals the number of mapped signals.", "source_file": "github_repos/nvdla_hw/vmod/nvdla/top/NV_NVDLA_partition_p.v", "module_name": "NV_NVDLA_partition_p", "tool_name": "cross_stage_mapper+synthesis_tool", "tool_parameters": [{}, {"optimization_level": "medium"}], "tool_result": "[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"sdp_n2mcif_rd_req_valid\": [\n \"sdp_n2mcif_rd_req_valid\"\n ],\n \"sdp_n2cvif_rd_req_pd\": [\n \"sdp_n2cvif_rd_req_pd\"\n ],\n \"mac_a2accu_dst_data1\": [\n \"mac_a2accu_dst_data1\"\n ],\n \"nvdla_core_clk\": [\n \"nvdla_core_clk\"\n ],\n \"sdp2pdp_pd\": [\n \"sdp2pdp_pd\"\n ],\n \"larstn\": [],\n \"mac_a2accu_dst_pvld\": [\n \"mac_a2accu_dst_pvld\"\n \n...[6823 chars elided]...\ny\"\n ],\n \"sdp2mcif_wr_req_valid\": [\n \"sdp2mcif_wr_req_valid\"\n ],\n \"mac_a2accu_src_data4\": [\n \"mac_a2accu_src_data4\"\n ],\n \"sdp2mcif_rd_req_ready\": [\n \"sdp2mcif_rd_req_ready\"\n ],\n \"mac_a2accu_src_data1\": [\n \"mac_a2accu_src_data1\"\n ],\n \"mac_a2accu_src_data0\": [\n \"mac_a2accu_src_data0\"\n ],\n \"mac_a2accu_dst_data5\": [\n \"mac_a2accu_dst_data5\"\n ],\n \"sdp2cvif_wr_req_ready\": [\n \"sdp2cvif_wr_req_ready\"\n ],\n \"csb2sdp_req_pvld\": [\n \"csb2sdp_req_pvld\"\n ],\n \"sdp_e2cvif_rd_req_valid\": [\n \"sdp_e2cvif_rd_req_valid\"\n ]\n },\n \"alignment_score\": 98.31,\n \"unmapped_elements\": [\n \"larstn\",\n \"la_r_clk\"\n ],\n \"mapping_statistics\": {\n \"rtl_signals\": 118,\n \"netlist_wires\": 116,\n \"netlist_cells\": 0,\n \"mapped_signals\": 116,\n \"unmapped_signals\": 2\n },\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 5.0,\n \"delay\": 81.03,\n \"power\": 0.005,\n \"gate_count\": 5,\n \"cell_breakdown\": {\n \"NV_NVDLA_RT_cmac_a2cacc\": 1,\n \"NV_NVDLA_reset\": 1,\n \"NV_NVDLA_sdp\": 1,\n \"NV_NVDLA_sync3d\": 1,\n \"NV_NVDLA_sync3d_s\": 1\n },\n \"wire_count\": 116,\n \"wire_bits\": 9706,\n \"critical_path_estimate\": 81.03,\n...[1209 chars elided]...\n \"error\": null\n}", "category": "multi_tool", "subcategory": "cross_stage_mapper+synthesis_tool", "difficulty": "compositional", "question_hash": "385190ab7542", "stage1_target": "[{\"tool\": \"cross_stage_mapper\", \"parameters\": {}}, {\"tool\": \"synthesis_tool\", \"parameters\": {\"optimization_level\": \"medium\"}}]", "stage2_context": "Question: For NV_NVDLA_partition_p, how well do the RTL signals line up with the netlist after a medium-effort synthesis run, and which signals fail to map? Given what the synthesized netlist contains, can those missing signals be explained?\n\n[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"sdp_n2mcif_rd_req_valid\": [\n \"sdp_n2mcif_rd_req_valid\"\n ],\n \"sdp_n2cvif_rd_req_pd\": [\n \"sdp_n2cvif_rd_req_pd\"\n ],\n \"mac_a2accu_dst_data1\": [\n \"mac_a2accu_dst_data1\"\n ],\n \"nvdla_core_clk\": [\n \"nvdla_core_clk\"\n ],\n \"sdp2pdp_pd\": [\n \"sdp2pdp_pd\"\n ],\n \"larstn\": [],\n \"mac_a2accu_dst_pvld\": [\n \"mac_a2accu_dst_pvld\"\n \n...[6823 chars elided]...\ny\"\n ],\n \"sdp2mcif_wr_req_valid\": [\n \"sdp2mcif_wr_req_valid\"\n ],\n \"mac_a2accu_src_data4\": [\n \"mac_a2accu_src_data4\"\n ],\n \"sdp2mcif_rd_req_ready\": [\n \"sdp2mcif_rd_req_ready\"\n ],\n \"mac_a2accu_src_data1\": [\n \"mac_a2accu_src_data1\"\n ],\n \"mac_a2accu_src_data0\": [\n \"mac_a2accu_src_data0\"\n ],\n \"mac_a2accu_dst_data5\": [\n \"mac_a2accu_dst_data5\"\n ],\n \"sdp2cvif_wr_req_ready\": [\n \"sdp2cvif_wr_req_ready\"\n ],\n \"csb2sdp_req_pvld\": [\n \"csb2sdp_req_pvld\"\n ],\n \"sdp_e2cvif_rd_req_valid\": [\n \"sdp_e2cvif_rd_req_valid\"\n ]\n },\n \"alignment_score\": 98.31,\n \"unmapped_elements\": [\n \"larstn\",\n \"la_r_clk\"\n ],\n \"mapping_statistics\": {\n \"rtl_signals\": 118,\n \"netlist_wires\": 116,\n \"netlist_cells\": 0,\n \"mapped_signals\": 116,\n \"unmapped_signals\": 2\n },\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 5.0,\n \"delay\": 81.03,\n \"power\": 0.005,\n \"gate_count\": 5,\n \"cell_breakdown\": {\n \"NV_NVDLA_RT_cmac_a2cacc\": 1,\n \"NV_NVDLA_reset\": 1,\n \"NV_NVDLA_sdp\": 1,\n \"NV_NVDLA_sync3d\": 1,\n \"NV_NVDLA_sync3d_s\": 1\n },\n \"wire_count\": 116,\n \"wire_bits\": 9706,\n \"critical_path_estimate\": 81.03,\n...[1209 chars elided]...\n \"error\": null\n}", "plan_id": "21dc9750f1e5", "design_id": "7fec23be12bf", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/nvdla/hw", "commit": "8e06b1b9d85aab65b40d43d08eec5ea4681ff715", "path": "vmod/nvdla/top/NV_NVDLA_partition_p.v", "sha256": "c4f90c34ea6d25557c90c8ccfbeb069ff400904265cbaa996f0b0468bb45e24a"}} {"question": "For servde1_soc_revF_clock_gen, the AIG has 9 sync-reset flip-flops ($_SDFF_PN1_) and one altpll instance. If I follow the delay-targeted optimization recommendation, including the fanout-reducing logic duplication step, what delay gain and area/power cost should I expect, and how big is the AND/NOT logic it would be working on?", "answer": "The AIG of servde1_soc_revF_clock_gen has 85 nodes and 219 edges, with 30 $_AND_ and 40 $_NOT_ gates plus 9 $_SDFF_PN1_ and 1 $_DFF_P_ flip-flops around a single altpll. The delay-targeted recipe, which adds the 'splitnets -driver' logic-duplication step, is estimated to change delay by -20.0 while area goes up by 10.0 and power by 5.0. In other words, it trades extra area and power for speed on a fairly small amount of glue logic.", "source_file": "github_repos/olofk_serv/servant/servde1_soc_revF_clock_gen.v", "module_name": "servde1_soc_revF_clock_gen", "tool_name": "graph_extractor+optimization_advisor", "tool_parameters": [{"graph_type": "AIG"}, {"target_metric": "delay"}], "tool_result": "[graph_extractor {\"graph_type\": \"AIG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"AIG\",\n...[31489 chars elided]...\n \"node_count\": 85,\n \"edge_count\": 219,\n \"graph_properties\": {\n \"node_types\": {\n \"$_AND_\": 30,\n \"$_NOT_\": 40,\n \"$_SDFF_PN1_\": 9,\n \"$_DFF_P_\": 1,\n \"altpll\": 1,\n \"port_input\": 2,\n \"port_output\": 2\n },\n \"avg_degree\": 2.58,\n \"module_name\": \"servde1_soc_revF_clock_gen\"\n },\n \"error\": null\n}\n\n[optimization_advisor {\"target_metric\": \"delay\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"delay\",\n \"recommended_recipes\": [\n \"synth -top servde1_soc_revF_clock_gen\",\n \"opt -fast\",\n \"abc -fast -liberty stdcells.lib\",\n \"opt_clean\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"logic_duplication\",\n \"description\": \"Duplicate logic to reduce fanout\",\n \"command\": \"splitnets -driver\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": 10.0,\n \"delay\": -20.0,\n \"power\": 5.0\n },\n \"trade_offs\": [\n \"Speed optimization increases area\",\n \"Higher power consumption\"\n ],\n \"error\": null\n}", "category": "multi_tool", "subcategory": "graph_extractor+optimization_advisor", "difficulty": "compositional", "question_hash": "b57269eb91a3", "stage1_target": "[{\"tool\": \"graph_extractor\", \"parameters\": {\"graph_type\": \"AIG\"}}, {\"tool\": \"optimization_advisor\", \"parameters\": {\"target_metric\": \"delay\"}}]", "stage2_context": "Question: For servde1_soc_revF_clock_gen, the AIG has 9 sync-reset flip-flops ($_SDFF_PN1_) and one altpll instance. If I follow the delay-targeted optimization recommendation, including the fanout-reducing logic duplication step, what delay gain and area/power cost should I expect, and how big is the AND/NOT logic it would be working on?\n\n[graph_extractor {\"graph_type\": \"AIG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"AIG\",\n...[31489 chars elided]...\n \"node_count\": 85,\n \"edge_count\": 219,\n \"graph_properties\": {\n \"node_types\": {\n \"$_AND_\": 30,\n \"$_NOT_\": 40,\n \"$_SDFF_PN1_\": 9,\n \"$_DFF_P_\": 1,\n \"altpll\": 1,\n \"port_input\": 2,\n \"port_output\": 2\n },\n \"avg_degree\": 2.58,\n \"module_name\": \"servde1_soc_revF_clock_gen\"\n },\n \"error\": null\n}\n\n[optimization_advisor {\"target_metric\": \"delay\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"delay\",\n \"recommended_recipes\": [\n \"synth -top servde1_soc_revF_clock_gen\",\n \"opt -fast\",\n \"abc -fast -liberty stdcells.lib\",\n \"opt_clean\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"logic_duplication\",\n \"description\": \"Duplicate logic to reduce fanout\",\n \"command\": \"splitnets -driver\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": 10.0,\n \"delay\": -20.0,\n \"power\": 5.0\n },\n \"trade_offs\": [\n \"Speed optimization increases area\",\n \"Higher power consumption\"\n ],\n \"error\": null\n}", "plan_id": "7265413e00a6", "design_id": "803f75f0dd47", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/olofk/serv", "commit": "f200eb2ed7b69ac1c6b8eddd47654522aeee5ce8", "path": "servant/servde1_soc_revF_clock_gen.v", "sha256": "0f3358efb4652ec165171ee2e56d2931f7467c793189d2644f801594dabcee4b"}} {"question": "For NV_NVDLA_SDP_RDMA_REG_single, does the CDFG's small set of operation nodes line up with the source-level structure? Specifically, how many total nodes and edges does the CDFG have, and how many enabled async-reset flops and pmux cells does it contain? Compare that with the number of always blocks and the cyclomatic complexity from the code analysis.", "answer": "The CDFG for NV_NVDLA_SDP_RDMA_REG_single has only 15 nodes and 176 edges, including 1 $adffe register and 1 $pmux. The source analysis, by contrast, counts 3 always blocks, a cyclomatic complexity of 17 and 8 regs, which means the module's branching register-decode logic is folded into a single wide multiplexer feeding one enabled flop.", "source_file": "github_repos/nvdla_hw/vmod/nvdla/sdp/NV_NVDLA_SDP_RDMA_REG_single.v", "module_name": "NV_NVDLA_SDP_RDMA_REG_single", "tool_name": "graph_extractor+static_analyzer", "tool_parameters": [{"graph_type": "CDFG"}, {"analysis_type": "full"}], "tool_result": "[graph_extractor {\"graph_type\": \"CDFG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"CDFG\",\n...[18249 chars elided]...\n \"node_count\": 15,\n \"edge_count\": 176,\n \"graph_properties\": {\n \"node_types\": {\n \"$and\": 1,\n \"$adffe\": 1,\n \"$pmux\": 1,\n \"$logic_not\": 1,\n \"$eq\": 1,\n \"port_output\": 2,\n \"port_input\": 8\n },\n \"avg_degree\": 11.73,\n \"module_name\": \"NV_NVDLA_SDP_RDMA_REG_single\"\n },\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"NV_NVDLA_SDP_RDMA_REG_single\",\n \"port_count\": {\n \"inputs\": 8,\n \"outputs\": 2,\n \"inouts\": 0,\n \"total\": 10\n },\n \"signal_count\": {\n \"wires\": 6,\n \"regs\": 8,\n \"parameters\": 0,\n \"total\": 14\n },\n \"always_blocks\": 3,\n \"assign_statements\": 4,\n \"instantiations\": [\n \"producer\",\n \"Unknown\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 86,\n \"total_lines\": 147,\n \"cyclomatic_complexity\": 17,\n \"nesting_depth\": 14,\n \"operator_count\": 254\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "category": "multi_tool", "subcategory": "graph_extractor+static_analyzer", "difficulty": "compositional", "question_hash": "da0745a295f8", "stage1_target": "[{\"tool\": \"graph_extractor\", \"parameters\": {\"graph_type\": \"CDFG\"}}, {\"tool\": \"static_analyzer\", \"parameters\": {\"analysis_type\": \"full\"}}]", "stage2_context": "Question: For NV_NVDLA_SDP_RDMA_REG_single, does the CDFG's small set of operation nodes line up with the source-level structure? Specifically, how many total nodes and edges does the CDFG have, and how many enabled async-reset flops and pmux cells does it contain? Compare that with the number of always blocks and the cyclomatic complexity from the code analysis.\n\n[graph_extractor {\"graph_type\": \"CDFG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"CDFG\",\n...[18249 chars elided]...\n \"node_count\": 15,\n \"edge_count\": 176,\n \"graph_properties\": {\n \"node_types\": {\n \"$and\": 1,\n \"$adffe\": 1,\n \"$pmux\": 1,\n \"$logic_not\": 1,\n \"$eq\": 1,\n \"port_output\": 2,\n \"port_input\": 8\n },\n \"avg_degree\": 11.73,\n \"module_name\": \"NV_NVDLA_SDP_RDMA_REG_single\"\n },\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"NV_NVDLA_SDP_RDMA_REG_single\",\n \"port_count\": {\n \"inputs\": 8,\n \"outputs\": 2,\n \"inouts\": 0,\n \"total\": 10\n },\n \"signal_count\": {\n \"wires\": 6,\n \"regs\": 8,\n \"parameters\": 0,\n \"total\": 14\n },\n \"always_blocks\": 3,\n \"assign_statements\": 4,\n \"instantiations\": [\n \"producer\",\n \"Unknown\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 86,\n \"total_lines\": 147,\n \"cyclomatic_complexity\": 17,\n \"nesting_depth\": 14,\n \"operator_count\": 254\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "plan_id": "383fb5114ac5", "design_id": "812c3d7e907c", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/nvdla/hw", "commit": "8e06b1b9d85aab65b40d43d08eec5ea4681ff715", "path": "vmod/nvdla/sdp/NV_NVDLA_SDP_RDMA_REG_single.v", "sha256": "47923cc47149e7a7d6f67699d6ec2ab0b99d6e5469dcad1f97be4f01585a399c"}} {"question": "The gcd module looks like an already-mapped sky130 gate-level netlist. Based on its structure (port count, wire count, and whether it has any behavioral always blocks), what do you get when you re-synthesize it at medium optimization, in terms of gate count, area, delay and power?", "answer": "The gcd module is a flat structural netlist: it has 5 inputs, 3 outputs, 236 wires, 0 always blocks and 0 assign statements, and it instantiates sky130 cells such as sky130_fd_sc_hd__dfxtp_1 flip-flops. Re-synthesizing it at medium optimization gives 287 gates, an area of 287.0, a delay of 273.11 and a power of 0.287.", "source_file": "github_repos/The-OpenROAD-Project_OpenROAD/src/pdn/test/sky130_power_switch/netlist.v", "module_name": "gcd", "tool_name": "static_analyzer+synthesis_tool", "tool_parameters": [{"analysis_type": "full"}, {"optimization_level": "medium"}], "tool_result": "[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"gcd\",\n \"port_count\": {\n \"inputs\": 5,\n \"outputs\": 3,\n \"inouts\": 0,\n \"total\": 8\n },\n \"signal_count\": {\n \"wires\": 236,\n \"regs\": 0,\n \"parameters\": 0,\n \"total\": 236\n },\n \"always_blocks\": 0,\n \"assign_statements\": 0,\n \"instantiations\": [\n \"sky130_fd_sc_hd__o311ai_4\",\n \"sky130_fd_sc_hd__inv_1\",\n \"sky130_fd_sc_hd__nand2_4\",\n \"sky130_fd_sc_hd__o21ai_0\",\n \"sky130_fd_sc_hd__nor3_2\",\n \"sky130_fd_sc_hd__a32o_1\",\n \"sky130_fd_sc_hd__a221o_1\",\n \"sky130_fd_sc_hd__nand2_1\",\n \"sky130_fd_sc_hd__nor4_1\",\n \"sky130_fd_sc_hd__dfxtp_1\",\n \"sky130_fd_sc_hd__nand4_1\",\n \"sky130_fd_sc_hd__and2_1\",\n \"sky130_fd_sc_hd__a31oi_4\",\n \"sky130_fd_sc_hd__a311oi_2\",\n \"sky130_fd_sc_hd__and4_1\",\n \"sky130_fd_sc_hd__or3_1\",\n \"sky130_fd_sc_hd__and2b_1\",\n \"sky130_fd_sc_hd__o311ai_1\",\n \"sky130_fd_sc_hd__nor4_2\",\n \"sky130_fd_sc_hd__o22ai_1\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 1335,\n \"total_lines\": 1338,\n \"cyclomatic_complexity\": 1,\n \"nesting_depth\": 0,\n \"operator_count\": 0\n },\n \"lint_warnings\": [],\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 287.0,\n \"delay\": 273.11,\n \"power\": 0.287,\n \"gate_count\": 287,\n \"cell_breakdown\": {\n \"sky130_fd_sc_hd__a211oi_1\": 3,\n \"sky130_fd_sc_hd__a21o_1\": 3,\n \"sky130_fd_sc_hd__a21oi_1\": 17,\n \"sky130_fd_sc_hd__a21oi_4\": 1,\n \"sky130_fd_sc_hd__a221o_1\": 4,\n \"sky130_fd_sc_hd__a221oi_1\": 2,\n \"sky130_fd_sc_hd__a22oi_1\": 11,\n \"sky130_fd_sc_hd__a2bb2oi_1\": 1,\n \"sky130_fd_sc_hd__a311o_1\n...[2785 chars elided]...\n \"error\": null\n}", "category": "multi_tool", "subcategory": "static_analyzer+synthesis_tool", "difficulty": "compositional", "question_hash": "8fad0b088c0f", "stage1_target": "[{\"tool\": \"static_analyzer\", \"parameters\": {\"analysis_type\": \"full\"}}, {\"tool\": \"synthesis_tool\", \"parameters\": {\"optimization_level\": \"medium\"}}]", "stage2_context": "Question: The gcd module looks like an already-mapped sky130 gate-level netlist. Based on its structure (port count, wire count, and whether it has any behavioral always blocks), what do you get when you re-synthesize it at medium optimization, in terms of gate count, area, delay and power?\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"gcd\",\n \"port_count\": {\n \"inputs\": 5,\n \"outputs\": 3,\n \"inouts\": 0,\n \"total\": 8\n },\n \"signal_count\": {\n \"wires\": 236,\n \"regs\": 0,\n \"parameters\": 0,\n \"total\": 236\n },\n \"always_blocks\": 0,\n \"assign_statements\": 0,\n \"instantiations\": [\n \"sky130_fd_sc_hd__o311ai_4\",\n \"sky130_fd_sc_hd__inv_1\",\n \"sky130_fd_sc_hd__nand2_4\",\n \"sky130_fd_sc_hd__o21ai_0\",\n \"sky130_fd_sc_hd__nor3_2\",\n \"sky130_fd_sc_hd__a32o_1\",\n \"sky130_fd_sc_hd__a221o_1\",\n \"sky130_fd_sc_hd__nand2_1\",\n \"sky130_fd_sc_hd__nor4_1\",\n \"sky130_fd_sc_hd__dfxtp_1\",\n \"sky130_fd_sc_hd__nand4_1\",\n \"sky130_fd_sc_hd__and2_1\",\n \"sky130_fd_sc_hd__a31oi_4\",\n \"sky130_fd_sc_hd__a311oi_2\",\n \"sky130_fd_sc_hd__and4_1\",\n \"sky130_fd_sc_hd__or3_1\",\n \"sky130_fd_sc_hd__and2b_1\",\n \"sky130_fd_sc_hd__o311ai_1\",\n \"sky130_fd_sc_hd__nor4_2\",\n \"sky130_fd_sc_hd__o22ai_1\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 1335,\n \"total_lines\": 1338,\n \"cyclomatic_complexity\": 1,\n \"nesting_depth\": 0,\n \"operator_count\": 0\n },\n \"lint_warnings\": [],\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 287.0,\n \"delay\": 273.11,\n \"power\": 0.287,\n \"gate_count\": 287,\n \"cell_breakdown\": {\n \"sky130_fd_sc_hd__a211oi_1\": 3,\n \"sky130_fd_sc_hd__a21o_1\": 3,\n \"sky130_fd_sc_hd__a21oi_1\": 17,\n \"sky130_fd_sc_hd__a21oi_4\": 1,\n \"sky130_fd_sc_hd__a221o_1\": 4,\n \"sky130_fd_sc_hd__a221oi_1\": 2,\n \"sky130_fd_sc_hd__a22oi_1\": 11,\n \"sky130_fd_sc_hd__a2bb2oi_1\": 1,\n \"sky130_fd_sc_hd__a311o_1\n...[2785 chars elided]...\n \"error\": null\n}", "plan_id": "75c07a646314", "design_id": "83ca75b1f1a9", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/The-OpenROAD-Project/OpenROAD", "commit": "3e3e483a4e3f98e2b5470b272040699de6dedbee", "path": "src/pdn/test/sky130_power_switch/netlist.v", "sha256": "79cb392ed43bf1d94f0074876f4c0671bc1be94c719c7d4717a63e5d02b5e746"}} {"question": "For service_clock_gen, the source code has one always block and two assign statements. Does the medium-effort synthesized netlist match that structure, given how many cells it has, what type they are, and its area and critical-path delay?", "answer": "service_clock_gen has 1 always block, 2 assign statements and a cyclomatic complexity of 3. It synthesizes to just 5 cells, all of type $_DFF_P_ in one clock domain, with an area of 20.0 and a critical-path delay of 243.1. So the synthesized design is entirely flip-flops with no combinational gates: the assign logic is either plain wiring or was absorbed during optimization.", "source_file": "github_repos/olofk_serv/servant/service_clock_gen.v", "module_name": "service_clock_gen", "tool_name": "static_analyzer+synthesis_tool", "tool_parameters": [{"analysis_type": "full"}, {"optimization_level": "medium"}], "tool_result": "[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"service_clock_gen\",\n \"port_count\": {\n \"inputs\": 1,\n \"outputs\": 2,\n \"inouts\": 0,\n \"total\": 3\n },\n \"signal_count\": {\n \"wires\": 3,\n \"regs\": 1,\n \"parameters\": 0,\n \"total\": 4\n },\n \"always_blocks\": 1,\n \"assign_statements\": 2,\n \"instantiations\": [\n \"generate\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 22,\n \"total_lines\": 27,\n \"cyclomatic_complexity\": 3,\n \"nesting_depth\": 2,\n \"operator_count\": 12\n },\n \"lint_warnings\": [],\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 20.0,\n \"delay\": 243.1,\n \"power\": 0.005,\n \"gate_count\": 5,\n \"cell_breakdown\": {\n \"$_DFF_P_\": 5\n },\n \"wire_count\": 4,\n \"wire_bits\": 8,\n \"critical_path_estimate\": 243.1,\n...[1076 chars elided]...\n \"error\": null\n}", "category": "multi_tool", "subcategory": "static_analyzer+synthesis_tool", "difficulty": "compositional", "question_hash": "0d8354316fe0", "stage1_target": "[{\"tool\": \"static_analyzer\", \"parameters\": {\"analysis_type\": \"full\"}}, {\"tool\": \"synthesis_tool\", \"parameters\": {\"optimization_level\": \"medium\"}}]", "stage2_context": "Question: For service_clock_gen, the source code has one always block and two assign statements. Does the medium-effort synthesized netlist match that structure, given how many cells it has, what type they are, and its area and critical-path delay?\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"service_clock_gen\",\n \"port_count\": {\n \"inputs\": 1,\n \"outputs\": 2,\n \"inouts\": 0,\n \"total\": 3\n },\n \"signal_count\": {\n \"wires\": 3,\n \"regs\": 1,\n \"parameters\": 0,\n \"total\": 4\n },\n \"always_blocks\": 1,\n \"assign_statements\": 2,\n \"instantiations\": [\n \"generate\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 22,\n \"total_lines\": 27,\n \"cyclomatic_complexity\": 3,\n \"nesting_depth\": 2,\n \"operator_count\": 12\n },\n \"lint_warnings\": [],\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 20.0,\n \"delay\": 243.1,\n \"power\": 0.005,\n \"gate_count\": 5,\n \"cell_breakdown\": {\n \"$_DFF_P_\": 5\n },\n \"wire_count\": 4,\n \"wire_bits\": 8,\n \"critical_path_estimate\": 243.1,\n...[1076 chars elided]...\n \"error\": null\n}", "plan_id": "9fe227f486f5", "design_id": "84b5e6ee854f", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/olofk/serv", "commit": "f200eb2ed7b69ac1c6b8eddd47654522aeee5ce8", "path": "servant/service_clock_gen.v", "sha256": "ae338b7c1cc8bf4b6cedf6d057ab4ab38964546385b03a28d8e0a56db4cdfb8f"}} {"question": "For the sirv_queue_1 module, how does its source-level structure, including always blocks, register count and cyclomatic complexity, compare with the synthesized netlist at medium optimization in terms of flip-flops, total gate count, area and critical-path delay?", "answer": "At the source level, sirv_queue_1 has 4 always blocks, 8 regs and a cyclomatic complexity of 12. At medium optimization it synthesizes to 53 gates, including 7 $_DFFE_PP0P_ flip-flops plus one $memrd and one $memwr_v2 memory cell, with an area of 64.0 and a critical-path delay of 173.85.", "source_file": "github_repos/riscv-mcu_e203_hbirdv2/rtl/e203/perips/sirv_queue_1.v", "module_name": "sirv_queue_1", "tool_name": "static_analyzer+synthesis_tool", "tool_parameters": [{"analysis_type": "full"}, {"optimization_level": "medium"}], "tool_result": "[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"sirv_queue_1\",\n \"port_count\": {\n \"inputs\": 5,\n \"outputs\": 4,\n \"inouts\": 0,\n \"total\": 9\n },\n \"signal_count\": {\n \"wires\": 28,\n \"regs\": 8,\n \"parameters\": 0,\n \"total\": 36\n },\n \"always_blocks\": 4,\n \"assign_statements\": 32,\n \"instantiations\": [\n \"reset\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 121,\n \"total_lines\": 133,\n \"cyclomatic_complexity\": 12,\n \"nesting_depth\": 11,\n \"operator_count\": 76\n },\n \"lint_warnings\": [],\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 64.0,\n \"delay\": 173.85,\n \"power\": 0.053,\n \"gate_count\": 53,\n \"cell_breakdown\": {\n \"$_ANDNOT_\": 3,\n \"$_AND_\": 14,\n \"$_DFFE_PP0P_\": 7,\n \"$_NAND_\": 5,\n \"$_NOR_\": 1,\n \"$_NOT_\": 7,\n \"$_OR_\": 1,\n \"$_XNOR_\": 5,\n \"$_XOR_\": 8,\n \"$memrd\": 1,\n \"$memwr_v2\": 1\n },\n \"wire_count\": 52,\n \"wire_bits\": 128,\n \"critical_path_estimate\": 173.85,\n...[1306 chars elided]...\n \"error\": null\n}", "category": "multi_tool", "subcategory": "static_analyzer+synthesis_tool", "difficulty": "compositional", "question_hash": "5e5962d06558", "stage1_target": "[{\"tool\": \"static_analyzer\", \"parameters\": {\"analysis_type\": \"full\"}}, {\"tool\": \"synthesis_tool\", \"parameters\": {\"optimization_level\": \"medium\"}}]", "stage2_context": "Question: For the sirv_queue_1 module, how does its source-level structure, including always blocks, register count and cyclomatic complexity, compare with the synthesized netlist at medium optimization in terms of flip-flops, total gate count, area and critical-path delay?\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"sirv_queue_1\",\n \"port_count\": {\n \"inputs\": 5,\n \"outputs\": 4,\n \"inouts\": 0,\n \"total\": 9\n },\n \"signal_count\": {\n \"wires\": 28,\n \"regs\": 8,\n \"parameters\": 0,\n \"total\": 36\n },\n \"always_blocks\": 4,\n \"assign_statements\": 32,\n \"instantiations\": [\n \"reset\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 121,\n \"total_lines\": 133,\n \"cyclomatic_complexity\": 12,\n \"nesting_depth\": 11,\n \"operator_count\": 76\n },\n \"lint_warnings\": [],\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 64.0,\n \"delay\": 173.85,\n \"power\": 0.053,\n \"gate_count\": 53,\n \"cell_breakdown\": {\n \"$_ANDNOT_\": 3,\n \"$_AND_\": 14,\n \"$_DFFE_PP0P_\": 7,\n \"$_NAND_\": 5,\n \"$_NOR_\": 1,\n \"$_NOT_\": 7,\n \"$_OR_\": 1,\n \"$_XNOR_\": 5,\n \"$_XOR_\": 8,\n \"$memrd\": 1,\n \"$memwr_v2\": 1\n },\n \"wire_count\": 52,\n \"wire_bits\": 128,\n \"critical_path_estimate\": 173.85,\n...[1306 chars elided]...\n \"error\": null\n}", "plan_id": "79f046eee91c", "design_id": "87b166181a6c", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/riscv-mcu/e203_hbirdv2", "commit": "9f3e34f337f5d0a1236a285871ffa2032491617a", "path": "rtl/e203/perips/sirv_queue_1.v", "sha256": "18c323d0b78c5fe6bc3d8e40a4faa8afa107a57d5f1e7a19f7c821442d1bd95b"}} {"question": "For NV_NVDLA_partition_m, the RTL declares 288 ports but only 3 internal wires and no always blocks. How well do its RTL signals line up with the netlist, and do the signals that fail to map make sense given the submodules it instantiates?", "answer": "NV_NVDLA_partition_m is a purely structural wrapper with 273 inputs, 15 outputs, 0 always blocks and 0 assign statements. It instantiates NV_NVDLA_cmac, NV_NVDLA_sync3d_s, NV_NVDLA_reset and NV_NVDLA_sync3d. Its RTL-to-netlist alignment score is 99.31, with 289 of 291 RTL signals mapped, and the only 2 unmapped signals are larstn and la_r_clk, which are plausibly local reset and clock nets absorbed into the reset and sync submodule hierarchy.", "source_file": "github_repos/nvdla_hw/vmod/nvdla/top/NV_NVDLA_partition_m.v", "module_name": "NV_NVDLA_partition_m", "tool_name": "cross_stage_mapper+static_analyzer", "tool_parameters": [{}, {"analysis_type": "full"}], "tool_result": "[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"sc2mac_dat_data46\": [\n \"sc2mac_dat_data46\"\n ],\n \"sc2mac_dat_data115\": [\n \"sc2mac_dat_data115\"\n ],\n \"sc2mac_wt_data127\": [\n \"sc2mac_wt_data127\"\n ],\n \"sc2mac_wt_data19\": [\n \"sc2mac_wt_data19\"\n ],\n \"sc2mac_wt_data89\": [\n \"sc2mac_wt_data89\"\n ],\n \"sc2mac_dat_data73\": [\n \"sc2mac_dat_data73\"\n ],\n \"larstn\": [],\n \"\n...[18721 chars elided]...\nask\": [\n \"sc2mac_dat_mask\"\n ],\n \"sc2mac_dat_data119\": [\n \"sc2mac_dat_data119\"\n ],\n \"sc2mac_wt_data8\": [\n \"sc2mac_wt_data89\",\n \"sc2mac_wt_data88\",\n \"sc2mac_wt_data81\",\n \"sc2mac_wt_data86\",\n \"sc2mac_wt_data84\"\n ],\n \"sc2mac_wt_data23\": [\n \"sc2mac_wt_data23\"\n ],\n \"sc2mac_dat_data70\": [\n \"sc2mac_dat_data70\"\n ],\n \"sc2mac_wt_data79\": [\n \"sc2mac_wt_data79\"\n ],\n \"mac2accu_data4\": [\n \"mac2accu_data4\"\n ],\n \"sc2mac_wt_data46\": [\n \"sc2mac_wt_data46\"\n ],\n \"sc2mac_wt_data84\": [\n \"sc2mac_wt_data84\"\n ]\n },\n \"alignment_score\": 99.31,\n \"unmapped_elements\": [\n \"larstn\",\n \"la_r_clk\"\n ],\n \"mapping_statistics\": {\n \"rtl_signals\": 291,\n \"netlist_wires\": 289,\n \"netlist_cells\": 0,\n \"mapped_signals\": 289,\n \"unmapped_signals\": 2\n },\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"NV_NVDLA_partition_m\",\n \"port_count\": {\n \"inputs\": 273,\n \"outputs\": 15,\n \"inouts\": 0,\n \"total\": 288\n },\n \"signal_count\": {\n \"wires\": 3,\n \"regs\": 0,\n \"parameters\": 0,\n \"total\": 3\n },\n \"always_blocks\": 0,\n \"assign_statements\": 0,\n \"instantiations\": [\n \"NV_NVDLA_cmac\",\n \"NV_NVDLA_sync3d_s\",\n \"NV_NVDLA_reset\",\n \"NV_NVDLA_sync3d\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 882,\n \"total_lines\": 938,\n \"cyclomatic_complexity\": 2,\n \"nesting_depth\": 0,\n \"operator_count\": 3269\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "category": "multi_tool", "subcategory": "cross_stage_mapper+static_analyzer", "difficulty": "compositional", "question_hash": "6b1de3e3af75", "stage1_target": "[{\"tool\": \"cross_stage_mapper\", \"parameters\": {}}, {\"tool\": \"static_analyzer\", \"parameters\": {\"analysis_type\": \"full\"}}]", "stage2_context": "Question: For NV_NVDLA_partition_m, the RTL declares 288 ports but only 3 internal wires and no always blocks. How well do its RTL signals line up with the netlist, and do the signals that fail to map make sense given the submodules it instantiates?\n\n[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"sc2mac_dat_data46\": [\n \"sc2mac_dat_data46\"\n ],\n \"sc2mac_dat_data115\": [\n \"sc2mac_dat_data115\"\n ],\n \"sc2mac_wt_data127\": [\n \"sc2mac_wt_data127\"\n ],\n \"sc2mac_wt_data19\": [\n \"sc2mac_wt_data19\"\n ],\n \"sc2mac_wt_data89\": [\n \"sc2mac_wt_data89\"\n ],\n \"sc2mac_dat_data73\": [\n \"sc2mac_dat_data73\"\n ],\n \"larstn\": [],\n \"\n...[18721 chars elided]...\nask\": [\n \"sc2mac_dat_mask\"\n ],\n \"sc2mac_dat_data119\": [\n \"sc2mac_dat_data119\"\n ],\n \"sc2mac_wt_data8\": [\n \"sc2mac_wt_data89\",\n \"sc2mac_wt_data88\",\n \"sc2mac_wt_data81\",\n \"sc2mac_wt_data86\",\n \"sc2mac_wt_data84\"\n ],\n \"sc2mac_wt_data23\": [\n \"sc2mac_wt_data23\"\n ],\n \"sc2mac_dat_data70\": [\n \"sc2mac_dat_data70\"\n ],\n \"sc2mac_wt_data79\": [\n \"sc2mac_wt_data79\"\n ],\n \"mac2accu_data4\": [\n \"mac2accu_data4\"\n ],\n \"sc2mac_wt_data46\": [\n \"sc2mac_wt_data46\"\n ],\n \"sc2mac_wt_data84\": [\n \"sc2mac_wt_data84\"\n ]\n },\n \"alignment_score\": 99.31,\n \"unmapped_elements\": [\n \"larstn\",\n \"la_r_clk\"\n ],\n \"mapping_statistics\": {\n \"rtl_signals\": 291,\n \"netlist_wires\": 289,\n \"netlist_cells\": 0,\n \"mapped_signals\": 289,\n \"unmapped_signals\": 2\n },\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"NV_NVDLA_partition_m\",\n \"port_count\": {\n \"inputs\": 273,\n \"outputs\": 15,\n \"inouts\": 0,\n \"total\": 288\n },\n \"signal_count\": {\n \"wires\": 3,\n \"regs\": 0,\n \"parameters\": 0,\n \"total\": 3\n },\n \"always_blocks\": 0,\n \"assign_statements\": 0,\n \"instantiations\": [\n \"NV_NVDLA_cmac\",\n \"NV_NVDLA_sync3d_s\",\n \"NV_NVDLA_reset\",\n \"NV_NVDLA_sync3d\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 882,\n \"total_lines\": 938,\n \"cyclomatic_complexity\": 2,\n \"nesting_depth\": 0,\n \"operator_count\": 3269\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "plan_id": "a47de0790f06", "design_id": "87ef97397f62", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/nvdla/hw", "commit": "8e06b1b9d85aab65b40d43d08eec5ea4681ff715", "path": "vmod/nvdla/top/NV_NVDLA_partition_m.v", "sha256": "9c4895c84cbda661ae5813cdced21427d3fd2f8287a91559e09c3524734a92ee"}} {"question": "For NV_NVDLA_CACC_single_reg, the medium-effort synthesis result is already tiny. If I follow the area-targeted optimization recommendations, how much area reduction should I expect compared with the current synthesized area, and what does it cost in delay?", "answer": "NV_NVDLA_CACC_single_reg currently synthesizes to an area of 23.0 with 22 cells, only one of which is a flip-flop ($_DFFE_PN0P_), and a 116.04 critical-path delay. The area-targeted recommendations, such as \"share -aggressive\" and \"muxcover; opt\", estimate a -15.0 change in area and a -10.0 change in power, but delay gets worse by 5.0. Because the logic is this small, accepting that delay penalty is probably not worth it.", "source_file": "github_repos/nvdla_hw/vmod/nvdla/cacc/NV_NVDLA_CACC_single_reg.v", "module_name": "NV_NVDLA_CACC_single_reg", "tool_name": "optimization_advisor+synthesis_tool", "tool_parameters": [{"target_metric": "area"}, {"optimization_level": "medium"}], "tool_result": "[optimization_advisor {\"target_metric\": \"area\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"area\",\n \"recommended_recipes\": [\n \"synth -top NV_NVDLA_CACC_single_reg -flatten\",\n \"opt -full; share -aggressive; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean -purge\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"mux_optimization\",\n \"description\": \"Share multiplexers where possible\",\n \"command\": \"muxcover; opt\"\n },\n {\n \"type\": \"resource_sharing\",\n \"description\": \"Share arithmetic operators\",\n \"command\": \"share -aggressive\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": -15.0,\n \"delay\": 5.0,\n \"power\": -10.0\n },\n \"trade_offs\": [\n \"Area optimization may increase delay\",\n \"Aggressive sharing increases routing complexity\"\n ],\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 23.0,\n \"delay\": 116.04,\n \"power\": 0.022,\n \"gate_count\": 22,\n \"cell_breakdown\": {\n \"$_ANDNOT_\": 2,\n \"$_AND_\": 8,\n \"$_DFFE_PN0P_\": 1,\n \"$_NAND_\": 6,\n \"$_NOR_\": 5\n },\n \"wire_count\": 31,\n \"wire_bits\": 210,\n \"critical_path_estimate\": 116.04,\n...[1171 chars elided]...\n \"error\": null\n}", "category": "multi_tool", "subcategory": "optimization_advisor+synthesis_tool", "difficulty": "compositional", "question_hash": "d231da16a885", "stage1_target": "[{\"tool\": \"optimization_advisor\", \"parameters\": {\"target_metric\": \"area\"}}, {\"tool\": \"synthesis_tool\", \"parameters\": {\"optimization_level\": \"medium\"}}]", "stage2_context": "Question: For NV_NVDLA_CACC_single_reg, the medium-effort synthesis result is already tiny. If I follow the area-targeted optimization recommendations, how much area reduction should I expect compared with the current synthesized area, and what does it cost in delay?\n\n[optimization_advisor {\"target_metric\": \"area\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"area\",\n \"recommended_recipes\": [\n \"synth -top NV_NVDLA_CACC_single_reg -flatten\",\n \"opt -full; share -aggressive; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean -purge\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"mux_optimization\",\n \"description\": \"Share multiplexers where possible\",\n \"command\": \"muxcover; opt\"\n },\n {\n \"type\": \"resource_sharing\",\n \"description\": \"Share arithmetic operators\",\n \"command\": \"share -aggressive\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": -15.0,\n \"delay\": 5.0,\n \"power\": -10.0\n },\n \"trade_offs\": [\n \"Area optimization may increase delay\",\n \"Aggressive sharing increases routing complexity\"\n ],\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 23.0,\n \"delay\": 116.04,\n \"power\": 0.022,\n \"gate_count\": 22,\n \"cell_breakdown\": {\n \"$_ANDNOT_\": 2,\n \"$_AND_\": 8,\n \"$_DFFE_PN0P_\": 1,\n \"$_NAND_\": 6,\n \"$_NOR_\": 5\n },\n \"wire_count\": 31,\n \"wire_bits\": 210,\n \"critical_path_estimate\": 116.04,\n...[1171 chars elided]...\n \"error\": null\n}", "plan_id": "61a6d2222828", "design_id": "882ca105e7af", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/nvdla/hw", "commit": "8e06b1b9d85aab65b40d43d08eec5ea4681ff715", "path": "vmod/nvdla/cacc/NV_NVDLA_CACC_single_reg.v", "sha256": "e9c1412a6ebc6d3072b530c34a316ba0c3f01821ca4f4db5b1ce69202a259cc0"}} {"question": "For RAMPDP_160X16_GL_M2_D2, the medium-effort synthesis result reports area, delay and a cell breakdown dominated by latches. If I apply the delay-targeted optimization recommendations, what delay and area changes should I expect, and does it make sense given how much of the design is storage cells?", "answer": "Medium-effort synthesis of RAMPDP_160X16_GL_M2_D2 gives an area of 4107.0 and a delay of 212.65, with 1280 $_DLATCH_N_ cells making up most of the 4189 gates. The delay-targeted optimization estimates a -20.0 delay improvement in exchange for a 10.0 area increase and a 5.0 power increase, using recipes such as 'abc -fast -liberty stdcells.lib' and suggestions like 'splitnets -driver'. Because the design is mostly latch storage rather than arithmetic, the pipelining suggestion probably won't help much, so most of any gain would have to come from reducing fanout.", "source_file": "github_repos/nvdla_hw/vmod/rams/model/RAMPDP_160X16_GL_M2_D2.v", "module_name": "RAMPDP_160X16_GL_M2_D2", "tool_name": "optimization_advisor+synthesis_tool", "tool_parameters": [{"target_metric": "delay"}, {"optimization_level": "medium"}], "tool_result": "[optimization_advisor {\"target_metric\": \"delay\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"delay\",\n \"recommended_recipes\": [\n \"synth -top RAMPDP_160X16_GL_M2_D2\",\n \"opt -fast\",\n \"abc -fast -liberty stdcells.lib\",\n \"opt_clean\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"pipeline_insertion\",\n \"description\": \"Consider pipelining arithmetic operations\",\n \"command\": \"Use register retiming\"\n },\n {\n \"type\": \"logic_duplication\",\n \"description\": \"Duplicate logic to reduce fanout\",\n \"command\": \"splitnets -driver\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": 10.0,\n \"delay\": -20.0,\n \"power\": 5.0\n },\n \"trade_offs\": [\n \"Speed optimization increases area\",\n \"Higher power consumption\"\n ],\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 4107.0,\n \"delay\": 212.65,\n \"power\": 4.189,\n \"gate_count\": 4189,\n \"cell_breakdown\": {\n \"$_ANDNOT_\": 16,\n \"$_AND_\": 6,\n \"$_DLATCH_N_\": 1280,\n \"$_NAND_\": 18,\n \"$_NOR_\": 3,\n \"$_DFF_P_\": 24,\n \"$_DLATCH_P_\": 27,\n \"$_NOT_\": 3,\n \"$_ORNOT_\": 1,\n \"$_OR_\": 33,\n \"$paramod$ecee313a762e2096e3606477732b655ee30da3aa\\\\RAMPDP_160X16_GL_M2_D2_ram\": 2,\n \"RAM_BANK_RAMPDP_160X16_G\n...[1427 chars elided]...\n \"error\": null\n}", "category": "multi_tool", "subcategory": "optimization_advisor+synthesis_tool", "difficulty": "compositional", "question_hash": "75a3fd3e1a13", "stage1_target": "[{\"tool\": \"optimization_advisor\", \"parameters\": {\"target_metric\": \"delay\"}}, {\"tool\": \"synthesis_tool\", \"parameters\": {\"optimization_level\": \"medium\"}}]", "stage2_context": "Question: For RAMPDP_160X16_GL_M2_D2, the medium-effort synthesis result reports area, delay and a cell breakdown dominated by latches. If I apply the delay-targeted optimization recommendations, what delay and area changes should I expect, and does it make sense given how much of the design is storage cells?\n\n[optimization_advisor {\"target_metric\": \"delay\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"delay\",\n \"recommended_recipes\": [\n \"synth -top RAMPDP_160X16_GL_M2_D2\",\n \"opt -fast\",\n \"abc -fast -liberty stdcells.lib\",\n \"opt_clean\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"pipeline_insertion\",\n \"description\": \"Consider pipelining arithmetic operations\",\n \"command\": \"Use register retiming\"\n },\n {\n \"type\": \"logic_duplication\",\n \"description\": \"Duplicate logic to reduce fanout\",\n \"command\": \"splitnets -driver\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": 10.0,\n \"delay\": -20.0,\n \"power\": 5.0\n },\n \"trade_offs\": [\n \"Speed optimization increases area\",\n \"Higher power consumption\"\n ],\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 4107.0,\n \"delay\": 212.65,\n \"power\": 4.189,\n \"gate_count\": 4189,\n \"cell_breakdown\": {\n \"$_ANDNOT_\": 16,\n \"$_AND_\": 6,\n \"$_DLATCH_N_\": 1280,\n \"$_NAND_\": 18,\n \"$_NOR_\": 3,\n \"$_DFF_P_\": 24,\n \"$_DLATCH_P_\": 27,\n \"$_NOT_\": 3,\n \"$_ORNOT_\": 1,\n \"$_OR_\": 33,\n \"$paramod$ecee313a762e2096e3606477732b655ee30da3aa\\\\RAMPDP_160X16_GL_M2_D2_ram\": 2,\n \"RAM_BANK_RAMPDP_160X16_G\n...[1427 chars elided]...\n \"error\": null\n}", "plan_id": "6c3383f6dd61", "design_id": "8ae6e3e4907f", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/nvdla/hw", "commit": "8e06b1b9d85aab65b40d43d08eec5ea4681ff715", "path": "vmod/rams/model/RAMPDP_160X16_GL_M2_D2.v", "sha256": "2ba7e1072266ce672eaa54711ae027666794e5f14d906a635bae8ba7584f3f9e"}} {"question": "In the CDFG of cal1d_fp16_pool_sum, how many floating-point adder instances are there and how much control logic surrounds them? Given that, would the power-targeted optimization plan, which relies on clock gating and operand isolation, be a good fit, and what does it estimate for power and area?", "answer": "The CDFG for cal1d_fp16_pool_sum has 60 nodes, including 4 HLS_fp17_add adders, 15 $reduce_and nodes and 23 $and nodes. That much enable-style control logic suits the suggested operand isolation and clockgate steps. For power, the plan estimates a -25.0 change in power and a 5.0 area overhead.", "source_file": "github_repos/nvdla_hw/vmod/nvdla/pdp/cal1d_fp16_pool_sum.v", "module_name": "cal1d_fp16_pool_sum", "tool_name": "graph_extractor+optimization_advisor", "tool_parameters": [{"graph_type": "CDFG"}, {"target_metric": "power"}], "tool_result": "[graph_extractor {\"graph_type\": \"CDFG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"CDFG\",\n...[41463 chars elided]...\n \"node_count\": 60,\n \"edge_count\": 366,\n \"graph_properties\": {\n \"node_types\": {\n \"$reduce_and\": 15,\n \"$and\": 23,\n \"HLS_fp17_add\": 4,\n \"port_input\": 12,\n \"port_output\": 6\n },\n \"avg_degree\": 6.1,\n \"module_name\": \"cal1d_fp16_pool_sum\"\n },\n \"error\": null\n}\n\n[optimization_advisor {\"target_metric\": \"power\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"power\",\n \"recommended_recipes\": [\n \"synth -top cal1d_fp16_pool_sum\",\n \"opt; share; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean; clockgate\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"clock_gating\",\n \"description\": \"Insert clock gating for registers\",\n \"command\": \"clockgate\"\n },\n {\n \"type\": \"operand_isolation\",\n \"description\": \"Isolate operands when not in use\",\n \"command\": \"Use enable signals for arithmetic\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": 5.0,\n \"delay\": 5.0,\n \"power\": -25.0\n },\n \"trade_offs\": [\n \"Power optimization may add area overhead\",\n \"Clock gating adds timing complexity\"\n ],\n \"error\": null\n}", "category": "multi_tool", "subcategory": "graph_extractor+optimization_advisor", "difficulty": "compositional", "question_hash": "151fba0ccb43", "stage1_target": "[{\"tool\": \"graph_extractor\", \"parameters\": {\"graph_type\": \"CDFG\"}}, {\"tool\": \"optimization_advisor\", \"parameters\": {\"target_metric\": \"power\"}}]", "stage2_context": "Question: In the CDFG of cal1d_fp16_pool_sum, how many floating-point adder instances are there and how much control logic surrounds them? Given that, would the power-targeted optimization plan, which relies on clock gating and operand isolation, be a good fit, and what does it estimate for power and area?\n\n[graph_extractor {\"graph_type\": \"CDFG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"CDFG\",\n...[41463 chars elided]...\n \"node_count\": 60,\n \"edge_count\": 366,\n \"graph_properties\": {\n \"node_types\": {\n \"$reduce_and\": 15,\n \"$and\": 23,\n \"HLS_fp17_add\": 4,\n \"port_input\": 12,\n \"port_output\": 6\n },\n \"avg_degree\": 6.1,\n \"module_name\": \"cal1d_fp16_pool_sum\"\n },\n \"error\": null\n}\n\n[optimization_advisor {\"target_metric\": \"power\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"power\",\n \"recommended_recipes\": [\n \"synth -top cal1d_fp16_pool_sum\",\n \"opt; share; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean; clockgate\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"clock_gating\",\n \"description\": \"Insert clock gating for registers\",\n \"command\": \"clockgate\"\n },\n {\n \"type\": \"operand_isolation\",\n \"description\": \"Isolate operands when not in use\",\n \"command\": \"Use enable signals for arithmetic\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": 5.0,\n \"delay\": 5.0,\n \"power\": -25.0\n },\n \"trade_offs\": [\n \"Power optimization may add area overhead\",\n \"Clock gating adds timing complexity\"\n ],\n \"error\": null\n}", "plan_id": "88f9fe0ecf00", "design_id": "8b318fc476d7", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/nvdla/hw", "commit": "8e06b1b9d85aab65b40d43d08eec5ea4681ff715", "path": "vmod/nvdla/pdp/cal1d_fp16_pool_sum.v", "sha256": "7c5b25ac061590d62d0fcec93367cc2f9d336714c63f702f5dc0486b08cf7647"}} {"question": "For NV_NVDLA_CDMA_WT_wrr_arb, the code has a cyclomatic complexity of 77 and 12 always blocks. If I apply an area-targeted optimization flow with aggressive resource sharing, what area and delay changes should I expect, and is that sharing likely to pay off given how complex the control logic is?", "answer": "The area-targeted flow (including 'share -aggressive' and 'muxcover; opt') is estimated to change area by -15.0 and delay by 5.0. NV_NVDLA_CDMA_WT_wrr_arb has a cyclomatic complexity of 77, a nesting depth of 39 and 821 operators spread over 12 always blocks, so it is dominated by branching control and mux logic. That makes mux sharing a good fit, though the flow warns that aggressive sharing increases routing complexity and may increase delay.", "source_file": "github_repos/nvdla_hw/vmod/nvdla/cdma/NV_NVDLA_CDMA_WT_wrr_arb.v", "module_name": "NV_NVDLA_CDMA_WT_wrr_arb", "tool_name": "optimization_advisor+static_analyzer", "tool_parameters": [{"target_metric": "area"}, {"analysis_type": "full"}], "tool_result": "[optimization_advisor {\"target_metric\": \"area\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"area\",\n \"recommended_recipes\": [\n \"synth -top NV_NVDLA_CDMA_WT_wrr_arb -flatten\",\n \"opt -full; share -aggressive; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean -purge\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"mux_optimization\",\n \"description\": \"Share multiplexers where possible\",\n \"command\": \"muxcover; opt\"\n },\n {\n \"type\": \"resource_sharing\",\n \"description\": \"Share arithmetic operators\",\n \"command\": \"share -aggressive\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": -15.0,\n \"delay\": 5.0,\n \"power\": -10.0\n },\n \"trade_offs\": [\n \"Area optimization may increase delay\",\n \"Aggressive sharing increases routing complexity\"\n ],\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"NV_NVDLA_CDMA_WT_wrr_arb\",\n \"port_count\": {\n \"inputs\": 7,\n \"outputs\": 2,\n \"inouts\": 0,\n \"total\": 9\n },\n \"signal_count\": {\n \"wires\": 15,\n \"regs\": 14,\n \"parameters\": 0,\n \"total\": 29\n },\n \"always_blocks\": 12,\n \"assign_statements\": 4,\n \"instantiations\": [\n \"ASSOCIATE_TESTPOINT_NAME_GOAL_NUMBER\",\n \"define\",\n \"endif\",\n \"FV_COVER_ON\",\n \"HAS_RETENTION_TESTPOINT_RESET_2\",\n \"HAS_RETENTION_TESTPOINT_GOAL_0\",\n \"HAS_RETENTION_TESTPOINT_RESET_0\",\n \"COVER_PRINT_TESTPOINT_HITS\",\n \"HAS_RETENTION_TESTPOINT_RESET_1\",\n \"HAS_RETENTION_TESTPOINT_GOAL_1\",\n \"HAS_RETENTION_TESTPOINT_GOAL_2\",\n \"system_verilog_testpoint\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 415,\n \"total_lines\": 672,\n \"cyclomatic_complexity\": 77,\n \"nesting_depth\": 39,\n \"operator_count\": 821\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "category": "multi_tool", "subcategory": "optimization_advisor+static_analyzer", "difficulty": "compositional", "question_hash": "606ef461fbdb", "stage1_target": "[{\"tool\": \"optimization_advisor\", \"parameters\": {\"target_metric\": \"area\"}}, {\"tool\": \"static_analyzer\", \"parameters\": {\"analysis_type\": \"full\"}}]", "stage2_context": "Question: For NV_NVDLA_CDMA_WT_wrr_arb, the code has a cyclomatic complexity of 77 and 12 always blocks. If I apply an area-targeted optimization flow with aggressive resource sharing, what area and delay changes should I expect, and is that sharing likely to pay off given how complex the control logic is?\n\n[optimization_advisor {\"target_metric\": \"area\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"area\",\n \"recommended_recipes\": [\n \"synth -top NV_NVDLA_CDMA_WT_wrr_arb -flatten\",\n \"opt -full; share -aggressive; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean -purge\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"mux_optimization\",\n \"description\": \"Share multiplexers where possible\",\n \"command\": \"muxcover; opt\"\n },\n {\n \"type\": \"resource_sharing\",\n \"description\": \"Share arithmetic operators\",\n \"command\": \"share -aggressive\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": -15.0,\n \"delay\": 5.0,\n \"power\": -10.0\n },\n \"trade_offs\": [\n \"Area optimization may increase delay\",\n \"Aggressive sharing increases routing complexity\"\n ],\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"NV_NVDLA_CDMA_WT_wrr_arb\",\n \"port_count\": {\n \"inputs\": 7,\n \"outputs\": 2,\n \"inouts\": 0,\n \"total\": 9\n },\n \"signal_count\": {\n \"wires\": 15,\n \"regs\": 14,\n \"parameters\": 0,\n \"total\": 29\n },\n \"always_blocks\": 12,\n \"assign_statements\": 4,\n \"instantiations\": [\n \"ASSOCIATE_TESTPOINT_NAME_GOAL_NUMBER\",\n \"define\",\n \"endif\",\n \"FV_COVER_ON\",\n \"HAS_RETENTION_TESTPOINT_RESET_2\",\n \"HAS_RETENTION_TESTPOINT_GOAL_0\",\n \"HAS_RETENTION_TESTPOINT_RESET_0\",\n \"COVER_PRINT_TESTPOINT_HITS\",\n \"HAS_RETENTION_TESTPOINT_RESET_1\",\n \"HAS_RETENTION_TESTPOINT_GOAL_1\",\n \"HAS_RETENTION_TESTPOINT_GOAL_2\",\n \"system_verilog_testpoint\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 415,\n \"total_lines\": 672,\n \"cyclomatic_complexity\": 77,\n \"nesting_depth\": 39,\n \"operator_count\": 821\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "plan_id": "d31204c1e535", "design_id": "8b557102635c", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/nvdla/hw", "commit": "8e06b1b9d85aab65b40d43d08eec5ea4681ff715", "path": "vmod/nvdla/cdma/NV_NVDLA_CDMA_WT_wrr_arb.v", "sha256": "9acdcad2331a06813bf4f332ab270aee0ac608bfc06b7408d55a53c623950b82"}} {"question": "For tcm_mem, how do the register cells in the CDFG compare with the flip-flops that remain after medium-effort synthesis, and how much logic and delay does the synthesized netlist have?", "answer": "The CDFG for tcm_mem has 74 nodes, including 1 $adffe and 4 $adff register cells along with 6 $mux nodes and the tcm_mem_pmem and tcm_mem_ram submodules. After medium-effort synthesis, these registers become 11 $_DFFE_PP0P_, 3 $_DFF_PP0_ and 1 $_DFF_PP1_ cells, and the logic is mostly 101 $_NAND_ and 50 $_ORNOT_ gates. The synthesized netlist has 182 cells, an area of 207.5 and a critical-path delay of 223.04.", "source_file": "github_repos/ultraembedded_riscv/top_tcm_wrapper/tcm_mem.v", "module_name": "tcm_mem", "tool_name": "graph_extractor+synthesis_tool", "tool_parameters": [{"graph_type": "CDFG"}, {"optimization_level": "medium"}], "tool_result": "[graph_extractor {\"graph_type\": \"CDFG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"CDFG\",\n...[38354 chars elided]...\n \"node_count\": 74,\n \"edge_count\": 705,\n \"graph_properties\": {\n \"node_types\": {\n \"$mux\": 6,\n \"$logic_and\": 2,\n \"$logic_or\": 5,\n \"$reduce_bool\": 2,\n \"$logic_not\": 1,\n \"$adffe\": 1,\n \"$adff\": 4,\n \"tcm_mem_pmem\": 1,\n \"tcm_mem_ram\": 1,\n \"port_input\": 31,\n \"port_output\": 20\n },\n \"avg_degree\": 9.53,\n \"module_name\": \"tcm_mem\"\n },\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 207.5,\n \"delay\": 223.04,\n \"power\": 0.182,\n \"gate_count\": 182,\n \"cell_breakdown\": {\n \"$_ANDNOT_\": 2,\n \"$_AND_\": 5,\n \"$_DFFE_PP0P_\": 11,\n \"$_DFF_PP0_\": 3,\n \"$_DFF_PP1_\": 1,\n \"$_NAND_\": 101,\n \"$_NOR_\": 6,\n \"$_NOT_\": 1,\n \"$_ORNOT_\": 50,\n \"tcm_mem_pmem\": 1,\n \"tcm_mem_ram\": 1\n },\n \"wire_count\": 182,\n \"wire_bits\": 708,\n \"critical_path_estimate\": 223.04,\n \"synthesi\n...[1329 chars elided]...\n \"error\": null\n}", "category": "multi_tool", "subcategory": "graph_extractor+synthesis_tool", "difficulty": "compositional", "question_hash": "64aa92208d83", "stage1_target": "[{\"tool\": \"graph_extractor\", \"parameters\": {\"graph_type\": \"CDFG\"}}, {\"tool\": \"synthesis_tool\", \"parameters\": {\"optimization_level\": \"medium\"}}]", "stage2_context": "Question: For tcm_mem, how do the register cells in the CDFG compare with the flip-flops that remain after medium-effort synthesis, and how much logic and delay does the synthesized netlist have?\n\n[graph_extractor {\"graph_type\": \"CDFG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"CDFG\",\n...[38354 chars elided]...\n \"node_count\": 74,\n \"edge_count\": 705,\n \"graph_properties\": {\n \"node_types\": {\n \"$mux\": 6,\n \"$logic_and\": 2,\n \"$logic_or\": 5,\n \"$reduce_bool\": 2,\n \"$logic_not\": 1,\n \"$adffe\": 1,\n \"$adff\": 4,\n \"tcm_mem_pmem\": 1,\n \"tcm_mem_ram\": 1,\n \"port_input\": 31,\n \"port_output\": 20\n },\n \"avg_degree\": 9.53,\n \"module_name\": \"tcm_mem\"\n },\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 207.5,\n \"delay\": 223.04,\n \"power\": 0.182,\n \"gate_count\": 182,\n \"cell_breakdown\": {\n \"$_ANDNOT_\": 2,\n \"$_AND_\": 5,\n \"$_DFFE_PP0P_\": 11,\n \"$_DFF_PP0_\": 3,\n \"$_DFF_PP1_\": 1,\n \"$_NAND_\": 101,\n \"$_NOR_\": 6,\n \"$_NOT_\": 1,\n \"$_ORNOT_\": 50,\n \"tcm_mem_pmem\": 1,\n \"tcm_mem_ram\": 1\n },\n \"wire_count\": 182,\n \"wire_bits\": 708,\n \"critical_path_estimate\": 223.04,\n \"synthesi\n...[1329 chars elided]...\n \"error\": null\n}", "plan_id": "e4a40c991ef5", "design_id": "8ceb74bcfd1b", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/ultraembedded/riscv", "commit": "7ae6f803e30f78c6ea3121e73c3adf50ff912730", "path": "top_tcm_wrapper/tcm_mem.v", "sha256": "960e745a4c9ff4c48b7114070d90c54cd415e6a4cc8ab12dffb6100ae4b15504"}} {"question": "For tcm_mem, how does the amount of sequential code in the RTL (declared regs and always blocks) compare with the flip-flop cells that come out of medium-effort synthesis, and how does that relate to the overall gate count and critical-path delay?", "answer": "The RTL of tcm_mem declares only 5 regs across 4 always blocks, with a cyclomatic complexity of 17. Medium-effort synthesis maps this logic to 11 $_DFFE_PP0P_, 3 $_DFF_PP0_ and 1 $_DFF_PP1_ flip-flops, which means the regs are multi-bit vectors. The sequential cells are a small part of a 182-gate netlist made up mostly of NAND (101) and ORNOT (50) cells, with an area of 207.5 and a critical-path delay of 223.04.", "source_file": "github_repos/ultraembedded_riscv/top_tcm_wrapper/tcm_mem.v", "module_name": "tcm_mem", "tool_name": "static_analyzer+synthesis_tool", "tool_parameters": [{"analysis_type": "full"}, {"optimization_level": "medium"}], "tool_result": "[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"tcm_mem\",\n \"port_count\": {\n \"inputs\": 19,\n \"outputs\": 12,\n \"inouts\": 0,\n \"total\": 31\n },\n \"signal_count\": {\n \"wires\": 7,\n \"regs\": 5,\n \"parameters\": 0,\n \"total\": 12\n },\n \"always_blocks\": 4,\n \"assign_statements\": 11,\n \"instantiations\": [\n \"tcm_mem_pmem\",\n \"tcm_mem_ram\",\n \"CONSEQUENTIAL\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 198,\n \"total_lines\": 296,\n \"cyclomatic_complexity\": 17,\n \"nesting_depth\": 4,\n \"operator_count\": 1295\n },\n \"lint_warnings\": [],\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 207.5,\n \"delay\": 223.04,\n \"power\": 0.182,\n \"gate_count\": 182,\n \"cell_breakdown\": {\n \"$_ANDNOT_\": 2,\n \"$_AND_\": 5,\n \"$_DFFE_PP0P_\": 11,\n \"$_DFF_PP0_\": 3,\n \"$_DFF_PP1_\": 1,\n \"$_NAND_\": 101,\n \"$_NOR_\": 6,\n \"$_NOT_\": 1,\n \"$_ORNOT_\": 50,\n \"tcm_mem_pmem\": 1,\n \"tcm_mem_ram\": 1\n },\n \"wire_count\": 182,\n \"wire_bits\": 708,\n \"critical_path_estimate\": 223.04,\n \"synthesi\n...[1329 chars elided]...\n \"error\": null\n}", "category": "multi_tool", "subcategory": "static_analyzer+synthesis_tool", "difficulty": "compositional", "question_hash": "a7a18b25a257", "stage1_target": "[{\"tool\": \"static_analyzer\", \"parameters\": {\"analysis_type\": \"full\"}}, {\"tool\": \"synthesis_tool\", \"parameters\": {\"optimization_level\": \"medium\"}}]", "stage2_context": "Question: For tcm_mem, how does the amount of sequential code in the RTL (declared regs and always blocks) compare with the flip-flop cells that come out of medium-effort synthesis, and how does that relate to the overall gate count and critical-path delay?\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"tcm_mem\",\n \"port_count\": {\n \"inputs\": 19,\n \"outputs\": 12,\n \"inouts\": 0,\n \"total\": 31\n },\n \"signal_count\": {\n \"wires\": 7,\n \"regs\": 5,\n \"parameters\": 0,\n \"total\": 12\n },\n \"always_blocks\": 4,\n \"assign_statements\": 11,\n \"instantiations\": [\n \"tcm_mem_pmem\",\n \"tcm_mem_ram\",\n \"CONSEQUENTIAL\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 198,\n \"total_lines\": 296,\n \"cyclomatic_complexity\": 17,\n \"nesting_depth\": 4,\n \"operator_count\": 1295\n },\n \"lint_warnings\": [],\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 207.5,\n \"delay\": 223.04,\n \"power\": 0.182,\n \"gate_count\": 182,\n \"cell_breakdown\": {\n \"$_ANDNOT_\": 2,\n \"$_AND_\": 5,\n \"$_DFFE_PP0P_\": 11,\n \"$_DFF_PP0_\": 3,\n \"$_DFF_PP1_\": 1,\n \"$_NAND_\": 101,\n \"$_NOR_\": 6,\n \"$_NOT_\": 1,\n \"$_ORNOT_\": 50,\n \"tcm_mem_pmem\": 1,\n \"tcm_mem_ram\": 1\n },\n \"wire_count\": 182,\n \"wire_bits\": 708,\n \"critical_path_estimate\": 223.04,\n \"synthesi\n...[1329 chars elided]...\n \"error\": null\n}", "plan_id": "13a93834a7cb", "design_id": "8ceb74bcfd1b", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/ultraembedded/riscv", "commit": "7ae6f803e30f78c6ea3121e73c3adf50ff912730", "path": "top_tcm_wrapper/tcm_mem.v", "sha256": "960e745a4c9ff4c48b7114070d90c54cd415e6a4cc8ab12dffb6100ae4b15504"}} {"question": "For NV_BLKBOX_SRC0_X, a delay-targeted optimization proposes pipelining arithmetic operations through register retiming. Given what the module's structure looks like, is that suggestion actually useful here, and what is the expected delay change?", "answer": "Probably not. NV_BLKBOX_SRC0_X has 0 inputs, 1 output, 0 regs, 0 always blocks and only 1 assign statement, so it has no registers to retime and no sequential path to pipeline. The delay-targeted recipe estimates a delay change of -20.0, but it also estimates area at 10.0 and power at 5.0, so applying it to a single constant-driving output costs area and power for little real benefit.", "source_file": "github_repos/nvdla_hw/vmod/vlibs/NV_BLKBOX_SRC0_X.v", "module_name": "NV_BLKBOX_SRC0_X", "tool_name": "optimization_advisor+static_analyzer", "tool_parameters": [{"target_metric": "delay"}, {"analysis_type": "full"}], "tool_result": "[optimization_advisor {\"target_metric\": \"delay\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"delay\",\n \"recommended_recipes\": [\n \"synth -top NV_BLKBOX_SRC0_X\",\n \"opt -fast\",\n \"abc -fast -liberty stdcells.lib\",\n \"opt_clean\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"pipeline_insertion\",\n \"description\": \"Consider pipelining arithmetic operations\",\n \"command\": \"Use register retiming\"\n },\n {\n \"type\": \"logic_duplication\",\n \"description\": \"Duplicate logic to reduce fanout\",\n \"command\": \"splitnets -driver\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": 10.0,\n \"delay\": -20.0,\n \"power\": 5.0\n },\n \"trade_offs\": [\n \"Speed optimization increases area\",\n \"Higher power consumption\"\n ],\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"NV_BLKBOX_SRC0_X\",\n \"port_count\": {\n \"inputs\": 0,\n \"outputs\": 1,\n \"inouts\": 0,\n \"total\": 1\n },\n \"signal_count\": {\n \"wires\": 0,\n \"regs\": 0,\n \"parameters\": 0,\n \"total\": 0\n },\n \"always_blocks\": 0,\n \"assign_statements\": 1,\n \"instantiations\": [],\n \"code_complexity\": {\n \"lines_of_code\": 6,\n \"total_lines\": 19,\n \"cyclomatic_complexity\": 2,\n \"nesting_depth\": 0,\n \"operator_count\": 146\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "category": "multi_tool", "subcategory": "optimization_advisor+static_analyzer", "difficulty": "compositional", "question_hash": "1653c7dbc0cf", "stage1_target": "[{\"tool\": \"optimization_advisor\", \"parameters\": {\"target_metric\": \"delay\"}}, {\"tool\": \"static_analyzer\", \"parameters\": {\"analysis_type\": \"full\"}}]", "stage2_context": "Question: For NV_BLKBOX_SRC0_X, a delay-targeted optimization proposes pipelining arithmetic operations through register retiming. Given what the module's structure looks like, is that suggestion actually useful here, and what is the expected delay change?\n\n[optimization_advisor {\"target_metric\": \"delay\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"delay\",\n \"recommended_recipes\": [\n \"synth -top NV_BLKBOX_SRC0_X\",\n \"opt -fast\",\n \"abc -fast -liberty stdcells.lib\",\n \"opt_clean\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"pipeline_insertion\",\n \"description\": \"Consider pipelining arithmetic operations\",\n \"command\": \"Use register retiming\"\n },\n {\n \"type\": \"logic_duplication\",\n \"description\": \"Duplicate logic to reduce fanout\",\n \"command\": \"splitnets -driver\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": 10.0,\n \"delay\": -20.0,\n \"power\": 5.0\n },\n \"trade_offs\": [\n \"Speed optimization increases area\",\n \"Higher power consumption\"\n ],\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"NV_BLKBOX_SRC0_X\",\n \"port_count\": {\n \"inputs\": 0,\n \"outputs\": 1,\n \"inouts\": 0,\n \"total\": 1\n },\n \"signal_count\": {\n \"wires\": 0,\n \"regs\": 0,\n \"parameters\": 0,\n \"total\": 0\n },\n \"always_blocks\": 0,\n \"assign_statements\": 1,\n \"instantiations\": [],\n \"code_complexity\": {\n \"lines_of_code\": 6,\n \"total_lines\": 19,\n \"cyclomatic_complexity\": 2,\n \"nesting_depth\": 0,\n \"operator_count\": 146\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "plan_id": "909bf6b95dc5", "design_id": "8e0f030b43c5", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/nvdla/hw", "commit": "8e06b1b9d85aab65b40d43d08eec5ea4681ff715", "path": "vmod/vlibs/NV_BLKBOX_SRC0_X.v", "sha256": "4ffd42b467eb78226528a384b6af69f48dca9a98cbb02c58b1ddf9216fa18355"}} {"question": "For spi_master_controller, how well do the RTL signals carry over into the synthesized netlist at medium optimization, and what does the resulting gate-level implementation look like in size and timing? Which RTL signals didn't map?", "answer": "spi_master_controller has an RTL-to-netlist alignment score of 94.03: 63 of its 67 RTL signals map, and the 4 that don't are wire, do_rx, en_quad_int and do_tx. At medium optimization the synthesized netlist has 998 cells, mostly 539 NAND and 268 AND gates, plus one instance each of the spi_master_clkgen, spi_master_rx and spi_master_tx submodules, giving an area of 1036.5 and a delay of 355.32.", "source_file": "github_repos/riscv-mcu_e203_hbirdv2/rtl/e203/perips/apb_spi_master/spi_master_controller.v", "module_name": "spi_master_controller", "tool_name": "cross_stage_mapper+synthesis_tool", "tool_parameters": [{}, {"optimization_level": "medium"}], "tool_result": "[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"rstn\": [\n \"rstn\"\n ],\n \"wire\": [],\n \"data_to_tx\": [\n \"data_to_tx\",\n \"data_to_tx_ready\",\n \"data_to_tx_valid\"\n ],\n \"spi_rise\": [\n \"spi_rise\"\n ],\n \"spi_dummy_wr\": [\n \"spi_dummy_wr\"\n ],\n \"spi_wr\": [\n \"spi_wr\"\n ],\n \"spi_status\": [\n \"spi_status\"\n ],\n \"spi_ctrl_data_tx_valid\": [\n \"spi_ctrl_data_tx_v\n...[2544 chars elided]...\n_sdi1\": [\n \"spi_sdi1\"\n ],\n \"rx_done\": [\n \"rx_done\"\n ],\n \"do_tx\": [],\n \"spi_clk_div_valid\": [\n \"spi_clk_div_valid\"\n ],\n \"spi_en_rx\": [\n \"spi_en_rx\"\n ],\n \"spi_rd\": [\n \"spi_rd\"\n ],\n \"spi_csn1\": [\n \"spi_csn1\"\n ],\n \"spi_sdo3\": [\n \"spi_sdo3\"\n ],\n \"tx_done\": [\n \"tx_done\"\n ],\n \"spi_mode\": [\n \"s_spi_mode\"\n ],\n \"ctrl_data_mux\": [\n \"ctrl_data_mux\"\n ],\n \"eot\": [\n \"eot\"\n ],\n \"ctrl_data_valid\": [\n \"ctrl_data_valid\"\n ],\n \"state\": [\n \"state_next\"\n ]\n },\n \"alignment_score\": 94.03,\n \"unmapped_elements\": [\n \"wire\",\n \"do_rx\",\n \"en_quad_int\",\n \"do_tx\"\n ],\n \"mapping_statistics\": {\n \"rtl_signals\": 67,\n \"netlist_wires\": 2222,\n \"netlist_cells\": 0,\n \"mapped_signals\": 63,\n \"unmapped_signals\": 4\n },\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 1036.5,\n \"delay\": 355.32,\n \"power\": 0.998,\n \"gate_count\": 998,\n \"cell_breakdown\": {\n \"$_ANDNOT_\": 37,\n \"$_AND_\": 268,\n \"$_DFFE_PN0P_\": 2,\n \"$_DFF_PN0_\": 6,\n \"$_DFF_PN1_\": 1,\n \"$_NAND_\": 539,\n \"$_NOR_\": 43,\n \"$_NOT_\": 9,\n \"$_ORNOT_\": 49,\n \"$_OR_\": 41,\n \"spi_master_clkgen\": 1,\n \"spi_master_rx\": 1,\n \"spi_master_tx\": 1\n },\n \"wire_count\": 847,\n \"wire_bits\": \n...[1386 chars elided]...\n \"error\": null\n}", "category": "multi_tool", "subcategory": "cross_stage_mapper+synthesis_tool", "difficulty": "compositional", "question_hash": "2b480184d60c", "stage1_target": "[{\"tool\": \"cross_stage_mapper\", \"parameters\": {}}, {\"tool\": \"synthesis_tool\", \"parameters\": {\"optimization_level\": \"medium\"}}]", "stage2_context": "Question: For spi_master_controller, how well do the RTL signals carry over into the synthesized netlist at medium optimization, and what does the resulting gate-level implementation look like in size and timing? Which RTL signals didn't map?\n\n[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"rstn\": [\n \"rstn\"\n ],\n \"wire\": [],\n \"data_to_tx\": [\n \"data_to_tx\",\n \"data_to_tx_ready\",\n \"data_to_tx_valid\"\n ],\n \"spi_rise\": [\n \"spi_rise\"\n ],\n \"spi_dummy_wr\": [\n \"spi_dummy_wr\"\n ],\n \"spi_wr\": [\n \"spi_wr\"\n ],\n \"spi_status\": [\n \"spi_status\"\n ],\n \"spi_ctrl_data_tx_valid\": [\n \"spi_ctrl_data_tx_v\n...[2544 chars elided]...\n_sdi1\": [\n \"spi_sdi1\"\n ],\n \"rx_done\": [\n \"rx_done\"\n ],\n \"do_tx\": [],\n \"spi_clk_div_valid\": [\n \"spi_clk_div_valid\"\n ],\n \"spi_en_rx\": [\n \"spi_en_rx\"\n ],\n \"spi_rd\": [\n \"spi_rd\"\n ],\n \"spi_csn1\": [\n \"spi_csn1\"\n ],\n \"spi_sdo3\": [\n \"spi_sdo3\"\n ],\n \"tx_done\": [\n \"tx_done\"\n ],\n \"spi_mode\": [\n \"s_spi_mode\"\n ],\n \"ctrl_data_mux\": [\n \"ctrl_data_mux\"\n ],\n \"eot\": [\n \"eot\"\n ],\n \"ctrl_data_valid\": [\n \"ctrl_data_valid\"\n ],\n \"state\": [\n \"state_next\"\n ]\n },\n \"alignment_score\": 94.03,\n \"unmapped_elements\": [\n \"wire\",\n \"do_rx\",\n \"en_quad_int\",\n \"do_tx\"\n ],\n \"mapping_statistics\": {\n \"rtl_signals\": 67,\n \"netlist_wires\": 2222,\n \"netlist_cells\": 0,\n \"mapped_signals\": 63,\n \"unmapped_signals\": 4\n },\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 1036.5,\n \"delay\": 355.32,\n \"power\": 0.998,\n \"gate_count\": 998,\n \"cell_breakdown\": {\n \"$_ANDNOT_\": 37,\n \"$_AND_\": 268,\n \"$_DFFE_PN0P_\": 2,\n \"$_DFF_PN0_\": 6,\n \"$_DFF_PN1_\": 1,\n \"$_NAND_\": 539,\n \"$_NOR_\": 43,\n \"$_NOT_\": 9,\n \"$_ORNOT_\": 49,\n \"$_OR_\": 41,\n \"spi_master_clkgen\": 1,\n \"spi_master_rx\": 1,\n \"spi_master_tx\": 1\n },\n \"wire_count\": 847,\n \"wire_bits\": \n...[1386 chars elided]...\n \"error\": null\n}", "plan_id": "c005fe3ab020", "design_id": "8f176b1c5377", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/riscv-mcu/e203_hbirdv2", "commit": "9f3e34f337f5d0a1236a285871ffa2032491617a", "path": "rtl/e203/perips/apb_spi_master/spi_master_controller.v", "sha256": "09f113d747e103f3067366529a3116e480f13cb656547a6726eb4465688759a3"}} {"question": "For nv_ram_rwsthp_80x72, the RTL contains 156 signals but many (like the shadow_mem_row registers) don't map to the netlist. Given what the AIG graph shows about the implemented structure, is a power-targeted optimization with clock gating and memory banking likely to pay off, and what does it promise?", "answer": "The RTL-to-netlist mapping matched only 67 of 156 RTL signals, leaving 89 unmapped (mostly simulation-only shadow_mem_row rows), and the AIG has just 158 nodes, of which 73 are NV_BLKBOX_SINK and 32 are AN2D4PO4 cells around a single nv_ram_rwsthp_80x72_logic block. So the synthesized logic is mostly a wrapper around a black-box memory. Power optimization estimates a -25.0 power change at the cost of 5.0 area and 5.0 delay, but clock gating and memory banking would have little wrapper logic to act on.", "source_file": "github_repos/nvdla_hw/vmod/rams/synth/nv_ram_rwsthp_80x72.v", "module_name": "nv_ram_rwsthp_80x72", "tool_name": "cross_stage_mapper+graph_extractor+optimization_advisor", "tool_parameters": [{}, {"graph_type": "AIG"}, {"target_metric": "power"}], "tool_result": "[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"mbist_en_sync\": [\n \"mbist_en_sync\",\n \"pre_mbist_en_sync\"\n ],\n \"shadow_mem_row79\": [],\n \"mbist_ce_r0\": [\n \"mbist_ce_r0\",\n \"pre_mbist_ce_r0\"\n ],\n \"shadow_mem_row29\": [],\n \"shadow_mem_row68\":\n...[6674 chars elided]...\now_mem_row68\",\n \"shadow_mem_row8\",\n \"shadow_mem_row47\",\n \"string\",\n \"shadow_mem_row69\",\n \"shadow_mem_row6\",\n \"shadow_mem_row41\",\n \"shadow_mem_row56\",\n \"integer\",\n \"shadow_mem_row38\",\n \"shadow_mem_row23\",\n \"disable_clear_mem\",\n \"shadow_mem_row35\",\n \"shadow_mem_row25\",\n \"shadow_mem_row78\",\n \"shadow_mem_row9\",\n \"random_num\",\n \"shadow_mem_row46\"\n ],\n \"mapping_statistics\": {\n \"rtl_signals\": 156,\n \"netlist_wires\": 66,\n \"netlist_cells\": 0,\n \"mapped_signals\": 67,\n \"unmapped_signals\": 89\n },\n \"error\": null\n}\n\n[graph_extractor {\"graph_type\": \"AIG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"AIG\",\n...[44978 chars elided]...\n \"node_count\": 158,\n \"edge_count\": 590,\n \"graph_properties\": {\n \"node_types\": {\n \"NV_BLKBOX_SRC0\": 9,\n \"AN2D4PO4\": 32,\n \"nv_ram_rwsthp_80x72_logic\": 1,\n \"NV_BLKBOX_SRC0_X\": 32,\n \"NV_BLKBOX_SINK\": 73,\n \"port_input\": 10,\n \"port_output\": 1\n },\n \"avg_degree\": 3.73,\n \"module_name\": \"nv_ram_rwsthp_80x72\"\n },\n \"error\": null\n}\n\n[optimization_advisor {\"target_metric\": \"power\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"power\",\n \"recommended_recipes\": [\n \"synth -top nv_ram_rwsthp_80x72\",\n \"opt; share; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean; clockgate\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"clock_gating\",\n \n...[34 chars elided]...\n \"estimated_improvement\": {\n \"area\": 5.0,\n \"delay\": 5.0,\n \"power\": -25.0\n },\n \"trade_offs\": [\n \"Power optimization may add area overhead\",\n \"Clock gating adds timing complexity\"\n ],\n \"error\": null\n}", "category": "multi_tool", "subcategory": "cross_stage_mapper+graph_extractor+optimization_advisor", "difficulty": "compositional", "question_hash": "48059d28562f", "stage1_target": "[{\"tool\": \"cross_stage_mapper\", \"parameters\": {}}, {\"tool\": \"graph_extractor\", \"parameters\": {\"graph_type\": \"AIG\"}}, {\"tool\": \"optimization_advisor\", \"parameters\": {\"target_metric\": \"power\"}}]", "stage2_context": "Question: For nv_ram_rwsthp_80x72, the RTL contains 156 signals but many (like the shadow_mem_row registers) don't map to the netlist. Given what the AIG graph shows about the implemented structure, is a power-targeted optimization with clock gating and memory banking likely to pay off, and what does it promise?\n\n[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"mbist_en_sync\": [\n \"mbist_en_sync\",\n \"pre_mbist_en_sync\"\n ],\n \"shadow_mem_row79\": [],\n \"mbist_ce_r0\": [\n \"mbist_ce_r0\",\n \"pre_mbist_ce_r0\"\n ],\n \"shadow_mem_row29\": [],\n \"shadow_mem_row68\":\n...[6674 chars elided]...\now_mem_row68\",\n \"shadow_mem_row8\",\n \"shadow_mem_row47\",\n \"string\",\n \"shadow_mem_row69\",\n \"shadow_mem_row6\",\n \"shadow_mem_row41\",\n \"shadow_mem_row56\",\n \"integer\",\n \"shadow_mem_row38\",\n \"shadow_mem_row23\",\n \"disable_clear_mem\",\n \"shadow_mem_row35\",\n \"shadow_mem_row25\",\n \"shadow_mem_row78\",\n \"shadow_mem_row9\",\n \"random_num\",\n \"shadow_mem_row46\"\n ],\n \"mapping_statistics\": {\n \"rtl_signals\": 156,\n \"netlist_wires\": 66,\n \"netlist_cells\": 0,\n \"mapped_signals\": 67,\n \"unmapped_signals\": 89\n },\n \"error\": null\n}\n\n[graph_extractor {\"graph_type\": \"AIG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"AIG\",\n...[44978 chars elided]...\n \"node_count\": 158,\n \"edge_count\": 590,\n \"graph_properties\": {\n \"node_types\": {\n \"NV_BLKBOX_SRC0\": 9,\n \"AN2D4PO4\": 32,\n \"nv_ram_rwsthp_80x72_logic\": 1,\n \"NV_BLKBOX_SRC0_X\": 32,\n \"NV_BLKBOX_SINK\": 73,\n \"port_input\": 10,\n \"port_output\": 1\n },\n \"avg_degree\": 3.73,\n \"module_name\": \"nv_ram_rwsthp_80x72\"\n },\n \"error\": null\n}\n\n[optimization_advisor {\"target_metric\": \"power\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"power\",\n \"recommended_recipes\": [\n \"synth -top nv_ram_rwsthp_80x72\",\n \"opt; share; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean; clockgate\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"clock_gating\",\n \n...[34 chars elided]...\n \"estimated_improvement\": {\n \"area\": 5.0,\n \"delay\": 5.0,\n \"power\": -25.0\n },\n \"trade_offs\": [\n \"Power optimization may add area overhead\",\n \"Clock gating adds timing complexity\"\n ],\n \"error\": null\n}", "plan_id": "9477be28d06d", "design_id": "8fda136fb505", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 3, "ctx_cap": 3300, "source": {"repository": "https://github.com/nvdla/hw", "commit": "8e06b1b9d85aab65b40d43d08eec5ea4681ff715", "path": "vmod/rams/synth/nv_ram_rwsthp_80x72.v", "sha256": "c766bf937cf004e7a59acdd3dccfb533d9839427a01450ade6bab81a69c75cd0"}} {"question": "For the servant module, the RTL-to-netlist mapping and the medium-effort synthesis netlist both report 32 wires. How well do the two line up? And if I go after power, what improvement does the power-targeted optimization estimate, and what does it cost in area?", "answer": "The mapping matches 28 of 29 RTL signals to the 32 netlist wires, for an alignment score of 96.55; the only unmapped element is \"wire\". Synthesis reports the same 32 wires, with a gate count of 6 (one instance each of servile, serv_rf_ram, servant_ram, servant_timer, servant_gpio and servant_mux), an area of 6.0, a delay of 85.59 and power of 0.006. The power-targeted plan uses clock gating and operand isolation, and it estimates a power change of -25.0 against an area change of 5.0, so expect a small area overhead.", "source_file": "github_repos/olofk_serv/servant/servant.v", "module_name": "servant", "tool_name": "cross_stage_mapper+optimization_advisor+synthesis_tool", "tool_parameters": [{}, {"target_metric": "power"}, {"optimization_level": "medium"}], "tool_result": "[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"wb_ext_adr\": [\n \"wb_ext_adr\"\n ],\n \"wire\": [],\n \"wb_timer_rdt\": [\n \"wb_timer_rdt\"\n ],\n \"wb_mem_stb\": [\n \"wb_mem_stb\"\n ],\n \"wb_ext_we\": [\n \"wb_ext_we\"\n ],\n \"wb_timer_stb\": [\n \"\n...[727 chars elided]...\n_gpio_we\"\n ],\n \"wb_mem_ack\": [\n \"wb_mem_ack\"\n ],\n \"wb_ext_rdt\": [\n \"wb_ext_rdt\"\n ],\n \"timer_irq\": [\n \"timer_irq\"\n ],\n \"wb_ext_ack\": [\n \"wb_ext_ack\"\n ],\n \"wb_clk\": [\n \"wb_clk\"\n ],\n \"wb_mem_we\": [\n \"wb_mem_we\"\n ],\n \"wb_gpio_stb\": [\n \"wb_gpio_stb\"\n ]\n },\n \"alignment_score\": 96.55,\n \"unmapped_elements\": [\n \"wire\"\n ],\n \"mapping_statistics\": {\n \"rtl_signals\": 29,\n \"netlist_wires\": 32,\n \"netlist_cells\": 0,\n \"mapped_signals\": 28,\n \"unmapped_signals\": 1\n },\n \"error\": null\n}\n\n[optimization_advisor {\"target_metric\": \"power\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"power\",\n \"recommended_recipes\": [\n \"synth -top servant\",\n \"opt; share; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean; clockgate\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"clock_gating\",\n \"description\": \"Insert clock gating for registers\",\n \"command\": \"clockgate\"\n },\n {\n \"type\": \"operand_isolation\",\n \"description\": \"Isolate operands when not in use\",\n \"command\": \"Use enable signals for arithmetic\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": 5.0,\n \"delay\": 5.0,\n \"power\": -25.0\n },\n \"trade_offs\": [\n \"Power optimization may add area overhead\",\n \"Clock gating adds timing complexity\"\n ],\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 6.0,\n \"delay\": 85.59,\n \"power\": 0.006,\n \"gate_count\": 6,\n \"cell_breakdown\": {\n \"serv_rf_ram\": 1,\n \"servant_gpio\": 1,\n \"servant_mux\": 1,\n \"servant_ram\": 1,\n \"servant_timer\": 1,\n \"servile\": 1\n },\n \"wire_count\": 32,\n \"wire_bits\":\n...[1658 chars elided]...\n \"error\": null\n}", "category": "multi_tool", "subcategory": "cross_stage_mapper+optimization_advisor+synthesis_tool", "difficulty": "compositional", "question_hash": "dce27dd3a62c", "stage1_target": "[{\"tool\": \"cross_stage_mapper\", \"parameters\": {}}, {\"tool\": \"optimization_advisor\", \"parameters\": {\"target_metric\": \"power\"}}, {\"tool\": \"synthesis_tool\", \"parameters\": {\"optimization_level\": \"medium\"}}]", "stage2_context": "Question: For the servant module, the RTL-to-netlist mapping and the medium-effort synthesis netlist both report 32 wires. How well do the two line up? And if I go after power, what improvement does the power-targeted optimization estimate, and what does it cost in area?\n\n[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"wb_ext_adr\": [\n \"wb_ext_adr\"\n ],\n \"wire\": [],\n \"wb_timer_rdt\": [\n \"wb_timer_rdt\"\n ],\n \"wb_mem_stb\": [\n \"wb_mem_stb\"\n ],\n \"wb_ext_we\": [\n \"wb_ext_we\"\n ],\n \"wb_timer_stb\": [\n \"\n...[727 chars elided]...\n_gpio_we\"\n ],\n \"wb_mem_ack\": [\n \"wb_mem_ack\"\n ],\n \"wb_ext_rdt\": [\n \"wb_ext_rdt\"\n ],\n \"timer_irq\": [\n \"timer_irq\"\n ],\n \"wb_ext_ack\": [\n \"wb_ext_ack\"\n ],\n \"wb_clk\": [\n \"wb_clk\"\n ],\n \"wb_mem_we\": [\n \"wb_mem_we\"\n ],\n \"wb_gpio_stb\": [\n \"wb_gpio_stb\"\n ]\n },\n \"alignment_score\": 96.55,\n \"unmapped_elements\": [\n \"wire\"\n ],\n \"mapping_statistics\": {\n \"rtl_signals\": 29,\n \"netlist_wires\": 32,\n \"netlist_cells\": 0,\n \"mapped_signals\": 28,\n \"unmapped_signals\": 1\n },\n \"error\": null\n}\n\n[optimization_advisor {\"target_metric\": \"power\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"power\",\n \"recommended_recipes\": [\n \"synth -top servant\",\n \"opt; share; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean; clockgate\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"clock_gating\",\n \"description\": \"Insert clock gating for registers\",\n \"command\": \"clockgate\"\n },\n {\n \"type\": \"operand_isolation\",\n \"description\": \"Isolate operands when not in use\",\n \"command\": \"Use enable signals for arithmetic\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": 5.0,\n \"delay\": 5.0,\n \"power\": -25.0\n },\n \"trade_offs\": [\n \"Power optimization may add area overhead\",\n \"Clock gating adds timing complexity\"\n ],\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 6.0,\n \"delay\": 85.59,\n \"power\": 0.006,\n \"gate_count\": 6,\n \"cell_breakdown\": {\n \"serv_rf_ram\": 1,\n \"servant_gpio\": 1,\n \"servant_mux\": 1,\n \"servant_ram\": 1,\n \"servant_timer\": 1,\n \"servile\": 1\n },\n \"wire_count\": 32,\n \"wire_bits\":\n...[1658 chars elided]...\n \"error\": null\n}", "plan_id": "892e0f7d7210", "design_id": "925fefb82002", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 3, "ctx_cap": 3300, "source": {"repository": "https://github.com/olofk/serv", "commit": "f200eb2ed7b69ac1c6b8eddd47654522aeee5ce8", "path": "servant/servant.v", "sha256": "4e36259237896970acb838ef8792ace30e7817b300ad652cb9e2aad716113c6c"}} {"question": "For serving_ram, the DFG shows one $dff register and 3 $mux nodes around the memory read and write ports. If I run a power-targeted optimization pass that adds clock gating, what power savings should I expect, and what will it cost me in area and delay?", "answer": "The DFG of serving_ram has 12 nodes, including 1 $dff, 3 $mux, 1 $memrd and 1 $memwr_v2. That register is what the suggested clockgate step would gate. The power-targeted optimization estimates a power change of -25.0, with area and delay each at 5.0, so the expected overhead is extra area and more complex timing.", "source_file": "github_repos/olofk_serv/serving/serving_ram.v", "module_name": "serving_ram", "tool_name": "graph_extractor+optimization_advisor", "tool_parameters": [{"graph_type": "DFG"}, {"target_metric": "power"}], "tool_result": "[graph_extractor {\"graph_type\": \"DFG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"DFG\",\n...[12872 chars elided]...\n \"node_count\": 12,\n \"edge_count\": 114,\n \"graph_properties\": {\n \"node_types\": {\n \"$memrd\": 1,\n \"$memwr_v2\": 1,\n \"$dff\": 1,\n \"$mux\": 3,\n \"port_input\": 5,\n \"port_output\": 1\n },\n \"avg_degree\": 9.5,\n \"module_name\": \"serving_ram\"\n },\n \"error\": null\n}\n\n[optimization_advisor {\"target_metric\": \"power\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"power\",\n \"recommended_recipes\": [\n \"synth -top serving_ram\",\n \"opt; share; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean; clockgate\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"clock_gating\",\n \"description\": \"Insert clock gating for registers\",\n \"command\": \"clockgate\"\n },\n {\n \"type\": \"operand_isolation\",\n \"description\": \"Isolate operands when not in use\",\n \"command\": \"Use enable signals for arithmetic\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": 5.0,\n \"delay\": 5.0,\n \"power\": -25.0\n },\n \"trade_offs\": [\n \"Power optimization may add area overhead\",\n \"Clock gating adds timing complexity\"\n ],\n \"error\": null\n}", "category": "multi_tool", "subcategory": "graph_extractor+optimization_advisor", "difficulty": "compositional", "question_hash": "38bf8eef9f6f", "stage1_target": "[{\"tool\": \"graph_extractor\", \"parameters\": {\"graph_type\": \"DFG\"}}, {\"tool\": \"optimization_advisor\", \"parameters\": {\"target_metric\": \"power\"}}]", "stage2_context": "Question: For serving_ram, the DFG shows one $dff register and 3 $mux nodes around the memory read and write ports. If I run a power-targeted optimization pass that adds clock gating, what power savings should I expect, and what will it cost me in area and delay?\n\n[graph_extractor {\"graph_type\": \"DFG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"DFG\",\n...[12872 chars elided]...\n \"node_count\": 12,\n \"edge_count\": 114,\n \"graph_properties\": {\n \"node_types\": {\n \"$memrd\": 1,\n \"$memwr_v2\": 1,\n \"$dff\": 1,\n \"$mux\": 3,\n \"port_input\": 5,\n \"port_output\": 1\n },\n \"avg_degree\": 9.5,\n \"module_name\": \"serving_ram\"\n },\n \"error\": null\n}\n\n[optimization_advisor {\"target_metric\": \"power\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"power\",\n \"recommended_recipes\": [\n \"synth -top serving_ram\",\n \"opt; share; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean; clockgate\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"clock_gating\",\n \"description\": \"Insert clock gating for registers\",\n \"command\": \"clockgate\"\n },\n {\n \"type\": \"operand_isolation\",\n \"description\": \"Isolate operands when not in use\",\n \"command\": \"Use enable signals for arithmetic\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": 5.0,\n \"delay\": 5.0,\n \"power\": -25.0\n },\n \"trade_offs\": [\n \"Power optimization may add area overhead\",\n \"Clock gating adds timing complexity\"\n ],\n \"error\": null\n}", "plan_id": "1971bfe3902b", "design_id": "95bfe2d07328", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/olofk/serv", "commit": "f200eb2ed7b69ac1c6b8eddd47654522aeee5ce8", "path": "serving/serving_ram.v", "sha256": "506c71b24e8e7364a9b2acea400a1ba6edacb48c6ccf34816f673694bd9bb6ac"}} {"question": "Looking at the CDFG of int_sum_block, how many flip-flops (enable-type registers) and adders does it have? Given that, does a power-focused optimization based on clock gating look worthwhile, and what are the expected power savings and area cost?", "answer": "The CDFG of int_sum_block has 18 $adffe enable flip-flops and 26 $add adders, along with 31 $mux nodes. That many enabled registers makes the recommended clockgate step a good fit, and operand isolation could cut switching in the adders as well. The power-targeted estimate is -25.0 for power, with area and delay each changing by 5.0.", "source_file": "github_repos/nvdla_hw/vmod/nvdla/cdp/int_sum_block.v", "module_name": "int_sum_block", "tool_name": "graph_extractor+optimization_advisor", "tool_parameters": [{"graph_type": "CDFG"}, {"target_metric": "power"}], "tool_result": "[graph_extractor {\"graph_type\": \"CDFG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"CDFG\",\n...[58211 chars elided]...\n \"node_count\": 128,\n \"edge_count\": 6176,\n \"graph_properties\": {\n \"node_types\": {\n \"$add\": 26,\n \"$and\": 6,\n \"$or\": 3,\n \"$mux\": 31,\n \"$adffe\": 18,\n \"$pmux\": 3,\n \"$eq\": 2,\n \"$logic_not\": 1,\n \"port_input\": 36,\n \"port_output\": 2\n },\n \"avg_degree\": 48.25,\n \"module_name\": \"int_sum_block\"\n },\n \"error\": null\n}\n\n[optimization_advisor {\"target_metric\": \"power\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"power\",\n \"recommended_recipes\": [\n \"synth -top int_sum_block\",\n \"opt; share; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean; clockgate\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"clock_gating\",\n \"description\": \"Insert clock gating for registers\",\n \"command\": \"clockgate\"\n },\n {\n \"type\": \"operand_isolation\",\n \"description\": \"Isolate operands when not in use\",\n \"command\": \"Use enable signals for arithmetic\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": 5.0,\n \"delay\": 5.0,\n \"power\": -25.0\n },\n \"trade_offs\": [\n \"Power optimization may add area overhead\",\n \"Clock gating adds timing complexity\"\n ],\n \"error\": null\n}", "category": "multi_tool", "subcategory": "graph_extractor+optimization_advisor", "difficulty": "compositional", "question_hash": "85ed41b8c9ac", "stage1_target": "[{\"tool\": \"graph_extractor\", \"parameters\": {\"graph_type\": \"CDFG\"}}, {\"tool\": \"optimization_advisor\", \"parameters\": {\"target_metric\": \"power\"}}]", "stage2_context": "Question: Looking at the CDFG of int_sum_block, how many flip-flops (enable-type registers) and adders does it have? Given that, does a power-focused optimization based on clock gating look worthwhile, and what are the expected power savings and area cost?\n\n[graph_extractor {\"graph_type\": \"CDFG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"CDFG\",\n...[58211 chars elided]...\n \"node_count\": 128,\n \"edge_count\": 6176,\n \"graph_properties\": {\n \"node_types\": {\n \"$add\": 26,\n \"$and\": 6,\n \"$or\": 3,\n \"$mux\": 31,\n \"$adffe\": 18,\n \"$pmux\": 3,\n \"$eq\": 2,\n \"$logic_not\": 1,\n \"port_input\": 36,\n \"port_output\": 2\n },\n \"avg_degree\": 48.25,\n \"module_name\": \"int_sum_block\"\n },\n \"error\": null\n}\n\n[optimization_advisor {\"target_metric\": \"power\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"power\",\n \"recommended_recipes\": [\n \"synth -top int_sum_block\",\n \"opt; share; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean; clockgate\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"clock_gating\",\n \"description\": \"Insert clock gating for registers\",\n \"command\": \"clockgate\"\n },\n {\n \"type\": \"operand_isolation\",\n \"description\": \"Isolate operands when not in use\",\n \"command\": \"Use enable signals for arithmetic\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": 5.0,\n \"delay\": 5.0,\n \"power\": -25.0\n },\n \"trade_offs\": [\n \"Power optimization may add area overhead\",\n \"Clock gating adds timing complexity\"\n ],\n \"error\": null\n}", "plan_id": "2f00cc5c306e", "design_id": "972d9d0d61fb", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/nvdla/hw", "commit": "8e06b1b9d85aab65b40d43d08eec5ea4681ff715", "path": "vmod/nvdla/cdp/int_sum_block.v", "sha256": "54bd3eb57fb362180b9e2ba00ad8878c9818d660b718131b4b2cf05dc0cc2199"}} {"question": "For serv_top, the medium-effort synthesis reports a delay of 100.1 with only 12 cells. If I apply the delay-targeted optimization recommendations, what delay improvement and area cost should I expect, and do the suggested techniques make sense given what this top level is actually built from?", "answer": "Medium-effort synthesis of serv_top gives an area of 11.5 and a delay of 100.1 across 12 cells, and almost all of those cells are submodule instances (serv_alu, serv_ctrl, serv_csr and others) plus a single $_NOT_ and a single $_OR_. The delay-targeted recommendations estimate a delay change of -20.0 in exchange for a +10.0 area change, through register retiming and fanout-reducing logic duplication (splitnets -driver). Because the top level has almost no logic of its own, those changes would only pay off if they are applied inside the submodules or after flattening, not at the top level as it stands.", "source_file": "github_repos/olofk_serv/rtl/serv_top.v", "module_name": "serv_top", "tool_name": "optimization_advisor+synthesis_tool", "tool_parameters": [{"target_metric": "delay"}, {"optimization_level": "medium"}], "tool_result": "[optimization_advisor {\"target_metric\": \"delay\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"delay\",\n \"recommended_recipes\": [\n \"synth -top serv_top\",\n \"opt -fast\",\n \"abc -fast -liberty stdcells.lib\",\n \"opt_clean\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"pipeline_insertion\",\n \"description\": \"Consider pipelining arithmetic operations\",\n \"command\": \"Use register retiming\"\n },\n {\n \"type\": \"logic_duplication\",\n \"description\": \"Duplicate logic to reduce fanout\",\n \"command\": \"splitnets -driver\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": 10.0,\n \"delay\": -20.0,\n \"power\": 5.0\n },\n \"trade_offs\": [\n \"Speed optimization increases area\",\n \"Higher power consumption\"\n ],\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 11.5,\n \"delay\": 100.1,\n \"power\": 0.012,\n \"gate_count\": 12,\n \"cell_breakdown\": {\n \"$_NOT_\": 1,\n \"$_OR_\": 1,\n \"serv_alu\": 1,\n \"serv_bufreg\": 1,\n \"serv_bufreg2\": 1,\n \"serv_csr\": 1,\n \"serv_ctrl\": 1,\n \"serv_decode\": 1,\n \"serv_immdec\": 1,\n \"serv_mem_if\": 1,\n \"serv_rf_if\": 1,\n \"serv_state\": 1\n },\n \"wire_count\": 126,\n \"wire_bits\": 548,\n \"critical_path_estimate\": \n...[1350 chars elided]...\n \"error\": null\n}", "category": "multi_tool", "subcategory": "optimization_advisor+synthesis_tool", "difficulty": "compositional", "question_hash": "c9f70faa2068", "stage1_target": "[{\"tool\": \"optimization_advisor\", \"parameters\": {\"target_metric\": \"delay\"}}, {\"tool\": \"synthesis_tool\", \"parameters\": {\"optimization_level\": \"medium\"}}]", "stage2_context": "Question: For serv_top, the medium-effort synthesis reports a delay of 100.1 with only 12 cells. If I apply the delay-targeted optimization recommendations, what delay improvement and area cost should I expect, and do the suggested techniques make sense given what this top level is actually built from?\n\n[optimization_advisor {\"target_metric\": \"delay\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"delay\",\n \"recommended_recipes\": [\n \"synth -top serv_top\",\n \"opt -fast\",\n \"abc -fast -liberty stdcells.lib\",\n \"opt_clean\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"pipeline_insertion\",\n \"description\": \"Consider pipelining arithmetic operations\",\n \"command\": \"Use register retiming\"\n },\n {\n \"type\": \"logic_duplication\",\n \"description\": \"Duplicate logic to reduce fanout\",\n \"command\": \"splitnets -driver\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": 10.0,\n \"delay\": -20.0,\n \"power\": 5.0\n },\n \"trade_offs\": [\n \"Speed optimization increases area\",\n \"Higher power consumption\"\n ],\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 11.5,\n \"delay\": 100.1,\n \"power\": 0.012,\n \"gate_count\": 12,\n \"cell_breakdown\": {\n \"$_NOT_\": 1,\n \"$_OR_\": 1,\n \"serv_alu\": 1,\n \"serv_bufreg\": 1,\n \"serv_bufreg2\": 1,\n \"serv_csr\": 1,\n \"serv_ctrl\": 1,\n \"serv_decode\": 1,\n \"serv_immdec\": 1,\n \"serv_mem_if\": 1,\n \"serv_rf_if\": 1,\n \"serv_state\": 1\n },\n \"wire_count\": 126,\n \"wire_bits\": 548,\n \"critical_path_estimate\": \n...[1350 chars elided]...\n \"error\": null\n}", "plan_id": "c50d27c2b996", "design_id": "98e8b2852c4b", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/olofk/serv", "commit": "f200eb2ed7b69ac1c6b8eddd47654522aeee5ce8", "path": "rtl/serv_top.v", "sha256": "c35b88bed5732309069203b2d04421622eaae108d5bf5daef3de273daf43388e"}} {"question": "For serv_top, the AIG graph shows the top level is mostly submodule instances plus a handful of glue gates. Given that and the synthesis results at medium optimization, how much would the area-targeted optimization plan be expected to help, and what would it cost?", "answer": "The AIG graph of serv_top has only 48 nodes, and apart from instances such as serv_alu and serv_ctrl the glue logic is 1 $_AND_ and 4 $_NOT_ nodes. Medium synthesis reports 12 gates, an area of 11.5 and a delay of 100.1. The area-targeted plan (including 'share -aggressive' and 'muxcover; opt') estimates a -15.0 area change and -10.0 power, but at a +5.0 delay cost and more routing complexity, so at this level the real savings would have to come from flattening into the submodules.", "source_file": "github_repos/olofk_serv/rtl/serv_top.v", "module_name": "serv_top", "tool_name": "graph_extractor+optimization_advisor+synthesis_tool", "tool_parameters": [{"graph_type": "AIG"}, {"target_metric": "area"}, {"optimization_level": "medium"}], "tool_result": "[graph_extractor {\"graph_type\": \"AIG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"AIG\",\n...[27988 chars elided]...\n \"node_count\": 48,\n \"edge_count\": 548,\n \"graph_properties\": {\n \"node_types\": {\n \"$_AND_\": 1,\n \"$_NOT_\": 4,\n \"serv_alu\": 1,\n \"serv_bufreg\": 1,\n \"serv_bufreg2\": 1,\n \"serv_ctrl\": 1,\n \"serv_decode\": 1,\n \"serv_csr\": 1,\n \"serv_immdec\": 1,\n \"serv_mem_if\": 1,\n \"serv_rf_if\": 1,\n \"serv_state\": 1,\n \"port_input\": 12,\n \"port_output\": 21\n },\n \"avg_degree\": 11.42,\n \"module_name\": \"serv_top\"\n },\n \"error\": null\n}\n\n[optimization_advisor {\"target_metric\": \"area\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"area\",\n \"recommended_recipes\": [\n \"synth -top serv_top -flatten\",\n \"opt -full; share -aggressive; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean -purge\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"mux_optimization\",\n \"description\": \"Share multiplexers where possible\",\n \"command\": \"muxcover; opt\"\n },\n {\n \"type\": \"resource_sharing\",\n \"description\": \"Share arithmetic operators\",\n \"command\": \"share -aggressive\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": -15.0,\n \"delay\": 5.0,\n \"power\": -10.0\n },\n \"trade_offs\": [\n \"Area optimization may increase delay\",\n \"Aggressive sharing increases routing complexity\"\n ],\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 11.5,\n \"delay\": 100.1,\n \"power\": 0.012,\n \"gate_count\": 12,\n \"cell_breakdown\": {\n \"$_NOT_\": 1,\n \"$_OR_\": 1,\n \"serv_alu\": 1,\n \"serv_bufreg\": 1,\n \"serv_bufreg2\": 1,\n \"serv_csr\": 1,\n \"serv_ctrl\": 1,\n \"serv_decode\": 1,\n \"serv\n...[1800 chars elided]...\n \"error\": null\n}", "category": "multi_tool", "subcategory": "graph_extractor+optimization_advisor+synthesis_tool", "difficulty": "compositional", "question_hash": "2db7c3afd7d4", "stage1_target": "[{\"tool\": \"graph_extractor\", \"parameters\": {\"graph_type\": \"AIG\"}}, {\"tool\": \"optimization_advisor\", \"parameters\": {\"target_metric\": \"area\"}}, {\"tool\": \"synthesis_tool\", \"parameters\": {\"optimization_level\": \"medium\"}}]", "stage2_context": "Question: For serv_top, the AIG graph shows the top level is mostly submodule instances plus a handful of glue gates. Given that and the synthesis results at medium optimization, how much would the area-targeted optimization plan be expected to help, and what would it cost?\n\n[graph_extractor {\"graph_type\": \"AIG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"AIG\",\n...[27988 chars elided]...\n \"node_count\": 48,\n \"edge_count\": 548,\n \"graph_properties\": {\n \"node_types\": {\n \"$_AND_\": 1,\n \"$_NOT_\": 4,\n \"serv_alu\": 1,\n \"serv_bufreg\": 1,\n \"serv_bufreg2\": 1,\n \"serv_ctrl\": 1,\n \"serv_decode\": 1,\n \"serv_csr\": 1,\n \"serv_immdec\": 1,\n \"serv_mem_if\": 1,\n \"serv_rf_if\": 1,\n \"serv_state\": 1,\n \"port_input\": 12,\n \"port_output\": 21\n },\n \"avg_degree\": 11.42,\n \"module_name\": \"serv_top\"\n },\n \"error\": null\n}\n\n[optimization_advisor {\"target_metric\": \"area\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"area\",\n \"recommended_recipes\": [\n \"synth -top serv_top -flatten\",\n \"opt -full; share -aggressive; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean -purge\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"mux_optimization\",\n \"description\": \"Share multiplexers where possible\",\n \"command\": \"muxcover; opt\"\n },\n {\n \"type\": \"resource_sharing\",\n \"description\": \"Share arithmetic operators\",\n \"command\": \"share -aggressive\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": -15.0,\n \"delay\": 5.0,\n \"power\": -10.0\n },\n \"trade_offs\": [\n \"Area optimization may increase delay\",\n \"Aggressive sharing increases routing complexity\"\n ],\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 11.5,\n \"delay\": 100.1,\n \"power\": 0.012,\n \"gate_count\": 12,\n \"cell_breakdown\": {\n \"$_NOT_\": 1,\n \"$_OR_\": 1,\n \"serv_alu\": 1,\n \"serv_bufreg\": 1,\n \"serv_bufreg2\": 1,\n \"serv_csr\": 1,\n \"serv_ctrl\": 1,\n \"serv_decode\": 1,\n \"serv\n...[1800 chars elided]...\n \"error\": null\n}", "plan_id": "867d1b6784a1", "design_id": "98e8b2852c4b", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 3, "ctx_cap": 3300, "source": {"repository": "https://github.com/olofk/serv", "commit": "f200eb2ed7b69ac1c6b8eddd47654522aeee5ce8", "path": "rtl/serv_top.v", "sha256": "c35b88bed5732309069203b2d04421622eaae108d5bf5daef3de273daf43388e"}} {"question": "For the servile module, does the source-level structure (instantiations, wire count, always blocks) match what shows up after medium-effort synthesis in terms of cell types, wire count and port count? Also, what critical-path delay does synthesis report?", "answer": "The source has 0 always blocks and 47 wires and instantiates servile_arbiter, mdu_top and a generate block. Synthesis keeps the hierarchy as 4 black-box cells (serv_rf_ram_if, serv_top, servile_arbiter, servile_mux) with no mdu_top, and reports 60 wires (635 bits). The port count of 23 is the same in both, and the critical path estimate is 75.79.", "source_file": "github_repos/olofk_serv/servile/servile.v", "module_name": "servile", "tool_name": "static_analyzer+synthesis_tool", "tool_parameters": [{"analysis_type": "full"}, {"optimization_level": "medium"}], "tool_result": "[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"servile\",\n \"port_count\": {\n \"inputs\": 8,\n \"outputs\": 15,\n \"inouts\": 0,\n \"total\": 23\n },\n \"signal_count\": {\n \"wires\": 47,\n \"regs\": 0,\n \"parameters\": 7,\n \"total\": 47\n },\n \"always_blocks\": 0,\n \"assign_statements\": 2,\n \"instantiations\": [\n \"servile_arbiter\",\n \"generate\",\n \"mdu_top\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 240,\n \"total_lines\": 280,\n \"cyclomatic_complexity\": 4,\n \"nesting_depth\": 2,\n \"operator_count\": 68\n },\n \"lint_warnings\": [],\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 4.0,\n \"delay\": 75.79,\n \"power\": 0.004,\n \"gate_count\": 4,\n \"cell_breakdown\": {\n \"serv_rf_ram_if\": 1,\n \"serv_top\": 1,\n \"servile_arbiter\": 1,\n \"servile_mux\": 1\n },\n \"wire_count\": 60,\n \"wire_bits\": 635,\n \"critical_path_estimate\": 75.79,\n...[1161 chars elided]...\n \"error\": null\n}", "category": "multi_tool", "subcategory": "static_analyzer+synthesis_tool", "difficulty": "compositional", "question_hash": "cc9d614eda47", "stage1_target": "[{\"tool\": \"static_analyzer\", \"parameters\": {\"analysis_type\": \"full\"}}, {\"tool\": \"synthesis_tool\", \"parameters\": {\"optimization_level\": \"medium\"}}]", "stage2_context": "Question: For the servile module, does the source-level structure (instantiations, wire count, always blocks) match what shows up after medium-effort synthesis in terms of cell types, wire count and port count? Also, what critical-path delay does synthesis report?\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"servile\",\n \"port_count\": {\n \"inputs\": 8,\n \"outputs\": 15,\n \"inouts\": 0,\n \"total\": 23\n },\n \"signal_count\": {\n \"wires\": 47,\n \"regs\": 0,\n \"parameters\": 7,\n \"total\": 47\n },\n \"always_blocks\": 0,\n \"assign_statements\": 2,\n \"instantiations\": [\n \"servile_arbiter\",\n \"generate\",\n \"mdu_top\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 240,\n \"total_lines\": 280,\n \"cyclomatic_complexity\": 4,\n \"nesting_depth\": 2,\n \"operator_count\": 68\n },\n \"lint_warnings\": [],\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 4.0,\n \"delay\": 75.79,\n \"power\": 0.004,\n \"gate_count\": 4,\n \"cell_breakdown\": {\n \"serv_rf_ram_if\": 1,\n \"serv_top\": 1,\n \"servile_arbiter\": 1,\n \"servile_mux\": 1\n },\n \"wire_count\": 60,\n \"wire_bits\": 635,\n \"critical_path_estimate\": 75.79,\n...[1161 chars elided]...\n \"error\": null\n}", "plan_id": "6c8c0276a2c1", "design_id": "992960aade6b", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/olofk/serv", "commit": "f200eb2ed7b69ac1c6b8eddd47654522aeee5ce8", "path": "servile/servile.v", "sha256": "3ae38ac0da93e45980dc01ba41c40ac3ebf84f4ad505889971cb9ae00b0fef02"}} {"question": "For dcache_axi_axi, the AIG has 96 flip-flops (84 plain DFFs plus 12 enabled DFFs) and 536 AND nodes. Given that structure, would the delay-targeted optimization plan be a good fit, and what would it cost?", "answer": "The AIG for dcache_axi_axi has 1452 nodes, made up of 536 $_AND_ gates, 772 $_NOT_ gates and 84 $_DFF_PP0_ plus 12 $_DFFE_PP0P_ registers, so there is a lot of combinational logic between the registers that retiming and logic duplication (splitnets -driver) could rebalance. The delay-targeted plan estimates a delay change of -20.0, but it comes with an area change of 10.0 and a power change of 5.0, matching the stated trade-offs that speed optimization increases area and raises power consumption.", "source_file": "github_repos/ultraembedded_riscv/top_cache_axi/src_v/dcache_axi_axi.v", "module_name": "dcache_axi_axi", "tool_name": "graph_extractor+optimization_advisor", "tool_parameters": [{"graph_type": "AIG"}, {"target_metric": "delay"}], "tool_result": "[graph_extractor {\"graph_type\": \"AIG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"AIG\",\n...[33472 chars elided]...\n \"node_count\": 1452,\n \"edge_count\": 3548,\n \"graph_properties\": {\n \"node_types\": {\n \"$_AND_\": 536,\n \"$_NOT_\": 772,\n \"$_DFF_PP0_\": 84,\n \"$_DFFE_PP0P_\": 12,\n \"port_input\": 23,\n \"port_output\": 25\n },\n \"avg_degree\": 2.44,\n \"module_name\": \"dcache_axi_axi\"\n },\n \"error\": null\n}\n\n[optimization_advisor {\"target_metric\": \"delay\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"delay\",\n \"recommended_recipes\": [\n \"synth -top dcache_axi_axi\",\n \"opt -fast\",\n \"abc -fast -liberty stdcells.lib\",\n \"opt_clean\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"pipeline_insertion\",\n \"description\": \"Consider pipelining arithmetic operations\",\n \"command\": \"Use register retiming\"\n },\n {\n \"type\": \"logic_duplication\",\n \"description\": \"Duplicate logic to reduce fanout\",\n \"command\": \"splitnets -driver\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": 10.0,\n \"delay\": -20.0,\n \"power\": 5.0\n },\n \"trade_offs\": [\n \"Speed optimization increases area\",\n \"Higher power consumption\"\n ],\n \"error\": null\n}", "category": "multi_tool", "subcategory": "graph_extractor+optimization_advisor", "difficulty": "compositional", "question_hash": "041528d29e89", "stage1_target": "[{\"tool\": \"graph_extractor\", \"parameters\": {\"graph_type\": \"AIG\"}}, {\"tool\": \"optimization_advisor\", \"parameters\": {\"target_metric\": \"delay\"}}]", "stage2_context": "Question: For dcache_axi_axi, the AIG has 96 flip-flops (84 plain DFFs plus 12 enabled DFFs) and 536 AND nodes. Given that structure, would the delay-targeted optimization plan be a good fit, and what would it cost?\n\n[graph_extractor {\"graph_type\": \"AIG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"AIG\",\n...[33472 chars elided]...\n \"node_count\": 1452,\n \"edge_count\": 3548,\n \"graph_properties\": {\n \"node_types\": {\n \"$_AND_\": 536,\n \"$_NOT_\": 772,\n \"$_DFF_PP0_\": 84,\n \"$_DFFE_PP0P_\": 12,\n \"port_input\": 23,\n \"port_output\": 25\n },\n \"avg_degree\": 2.44,\n \"module_name\": \"dcache_axi_axi\"\n },\n \"error\": null\n}\n\n[optimization_advisor {\"target_metric\": \"delay\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"delay\",\n \"recommended_recipes\": [\n \"synth -top dcache_axi_axi\",\n \"opt -fast\",\n \"abc -fast -liberty stdcells.lib\",\n \"opt_clean\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"pipeline_insertion\",\n \"description\": \"Consider pipelining arithmetic operations\",\n \"command\": \"Use register retiming\"\n },\n {\n \"type\": \"logic_duplication\",\n \"description\": \"Duplicate logic to reduce fanout\",\n \"command\": \"splitnets -driver\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": 10.0,\n \"delay\": -20.0,\n \"power\": 5.0\n },\n \"trade_offs\": [\n \"Speed optimization increases area\",\n \"Higher power consumption\"\n ],\n \"error\": null\n}", "plan_id": "633acde21d8a", "design_id": "99497c324a1b", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/ultraembedded/riscv", "commit": "7ae6f803e30f78c6ea3121e73c3adf50ff912730", "path": "top_cache_axi/src_v/dcache_axi_axi.v", "sha256": "ff193fd3a4db1b1d6b0df8eee80356b95972e40047162985e7dbea3a0f061151"}} {"question": "For nv_ram_rwsp_160x16, the CDFG shows a lot of DFT and power-down wrapper cells around the single RAM logic block. Given that structure, how much would a power-targeted optimization flow be expected to help, and is clock gating likely to pay off here?", "answer": "The CDFG has 104 nodes and 305 edges, made up mostly of 34 AN2D4PO4 gates, 34 NV_BLKBOX_SRC0_X sources and 17 NV_BLKBOX_SINK cells around a single nv_ram_rwsp_160x16_logic block, so very little of the design is ordinary register logic. The power-targeted flow estimates a -25.0 power change at a cost of 5.0 in area and 5.0 in delay, and recommends clock gating with the 'clockgate' command. Since the memory is one black-box macro, banking it with memory_share or using the existing pwrbus_ram_pd power-down path will probably do more than gating the few wrapper registers, which would add timing complexity for little gain.", "source_file": "github_repos/nvdla_hw/vmod/rams/synth/nv_ram_rwsp_160x16.v", "module_name": "nv_ram_rwsp_160x16", "tool_name": "graph_extractor+optimization_advisor", "tool_parameters": [{"graph_type": "CDFG"}, {"target_metric": "power"}], "tool_result": "[graph_extractor {\"graph_type\": \"CDFG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"CDFG\",\n...[44342 chars elided]...\n \"node_count\": 104,\n \"edge_count\": 305,\n \"graph_properties\": {\n \"node_types\": {\n \"NV_BLKBOX_SRC0\": 9,\n \"AN2D4PO4\": 34,\n \"nv_ram_rwsp_160x16_logic\": 1,\n \"NV_BLKBOX_SRC0_X\": 34,\n \"NV_BLKBOX_SINK\": 17,\n \"port_input\": 8,\n \"port_output\": 1\n },\n \"avg_degree\": 2.93,\n \"module_name\": \"nv_ram_rwsp_160x16\"\n },\n \"error\": null\n}\n\n[optimization_advisor {\"target_metric\": \"power\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"power\",\n \"recommended_recipes\": [\n \"synth -top nv_ram_rwsp_160x16\",\n \"opt; share; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean; clockgate\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"clock_gating\",\n \"description\": \"Insert clock gating for registers\",\n \"command\": \"clockgate\"\n },\n {\n \"type\": \"memory_banking\",\n \"description\": \"Bank memories to reduce active area\",\n \"command\": \"memory_share\"\n },\n {\n \"type\": \"operand_isolation\",\n \"description\": \"Isolate operands when not in use\",\n \"command\": \"Use enable signals for arithmetic\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": 5.0,\n \"delay\": 5.0,\n \"power\": -25.0\n },\n \"trade_offs\": [\n \"Power optimization may add area overhead\",\n \"Clock gating adds timing complexity\"\n ],\n \"error\": null\n}", "category": "multi_tool", "subcategory": "graph_extractor+optimization_advisor", "difficulty": "compositional", "question_hash": "478b631f0710", "stage1_target": "[{\"tool\": \"graph_extractor\", \"parameters\": {\"graph_type\": \"CDFG\"}}, {\"tool\": \"optimization_advisor\", \"parameters\": {\"target_metric\": \"power\"}}]", "stage2_context": "Question: For nv_ram_rwsp_160x16, the CDFG shows a lot of DFT and power-down wrapper cells around the single RAM logic block. Given that structure, how much would a power-targeted optimization flow be expected to help, and is clock gating likely to pay off here?\n\n[graph_extractor {\"graph_type\": \"CDFG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"CDFG\",\n...[44342 chars elided]...\n \"node_count\": 104,\n \"edge_count\": 305,\n \"graph_properties\": {\n \"node_types\": {\n \"NV_BLKBOX_SRC0\": 9,\n \"AN2D4PO4\": 34,\n \"nv_ram_rwsp_160x16_logic\": 1,\n \"NV_BLKBOX_SRC0_X\": 34,\n \"NV_BLKBOX_SINK\": 17,\n \"port_input\": 8,\n \"port_output\": 1\n },\n \"avg_degree\": 2.93,\n \"module_name\": \"nv_ram_rwsp_160x16\"\n },\n \"error\": null\n}\n\n[optimization_advisor {\"target_metric\": \"power\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"power\",\n \"recommended_recipes\": [\n \"synth -top nv_ram_rwsp_160x16\",\n \"opt; share; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean; clockgate\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"clock_gating\",\n \"description\": \"Insert clock gating for registers\",\n \"command\": \"clockgate\"\n },\n {\n \"type\": \"memory_banking\",\n \"description\": \"Bank memories to reduce active area\",\n \"command\": \"memory_share\"\n },\n {\n \"type\": \"operand_isolation\",\n \"description\": \"Isolate operands when not in use\",\n \"command\": \"Use enable signals for arithmetic\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": 5.0,\n \"delay\": 5.0,\n \"power\": -25.0\n },\n \"trade_offs\": [\n \"Power optimization may add area overhead\",\n \"Clock gating adds timing complexity\"\n ],\n \"error\": null\n}", "plan_id": "35301b2ba29e", "design_id": "9bb156bc33b1", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/nvdla/hw", "commit": "8e06b1b9d85aab65b40d43d08eec5ea4681ff715", "path": "vmod/rams/synth/nv_ram_rwsp_160x16.v", "sha256": "d38ae5530f632a878317c487b985107765e8a17cdbd7c397670979db15a0166e"}} {"question": "For the spm module, how well do the RTL signals line up with the synthesized netlist, and what does the AIG graph of the netlist show about its size and its sequential versus timing-related cells?", "answer": "All 192 RTL signals in spm map to the 192 netlist wires, so the alignment score is 100.0 and nothing is left unmapped. The AIG graph has 320 nodes and 1011 edges. It includes 64 sky130_fd_sc_hd__dfrtp_1 flip-flops, 32 sky130_fd_sc_hd__dlygate4sd3_1 delay cells for hold fixing, and 9 sky130_fd_sc_hd__clkbuf_16 clock buffers.", "source_file": "github_repos/The-OpenROAD-Project_OpenROAD/src/gpl/test/region01-spm.nl.v", "module_name": "spm", "tool_name": "cross_stage_mapper+graph_extractor", "tool_parameters": [{}, {"graph_type": "AIG"}], "tool_result": "[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"_083_\": [\n \"_083_\"\n ],\n \"_030_\": [\n \"_030_\"\n ],\n \"_070_\": [\n \"_070_\"\n ],\n \"net41\": [\n \"net41\"\n ],\n \"net73\": [\n \"net73\"\n ],\n \"_050_\": [\n \"_050_\"\n ],\n \"_073_\": [\n \"_073_\"\n ],\n \"_013_\": [\n \"_013_\"\n ],\n \"_085_\": [\n \"_085_\"\n ],\n \"_011_\": [\n \"_011_\"\n ],\n \"_092_\": [\n \n...[6853 chars elided]...\n1_\": [\n \"_021_\"\n ],\n \"net72\": [\n \"net72\"\n ],\n \"net68\": [\n \"net68\"\n ],\n \"_058_\": [\n \"_058_\"\n ],\n \"_074_\": [\n \"_074_\"\n ],\n \"net19\": [\n \"net19\"\n ],\n \"_043_\": [\n \"_043_\"\n ],\n \"_010_\": [\n \"_010_\"\n ],\n \"_039_\": [\n \"_039_\"\n ],\n \"net40\": [\n \"net40\"\n ],\n \"net80\": [\n \"net80\"\n ],\n \"net25\": [\n \"net25\"\n ],\n \"net55\": [\n \"net55\"\n ],\n \"net71\": [\n \"net71\"\n ],\n \"_031_\": [\n \"_031_\"\n ],\n \"_081_\": [\n \"_081_\"\n ],\n \"_016_\": [\n \"_016_\"\n ],\n \"net17\": [\n \"net17\"\n ]\n },\n \"alignment_score\": 100.0,\n \"unmapped_elements\": [],\n \"mapping_statistics\": {\n \"rtl_signals\": 192,\n \"netlist_wires\": 192,\n \"netlist_cells\": 0,\n \"mapped_signals\": 192,\n \"unmapped_signals\": 0\n },\n \"error\": null\n}\n\n[graph_extractor {\"graph_type\": \"AIG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"AIG\",\n...[39927 chars elided]...\nA1\"\n }\n ],\n \"node_count\": 320,\n \"edge_count\": 1011,\n \"graph_properties\": {\n \"node_types\": {\n \"sky130_fd_sc_hd__xnor2_1\": 31,\n \"sky130_fd_sc_hd__a21o_1\": 31,\n \"sky130_fd_sc_hd__nand3_1\": 31,\n \"sky130_fd_sc_hd__nand2_1\": 31,\n \"sky130_fd_sc_hd__and3_1\": 1,\n \"sky130_fd_sc_hd__a21oi_1\": 1,\n \"sky130_fd_sc_hd__nor2_1\": 1,\n \"sky130_fd_sc_hd__a21bo_1\": 31,\n \"sky130_fd_sc_hd__dfrtp_1\": 64,\n \"sky130_fd_sc_hd__clkbuf_16\": 9,\n \"sky130_fd_sc_hd__buf_2\": 6,\n \"sky130_fd_sc_hd__clkbuf_2\": 7,\n \"sky130_fd_sc_hd__clkbuf_4\": 5,\n \"sky130_fd_sc_hd__dlygate4sd3_1\": 32,\n \"sky130_fd_sc_hd__clkbuf_1\": 29,\n \"sky130_fd_sc_hd__buf_1\": 4,\n \"sky130_fd_sc_hd__dlymetal6s2s_1\": 1,\n \"port_input\": 4,\n \"port_output\": 1\n },\n \"avg_degree\": 3.16,\n \"module_name\": \"spm\"\n },\n \"error\": null\n}", "category": "multi_tool", "subcategory": "cross_stage_mapper+graph_extractor", "difficulty": "compositional", "question_hash": "80ae0100e215", "stage1_target": "[{\"tool\": \"cross_stage_mapper\", \"parameters\": {}}, {\"tool\": \"graph_extractor\", \"parameters\": {\"graph_type\": \"AIG\"}}]", "stage2_context": "Question: For the spm module, how well do the RTL signals line up with the synthesized netlist, and what does the AIG graph of the netlist show about its size and its sequential versus timing-related cells?\n\n[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"_083_\": [\n \"_083_\"\n ],\n \"_030_\": [\n \"_030_\"\n ],\n \"_070_\": [\n \"_070_\"\n ],\n \"net41\": [\n \"net41\"\n ],\n \"net73\": [\n \"net73\"\n ],\n \"_050_\": [\n \"_050_\"\n ],\n \"_073_\": [\n \"_073_\"\n ],\n \"_013_\": [\n \"_013_\"\n ],\n \"_085_\": [\n \"_085_\"\n ],\n \"_011_\": [\n \"_011_\"\n ],\n \"_092_\": [\n \n...[6853 chars elided]...\n1_\": [\n \"_021_\"\n ],\n \"net72\": [\n \"net72\"\n ],\n \"net68\": [\n \"net68\"\n ],\n \"_058_\": [\n \"_058_\"\n ],\n \"_074_\": [\n \"_074_\"\n ],\n \"net19\": [\n \"net19\"\n ],\n \"_043_\": [\n \"_043_\"\n ],\n \"_010_\": [\n \"_010_\"\n ],\n \"_039_\": [\n \"_039_\"\n ],\n \"net40\": [\n \"net40\"\n ],\n \"net80\": [\n \"net80\"\n ],\n \"net25\": [\n \"net25\"\n ],\n \"net55\": [\n \"net55\"\n ],\n \"net71\": [\n \"net71\"\n ],\n \"_031_\": [\n \"_031_\"\n ],\n \"_081_\": [\n \"_081_\"\n ],\n \"_016_\": [\n \"_016_\"\n ],\n \"net17\": [\n \"net17\"\n ]\n },\n \"alignment_score\": 100.0,\n \"unmapped_elements\": [],\n \"mapping_statistics\": {\n \"rtl_signals\": 192,\n \"netlist_wires\": 192,\n \"netlist_cells\": 0,\n \"mapped_signals\": 192,\n \"unmapped_signals\": 0\n },\n \"error\": null\n}\n\n[graph_extractor {\"graph_type\": \"AIG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"AIG\",\n...[39927 chars elided]...\nA1\"\n }\n ],\n \"node_count\": 320,\n \"edge_count\": 1011,\n \"graph_properties\": {\n \"node_types\": {\n \"sky130_fd_sc_hd__xnor2_1\": 31,\n \"sky130_fd_sc_hd__a21o_1\": 31,\n \"sky130_fd_sc_hd__nand3_1\": 31,\n \"sky130_fd_sc_hd__nand2_1\": 31,\n \"sky130_fd_sc_hd__and3_1\": 1,\n \"sky130_fd_sc_hd__a21oi_1\": 1,\n \"sky130_fd_sc_hd__nor2_1\": 1,\n \"sky130_fd_sc_hd__a21bo_1\": 31,\n \"sky130_fd_sc_hd__dfrtp_1\": 64,\n \"sky130_fd_sc_hd__clkbuf_16\": 9,\n \"sky130_fd_sc_hd__buf_2\": 6,\n \"sky130_fd_sc_hd__clkbuf_2\": 7,\n \"sky130_fd_sc_hd__clkbuf_4\": 5,\n \"sky130_fd_sc_hd__dlygate4sd3_1\": 32,\n \"sky130_fd_sc_hd__clkbuf_1\": 29,\n \"sky130_fd_sc_hd__buf_1\": 4,\n \"sky130_fd_sc_hd__dlymetal6s2s_1\": 1,\n \"port_input\": 4,\n \"port_output\": 1\n },\n \"avg_degree\": 3.16,\n \"module_name\": \"spm\"\n },\n \"error\": null\n}", "plan_id": "f77c5695601b", "design_id": "9cfe537be77d", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/The-OpenROAD-Project/OpenROAD", "commit": "3e3e483a4e3f98e2b5470b272040699de6dedbee", "path": "src/gpl/test/region01-spm.nl.v", "sha256": "6bb51d515f756e9d5873ea6f66cd93e372c4ccd547081e977ba22c39ae1f080a"}} {"question": "For the reg5 module, how well does the netlist match the RTL, and what does the structural breakdown of the code (ports, signals, instantiated cells) say about why the mapping is so clean?", "answer": "The RTL-to-netlist mapping for reg5 has an alignment score of 100.0, with all 7 RTL signals mapped to 7 netlist wires and 0 unmapped signals. That fits the static profile: reg5 is a purely structural netlist with 2 inputs, 1 output and 4 wires, 0 always blocks and 0 assign statements, and it only instantiates the snl_ffqx1, snl_bufx1 and snl_and02x1 library cells, so every signal name carries over directly.", "source_file": "github_repos/The-OpenROAD-Project_OpenROAD/src/dbSta/test/reg5.v", "module_name": "reg5", "tool_name": "cross_stage_mapper+static_analyzer", "tool_parameters": [{}, {"analysis_type": "full"}], "tool_result": "[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"u2z\": [\n \"u2z\"\n ],\n \"r1q\": [\n \"r1q\"\n ],\n \"clk\": [\n \"clk\"\n ],\n \"r2q\": [\n \"r2q\"\n ],\n \"u1z\": [\n \"u1z\"\n ],\n \"in\": [\n \"in\"\n ],\n \"out\": [\n \"out\"\n ]\n },\n \"alignment_score\": 100.0,\n \"unmapped_elements\": [],\n \"mapping_statistics\": {\n \"rtl_signals\": 7,\n \"netlist_wires\": 7,\n \"netlist_cells\": 0,\n \"mapped_signals\": 7,\n \"unmapped_signals\": 0\n },\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"reg5\",\n \"port_count\": {\n \"inputs\": 2,\n \"outputs\": 1,\n \"inouts\": 0,\n \"total\": 3\n },\n \"signal_count\": {\n \"wires\": 4,\n \"regs\": 0,\n \"parameters\": 0,\n \"total\": 4\n },\n \"always_blocks\": 0,\n \"assign_statements\": 0,\n \"instantiations\": [\n \"snl_ffqx1\",\n \"snl_bufx1\",\n \"snl_and02x1\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 25,\n \"total_lines\": 29,\n \"cyclomatic_complexity\": 2,\n \"nesting_depth\": 0,\n \"operator_count\": 2\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "category": "multi_tool", "subcategory": "cross_stage_mapper+static_analyzer", "difficulty": "compositional", "question_hash": "969861705c62", "stage1_target": "[{\"tool\": \"cross_stage_mapper\", \"parameters\": {}}, {\"tool\": \"static_analyzer\", \"parameters\": {\"analysis_type\": \"full\"}}]", "stage2_context": "Question: For the reg5 module, how well does the netlist match the RTL, and what does the structural breakdown of the code (ports, signals, instantiated cells) say about why the mapping is so clean?\n\n[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"u2z\": [\n \"u2z\"\n ],\n \"r1q\": [\n \"r1q\"\n ],\n \"clk\": [\n \"clk\"\n ],\n \"r2q\": [\n \"r2q\"\n ],\n \"u1z\": [\n \"u1z\"\n ],\n \"in\": [\n \"in\"\n ],\n \"out\": [\n \"out\"\n ]\n },\n \"alignment_score\": 100.0,\n \"unmapped_elements\": [],\n \"mapping_statistics\": {\n \"rtl_signals\": 7,\n \"netlist_wires\": 7,\n \"netlist_cells\": 0,\n \"mapped_signals\": 7,\n \"unmapped_signals\": 0\n },\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"reg5\",\n \"port_count\": {\n \"inputs\": 2,\n \"outputs\": 1,\n \"inouts\": 0,\n \"total\": 3\n },\n \"signal_count\": {\n \"wires\": 4,\n \"regs\": 0,\n \"parameters\": 0,\n \"total\": 4\n },\n \"always_blocks\": 0,\n \"assign_statements\": 0,\n \"instantiations\": [\n \"snl_ffqx1\",\n \"snl_bufx1\",\n \"snl_and02x1\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 25,\n \"total_lines\": 29,\n \"cyclomatic_complexity\": 2,\n \"nesting_depth\": 0,\n \"operator_count\": 2\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "plan_id": "95e1308b9ba6", "design_id": "9ee58486626b", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/The-OpenROAD-Project/OpenROAD", "commit": "3e3e483a4e3f98e2b5470b272040699de6dedbee", "path": "src/dbSta/test/reg5.v", "sha256": "d1242a304f16cd8af93287904a4442a1057bef2443d068dc05965b6b5b49c619"}} {"question": "For NV_NVDLA_CACC_CALC_int16, how does the amount of sequential logic in its CDFG compare with the register count and control complexity in the source code? Specifically, how many flip-flop cells of each kind appear in the CDFG, and how do they compare with the declared regs, always blocks and cyclomatic complexity?", "answer": "The CDFG for NV_NVDLA_CACC_CALC_int16 has 4 $dffe, 4 $adffe and 4 $adff cells among its 79 nodes, along with 18 $mux nodes. The source declares 15 regs in 14 always blocks and has a cyclomatic complexity of 84, so the mux-heavy datapath matches the module's branch-heavy control logic.", "source_file": "github_repos/nvdla_hw/vmod/nvdla/cacc/NV_NVDLA_CACC_CALC_int16.v", "module_name": "NV_NVDLA_CACC_CALC_int16", "tool_name": "graph_extractor+static_analyzer", "tool_parameters": [{"graph_type": "CDFG"}, {"analysis_type": "full"}], "tool_result": "[graph_extractor {\"graph_type\": \"CDFG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"CDFG\",\n...[49011 chars elided]...\n \"node_count\": 79,\n \"edge_count\": 2226,\n \"graph_properties\": {\n \"node_types\": {\n \"$mux\": 18,\n \"$logic_not\": 2,\n \"$eq\": 2,\n \"$logic_and\": 1,\n \"$logic_or\": 2,\n \"$add\": 4,\n \"$and\": 9,\n \"$not\": 6,\n \"$xor\": 2,\n \"$sshr\": 1,\n \"$or\": 3,\n \"$reduce_and\": 2,\n \"$reduce_or\": 2,\n \"$dffe\": 4,\n \"$adffe\": 4,\n \"$adff\": 4,\n \"port_input\": 8,\n \"port_output\": 5\n },\n \"avg_degree\": 28.18,\n \"module_name\": \"NV_NVDLA_CACC_CALC_int16\"\n },\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"NV_NVDLA_CACC_CALC_int16\",\n \"port_count\": {\n \"inputs\": 8,\n \"outputs\": 5,\n \"inouts\": 0,\n \"total\": 13\n },\n \"signal_count\": {\n \"wires\": 37,\n \"regs\": 15,\n \"parameters\": 0,\n \"total\": 52\n },\n \"always_blocks\": 14,\n \"assign_statements\": 34,\n \"instantiations\": [\n \"define\",\n \"cover\",\n \"disable\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 415,\n \"total_lines\": 620,\n \"cyclomatic_complexity\": 84,\n \"nesting_depth\": 61,\n \"operator_count\": 949\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "category": "multi_tool", "subcategory": "graph_extractor+static_analyzer", "difficulty": "compositional", "question_hash": "703911cfaa5c", "stage1_target": "[{\"tool\": \"graph_extractor\", \"parameters\": {\"graph_type\": \"CDFG\"}}, {\"tool\": \"static_analyzer\", \"parameters\": {\"analysis_type\": \"full\"}}]", "stage2_context": "Question: For NV_NVDLA_CACC_CALC_int16, how does the amount of sequential logic in its CDFG compare with the register count and control complexity in the source code? Specifically, how many flip-flop cells of each kind appear in the CDFG, and how do they compare with the declared regs, always blocks and cyclomatic complexity?\n\n[graph_extractor {\"graph_type\": \"CDFG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"CDFG\",\n...[49011 chars elided]...\n \"node_count\": 79,\n \"edge_count\": 2226,\n \"graph_properties\": {\n \"node_types\": {\n \"$mux\": 18,\n \"$logic_not\": 2,\n \"$eq\": 2,\n \"$logic_and\": 1,\n \"$logic_or\": 2,\n \"$add\": 4,\n \"$and\": 9,\n \"$not\": 6,\n \"$xor\": 2,\n \"$sshr\": 1,\n \"$or\": 3,\n \"$reduce_and\": 2,\n \"$reduce_or\": 2,\n \"$dffe\": 4,\n \"$adffe\": 4,\n \"$adff\": 4,\n \"port_input\": 8,\n \"port_output\": 5\n },\n \"avg_degree\": 28.18,\n \"module_name\": \"NV_NVDLA_CACC_CALC_int16\"\n },\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"NV_NVDLA_CACC_CALC_int16\",\n \"port_count\": {\n \"inputs\": 8,\n \"outputs\": 5,\n \"inouts\": 0,\n \"total\": 13\n },\n \"signal_count\": {\n \"wires\": 37,\n \"regs\": 15,\n \"parameters\": 0,\n \"total\": 52\n },\n \"always_blocks\": 14,\n \"assign_statements\": 34,\n \"instantiations\": [\n \"define\",\n \"cover\",\n \"disable\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 415,\n \"total_lines\": 620,\n \"cyclomatic_complexity\": 84,\n \"nesting_depth\": 61,\n \"operator_count\": 949\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "plan_id": "9137b527dae5", "design_id": "9f92eb6f46bb", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/nvdla/hw", "commit": "8e06b1b9d85aab65b40d43d08eec5ea4681ff715", "path": "vmod/nvdla/cacc/NV_NVDLA_CACC_CALC_int16.v", "sha256": "9df1be2c11cf59d7fc03ee71f457d9c28796042304d8f3231a7d54c1799e9ac3"}} {"question": "For timer_cntrl, how does the structure in its CDFG compare with the code complexity measured on the source? Specifically, how many mux and register (adffe) nodes does the CDFG have next to the module's cyclomatic complexity and nesting depth, and do the port counts in the two analyses agree?", "answer": "The CDFG for timer_cntrl has 29 nodes, including 7 $mux nodes and 2 $adffe registers. These line up with the source's 2 always blocks, cyclomatic complexity of 13 and nesting depth of 6. Both analyses report the same 8 inputs and 6 outputs.", "source_file": "github_repos/riscv-mcu_e203_hbirdv2/rtl/e203/perips/apb_adv_timer/timer_cntrl.v", "module_name": "timer_cntrl", "tool_name": "graph_extractor+static_analyzer", "tool_parameters": [{"graph_type": "CDFG"}, {"analysis_type": "full"}], "tool_result": "[graph_extractor {\"graph_type\": \"CDFG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"CDFG\",\n...[10948 chars elided]...\n \"node_count\": 29,\n \"edge_count\": 54,\n \"graph_properties\": {\n \"node_types\": {\n \"$logic_and\": 2,\n \"$logic_not\": 2,\n \"$adffe\": 2,\n \"$reduce_bool\": 2,\n \"$mux\": 7,\n \"port_input\": 8,\n \"port_output\": 6\n },\n \"avg_degree\": 1.86,\n \"module_name\": \"timer_cntrl\"\n },\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"timer_cntrl\",\n \"port_count\": {\n \"inputs\": 8,\n \"outputs\": 6,\n \"inouts\": 0,\n \"total\": 14\n },\n \"signal_count\": {\n \"wires\": 11,\n \"regs\": 5,\n \"parameters\": 0,\n \"total\": 16\n },\n \"always_blocks\": 2,\n \"assign_statements\": 3,\n \"instantiations\": [\n \"proc_r_active\",\n \"proc_sm\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 48,\n \"total_lines\": 72,\n \"cyclomatic_complexity\": 13,\n \"nesting_depth\": 6,\n \"operator_count\": 58\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "category": "multi_tool", "subcategory": "graph_extractor+static_analyzer", "difficulty": "compositional", "question_hash": "1957c8801436", "stage1_target": "[{\"tool\": \"graph_extractor\", \"parameters\": {\"graph_type\": \"CDFG\"}}, {\"tool\": \"static_analyzer\", \"parameters\": {\"analysis_type\": \"full\"}}]", "stage2_context": "Question: For timer_cntrl, how does the structure in its CDFG compare with the code complexity measured on the source? Specifically, how many mux and register (adffe) nodes does the CDFG have next to the module's cyclomatic complexity and nesting depth, and do the port counts in the two analyses agree?\n\n[graph_extractor {\"graph_type\": \"CDFG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"CDFG\",\n...[10948 chars elided]...\n \"node_count\": 29,\n \"edge_count\": 54,\n \"graph_properties\": {\n \"node_types\": {\n \"$logic_and\": 2,\n \"$logic_not\": 2,\n \"$adffe\": 2,\n \"$reduce_bool\": 2,\n \"$mux\": 7,\n \"port_input\": 8,\n \"port_output\": 6\n },\n \"avg_degree\": 1.86,\n \"module_name\": \"timer_cntrl\"\n },\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"timer_cntrl\",\n \"port_count\": {\n \"inputs\": 8,\n \"outputs\": 6,\n \"inouts\": 0,\n \"total\": 14\n },\n \"signal_count\": {\n \"wires\": 11,\n \"regs\": 5,\n \"parameters\": 0,\n \"total\": 16\n },\n \"always_blocks\": 2,\n \"assign_statements\": 3,\n \"instantiations\": [\n \"proc_r_active\",\n \"proc_sm\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 48,\n \"total_lines\": 72,\n \"cyclomatic_complexity\": 13,\n \"nesting_depth\": 6,\n \"operator_count\": 58\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "plan_id": "70452144ae74", "design_id": "a2217c393792", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/riscv-mcu/e203_hbirdv2", "commit": "9f3e34f337f5d0a1236a285871ffa2032491617a", "path": "rtl/e203/perips/apb_adv_timer/timer_cntrl.v", "sha256": "dc2aa8d94308cd7b196a0e0f2568bc3215809149dfa0f895f87ded666c3de656"}} {"question": "For nv_ram_rws_32x16, how well do the RTL signals line up with the netlist, and what does the DFG of the design show about how much of its structure is DFT/black-box wrapper cells versus actual RAM logic?", "answer": "The RTL-to-netlist alignment score is 58.59: 58 of 99 RTL signals are mapped, while 41 are unmapped, including the shadow_mem rows and disable_clear_mem. The DFG agrees with this. It has 83 nodes and 251 edges, but only 1 node is nv_ram_rws_32x16_logic, while the rest are wrapper cells: 27 AN2D4PO4, 27 NV_BLKBOX_SRC0_X, 17 NV_BLKBOX_SINK and 3 NV_BLKBOX_SRC0.", "source_file": "github_repos/nvdla_hw/vmod/rams/synth/nv_ram_rws_32x16.v", "module_name": "nv_ram_rws_32x16", "tool_name": "cross_stage_mapper+graph_extractor", "tool_parameters": [{}, {"graph_type": "DFG"}], "tool_result": "[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"shadow_mem_row21\": [],\n \"mbist_en_sync\": [\n \"mbist_en_sync\",\n \"pre_mbist_en_sync\"\n ],\n \"di\": [\n \"di\"\n ],\n \"row\": [],\n \"mbist_ce_r0\": [\n \"mbist_ce_r0\",\n \"pre_mbist_ce_r0\"\n ],\n \"shadow_mem_row29\": [],\n \"shadow_mem_row5\": [],\n \"shadow_mem_row8\": [],\n \"ra\": [\n \"pre_mbist_ramaccess_rst_\",\n \"ra\",\n \"pre_scan_\n...[4396 chars elided]...\n\"pre_mbist_Wa_w0_4\",\n \"pre_mbist_Wa_w0_3\",\n \"pre_mbist_Wa_w0_2\",\n \"pre_mbist_Wa_w0_1\"\n ],\n \"iddq_mode\": [\n \"pre_iddq_mode\",\n \"iddq_mode\"\n ],\n \"shadow_mem_row0\": []\n },\n \"alignment_score\": 58.59,\n \"unmapped_elements\": [\n \"shadow_mem_row21\",\n \"row\",\n \"shadow_mem_row29\",\n \"shadow_mem_row5\",\n \"shadow_mem_row8\",\n \"string\",\n \"shadow_mem_row20\",\n \"shadow_mem\",\n \"shadow_mem_row6\",\n \"shadow_mem_row19\",\n \"shadow_mem_row17\",\n \"shadow_mem_row13\",\n \"integer\",\n \"shadow_mem_row23\",\n \"disable_clear_mem\",\n \"shadow_mem_row18\",\n \"shadow_mem_row14\",\n \"shadow_mem_row1\",\n \"shadow_mem_row25\",\n \"shadow_mem_row2\"\n ],\n \"mapping_statistics\": {\n \"rtl_signals\": 99,\n \"netlist_wires\": 57,\n \"netlist_cells\": 0,\n \"mapped_signals\": 58,\n \"unmapped_signals\": 41\n },\n \"error\": null\n}\n\n[graph_extractor {\"graph_type\": \"DFG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"DFG\",\n...[39837 chars elided]...\n \"node_count\": 83,\n \"edge_count\": 251,\n \"graph_properties\": {\n \"node_types\": {\n \"NV_BLKBOX_SRC0\": 3,\n \"AN2D4PO4\": 27,\n \"nv_ram_rws_32x16_logic\": 1,\n \"NV_BLKBOX_SRC0_X\": 27,\n \"NV_BLKBOX_SINK\": 17,\n \"port_input\": 7,\n \"port_output\": 1\n },\n \"avg_degree\": 3.02,\n \"module_name\": \"nv_ram_rws_32x16\"\n },\n \"error\": null\n}", "category": "multi_tool", "subcategory": "cross_stage_mapper+graph_extractor", "difficulty": "compositional", "question_hash": "c8805e61f46c", "stage1_target": "[{\"tool\": \"cross_stage_mapper\", \"parameters\": {}}, {\"tool\": \"graph_extractor\", \"parameters\": {\"graph_type\": \"DFG\"}}]", "stage2_context": "Question: For nv_ram_rws_32x16, how well do the RTL signals line up with the netlist, and what does the DFG of the design show about how much of its structure is DFT/black-box wrapper cells versus actual RAM logic?\n\n[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"shadow_mem_row21\": [],\n \"mbist_en_sync\": [\n \"mbist_en_sync\",\n \"pre_mbist_en_sync\"\n ],\n \"di\": [\n \"di\"\n ],\n \"row\": [],\n \"mbist_ce_r0\": [\n \"mbist_ce_r0\",\n \"pre_mbist_ce_r0\"\n ],\n \"shadow_mem_row29\": [],\n \"shadow_mem_row5\": [],\n \"shadow_mem_row8\": [],\n \"ra\": [\n \"pre_mbist_ramaccess_rst_\",\n \"ra\",\n \"pre_scan_\n...[4396 chars elided]...\n\"pre_mbist_Wa_w0_4\",\n \"pre_mbist_Wa_w0_3\",\n \"pre_mbist_Wa_w0_2\",\n \"pre_mbist_Wa_w0_1\"\n ],\n \"iddq_mode\": [\n \"pre_iddq_mode\",\n \"iddq_mode\"\n ],\n \"shadow_mem_row0\": []\n },\n \"alignment_score\": 58.59,\n \"unmapped_elements\": [\n \"shadow_mem_row21\",\n \"row\",\n \"shadow_mem_row29\",\n \"shadow_mem_row5\",\n \"shadow_mem_row8\",\n \"string\",\n \"shadow_mem_row20\",\n \"shadow_mem\",\n \"shadow_mem_row6\",\n \"shadow_mem_row19\",\n \"shadow_mem_row17\",\n \"shadow_mem_row13\",\n \"integer\",\n \"shadow_mem_row23\",\n \"disable_clear_mem\",\n \"shadow_mem_row18\",\n \"shadow_mem_row14\",\n \"shadow_mem_row1\",\n \"shadow_mem_row25\",\n \"shadow_mem_row2\"\n ],\n \"mapping_statistics\": {\n \"rtl_signals\": 99,\n \"netlist_wires\": 57,\n \"netlist_cells\": 0,\n \"mapped_signals\": 58,\n \"unmapped_signals\": 41\n },\n \"error\": null\n}\n\n[graph_extractor {\"graph_type\": \"DFG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"DFG\",\n...[39837 chars elided]...\n \"node_count\": 83,\n \"edge_count\": 251,\n \"graph_properties\": {\n \"node_types\": {\n \"NV_BLKBOX_SRC0\": 3,\n \"AN2D4PO4\": 27,\n \"nv_ram_rws_32x16_logic\": 1,\n \"NV_BLKBOX_SRC0_X\": 27,\n \"NV_BLKBOX_SINK\": 17,\n \"port_input\": 7,\n \"port_output\": 1\n },\n \"avg_degree\": 3.02,\n \"module_name\": \"nv_ram_rws_32x16\"\n },\n \"error\": null\n}", "plan_id": "8961f626bbb7", "design_id": "a23f1aecf34c", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/nvdla/hw", "commit": "8e06b1b9d85aab65b40d43d08eec5ea4681ff715", "path": "vmod/rams/synth/nv_ram_rws_32x16.v", "sha256": "7937430cdf48d84a19ef0bf304ce3f324bc7e4cdcb6e41274024a416f402db44"}} {"question": "The top module's DFG has 3 DFF_X1 registers. If I optimize top for power with clock gating, is that a good fit for these registers, and what is the expected power change compared with the area and delay cost?", "answer": "Clock gating is a good fit for top: its DFG has 3 DFF_X1 registers (along with 1 BUF_X1 and 1 AND2_X1), and clock gating targets exactly those registers. The power-targeted optimization estimates a -25.0 power change, but area and delay each get worse by 5.0, which matches the noted trade-off that power optimization may add area overhead.", "source_file": "github_repos/The-OpenROAD-Project_OpenROAD/src/dbSta/test/power1.v", "module_name": "top", "tool_name": "graph_extractor+optimization_advisor", "tool_parameters": [{"graph_type": "DFG"}, {"target_metric": "power"}], "tool_result": "[graph_extractor {\"graph_type\": \"DFG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"DFG\",\n...[1764 chars elided]...\n \"node_count\": 11,\n \"edge_count\": 14,\n \"graph_properties\": {\n \"node_types\": {\n \"DFF_X1\": 3,\n \"BUF_X1\": 1,\n \"AND2_X1\": 1,\n \"port_input\": 5,\n \"port_output\": 1\n },\n \"avg_degree\": 1.27,\n \"module_name\": \"top\"\n },\n \"error\": null\n}\n\n[optimization_advisor {\"target_metric\": \"power\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"power\",\n \"recommended_recipes\": [\n \"synth -top top\",\n \"opt; share; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean; clockgate\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"clock_gating\",\n \"description\": \"Insert clock gating for registers\",\n \"command\": \"clockgate\"\n },\n {\n \"type\": \"operand_isolation\",\n \"description\": \"Isolate operands when not in use\",\n \"command\": \"Use enable signals for arithmetic\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": 5.0,\n \"delay\": 5.0,\n \"power\": -25.0\n },\n \"trade_offs\": [\n \"Power optimization may add area overhead\",\n \"Clock gating adds timing complexity\"\n ],\n \"error\": null\n}", "category": "multi_tool", "subcategory": "graph_extractor+optimization_advisor", "difficulty": "compositional", "question_hash": "0615820980b8", "stage1_target": "[{\"tool\": \"graph_extractor\", \"parameters\": {\"graph_type\": \"DFG\"}}, {\"tool\": \"optimization_advisor\", \"parameters\": {\"target_metric\": \"power\"}}]", "stage2_context": "Question: The top module's DFG has 3 DFF_X1 registers. If I optimize top for power with clock gating, is that a good fit for these registers, and what is the expected power change compared with the area and delay cost?\n\n[graph_extractor {\"graph_type\": \"DFG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"DFG\",\n...[1764 chars elided]...\n \"node_count\": 11,\n \"edge_count\": 14,\n \"graph_properties\": {\n \"node_types\": {\n \"DFF_X1\": 3,\n \"BUF_X1\": 1,\n \"AND2_X1\": 1,\n \"port_input\": 5,\n \"port_output\": 1\n },\n \"avg_degree\": 1.27,\n \"module_name\": \"top\"\n },\n \"error\": null\n}\n\n[optimization_advisor {\"target_metric\": \"power\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"power\",\n \"recommended_recipes\": [\n \"synth -top top\",\n \"opt; share; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean; clockgate\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"clock_gating\",\n \"description\": \"Insert clock gating for registers\",\n \"command\": \"clockgate\"\n },\n {\n \"type\": \"operand_isolation\",\n \"description\": \"Isolate operands when not in use\",\n \"command\": \"Use enable signals for arithmetic\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": 5.0,\n \"delay\": 5.0,\n \"power\": -25.0\n },\n \"trade_offs\": [\n \"Power optimization may add area overhead\",\n \"Clock gating adds timing complexity\"\n ],\n \"error\": null\n}", "plan_id": "a860743edf03", "design_id": "a2737d6c19f0", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/The-OpenROAD-Project/OpenROAD", "commit": "3e3e483a4e3f98e2b5470b272040699de6dedbee", "path": "src/dbSta/test/power1.v", "sha256": "291f806f4331dd3e6c3f9a47f2a495118238b9ad9313086554839b1357816103"}} {"question": "For the RAMDP_256X8_GL_M2_E2 module, its CDFG contains a large number of $dlatch storage elements. Given that, how realistic is a delay-targeted optimization that suggests pipelining arithmetic operations, and what delay improvement and area cost does that delay optimization estimate?", "answer": "The CDFG for RAMDP_256X8_GL_M2_E2 has 7045 nodes and is mostly storage and decode logic: 2054 $dlatch, 2049 $reduce_or, 2070 $and and 510 $eq cells, with no arithmetic operators, so the suggestion to pipeline arithmetic operations has little to act on and duplicating logic to cut fanout (splitnets -driver) fits the wide decode better. The delay-targeted optimization estimates a delay change of -20.0 in exchange for an area increase of 10.0 and a power increase of 5.0.", "source_file": "github_repos/nvdla_hw/vmod/rams/model/RAMDP_256X8_GL_M2_E2.v", "module_name": "RAMDP_256X8_GL_M2_E2", "tool_name": "graph_extractor+optimization_advisor", "tool_parameters": [{"graph_type": "CDFG"}, {"target_metric": "delay"}], "tool_result": "[graph_extractor {\"graph_type\": \"CDFG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"CDFG\",\n...[60426 chars elided]...\n \"node_count\": 7045,\n \"edge_count\": 30353,\n \"graph_properties\": {\n \"node_types\": {\n \"$and\": 2070,\n \"$logic_and\": 8,\n \"$not\": 269,\n \"$reduce_or\": 2049,\n \"$dlatch\": 2054,\n \"$eq\": 510,\n \"$logic_not\": 7,\n \"$pmux\": 1,\n \"port_input\": 61,\n \"port_output\": 10,\n \"RAM_BANK_RAMDP_256X8_GL_M2_E2\": 1,\n \"$or\": 2,\n \"$mux\": 2,\n \"$paramod$784be44fc09e40a04dd30a6ae61fe42422718d53\\\\vram_RAMDP_256X8_GL_M2_E2\": 1\n },\n \"avg_degree\": 4.31,\n \"module_name\": \"RAMDP_256X8_GL_M2_E2\"\n },\n \"error\": null\n}\n\n[optimization_advisor {\"target_metric\": \"delay\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"delay\",\n \"recommended_recipes\": [\n \"synth -top RAMDP_256X8_GL_M2_E2\",\n \"opt -fast\",\n \"abc -fast -liberty stdcells.lib\",\n \"opt_clean\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"pipeline_insertion\",\n \"description\": \"Consider pipelining arithmetic operations\",\n \"command\": \"Use register retiming\"\n },\n {\n \"type\": \"logic_duplication\",\n \"description\": \"Duplicate logic to reduce fanout\",\n \"command\": \"splitnets -driver\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": 10.0,\n \"delay\": -20.0,\n \"power\": 5.0\n },\n \"trade_offs\": [\n \"Speed optimization increases area\",\n \"Higher power consumption\"\n ],\n \"error\": null\n}", "category": "multi_tool", "subcategory": "graph_extractor+optimization_advisor", "difficulty": "compositional", "question_hash": "799d122093db", "stage1_target": "[{\"tool\": \"graph_extractor\", \"parameters\": {\"graph_type\": \"CDFG\"}}, {\"tool\": \"optimization_advisor\", \"parameters\": {\"target_metric\": \"delay\"}}]", "stage2_context": "Question: For the RAMDP_256X8_GL_M2_E2 module, its CDFG contains a large number of $dlatch storage elements. Given that, how realistic is a delay-targeted optimization that suggests pipelining arithmetic operations, and what delay improvement and area cost does that delay optimization estimate?\n\n[graph_extractor {\"graph_type\": \"CDFG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"CDFG\",\n...[60426 chars elided]...\n \"node_count\": 7045,\n \"edge_count\": 30353,\n \"graph_properties\": {\n \"node_types\": {\n \"$and\": 2070,\n \"$logic_and\": 8,\n \"$not\": 269,\n \"$reduce_or\": 2049,\n \"$dlatch\": 2054,\n \"$eq\": 510,\n \"$logic_not\": 7,\n \"$pmux\": 1,\n \"port_input\": 61,\n \"port_output\": 10,\n \"RAM_BANK_RAMDP_256X8_GL_M2_E2\": 1,\n \"$or\": 2,\n \"$mux\": 2,\n \"$paramod$784be44fc09e40a04dd30a6ae61fe42422718d53\\\\vram_RAMDP_256X8_GL_M2_E2\": 1\n },\n \"avg_degree\": 4.31,\n \"module_name\": \"RAMDP_256X8_GL_M2_E2\"\n },\n \"error\": null\n}\n\n[optimization_advisor {\"target_metric\": \"delay\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"delay\",\n \"recommended_recipes\": [\n \"synth -top RAMDP_256X8_GL_M2_E2\",\n \"opt -fast\",\n \"abc -fast -liberty stdcells.lib\",\n \"opt_clean\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"pipeline_insertion\",\n \"description\": \"Consider pipelining arithmetic operations\",\n \"command\": \"Use register retiming\"\n },\n {\n \"type\": \"logic_duplication\",\n \"description\": \"Duplicate logic to reduce fanout\",\n \"command\": \"splitnets -driver\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": 10.0,\n \"delay\": -20.0,\n \"power\": 5.0\n },\n \"trade_offs\": [\n \"Speed optimization increases area\",\n \"Higher power consumption\"\n ],\n \"error\": null\n}", "plan_id": "cb1a11fe0569", "design_id": "a3355aab41f2", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/nvdla/hw", "commit": "8e06b1b9d85aab65b40d43d08eec5ea4681ff715", "path": "vmod/rams/model/RAMDP_256X8_GL_M2_E2.v", "sha256": "d5d6d7dd086eaf51b56d2918ae2080de01095aa3eca8422a9852a1558f30019d"}} {"question": "For the p_SSYNC3DO_S_PPP synchronizer module, how many registers does it have and does it instantiate any submodules? Given that, does the suggested power optimization plan make sense, including its estimated power change and what it costs in area?", "answer": "p_SSYNC3DO_S_PPP has 1 reg, 1 always block and one instantiation (first_stage_of_sync), with a cyclomatic complexity of 4. That makes clock gating (the 'clockgate' command) the most relevant power suggestion. The estimated power change is -25.0, but it comes with an area overhead of 5.0 and a delay overhead of 5.0, and clock gating in a synchronizer adds timing complexity.", "source_file": "github_repos/nvdla_hw/vmod/vlibs/p_SSYNC3DO_S_PPP.v", "module_name": "p_SSYNC3DO_S_PPP", "tool_name": "optimization_advisor+static_analyzer", "tool_parameters": [{"target_metric": "power"}, {"analysis_type": "full"}], "tool_result": "[optimization_advisor {\"target_metric\": \"power\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"power\",\n \"recommended_recipes\": [\n \"synth -top p_SSYNC3DO_S_PPP\",\n \"opt; share; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean; clockgate\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"clock_gating\",\n \"description\": \"Insert clock gating for registers\",\n \"command\": \"clockgate\"\n },\n {\n \"type\": \"operand_isolation\",\n \"description\": \"Isolate operands when not in use\",\n \"command\": \"Use enable signals for arithmetic\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": 5.0,\n \"delay\": 5.0,\n \"power\": -25.0\n },\n \"trade_offs\": [\n \"Power optimization may add area overhead\",\n \"Clock gating adds timing complexity\"\n ],\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"p_SSYNC3DO_S_PPP\",\n \"port_count\": {\n \"inputs\": 3,\n \"outputs\": 1,\n \"inouts\": 0,\n \"total\": 4\n },\n \"signal_count\": {\n \"wires\": 0,\n \"regs\": 1,\n \"parameters\": 1,\n \"total\": 1\n },\n \"always_blocks\": 1,\n \"assign_statements\": 0,\n \"instantiations\": [\n \"first_stage_of_sync\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 23,\n \"total_lines\": 43,\n \"cyclomatic_complexity\": 4,\n \"nesting_depth\": 1,\n \"operator_count\": 194\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "category": "multi_tool", "subcategory": "optimization_advisor+static_analyzer", "difficulty": "compositional", "question_hash": "1eec7c1529a2", "stage1_target": "[{\"tool\": \"optimization_advisor\", \"parameters\": {\"target_metric\": \"power\"}}, {\"tool\": \"static_analyzer\", \"parameters\": {\"analysis_type\": \"full\"}}]", "stage2_context": "Question: For the p_SSYNC3DO_S_PPP synchronizer module, how many registers does it have and does it instantiate any submodules? Given that, does the suggested power optimization plan make sense, including its estimated power change and what it costs in area?\n\n[optimization_advisor {\"target_metric\": \"power\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"power\",\n \"recommended_recipes\": [\n \"synth -top p_SSYNC3DO_S_PPP\",\n \"opt; share; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean; clockgate\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"clock_gating\",\n \"description\": \"Insert clock gating for registers\",\n \"command\": \"clockgate\"\n },\n {\n \"type\": \"operand_isolation\",\n \"description\": \"Isolate operands when not in use\",\n \"command\": \"Use enable signals for arithmetic\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": 5.0,\n \"delay\": 5.0,\n \"power\": -25.0\n },\n \"trade_offs\": [\n \"Power optimization may add area overhead\",\n \"Clock gating adds timing complexity\"\n ],\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"p_SSYNC3DO_S_PPP\",\n \"port_count\": {\n \"inputs\": 3,\n \"outputs\": 1,\n \"inouts\": 0,\n \"total\": 4\n },\n \"signal_count\": {\n \"wires\": 0,\n \"regs\": 1,\n \"parameters\": 1,\n \"total\": 1\n },\n \"always_blocks\": 1,\n \"assign_statements\": 0,\n \"instantiations\": [\n \"first_stage_of_sync\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 23,\n \"total_lines\": 43,\n \"cyclomatic_complexity\": 4,\n \"nesting_depth\": 1,\n \"operator_count\": 194\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "plan_id": "dcf04dc131ef", "design_id": "a445d3234df7", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/nvdla/hw", "commit": "8e06b1b9d85aab65b40d43d08eec5ea4681ff715", "path": "vmod/vlibs/p_SSYNC3DO_S_PPP.v", "sha256": "0dbd83682036e00bb97aa92d713a8da5baba38d7f1824c93568d2da8ba82dbce"}} {"question": "In the CDFG of RAMDP_32X16_GL_M1_E2, how much storage is built from latches, and given that, how promising is an area-targeted optimization flow that relies on memory inference and aggressive sharing? What area improvement is expected, and at what delay cost?", "answer": "The CDFG for RAMDP_32X16_GL_M1_E2 has 1799 nodes, including 518 $dlatch cells, 542 $and cells and 513 $reduce_or cells. This large latch-based storage array is exactly what the suggested 'memory -nomap; memory_bram' memory inference and 'share -aggressive' passes target. The area-targeted flow estimates a -15.0 area improvement in exchange for a 5.0 delay penalty, and also warns that aggressive sharing increases routing complexity.", "source_file": "github_repos/nvdla_hw/vmod/rams/model/RAMDP_32X16_GL_M1_E2.v", "module_name": "RAMDP_32X16_GL_M1_E2", "tool_name": "graph_extractor+optimization_advisor", "tool_parameters": [{"graph_type": "CDFG"}, {"target_metric": "area"}], "tool_result": "[graph_extractor {\"graph_type\": \"CDFG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"CDFG\",\n...[60974 chars elided]...\n \"node_count\": 1799,\n \"edge_count\": 6551,\n \"graph_properties\": {\n \"node_types\": {\n \"$and\": 542,\n \"$logic_and\": 16,\n \"$not\": 53,\n \"$reduce_or\": 513,\n \"$dlatch\": 518,\n \"$eq\": 62,\n \"$logic_not\": 7,\n \"$pmux\": 1,\n \"port_input\": 63,\n \"port_output\": 18,\n \"RAM_BANK_RAMDP_32X16_GL_M1_E2\": 1,\n \"$or\": 2,\n \"$mux\": 2,\n \"$paramod$9ea5d1dc322e3bf1533a60ad85c3474a08c39955\\\\vram_RAMDP_32X16_GL_M1_E2\": 1\n },\n \"avg_degree\": 3.64,\n \"module_name\": \"RAMDP_32X16_GL_M1_E2\"\n },\n \"error\": null\n}\n\n[optimization_advisor {\"target_metric\": \"area\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"area\",\n \"recommended_recipes\": [\n \"synth -top RAMDP_32X16_GL_M1_E2 -flatten\",\n \"opt -full; share -aggressive; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean -purge\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"memory_optimization\",\n \"description\": \"Consider using memory inference for large arrays\",\n \"command\": \"memory -nomap; memory_bram\"\n },\n {\n \"type\": \"mux_optimization\",\n \"description\": \"Share multiplexers where possible\",\n \"command\": \"muxcover; opt\"\n },\n {\n \"type\": \"resource_sharing\",\n \"description\": \"Share arithmetic operators\",\n \"command\": \"share -aggressive\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": -15.0,\n \"delay\": 5.0,\n \"power\": -10.0\n },\n \"trade_offs\": [\n \"Area optimization may increase delay\",\n \"Aggressive sharing increases routing complexity\"\n ],\n \"error\": null\n}", "category": "multi_tool", "subcategory": "graph_extractor+optimization_advisor", "difficulty": "compositional", "question_hash": "259691f53a8b", "stage1_target": "[{\"tool\": \"graph_extractor\", \"parameters\": {\"graph_type\": \"CDFG\"}}, {\"tool\": \"optimization_advisor\", \"parameters\": {\"target_metric\": \"area\"}}]", "stage2_context": "Question: In the CDFG of RAMDP_32X16_GL_M1_E2, how much storage is built from latches, and given that, how promising is an area-targeted optimization flow that relies on memory inference and aggressive sharing? What area improvement is expected, and at what delay cost?\n\n[graph_extractor {\"graph_type\": \"CDFG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"CDFG\",\n...[60974 chars elided]...\n \"node_count\": 1799,\n \"edge_count\": 6551,\n \"graph_properties\": {\n \"node_types\": {\n \"$and\": 542,\n \"$logic_and\": 16,\n \"$not\": 53,\n \"$reduce_or\": 513,\n \"$dlatch\": 518,\n \"$eq\": 62,\n \"$logic_not\": 7,\n \"$pmux\": 1,\n \"port_input\": 63,\n \"port_output\": 18,\n \"RAM_BANK_RAMDP_32X16_GL_M1_E2\": 1,\n \"$or\": 2,\n \"$mux\": 2,\n \"$paramod$9ea5d1dc322e3bf1533a60ad85c3474a08c39955\\\\vram_RAMDP_32X16_GL_M1_E2\": 1\n },\n \"avg_degree\": 3.64,\n \"module_name\": \"RAMDP_32X16_GL_M1_E2\"\n },\n \"error\": null\n}\n\n[optimization_advisor {\"target_metric\": \"area\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"area\",\n \"recommended_recipes\": [\n \"synth -top RAMDP_32X16_GL_M1_E2 -flatten\",\n \"opt -full; share -aggressive; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean -purge\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"memory_optimization\",\n \"description\": \"Consider using memory inference for large arrays\",\n \"command\": \"memory -nomap; memory_bram\"\n },\n {\n \"type\": \"mux_optimization\",\n \"description\": \"Share multiplexers where possible\",\n \"command\": \"muxcover; opt\"\n },\n {\n \"type\": \"resource_sharing\",\n \"description\": \"Share arithmetic operators\",\n \"command\": \"share -aggressive\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": -15.0,\n \"delay\": 5.0,\n \"power\": -10.0\n },\n \"trade_offs\": [\n \"Area optimization may increase delay\",\n \"Aggressive sharing increases routing complexity\"\n ],\n \"error\": null\n}", "plan_id": "bd46f2ee6eaf", "design_id": "a57f0dc10d05", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/nvdla/hw", "commit": "8e06b1b9d85aab65b40d43d08eec5ea4681ff715", "path": "vmod/rams/model/RAMDP_32X16_GL_M1_E2.v", "sha256": "4379b402cd19ff2e5b97e8248bd54adb13dba6fa85625e05289e8fb63ae3150b"}} {"question": "For the ice40_pll module, I'm looking at an area-targeted optimization flow. The code is small, with 1 always block and a cyclomatic complexity of 4. Given that, is the estimated area improvement worth what it costs in delay and power, and which recipe step is likely to do the most work?", "answer": "ice40_pll is a compact module: 36 lines of code, 3 total ports, 1 always block, cyclomatic complexity 4 and no lint warnings. Against that, the area-targeted flow estimates an area change of -15.0 and a delay change of 5.0. With so little logic, the main step is \"opt -full; share -aggressive; opt\", but its gain may be small next to the warned delay increase and routing complexity.", "source_file": "github_repos/olofk_serv/servant/ice40_pll.v", "module_name": "ice40_pll", "tool_name": "optimization_advisor+static_analyzer", "tool_parameters": [{"target_metric": "area"}, {"analysis_type": "full"}], "tool_result": "[optimization_advisor {\"target_metric\": \"area\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"area\",\n \"recommended_recipes\": [\n \"synth -top ice40_pll -flatten\",\n \"opt -full; share -aggressive; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean -purge\"\n ],\n \"optimization_suggestions\": [],\n \"estimated_improvement\": {\n \"area\": -15.0,\n \"delay\": 5.0,\n \"power\": -10.0\n },\n \"trade_offs\": [\n \"Area optimization may increase delay\",\n \"Aggressive sharing increases routing complexity\"\n ],\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"ice40_pll\",\n \"port_count\": {\n \"inputs\": 1,\n \"outputs\": 2,\n \"inouts\": 0,\n \"total\": 3\n },\n \"signal_count\": {\n \"wires\": 1,\n \"regs\": 1,\n \"parameters\": 1,\n \"total\": 2\n },\n \"always_blocks\": 1,\n \"assign_statements\": 1,\n \"instantiations\": [\n \"generate\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 36,\n \"total_lines\": 41,\n \"cyclomatic_complexity\": 4,\n \"nesting_depth\": 2,\n \"operator_count\": 9\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "category": "multi_tool", "subcategory": "optimization_advisor+static_analyzer", "difficulty": "compositional", "question_hash": "f7d629565b4e", "stage1_target": "[{\"tool\": \"optimization_advisor\", \"parameters\": {\"target_metric\": \"area\"}}, {\"tool\": \"static_analyzer\", \"parameters\": {\"analysis_type\": \"full\"}}]", "stage2_context": "Question: For the ice40_pll module, I'm looking at an area-targeted optimization flow. The code is small, with 1 always block and a cyclomatic complexity of 4. Given that, is the estimated area improvement worth what it costs in delay and power, and which recipe step is likely to do the most work?\n\n[optimization_advisor {\"target_metric\": \"area\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"area\",\n \"recommended_recipes\": [\n \"synth -top ice40_pll -flatten\",\n \"opt -full; share -aggressive; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean -purge\"\n ],\n \"optimization_suggestions\": [],\n \"estimated_improvement\": {\n \"area\": -15.0,\n \"delay\": 5.0,\n \"power\": -10.0\n },\n \"trade_offs\": [\n \"Area optimization may increase delay\",\n \"Aggressive sharing increases routing complexity\"\n ],\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"ice40_pll\",\n \"port_count\": {\n \"inputs\": 1,\n \"outputs\": 2,\n \"inouts\": 0,\n \"total\": 3\n },\n \"signal_count\": {\n \"wires\": 1,\n \"regs\": 1,\n \"parameters\": 1,\n \"total\": 2\n },\n \"always_blocks\": 1,\n \"assign_statements\": 1,\n \"instantiations\": [\n \"generate\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 36,\n \"total_lines\": 41,\n \"cyclomatic_complexity\": 4,\n \"nesting_depth\": 2,\n \"operator_count\": 9\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "plan_id": "f4f2bb09bc79", "design_id": "a61b454ec8c7", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/olofk/serv", "commit": "f200eb2ed7b69ac1c6b8eddd47654522aeee5ce8", "path": "servant/ice40_pll.v", "sha256": "5381cd11c3786125fbd4e05806b16caa1f4baed2b425bd596826b83e4dd2fe40"}} {"question": "For NV_NVDLA_ssync3d, a power-targeted optimization pass recommends inserting clock gating and estimates a power change. Given the module's actual structure, is clock gating at this level likely to deliver that saving, or would it have to happen somewhere else?", "answer": "The power-targeted pass suggests the `clockgate` step and estimates a power change of -25.0, with area and delay each changing by 5.0. However, NV_NVDLA_ssync3d has 0 regs, 0 always blocks and only 2 assign statements, and its only instantiation is `p_STRICTSYNC3DOTM`. Any clock-gating saving would therefore have to come from the registers inside that synchronizer cell, not from this wrapper.", "source_file": "github_repos/nvdla_hw/vmod/nvdla/car/NV_NVDLA_ssync3d.v", "module_name": "NV_NVDLA_ssync3d", "tool_name": "optimization_advisor+static_analyzer", "tool_parameters": [{"target_metric": "power"}, {"analysis_type": "full"}], "tool_result": "[optimization_advisor {\"target_metric\": \"power\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"power\",\n \"recommended_recipes\": [\n \"synth -top NV_NVDLA_ssync3d\",\n \"opt; share; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean; clockgate\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"clock_gating\",\n \"description\": \"Insert clock gating for registers\",\n \"command\": \"clockgate\"\n },\n {\n \"type\": \"operand_isolation\",\n \"description\": \"Isolate operands when not in use\",\n \"command\": \"Use enable signals for arithmetic\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": 5.0,\n \"delay\": 5.0,\n \"power\": -25.0\n },\n \"trade_offs\": [\n \"Power optimization may add area overhead\",\n \"Clock gating adds timing complexity\"\n ],\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"NV_NVDLA_ssync3d\",\n \"port_count\": {\n \"inputs\": 3,\n \"outputs\": 1,\n \"inouts\": 0,\n \"total\": 4\n },\n \"signal_count\": {\n \"wires\": 3,\n \"regs\": 0,\n \"parameters\": 0,\n \"total\": 3\n },\n \"always_blocks\": 0,\n \"assign_statements\": 2,\n \"instantiations\": [\n \"p_STRICTSYNC3DOTM\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 25,\n \"total_lines\": 45,\n \"cyclomatic_complexity\": 2,\n \"nesting_depth\": 0,\n \"operator_count\": 151\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "category": "multi_tool", "subcategory": "optimization_advisor+static_analyzer", "difficulty": "compositional", "question_hash": "e26c9147c250", "stage1_target": "[{\"tool\": \"optimization_advisor\", \"parameters\": {\"target_metric\": \"power\"}}, {\"tool\": \"static_analyzer\", \"parameters\": {\"analysis_type\": \"full\"}}]", "stage2_context": "Question: For NV_NVDLA_ssync3d, a power-targeted optimization pass recommends inserting clock gating and estimates a power change. Given the module's actual structure, is clock gating at this level likely to deliver that saving, or would it have to happen somewhere else?\n\n[optimization_advisor {\"target_metric\": \"power\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"power\",\n \"recommended_recipes\": [\n \"synth -top NV_NVDLA_ssync3d\",\n \"opt; share; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean; clockgate\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"clock_gating\",\n \"description\": \"Insert clock gating for registers\",\n \"command\": \"clockgate\"\n },\n {\n \"type\": \"operand_isolation\",\n \"description\": \"Isolate operands when not in use\",\n \"command\": \"Use enable signals for arithmetic\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": 5.0,\n \"delay\": 5.0,\n \"power\": -25.0\n },\n \"trade_offs\": [\n \"Power optimization may add area overhead\",\n \"Clock gating adds timing complexity\"\n ],\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"NV_NVDLA_ssync3d\",\n \"port_count\": {\n \"inputs\": 3,\n \"outputs\": 1,\n \"inouts\": 0,\n \"total\": 4\n },\n \"signal_count\": {\n \"wires\": 3,\n \"regs\": 0,\n \"parameters\": 0,\n \"total\": 3\n },\n \"always_blocks\": 0,\n \"assign_statements\": 2,\n \"instantiations\": [\n \"p_STRICTSYNC3DOTM\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 25,\n \"total_lines\": 45,\n \"cyclomatic_complexity\": 2,\n \"nesting_depth\": 0,\n \"operator_count\": 151\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "plan_id": "42a91c35dba2", "design_id": "a595cd23c0b9", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/nvdla/hw", "commit": "8e06b1b9d85aab65b40d43d08eec5ea4681ff715", "path": "vmod/nvdla/car/NV_NVDLA_ssync3d.v", "sha256": "d6aec3128068314c492c2f476ee4ce41a60cbe43865d9b18e510dcf8d2c0eef9"}} {"question": "For the gcd module, does the CDFG agree with the static structural analysis on the port interface? Also, how much sequential state does the design hold, given that the source has no always blocks or reg declarations?", "answer": "Yes, they agree. The CDFG has 5 port_input and 3 port_output nodes, and the static analysis also counts 5 inputs and 3 outputs. gcd is a flattened gate-level netlist with 0 always blocks, 0 regs, 252 wires and a cyclomatic complexity of 1, so its state comes from the 35 sky130_fd_sc_hs__dfxtp_1 flip-flop cells in the CDFG, not from behavioral registers.", "source_file": "github_repos/The-OpenROAD-Project_OpenROAD/test/gcd_sky130hs.v", "module_name": "gcd", "tool_name": "graph_extractor+static_analyzer", "tool_parameters": [{"graph_type": "CDFG"}, {"analysis_type": "full"}], "tool_result": "[graph_extractor {\"graph_type\": \"CDFG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"CDFG\",\n...[40710 chars elided]...\nxor2_1\": 7,\n \"sky130_fd_sc_hs__clkinv_1\": 1,\n \"sky130_fd_sc_hs__nor4_1\": 4,\n \"sky130_fd_sc_hs__nand4_1\": 5,\n \"sky130_fd_sc_hs__clkbuf_2\": 6,\n \"sky130_fd_sc_hs__o2bb2ai_1\": 1,\n \"sky130_fd_sc_hs__o31ai_1\": 1,\n \"sky130_fd_sc_hs__or2_1\": 1,\n \"sky130_fd_sc_hs__nor3_4\": 1,\n \"sky130_fd_sc_hs__a21oi_4\": 2,\n \"sky130_fd_sc_hs__nand3_4\": 1,\n \"sky130_fd_sc_hs__nor2_8\": 1,\n \"sky130_fd_sc_hs__inv_4\": 1,\n \"sky130_fd_sc_hs__buf_16\": 1,\n \"sky130_fd_sc_hs__buf_2\": 1,\n \"sky130_fd_sc_hs__a22oi_1\": 23,\n \"sky130_fd_sc_hs__o21ai_2\": 10,\n \"sky130_fd_sc_hs__clkbuf_4\": 1,\n \"sky130_fd_sc_hs__o211ai_1\": 8,\n \"sky130_fd_sc_hs__a22o_1\": 1,\n \"sky130_fd_sc_hs__dfxtp_1\": 35,\n \"port_input\": 5,\n \"port_output\": 3\n },\n \"avg_degree\": 3.22,\n \"module_name\": \"gcd\"\n },\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"gcd\",\n \"port_count\": {\n \"inputs\": 5,\n \"outputs\": 3,\n \"inouts\": 0,\n \"total\": 8\n },\n \"signal_count\": {\n \"wires\": 252,\n \"regs\": 0,\n \"parameters\": 0,\n \"total\": 252\n },\n \"always_blocks\": 0,\n \"assign_statements\": 0,\n \"instantiations\": [\n \"sky130_fd_sc_hs__xnor2_2\",\n \"sky130_fd_sc_hs__a21oi_1\",\n \"sky130_fd_sc_hs__and2_1\",\n \"sky130_fd_sc_hs__xnor2_1\",\n \"sky130_fd_sc_hs__nor2_4\",\n \"sky130_fd_sc_hs__inv_2\",\n \"sky130_fd_sc_hs__nand2_2\",\n \"sky130_fd_sc_hs__maj3_1\",\n \"sky130_fd_sc_hs__clkbuf_2\",\n \"sky130_fd_sc_hs__nand3_1\",\n \"sky130_fd_sc_hs__clkbuf_4\",\n \"sky130_fd_sc_hs__dfxtp_1\",\n \"sky130_fd_sc_hs__o21a_1\",\n \"sky130_fd_sc_hs__o21ai_4\",\n \"sky130_fd_sc_hs__nor2_1\",\n \"sky130_fd_sc_hs__o2bb2ai_1\",\n \"sky130_fd_sc_hs__a21boi_1\",\n \"sky130_fd_sc_hs__o21ai_2\",\n \"sky130_fd_sc_hs__o21ai_1\",\n \"sky130_fd_sc_hs__nand3_4\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 1910,\n \"total_lines\": 1912,\n \"cyclomatic_complexity\": 1,\n \"nesting_depth\": 0,\n \"operator_count\": 7\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "category": "multi_tool", "subcategory": "graph_extractor+static_analyzer", "difficulty": "compositional", "question_hash": "3717d1526835", "stage1_target": "[{\"tool\": \"graph_extractor\", \"parameters\": {\"graph_type\": \"CDFG\"}}, {\"tool\": \"static_analyzer\", \"parameters\": {\"analysis_type\": \"full\"}}]", "stage2_context": "Question: For the gcd module, does the CDFG agree with the static structural analysis on the port interface? Also, how much sequential state does the design hold, given that the source has no always blocks or reg declarations?\n\n[graph_extractor {\"graph_type\": \"CDFG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"CDFG\",\n...[40710 chars elided]...\nxor2_1\": 7,\n \"sky130_fd_sc_hs__clkinv_1\": 1,\n \"sky130_fd_sc_hs__nor4_1\": 4,\n \"sky130_fd_sc_hs__nand4_1\": 5,\n \"sky130_fd_sc_hs__clkbuf_2\": 6,\n \"sky130_fd_sc_hs__o2bb2ai_1\": 1,\n \"sky130_fd_sc_hs__o31ai_1\": 1,\n \"sky130_fd_sc_hs__or2_1\": 1,\n \"sky130_fd_sc_hs__nor3_4\": 1,\n \"sky130_fd_sc_hs__a21oi_4\": 2,\n \"sky130_fd_sc_hs__nand3_4\": 1,\n \"sky130_fd_sc_hs__nor2_8\": 1,\n \"sky130_fd_sc_hs__inv_4\": 1,\n \"sky130_fd_sc_hs__buf_16\": 1,\n \"sky130_fd_sc_hs__buf_2\": 1,\n \"sky130_fd_sc_hs__a22oi_1\": 23,\n \"sky130_fd_sc_hs__o21ai_2\": 10,\n \"sky130_fd_sc_hs__clkbuf_4\": 1,\n \"sky130_fd_sc_hs__o211ai_1\": 8,\n \"sky130_fd_sc_hs__a22o_1\": 1,\n \"sky130_fd_sc_hs__dfxtp_1\": 35,\n \"port_input\": 5,\n \"port_output\": 3\n },\n \"avg_degree\": 3.22,\n \"module_name\": \"gcd\"\n },\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"gcd\",\n \"port_count\": {\n \"inputs\": 5,\n \"outputs\": 3,\n \"inouts\": 0,\n \"total\": 8\n },\n \"signal_count\": {\n \"wires\": 252,\n \"regs\": 0,\n \"parameters\": 0,\n \"total\": 252\n },\n \"always_blocks\": 0,\n \"assign_statements\": 0,\n \"instantiations\": [\n \"sky130_fd_sc_hs__xnor2_2\",\n \"sky130_fd_sc_hs__a21oi_1\",\n \"sky130_fd_sc_hs__and2_1\",\n \"sky130_fd_sc_hs__xnor2_1\",\n \"sky130_fd_sc_hs__nor2_4\",\n \"sky130_fd_sc_hs__inv_2\",\n \"sky130_fd_sc_hs__nand2_2\",\n \"sky130_fd_sc_hs__maj3_1\",\n \"sky130_fd_sc_hs__clkbuf_2\",\n \"sky130_fd_sc_hs__nand3_1\",\n \"sky130_fd_sc_hs__clkbuf_4\",\n \"sky130_fd_sc_hs__dfxtp_1\",\n \"sky130_fd_sc_hs__o21a_1\",\n \"sky130_fd_sc_hs__o21ai_4\",\n \"sky130_fd_sc_hs__nor2_1\",\n \"sky130_fd_sc_hs__o2bb2ai_1\",\n \"sky130_fd_sc_hs__a21boi_1\",\n \"sky130_fd_sc_hs__o21ai_2\",\n \"sky130_fd_sc_hs__o21ai_1\",\n \"sky130_fd_sc_hs__nand3_4\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 1910,\n \"total_lines\": 1912,\n \"cyclomatic_complexity\": 1,\n \"nesting_depth\": 0,\n \"operator_count\": 7\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "plan_id": "6ca5fe3cade8", "design_id": "a712e07a79f1", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/The-OpenROAD-Project/OpenROAD", "commit": "3e3e483a4e3f98e2b5470b272040699de6dedbee", "path": "test/gcd_sky130hs.v", "sha256": "352a127b1d610ce99863cf32014fbf8cce9b68f0d98d350a532a70be086830f7"}} {"question": "For serv_rf_ram, the current medium-effort synthesis comes out at 8 cells, including 2 $_SDFF_PN0_ flip-flops, with a power estimate of 0.008. If I follow the power-targeted optimization plan and add clock gating, what power and area changes should I expect, and is it worth doing for a design this small?", "answer": "Synthesis gives serv_rf_ram an area of 8.0, power of 0.008, a delay of 93.3, and only 2 $_SDFF_PN0_ registers. The power-targeted plan recommends 'clockgate' and estimates a power change of -25.0 at the cost of +5.0 area and +5.0 delay. With only 2 flip-flops to gate, the clock-gating overhead and the extra timing complexity may outweigh the savings on a power figure that is already this small.", "source_file": "github_repos/olofk_serv/rtl/serv_rf_ram.v", "module_name": "serv_rf_ram", "tool_name": "optimization_advisor+synthesis_tool", "tool_parameters": [{"target_metric": "power"}, {"optimization_level": "medium"}], "tool_result": "[optimization_advisor {\"target_metric\": \"power\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"power\",\n \"recommended_recipes\": [\n \"synth -top serv_rf_ram\",\n \"opt; share; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean; clockgate\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"clock_gating\",\n \"description\": \"Insert clock gating for registers\",\n \"command\": \"clockgate\"\n },\n {\n \"type\": \"operand_isolation\",\n \"description\": \"Isolate operands when not in use\",\n \"command\": \"Use enable signals for arithmetic\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": 5.0,\n \"delay\": 5.0,\n \"power\": -25.0\n },\n \"trade_offs\": [\n \"Power optimization may add area overhead\",\n \"Clock gating adds timing complexity\"\n ],\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 8.0,\n \"delay\": 93.3,\n \"power\": 0.008,\n \"gate_count\": 8,\n \"cell_breakdown\": {\n \"$_AND_\": 4,\n \"$_SDFF_PN0_\": 2,\n \"$memrd\": 1,\n \"$memwr_v2\": 1\n },\n \"wire_count\": 12,\n \"wire_bits\": 20,\n \"critical_path_estimate\": 93.3,\n...[1141 chars elided]...\n \"error\": null\n}", "category": "multi_tool", "subcategory": "optimization_advisor+synthesis_tool", "difficulty": "compositional", "question_hash": "cb00fa2f0bff", "stage1_target": "[{\"tool\": \"optimization_advisor\", \"parameters\": {\"target_metric\": \"power\"}}, {\"tool\": \"synthesis_tool\", \"parameters\": {\"optimization_level\": \"medium\"}}]", "stage2_context": "Question: For serv_rf_ram, the current medium-effort synthesis comes out at 8 cells, including 2 $_SDFF_PN0_ flip-flops, with a power estimate of 0.008. If I follow the power-targeted optimization plan and add clock gating, what power and area changes should I expect, and is it worth doing for a design this small?\n\n[optimization_advisor {\"target_metric\": \"power\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"power\",\n \"recommended_recipes\": [\n \"synth -top serv_rf_ram\",\n \"opt; share; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean; clockgate\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"clock_gating\",\n \"description\": \"Insert clock gating for registers\",\n \"command\": \"clockgate\"\n },\n {\n \"type\": \"operand_isolation\",\n \"description\": \"Isolate operands when not in use\",\n \"command\": \"Use enable signals for arithmetic\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": 5.0,\n \"delay\": 5.0,\n \"power\": -25.0\n },\n \"trade_offs\": [\n \"Power optimization may add area overhead\",\n \"Clock gating adds timing complexity\"\n ],\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 8.0,\n \"delay\": 93.3,\n \"power\": 0.008,\n \"gate_count\": 8,\n \"cell_breakdown\": {\n \"$_AND_\": 4,\n \"$_SDFF_PN0_\": 2,\n \"$memrd\": 1,\n \"$memwr_v2\": 1\n },\n \"wire_count\": 12,\n \"wire_bits\": 20,\n \"critical_path_estimate\": 93.3,\n...[1141 chars elided]...\n \"error\": null\n}", "plan_id": "4f27c7122cb8", "design_id": "a7df993e55ad", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/olofk/serv", "commit": "f200eb2ed7b69ac1c6b8eddd47654522aeee5ce8", "path": "rtl/serv_rf_ram.v", "sha256": "779ad3243dfa648f276240d260ff4ac1a1e83cc1364afb93d40c586905ce4338"}} {"question": "In the CDFG of NV_NVDLA_CACC_CALC_fp_48b, how many multiplexers and arithmetic adder/subtractor nodes are there, and given those counts, how much area reduction does the area-targeted optimization estimate from mux and operator sharing, and what does it cost in delay?", "answer": "The CDFG for NV_NVDLA_CACC_CALC_fp_48b has 34 $mux nodes, 9 $add nodes and 6 $sub nodes, which are what the 'muxcover; opt' and 'share -aggressive' steps act on. The area-targeted optimization estimates a -15.0 change in area and -10.0 in power, but delay gets worse by 5.0, since area optimization may increase delay.", "source_file": "github_repos/nvdla_hw/vmod/nvdla/cacc/NV_NVDLA_CACC_CALC_fp_48b.v", "module_name": "NV_NVDLA_CACC_CALC_fp_48b", "tool_name": "graph_extractor+optimization_advisor", "tool_parameters": [{"graph_type": "CDFG"}, {"target_metric": "area"}], "tool_result": "[graph_extractor {\"graph_type\": \"CDFG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"CDFG\",\n...[58592 chars elided]...\n \"node_count\": 131,\n \"edge_count\": 5253,\n \"graph_properties\": {\n \"node_types\": {\n \"$mux\": 34,\n \"$and\": 15,\n \"$reduce_or\": 9,\n \"$reduce_and\": 6,\n \"$or\": 3,\n \"$add\": 9,\n \"$sub\": 6,\n \"$sshl\": 2,\n \"$sshr\": 4,\n \"$ge\": 2,\n \"$gt\": 1,\n \"$lt\": 1,\n \"$not\": 7,\n \"$dffe\": 9,\n \"$adff\": 10,\n \"DW_lsd\": 2,\n \"port_input\": 7,\n \"port_output\": 4\n },\n \"avg_degree\": 40.1,\n \"module_name\": \"NV_NVDLA_CACC_CALC_fp_48b\"\n },\n \"error\": null\n}\n\n[optimization_advisor {\"target_metric\": \"area\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"area\",\n \"recommended_recipes\": [\n \"synth -top NV_NVDLA_CACC_CALC_fp_48b -flatten\",\n \"opt -full; share -aggressive; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean -purge\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"mux_optimization\",\n \"description\": \"Share multiplexers where possible\",\n \"command\": \"muxcover; opt\"\n },\n {\n \"type\": \"resource_sharing\",\n \"description\": \"Share arithmetic operators\",\n \"command\": \"share -aggressive\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": -15.0,\n \"delay\": 5.0,\n \"power\": -10.0\n },\n \"trade_offs\": [\n \"Area optimization may increase delay\",\n \"Aggressive sharing increases routing complexity\"\n ],\n \"error\": null\n}", "category": "multi_tool", "subcategory": "graph_extractor+optimization_advisor", "difficulty": "compositional", "question_hash": "a4b9c4c0d28e", "stage1_target": "[{\"tool\": \"graph_extractor\", \"parameters\": {\"graph_type\": \"CDFG\"}}, {\"tool\": \"optimization_advisor\", \"parameters\": {\"target_metric\": \"area\"}}]", "stage2_context": "Question: In the CDFG of NV_NVDLA_CACC_CALC_fp_48b, how many multiplexers and arithmetic adder/subtractor nodes are there, and given those counts, how much area reduction does the area-targeted optimization estimate from mux and operator sharing, and what does it cost in delay?\n\n[graph_extractor {\"graph_type\": \"CDFG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"CDFG\",\n...[58592 chars elided]...\n \"node_count\": 131,\n \"edge_count\": 5253,\n \"graph_properties\": {\n \"node_types\": {\n \"$mux\": 34,\n \"$and\": 15,\n \"$reduce_or\": 9,\n \"$reduce_and\": 6,\n \"$or\": 3,\n \"$add\": 9,\n \"$sub\": 6,\n \"$sshl\": 2,\n \"$sshr\": 4,\n \"$ge\": 2,\n \"$gt\": 1,\n \"$lt\": 1,\n \"$not\": 7,\n \"$dffe\": 9,\n \"$adff\": 10,\n \"DW_lsd\": 2,\n \"port_input\": 7,\n \"port_output\": 4\n },\n \"avg_degree\": 40.1,\n \"module_name\": \"NV_NVDLA_CACC_CALC_fp_48b\"\n },\n \"error\": null\n}\n\n[optimization_advisor {\"target_metric\": \"area\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"area\",\n \"recommended_recipes\": [\n \"synth -top NV_NVDLA_CACC_CALC_fp_48b -flatten\",\n \"opt -full; share -aggressive; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean -purge\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"mux_optimization\",\n \"description\": \"Share multiplexers where possible\",\n \"command\": \"muxcover; opt\"\n },\n {\n \"type\": \"resource_sharing\",\n \"description\": \"Share arithmetic operators\",\n \"command\": \"share -aggressive\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": -15.0,\n \"delay\": 5.0,\n \"power\": -10.0\n },\n \"trade_offs\": [\n \"Area optimization may increase delay\",\n \"Aggressive sharing increases routing complexity\"\n ],\n \"error\": null\n}", "plan_id": "f94f07f30bdb", "design_id": "a90bcdc187fc", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/nvdla/hw", "commit": "8e06b1b9d85aab65b40d43d08eec5ea4681ff715", "path": "vmod/nvdla/cacc/NV_NVDLA_CACC_CALC_fp_48b.v", "sha256": "ef3dbfb8b56f4359f6554af9e3c07e3b47b87423b255c17aaedeeb0dc94b7028"}} {"question": "For the macro_only module, its AIG comes out completely empty. Given that, how much should I trust the delay-targeted optimization plan, which recommends fanout-reducing logic duplication and estimates the improvements?", "answer": "The AIG for macro_only has a node_count of 0 and an edge_count of 0, so the module has no gate-level logic that logic duplication (splitnets -driver) or an abc -fast remap could work on. That means the estimated delay improvement of -20.0, along with its area cost of 10.0 and power cost of 5.0, is most likely a generic projection and not something you'd see in this macro-only design.", "source_file": "github_repos/The-OpenROAD-Project_OpenROAD/src/mpl/test/testcases/macro_only.v", "module_name": "macro_only", "tool_name": "graph_extractor+optimization_advisor", "tool_parameters": [{"graph_type": "AIG"}, {"target_metric": "delay"}], "tool_result": "[graph_extractor {\"graph_type\": \"AIG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"AIG\",\n \"node_count\": 0,\n \"edge_count\": 0,\n \"graph_properties\": {\n \"node_types\": {},\n \"avg_degree\": 0.0,\n \"module_name\": \"macro_only\"\n },\n \"error\": null\n}\n\n[optimization_advisor {\"target_metric\": \"delay\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"delay\",\n \"recommended_recipes\": [\n \"synth -top macro_only\",\n \"opt -fast\",\n \"abc -fast -liberty stdcells.lib\",\n \"opt_clean\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"logic_duplication\",\n \"description\": \"Duplicate logic to reduce fanout\",\n \"command\": \"splitnets -driver\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": 10.0,\n \"delay\": -20.0,\n \"power\": 5.0\n },\n \"trade_offs\": [\n \"Speed optimization increases area\",\n \"Higher power consumption\"\n ],\n \"error\": null\n}", "category": "multi_tool", "subcategory": "graph_extractor+optimization_advisor", "difficulty": "compositional", "question_hash": "bc8a0dcedd26", "stage1_target": "[{\"tool\": \"graph_extractor\", \"parameters\": {\"graph_type\": \"AIG\"}}, {\"tool\": \"optimization_advisor\", \"parameters\": {\"target_metric\": \"delay\"}}]", "stage2_context": "Question: For the macro_only module, its AIG comes out completely empty. Given that, how much should I trust the delay-targeted optimization plan, which recommends fanout-reducing logic duplication and estimates the improvements?\n\n[graph_extractor {\"graph_type\": \"AIG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"AIG\",\n \"node_count\": 0,\n \"edge_count\": 0,\n \"graph_properties\": {\n \"node_types\": {},\n \"avg_degree\": 0.0,\n \"module_name\": \"macro_only\"\n },\n \"error\": null\n}\n\n[optimization_advisor {\"target_metric\": \"delay\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"delay\",\n \"recommended_recipes\": [\n \"synth -top macro_only\",\n \"opt -fast\",\n \"abc -fast -liberty stdcells.lib\",\n \"opt_clean\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"logic_duplication\",\n \"description\": \"Duplicate logic to reduce fanout\",\n \"command\": \"splitnets -driver\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": 10.0,\n \"delay\": -20.0,\n \"power\": 5.0\n },\n \"trade_offs\": [\n \"Speed optimization increases area\",\n \"Higher power consumption\"\n ],\n \"error\": null\n}", "plan_id": "f31fb646bbe9", "design_id": "aa6c8c0bea9f", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/The-OpenROAD-Project/OpenROAD", "commit": "3e3e483a4e3f98e2b5470b272040699de6dedbee", "path": "src/mpl/test/testcases/macro_only.v", "sha256": "4aeeeab9e4e2101169863faac5272fc739023375a1b22b3352467ca2b3c807dd"}} {"question": "For NV_NVDLA_SDP_NRDMA_gate, the RTL has 11 always blocks, 12 regs and a cyclomatic complexity of 63, but how much logic does it actually turn into after medium-effort synthesis? Does that support the idea that most of the source is verification or testpoint scaffolding around a single clock-gating cell?", "answer": "Yes. Although NV_NVDLA_SDP_NRDMA_gate has 315 lines of code, 11 always blocks and instantiation entries such as HAS_RETENTION_TESTPOINT_GOAL_0 and COVER_PRINT_TESTPOINT_HITS, synthesis reduces it to only 7 cells: a single $_DFF_PN0_, 2 $_NAND_, 1 $_NOR_, 1 $_NOT_, 1 $_OR_ and one NV_CLK_gate_power instance. That gives an area of 6.5 and a delay of 74.27, so almost all of the source is non-synthesizable testpoint and coverage code wrapped around one clock-gating cell.", "source_file": "github_repos/nvdla_hw/vmod/nvdla/sdp/NV_NVDLA_SDP_NRDMA_gate.v", "module_name": "NV_NVDLA_SDP_NRDMA_gate", "tool_name": "static_analyzer+synthesis_tool", "tool_parameters": [{"analysis_type": "full"}, {"optimization_level": "medium"}], "tool_result": "[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"NV_NVDLA_SDP_NRDMA_gate\",\n \"port_count\": {\n \"inputs\": 7,\n \"outputs\": 1,\n \"inouts\": 0,\n \"total\": 8\n },\n \"signal_count\": {\n \"wires\": 12,\n \"regs\": 12,\n \"parameters\": 0,\n \"total\": 24\n },\n \"always_blocks\": 11,\n \"assign_statements\": 5,\n \"instantiations\": [\n \"ASSOCIATE_TESTPOINT_NAME_GOAL_NUMBER\",\n \"SIMTOP_EOS_SIGNAL\",\n \"endif\",\n \"NV_CLK_gate_power\",\n \"FV_COVER_ON\",\n \"HAS_RETENTION_TESTPOINT_GOAL_0\",\n \"HAS_RETENTION_TESTPOINT_RESET_0\",\n \"COVER_PRINT_TESTPOINT_HITS\",\n \"HAS_RETENTION_TESTPOINT_RESET_1\",\n \"HAS_RETENTION_TESTPOINT_GOAL_1\",\n \"system_verilog_testpoint\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 315,\n \"total_lines\": 449,\n \"cyclomatic_complexity\": 63,\n \"nesting_depth\": 41,\n \"operator_count\": 669\n },\n \"lint_warnings\": [],\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 6.5,\n \"delay\": 74.27,\n \"power\": 0.007,\n \"gate_count\": 7,\n \"cell_breakdown\": {\n \"$_DFF_PN0_\": 1,\n \"$_NAND_\": 2,\n \"$_NOR_\": 1,\n \"$_NOT_\": 1,\n \"$_OR_\": 1,\n \"NV_CLK_gate_power\": 1\n },\n \"wire_count\": 14,\n \"wire_bits\": 14,\n \"critical_path_estimate\": 74.27,\n...[1193 chars elided]...\n \"error\": null\n}", "category": "multi_tool", "subcategory": "static_analyzer+synthesis_tool", "difficulty": "compositional", "question_hash": "5fbf0fd754b4", "stage1_target": "[{\"tool\": \"static_analyzer\", \"parameters\": {\"analysis_type\": \"full\"}}, {\"tool\": \"synthesis_tool\", \"parameters\": {\"optimization_level\": \"medium\"}}]", "stage2_context": "Question: For NV_NVDLA_SDP_NRDMA_gate, the RTL has 11 always blocks, 12 regs and a cyclomatic complexity of 63, but how much logic does it actually turn into after medium-effort synthesis? Does that support the idea that most of the source is verification or testpoint scaffolding around a single clock-gating cell?\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"NV_NVDLA_SDP_NRDMA_gate\",\n \"port_count\": {\n \"inputs\": 7,\n \"outputs\": 1,\n \"inouts\": 0,\n \"total\": 8\n },\n \"signal_count\": {\n \"wires\": 12,\n \"regs\": 12,\n \"parameters\": 0,\n \"total\": 24\n },\n \"always_blocks\": 11,\n \"assign_statements\": 5,\n \"instantiations\": [\n \"ASSOCIATE_TESTPOINT_NAME_GOAL_NUMBER\",\n \"SIMTOP_EOS_SIGNAL\",\n \"endif\",\n \"NV_CLK_gate_power\",\n \"FV_COVER_ON\",\n \"HAS_RETENTION_TESTPOINT_GOAL_0\",\n \"HAS_RETENTION_TESTPOINT_RESET_0\",\n \"COVER_PRINT_TESTPOINT_HITS\",\n \"HAS_RETENTION_TESTPOINT_RESET_1\",\n \"HAS_RETENTION_TESTPOINT_GOAL_1\",\n \"system_verilog_testpoint\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 315,\n \"total_lines\": 449,\n \"cyclomatic_complexity\": 63,\n \"nesting_depth\": 41,\n \"operator_count\": 669\n },\n \"lint_warnings\": [],\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 6.5,\n \"delay\": 74.27,\n \"power\": 0.007,\n \"gate_count\": 7,\n \"cell_breakdown\": {\n \"$_DFF_PN0_\": 1,\n \"$_NAND_\": 2,\n \"$_NOR_\": 1,\n \"$_NOT_\": 1,\n \"$_OR_\": 1,\n \"NV_CLK_gate_power\": 1\n },\n \"wire_count\": 14,\n \"wire_bits\": 14,\n \"critical_path_estimate\": 74.27,\n...[1193 chars elided]...\n \"error\": null\n}", "plan_id": "66b3ac6acb2a", "design_id": "aa8eaf7fb5e9", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/nvdla/hw", "commit": "8e06b1b9d85aab65b40d43d08eec5ea4681ff715", "path": "vmod/nvdla/sdp/NV_NVDLA_SDP_NRDMA_gate.v", "sha256": "b83ec625dc915c5e6fae37bee81a77d5144d9bc3e4ec89d4a1b2751a95669291"}} {"question": "For RAMPDP_60X168_GL_M1_D2, how does the storage seen in the CDFG compare with the storage cells after medium-effort synthesis, and do the latch counts help explain the synthesized area and gate count?", "answer": "The CDFG for RAMPDP_60X168_GL_M1_D2 has only 65 $dlatch nodes and 2 $dff nodes among its 802 nodes. Medium-effort synthesis splits these into 10080 $_DLATCH_N_ cells, 178 $_DLATCH_P_ cells and 175 $_DFF_P_ cells. Most of the 30959 gates and the 31740.5 area therefore come from the bit-level latch array that stores the memory contents.", "source_file": "github_repos/nvdla_hw/vmod/rams/model/RAMPDP_60X168_GL_M1_D2.v", "module_name": "RAMPDP_60X168_GL_M1_D2", "tool_name": "graph_extractor+synthesis_tool", "tool_parameters": [{"graph_type": "CDFG"}, {"optimization_level": "medium"}], "tool_result": "[graph_extractor {\"graph_type\": \"CDFG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"CDFG\",\n...[57138 chars elided]...\n \"node_count\": 802,\n \"edge_count\": 37348,\n \"graph_properties\": {\n \"node_types\": {\n \"$not\": 74,\n \"$reduce_or\": 60,\n \"$and\": 84,\n \"$dlatch\": 65,\n \"$eq\": 118,\n \"$pmux\": 1,\n \"$logic_not\": 6,\n \"port_input\": 218,\n \"port_output\": 170,\n \"RAM_BANK_RAMPDP_60X168_GL_M1_D2\": 1,\n \"$or\": 2,\n \"$dff\": 2,\n \"$paramod$b862dfc26172d47860031f785da63a7eb4bb77a0\\\\RAMPDP_60X168_GL_M1_D2_ram\": 1\n },\n \"avg_degree\": 46.57,\n \"module_name\": \"RAMPDP_60X168_GL_M1_D2\"\n },\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 31740.5,\n \"delay\": 395.12,\n \"power\": 30.959,\n \"gate_count\": 30959,\n \"cell_breakdown\": {\n \"$_ANDNOT_\": 168,\n \"$_AND_\": 7,\n \"$_DLATCH_N_\": 10080,\n \"$_NAND_\": 1,\n \"$_NOR_\": 3,\n \"$_DFF_P_\": 175,\n \"$_DLATCH_P_\": 178,\n \"$_NOT_\": 3,\n \"$paramod$b862dfc26172d47860031f785da63a7eb4bb77a0\\\\RAMPDP_60X168_GL_M1_D2_ram\": 1,\n \"RAM_BANK_RAMPDP_60X168_GL_M1_D2\": 1\n },\n \"wire_count\n...[1393 chars elided]...\n \"error\": null\n}", "category": "multi_tool", "subcategory": "graph_extractor+synthesis_tool", "difficulty": "compositional", "question_hash": "639d2c765fb5", "stage1_target": "[{\"tool\": \"graph_extractor\", \"parameters\": {\"graph_type\": \"CDFG\"}}, {\"tool\": \"synthesis_tool\", \"parameters\": {\"optimization_level\": \"medium\"}}]", "stage2_context": "Question: For RAMPDP_60X168_GL_M1_D2, how does the storage seen in the CDFG compare with the storage cells after medium-effort synthesis, and do the latch counts help explain the synthesized area and gate count?\n\n[graph_extractor {\"graph_type\": \"CDFG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"CDFG\",\n...[57138 chars elided]...\n \"node_count\": 802,\n \"edge_count\": 37348,\n \"graph_properties\": {\n \"node_types\": {\n \"$not\": 74,\n \"$reduce_or\": 60,\n \"$and\": 84,\n \"$dlatch\": 65,\n \"$eq\": 118,\n \"$pmux\": 1,\n \"$logic_not\": 6,\n \"port_input\": 218,\n \"port_output\": 170,\n \"RAM_BANK_RAMPDP_60X168_GL_M1_D2\": 1,\n \"$or\": 2,\n \"$dff\": 2,\n \"$paramod$b862dfc26172d47860031f785da63a7eb4bb77a0\\\\RAMPDP_60X168_GL_M1_D2_ram\": 1\n },\n \"avg_degree\": 46.57,\n \"module_name\": \"RAMPDP_60X168_GL_M1_D2\"\n },\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 31740.5,\n \"delay\": 395.12,\n \"power\": 30.959,\n \"gate_count\": 30959,\n \"cell_breakdown\": {\n \"$_ANDNOT_\": 168,\n \"$_AND_\": 7,\n \"$_DLATCH_N_\": 10080,\n \"$_NAND_\": 1,\n \"$_NOR_\": 3,\n \"$_DFF_P_\": 175,\n \"$_DLATCH_P_\": 178,\n \"$_NOT_\": 3,\n \"$paramod$b862dfc26172d47860031f785da63a7eb4bb77a0\\\\RAMPDP_60X168_GL_M1_D2_ram\": 1,\n \"RAM_BANK_RAMPDP_60X168_GL_M1_D2\": 1\n },\n \"wire_count\n...[1393 chars elided]...\n \"error\": null\n}", "plan_id": "0cc24f1ab496", "design_id": "ac8c58c1138b", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/nvdla/hw", "commit": "8e06b1b9d85aab65b40d43d08eec5ea4681ff715", "path": "vmod/rams/model/RAMPDP_60X168_GL_M1_D2.v", "sha256": "9ac4f7b1208ccf30e91af42f9fc505580be72820ed068f68b46c9fb6d3e40132"}} {"question": "For the module top, I want to confirm it's just a thin wrapper: does the structural view (ports, logic constructs, instantiations) line up with what the medium-effort synthesis reports for cells, wires, area and delay?", "answer": "Yes. Structurally, top has 2 inputs and 1 output, with 0 always blocks and 0 assign statements, and its only instantiation is bus4. That matches synthesis, which reports a gate_count of 1 (a single bus4 cell), 3 wires carrying 9 bits, an area of 1.0 and a delay of 50.0, so all of the logic sits inside the bus4 instance.", "source_file": "github_repos/The-OpenROAD-Project_OpenROAD/src/dbSta/test/bus1.v", "module_name": "top", "tool_name": "static_analyzer+synthesis_tool", "tool_parameters": [{"analysis_type": "full"}, {"optimization_level": "medium"}], "tool_result": "[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"top\",\n \"port_count\": {\n \"inputs\": 2,\n \"outputs\": 1,\n \"inouts\": 0,\n \"total\": 3\n },\n \"signal_count\": {\n \"wires\": 0,\n \"regs\": 0,\n \"parameters\": 0,\n \"total\": 0\n },\n \"always_blocks\": 0,\n \"assign_statements\": 0,\n \"instantiations\": [\n \"bus4\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 6,\n \"total_lines\": 8,\n \"cyclomatic_complexity\": 1,\n \"nesting_depth\": 0,\n \"operator_count\": 0\n },\n \"lint_warnings\": [],\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 1.0,\n \"delay\": 50.0,\n \"power\": 0.001,\n \"gate_count\": 1,\n \"cell_breakdown\": {\n \"bus4\": 1\n },\n \"wire_count\": 3,\n \"wire_bits\": 9,\n \"critical_path_estimate\": 50.0,\n...[1070 chars elided]...\n \"error\": null\n}", "category": "multi_tool", "subcategory": "static_analyzer+synthesis_tool", "difficulty": "compositional", "question_hash": "b15be594e0ce", "stage1_target": "[{\"tool\": \"static_analyzer\", \"parameters\": {\"analysis_type\": \"full\"}}, {\"tool\": \"synthesis_tool\", \"parameters\": {\"optimization_level\": \"medium\"}}]", "stage2_context": "Question: For the module top, I want to confirm it's just a thin wrapper: does the structural view (ports, logic constructs, instantiations) line up with what the medium-effort synthesis reports for cells, wires, area and delay?\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"top\",\n \"port_count\": {\n \"inputs\": 2,\n \"outputs\": 1,\n \"inouts\": 0,\n \"total\": 3\n },\n \"signal_count\": {\n \"wires\": 0,\n \"regs\": 0,\n \"parameters\": 0,\n \"total\": 0\n },\n \"always_blocks\": 0,\n \"assign_statements\": 0,\n \"instantiations\": [\n \"bus4\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 6,\n \"total_lines\": 8,\n \"cyclomatic_complexity\": 1,\n \"nesting_depth\": 0,\n \"operator_count\": 0\n },\n \"lint_warnings\": [],\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 1.0,\n \"delay\": 50.0,\n \"power\": 0.001,\n \"gate_count\": 1,\n \"cell_breakdown\": {\n \"bus4\": 1\n },\n \"wire_count\": 3,\n \"wire_bits\": 9,\n \"critical_path_estimate\": 50.0,\n...[1070 chars elided]...\n \"error\": null\n}", "plan_id": "4692da34880a", "design_id": "add764c170ab", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/The-OpenROAD-Project/OpenROAD", "commit": "3e3e483a4e3f98e2b5470b272040699de6dedbee", "path": "src/dbSta/test/bus1.v", "sha256": "524b2f71ea3cdde1e06a1a7c2ef6743b3564e773607d4bfd535082e2325a4bd7"}} {"question": "For NV_NVDLA_glb, the CDFG has 28 nodes, but only three are submodule instances (csb, fc and ic). If I run an area-targeted optimization flow with aggressive operator sharing, what area and delay change should I expect, and does the graph's connectivity suggest the routing trade-off is a concern?", "answer": "The CDFG for NV_NVDLA_glb has 28 nodes and 351 edges, with an average degree of 12.54. Only 1 instance each of NV_NVDLA_GLB_csb, NV_NVDLA_GLB_fc and NV_NVDLA_GLB_ic appears, alongside 18 input ports and 7 output ports. The area-targeted recipe that uses 'share -aggressive' is estimated to change area by -15.0 and delay by 5.0, and the advisor warns that aggressive sharing increases routing complexity, which is a real concern for a graph this densely connected.", "source_file": "github_repos/nvdla_hw/vmod/nvdla/glb/NV_NVDLA_glb.v", "module_name": "NV_NVDLA_glb", "tool_name": "graph_extractor+optimization_advisor", "tool_parameters": [{"graph_type": "CDFG"}, {"target_metric": "area"}], "tool_result": "[graph_extractor {\"graph_type\": \"CDFG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"CDFG\",\n...[23273 chars elided]...\n \"node_count\": 28,\n \"edge_count\": 351,\n \"graph_properties\": {\n \"node_types\": {\n \"NV_NVDLA_GLB_csb\": 1,\n \"NV_NVDLA_GLB_fc\": 1,\n \"NV_NVDLA_GLB_ic\": 1,\n \"port_input\": 18,\n \"port_output\": 7\n },\n \"avg_degree\": 12.54,\n \"module_name\": \"NV_NVDLA_glb\"\n },\n \"error\": null\n}\n\n[optimization_advisor {\"target_metric\": \"area\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"area\",\n \"recommended_recipes\": [\n \"synth -top NV_NVDLA_glb -flatten\",\n \"opt -full; share -aggressive; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean -purge\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"resource_sharing\",\n \"description\": \"Share arithmetic operators\",\n \"command\": \"share -aggressive\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": -15.0,\n \"delay\": 5.0,\n \"power\": -10.0\n },\n \"trade_offs\": [\n \"Area optimization may increase delay\",\n \"Aggressive sharing increases routing complexity\"\n ],\n \"error\": null\n}", "category": "multi_tool", "subcategory": "graph_extractor+optimization_advisor", "difficulty": "compositional", "question_hash": "b7903ab0b02e", "stage1_target": "[{\"tool\": \"graph_extractor\", \"parameters\": {\"graph_type\": \"CDFG\"}}, {\"tool\": \"optimization_advisor\", \"parameters\": {\"target_metric\": \"area\"}}]", "stage2_context": "Question: For NV_NVDLA_glb, the CDFG has 28 nodes, but only three are submodule instances (csb, fc and ic). If I run an area-targeted optimization flow with aggressive operator sharing, what area and delay change should I expect, and does the graph's connectivity suggest the routing trade-off is a concern?\n\n[graph_extractor {\"graph_type\": \"CDFG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"CDFG\",\n...[23273 chars elided]...\n \"node_count\": 28,\n \"edge_count\": 351,\n \"graph_properties\": {\n \"node_types\": {\n \"NV_NVDLA_GLB_csb\": 1,\n \"NV_NVDLA_GLB_fc\": 1,\n \"NV_NVDLA_GLB_ic\": 1,\n \"port_input\": 18,\n \"port_output\": 7\n },\n \"avg_degree\": 12.54,\n \"module_name\": \"NV_NVDLA_glb\"\n },\n \"error\": null\n}\n\n[optimization_advisor {\"target_metric\": \"area\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"area\",\n \"recommended_recipes\": [\n \"synth -top NV_NVDLA_glb -flatten\",\n \"opt -full; share -aggressive; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean -purge\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"resource_sharing\",\n \"description\": \"Share arithmetic operators\",\n \"command\": \"share -aggressive\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": -15.0,\n \"delay\": 5.0,\n \"power\": -10.0\n },\n \"trade_offs\": [\n \"Area optimization may increase delay\",\n \"Aggressive sharing increases routing complexity\"\n ],\n \"error\": null\n}", "plan_id": "713ebedfc126", "design_id": "aea6a296332e", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/nvdla/hw", "commit": "8e06b1b9d85aab65b40d43d08eec5ea4681ff715", "path": "vmod/nvdla/glb/NV_NVDLA_glb.v", "sha256": "b352af691985f5f024a820ae8cb932f96b0386ff0ff83ae3911c87baa52cfac4"}} {"question": "For the servive_clock_gen module, I'm thinking about applying the power-targeted optimization flow, which adds clock gating. Given how small and simple the design is, is it worth it? What power improvement is estimated, what area penalty comes with it, and how many registers and always blocks would actually be gated?", "answer": "The power-targeted flow estimates a -25.0 power change from inserting clock gating with `clockgate`, with area and delay penalties of 5.0 each. However, servive_clock_gen has only 1 reg and 1 always block in 27 lines of code, with a cyclomatic complexity of 3. With so few registers to gate, the extra area and timing complexity from clock gating may cost more than the saving is worth.", "source_file": "github_repos/olofk_serv/servant/servive_clock_gen.v", "module_name": "servive_clock_gen", "tool_name": "optimization_advisor+static_analyzer", "tool_parameters": [{"target_metric": "power"}, {"analysis_type": "full"}], "tool_result": "[optimization_advisor {\"target_metric\": \"power\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"power\",\n \"recommended_recipes\": [\n \"synth -top servive_clock_gen\",\n \"opt; share; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean; clockgate\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"clock_gating\",\n \"description\": \"Insert clock gating for registers\",\n \"command\": \"clockgate\"\n },\n {\n \"type\": \"operand_isolation\",\n \"description\": \"Isolate operands when not in use\",\n \"command\": \"Use enable signals for arithmetic\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": 5.0,\n \"delay\": 5.0,\n \"power\": -25.0\n },\n \"trade_offs\": [\n \"Power optimization may add area overhead\",\n \"Clock gating adds timing complexity\"\n ],\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"servive_clock_gen\",\n \"port_count\": {\n \"inputs\": 2,\n \"outputs\": 2,\n \"inouts\": 0,\n \"total\": 4\n },\n \"signal_count\": {\n \"wires\": 6,\n \"regs\": 1,\n \"parameters\": 0,\n \"total\": 7\n },\n \"always_blocks\": 1,\n \"assign_statements\": 2,\n \"instantiations\": [],\n \"code_complexity\": {\n \"lines_of_code\": 27,\n \"total_lines\": 35,\n \"cyclomatic_complexity\": 3,\n \"nesting_depth\": 0,\n \"operator_count\": 6\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "category": "multi_tool", "subcategory": "optimization_advisor+static_analyzer", "difficulty": "compositional", "question_hash": "0e64ccea3f38", "stage1_target": "[{\"tool\": \"optimization_advisor\", \"parameters\": {\"target_metric\": \"power\"}}, {\"tool\": \"static_analyzer\", \"parameters\": {\"analysis_type\": \"full\"}}]", "stage2_context": "Question: For the servive_clock_gen module, I'm thinking about applying the power-targeted optimization flow, which adds clock gating. Given how small and simple the design is, is it worth it? What power improvement is estimated, what area penalty comes with it, and how many registers and always blocks would actually be gated?\n\n[optimization_advisor {\"target_metric\": \"power\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"power\",\n \"recommended_recipes\": [\n \"synth -top servive_clock_gen\",\n \"opt; share; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean; clockgate\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"clock_gating\",\n \"description\": \"Insert clock gating for registers\",\n \"command\": \"clockgate\"\n },\n {\n \"type\": \"operand_isolation\",\n \"description\": \"Isolate operands when not in use\",\n \"command\": \"Use enable signals for arithmetic\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": 5.0,\n \"delay\": 5.0,\n \"power\": -25.0\n },\n \"trade_offs\": [\n \"Power optimization may add area overhead\",\n \"Clock gating adds timing complexity\"\n ],\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"servive_clock_gen\",\n \"port_count\": {\n \"inputs\": 2,\n \"outputs\": 2,\n \"inouts\": 0,\n \"total\": 4\n },\n \"signal_count\": {\n \"wires\": 6,\n \"regs\": 1,\n \"parameters\": 0,\n \"total\": 7\n },\n \"always_blocks\": 1,\n \"assign_statements\": 2,\n \"instantiations\": [],\n \"code_complexity\": {\n \"lines_of_code\": 27,\n \"total_lines\": 35,\n \"cyclomatic_complexity\": 3,\n \"nesting_depth\": 0,\n \"operator_count\": 6\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "plan_id": "c234cb94f84f", "design_id": "af62b8d95bc1", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/olofk/serv", "commit": "f200eb2ed7b69ac1c6b8eddd47654522aeee5ce8", "path": "servant/servive_clock_gen.v", "sha256": "0ef30c7eb0133cb8ab02c4e91fad421d40b3f278e390dc8b381de9e59503b5fe"}} {"question": "For e203_ifu, I'm thinking about running an area-targeted optimization flow that uses aggressive resource sharing. Given what the module's structure actually looks like (always blocks, assign statements, submodule instantiations), is the expected area improvement realistic, and what would it cost?", "answer": "The area-targeted flow estimates a -15.0 area change (with a 5.0 delay penalty) from 'share -aggressive', but e203_ifu is mostly a structural wrapper: it has 0 always blocks, 1 assign statement and a cyclomatic complexity of 2, and it instantiates e203_ifu_ift2icb and e203_ifu_ifetch. So any sharing gains will only come after the -flatten step pulls in those submodules, and the trade-off is that aggressive sharing increases routing complexity.", "source_file": "github_repos/riscv-mcu_e203_hbirdv2/rtl/e203/core/e203_ifu.v", "module_name": "e203_ifu", "tool_name": "optimization_advisor+static_analyzer", "tool_parameters": [{"target_metric": "area"}, {"analysis_type": "full"}], "tool_result": "[optimization_advisor {\"target_metric\": \"area\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"area\",\n \"recommended_recipes\": [\n \"synth -top e203_ifu -flatten\",\n \"opt -full; share -aggressive; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean -purge\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"resource_sharing\",\n \"description\": \"Share arithmetic operators\",\n \"command\": \"share -aggressive\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": -15.0,\n \"delay\": 5.0,\n \"power\": -10.0\n },\n \"trade_offs\": [\n \"Area optimization may increase delay\",\n \"Aggressive sharing increases routing complexity\"\n ],\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"e203_ifu\",\n \"port_count\": {\n \"inputs\": 23,\n \"outputs\": 13,\n \"inouts\": 0,\n \"total\": 36\n },\n \"signal_count\": {\n \"wires\": 8,\n \"regs\": 0,\n \"parameters\": 0,\n \"total\": 8\n },\n \"always_blocks\": 0,\n \"assign_statements\": 1,\n \"instantiations\": [\n \"e203_ifu_ift2icb\",\n \"called\",\n \"e203_ifu_ifetch\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 168,\n \"total_lines\": 245,\n \"cyclomatic_complexity\": 2,\n \"nesting_depth\": 0,\n \"operator_count\": 678\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "category": "multi_tool", "subcategory": "optimization_advisor+static_analyzer", "difficulty": "compositional", "question_hash": "6a1a187c45ff", "stage1_target": "[{\"tool\": \"optimization_advisor\", \"parameters\": {\"target_metric\": \"area\"}}, {\"tool\": \"static_analyzer\", \"parameters\": {\"analysis_type\": \"full\"}}]", "stage2_context": "Question: For e203_ifu, I'm thinking about running an area-targeted optimization flow that uses aggressive resource sharing. Given what the module's structure actually looks like (always blocks, assign statements, submodule instantiations), is the expected area improvement realistic, and what would it cost?\n\n[optimization_advisor {\"target_metric\": \"area\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"area\",\n \"recommended_recipes\": [\n \"synth -top e203_ifu -flatten\",\n \"opt -full; share -aggressive; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean -purge\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"resource_sharing\",\n \"description\": \"Share arithmetic operators\",\n \"command\": \"share -aggressive\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": -15.0,\n \"delay\": 5.0,\n \"power\": -10.0\n },\n \"trade_offs\": [\n \"Area optimization may increase delay\",\n \"Aggressive sharing increases routing complexity\"\n ],\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"e203_ifu\",\n \"port_count\": {\n \"inputs\": 23,\n \"outputs\": 13,\n \"inouts\": 0,\n \"total\": 36\n },\n \"signal_count\": {\n \"wires\": 8,\n \"regs\": 0,\n \"parameters\": 0,\n \"total\": 8\n },\n \"always_blocks\": 0,\n \"assign_statements\": 1,\n \"instantiations\": [\n \"e203_ifu_ift2icb\",\n \"called\",\n \"e203_ifu_ifetch\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 168,\n \"total_lines\": 245,\n \"cyclomatic_complexity\": 2,\n \"nesting_depth\": 0,\n \"operator_count\": 678\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "plan_id": "3a0cb0967748", "design_id": "b090acf7afc9", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/riscv-mcu/e203_hbirdv2", "commit": "9f3e34f337f5d0a1236a285871ffa2032491617a", "path": "rtl/e203/core/e203_ifu.v", "sha256": "99ef0b1bce26fb50c287737fd82575c2deec94175847f52d443d88b81dc7a281"}} {"question": "For module top, the AIG graph shows just one BUF_X1 cell plus one submodule instance. If I apply the delay-targeted optimization recommendations, what delay and area change should I expect, and do the suggested techniques actually make sense for a netlist this small?", "answer": "The AIG graph for top has only 7 nodes and 4 edges (one BUF_X1, one MOD instance, avg_degree 0.57), so the netlist is tiny and has no arithmetic. The delay-targeted plan estimates a delay change of -20.0 and an area change of 10.0. Its suggestions, pipeline insertion with register retiming and logic duplication via \"splitnets -driver\", probably won't help much here because there are no arithmetic operations to pipeline and little fanout to reduce.", "source_file": "github_repos/The-OpenROAD-Project_OpenROAD/src/rsz/test/cpp/TestBufferRemoval3_6.v", "module_name": "top", "tool_name": "graph_extractor+optimization_advisor", "tool_parameters": [{"graph_type": "AIG"}, {"target_metric": "delay"}], "tool_result": "[graph_extractor {\"graph_type\": \"AIG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"AIG\",\n...[262 chars elided]...\n \"node_count\": 7,\n \"edge_count\": 4,\n \"graph_properties\": {\n \"node_types\": {\n \"BUF_X1\": 1,\n \"port_input\": 3,\n \"port_output\": 2,\n \"MOD\": 1\n },\n \"avg_degree\": 0.57,\n \"module_name\": \"top\"\n },\n \"error\": null\n}\n\n[optimization_advisor {\"target_metric\": \"delay\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"delay\",\n \"recommended_recipes\": [\n \"synth -top top\",\n \"opt -fast\",\n \"abc -fast -liberty stdcells.lib\",\n \"opt_clean\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"pipeline_insertion\",\n \"description\": \"Consider pipelining arithmetic operations\",\n \"command\": \"Use register retiming\"\n },\n {\n \"type\": \"logic_duplication\",\n \"description\": \"Duplicate logic to reduce fanout\",\n \"command\": \"splitnets -driver\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": 10.0,\n \"delay\": -20.0,\n \"power\": 5.0\n },\n \"trade_offs\": [\n \"Speed optimization increases area\",\n \"Higher power consumption\"\n ],\n \"error\": null\n}", "category": "multi_tool", "subcategory": "graph_extractor+optimization_advisor", "difficulty": "compositional", "question_hash": "ffaae2058832", "stage1_target": "[{\"tool\": \"graph_extractor\", \"parameters\": {\"graph_type\": \"AIG\"}}, {\"tool\": \"optimization_advisor\", \"parameters\": {\"target_metric\": \"delay\"}}]", "stage2_context": "Question: For module top, the AIG graph shows just one BUF_X1 cell plus one submodule instance. If I apply the delay-targeted optimization recommendations, what delay and area change should I expect, and do the suggested techniques actually make sense for a netlist this small?\n\n[graph_extractor {\"graph_type\": \"AIG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"AIG\",\n...[262 chars elided]...\n \"node_count\": 7,\n \"edge_count\": 4,\n \"graph_properties\": {\n \"node_types\": {\n \"BUF_X1\": 1,\n \"port_input\": 3,\n \"port_output\": 2,\n \"MOD\": 1\n },\n \"avg_degree\": 0.57,\n \"module_name\": \"top\"\n },\n \"error\": null\n}\n\n[optimization_advisor {\"target_metric\": \"delay\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"delay\",\n \"recommended_recipes\": [\n \"synth -top top\",\n \"opt -fast\",\n \"abc -fast -liberty stdcells.lib\",\n \"opt_clean\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"pipeline_insertion\",\n \"description\": \"Consider pipelining arithmetic operations\",\n \"command\": \"Use register retiming\"\n },\n {\n \"type\": \"logic_duplication\",\n \"description\": \"Duplicate logic to reduce fanout\",\n \"command\": \"splitnets -driver\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": 10.0,\n \"delay\": -20.0,\n \"power\": 5.0\n },\n \"trade_offs\": [\n \"Speed optimization increases area\",\n \"Higher power consumption\"\n ],\n \"error\": null\n}", "plan_id": "c923902d4534", "design_id": "b15fca6227b7", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/The-OpenROAD-Project/OpenROAD", "commit": "3e3e483a4e3f98e2b5470b272040699de6dedbee", "path": "src/rsz/test/cpp/TestBufferRemoval3_6.v", "sha256": "76d4d05d4de81af95ae0274398e8c6f9e57d1db1be0493df3095c8a4eaefd457"}} {"question": "For module top, the RTL-to-netlist mapping reports 100.0% alignment. How does its cell count compare with the cells shown in the DFG of the same design, and what does that suggest about how much of the logic the mapping actually checked?", "answer": "The RTL-to-netlist mapping matched only 2 RTL signals (in1 and out1) to 5 netlist wires, with an alignment score of 100.0 and 0 netlist cells. The DFG, however, has 6 nodes and 9 edges, including 2 DFF_X1 registers (r1, r2) and 1 AND2_X1 gate (u1). So the 100.0 score covers only the top-level ports, and the registers and the AND gate were not checked by the mapping.", "source_file": "github_repos/The-OpenROAD-Project_OpenROAD/src/dbSta/test/constant1.v", "module_name": "top", "tool_name": "cross_stage_mapper+graph_extractor", "tool_parameters": [{}, {"graph_type": "DFG"}], "tool_result": "[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"in1\": [\n \"in1\"\n ],\n \"out1\": [\n \"out1\"\n ]\n },\n \"alignment_score\": 100.0,\n \"unmapped_elements\": [],\n \"mapping_statistics\": {\n \"rtl_signals\": 2,\n \"netlist_wires\": 5,\n \"netlist_cells\": 0,\n \"mapped_signals\": 2,\n \"unmapped_signals\": 0\n },\n \"error\": null\n}\n\n[graph_extractor {\"graph_type\": \"DFG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"DFG\",\n...[636 chars elided]...\n \"node_count\": 6,\n \"edge_count\": 9,\n \"graph_properties\": {\n \"node_types\": {\n \"DFF_X1\": 2,\n \"AND2_X1\": 1,\n \"port_input\": 2,\n \"port_output\": 1\n },\n \"avg_degree\": 1.5,\n \"module_name\": \"top\"\n },\n \"error\": null\n}", "category": "multi_tool", "subcategory": "cross_stage_mapper+graph_extractor", "difficulty": "compositional", "question_hash": "082894b1ebda", "stage1_target": "[{\"tool\": \"cross_stage_mapper\", \"parameters\": {}}, {\"tool\": \"graph_extractor\", \"parameters\": {\"graph_type\": \"DFG\"}}]", "stage2_context": "Question: For module top, the RTL-to-netlist mapping reports 100.0% alignment. How does its cell count compare with the cells shown in the DFG of the same design, and what does that suggest about how much of the logic the mapping actually checked?\n\n[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"in1\": [\n \"in1\"\n ],\n \"out1\": [\n \"out1\"\n ]\n },\n \"alignment_score\": 100.0,\n \"unmapped_elements\": [],\n \"mapping_statistics\": {\n \"rtl_signals\": 2,\n \"netlist_wires\": 5,\n \"netlist_cells\": 0,\n \"mapped_signals\": 2,\n \"unmapped_signals\": 0\n },\n \"error\": null\n}\n\n[graph_extractor {\"graph_type\": \"DFG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"DFG\",\n...[636 chars elided]...\n \"node_count\": 6,\n \"edge_count\": 9,\n \"graph_properties\": {\n \"node_types\": {\n \"DFF_X1\": 2,\n \"AND2_X1\": 1,\n \"port_input\": 2,\n \"port_output\": 1\n },\n \"avg_degree\": 1.5,\n \"module_name\": \"top\"\n },\n \"error\": null\n}", "plan_id": "46648865e447", "design_id": "b1e49d4b968f", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/The-OpenROAD-Project/OpenROAD", "commit": "3e3e483a4e3f98e2b5470b272040699de6dedbee", "path": "src/dbSta/test/constant1.v", "sha256": "6e9d8457c25e33e09341af101ca2ba8f44aab8e7dfab2daae13a70bf98549bac"}} {"question": "For NV_NVDLA_MCIF_READ_ig, a power-targeted optimization recommends clock gating and estimates a power change. Given how the module is structurally built, would inserting clock gating at this level actually help, and where should the effort go instead?", "answer": "The power-targeted optimization recommends a `clockgate` pass and estimates a -25.0 power change, with 5.0 added area and 5.0 added delay. However, NV_NVDLA_MCIF_READ_ig has 0 regs, 0 always blocks and 0 assign statements, so it is only a wrapper of 36 wires connecting 61 ports to four submodules (NV_NVDLA_MCIF_READ_IG_cvt, _spt, _arb and _bpt). Any clock gating savings would have to come from inside those submodules, not from this level.", "source_file": "github_repos/nvdla_hw/vmod/nvdla/nocif/NV_NVDLA_MCIF_READ_ig.v", "module_name": "NV_NVDLA_MCIF_READ_ig", "tool_name": "optimization_advisor+static_analyzer", "tool_parameters": [{"target_metric": "power"}, {"analysis_type": "full"}], "tool_result": "[optimization_advisor {\"target_metric\": \"power\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"power\",\n \"recommended_recipes\": [\n \"synth -top NV_NVDLA_MCIF_READ_ig\",\n \"opt; share; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean; clockgate\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"clock_gating\",\n \"description\": \"Insert clock gating for registers\",\n \"command\": \"clockgate\"\n },\n {\n \"type\": \"operand_isolation\",\n \"description\": \"Isolate operands when not in use\",\n \"command\": \"Use enable signals for arithmetic\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": 5.0,\n \"delay\": 5.0,\n \"power\": -25.0\n },\n \"trade_offs\": [\n \"Power optimization may add area overhead\",\n \"Clock gating adds timing complexity\"\n ],\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"NV_NVDLA_MCIF_READ_ig\",\n \"port_count\": {\n \"inputs\": 44,\n \"outputs\": 17,\n \"inouts\": 0,\n \"total\": 61\n },\n \"signal_count\": {\n \"wires\": 36,\n \"regs\": 0,\n \"parameters\": 0,\n \"total\": 36\n },\n \"always_blocks\": 0,\n \"assign_statements\": 0,\n \"instantiations\": [\n \"NV_NVDLA_MCIF_READ_IG_cvt\",\n \"NV_NVDLA_MCIF_READ_IG_spt\",\n \"NV_NVDLA_MCIF_READ_IG_arb\",\n \"NV_NVDLA_MCIF_READ_IG_bpt\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 367,\n \"total_lines\": 423,\n \"cyclomatic_complexity\": 2,\n \"nesting_depth\": 0,\n \"operator_count\": 1225\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "category": "multi_tool", "subcategory": "optimization_advisor+static_analyzer", "difficulty": "compositional", "question_hash": "d4c564f9e33a", "stage1_target": "[{\"tool\": \"optimization_advisor\", \"parameters\": {\"target_metric\": \"power\"}}, {\"tool\": \"static_analyzer\", \"parameters\": {\"analysis_type\": \"full\"}}]", "stage2_context": "Question: For NV_NVDLA_MCIF_READ_ig, a power-targeted optimization recommends clock gating and estimates a power change. Given how the module is structurally built, would inserting clock gating at this level actually help, and where should the effort go instead?\n\n[optimization_advisor {\"target_metric\": \"power\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"power\",\n \"recommended_recipes\": [\n \"synth -top NV_NVDLA_MCIF_READ_ig\",\n \"opt; share; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean; clockgate\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"clock_gating\",\n \"description\": \"Insert clock gating for registers\",\n \"command\": \"clockgate\"\n },\n {\n \"type\": \"operand_isolation\",\n \"description\": \"Isolate operands when not in use\",\n \"command\": \"Use enable signals for arithmetic\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": 5.0,\n \"delay\": 5.0,\n \"power\": -25.0\n },\n \"trade_offs\": [\n \"Power optimization may add area overhead\",\n \"Clock gating adds timing complexity\"\n ],\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"NV_NVDLA_MCIF_READ_ig\",\n \"port_count\": {\n \"inputs\": 44,\n \"outputs\": 17,\n \"inouts\": 0,\n \"total\": 61\n },\n \"signal_count\": {\n \"wires\": 36,\n \"regs\": 0,\n \"parameters\": 0,\n \"total\": 36\n },\n \"always_blocks\": 0,\n \"assign_statements\": 0,\n \"instantiations\": [\n \"NV_NVDLA_MCIF_READ_IG_cvt\",\n \"NV_NVDLA_MCIF_READ_IG_spt\",\n \"NV_NVDLA_MCIF_READ_IG_arb\",\n \"NV_NVDLA_MCIF_READ_IG_bpt\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 367,\n \"total_lines\": 423,\n \"cyclomatic_complexity\": 2,\n \"nesting_depth\": 0,\n \"operator_count\": 1225\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "plan_id": "688882bf165c", "design_id": "b2938509dea7", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/nvdla/hw", "commit": "8e06b1b9d85aab65b40d43d08eec5ea4681ff715", "path": "vmod/nvdla/nocif/NV_NVDLA_MCIF_READ_ig.v", "sha256": "5552cb4d2a9e33ecb3f29f35f47bd15681c34935b836c0665bc58d6d7fbfbaf0"}} {"question": "For NV_NVDLA_sync3d_s, the source has a cyclomatic complexity of 39 and a nesting depth of 26, but after medium-effort synthesis it maps to only a handful of cells. What does the synthesized cell breakdown look like, and does it agree with the instantiations listed in the source?", "answer": "Although the source has a cyclomatic complexity of 39 across 239 lines of code, medium-effort synthesis reduces NV_NVDLA_sync3d_s to just 4 cells: 1 MUX2HDD2, 2 NV_BLKBOX_SRC0 and 1 sync3d_s_ppp, with an area of 4.0 and a delay of 75.79. All three cell types also show up in the source's instantiation list, so the logic is essentially a wrapper around these hard macros; the other entries in that list (such as random, rand and delta) look like simulation-only constructs that were parsed as instantiations.", "source_file": "github_repos/nvdla_hw/vmod/nvdla/car/NV_NVDLA_sync3d_s.v", "module_name": "NV_NVDLA_sync3d_s", "tool_name": "static_analyzer+synthesis_tool", "tool_parameters": [{"analysis_type": "full"}, {"optimization_level": "medium"}], "tool_result": "[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"NV_NVDLA_sync3d_s\",\n \"port_count\": {\n \"inputs\": 11,\n \"outputs\": 3,\n \"inouts\": 0,\n \"total\": 14\n },\n \"signal_count\": {\n \"wires\": 7,\n \"regs\": 22,\n \"parameters\": 0,\n \"total\": 29\n },\n \"always_blocks\": 4,\n \"assign_statements\": 5,\n \"instantiations\": [\n \"random\",\n \"to\",\n \"sync3d_s_ppp\",\n \"known\",\n \"MUX2HDD2\",\n \"bump\",\n \"PRAND_VERILOG\",\n \"rand\",\n \"delta\",\n \"NV_BLKBOX_SRC0\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 239,\n \"total_lines\": 328,\n \"cyclomatic_complexity\": 39,\n \"nesting_depth\": 26,\n \"operator_count\": 355\n },\n \"lint_warnings\": [],\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 4.0,\n \"delay\": 75.79,\n \"power\": 0.004,\n \"gate_count\": 4,\n \"cell_breakdown\": {\n \"MUX2HDD2\": 1,\n \"NV_BLKBOX_SRC0\": 2,\n \"sync3d_s_ppp\": 1\n },\n \"wire_count\": 11,\n \"wire_bits\": 11,\n \"critical_path_estimate\": 75.79,\n...[1130 chars elided]...\n \"error\": null\n}", "category": "multi_tool", "subcategory": "static_analyzer+synthesis_tool", "difficulty": "compositional", "question_hash": "bce5215ffc22", "stage1_target": "[{\"tool\": \"static_analyzer\", \"parameters\": {\"analysis_type\": \"full\"}}, {\"tool\": \"synthesis_tool\", \"parameters\": {\"optimization_level\": \"medium\"}}]", "stage2_context": "Question: For NV_NVDLA_sync3d_s, the source has a cyclomatic complexity of 39 and a nesting depth of 26, but after medium-effort synthesis it maps to only a handful of cells. What does the synthesized cell breakdown look like, and does it agree with the instantiations listed in the source?\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"NV_NVDLA_sync3d_s\",\n \"port_count\": {\n \"inputs\": 11,\n \"outputs\": 3,\n \"inouts\": 0,\n \"total\": 14\n },\n \"signal_count\": {\n \"wires\": 7,\n \"regs\": 22,\n \"parameters\": 0,\n \"total\": 29\n },\n \"always_blocks\": 4,\n \"assign_statements\": 5,\n \"instantiations\": [\n \"random\",\n \"to\",\n \"sync3d_s_ppp\",\n \"known\",\n \"MUX2HDD2\",\n \"bump\",\n \"PRAND_VERILOG\",\n \"rand\",\n \"delta\",\n \"NV_BLKBOX_SRC0\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 239,\n \"total_lines\": 328,\n \"cyclomatic_complexity\": 39,\n \"nesting_depth\": 26,\n \"operator_count\": 355\n },\n \"lint_warnings\": [],\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 4.0,\n \"delay\": 75.79,\n \"power\": 0.004,\n \"gate_count\": 4,\n \"cell_breakdown\": {\n \"MUX2HDD2\": 1,\n \"NV_BLKBOX_SRC0\": 2,\n \"sync3d_s_ppp\": 1\n },\n \"wire_count\": 11,\n \"wire_bits\": 11,\n \"critical_path_estimate\": 75.79,\n...[1130 chars elided]...\n \"error\": null\n}", "plan_id": "0aa7528d54e6", "design_id": "b25c453cf6ac", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/nvdla/hw", "commit": "8e06b1b9d85aab65b40d43d08eec5ea4681ff715", "path": "vmod/nvdla/car/NV_NVDLA_sync3d_s.v", "sha256": "ee57a4f97054674262fb85dbe473016c9a4ab68fb275722ab6404641b22ffb7a"}} {"question": "For nv_ram_rwsthp_60x168, a medium-effort synthesis came out at 239 cells, and most of them look like black-box sink/source placeholders. With that cell mix in mind, how much would the area-targeted optimization recommendations actually help, and what does the plan cost in delay?", "answer": "Medium-effort synthesis of nv_ram_rwsthp_60x168 gives an area of 239.0 and a delay of 258.52, but 169 of the cells are NV_BLKBOX_SINK and only 30 are real AN2D4PO4 gates, so very little logic is left for sharing or mux optimization to work on. The area-targeted plan estimates an area change of -15.0 and power of -10.0, but it also expects delay to get worse by 5.0, which fits its stated trade-off that area optimization may increase delay.", "source_file": "github_repos/nvdla_hw/vmod/rams/synth/nv_ram_rwsthp_60x168.v", "module_name": "nv_ram_rwsthp_60x168", "tool_name": "optimization_advisor+synthesis_tool", "tool_parameters": [{"target_metric": "area"}, {"optimization_level": "medium"}], "tool_result": "[optimization_advisor {\"target_metric\": \"area\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"area\",\n \"recommended_recipes\": [\n \"synth -top nv_ram_rwsthp_60x168 -flatten\",\n \"opt -full; share -aggressive; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean -purge\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"memory_optimization\",\n \"description\": \"Consider using memory inference for large arrays\",\n \"command\": \"memory -nomap; memory_bram\"\n },\n {\n \"type\": \"mux_optimization\",\n \"description\": \"Share multiplexers where possible\",\n \"command\": \"muxcover; opt\"\n },\n {\n \"type\": \"resource_sharing\",\n \"description\": \"Share arithmetic operators\",\n \"command\": \"share -aggressive\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": -15.0,\n \"delay\": 5.0,\n \"power\": -10.0\n },\n \"trade_offs\": [\n \"Area optimization may increase delay\",\n \"Aggressive sharing increases routing complexity\"\n ],\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 239.0,\n \"delay\": 258.52,\n \"power\": 0.239,\n \"gate_count\": 239,\n \"cell_breakdown\": {\n \"AN2D4PO4\": 30,\n \"NV_BLKBOX_SINK\": 169,\n \"NV_BLKBOX_SRC0\": 9,\n \"NV_BLKBOX_SRC0_X\": 30,\n \"nv_ram_rwsthp_60x168_logic\": 1\n },\n \"wire_count\": 64,\n \"wire_bits\": 791,\n \"critical_path_estimate\": 258.52,\n...[1214 chars elided]...\n \"error\": null\n}", "category": "multi_tool", "subcategory": "optimization_advisor+synthesis_tool", "difficulty": "compositional", "question_hash": "0e5eb81c35fb", "stage1_target": "[{\"tool\": \"optimization_advisor\", \"parameters\": {\"target_metric\": \"area\"}}, {\"tool\": \"synthesis_tool\", \"parameters\": {\"optimization_level\": \"medium\"}}]", "stage2_context": "Question: For nv_ram_rwsthp_60x168, a medium-effort synthesis came out at 239 cells, and most of them look like black-box sink/source placeholders. With that cell mix in mind, how much would the area-targeted optimization recommendations actually help, and what does the plan cost in delay?\n\n[optimization_advisor {\"target_metric\": \"area\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"area\",\n \"recommended_recipes\": [\n \"synth -top nv_ram_rwsthp_60x168 -flatten\",\n \"opt -full; share -aggressive; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean -purge\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"memory_optimization\",\n \"description\": \"Consider using memory inference for large arrays\",\n \"command\": \"memory -nomap; memory_bram\"\n },\n {\n \"type\": \"mux_optimization\",\n \"description\": \"Share multiplexers where possible\",\n \"command\": \"muxcover; opt\"\n },\n {\n \"type\": \"resource_sharing\",\n \"description\": \"Share arithmetic operators\",\n \"command\": \"share -aggressive\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": -15.0,\n \"delay\": 5.0,\n \"power\": -10.0\n },\n \"trade_offs\": [\n \"Area optimization may increase delay\",\n \"Aggressive sharing increases routing complexity\"\n ],\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 239.0,\n \"delay\": 258.52,\n \"power\": 0.239,\n \"gate_count\": 239,\n \"cell_breakdown\": {\n \"AN2D4PO4\": 30,\n \"NV_BLKBOX_SINK\": 169,\n \"NV_BLKBOX_SRC0\": 9,\n \"NV_BLKBOX_SRC0_X\": 30,\n \"nv_ram_rwsthp_60x168_logic\": 1\n },\n \"wire_count\": 64,\n \"wire_bits\": 791,\n \"critical_path_estimate\": 258.52,\n...[1214 chars elided]...\n \"error\": null\n}", "plan_id": "034000bded14", "design_id": "b3408527d1d9", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/nvdla/hw", "commit": "8e06b1b9d85aab65b40d43d08eec5ea4681ff715", "path": "vmod/rams/synth/nv_ram_rwsthp_60x168.v", "sha256": "9697ce7ac462e48a07501ef5587fe8c2f73fc2148481609280ba5035230a8e1b"}} {"question": "For service_go_board, how does the size of the unoptimized AIG graph compare with the cell count you get from medium-level synthesis, and do the sequential elements stay the same between the two?", "answer": "The AIG of service_go_board has 1458 nodes (625 $_AND_ and 819 $_NOT_) and 3544 edges, while medium-level synthesis brings it down to only 24 cells, with an area of 33.0 and a delay of 140.54. The sequential elements are the same in both: 6 $_DFFE_PN_ flip-flops, 1 $_SDFF_PP1_ and 1 servant instance.", "source_file": "github_repos/olofk_serv/servant/service_go_board.v", "module_name": "service_go_board", "tool_name": "graph_extractor+synthesis_tool", "tool_parameters": [{"graph_type": "AIG"}, {"optimization_level": "medium"}], "tool_result": "[graph_extractor {\"graph_type\": \"AIG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"AIG\",\n...[33372 chars elided]...\n \"node_count\": 1458,\n \"edge_count\": 3544,\n \"graph_properties\": {\n \"node_types\": {\n \"$_AND_\": 625,\n \"$_NOT_\": 819,\n \"$_SDFF_PP1_\": 1,\n \"$_DFFE_PN_\": 6,\n \"servant\": 1,\n \"port_input\": 1,\n \"port_output\": 5\n },\n \"avg_degree\": 2.43,\n \"module_name\": \"service_go_board\"\n },\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 33.0,\n \"delay\": 140.54,\n \"power\": 0.024,\n \"gate_count\": 24,\n \"cell_breakdown\": {\n \"$_AND_\": 5,\n \"$_DFFE_PN_\": 6,\n \"$_NAND_\": 1,\n \"$_NOR_\": 1,\n \"$_NOT_\": 2,\n \"$_OR_\": 1,\n \"$_SDFF_PP1_\": 1,\n \"$_XNOR_\": 2,\n \"$_XOR_\": 4,\n \"servant\": 1\n },\n \"wire_count\": 18,\n \"wire_bits\": 86,\n \"critical_path_estimate\": 140.54,\n...[1281 chars elided]...\n \"error\": null\n}", "category": "multi_tool", "subcategory": "graph_extractor+synthesis_tool", "difficulty": "compositional", "question_hash": "86b15ab4eb45", "stage1_target": "[{\"tool\": \"graph_extractor\", \"parameters\": {\"graph_type\": \"AIG\"}}, {\"tool\": \"synthesis_tool\", \"parameters\": {\"optimization_level\": \"medium\"}}]", "stage2_context": "Question: For service_go_board, how does the size of the unoptimized AIG graph compare with the cell count you get from medium-level synthesis, and do the sequential elements stay the same between the two?\n\n[graph_extractor {\"graph_type\": \"AIG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"AIG\",\n...[33372 chars elided]...\n \"node_count\": 1458,\n \"edge_count\": 3544,\n \"graph_properties\": {\n \"node_types\": {\n \"$_AND_\": 625,\n \"$_NOT_\": 819,\n \"$_SDFF_PP1_\": 1,\n \"$_DFFE_PN_\": 6,\n \"servant\": 1,\n \"port_input\": 1,\n \"port_output\": 5\n },\n \"avg_degree\": 2.43,\n \"module_name\": \"service_go_board\"\n },\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 33.0,\n \"delay\": 140.54,\n \"power\": 0.024,\n \"gate_count\": 24,\n \"cell_breakdown\": {\n \"$_AND_\": 5,\n \"$_DFFE_PN_\": 6,\n \"$_NAND_\": 1,\n \"$_NOR_\": 1,\n \"$_NOT_\": 2,\n \"$_OR_\": 1,\n \"$_SDFF_PP1_\": 1,\n \"$_XNOR_\": 2,\n \"$_XOR_\": 4,\n \"servant\": 1\n },\n \"wire_count\": 18,\n \"wire_bits\": 86,\n \"critical_path_estimate\": 140.54,\n...[1281 chars elided]...\n \"error\": null\n}", "plan_id": "b806126f38ec", "design_id": "b4f4a5c447fa", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/olofk/serv", "commit": "f200eb2ed7b69ac1c6b8eddd47654522aeee5ce8", "path": "servant/service_go_board.v", "sha256": "99a38b5a4485c4184060b9b4a40bccf39f968434e56910559ccf0cb83667a5bb"}} {"question": "For the counter module, how well does the RTL map to the synthesized netlist, and if I apply the delay-targeted optimization flow, what delay gain should I expect and what does it cost in area and power?", "answer": "The RTL-to-netlist mapping for counter is clean: it has an alignment score of 100.0, and its single RTL signal 'out' maps to 1 netlist wire with 0 unmapped signals. The delay-targeted flow (synth, opt -fast, abc -fast, opt_clean) gives an estimated delay improvement of -20.0. The cost is an estimated area change of 10.0 and a power change of 5.0, which matches the stated trade-offs that speed optimization increases area and power consumption.", "source_file": "github_repos/The-OpenROAD-Project_OpenROAD/src/odb/test/data/floorplan_initialize2.v", "module_name": "counter", "tool_name": "cross_stage_mapper+optimization_advisor", "tool_parameters": [{}, {"target_metric": "delay"}], "tool_result": "[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"out\": [\n \"out\"\n ]\n },\n \"alignment_score\": 100.0,\n \"unmapped_elements\": [],\n \"mapping_statistics\": {\n \"rtl_signals\": 1,\n \"netlist_wires\": 1,\n \"netlist_cells\": 0,\n \"mapped_signals\": 1,\n \"unmapped_signals\": 0\n },\n \"error\": null\n}\n\n[optimization_advisor {\"target_metric\": \"delay\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"delay\",\n \"recommended_recipes\": [\n \"synth -top counter\",\n \"opt -fast\",\n \"abc -fast -liberty stdcells.lib\",\n \"opt_clean\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"pipeline_insertion\",\n \"description\": \"Consider pipelining arithmetic operations\",\n \"command\": \"Use register retiming\"\n },\n {\n \"type\": \"logic_duplication\",\n \"description\": \"Duplicate logic to reduce fanout\",\n \"command\": \"splitnets -driver\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": 10.0,\n \"delay\": -20.0,\n \"power\": 5.0\n },\n \"trade_offs\": [\n \"Speed optimization increases area\",\n \"Higher power consumption\"\n ],\n \"error\": null\n}", "category": "multi_tool", "subcategory": "cross_stage_mapper+optimization_advisor", "difficulty": "compositional", "question_hash": "27eeb7092388", "stage1_target": "[{\"tool\": \"cross_stage_mapper\", \"parameters\": {}}, {\"tool\": \"optimization_advisor\", \"parameters\": {\"target_metric\": \"delay\"}}]", "stage2_context": "Question: For the counter module, how well does the RTL map to the synthesized netlist, and if I apply the delay-targeted optimization flow, what delay gain should I expect and what does it cost in area and power?\n\n[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"out\": [\n \"out\"\n ]\n },\n \"alignment_score\": 100.0,\n \"unmapped_elements\": [],\n \"mapping_statistics\": {\n \"rtl_signals\": 1,\n \"netlist_wires\": 1,\n \"netlist_cells\": 0,\n \"mapped_signals\": 1,\n \"unmapped_signals\": 0\n },\n \"error\": null\n}\n\n[optimization_advisor {\"target_metric\": \"delay\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"delay\",\n \"recommended_recipes\": [\n \"synth -top counter\",\n \"opt -fast\",\n \"abc -fast -liberty stdcells.lib\",\n \"opt_clean\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"pipeline_insertion\",\n \"description\": \"Consider pipelining arithmetic operations\",\n \"command\": \"Use register retiming\"\n },\n {\n \"type\": \"logic_duplication\",\n \"description\": \"Duplicate logic to reduce fanout\",\n \"command\": \"splitnets -driver\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": 10.0,\n \"delay\": -20.0,\n \"power\": 5.0\n },\n \"trade_offs\": [\n \"Speed optimization increases area\",\n \"Higher power consumption\"\n ],\n \"error\": null\n}", "plan_id": "3750184e68da", "design_id": "b5113f4e89e9", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/The-OpenROAD-Project/OpenROAD", "commit": "3e3e483a4e3f98e2b5470b272040699de6dedbee", "path": "src/odb/test/data/floorplan_initialize2.v", "sha256": "a9258a3f6bc9ca5a563edf9134d08d105cd04df6c7f20151a832d36b54ac078f"}} {"question": "NV_NVDLA_cmac is basically a wrapper: no always blocks and no assign statements, it just instantiates submodules. If I optimize it for delay, what improvement and trade-offs should I expect, and does its structure suggest where the suggested arithmetic pipelining would actually have to go?", "answer": "The delay-targeted flow (synth, opt -fast, abc -fast, opt_clean) estimates a -20.0 delay change, at the cost of a 10.0 area increase and a 5.0 power increase. The structure shows that NV_NVDLA_cmac itself has 0 always blocks, 0 assign statements and a cyclomatic complexity of 2, and only instantiates NV_NVDLA_CMAC_core and NV_NVDLA_CMAC_reg across its 284 ports. That means any pipeline insertion or retiming of arithmetic would have to be done inside NV_NVDLA_CMAC_core, not in this top-level wrapper.", "source_file": "github_repos/nvdla_hw/vmod/nvdla/cmac/NV_NVDLA_cmac.v", "module_name": "NV_NVDLA_cmac", "tool_name": "optimization_advisor+static_analyzer", "tool_parameters": [{"target_metric": "delay"}, {"analysis_type": "full"}], "tool_result": "[optimization_advisor {\"target_metric\": \"delay\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"delay\",\n \"recommended_recipes\": [\n \"synth -top NV_NVDLA_cmac\",\n \"opt -fast\",\n \"abc -fast -liberty stdcells.lib\",\n \"opt_clean\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"pipeline_insertion\",\n \"description\": \"Consider pipelining arithmetic operations\",\n \"command\": \"Use register retiming\"\n },\n {\n \"type\": \"logic_duplication\",\n \"description\": \"Duplicate logic to reduce fanout\",\n \"command\": \"splitnets -driver\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": 10.0,\n \"delay\": -20.0,\n \"power\": 5.0\n },\n \"trade_offs\": [\n \"Speed optimization increases area\",\n \"Higher power consumption\"\n ],\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"NV_NVDLA_cmac\",\n \"port_count\": {\n \"inputs\": 269,\n \"outputs\": 15,\n \"inouts\": 0,\n \"total\": 284\n },\n \"signal_count\": {\n \"wires\": 5,\n \"regs\": 1,\n \"parameters\": 0,\n \"total\": 6\n },\n \"always_blocks\": 0,\n \"assign_statements\": 0,\n \"instantiations\": [\n \"NV_NVDLA_CMAC_core\",\n \"NV_NVDLA_CMAC_reg\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 876,\n \"total_lines\": 908,\n \"cyclomatic_complexity\": 2,\n \"nesting_depth\": 0,\n \"operator_count\": 2747\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "category": "multi_tool", "subcategory": "optimization_advisor+static_analyzer", "difficulty": "compositional", "question_hash": "e2a186d41e5f", "stage1_target": "[{\"tool\": \"optimization_advisor\", \"parameters\": {\"target_metric\": \"delay\"}}, {\"tool\": \"static_analyzer\", \"parameters\": {\"analysis_type\": \"full\"}}]", "stage2_context": "Question: NV_NVDLA_cmac is basically a wrapper: no always blocks and no assign statements, it just instantiates submodules. If I optimize it for delay, what improvement and trade-offs should I expect, and does its structure suggest where the suggested arithmetic pipelining would actually have to go?\n\n[optimization_advisor {\"target_metric\": \"delay\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"delay\",\n \"recommended_recipes\": [\n \"synth -top NV_NVDLA_cmac\",\n \"opt -fast\",\n \"abc -fast -liberty stdcells.lib\",\n \"opt_clean\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"pipeline_insertion\",\n \"description\": \"Consider pipelining arithmetic operations\",\n \"command\": \"Use register retiming\"\n },\n {\n \"type\": \"logic_duplication\",\n \"description\": \"Duplicate logic to reduce fanout\",\n \"command\": \"splitnets -driver\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": 10.0,\n \"delay\": -20.0,\n \"power\": 5.0\n },\n \"trade_offs\": [\n \"Speed optimization increases area\",\n \"Higher power consumption\"\n ],\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"NV_NVDLA_cmac\",\n \"port_count\": {\n \"inputs\": 269,\n \"outputs\": 15,\n \"inouts\": 0,\n \"total\": 284\n },\n \"signal_count\": {\n \"wires\": 5,\n \"regs\": 1,\n \"parameters\": 0,\n \"total\": 6\n },\n \"always_blocks\": 0,\n \"assign_statements\": 0,\n \"instantiations\": [\n \"NV_NVDLA_CMAC_core\",\n \"NV_NVDLA_CMAC_reg\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 876,\n \"total_lines\": 908,\n \"cyclomatic_complexity\": 2,\n \"nesting_depth\": 0,\n \"operator_count\": 2747\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "plan_id": "b58761279c53", "design_id": "b66f7b00cbe7", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/nvdla/hw", "commit": "8e06b1b9d85aab65b40d43d08eec5ea4681ff715", "path": "vmod/nvdla/cmac/NV_NVDLA_cmac.v", "sha256": "c94853511bb514809f1023201b6323af6dcf1b14f6d523638107d2ae40cd80c7"}} {"question": "The NV_NVDLA_RUBIK_slcg module synthesizes at medium optimization to only 4 cells, one of them an NV_CLK_gate_power cell. Given that, is the power-targeted optimization plan, which recommends inserting clock gating and estimates a power change of -25.0, likely to make much difference, and what does it cost in area and delay?", "answer": "NV_NVDLA_RUBIK_slcg already maps to just 4 gates (1 $_NAND_, 2 $_NOR_ and 1 NV_CLK_gate_power) with a power of 0.004 and a delay of 64.42, so the logic already contains a clock-gating cell and there is little left for the recommended clockgate step to gate. The power plan's estimated -25.0 power improvement is therefore likely optimistic for this module, and the estimate also lists a 5.0 area and 5.0 delay impact, with the trade-off that clock gating adds timing complexity.", "source_file": "github_repos/nvdla_hw/vmod/nvdla/rubik/NV_NVDLA_RUBIK_slcg.v", "module_name": "NV_NVDLA_RUBIK_slcg", "tool_name": "optimization_advisor+synthesis_tool", "tool_parameters": [{"target_metric": "power"}, {"optimization_level": "medium"}], "tool_result": "[optimization_advisor {\"target_metric\": \"power\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"power\",\n \"recommended_recipes\": [\n \"synth -top NV_NVDLA_RUBIK_slcg\",\n \"opt; share; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean; clockgate\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"clock_gating\",\n \"description\": \"Insert clock gating for registers\",\n \"command\": \"clockgate\"\n },\n {\n \"type\": \"operand_isolation\",\n \"description\": \"Isolate operands when not in use\",\n \"command\": \"Use enable signals for arithmetic\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": 5.0,\n \"delay\": 5.0,\n \"power\": -25.0\n },\n \"trade_offs\": [\n \"Power optimization may add area overhead\",\n \"Clock gating adds timing complexity\"\n ],\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 4.0,\n \"delay\": 64.42,\n \"power\": 0.004,\n \"gate_count\": 4,\n \"cell_breakdown\": {\n \"$_NAND_\": 1,\n \"$_NOR_\": 2,\n \"NV_CLK_gate_power\": 1\n },\n \"wire_count\": 10,\n \"wire_bits\": 10,\n \"critical_path_estimate\": 64.42,\n...[1126 chars elided]...\n \"error\": null\n}", "category": "multi_tool", "subcategory": "optimization_advisor+synthesis_tool", "difficulty": "compositional", "question_hash": "c90e500e1934", "stage1_target": "[{\"tool\": \"optimization_advisor\", \"parameters\": {\"target_metric\": \"power\"}}, {\"tool\": \"synthesis_tool\", \"parameters\": {\"optimization_level\": \"medium\"}}]", "stage2_context": "Question: The NV_NVDLA_RUBIK_slcg module synthesizes at medium optimization to only 4 cells, one of them an NV_CLK_gate_power cell. Given that, is the power-targeted optimization plan, which recommends inserting clock gating and estimates a power change of -25.0, likely to make much difference, and what does it cost in area and delay?\n\n[optimization_advisor {\"target_metric\": \"power\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"power\",\n \"recommended_recipes\": [\n \"synth -top NV_NVDLA_RUBIK_slcg\",\n \"opt; share; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean; clockgate\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"clock_gating\",\n \"description\": \"Insert clock gating for registers\",\n \"command\": \"clockgate\"\n },\n {\n \"type\": \"operand_isolation\",\n \"description\": \"Isolate operands when not in use\",\n \"command\": \"Use enable signals for arithmetic\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": 5.0,\n \"delay\": 5.0,\n \"power\": -25.0\n },\n \"trade_offs\": [\n \"Power optimization may add area overhead\",\n \"Clock gating adds timing complexity\"\n ],\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 4.0,\n \"delay\": 64.42,\n \"power\": 0.004,\n \"gate_count\": 4,\n \"cell_breakdown\": {\n \"$_NAND_\": 1,\n \"$_NOR_\": 2,\n \"NV_CLK_gate_power\": 1\n },\n \"wire_count\": 10,\n \"wire_bits\": 10,\n \"critical_path_estimate\": 64.42,\n...[1126 chars elided]...\n \"error\": null\n}", "plan_id": "e6d0eebcc9e8", "design_id": "b7e2d429dea6", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/nvdla/hw", "commit": "8e06b1b9d85aab65b40d43d08eec5ea4681ff715", "path": "vmod/nvdla/rubik/NV_NVDLA_RUBIK_slcg.v", "sha256": "91098c0db75ef6861ce37aa52088a45b5af05d017541bd4423dd2de787810d54"}} {"question": "For the sub_modules design, which is purely structural (it instantiates sky130_fd_sc_hd__dfstp_1 and shift_register_2b, with no always blocks or assign statements), what delay improvement and area cost should I expect from a delay-targeted optimization flow, and does the module's simple structure leave much room for the suggested fanout-reducing logic duplication?", "answer": "The delay-targeted flow projects a -20.0 delay change for sub_modules, but area rises by 10.0 and power by 5.0, and it recommends 'splitnets -driver' to duplicate logic and cut fanout. The module has only 1 wire, 5 inputs and 2 outputs, 0 always blocks and a cyclomatic complexity of 1, and it is just two instantiated cells, so there is little internal fanout for duplication to reduce, and most of the real delay is probably inside the instantiated cells.", "source_file": "github_repos/The-OpenROAD-Project_OpenROAD/src/dft/test/sub_modules_sky130.v", "module_name": "sub_modules", "tool_name": "optimization_advisor+static_analyzer", "tool_parameters": [{"target_metric": "delay"}, {"analysis_type": "full"}], "tool_result": "[optimization_advisor {\"target_metric\": \"delay\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"delay\",\n \"recommended_recipes\": [\n \"synth -top sub_modules\",\n \"opt -fast\",\n \"abc -fast -liberty stdcells.lib\",\n \"opt_clean\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"logic_duplication\",\n \"description\": \"Duplicate logic to reduce fanout\",\n \"command\": \"splitnets -driver\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": 10.0,\n \"delay\": -20.0,\n \"power\": 5.0\n },\n \"trade_offs\": [\n \"Speed optimization increases area\",\n \"Higher power consumption\"\n ],\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"sub_modules\",\n \"port_count\": {\n \"inputs\": 5,\n \"outputs\": 2,\n \"inouts\": 0,\n \"total\": 7\n },\n \"signal_count\": {\n \"wires\": 1,\n \"regs\": 0,\n \"parameters\": 0,\n \"total\": 1\n },\n \"always_blocks\": 0,\n \"assign_statements\": 0,\n \"instantiations\": [\n \"sky130_fd_sc_hd__dfstp_1\",\n \"shift_register_2b\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 25,\n \"total_lines\": 31,\n \"cyclomatic_complexity\": 1,\n \"nesting_depth\": 0,\n \"operator_count\": 0\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "category": "multi_tool", "subcategory": "optimization_advisor+static_analyzer", "difficulty": "compositional", "question_hash": "3534132cc0b6", "stage1_target": "[{\"tool\": \"optimization_advisor\", \"parameters\": {\"target_metric\": \"delay\"}}, {\"tool\": \"static_analyzer\", \"parameters\": {\"analysis_type\": \"full\"}}]", "stage2_context": "Question: For the sub_modules design, which is purely structural (it instantiates sky130_fd_sc_hd__dfstp_1 and shift_register_2b, with no always blocks or assign statements), what delay improvement and area cost should I expect from a delay-targeted optimization flow, and does the module's simple structure leave much room for the suggested fanout-reducing logic duplication?\n\n[optimization_advisor {\"target_metric\": \"delay\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"delay\",\n \"recommended_recipes\": [\n \"synth -top sub_modules\",\n \"opt -fast\",\n \"abc -fast -liberty stdcells.lib\",\n \"opt_clean\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"logic_duplication\",\n \"description\": \"Duplicate logic to reduce fanout\",\n \"command\": \"splitnets -driver\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": 10.0,\n \"delay\": -20.0,\n \"power\": 5.0\n },\n \"trade_offs\": [\n \"Speed optimization increases area\",\n \"Higher power consumption\"\n ],\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"sub_modules\",\n \"port_count\": {\n \"inputs\": 5,\n \"outputs\": 2,\n \"inouts\": 0,\n \"total\": 7\n },\n \"signal_count\": {\n \"wires\": 1,\n \"regs\": 0,\n \"parameters\": 0,\n \"total\": 1\n },\n \"always_blocks\": 0,\n \"assign_statements\": 0,\n \"instantiations\": [\n \"sky130_fd_sc_hd__dfstp_1\",\n \"shift_register_2b\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 25,\n \"total_lines\": 31,\n \"cyclomatic_complexity\": 1,\n \"nesting_depth\": 0,\n \"operator_count\": 0\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "plan_id": "df6d3435db96", "design_id": "b8d5ff37e692", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/The-OpenROAD-Project/OpenROAD", "commit": "3e3e483a4e3f98e2b5470b272040699de6dedbee", "path": "src/dft/test/sub_modules_sky130.v", "sha256": "cfaead62590d787675927806bde24a95ce71b0b92e56a33a16d2458bbf56be68"}} {"question": "For the servant_ecp5 module, does the CDFG structure agree with the medium-effort synthesis result in terms of what logic is actually present, and what delay does synthesis report for this top-level wrapper?", "answer": "Yes. The CDFG has 8 nodes and 9 edges, and its only logic is one $logic_not plus one servant_ecp5_clock_gen and one servant instance. Synthesis reports the same thing: a gate_count of 3 ($_NOT_: 1, servant: 1, servant_ecp5_clock_gen: 1), with an area of 2.5 and a delay of 55.62, which shows the wrapper itself adds almost no glue logic.", "source_file": "github_repos/olofk_serv/servant/servant_ecp5.v", "module_name": "servant_ecp5", "tool_name": "graph_extractor+synthesis_tool", "tool_parameters": [{"graph_type": "CDFG"}, {"optimization_level": "medium"}], "tool_result": "[graph_extractor {\"graph_type\": \"CDFG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"CDFG\",\n...[1288 chars elided]...\n \"node_count\": 8,\n \"edge_count\": 9,\n \"graph_properties\": {\n \"node_types\": {\n \"$logic_not\": 1,\n \"servant_ecp5_clock_gen\": 1,\n \"servant\": 1,\n \"port_input\": 2,\n \"port_output\": 3\n },\n \"avg_degree\": 1.12,\n \"module_name\": \"servant_ecp5\"\n },\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 2.5,\n \"delay\": 55.62,\n \"power\": 0.003,\n \"gate_count\": 3,\n \"cell_breakdown\": {\n \"$_NOT_\": 1,\n \"servant\": 1,\n \"servant_ecp5_clock_gen\": 1\n },\n \"wire_count\": 8,\n \"wire_bits\": 8,\n \"critical_path_estimate\": 55.62,\n...[1130 chars elided]...\n \"error\": null\n}", "category": "multi_tool", "subcategory": "graph_extractor+synthesis_tool", "difficulty": "compositional", "question_hash": "faadbebb39a1", "stage1_target": "[{\"tool\": \"graph_extractor\", \"parameters\": {\"graph_type\": \"CDFG\"}}, {\"tool\": \"synthesis_tool\", \"parameters\": {\"optimization_level\": \"medium\"}}]", "stage2_context": "Question: For the servant_ecp5 module, does the CDFG structure agree with the medium-effort synthesis result in terms of what logic is actually present, and what delay does synthesis report for this top-level wrapper?\n\n[graph_extractor {\"graph_type\": \"CDFG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"CDFG\",\n...[1288 chars elided]...\n \"node_count\": 8,\n \"edge_count\": 9,\n \"graph_properties\": {\n \"node_types\": {\n \"$logic_not\": 1,\n \"servant_ecp5_clock_gen\": 1,\n \"servant\": 1,\n \"port_input\": 2,\n \"port_output\": 3\n },\n \"avg_degree\": 1.12,\n \"module_name\": \"servant_ecp5\"\n },\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 2.5,\n \"delay\": 55.62,\n \"power\": 0.003,\n \"gate_count\": 3,\n \"cell_breakdown\": {\n \"$_NOT_\": 1,\n \"servant\": 1,\n \"servant_ecp5_clock_gen\": 1\n },\n \"wire_count\": 8,\n \"wire_bits\": 8,\n \"critical_path_estimate\": 55.62,\n...[1130 chars elided]...\n \"error\": null\n}", "plan_id": "6dc1cb549396", "design_id": "b97734e0e728", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/olofk/serv", "commit": "f200eb2ed7b69ac1c6b8eddd47654522aeee5ce8", "path": "servant/servant_ecp5.v", "sha256": "d548a6a888cf03048b8ca048fe84aabefb95bfac0bf52cf229b5050cf7be1845"}} {"question": "For sirv_pmu_core, how does the RTL's sequential and control complexity show up after a medium-effort synthesis, and how well do the RTL signals trace into the synthesized netlist? Please mention the register and complexity counts, the flip-flop and area figures, and the mapping coverage.", "answer": "The sirv_pmu_core RTL has 48 regs, 24 always blocks and a cyclomatic complexity of 83. Medium-effort synthesis turns these into a 771-gate netlist with an area of 829.5, a delay of 348.77, 118 $_DFFE_PP0P_ flops and 51 $_DFFE_PP1P_ flops. Of the 258 RTL signals, 190 map to the netlist and 68 do not (alignment score 73.64), and state-related signals such as wantSleep, unlocked and wakeupCause are among the unmapped ones.", "source_file": "github_repos/riscv-mcu_e203_hbirdv2/rtl/e203/perips/sirv_pmu_core.v", "module_name": "sirv_pmu_core", "tool_name": "cross_stage_mapper+static_analyzer+synthesis_tool", "tool_parameters": [{}, {"analysis_type": "full"}, {"optimization_level": "medium"}], "tool_result": "[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"T_372\": [\n \"T_372\"\n ],\n \"sleepProgram_7\": [\n \"io_regs_sleepProgram_7_write_valid\",\n \"io_regs_sleepProgram_7_write_bits\",\n \"io_regs_sleepProgram_7_read\"\n ],\n \"T_364\": [\n \"T_364\"\n ],\n \"\n...[13264 chars elided]...\nepProgram_3_write_bits\"\n ],\n \"GEN_19\": []\n },\n \"alignment_score\": 73.64,\n \"unmapped_elements\": [\n \"T_540\",\n \"GEN_53\",\n \"GEN_58\",\n \"GEN_59\",\n \"GEN_18\",\n \"unlocked\",\n \"wakeupCause\",\n \"GEN_21\",\n \"GEN_44\",\n \"GEN_8\",\n \"GEN_48\",\n \"GEN_50\",\n \"GEN_7\",\n \"GEN_39\",\n \"GEN_12\",\n \"GEN_37\",\n \"wantSleep\",\n \"GEN_41\",\n \"GEN_13\",\n \"GEN_60\"\n ],\n \"mapping_statistics\": {\n \"rtl_signals\": 258,\n \"netlist_wires\": 1545,\n \"netlist_cells\": 0,\n \"mapped_signals\": 190,\n \"unmapped_signals\": 68\n },\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"sirv_pmu_core\",\n \"port_count\": {\n \"inputs\": 47,\n \"outputs\": 26,\n \"inouts\": 0,\n \"total\": 73\n },\n \"signal_count\": {\n \"wires\": 137,\n \"regs\": 48,\n \"parameters\": 0,\n \"total\": 185\n },\n \"always_blocks\": 24,\n \"assign_statements\": 164,\n \"instantiations\": [\n \"really\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 645,\n \"total_lines\": 682,\n \"cyclomatic_complexity\": 83,\n \"nesting_depth\": 80,\n \"operator_count\": 373\n },\n \"lint_warnings\": [],\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 829.5,\n \"delay\": 348.77,\n \"power\": 0.771,\n \"gate_count\": 771,\n \"cell_breakdown\": {\n \"$_ANDNOT_\": 23,\n \"$_AND_\": 147,\n \"$_DFFE_PP0P_\": 118,\n \"$_DFFE_PP1P_\": 51,\n \"$_DFF_PP0_\": 1,\n \"$_DFF_PP1_\": 1,\n \"$_NAND_\": 288,\n \"$_NOR_\":\n...[1802 chars elided]...\n \"error\": null\n}", "category": "multi_tool", "subcategory": "cross_stage_mapper+static_analyzer+synthesis_tool", "difficulty": "compositional", "question_hash": "ef69f5d5ea6d", "stage1_target": "[{\"tool\": \"cross_stage_mapper\", \"parameters\": {}}, {\"tool\": \"static_analyzer\", \"parameters\": {\"analysis_type\": \"full\"}}, {\"tool\": \"synthesis_tool\", \"parameters\": {\"optimization_level\": \"medium\"}}]", "stage2_context": "Question: For sirv_pmu_core, how does the RTL's sequential and control complexity show up after a medium-effort synthesis, and how well do the RTL signals trace into the synthesized netlist? Please mention the register and complexity counts, the flip-flop and area figures, and the mapping coverage.\n\n[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"T_372\": [\n \"T_372\"\n ],\n \"sleepProgram_7\": [\n \"io_regs_sleepProgram_7_write_valid\",\n \"io_regs_sleepProgram_7_write_bits\",\n \"io_regs_sleepProgram_7_read\"\n ],\n \"T_364\": [\n \"T_364\"\n ],\n \"\n...[13264 chars elided]...\nepProgram_3_write_bits\"\n ],\n \"GEN_19\": []\n },\n \"alignment_score\": 73.64,\n \"unmapped_elements\": [\n \"T_540\",\n \"GEN_53\",\n \"GEN_58\",\n \"GEN_59\",\n \"GEN_18\",\n \"unlocked\",\n \"wakeupCause\",\n \"GEN_21\",\n \"GEN_44\",\n \"GEN_8\",\n \"GEN_48\",\n \"GEN_50\",\n \"GEN_7\",\n \"GEN_39\",\n \"GEN_12\",\n \"GEN_37\",\n \"wantSleep\",\n \"GEN_41\",\n \"GEN_13\",\n \"GEN_60\"\n ],\n \"mapping_statistics\": {\n \"rtl_signals\": 258,\n \"netlist_wires\": 1545,\n \"netlist_cells\": 0,\n \"mapped_signals\": 190,\n \"unmapped_signals\": 68\n },\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"sirv_pmu_core\",\n \"port_count\": {\n \"inputs\": 47,\n \"outputs\": 26,\n \"inouts\": 0,\n \"total\": 73\n },\n \"signal_count\": {\n \"wires\": 137,\n \"regs\": 48,\n \"parameters\": 0,\n \"total\": 185\n },\n \"always_blocks\": 24,\n \"assign_statements\": 164,\n \"instantiations\": [\n \"really\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 645,\n \"total_lines\": 682,\n \"cyclomatic_complexity\": 83,\n \"nesting_depth\": 80,\n \"operator_count\": 373\n },\n \"lint_warnings\": [],\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 829.5,\n \"delay\": 348.77,\n \"power\": 0.771,\n \"gate_count\": 771,\n \"cell_breakdown\": {\n \"$_ANDNOT_\": 23,\n \"$_AND_\": 147,\n \"$_DFFE_PP0P_\": 118,\n \"$_DFFE_PP1P_\": 51,\n \"$_DFF_PP0_\": 1,\n \"$_DFF_PP1_\": 1,\n \"$_NAND_\": 288,\n \"$_NOR_\":\n...[1802 chars elided]...\n \"error\": null\n}", "plan_id": "98a6dbf66c04", "design_id": "bac6a8ddb3f6", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 3, "ctx_cap": 3300, "source": {"repository": "https://github.com/riscv-mcu/e203_hbirdv2", "commit": "9f3e34f337f5d0a1236a285871ffa2032491617a", "path": "rtl/e203/perips/sirv_pmu_core.v", "sha256": "d53b2a3a9b14805f057387585800d01d73e4c7919b5ef46e775dc875fb58ce90"}} {"question": "For sirv_pmu_core, the RTL-to-netlist mapping only matched part of the signals, with control state like wantSleep and wakeupCause left unmapped. If I apply the delay-targeted optimization flow that's been recommended, what improvement and trade-offs should I expect, and should the incomplete mapping make me cautious about checking the result?", "answer": "The RTL-to-netlist alignment score for sirv_pmu_core is only 73.64, with 190 RTL signals mapped and 68 unmapped (including wantSleep and wakeupCause), so the netlist cannot be fully traced back to the RTL. The delay-targeted recipe (synth, opt -fast, abc -fast, opt_clean) is estimated to give a -20.0 change in delay, at the cost of a 10.0 area increase and a 5.0 power increase. Because so many signals are unmapped, you should check the optimized result carefully, for example with equivalence checking, especially if you apply suggestions like splitnets -driver logic duplication.", "source_file": "github_repos/riscv-mcu_e203_hbirdv2/rtl/e203/perips/sirv_pmu_core.v", "module_name": "sirv_pmu_core", "tool_name": "cross_stage_mapper+optimization_advisor", "tool_parameters": [{}, {"target_metric": "delay"}], "tool_result": "[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"T_372\": [\n \"T_372\"\n ],\n \"sleepProgram_7\": [\n \"io_regs_sleepProgram_7_write_valid\",\n \"io_regs_sleepProgram_7_write_bits\",\n \"io_regs_sleepProgram_7_read\"\n ],\n \"T_364\": [\n \"T_364\"\n ],\n \"T_542\": [\n \"T_542\"\n ],\n \"io_regs_sleepProgram_6_read\": [\n \"io_regs_sleepProgram_6_read\"\n ],\n \"T_427\": [\n \"T_427\"\n ],\n \n...[12814 chars elided]...\n\n \"T_553\": [\n \"T_553\"\n ],\n \"T_532\": [\n \"T_532\"\n ],\n \"T_525\": [\n \"T_525\"\n ],\n \"io_regs_sleep_write_valid\": [\n \"io_regs_sleep_write_valid\"\n ],\n \"T_391\": [\n \"T_391\"\n ],\n \"GEN_20\": [],\n \"io_regs_sleepProgram_3_write_bits\": [\n \"io_regs_sleepProgram_3_write_bits\"\n ],\n \"GEN_19\": []\n },\n \"alignment_score\": 73.64,\n \"unmapped_elements\": [\n \"T_540\",\n \"GEN_53\",\n \"GEN_58\",\n \"GEN_59\",\n \"GEN_18\",\n \"unlocked\",\n \"wakeupCause\",\n \"GEN_21\",\n \"GEN_44\",\n \"GEN_8\",\n \"GEN_48\",\n \"GEN_50\",\n \"GEN_7\",\n \"GEN_39\",\n \"GEN_12\",\n \"GEN_37\",\n \"wantSleep\",\n \"GEN_41\",\n \"GEN_13\",\n \"GEN_60\"\n ],\n \"mapping_statistics\": {\n \"rtl_signals\": 258,\n \"netlist_wires\": 1545,\n \"netlist_cells\": 0,\n \"mapped_signals\": 190,\n \"unmapped_signals\": 68\n },\n \"error\": null\n}\n\n[optimization_advisor {\"target_metric\": \"delay\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"delay\",\n \"recommended_recipes\": [\n \"synth -top sirv_pmu_core\",\n \"opt -fast\",\n \"abc -fast -liberty stdcells.lib\",\n \"opt_clean\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"pipeline_insertion\",\n \"description\": \"Consider pipelining arithmetic operations\",\n \"command\": \"Use register retiming\"\n },\n {\n \"type\": \"logic_duplication\",\n \"description\": \"Duplicate logic to reduce fanout\",\n \"command\": \"splitnets -driver\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": 10.0,\n \"delay\": -20.0,\n \"power\": 5.0\n },\n \"trade_offs\": [\n \"Speed optimization increases area\",\n \"Higher power consumption\"\n ],\n \"error\": null\n}", "category": "multi_tool", "subcategory": "cross_stage_mapper+optimization_advisor", "difficulty": "compositional", "question_hash": "297d70df38c5", "stage1_target": "[{\"tool\": \"cross_stage_mapper\", \"parameters\": {}}, {\"tool\": \"optimization_advisor\", \"parameters\": {\"target_metric\": \"delay\"}}]", "stage2_context": "Question: For sirv_pmu_core, the RTL-to-netlist mapping only matched part of the signals, with control state like wantSleep and wakeupCause left unmapped. If I apply the delay-targeted optimization flow that's been recommended, what improvement and trade-offs should I expect, and should the incomplete mapping make me cautious about checking the result?\n\n[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"T_372\": [\n \"T_372\"\n ],\n \"sleepProgram_7\": [\n \"io_regs_sleepProgram_7_write_valid\",\n \"io_regs_sleepProgram_7_write_bits\",\n \"io_regs_sleepProgram_7_read\"\n ],\n \"T_364\": [\n \"T_364\"\n ],\n \"T_542\": [\n \"T_542\"\n ],\n \"io_regs_sleepProgram_6_read\": [\n \"io_regs_sleepProgram_6_read\"\n ],\n \"T_427\": [\n \"T_427\"\n ],\n \n...[12814 chars elided]...\n\n \"T_553\": [\n \"T_553\"\n ],\n \"T_532\": [\n \"T_532\"\n ],\n \"T_525\": [\n \"T_525\"\n ],\n \"io_regs_sleep_write_valid\": [\n \"io_regs_sleep_write_valid\"\n ],\n \"T_391\": [\n \"T_391\"\n ],\n \"GEN_20\": [],\n \"io_regs_sleepProgram_3_write_bits\": [\n \"io_regs_sleepProgram_3_write_bits\"\n ],\n \"GEN_19\": []\n },\n \"alignment_score\": 73.64,\n \"unmapped_elements\": [\n \"T_540\",\n \"GEN_53\",\n \"GEN_58\",\n \"GEN_59\",\n \"GEN_18\",\n \"unlocked\",\n \"wakeupCause\",\n \"GEN_21\",\n \"GEN_44\",\n \"GEN_8\",\n \"GEN_48\",\n \"GEN_50\",\n \"GEN_7\",\n \"GEN_39\",\n \"GEN_12\",\n \"GEN_37\",\n \"wantSleep\",\n \"GEN_41\",\n \"GEN_13\",\n \"GEN_60\"\n ],\n \"mapping_statistics\": {\n \"rtl_signals\": 258,\n \"netlist_wires\": 1545,\n \"netlist_cells\": 0,\n \"mapped_signals\": 190,\n \"unmapped_signals\": 68\n },\n \"error\": null\n}\n\n[optimization_advisor {\"target_metric\": \"delay\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"delay\",\n \"recommended_recipes\": [\n \"synth -top sirv_pmu_core\",\n \"opt -fast\",\n \"abc -fast -liberty stdcells.lib\",\n \"opt_clean\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"pipeline_insertion\",\n \"description\": \"Consider pipelining arithmetic operations\",\n \"command\": \"Use register retiming\"\n },\n {\n \"type\": \"logic_duplication\",\n \"description\": \"Duplicate logic to reduce fanout\",\n \"command\": \"splitnets -driver\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": 10.0,\n \"delay\": -20.0,\n \"power\": 5.0\n },\n \"trade_offs\": [\n \"Speed optimization increases area\",\n \"Higher power consumption\"\n ],\n \"error\": null\n}", "plan_id": "8fcb4b11c77d", "design_id": "bac6a8ddb3f6", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/riscv-mcu/e203_hbirdv2", "commit": "9f3e34f337f5d0a1236a285871ffa2032491617a", "path": "rtl/e203/perips/sirv_pmu_core.v", "sha256": "d53b2a3a9b14805f057387585800d01d73e4c7919b5ef46e775dc875fb58ce90"}} {"question": "The sync_reset module is a purely structural design: it has no always blocks and instantiates library cells such as MUX2D4 and p_SSYNC2DO_C_PP. Does an area-targeted optimization flow built around aggressive resource sharing make sense for it, and what area and delay effects should I expect?", "answer": "Not much: sync_reset has 0 always blocks, 0 assign statements and only 3 ports, and it is built entirely from instantiated cells (MUX2D4, p_SSYNC2DO_C_PP, OR2D1, NV_BLKBOX_SRC0), so the suggested 'share -aggressive' step has few or no arithmetic operators to share. The area estimate of -15.0 (with a delay change of 5.0) is therefore probably optimistic for this module.", "source_file": "github_repos/nvdla_hw/vmod/vlibs/sync_reset.v", "module_name": "sync_reset", "tool_name": "optimization_advisor+static_analyzer", "tool_parameters": [{"target_metric": "area"}, {"analysis_type": "full"}], "tool_result": "[optimization_advisor {\"target_metric\": \"area\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"area\",\n \"recommended_recipes\": [\n \"synth -top sync_reset -flatten\",\n \"opt -full; share -aggressive; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean -purge\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"resource_sharing\",\n \"description\": \"Share arithmetic operators\",\n \"command\": \"share -aggressive\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": -15.0,\n \"delay\": 5.0,\n \"power\": -10.0\n },\n \"trade_offs\": [\n \"Area optimization may increase delay\",\n \"Aggressive sharing increases routing complexity\"\n ],\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"sync_reset\",\n \"port_count\": {\n \"inputs\": 2,\n \"outputs\": 1,\n \"inouts\": 0,\n \"total\": 3\n },\n \"signal_count\": {\n \"wires\": 2,\n \"regs\": 0,\n \"parameters\": 0,\n \"total\": 2\n },\n \"always_blocks\": 0,\n \"assign_statements\": 0,\n \"instantiations\": [\n \"MUX2D4\",\n \"p_SSYNC2DO_C_PP\",\n \"OR2D1\",\n \"NV_BLKBOX_SRC0\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 14,\n \"total_lines\": 31,\n \"cyclomatic_complexity\": 3,\n \"nesting_depth\": 1,\n \"operator_count\": 157\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "category": "multi_tool", "subcategory": "optimization_advisor+static_analyzer", "difficulty": "compositional", "question_hash": "2b92469a8561", "stage1_target": "[{\"tool\": \"optimization_advisor\", \"parameters\": {\"target_metric\": \"area\"}}, {\"tool\": \"static_analyzer\", \"parameters\": {\"analysis_type\": \"full\"}}]", "stage2_context": "Question: The sync_reset module is a purely structural design: it has no always blocks and instantiates library cells such as MUX2D4 and p_SSYNC2DO_C_PP. Does an area-targeted optimization flow built around aggressive resource sharing make sense for it, and what area and delay effects should I expect?\n\n[optimization_advisor {\"target_metric\": \"area\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"area\",\n \"recommended_recipes\": [\n \"synth -top sync_reset -flatten\",\n \"opt -full; share -aggressive; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean -purge\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"resource_sharing\",\n \"description\": \"Share arithmetic operators\",\n \"command\": \"share -aggressive\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": -15.0,\n \"delay\": 5.0,\n \"power\": -10.0\n },\n \"trade_offs\": [\n \"Area optimization may increase delay\",\n \"Aggressive sharing increases routing complexity\"\n ],\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"sync_reset\",\n \"port_count\": {\n \"inputs\": 2,\n \"outputs\": 1,\n \"inouts\": 0,\n \"total\": 3\n },\n \"signal_count\": {\n \"wires\": 2,\n \"regs\": 0,\n \"parameters\": 0,\n \"total\": 2\n },\n \"always_blocks\": 0,\n \"assign_statements\": 0,\n \"instantiations\": [\n \"MUX2D4\",\n \"p_SSYNC2DO_C_PP\",\n \"OR2D1\",\n \"NV_BLKBOX_SRC0\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 14,\n \"total_lines\": 31,\n \"cyclomatic_complexity\": 3,\n \"nesting_depth\": 1,\n \"operator_count\": 157\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "plan_id": "a47e5939fd62", "design_id": "bbd36ec6dda4", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/nvdla/hw", "commit": "8e06b1b9d85aab65b40d43d08eec5ea4681ff715", "path": "vmod/vlibs/sync_reset.v", "sha256": "c1f90f36f63da7deb27225349283c0e3524900d3ba3fb61e2189529784c91b02"}} {"question": "For the top-level module servclone10, how does its CDFG structure line up with the synthesized result at medium optimization? Specifically, does the number of submodule instances in the CDFG match the synthesized cell count, and what delay and area does that synthesized hierarchy report?", "answer": "The CDFG has 6 nodes and 7 edges. Two of those nodes are submodule instances, one servclone10_clock_gen and one servant, and the rest are 2 port_input and 2 port_output nodes. That matches the synthesized gate_count of 2 (one servant and one servclone10_clock_gen cell), which reports an area of 2.0, a delay of 61.56 and 6 wires, so the top level is only wiring between the two submodules.", "source_file": "github_repos/olofk_serv/servant/servclone10.v", "module_name": "servclone10", "tool_name": "graph_extractor+synthesis_tool", "tool_parameters": [{"graph_type": "CDFG"}, {"optimization_level": "medium"}], "tool_result": "[graph_extractor {\"graph_type\": \"CDFG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"CDFG\",\n...[586 chars elided]...\n,\n \"node_count\": 6,\n \"edge_count\": 7,\n \"graph_properties\": {\n \"node_types\": {\n \"servclone10_clock_gen\": 1,\n \"servant\": 1,\n \"port_input\": 2,\n \"port_output\": 2\n },\n \"avg_degree\": 1.17,\n \"module_name\": \"servclone10\"\n },\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 2.0,\n \"delay\": 61.56,\n \"power\": 0.002,\n \"gate_count\": 2,\n \"cell_breakdown\": {\n \"servant\": 1,\n \"servclone10_clock_gen\": 1\n },\n \"wire_count\": 6,\n \"wire_bits\": 6,\n \"critical_path_estimate\": 61.56,\n...[1107 chars elided]...\n \"error\": null\n}", "category": "multi_tool", "subcategory": "graph_extractor+synthesis_tool", "difficulty": "compositional", "question_hash": "45d9eea3a035", "stage1_target": "[{\"tool\": \"graph_extractor\", \"parameters\": {\"graph_type\": \"CDFG\"}}, {\"tool\": \"synthesis_tool\", \"parameters\": {\"optimization_level\": \"medium\"}}]", "stage2_context": "Question: For the top-level module servclone10, how does its CDFG structure line up with the synthesized result at medium optimization? Specifically, does the number of submodule instances in the CDFG match the synthesized cell count, and what delay and area does that synthesized hierarchy report?\n\n[graph_extractor {\"graph_type\": \"CDFG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"CDFG\",\n...[586 chars elided]...\n,\n \"node_count\": 6,\n \"edge_count\": 7,\n \"graph_properties\": {\n \"node_types\": {\n \"servclone10_clock_gen\": 1,\n \"servant\": 1,\n \"port_input\": 2,\n \"port_output\": 2\n },\n \"avg_degree\": 1.17,\n \"module_name\": \"servclone10\"\n },\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 2.0,\n \"delay\": 61.56,\n \"power\": 0.002,\n \"gate_count\": 2,\n \"cell_breakdown\": {\n \"servant\": 1,\n \"servclone10_clock_gen\": 1\n },\n \"wire_count\": 6,\n \"wire_bits\": 6,\n \"critical_path_estimate\": 61.56,\n...[1107 chars elided]...\n \"error\": null\n}", "plan_id": "3b4ef05ef79d", "design_id": "bd96a8d4ae5b", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/olofk/serv", "commit": "f200eb2ed7b69ac1c6b8eddd47654522aeee5ce8", "path": "servant/servclone10.v", "sha256": "92676794510cc3770a8533c51036e1dbc4c0e34db261a86c4089b4ce1a0a0f45"}} {"question": "In the DFG of servclone10, the top level appears to be just a thin wrapper around a clock generator and a servant core. Given that, what does an area-targeted optimization offer for this module, and what does it cost in delay?", "answer": "The DFG of servclone10 has only 6 nodes and 7 edges (average degree 1.17). They are one servclone10_clock_gen instance, one servant instance, 2 input ports and 2 output ports, with clock_gen driving o_clk/o_rst into servant's wb_clk/wb_rst. Because almost all of the logic sits inside these submodules, the area recipe starts with 'synth -top servclone10 -flatten' so it can work across the hierarchy, and it estimates a -15.0 area change and a -10.0 power change in exchange for a 5.0 delay change.", "source_file": "github_repos/olofk_serv/servant/servclone10.v", "module_name": "servclone10", "tool_name": "graph_extractor+optimization_advisor", "tool_parameters": [{"graph_type": "DFG"}, {"target_metric": "area"}], "tool_result": "[graph_extractor {\"graph_type\": \"DFG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"DFG\",\n...[585 chars elided]...\n,\n \"node_count\": 6,\n \"edge_count\": 7,\n \"graph_properties\": {\n \"node_types\": {\n \"servclone10_clock_gen\": 1,\n \"servant\": 1,\n \"port_input\": 2,\n \"port_output\": 2\n },\n \"avg_degree\": 1.17,\n \"module_name\": \"servclone10\"\n },\n \"error\": null\n}\n\n[optimization_advisor {\"target_metric\": \"area\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"area\",\n \"recommended_recipes\": [\n \"synth -top servclone10 -flatten\",\n \"opt -full; share -aggressive; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean -purge\"\n ],\n \"optimization_suggestions\": [],\n \"estimated_improvement\": {\n \"area\": -15.0,\n \"delay\": 5.0,\n \"power\": -10.0\n },\n \"trade_offs\": [\n \"Area optimization may increase delay\",\n \"Aggressive sharing increases routing complexity\"\n ],\n \"error\": null\n}", "category": "multi_tool", "subcategory": "graph_extractor+optimization_advisor", "difficulty": "compositional", "question_hash": "422f6d9b1cf1", "stage1_target": "[{\"tool\": \"graph_extractor\", \"parameters\": {\"graph_type\": \"DFG\"}}, {\"tool\": \"optimization_advisor\", \"parameters\": {\"target_metric\": \"area\"}}]", "stage2_context": "Question: In the DFG of servclone10, the top level appears to be just a thin wrapper around a clock generator and a servant core. Given that, what does an area-targeted optimization offer for this module, and what does it cost in delay?\n\n[graph_extractor {\"graph_type\": \"DFG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"DFG\",\n...[585 chars elided]...\n,\n \"node_count\": 6,\n \"edge_count\": 7,\n \"graph_properties\": {\n \"node_types\": {\n \"servclone10_clock_gen\": 1,\n \"servant\": 1,\n \"port_input\": 2,\n \"port_output\": 2\n },\n \"avg_degree\": 1.17,\n \"module_name\": \"servclone10\"\n },\n \"error\": null\n}\n\n[optimization_advisor {\"target_metric\": \"area\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"area\",\n \"recommended_recipes\": [\n \"synth -top servclone10 -flatten\",\n \"opt -full; share -aggressive; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean -purge\"\n ],\n \"optimization_suggestions\": [],\n \"estimated_improvement\": {\n \"area\": -15.0,\n \"delay\": 5.0,\n \"power\": -10.0\n },\n \"trade_offs\": [\n \"Area optimization may increase delay\",\n \"Aggressive sharing increases routing complexity\"\n ],\n \"error\": null\n}", "plan_id": "c0eb30ca3182", "design_id": "bd96a8d4ae5b", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/olofk/serv", "commit": "f200eb2ed7b69ac1c6b8eddd47654522aeee5ce8", "path": "servant/servclone10.v", "sha256": "92676794510cc3770a8533c51036e1dbc4c0e34db261a86c4089b4ce1a0a0f45"}} {"question": "For sirv_qspi_media, how does the RTL-to-netlist mapping quality relate to the control structure seen in its CDFG? Specifically, what is the alignment score and how many RTL signals were left unmapped, and does the CDFG's register and multiplexer makeup help explain why signals such as state and cs_assert are unmapped?", "answer": "The RTL-to-netlist mapping for sirv_qspi_media has an alignment score of 80.89, with 127 RTL signals mapped and 30 unmapped out of 157. Among the unmapped ones are the control registers state and cs_assert, along with many GEN_* intermediates. This fits the CDFG, which has 128 nodes and is dominated by 50 $mux nodes alongside only 4 $adffe and 2 $adff registers, suggesting that much of the mux-based control logic and the state registers were restructured or renamed in the netlist.", "source_file": "github_repos/riscv-mcu_e203_hbirdv2/rtl/e203/perips/sirv_qspi_media.v", "module_name": "sirv_qspi_media", "tool_name": "cross_stage_mapper+graph_extractor", "tool_parameters": [{}, {"graph_type": "CDFG"}], "tool_result": "[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"io_port_dq_2_o\": [\n \"phy_io_port_dq_2_oe\",\n \"phy_io_port_dq_2_o\",\n \"io_port_dq_2_o\",\n \"io_port_dq_2_oe\"\n ],\n \"io_port_cs_0\": [\n \"io_port_cs_0\",\n \"phy_io_port_cs_0\"\n ],\n \"io_port_dq_0_o\": [\n \"io_port_dq_0_oe\",\n \"io_port_dq_0_o\",\n \"phy_io_port_dq_0_oe\",\n \"phy_io_port_dq_0_o\"\n ],\n \"T_194\": [\n \"T_194\"\n \n...[7081 chars elided]...\n ],\n \"phy_io_port_dq_2_o\": [\n \"phy_io_port_dq_2_oe\",\n \"phy_io_port_dq_2_o\"\n ],\n \"T_186\": [\n \"T_186\"\n ],\n \"GEN_20\": [],\n \"phy_io_port_dq_3_i\": [\n \"phy_io_port_dq_3_i\"\n ],\n \"T_195\": [\n \"T_195\"\n ],\n \"phy_io_port_dq_0_o\": [\n \"phy_io_port_dq_0_oe\",\n \"phy_io_port_dq_0_o\"\n ],\n \"GEN_19\": []\n },\n \"alignment_score\": 80.89,\n \"unmapped_elements\": [\n \"GEN_53\",\n \"GEN_21\",\n \"GEN_44\",\n \"GEN_8\",\n \"GEN_39\",\n \"GEN_41\",\n \"GEN_17\",\n \"GEN_40\",\n \"GEN_54\",\n \"GEN_10\",\n \"GEN_55\",\n \"cs_assert\",\n \"GEN_47\",\n \"GEN_27\",\n \"GEN_35\",\n \"GEN_45\",\n \"GEN_32\",\n \"GEN_52\",\n \"GEN_24\",\n \"state\"\n ],\n \"mapping_statistics\": {\n \"rtl_signals\": 157,\n \"netlist_wires\": 521,\n \"netlist_cells\": 0,\n \"mapped_signals\": 127,\n \"unmapped_signals\": 30\n },\n \"error\": null\n}\n\n[graph_extractor {\"graph_type\": \"CDFG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"CDFG\",\n...[51000 chars elided]...\n \"node_count\": 128,\n \"edge_count\": 616,\n \"graph_properties\": {\n \"node_types\": {\n \"$shl\": 2,\n \"$xor\": 2,\n \"$ne\": 3,\n \"$not\": 5,\n \"$and\": 5,\n \"$or\": 3,\n \"$logic_not\": 2,\n \"$mux\": 50,\n \"$eq\": 2,\n \"$adffe\": 4,\n \"$reduce_bool\": 5,\n \"$reduce_and\": 4,\n \"$adff\": 2,\n \"sirv_qspi_physical\": 1,\n \"port_input\": 24,\n \"port_output\": 14\n },\n \"avg_degree\": 4.81,\n \"module_name\": \"sirv_qspi_media\"\n },\n \"error\": null\n}", "category": "multi_tool", "subcategory": "cross_stage_mapper+graph_extractor", "difficulty": "compositional", "question_hash": "1e8fdabdaaa1", "stage1_target": "[{\"tool\": \"cross_stage_mapper\", \"parameters\": {}}, {\"tool\": \"graph_extractor\", \"parameters\": {\"graph_type\": \"CDFG\"}}]", "stage2_context": "Question: For sirv_qspi_media, how does the RTL-to-netlist mapping quality relate to the control structure seen in its CDFG? Specifically, what is the alignment score and how many RTL signals were left unmapped, and does the CDFG's register and multiplexer makeup help explain why signals such as state and cs_assert are unmapped?\n\n[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"io_port_dq_2_o\": [\n \"phy_io_port_dq_2_oe\",\n \"phy_io_port_dq_2_o\",\n \"io_port_dq_2_o\",\n \"io_port_dq_2_oe\"\n ],\n \"io_port_cs_0\": [\n \"io_port_cs_0\",\n \"phy_io_port_cs_0\"\n ],\n \"io_port_dq_0_o\": [\n \"io_port_dq_0_oe\",\n \"io_port_dq_0_o\",\n \"phy_io_port_dq_0_oe\",\n \"phy_io_port_dq_0_o\"\n ],\n \"T_194\": [\n \"T_194\"\n \n...[7081 chars elided]...\n ],\n \"phy_io_port_dq_2_o\": [\n \"phy_io_port_dq_2_oe\",\n \"phy_io_port_dq_2_o\"\n ],\n \"T_186\": [\n \"T_186\"\n ],\n \"GEN_20\": [],\n \"phy_io_port_dq_3_i\": [\n \"phy_io_port_dq_3_i\"\n ],\n \"T_195\": [\n \"T_195\"\n ],\n \"phy_io_port_dq_0_o\": [\n \"phy_io_port_dq_0_oe\",\n \"phy_io_port_dq_0_o\"\n ],\n \"GEN_19\": []\n },\n \"alignment_score\": 80.89,\n \"unmapped_elements\": [\n \"GEN_53\",\n \"GEN_21\",\n \"GEN_44\",\n \"GEN_8\",\n \"GEN_39\",\n \"GEN_41\",\n \"GEN_17\",\n \"GEN_40\",\n \"GEN_54\",\n \"GEN_10\",\n \"GEN_55\",\n \"cs_assert\",\n \"GEN_47\",\n \"GEN_27\",\n \"GEN_35\",\n \"GEN_45\",\n \"GEN_32\",\n \"GEN_52\",\n \"GEN_24\",\n \"state\"\n ],\n \"mapping_statistics\": {\n \"rtl_signals\": 157,\n \"netlist_wires\": 521,\n \"netlist_cells\": 0,\n \"mapped_signals\": 127,\n \"unmapped_signals\": 30\n },\n \"error\": null\n}\n\n[graph_extractor {\"graph_type\": \"CDFG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"CDFG\",\n...[51000 chars elided]...\n \"node_count\": 128,\n \"edge_count\": 616,\n \"graph_properties\": {\n \"node_types\": {\n \"$shl\": 2,\n \"$xor\": 2,\n \"$ne\": 3,\n \"$not\": 5,\n \"$and\": 5,\n \"$or\": 3,\n \"$logic_not\": 2,\n \"$mux\": 50,\n \"$eq\": 2,\n \"$adffe\": 4,\n \"$reduce_bool\": 5,\n \"$reduce_and\": 4,\n \"$adff\": 2,\n \"sirv_qspi_physical\": 1,\n \"port_input\": 24,\n \"port_output\": 14\n },\n \"avg_degree\": 4.81,\n \"module_name\": \"sirv_qspi_media\"\n },\n \"error\": null\n}", "plan_id": "4d27e1017589", "design_id": "bf04328f80c3", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/riscv-mcu/e203_hbirdv2", "commit": "9f3e34f337f5d0a1236a285871ffa2032491617a", "path": "rtl/e203/perips/sirv_qspi_media.v", "sha256": "f025be99fed8f13907b1778881619a4ebc7f55342c8d734ab6d6dea629d78d5d"}} {"question": "For nv_ram_rwsp_128x11, synthesis at medium optimization gives a critical path of 184.76 with 78 cells. If I follow the delay-targeted optimization advice, what delay improvement and area cost should I expect, and does the cell mix suggest pipelining arithmetic will actually help?", "answer": "The delay-targeted recommendations estimate a -20.0 delay change, which comes with a 10.0 area increase and a 5.0 power increase, starting from a 184.76 critical path and 78 area. The cell mix holds no arithmetic: it is 31 AN2D4PO4 AND gates, 31 NV_BLKBOX_SRC0_X, 12 NV_BLKBOX_SINK, 3 NV_BLKBOX_SRC0 and 1 nv_ram_rwsp_128x11_logic black box, so the suggested pipelining of arithmetic operations probably won't help much, and fanout-reducing duplication with splitnets -driver is the more relevant option.", "source_file": "github_repos/nvdla_hw/vmod/rams/synth/nv_ram_rwsp_128x11.v", "module_name": "nv_ram_rwsp_128x11", "tool_name": "optimization_advisor+synthesis_tool", "tool_parameters": [{"target_metric": "delay"}, {"optimization_level": "medium"}], "tool_result": "[optimization_advisor {\"target_metric\": \"delay\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"delay\",\n \"recommended_recipes\": [\n \"synth -top nv_ram_rwsp_128x11\",\n \"opt -fast\",\n \"abc -fast -liberty stdcells.lib\",\n \"opt_clean\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"pipeline_insertion\",\n \"description\": \"Consider pipelining arithmetic operations\",\n \"command\": \"Use register retiming\"\n },\n {\n \"type\": \"logic_duplication\",\n \"description\": \"Duplicate logic to reduce fanout\",\n \"command\": \"splitnets -driver\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": 10.0,\n \"delay\": -20.0,\n \"power\": 5.0\n },\n \"trade_offs\": [\n \"Speed optimization increases area\",\n \"Higher power consumption\"\n ],\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 78.0,\n \"delay\": 184.76,\n \"power\": 0.078,\n \"gate_count\": 78,\n \"cell_breakdown\": {\n \"AN2D4PO4\": 31,\n \"NV_BLKBOX_SINK\": 12,\n \"NV_BLKBOX_SRC0\": 3,\n \"NV_BLKBOX_SRC0_X\": 31,\n \"nv_ram_rwsp_128x11_logic\": 1\n },\n \"wire_count\": 62,\n \"wire_bits\": 149,\n \"critical_path_estimate\": 184.76,\n...[1209 chars elided]...\n \"error\": null\n}", "category": "multi_tool", "subcategory": "optimization_advisor+synthesis_tool", "difficulty": "compositional", "question_hash": "4d0aaab48c22", "stage1_target": "[{\"tool\": \"optimization_advisor\", \"parameters\": {\"target_metric\": \"delay\"}}, {\"tool\": \"synthesis_tool\", \"parameters\": {\"optimization_level\": \"medium\"}}]", "stage2_context": "Question: For nv_ram_rwsp_128x11, synthesis at medium optimization gives a critical path of 184.76 with 78 cells. If I follow the delay-targeted optimization advice, what delay improvement and area cost should I expect, and does the cell mix suggest pipelining arithmetic will actually help?\n\n[optimization_advisor {\"target_metric\": \"delay\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"delay\",\n \"recommended_recipes\": [\n \"synth -top nv_ram_rwsp_128x11\",\n \"opt -fast\",\n \"abc -fast -liberty stdcells.lib\",\n \"opt_clean\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"pipeline_insertion\",\n \"description\": \"Consider pipelining arithmetic operations\",\n \"command\": \"Use register retiming\"\n },\n {\n \"type\": \"logic_duplication\",\n \"description\": \"Duplicate logic to reduce fanout\",\n \"command\": \"splitnets -driver\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": 10.0,\n \"delay\": -20.0,\n \"power\": 5.0\n },\n \"trade_offs\": [\n \"Speed optimization increases area\",\n \"Higher power consumption\"\n ],\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 78.0,\n \"delay\": 184.76,\n \"power\": 0.078,\n \"gate_count\": 78,\n \"cell_breakdown\": {\n \"AN2D4PO4\": 31,\n \"NV_BLKBOX_SINK\": 12,\n \"NV_BLKBOX_SRC0\": 3,\n \"NV_BLKBOX_SRC0_X\": 31,\n \"nv_ram_rwsp_128x11_logic\": 1\n },\n \"wire_count\": 62,\n \"wire_bits\": 149,\n \"critical_path_estimate\": 184.76,\n...[1209 chars elided]...\n \"error\": null\n}", "plan_id": "39642ae13779", "design_id": "bff636f501c3", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/nvdla/hw", "commit": "8e06b1b9d85aab65b40d43d08eec5ea4681ff715", "path": "vmod/rams/synth/nv_ram_rwsp_128x11.v", "sha256": "319752c081033cc9b51e824abc72c666173f6b0be4a499ae3416c3a57696e75e"}} {"question": "For the and2 module, which is purely combinational (no always blocks and only a handful of continuous assigns), does it make sense to follow a delay-targeted optimization plan that suggests pipelining and logic duplication, and what does that plan cost in area and power?", "answer": "and2 has 0 always blocks, 0 regs and only 3 assign statements, with a cyclomatic complexity of 3, so pipeline insertion via register retiming would mean adding registers the design doesn't have now. The delay-targeted plan (ending in 'abc -fast -liberty stdcells.lib' and 'opt_clean') estimates a -20.0 delay improvement, but area goes up by 10.0 and power by 5.0, so on logic this small, applying just the fast synthesis recipe is probably more sensible than the full pipelining and duplication changes.", "source_file": "github_repos/The-OpenROAD-Project_OpenROAD/src/dbSta/test/check_axioms.v", "module_name": "and2", "tool_name": "optimization_advisor+static_analyzer", "tool_parameters": [{"target_metric": "delay"}, {"analysis_type": "full"}], "tool_result": "[optimization_advisor {\"target_metric\": \"delay\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"delay\",\n \"recommended_recipes\": [\n \"synth -top and2\",\n \"opt -fast\",\n \"abc -fast -liberty stdcells.lib\",\n \"opt_clean\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"pipeline_insertion\",\n \"description\": \"Consider pipelining arithmetic operations\",\n \"command\": \"Use register retiming\"\n },\n {\n \"type\": \"logic_duplication\",\n \"description\": \"Duplicate logic to reduce fanout\",\n \"command\": \"splitnets -driver\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": 10.0,\n \"delay\": -20.0,\n \"power\": 5.0\n },\n \"trade_offs\": [\n \"Speed optimization increases area\",\n \"Higher power consumption\"\n ],\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"and2\",\n \"port_count\": {\n \"inputs\": 5,\n \"outputs\": 4,\n \"inouts\": 0,\n \"total\": 9\n },\n \"signal_count\": {\n \"wires\": 3,\n \"regs\": 0,\n \"parameters\": 0,\n \"total\": 3\n },\n \"always_blocks\": 0,\n \"assign_statements\": 3,\n \"instantiations\": [\n \"empty_module\",\n \"and2\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 22,\n \"total_lines\": 39,\n \"cyclomatic_complexity\": 3,\n \"nesting_depth\": 0,\n \"operator_count\": 28\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "category": "multi_tool", "subcategory": "optimization_advisor+static_analyzer", "difficulty": "compositional", "question_hash": "01a4fba9f250", "stage1_target": "[{\"tool\": \"optimization_advisor\", \"parameters\": {\"target_metric\": \"delay\"}}, {\"tool\": \"static_analyzer\", \"parameters\": {\"analysis_type\": \"full\"}}]", "stage2_context": "Question: For the and2 module, which is purely combinational (no always blocks and only a handful of continuous assigns), does it make sense to follow a delay-targeted optimization plan that suggests pipelining and logic duplication, and what does that plan cost in area and power?\n\n[optimization_advisor {\"target_metric\": \"delay\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"delay\",\n \"recommended_recipes\": [\n \"synth -top and2\",\n \"opt -fast\",\n \"abc -fast -liberty stdcells.lib\",\n \"opt_clean\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"pipeline_insertion\",\n \"description\": \"Consider pipelining arithmetic operations\",\n \"command\": \"Use register retiming\"\n },\n {\n \"type\": \"logic_duplication\",\n \"description\": \"Duplicate logic to reduce fanout\",\n \"command\": \"splitnets -driver\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": 10.0,\n \"delay\": -20.0,\n \"power\": 5.0\n },\n \"trade_offs\": [\n \"Speed optimization increases area\",\n \"Higher power consumption\"\n ],\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"and2\",\n \"port_count\": {\n \"inputs\": 5,\n \"outputs\": 4,\n \"inouts\": 0,\n \"total\": 9\n },\n \"signal_count\": {\n \"wires\": 3,\n \"regs\": 0,\n \"parameters\": 0,\n \"total\": 3\n },\n \"always_blocks\": 0,\n \"assign_statements\": 3,\n \"instantiations\": [\n \"empty_module\",\n \"and2\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 22,\n \"total_lines\": 39,\n \"cyclomatic_complexity\": 3,\n \"nesting_depth\": 0,\n \"operator_count\": 28\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "plan_id": "28115da0786f", "design_id": "c33584acecd9", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/The-OpenROAD-Project/OpenROAD", "commit": "3e3e483a4e3f98e2b5470b272040699de6dedbee", "path": "src/dbSta/test/check_axioms.v", "sha256": "177e4a0668eba9596a1e3b6e42aaadec6018960ce9f1899fca34c54a219c44f7"}} {"question": "In servant_pf, the source has only 1 always block and 1 reg, but the synthesized netlist has a lot of flip-flops. How many synchronous-reset flip-flops and enable flip-flops does it end up with, and how does that compare to the design's static complexity and its synthesized area and delay?", "answer": "The source of servant_pf has 1 always block, 1 reg, 4 assign statements and a cyclomatic complexity of 4, yet the synthesized netlist contains 25 $_SDFF_PP0_ cells and 1 $_DFFE_PP_ cell, along with 23 $_XOR_ and 30 $_AND_ gates, which points to a counter-style reset or clock-generation register built from that single reg. Overall the design synthesizes to 95 cells with an area of 225.0 and a delay of 229.03.", "source_file": "github_repos/olofk_serv/servant/servant_pf.v", "module_name": "servant_pf", "tool_name": "static_analyzer+synthesis_tool", "tool_parameters": [{"analysis_type": "full"}, {"optimization_level": "medium"}], "tool_result": "[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"servant_pf\",\n \"port_count\": {\n \"inputs\": 2,\n \"outputs\": 9,\n \"inouts\": 0,\n \"total\": 11\n },\n \"signal_count\": {\n \"wires\": 15,\n \"regs\": 1,\n \"parameters\": 2,\n \"total\": 16\n },\n \"always_blocks\": 1,\n \"assign_statements\": 4,\n \"instantiations\": [\n \"CLKINT\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 56,\n \"total_lines\": 67,\n \"cyclomatic_complexity\": 4,\n \"nesting_depth\": 3,\n \"operator_count\": 31\n },\n \"lint_warnings\": [],\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 225.0,\n \"delay\": 229.03,\n \"power\": 0.095,\n \"gate_count\": 95,\n \"cell_breakdown\": {\n \"$_ANDNOT_\": 5,\n \"$_AND_\": 30,\n \"$_DFFE_PP_\": 1,\n \"$_NAND_\": 1,\n \"$_NOR_\": 2,\n \"$_NOT_\": 2,\n \"$_ORNOT_\": 1,\n \"$_OR_\": 1,\n \"$_SDFF_PP0_\": 25,\n \"$_XNOR_\": 1,\n \"$_XOR_\": 23,\n \"CLKINT\": 1,\n \"servant\": 1,\n \"servant_pf_clock_gen\": 1\n },\n \"wire_count\": 58,\n \"wire_bits\": 113,\n\n...[1386 chars elided]...\n \"error\": null\n}", "category": "multi_tool", "subcategory": "static_analyzer+synthesis_tool", "difficulty": "compositional", "question_hash": "9fa9b252b591", "stage1_target": "[{\"tool\": \"static_analyzer\", \"parameters\": {\"analysis_type\": \"full\"}}, {\"tool\": \"synthesis_tool\", \"parameters\": {\"optimization_level\": \"medium\"}}]", "stage2_context": "Question: In servant_pf, the source has only 1 always block and 1 reg, but the synthesized netlist has a lot of flip-flops. How many synchronous-reset flip-flops and enable flip-flops does it end up with, and how does that compare to the design's static complexity and its synthesized area and delay?\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"servant_pf\",\n \"port_count\": {\n \"inputs\": 2,\n \"outputs\": 9,\n \"inouts\": 0,\n \"total\": 11\n },\n \"signal_count\": {\n \"wires\": 15,\n \"regs\": 1,\n \"parameters\": 2,\n \"total\": 16\n },\n \"always_blocks\": 1,\n \"assign_statements\": 4,\n \"instantiations\": [\n \"CLKINT\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 56,\n \"total_lines\": 67,\n \"cyclomatic_complexity\": 4,\n \"nesting_depth\": 3,\n \"operator_count\": 31\n },\n \"lint_warnings\": [],\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 225.0,\n \"delay\": 229.03,\n \"power\": 0.095,\n \"gate_count\": 95,\n \"cell_breakdown\": {\n \"$_ANDNOT_\": 5,\n \"$_AND_\": 30,\n \"$_DFFE_PP_\": 1,\n \"$_NAND_\": 1,\n \"$_NOR_\": 2,\n \"$_NOT_\": 2,\n \"$_ORNOT_\": 1,\n \"$_OR_\": 1,\n \"$_SDFF_PP0_\": 25,\n \"$_XNOR_\": 1,\n \"$_XOR_\": 23,\n \"CLKINT\": 1,\n \"servant\": 1,\n \"servant_pf_clock_gen\": 1\n },\n \"wire_count\": 58,\n \"wire_bits\": 113,\n\n...[1386 chars elided]...\n \"error\": null\n}", "plan_id": "bdc24a54c78f", "design_id": "c2d5951564ef", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/olofk/serv", "commit": "f200eb2ed7b69ac1c6b8eddd47654522aeee5ce8", "path": "servant/servant_pf.v", "sha256": "23b19fd34372969d4fea7105ec46536e437d0bba560476fa4c75c77ae7ef5fcf"}} {"question": "For NV_NVDLA_CSC_SG_wt_fifo, I'm planning an area-focused optimization pass. Since the module has a fair number of always blocks and instantiates a flop-RAM submodule, does the suggested memory-inference approach seem worthwhile, and what area gain and delay cost should I expect?", "answer": "NV_NVDLA_CSC_SG_wt_fifo has 13 always blocks and 24 regs, and it instantiates NV_NVDLA_CSC_SG_wt_fifo_flopram_rwsa_4x20, which makes the suggested 'memory -nomap; memory_bram' memory-inference step a reasonable fit. The area-targeted recipe should give an estimated area improvement of -15.0, with a delay change of 5.0, which matches the stated trade-off that area optimization may increase delay.", "source_file": "github_repos/nvdla_hw/vmod/nvdla/csc/NV_NVDLA_CSC_SG_wt_fifo.v", "module_name": "NV_NVDLA_CSC_SG_wt_fifo", "tool_name": "optimization_advisor+static_analyzer", "tool_parameters": [{"target_metric": "area"}, {"analysis_type": "full"}], "tool_result": "[optimization_advisor {\"target_metric\": \"area\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"area\",\n \"recommended_recipes\": [\n \"synth -top NV_NVDLA_CSC_SG_wt_fifo -flatten\",\n \"opt -full; share -aggressive; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean -purge\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"memory_optimization\",\n \"description\": \"Consider using memory inference for large arrays\",\n \"command\": \"memory -nomap; memory_bram\"\n },\n {\n \"type\": \"mux_optimization\",\n \"description\": \"Share multiplexers where possible\",\n \"command\": \"muxcover; opt\"\n },\n {\n \"type\": \"resource_sharing\",\n \"description\": \"Share arithmetic operators\",\n \"command\": \"share -aggressive\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": -15.0,\n \"delay\": 5.0,\n \"power\": -10.0\n },\n \"trade_offs\": [\n \"Area optimization may increase delay\",\n \"Aggressive sharing increases routing complexity\"\n ],\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"NV_NVDLA_CSC_SG_wt_fifo\",\n \"port_count\": {\n \"inputs\": 19,\n \"outputs\": 6,\n \"inouts\": 0,\n \"total\": 25\n },\n \"signal_count\": {\n \"wires\": 38,\n \"regs\": 24,\n \"parameters\": 1,\n \"total\": 62\n },\n \"always_blocks\": 13,\n \"assign_statements\": 16,\n \"instantiations\": [\n \"the\",\n \"Based\",\n \"Clock\",\n \"NV_BLKBOX_SINK\",\n \"NV_CLK_gate_power\",\n \"fifo\",\n \"of\",\n \"vmw_NV_NVDLA_CSC_SG_wt_fifo_flopram_rwsa_4x20\",\n \"set_boundary_optimization\",\n \"perfmon_histogram\",\n \"dangles\",\n \"NV_NVDLA_CSC_SG_wt_fifo_flopram_rwsa_4x20\",\n \"NV_BLKBOX_SRC0\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 402,\n \"total_lines\": 652,\n \"cyclomatic_complexity\": 68,\n \"nesting_depth\": 50,\n \"operator_count\": 737\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "category": "multi_tool", "subcategory": "optimization_advisor+static_analyzer", "difficulty": "compositional", "question_hash": "d055a1620608", "stage1_target": "[{\"tool\": \"optimization_advisor\", \"parameters\": {\"target_metric\": \"area\"}}, {\"tool\": \"static_analyzer\", \"parameters\": {\"analysis_type\": \"full\"}}]", "stage2_context": "Question: For NV_NVDLA_CSC_SG_wt_fifo, I'm planning an area-focused optimization pass. Since the module has a fair number of always blocks and instantiates a flop-RAM submodule, does the suggested memory-inference approach seem worthwhile, and what area gain and delay cost should I expect?\n\n[optimization_advisor {\"target_metric\": \"area\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"area\",\n \"recommended_recipes\": [\n \"synth -top NV_NVDLA_CSC_SG_wt_fifo -flatten\",\n \"opt -full; share -aggressive; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean -purge\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"memory_optimization\",\n \"description\": \"Consider using memory inference for large arrays\",\n \"command\": \"memory -nomap; memory_bram\"\n },\n {\n \"type\": \"mux_optimization\",\n \"description\": \"Share multiplexers where possible\",\n \"command\": \"muxcover; opt\"\n },\n {\n \"type\": \"resource_sharing\",\n \"description\": \"Share arithmetic operators\",\n \"command\": \"share -aggressive\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": -15.0,\n \"delay\": 5.0,\n \"power\": -10.0\n },\n \"trade_offs\": [\n \"Area optimization may increase delay\",\n \"Aggressive sharing increases routing complexity\"\n ],\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"NV_NVDLA_CSC_SG_wt_fifo\",\n \"port_count\": {\n \"inputs\": 19,\n \"outputs\": 6,\n \"inouts\": 0,\n \"total\": 25\n },\n \"signal_count\": {\n \"wires\": 38,\n \"regs\": 24,\n \"parameters\": 1,\n \"total\": 62\n },\n \"always_blocks\": 13,\n \"assign_statements\": 16,\n \"instantiations\": [\n \"the\",\n \"Based\",\n \"Clock\",\n \"NV_BLKBOX_SINK\",\n \"NV_CLK_gate_power\",\n \"fifo\",\n \"of\",\n \"vmw_NV_NVDLA_CSC_SG_wt_fifo_flopram_rwsa_4x20\",\n \"set_boundary_optimization\",\n \"perfmon_histogram\",\n \"dangles\",\n \"NV_NVDLA_CSC_SG_wt_fifo_flopram_rwsa_4x20\",\n \"NV_BLKBOX_SRC0\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 402,\n \"total_lines\": 652,\n \"cyclomatic_complexity\": 68,\n \"nesting_depth\": 50,\n \"operator_count\": 737\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "plan_id": "f665067ae9c5", "design_id": "c3c01aacb669", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/nvdla/hw", "commit": "8e06b1b9d85aab65b40d43d08eec5ea4681ff715", "path": "vmod/nvdla/csc/NV_NVDLA_CSC_SG_wt_fifo.v", "sha256": "1a62bb98d205bc129c941ba29f6be2b52a61c8d6871593cf300b714f3053eaa4"}} {"question": "In dcache_pmem_mux, the select_q register is the only RTL signal with no netlist counterpart, and RTL-to-netlist alignment is below 100%. If I apply the recommended area optimization flow, should I worry that it will make this traceability worse, and what does that flow give up in exchange for its area savings?", "answer": "Right now 16 of 17 RTL signals map to the netlist, which gives an alignment score of 94.12. The only unmapped signal is select_q. The area-targeted flow's recipe flattens the design ('synth -top dcache_pmem_mux -flatten') and runs 'opt_clean -purge', which could hide more registers like select_q. In exchange, it estimates an area improvement of -15.0, at the cost of a 5.0 delay increase, though power also improves by -10.0.", "source_file": "github_repos/ultraembedded_riscv/top_cache_axi/src_v/dcache_pmem_mux.v", "module_name": "dcache_pmem_mux", "tool_name": "cross_stage_mapper+optimization_advisor", "tool_parameters": [{}, {"target_metric": "area"}], "tool_result": "[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"select_i\": [\n \"select_i\"\n ],\n \"clk_i\": [\n \"clk_i\"\n ],\n \"rst_i\": [\n \"rst_i\"\n ],\n \"inport1_ack_o\": [\n \"inport1_ack_o\"\n ],\n \"outport_error_i\": [\n \"outport_error_i\"\n ],\n \"outport_accept_i\": [\n \"outport_accept_i\"\n ],\n \"inport1_rd_i\": [\n \"inport1_rd_i\"\n ],\n \"outport_rd_o\": [\n \"outport_rd_o\"\n ],\n \"inport0_ack_o\": [\n \"inport0_ack_o\"\n ],\n \"inport1_error_o\": [\n \"inport1_error_o\"\n ],\n \"inport0_accept_o\": [\n \"inport0_accept_o\"\n ],\n \"inport0_rd_i\": [\n \"inport0_rd_i\"\n ],\n \"outport_ack_i\": [\n \"outport_ack_i\"\n ],\n \"inport0_error_o\": [\n \"inport0_error_o\"\n ],\n \"outport_rd_r\": [\n \"outport_rd_r\"\n ],\n \"select_q\": [],\n \"inport1_accept_o\": [\n \"inport1_accept_o\"\n ]\n },\n \"alignment_score\": 94.12,\n \"unmapped_elements\": [\n \"select_q\"\n ],\n \"mapping_statistics\": {\n \"rtl_signals\": 17,\n \"netlist_wires\": 433,\n \"netlist_cells\": 0,\n \"mapped_signals\": 16,\n \"unmapped_signals\": 1\n },\n \"error\": null\n}\n\n[optimization_advisor {\"target_metric\": \"area\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"area\",\n \"recommended_recipes\": [\n \"synth -top dcache_pmem_mux -flatten\",\n \"opt -full; share -aggressive; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean -purge\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"mux_optimization\",\n \"description\": \"Share multiplexers where possible\",\n \"command\": \"muxcover; opt\"\n },\n {\n \"type\": \"resource_sharing\",\n \"description\": \"Share arithmetic operators\",\n \"command\": \"share -aggressive\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": -15.0,\n \"delay\": 5.0,\n \"power\": -10.0\n },\n \"trade_offs\": [\n \"Area optimization may increase delay\",\n \"Aggressive sharing increases routing complexity\"\n ],\n \"error\": null\n}", "category": "multi_tool", "subcategory": "cross_stage_mapper+optimization_advisor", "difficulty": "compositional", "question_hash": "c402ba3cff0a", "stage1_target": "[{\"tool\": \"cross_stage_mapper\", \"parameters\": {}}, {\"tool\": \"optimization_advisor\", \"parameters\": {\"target_metric\": \"area\"}}]", "stage2_context": "Question: In dcache_pmem_mux, the select_q register is the only RTL signal with no netlist counterpart, and RTL-to-netlist alignment is below 100%. If I apply the recommended area optimization flow, should I worry that it will make this traceability worse, and what does that flow give up in exchange for its area savings?\n\n[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"select_i\": [\n \"select_i\"\n ],\n \"clk_i\": [\n \"clk_i\"\n ],\n \"rst_i\": [\n \"rst_i\"\n ],\n \"inport1_ack_o\": [\n \"inport1_ack_o\"\n ],\n \"outport_error_i\": [\n \"outport_error_i\"\n ],\n \"outport_accept_i\": [\n \"outport_accept_i\"\n ],\n \"inport1_rd_i\": [\n \"inport1_rd_i\"\n ],\n \"outport_rd_o\": [\n \"outport_rd_o\"\n ],\n \"inport0_ack_o\": [\n \"inport0_ack_o\"\n ],\n \"inport1_error_o\": [\n \"inport1_error_o\"\n ],\n \"inport0_accept_o\": [\n \"inport0_accept_o\"\n ],\n \"inport0_rd_i\": [\n \"inport0_rd_i\"\n ],\n \"outport_ack_i\": [\n \"outport_ack_i\"\n ],\n \"inport0_error_o\": [\n \"inport0_error_o\"\n ],\n \"outport_rd_r\": [\n \"outport_rd_r\"\n ],\n \"select_q\": [],\n \"inport1_accept_o\": [\n \"inport1_accept_o\"\n ]\n },\n \"alignment_score\": 94.12,\n \"unmapped_elements\": [\n \"select_q\"\n ],\n \"mapping_statistics\": {\n \"rtl_signals\": 17,\n \"netlist_wires\": 433,\n \"netlist_cells\": 0,\n \"mapped_signals\": 16,\n \"unmapped_signals\": 1\n },\n \"error\": null\n}\n\n[optimization_advisor {\"target_metric\": \"area\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"area\",\n \"recommended_recipes\": [\n \"synth -top dcache_pmem_mux -flatten\",\n \"opt -full; share -aggressive; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean -purge\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"mux_optimization\",\n \"description\": \"Share multiplexers where possible\",\n \"command\": \"muxcover; opt\"\n },\n {\n \"type\": \"resource_sharing\",\n \"description\": \"Share arithmetic operators\",\n \"command\": \"share -aggressive\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": -15.0,\n \"delay\": 5.0,\n \"power\": -10.0\n },\n \"trade_offs\": [\n \"Area optimization may increase delay\",\n \"Aggressive sharing increases routing complexity\"\n ],\n \"error\": null\n}", "plan_id": "e58c2ead3a52", "design_id": "c523153460c6", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/ultraembedded/riscv", "commit": "7ae6f803e30f78c6ea3121e73c3adf50ff912730", "path": "top_cache_axi/src_v/dcache_pmem_mux.v", "sha256": "545f0b9929802a3fefa836931fc48f3a43887d8ad519edb4fc7eb19fcf98720e"}} {"question": "For NV_NVDLA_GLB_csb, how does the flip-flop count in the AIG compare with the number of always blocks and declared regs in the RTL, and what does the AIG's logic size suggest about how much of the control is combinational?", "answer": "The AIG for NV_NVDLA_GLB_csb has 97 $_DFFE_PP_ and 2 $_DFF_PN0_ flip-flops, which is far more than the 5 regs declared across its 4 always blocks, so most of the register state probably sits in the instantiated NV_NVDLA_GLB_CSB_reg submodule or in multi-bit vectors. Its 360 AND and 392 NOT nodes match the RTL's cyclomatic complexity of 17 and nesting depth of 14, which points to substantial combinational decode logic for the CSB interface.", "source_file": "github_repos/nvdla_hw/vmod/nvdla/glb/NV_NVDLA_GLB_csb.v", "module_name": "NV_NVDLA_GLB_csb", "tool_name": "graph_extractor+static_analyzer", "tool_parameters": [{"graph_type": "AIG"}, {"analysis_type": "full"}], "tool_result": "[graph_extractor {\"graph_type\": \"AIG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"AIG\",\n...[33438 chars elided]...\n \"node_count\": 894,\n \"edge_count\": 2389,\n \"graph_properties\": {\n \"node_types\": {\n \"$_AND_\": 360,\n \"$_NOT_\": 392,\n \"$_DFF_PN0_\": 2,\n \"$_DFFE_PP_\": 97,\n \"NV_NVDLA_GLB_CSB_reg\": 1,\n \"port_input\": 20,\n \"port_output\": 22\n },\n \"avg_degree\": 2.67,\n \"module_name\": \"NV_NVDLA_GLB_csb\"\n },\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"NV_NVDLA_GLB_csb\",\n \"port_count\": {\n \"inputs\": 20,\n \"outputs\": 22,\n \"inouts\": 0,\n \"total\": 42\n },\n \"signal_count\": {\n \"wires\": 36,\n \"regs\": 5,\n \"parameters\": 0,\n \"total\": 41\n },\n \"always_blocks\": 4,\n \"assign_statements\": 40,\n \"instantiations\": [\n \"NV_NVDLA_GLB_CSB_reg\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 257,\n \"total_lines\": 324,\n \"cyclomatic_complexity\": 17,\n \"nesting_depth\": 14,\n \"operator_count\": 857\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "category": "multi_tool", "subcategory": "graph_extractor+static_analyzer", "difficulty": "compositional", "question_hash": "2c9d1ece7cf2", "stage1_target": "[{\"tool\": \"graph_extractor\", \"parameters\": {\"graph_type\": \"AIG\"}}, {\"tool\": \"static_analyzer\", \"parameters\": {\"analysis_type\": \"full\"}}]", "stage2_context": "Question: For NV_NVDLA_GLB_csb, how does the flip-flop count in the AIG compare with the number of always blocks and declared regs in the RTL, and what does the AIG's logic size suggest about how much of the control is combinational?\n\n[graph_extractor {\"graph_type\": \"AIG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"AIG\",\n...[33438 chars elided]...\n \"node_count\": 894,\n \"edge_count\": 2389,\n \"graph_properties\": {\n \"node_types\": {\n \"$_AND_\": 360,\n \"$_NOT_\": 392,\n \"$_DFF_PN0_\": 2,\n \"$_DFFE_PP_\": 97,\n \"NV_NVDLA_GLB_CSB_reg\": 1,\n \"port_input\": 20,\n \"port_output\": 22\n },\n \"avg_degree\": 2.67,\n \"module_name\": \"NV_NVDLA_GLB_csb\"\n },\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"NV_NVDLA_GLB_csb\",\n \"port_count\": {\n \"inputs\": 20,\n \"outputs\": 22,\n \"inouts\": 0,\n \"total\": 42\n },\n \"signal_count\": {\n \"wires\": 36,\n \"regs\": 5,\n \"parameters\": 0,\n \"total\": 41\n },\n \"always_blocks\": 4,\n \"assign_statements\": 40,\n \"instantiations\": [\n \"NV_NVDLA_GLB_CSB_reg\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 257,\n \"total_lines\": 324,\n \"cyclomatic_complexity\": 17,\n \"nesting_depth\": 14,\n \"operator_count\": 857\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "plan_id": "d4474f7a7b49", "design_id": "c6c17a919b77", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/nvdla/hw", "commit": "8e06b1b9d85aab65b40d43d08eec5ea4681ff715", "path": "vmod/nvdla/glb/NV_NVDLA_GLB_csb.v", "sha256": "e4097ebce8a6655687586df1e995c18b97ff799cf3a3b6666c58d7c640d1847d"}} {"question": "In the CDFG of uart_rx, how much of the logic is multiplexing, and given that, how relevant is the area-targeted advice to merge multiplexers, and what area and delay effects should I expect?", "answer": "The CDFG of uart_rx has 101 nodes, including 29 $mux and 7 $pmux cells, so multiplexers make up most of its logic. That makes the advice to share multiplexers with \"muxcover; opt\" relevant. The area-targeted plan estimates an area change of -15.0 and a delay change of 5.0, which matches the stated trade-off that \"Area optimization may increase delay\".", "source_file": "github_repos/riscv-mcu_e203_hbirdv2/rtl/e203/perips/apb_uart/uart_rx.v", "module_name": "uart_rx", "tool_name": "graph_extractor+optimization_advisor", "tool_parameters": [{"graph_type": "CDFG"}, {"target_metric": "area"}], "tool_result": "[graph_extractor {\"graph_type\": \"CDFG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"CDFG\",\n...[55315 chars elided]...\n \"node_count\": 101,\n \"edge_count\": 943,\n \"graph_properties\": {\n \"node_types\": {\n \"$xor\": 1,\n \"$eq\": 14,\n \"$add\": 2,\n \"$ne\": 9,\n \"$not\": 2,\n \"$and\": 1,\n \"$logic_and\": 2,\n \"$logic_not\": 4,\n \"$reduce_bool\": 3,\n \"$adffe\": 5,\n \"$reduce_or\": 1,\n \"$reduce_and\": 4,\n \"$adff\": 3,\n \"$mux\": 29,\n \"$pmux\": 7,\n \"port_input\": 10,\n \"port_output\": 4\n },\n \"avg_degree\": 9.34,\n \"module_name\": \"uart_rx\"\n },\n \"error\": null\n}\n\n[optimization_advisor {\"target_metric\": \"area\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"area\",\n \"recommended_recipes\": [\n \"synth -top uart_rx -flatten\",\n \"opt -full; share -aggressive; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean -purge\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"mux_optimization\",\n \"description\": \"Share multiplexers where possible\",\n \"command\": \"muxcover; opt\"\n },\n {\n \"type\": \"resource_sharing\",\n \"description\": \"Share arithmetic operators\",\n \"command\": \"share -aggressive\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": -15.0,\n \"delay\": 5.0,\n \"power\": -10.0\n },\n \"trade_offs\": [\n \"Area optimization may increase delay\",\n \"Aggressive sharing increases routing complexity\"\n ],\n \"error\": null\n}", "category": "multi_tool", "subcategory": "graph_extractor+optimization_advisor", "difficulty": "compositional", "question_hash": "5576739e8832", "stage1_target": "[{\"tool\": \"graph_extractor\", \"parameters\": {\"graph_type\": \"CDFG\"}}, {\"tool\": \"optimization_advisor\", \"parameters\": {\"target_metric\": \"area\"}}]", "stage2_context": "Question: In the CDFG of uart_rx, how much of the logic is multiplexing, and given that, how relevant is the area-targeted advice to merge multiplexers, and what area and delay effects should I expect?\n\n[graph_extractor {\"graph_type\": \"CDFG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"CDFG\",\n...[55315 chars elided]...\n \"node_count\": 101,\n \"edge_count\": 943,\n \"graph_properties\": {\n \"node_types\": {\n \"$xor\": 1,\n \"$eq\": 14,\n \"$add\": 2,\n \"$ne\": 9,\n \"$not\": 2,\n \"$and\": 1,\n \"$logic_and\": 2,\n \"$logic_not\": 4,\n \"$reduce_bool\": 3,\n \"$adffe\": 5,\n \"$reduce_or\": 1,\n \"$reduce_and\": 4,\n \"$adff\": 3,\n \"$mux\": 29,\n \"$pmux\": 7,\n \"port_input\": 10,\n \"port_output\": 4\n },\n \"avg_degree\": 9.34,\n \"module_name\": \"uart_rx\"\n },\n \"error\": null\n}\n\n[optimization_advisor {\"target_metric\": \"area\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"area\",\n \"recommended_recipes\": [\n \"synth -top uart_rx -flatten\",\n \"opt -full; share -aggressive; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean -purge\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"mux_optimization\",\n \"description\": \"Share multiplexers where possible\",\n \"command\": \"muxcover; opt\"\n },\n {\n \"type\": \"resource_sharing\",\n \"description\": \"Share arithmetic operators\",\n \"command\": \"share -aggressive\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": -15.0,\n \"delay\": 5.0,\n \"power\": -10.0\n },\n \"trade_offs\": [\n \"Area optimization may increase delay\",\n \"Aggressive sharing increases routing complexity\"\n ],\n \"error\": null\n}", "plan_id": "807b68f05109", "design_id": "c709700fa571", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/riscv-mcu/e203_hbirdv2", "commit": "9f3e34f337f5d0a1236a285871ffa2032491617a", "path": "rtl/e203/perips/apb_uart/uart_rx.v", "sha256": "3eaff563777043772c66d1bf504ff5ddcd5723689b53a50444bb90aec618c39a"}} {"question": "For the uart_rx module, how well do the RTL signals carry through to the netlist, and how does that compare with how much control logic the CDFG shows? Specifically, how many RTL signals were left unmapped, and what is the mux and comparator makeup of the CDFG that may explain why registers like reg_data and baud_cnt don't appear under their RTL names?", "answer": "In uart_rx, 21 of 33 RTL signals map to the netlist, giving an alignment score of 63.64, and 12 are unmapped, including reg_data, baud_cnt, reg_bit_count and err_o. The CDFG has 101 nodes and 943 edges and is dominated by control logic: 29 $mux, 7 $pmux, 14 $eq and 9 $ne nodes, plus 5 $adffe and 3 $adff registers. This much mux and comparator logic around the state and counter registers makes it likely that they were merged or renamed during synthesis.", "source_file": "github_repos/riscv-mcu_e203_hbirdv2/rtl/e203/perips/apb_uart/uart_rx.v", "module_name": "uart_rx", "tool_name": "cross_stage_mapper+graph_extractor", "tool_parameters": [{}, {"graph_type": "CDFG"}], "tool_result": "[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"cfg_bits_i\": [\n \"cfg_bits_i\"\n ],\n \"CS\": [],\n \"wire\": [],\n \"set_error\": [\n \"set_error\"\n ],\n \"reg_data_next\": [],\n \"s_rx_fall\": [\n \"s_rx_fall\"\n ],\n \"cfg_parity_en_i\": [\n \"cfg_parity_en_i\"\n ],\n \"rx_data_o\": [\n \"rx_data_o\"\n ],\n \"baudgen_en\": [\n \"baudgen_en\"\n ],\n \"baud_cnt\": [],\n \"cfg_en_i\": [\n \"c\n...[392 chars elided]...\n \"rx_i\"\n ],\n \"cfg_div_i\": [\n \"cfg_div_i\"\n ],\n \"cfg_parity_sel_i\": [\n \"cfg_parity_sel_i\"\n ],\n \"start_bit\": [\n \"start_bit\"\n ],\n \"sampleData\": [\n \"sampleData\"\n ],\n \"cfg_stop_bits_i\": [],\n \"reg_rx_sync\": [],\n \"busy_o\": [\n \"busy_o\"\n ],\n \"rstn_i\": [\n \"rstn_i\"\n ],\n \"reg_bit_count_next\": [],\n \"err_o\": [],\n \"parity_bit\": [\n \"parity_bit_next\"\n ]\n },\n \"alignment_score\": 63.64,\n \"unmapped_elements\": [\n \"CS\",\n \"wire\",\n \"reg_data_next\",\n \"baud_cnt\",\n \"bit_done\",\n \"reg_bit_count\",\n \"reg_data\",\n \"reg\",\n \"cfg_stop_bits_i\",\n \"reg_rx_sync\",\n \"reg_bit_count_next\",\n \"err_o\"\n ],\n \"mapping_statistics\": {\n \"rtl_signals\": 33,\n \"netlist_wires\": 1012,\n \"netlist_cells\": 0,\n \"mapped_signals\": 21,\n \"unmapped_signals\": 12\n },\n \"error\": null\n}\n\n[graph_extractor {\"graph_type\": \"CDFG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"CDFG\",\n...[55315 chars elided]...\n \"node_count\": 101,\n \"edge_count\": 943,\n \"graph_properties\": {\n \"node_types\": {\n \"$xor\": 1,\n \"$eq\": 14,\n \"$add\": 2,\n \"$ne\": 9,\n \"$not\": 2,\n \"$and\": 1,\n \"$logic_and\": 2,\n \"$logic_not\": 4,\n \"$reduce_bool\": 3,\n \"$adffe\": 5,\n \"$reduce_or\": 1,\n \"$reduce_and\": 4,\n \"$adff\": 3,\n \"$mux\": 29,\n \"$pmux\": 7,\n \"port_input\": 10,\n \"port_output\": 4\n },\n \"avg_degree\": 9.34,\n \"module_name\": \"uart_rx\"\n },\n \"error\": null\n}", "category": "multi_tool", "subcategory": "cross_stage_mapper+graph_extractor", "difficulty": "compositional", "question_hash": "052faf14a35a", "stage1_target": "[{\"tool\": \"cross_stage_mapper\", \"parameters\": {}}, {\"tool\": \"graph_extractor\", \"parameters\": {\"graph_type\": \"CDFG\"}}]", "stage2_context": "Question: For the uart_rx module, how well do the RTL signals carry through to the netlist, and how does that compare with how much control logic the CDFG shows? Specifically, how many RTL signals were left unmapped, and what is the mux and comparator makeup of the CDFG that may explain why registers like reg_data and baud_cnt don't appear under their RTL names?\n\n[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"cfg_bits_i\": [\n \"cfg_bits_i\"\n ],\n \"CS\": [],\n \"wire\": [],\n \"set_error\": [\n \"set_error\"\n ],\n \"reg_data_next\": [],\n \"s_rx_fall\": [\n \"s_rx_fall\"\n ],\n \"cfg_parity_en_i\": [\n \"cfg_parity_en_i\"\n ],\n \"rx_data_o\": [\n \"rx_data_o\"\n ],\n \"baudgen_en\": [\n \"baudgen_en\"\n ],\n \"baud_cnt\": [],\n \"cfg_en_i\": [\n \"c\n...[392 chars elided]...\n \"rx_i\"\n ],\n \"cfg_div_i\": [\n \"cfg_div_i\"\n ],\n \"cfg_parity_sel_i\": [\n \"cfg_parity_sel_i\"\n ],\n \"start_bit\": [\n \"start_bit\"\n ],\n \"sampleData\": [\n \"sampleData\"\n ],\n \"cfg_stop_bits_i\": [],\n \"reg_rx_sync\": [],\n \"busy_o\": [\n \"busy_o\"\n ],\n \"rstn_i\": [\n \"rstn_i\"\n ],\n \"reg_bit_count_next\": [],\n \"err_o\": [],\n \"parity_bit\": [\n \"parity_bit_next\"\n ]\n },\n \"alignment_score\": 63.64,\n \"unmapped_elements\": [\n \"CS\",\n \"wire\",\n \"reg_data_next\",\n \"baud_cnt\",\n \"bit_done\",\n \"reg_bit_count\",\n \"reg_data\",\n \"reg\",\n \"cfg_stop_bits_i\",\n \"reg_rx_sync\",\n \"reg_bit_count_next\",\n \"err_o\"\n ],\n \"mapping_statistics\": {\n \"rtl_signals\": 33,\n \"netlist_wires\": 1012,\n \"netlist_cells\": 0,\n \"mapped_signals\": 21,\n \"unmapped_signals\": 12\n },\n \"error\": null\n}\n\n[graph_extractor {\"graph_type\": \"CDFG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"CDFG\",\n...[55315 chars elided]...\n \"node_count\": 101,\n \"edge_count\": 943,\n \"graph_properties\": {\n \"node_types\": {\n \"$xor\": 1,\n \"$eq\": 14,\n \"$add\": 2,\n \"$ne\": 9,\n \"$not\": 2,\n \"$and\": 1,\n \"$logic_and\": 2,\n \"$logic_not\": 4,\n \"$reduce_bool\": 3,\n \"$adffe\": 5,\n \"$reduce_or\": 1,\n \"$reduce_and\": 4,\n \"$adff\": 3,\n \"$mux\": 29,\n \"$pmux\": 7,\n \"port_input\": 10,\n \"port_output\": 4\n },\n \"avg_degree\": 9.34,\n \"module_name\": \"uart_rx\"\n },\n \"error\": null\n}", "plan_id": "2969344f2128", "design_id": "c709700fa571", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/riscv-mcu/e203_hbirdv2", "commit": "9f3e34f337f5d0a1236a285871ffa2032491617a", "path": "rtl/e203/perips/apb_uart/uart_rx.v", "sha256": "3eaff563777043772c66d1bf504ff5ddcd5723689b53a50444bb90aec618c39a"}} {"question": "For servant_ax309, the top level synthesizes to only 2 cells (one servant core and one clock generator) with a critical-path estimate of 61.56. If I follow the power-targeted optimization recommendations, which technique is suggested first, what power improvement is estimated, and is that a reasonable expectation for a wrapper this thin?", "answer": "For power, the main suggestion is clock gating (the 'clockgate' command), with an estimated power improvement of -25.0 and an area and delay cost of 5.0 each. The top level is just 2 cells (servant and servant_ax309_clock_gen) with 6 wires, a delay of 61.56 and a power of 0.002, so the wrapper has almost no registers of its own to gate. Most of any real power saving would have to come from optimizing inside the servant submodule.", "source_file": "github_repos/olofk_serv/servant/servant_ax309.v", "module_name": "servant_ax309", "tool_name": "optimization_advisor+synthesis_tool", "tool_parameters": [{"target_metric": "power"}, {"optimization_level": "medium"}], "tool_result": "[optimization_advisor {\"target_metric\": \"power\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"power\",\n \"recommended_recipes\": [\n \"synth -top servant_ax309\",\n \"opt; share; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean; clockgate\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"clock_gating\",\n \"description\": \"Insert clock gating for registers\",\n \"command\": \"clockgate\"\n },\n {\n \"type\": \"operand_isolation\",\n \"description\": \"Isolate operands when not in use\",\n \"command\": \"Use enable signals for arithmetic\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": 5.0,\n \"delay\": 5.0,\n \"power\": -25.0\n },\n \"trade_offs\": [\n \"Power optimization may add area overhead\",\n \"Clock gating adds timing complexity\"\n ],\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 2.0,\n \"delay\": 61.56,\n \"power\": 0.002,\n \"gate_count\": 2,\n \"cell_breakdown\": {\n \"servant\": 1,\n \"servant_ax309_clock_gen\": 1\n },\n \"wire_count\": 6,\n \"wire_bits\": 6,\n \"critical_path_estimate\": 61.56,\n...[1109 chars elided]...\n \"error\": null\n}", "category": "multi_tool", "subcategory": "optimization_advisor+synthesis_tool", "difficulty": "compositional", "question_hash": "a688d215dd96", "stage1_target": "[{\"tool\": \"optimization_advisor\", \"parameters\": {\"target_metric\": \"power\"}}, {\"tool\": \"synthesis_tool\", \"parameters\": {\"optimization_level\": \"medium\"}}]", "stage2_context": "Question: For servant_ax309, the top level synthesizes to only 2 cells (one servant core and one clock generator) with a critical-path estimate of 61.56. If I follow the power-targeted optimization recommendations, which technique is suggested first, what power improvement is estimated, and is that a reasonable expectation for a wrapper this thin?\n\n[optimization_advisor {\"target_metric\": \"power\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"power\",\n \"recommended_recipes\": [\n \"synth -top servant_ax309\",\n \"opt; share; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean; clockgate\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"clock_gating\",\n \"description\": \"Insert clock gating for registers\",\n \"command\": \"clockgate\"\n },\n {\n \"type\": \"operand_isolation\",\n \"description\": \"Isolate operands when not in use\",\n \"command\": \"Use enable signals for arithmetic\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": 5.0,\n \"delay\": 5.0,\n \"power\": -25.0\n },\n \"trade_offs\": [\n \"Power optimization may add area overhead\",\n \"Clock gating adds timing complexity\"\n ],\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 2.0,\n \"delay\": 61.56,\n \"power\": 0.002,\n \"gate_count\": 2,\n \"cell_breakdown\": {\n \"servant\": 1,\n \"servant_ax309_clock_gen\": 1\n },\n \"wire_count\": 6,\n \"wire_bits\": 6,\n \"critical_path_estimate\": 61.56,\n...[1109 chars elided]...\n \"error\": null\n}", "plan_id": "ba54862c3ce9", "design_id": "c6f6dee30495", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/olofk/serv", "commit": "f200eb2ed7b69ac1c6b8eddd47654522aeee5ce8", "path": "servant/servant_ax309.v", "sha256": "d6f7d214c83cd45cfecffb757ae3e9b20a43f1b642dcea792ddf65aa6e365fbe"}} {"question": "The countdown module's DFG has 3 DFFASRHQNx1_ASAP7_75t_R flip-flops and only a handful of logic cells. If I apply the recommended area optimization, which relies on aggressive operator sharing, how much area reduction should I expect, what does it cost in delay, and does the netlist make that estimate look realistic?", "answer": "The area-targeted flow estimates a -15.0 area change and a 5.0 delay penalty, using the \"share -aggressive\" resource-sharing step. However, the countdown DFG has just 18 nodes and 45 edges: 3 DFFASRHQNx1_ASAP7_75t_R registers plus small gates such as 1 OA21x2_ASAP7_75t_R and 1 AND2x4_ASAP7_75t_R, and no shareable arithmetic operators, so the real gain from sharing is probably much smaller than estimated.", "source_file": "github_repos/The-OpenROAD-Project_OpenROAD/src/cgt/test/countdown_asap7.v", "module_name": "countdown", "tool_name": "graph_extractor+optimization_advisor", "tool_parameters": [{"graph_type": "DFG"}, {"target_metric": "area"}], "tool_result": "[graph_extractor {\"graph_type\": \"DFG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"DFG\",\n...[6819 chars elided]...\n \"node_count\": 18,\n \"edge_count\": 45,\n \"graph_properties\": {\n \"node_types\": {\n \"INVx1_ASAP7_75t_R\": 4,\n \"INVx3_ASAP7_75t_R\": 2,\n \"OA21x2_ASAP7_75t_R\": 1,\n \"NAND2x2_ASAP7_75t_R\": 1,\n \"OR2x2_ASAP7_75t_R\": 1,\n \"OAI21x1_ASAP7_75t_R\": 1,\n \"AND2x4_ASAP7_75t_R\": 1,\n \"TIEHIx1_ASAP7_75t_R\": 1,\n \"DFFASRHQNx1_ASAP7_75t_R\": 3,\n \"port_input\": 2,\n \"port_output\": 1\n },\n \"avg_degree\": 2.5,\n \"module_name\": \"countdown\"\n },\n \"error\": null\n}\n\n[optimization_advisor {\"target_metric\": \"area\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"area\",\n \"recommended_recipes\": [\n \"synth -top countdown -flatten\",\n \"opt -full; share -aggressive; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean -purge\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"resource_sharing\",\n \"description\": \"Share arithmetic operators\",\n \"command\": \"share -aggressive\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": -15.0,\n \"delay\": 5.0,\n \"power\": -10.0\n },\n \"trade_offs\": [\n \"Area optimization may increase delay\",\n \"Aggressive sharing increases routing complexity\"\n ],\n \"error\": null\n}", "category": "multi_tool", "subcategory": "graph_extractor+optimization_advisor", "difficulty": "compositional", "question_hash": "c37d8e21806d", "stage1_target": "[{\"tool\": \"graph_extractor\", \"parameters\": {\"graph_type\": \"DFG\"}}, {\"tool\": \"optimization_advisor\", \"parameters\": {\"target_metric\": \"area\"}}]", "stage2_context": "Question: The countdown module's DFG has 3 DFFASRHQNx1_ASAP7_75t_R flip-flops and only a handful of logic cells. If I apply the recommended area optimization, which relies on aggressive operator sharing, how much area reduction should I expect, what does it cost in delay, and does the netlist make that estimate look realistic?\n\n[graph_extractor {\"graph_type\": \"DFG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"DFG\",\n...[6819 chars elided]...\n \"node_count\": 18,\n \"edge_count\": 45,\n \"graph_properties\": {\n \"node_types\": {\n \"INVx1_ASAP7_75t_R\": 4,\n \"INVx3_ASAP7_75t_R\": 2,\n \"OA21x2_ASAP7_75t_R\": 1,\n \"NAND2x2_ASAP7_75t_R\": 1,\n \"OR2x2_ASAP7_75t_R\": 1,\n \"OAI21x1_ASAP7_75t_R\": 1,\n \"AND2x4_ASAP7_75t_R\": 1,\n \"TIEHIx1_ASAP7_75t_R\": 1,\n \"DFFASRHQNx1_ASAP7_75t_R\": 3,\n \"port_input\": 2,\n \"port_output\": 1\n },\n \"avg_degree\": 2.5,\n \"module_name\": \"countdown\"\n },\n \"error\": null\n}\n\n[optimization_advisor {\"target_metric\": \"area\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"area\",\n \"recommended_recipes\": [\n \"synth -top countdown -flatten\",\n \"opt -full; share -aggressive; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean -purge\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"resource_sharing\",\n \"description\": \"Share arithmetic operators\",\n \"command\": \"share -aggressive\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": -15.0,\n \"delay\": 5.0,\n \"power\": -10.0\n },\n \"trade_offs\": [\n \"Area optimization may increase delay\",\n \"Aggressive sharing increases routing complexity\"\n ],\n \"error\": null\n}", "plan_id": "4e84b5f437e3", "design_id": "c75695847049", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/The-OpenROAD-Project/OpenROAD", "commit": "3e3e483a4e3f98e2b5470b272040699de6dedbee", "path": "src/cgt/test/countdown_asap7.v", "sha256": "e438cc09619d59b7acf9c0eff792da7ff6dc610cc7207e34a21b5c1739a108ec"}} {"question": "For icache_data_ram, synthesis at medium effort gives an area of 173.0 with 32 flip-flops alongside one memory read and one memory write port. If I apply the recommended area-targeted optimizations, including memory inference, what area change should I expect, what does it cost in delay, and is that delay penalty a concern given the current critical path?", "answer": "The current synthesized icache_data_ram has an area of 173.0 and a critical path of 337.01, with 43 AND cells and 32 DFFs plus a 65536-bit memory kept as $memrd/$memwr_v2 cells. The area-targeted recommendations (including \"memory -nomap; memory_bram\" and \"share -aggressive\") estimate a -15.0 area change but a 5.0 delay increase, so you trade a slightly longer critical path for the smaller area.", "source_file": "github_repos/ultraembedded_riscv/top_cache_axi/src_v/icache_data_ram.v", "module_name": "icache_data_ram", "tool_name": "optimization_advisor+synthesis_tool", "tool_parameters": [{"target_metric": "area"}, {"optimization_level": "medium"}], "tool_result": "[optimization_advisor {\"target_metric\": \"area\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"area\",\n \"recommended_recipes\": [\n \"synth -top icache_data_ram -flatten\",\n \"opt -full; share -aggressive; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean -purge\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"memory_optimization\",\n \"description\": \"Consider using memory inference for large arrays\",\n \"command\": \"memory -nomap; memory_bram\"\n },\n {\n \"type\": \"resource_sharing\",\n \"description\": \"Share arithmetic operators\",\n \"command\": \"share -aggressive\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": -15.0,\n \"delay\": 5.0,\n \"power\": -10.0\n },\n \"trade_offs\": [\n \"Area optimization may increase delay\",\n \"Aggressive sharing increases routing complexity\"\n ],\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 173.0,\n \"delay\": 337.01,\n \"power\": 0.077,\n \"gate_count\": 77,\n \"cell_breakdown\": {\n \"$_AND_\": 43,\n \"$_DFF_P_\": 32,\n \"$memrd\": 1,\n \"$memwr_v2\": 1\n },\n \"wire_count\": 10,\n \"wire_bits\": 185,\n \"critical_path_estimate\": 337.01,\n...[1148 chars elided]...\n \"error\": null\n}", "category": "multi_tool", "subcategory": "optimization_advisor+synthesis_tool", "difficulty": "compositional", "question_hash": "173b0626581a", "stage1_target": "[{\"tool\": \"optimization_advisor\", \"parameters\": {\"target_metric\": \"area\"}}, {\"tool\": \"synthesis_tool\", \"parameters\": {\"optimization_level\": \"medium\"}}]", "stage2_context": "Question: For icache_data_ram, synthesis at medium effort gives an area of 173.0 with 32 flip-flops alongside one memory read and one memory write port. If I apply the recommended area-targeted optimizations, including memory inference, what area change should I expect, what does it cost in delay, and is that delay penalty a concern given the current critical path?\n\n[optimization_advisor {\"target_metric\": \"area\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"area\",\n \"recommended_recipes\": [\n \"synth -top icache_data_ram -flatten\",\n \"opt -full; share -aggressive; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean -purge\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"memory_optimization\",\n \"description\": \"Consider using memory inference for large arrays\",\n \"command\": \"memory -nomap; memory_bram\"\n },\n {\n \"type\": \"resource_sharing\",\n \"description\": \"Share arithmetic operators\",\n \"command\": \"share -aggressive\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": -15.0,\n \"delay\": 5.0,\n \"power\": -10.0\n },\n \"trade_offs\": [\n \"Area optimization may increase delay\",\n \"Aggressive sharing increases routing complexity\"\n ],\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 173.0,\n \"delay\": 337.01,\n \"power\": 0.077,\n \"gate_count\": 77,\n \"cell_breakdown\": {\n \"$_AND_\": 43,\n \"$_DFF_P_\": 32,\n \"$memrd\": 1,\n \"$memwr_v2\": 1\n },\n \"wire_count\": 10,\n \"wire_bits\": 185,\n \"critical_path_estimate\": 337.01,\n...[1148 chars elided]...\n \"error\": null\n}", "plan_id": "99df910769a8", "design_id": "ca720a4fed80", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/ultraembedded/riscv", "commit": "7ae6f803e30f78c6ea3121e73c3adf50ff912730", "path": "top_cache_axi/src_v/icache_data_ram.v", "sha256": "de6ba2a00f3d8b78fee11da52ab45156bab22a3cea008364d724cdf48574d280"}} {"question": "For RAMDP_128X6_GL_M2_E2, how does the storage and I/O picture in its DFG compare with the source-level counts of regs, always blocks and ports, and what does the difference suggest about how the RTL elaborates?", "answer": "In the DFG of RAMDP_128X6_GL_M2_E2 there are 774 $dlatch nodes, 57 port_input nodes and 8 port_output nodes, across 2809 nodes in total. The source code declares only 28 regs, 23 always blocks, 39 input ports and 2 output ports. This suggests the procedural blocks, which have no clock, turn into level-sensitive latches during elaboration, and that multi-bit regs and ports split into separate per-bit nodes, so the latch-based storage is much larger than the reg count suggests.", "source_file": "github_repos/nvdla_hw/vmod/rams/model/RAMDP_128X6_GL_M2_E2.v", "module_name": "RAMDP_128X6_GL_M2_E2", "tool_name": "graph_extractor+static_analyzer", "tool_parameters": [{"graph_type": "DFG"}, {"analysis_type": "full"}], "tool_result": "[graph_extractor {\"graph_type\": \"DFG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"DFG\",\n...[59721 chars elided]...\n \"node_count\": 2809,\n \"edge_count\": 12237,\n \"graph_properties\": {\n \"node_types\": {\n \"$and\": 788,\n \"$not\": 139,\n \"$logic_and\": 6,\n \"$reduce_or\": 769,\n \"$dlatch\": 774,\n \"$pmux\": 1,\n \"$eq\": 254,\n \"$logic_not\": 7,\n \"port_input\": 57,\n \"port_output\": 8,\n \"RAM_BANK_RAMDP_128X6_GL_M2_E2\": 1,\n \"$or\": 2,\n \"$mux\": 2,\n \"$paramod$4f03e4f3c8625871ca69b87b262f543748dded48\\\\vram_RAMDP_128X6_GL_M2_E2\": 1\n },\n \"avg_degree\": 4.36,\n \"module_name\": \"RAMDP_128X6_GL_M2_E2\"\n },\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"RAMDP_128X6_GL_M2_E2\",\n \"port_count\": {\n \"inputs\": 39,\n \"outputs\": 2,\n \"inouts\": 0,\n \"total\": 41\n },\n \"signal_count\": {\n \"wires\": 34,\n \"regs\": 28,\n \"parameters\": 6,\n \"total\": 62\n },\n \"always_blocks\": 23,\n \"assign_statements\": 31,\n \"instantiations\": [\n \"endcase\",\n \"generate\",\n \"off\",\n \"RAM_BANK_RAMDP_128X6_GL_M2_E2\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 874,\n \"total_lines\": 1098,\n \"cyclomatic_complexity\": 76,\n \"nesting_depth\": 101,\n \"operator_count\": 1946\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "category": "multi_tool", "subcategory": "graph_extractor+static_analyzer", "difficulty": "compositional", "question_hash": "3479a4c89bf8", "stage1_target": "[{\"tool\": \"graph_extractor\", \"parameters\": {\"graph_type\": \"DFG\"}}, {\"tool\": \"static_analyzer\", \"parameters\": {\"analysis_type\": \"full\"}}]", "stage2_context": "Question: For RAMDP_128X6_GL_M2_E2, how does the storage and I/O picture in its DFG compare with the source-level counts of regs, always blocks and ports, and what does the difference suggest about how the RTL elaborates?\n\n[graph_extractor {\"graph_type\": \"DFG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"DFG\",\n...[59721 chars elided]...\n \"node_count\": 2809,\n \"edge_count\": 12237,\n \"graph_properties\": {\n \"node_types\": {\n \"$and\": 788,\n \"$not\": 139,\n \"$logic_and\": 6,\n \"$reduce_or\": 769,\n \"$dlatch\": 774,\n \"$pmux\": 1,\n \"$eq\": 254,\n \"$logic_not\": 7,\n \"port_input\": 57,\n \"port_output\": 8,\n \"RAM_BANK_RAMDP_128X6_GL_M2_E2\": 1,\n \"$or\": 2,\n \"$mux\": 2,\n \"$paramod$4f03e4f3c8625871ca69b87b262f543748dded48\\\\vram_RAMDP_128X6_GL_M2_E2\": 1\n },\n \"avg_degree\": 4.36,\n \"module_name\": \"RAMDP_128X6_GL_M2_E2\"\n },\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"RAMDP_128X6_GL_M2_E2\",\n \"port_count\": {\n \"inputs\": 39,\n \"outputs\": 2,\n \"inouts\": 0,\n \"total\": 41\n },\n \"signal_count\": {\n \"wires\": 34,\n \"regs\": 28,\n \"parameters\": 6,\n \"total\": 62\n },\n \"always_blocks\": 23,\n \"assign_statements\": 31,\n \"instantiations\": [\n \"endcase\",\n \"generate\",\n \"off\",\n \"RAM_BANK_RAMDP_128X6_GL_M2_E2\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 874,\n \"total_lines\": 1098,\n \"cyclomatic_complexity\": 76,\n \"nesting_depth\": 101,\n \"operator_count\": 1946\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "plan_id": "959d93073c93", "design_id": "cafb738fb6c8", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/nvdla/hw", "commit": "8e06b1b9d85aab65b40d43d08eec5ea4681ff715", "path": "vmod/rams/model/RAMDP_128X6_GL_M2_E2.v", "sha256": "be356ef2c1b9c593351215203eabedd5902f235d5995193ed7fba8bbf7f813ac"}} {"question": "For riscv_decoder, which is purely combinational with 8 assign statements, no always blocks and an operator count of 1112, is the area-targeted recommendation of aggressive operator sharing likely to pay off, and what are the expected area and delay effects?", "answer": "riscv_decoder has 0 always blocks, 8 assign statements and 1112 operators, so it is large combinational decode logic, and running \"share -aggressive\" to share arithmetic operators could cut a lot of redundant logic. The estimated area change is -15.0 and the estimated delay change is 5.0, which matches the stated trade-off that \"Area optimization may increase delay\".", "source_file": "github_repos/ultraembedded_riscv/core/riscv/riscv_decoder.v", "module_name": "riscv_decoder", "tool_name": "optimization_advisor+static_analyzer", "tool_parameters": [{"target_metric": "area"}, {"analysis_type": "full"}], "tool_result": "[optimization_advisor {\"target_metric\": \"area\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"area\",\n \"recommended_recipes\": [\n \"synth -top riscv_decoder -flatten\",\n \"opt -full; share -aggressive; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean -purge\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"resource_sharing\",\n \"description\": \"Share arithmetic operators\",\n \"command\": \"share -aggressive\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": -15.0,\n \"delay\": 5.0,\n \"power\": -10.0\n },\n \"trade_offs\": [\n \"Area optimization may increase delay\",\n \"Aggressive sharing increases routing complexity\"\n ],\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"riscv_decoder\",\n \"port_count\": {\n \"inputs\": 4,\n \"outputs\": 8,\n \"inouts\": 0,\n \"total\": 12\n },\n \"signal_count\": {\n \"wires\": 1,\n \"regs\": 0,\n \"parameters\": 0,\n \"total\": 1\n },\n \"always_blocks\": 0,\n \"assign_statements\": 8,\n \"instantiations\": [\n \"CONSEQUENTIAL\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 183,\n \"total_lines\": 237,\n \"cyclomatic_complexity\": 1,\n \"nesting_depth\": 0,\n \"operator_count\": 1112\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "category": "multi_tool", "subcategory": "optimization_advisor+static_analyzer", "difficulty": "compositional", "question_hash": "ec4907d3d279", "stage1_target": "[{\"tool\": \"optimization_advisor\", \"parameters\": {\"target_metric\": \"area\"}}, {\"tool\": \"static_analyzer\", \"parameters\": {\"analysis_type\": \"full\"}}]", "stage2_context": "Question: For riscv_decoder, which is purely combinational with 8 assign statements, no always blocks and an operator count of 1112, is the area-targeted recommendation of aggressive operator sharing likely to pay off, and what are the expected area and delay effects?\n\n[optimization_advisor {\"target_metric\": \"area\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"area\",\n \"recommended_recipes\": [\n \"synth -top riscv_decoder -flatten\",\n \"opt -full; share -aggressive; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean -purge\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"resource_sharing\",\n \"description\": \"Share arithmetic operators\",\n \"command\": \"share -aggressive\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": -15.0,\n \"delay\": 5.0,\n \"power\": -10.0\n },\n \"trade_offs\": [\n \"Area optimization may increase delay\",\n \"Aggressive sharing increases routing complexity\"\n ],\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"riscv_decoder\",\n \"port_count\": {\n \"inputs\": 4,\n \"outputs\": 8,\n \"inouts\": 0,\n \"total\": 12\n },\n \"signal_count\": {\n \"wires\": 1,\n \"regs\": 0,\n \"parameters\": 0,\n \"total\": 1\n },\n \"always_blocks\": 0,\n \"assign_statements\": 8,\n \"instantiations\": [\n \"CONSEQUENTIAL\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 183,\n \"total_lines\": 237,\n \"cyclomatic_complexity\": 1,\n \"nesting_depth\": 0,\n \"operator_count\": 1112\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "plan_id": "a3b56596e274", "design_id": "cc13a40604a1", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/ultraembedded/riscv", "commit": "7ae6f803e30f78c6ea3121e73c3adf50ff912730", "path": "core/riscv/riscv_decoder.v", "sha256": "aadb8a158a4b5cb52c86a84571542e5ea087450ebbc88e274f29095eadbdb443"}} {"question": "For servile_arbiter, the DFG has only 6 logic operators (3 $and, 1 $mux, 1 $logic_not, 1 $or), but the medium-effort synthesized netlist has 100 cells, 64 of them $_NAND_, and a delay of 187.11. Given how simple that DFG is, is it worth following the delay-targeted optimization advice, and what would it cost in area?", "answer": "The DFG for servile_arbiter is small: 24 nodes, of which 9 are input ports and 9 are output ports, and only 6 are logic operators, so the 100-cell count (64 $_NAND_ and 32 $_ORNOT_) is mostly the operators being repeated across bit width, not deep logic. That makes the 187.11 delay and critical path estimate of 18 a modest target. The delay-targeted recipe estimates a -20.0 delay improvement in exchange for a 10.0 area increase on the current 117.0 area, plus 5.0 more power, so it is worth doing only if this arbiter sits on a timing-critical path.", "source_file": "github_repos/olofk_serv/servile/servile_arbiter.v", "module_name": "servile_arbiter", "tool_name": "graph_extractor+optimization_advisor+synthesis_tool", "tool_parameters": [{"graph_type": "DFG"}, {"target_metric": "delay"}, {"optimization_level": "medium"}], "tool_result": "[graph_extractor {\"graph_type\": \"DFG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"DFG\",\n...[18712 chars elided]...\n \"node_count\": 24,\n \"edge_count\": 111,\n \"graph_properties\": {\n \"node_types\": {\n \"$and\": 3,\n \"$mux\": 1,\n \"$logic_not\": 1,\n \"$or\": 1,\n \"port_input\": 9,\n \"port_output\": 9\n },\n \"avg_degree\": 4.62,\n \"module_name\": \"servile_arbiter\"\n },\n \"error\": null\n}\n\n[optimization_advisor {\"target_metric\": \"delay\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"delay\",\n \"recommended_recipes\": [\n \"synth -top servile_arbiter\",\n \"opt -fast\",\n \"abc -fast -liberty stdcells.lib\",\n \"opt_clean\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"pipeline_insertion\",\n \"description\": \"Consider pipelining arithmetic operations\",\n \"command\": \"Use register retiming\"\n },\n {\n \"type\": \"logic_duplication\",\n \"description\": \"Duplicate logic to reduce fanout\",\n \"command\": \"splitnets -driver\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": 10.0,\n \"delay\": -20.0,\n \"power\": 5.0\n },\n \"trade_offs\": [\n \"Speed optimization increases area\",\n \"Higher power consumption\"\n ],\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 117.0,\n \"delay\": 187.11,\n \"power\": 0.1,\n \"gate_count\": 100,\n \"cell_breakdown\": {\n \"$_ANDNOT_\": 2,\n \"$_AND_\": 1,\n \"$_NAND_\": 64,\n \"$_ORNOT_\": 32,\n \"$_OR_\": 1\n },\n \"wire_count\": 82,\n \"wire_bits\": 336,\n \"critical_path_estimate\": 18\n...[1618 chars elided]...\n \"error\": null\n}", "category": "multi_tool", "subcategory": "graph_extractor+optimization_advisor+synthesis_tool", "difficulty": "compositional", "question_hash": "57ea97dece90", "stage1_target": "[{\"tool\": \"graph_extractor\", \"parameters\": {\"graph_type\": \"DFG\"}}, {\"tool\": \"optimization_advisor\", \"parameters\": {\"target_metric\": \"delay\"}}, {\"tool\": \"synthesis_tool\", \"parameters\": {\"optimization_level\": \"medium\"}}]", "stage2_context": "Question: For servile_arbiter, the DFG has only 6 logic operators (3 $and, 1 $mux, 1 $logic_not, 1 $or), but the medium-effort synthesized netlist has 100 cells, 64 of them $_NAND_, and a delay of 187.11. Given how simple that DFG is, is it worth following the delay-targeted optimization advice, and what would it cost in area?\n\n[graph_extractor {\"graph_type\": \"DFG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"DFG\",\n...[18712 chars elided]...\n \"node_count\": 24,\n \"edge_count\": 111,\n \"graph_properties\": {\n \"node_types\": {\n \"$and\": 3,\n \"$mux\": 1,\n \"$logic_not\": 1,\n \"$or\": 1,\n \"port_input\": 9,\n \"port_output\": 9\n },\n \"avg_degree\": 4.62,\n \"module_name\": \"servile_arbiter\"\n },\n \"error\": null\n}\n\n[optimization_advisor {\"target_metric\": \"delay\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"delay\",\n \"recommended_recipes\": [\n \"synth -top servile_arbiter\",\n \"opt -fast\",\n \"abc -fast -liberty stdcells.lib\",\n \"opt_clean\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"pipeline_insertion\",\n \"description\": \"Consider pipelining arithmetic operations\",\n \"command\": \"Use register retiming\"\n },\n {\n \"type\": \"logic_duplication\",\n \"description\": \"Duplicate logic to reduce fanout\",\n \"command\": \"splitnets -driver\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": 10.0,\n \"delay\": -20.0,\n \"power\": 5.0\n },\n \"trade_offs\": [\n \"Speed optimization increases area\",\n \"Higher power consumption\"\n ],\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 117.0,\n \"delay\": 187.11,\n \"power\": 0.1,\n \"gate_count\": 100,\n \"cell_breakdown\": {\n \"$_ANDNOT_\": 2,\n \"$_AND_\": 1,\n \"$_NAND_\": 64,\n \"$_ORNOT_\": 32,\n \"$_OR_\": 1\n },\n \"wire_count\": 82,\n \"wire_bits\": 336,\n \"critical_path_estimate\": 18\n...[1618 chars elided]...\n \"error\": null\n}", "plan_id": "aa9bc086b800", "design_id": "ccc84f3ac2f9", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 3, "ctx_cap": 3300, "source": {"repository": "https://github.com/olofk/serv", "commit": "f200eb2ed7b69ac1c6b8eddd47654522aeee5ce8", "path": "servile/servile_arbiter.v", "sha256": "69d57d934956fdfa83cb02a24642ecd8b7a28bfa7786c3f515d68d4d07dd5507"}} {"question": "For the scan flip-flop module SDFSNQD1, the RTL-to-netlist mapping leaves one signal unmapped. Which signal is it, and how does that fit with the module's port and register structure and its code complexity?", "answer": "The RTL-to-netlist alignment score for SDFSNQD1 is 83.33, with 5 of 6 RTL signals mapped. The one unmapped signal is the output Q, the module's only output. The module has 5 inputs, 1 output and 1 reg, driven by 1 always block and 1 assign statement, with a cyclomatic complexity of 4.", "source_file": "github_repos/nvdla_hw/vmod/vlibs/SDFSNQD1.v", "module_name": "SDFSNQD1", "tool_name": "cross_stage_mapper+static_analyzer", "tool_parameters": [{}, {"analysis_type": "full"}], "tool_result": "[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"D\": [\n \"D\",\n \"SDN\"\n ],\n \"Q\": [],\n \"SE\": [\n \"SE\"\n ],\n \"SI\": [\n \"SI\"\n ],\n \"CP\": [\n \"CP\"\n ],\n \"SDN\": [\n \"SDN\"\n ]\n },\n \"alignment_score\": 83.33,\n \"unmapped_elements\": [\n \"Q\"\n ],\n \"mapping_statistics\": {\n \"rtl_signals\": 6,\n \"netlist_wires\": 12,\n \"netlist_cells\": 0,\n \"mapped_signals\": 5,\n \"unmapped_signals\": 1\n },\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"SDFSNQD1\",\n \"port_count\": {\n \"inputs\": 5,\n \"outputs\": 1,\n \"inouts\": 0,\n \"total\": 6\n },\n \"signal_count\": {\n \"wires\": 0,\n \"regs\": 1,\n \"parameters\": 0,\n \"total\": 1\n },\n \"always_blocks\": 1,\n \"assign_statements\": 1,\n \"instantiations\": [],\n \"code_complexity\": {\n \"lines_of_code\": 24,\n \"total_lines\": 40,\n \"cyclomatic_complexity\": 4,\n \"nesting_depth\": 1,\n \"operator_count\": 151\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "category": "multi_tool", "subcategory": "cross_stage_mapper+static_analyzer", "difficulty": "compositional", "question_hash": "133972acb291", "stage1_target": "[{\"tool\": \"cross_stage_mapper\", \"parameters\": {}}, {\"tool\": \"static_analyzer\", \"parameters\": {\"analysis_type\": \"full\"}}]", "stage2_context": "Question: For the scan flip-flop module SDFSNQD1, the RTL-to-netlist mapping leaves one signal unmapped. Which signal is it, and how does that fit with the module's port and register structure and its code complexity?\n\n[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"D\": [\n \"D\",\n \"SDN\"\n ],\n \"Q\": [],\n \"SE\": [\n \"SE\"\n ],\n \"SI\": [\n \"SI\"\n ],\n \"CP\": [\n \"CP\"\n ],\n \"SDN\": [\n \"SDN\"\n ]\n },\n \"alignment_score\": 83.33,\n \"unmapped_elements\": [\n \"Q\"\n ],\n \"mapping_statistics\": {\n \"rtl_signals\": 6,\n \"netlist_wires\": 12,\n \"netlist_cells\": 0,\n \"mapped_signals\": 5,\n \"unmapped_signals\": 1\n },\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"SDFSNQD1\",\n \"port_count\": {\n \"inputs\": 5,\n \"outputs\": 1,\n \"inouts\": 0,\n \"total\": 6\n },\n \"signal_count\": {\n \"wires\": 0,\n \"regs\": 1,\n \"parameters\": 0,\n \"total\": 1\n },\n \"always_blocks\": 1,\n \"assign_statements\": 1,\n \"instantiations\": [],\n \"code_complexity\": {\n \"lines_of_code\": 24,\n \"total_lines\": 40,\n \"cyclomatic_complexity\": 4,\n \"nesting_depth\": 1,\n \"operator_count\": 151\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "plan_id": "caba613346d2", "design_id": "d15319c7d0e7", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/nvdla/hw", "commit": "8e06b1b9d85aab65b40d43d08eec5ea4681ff715", "path": "vmod/vlibs/SDFSNQD1.v", "sha256": "5e1829db211c5a52d248a1029e5d3a532c5ea5a073c53ddce761ca83ecfd3a68"}} {"question": "For NV_NVDLA_CMAC_CORE_slcg, the medium-effort synthesized netlist has only a few cells. How many RTL signals does it have, and how many survive as mapped netlist signals? How does that compare with the netlist's cell and wire counts?", "answer": "The RTL for NV_NVDLA_CMAC_CORE_slcg has 29 signals. Only 10 of them map to the netlist and 19 are unmapped, which is mostly testpoint, monitor and assertion logic like testpoint_0_count_0 and done_monitor_0. The synthesized netlist has just 5 cells (2 $_NAND_, 1 $_NOR_, 1 $_OR_ and 1 NV_CLK_gate_power) and 12 wires, with an area of 5.0 and a critical-path delay of 71.31.", "source_file": "github_repos/nvdla_hw/vmod/nvdla/cmac/NV_NVDLA_CMAC_CORE_slcg.v", "module_name": "NV_NVDLA_CMAC_CORE_slcg", "tool_name": "cross_stage_mapper+synthesis_tool", "tool_parameters": [{}, {"optimization_level": "medium"}], "tool_result": "[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"assert2slcg_disable_clock_gating_0\": [],\n \"testpoint_got_reset_testpoint_0_internal_nvdla_core_rstn_with_clock_testpoint_0_internal_nvdla_core_clk\": [],\n \"testpoint_0_count_0\": [],\n \"dla_clk_ovr_on_sync\": [\n \"dla_clk_ovr_on_sync\"\n ],\n \"nvdla_core_clk_slcg_0_icg_override_to_gateable\": [],\n \"testpoint_0_internal_nvdla_core_clk\": [],\n \"enable\": [\n \n...[1431 chars elided]...\n_count_0\",\n \"nvdla_core_clk_slcg_0_icg_override_to_gateable\",\n \"testpoint_0_internal_nvdla_core_clk\",\n \"nvdla_core_clk_slcg_0_icg_override_to_ungated\",\n \"testpoint_0_internal_nvdla_core_rstn\",\n \"nvdla_core_clk_slcg_0_icg_disable_eos\",\n \"done_monitor_0\",\n \"testpoint_1_count_0\",\n \"testpoint_1_internal_nvdla_core_clk\",\n \"testpoint_0_goal_0\",\n \"testpoint_1_goal_0\",\n \"testpoint_got_reset_testpoint_1_internal_nvdla_core_rstn_with_clock_testpoint_1_internal_nvdla_core_clk\",\n \"testpoint_1_internal_nvdla_core_rstn\",\n \"testpoint_0_goal_0_active\",\n \"testpoint_1_goal_0_active\",\n \"nvdla_core_clk_slcg_0_end_of_sim_clock_enable\",\n \"monitor_icg_summary_0\"\n ],\n \"mapping_statistics\": {\n \"rtl_signals\": 29,\n \"netlist_wires\": 21,\n \"netlist_cells\": 0,\n \"mapped_signals\": 10,\n \"unmapped_signals\": 19\n },\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 5.0,\n \"delay\": 71.31,\n \"power\": 0.005,\n \"gate_count\": 5,\n \"cell_breakdown\": {\n \"$_NAND_\": 2,\n \"$_NOR_\": 1,\n \"$_OR_\": 1,\n \"NV_CLK_gate_power\": 1\n },\n \"wire_count\": 12,\n \"wire_bits\": 12,\n \"critical_path_estimate\": 71.31,\n...[1145 chars elided]...\n \"error\": null\n}", "category": "multi_tool", "subcategory": "cross_stage_mapper+synthesis_tool", "difficulty": "compositional", "question_hash": "fd477cb87193", "stage1_target": "[{\"tool\": \"cross_stage_mapper\", \"parameters\": {}}, {\"tool\": \"synthesis_tool\", \"parameters\": {\"optimization_level\": \"medium\"}}]", "stage2_context": "Question: For NV_NVDLA_CMAC_CORE_slcg, the medium-effort synthesized netlist has only a few cells. How many RTL signals does it have, and how many survive as mapped netlist signals? How does that compare with the netlist's cell and wire counts?\n\n[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"assert2slcg_disable_clock_gating_0\": [],\n \"testpoint_got_reset_testpoint_0_internal_nvdla_core_rstn_with_clock_testpoint_0_internal_nvdla_core_clk\": [],\n \"testpoint_0_count_0\": [],\n \"dla_clk_ovr_on_sync\": [\n \"dla_clk_ovr_on_sync\"\n ],\n \"nvdla_core_clk_slcg_0_icg_override_to_gateable\": [],\n \"testpoint_0_internal_nvdla_core_clk\": [],\n \"enable\": [\n \n...[1431 chars elided]...\n_count_0\",\n \"nvdla_core_clk_slcg_0_icg_override_to_gateable\",\n \"testpoint_0_internal_nvdla_core_clk\",\n \"nvdla_core_clk_slcg_0_icg_override_to_ungated\",\n \"testpoint_0_internal_nvdla_core_rstn\",\n \"nvdla_core_clk_slcg_0_icg_disable_eos\",\n \"done_monitor_0\",\n \"testpoint_1_count_0\",\n \"testpoint_1_internal_nvdla_core_clk\",\n \"testpoint_0_goal_0\",\n \"testpoint_1_goal_0\",\n \"testpoint_got_reset_testpoint_1_internal_nvdla_core_rstn_with_clock_testpoint_1_internal_nvdla_core_clk\",\n \"testpoint_1_internal_nvdla_core_rstn\",\n \"testpoint_0_goal_0_active\",\n \"testpoint_1_goal_0_active\",\n \"nvdla_core_clk_slcg_0_end_of_sim_clock_enable\",\n \"monitor_icg_summary_0\"\n ],\n \"mapping_statistics\": {\n \"rtl_signals\": 29,\n \"netlist_wires\": 21,\n \"netlist_cells\": 0,\n \"mapped_signals\": 10,\n \"unmapped_signals\": 19\n },\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 5.0,\n \"delay\": 71.31,\n \"power\": 0.005,\n \"gate_count\": 5,\n \"cell_breakdown\": {\n \"$_NAND_\": 2,\n \"$_NOR_\": 1,\n \"$_OR_\": 1,\n \"NV_CLK_gate_power\": 1\n },\n \"wire_count\": 12,\n \"wire_bits\": 12,\n \"critical_path_estimate\": 71.31,\n...[1145 chars elided]...\n \"error\": null\n}", "plan_id": "8b63786e5533", "design_id": "d1a018f10603", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/nvdla/hw", "commit": "8e06b1b9d85aab65b40d43d08eec5ea4681ff715", "path": "vmod/nvdla/cmac/NV_NVDLA_CMAC_CORE_slcg.v", "sha256": "c86a859862554e1fd84af71c7ebfc0c178b9782ac234d73931dd7cae46957b2d"}} {"question": "The dummy module is already a flat, gate-level netlist made of instantiated cells, with 4 inputs and 6 outputs. Given that, how much should I expect from an area-targeted optimization flow that relies on aggressive arithmetic resource sharing, and what would it cost me?", "answer": "The area-targeted flow estimates a -15.0 area change and a -10.0 power change, but delay worsens by 5.0, and aggressive sharing also adds routing complexity. dummy has 0 always blocks and 0 assign statements, a cyclomatic complexity of 1, and only instantiated cells such as sky130_fd_sc_hd__xnor2_1 and sky130_fd_sc_hd__and2_1. That means the 'share -aggressive' step probably has very few arithmetic operators to merge, so the real area gain is likely to be smaller than the estimate.", "source_file": "github_repos/The-OpenROAD-Project_OpenROAD/src/upf/test/data/isolation/mpd_top.v", "module_name": "dummy", "tool_name": "optimization_advisor+static_analyzer", "tool_parameters": [{"target_metric": "area"}, {"analysis_type": "full"}], "tool_result": "[optimization_advisor {\"target_metric\": \"area\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"area\",\n \"recommended_recipes\": [\n \"synth -top dummy -flatten\",\n \"opt -full; share -aggressive; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean -purge\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"resource_sharing\",\n \"description\": \"Share arithmetic operators\",\n \"command\": \"share -aggressive\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": -15.0,\n \"delay\": 5.0,\n \"power\": -10.0\n },\n \"trade_offs\": [\n \"Area optimization may increase delay\",\n \"Aggressive sharing increases routing complexity\"\n ],\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"dummy\",\n \"port_count\": {\n \"inputs\": 4,\n \"outputs\": 6,\n \"inouts\": 0,\n \"total\": 10\n },\n \"signal_count\": {\n \"wires\": 13,\n \"regs\": 0,\n \"parameters\": 0,\n \"total\": 13\n },\n \"always_blocks\": 0,\n \"assign_statements\": 0,\n \"instantiations\": [\n \"sky130_fd_sc_hd__xnor2_1\",\n \"sky130_fd_sc_hd__and2_1\",\n \"sky130_fd_sc_hd__buf_4\",\n \"dummy\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 89,\n \"total_lines\": 92,\n \"cyclomatic_complexity\": 1,\n \"nesting_depth\": 0,\n \"operator_count\": 9\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "category": "multi_tool", "subcategory": "optimization_advisor+static_analyzer", "difficulty": "compositional", "question_hash": "d1dd3c4a6b5f", "stage1_target": "[{\"tool\": \"optimization_advisor\", \"parameters\": {\"target_metric\": \"area\"}}, {\"tool\": \"static_analyzer\", \"parameters\": {\"analysis_type\": \"full\"}}]", "stage2_context": "Question: The dummy module is already a flat, gate-level netlist made of instantiated cells, with 4 inputs and 6 outputs. Given that, how much should I expect from an area-targeted optimization flow that relies on aggressive arithmetic resource sharing, and what would it cost me?\n\n[optimization_advisor {\"target_metric\": \"area\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"area\",\n \"recommended_recipes\": [\n \"synth -top dummy -flatten\",\n \"opt -full; share -aggressive; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean -purge\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"resource_sharing\",\n \"description\": \"Share arithmetic operators\",\n \"command\": \"share -aggressive\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": -15.0,\n \"delay\": 5.0,\n \"power\": -10.0\n },\n \"trade_offs\": [\n \"Area optimization may increase delay\",\n \"Aggressive sharing increases routing complexity\"\n ],\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"dummy\",\n \"port_count\": {\n \"inputs\": 4,\n \"outputs\": 6,\n \"inouts\": 0,\n \"total\": 10\n },\n \"signal_count\": {\n \"wires\": 13,\n \"regs\": 0,\n \"parameters\": 0,\n \"total\": 13\n },\n \"always_blocks\": 0,\n \"assign_statements\": 0,\n \"instantiations\": [\n \"sky130_fd_sc_hd__xnor2_1\",\n \"sky130_fd_sc_hd__and2_1\",\n \"sky130_fd_sc_hd__buf_4\",\n \"dummy\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 89,\n \"total_lines\": 92,\n \"cyclomatic_complexity\": 1,\n \"nesting_depth\": 0,\n \"operator_count\": 9\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "plan_id": "49f466519c36", "design_id": "d3604392b5b3", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/The-OpenROAD-Project/OpenROAD", "commit": "3e3e483a4e3f98e2b5470b272040699de6dedbee", "path": "src/upf/test/data/isolation/mpd_top.v", "sha256": "1bb7b6b0f15ff1ebbd83a87b10a6f466907b91eded8116813dc98d922a0fcd95"}} {"question": "For dcache_if_pmem, how do the register cells in its CDFG compare with the flip-flops left after medium-effort synthesis, and what area and delay does that synthesized design have?", "answer": "The CDFG of dcache_if_pmem has 123 nodes, and its registers appear as only 7 $adffe, 4 $dffe and 1 $adff word-level cells. After synthesis these become bit-level flip-flops, mostly 140 $_DFFE_PP_ plus 1 $_DFFE_PP0P_ and 1 $_DFF_PP0_, out of 492 total gates. The synthesized design has an area of 744.0 and a delay of 318.3.", "source_file": "github_repos/ultraembedded_riscv/top_cache_axi/src_v/dcache_if_pmem.v", "module_name": "dcache_if_pmem", "tool_name": "graph_extractor+synthesis_tool", "tool_parameters": [{"graph_type": "CDFG"}, {"optimization_level": "medium"}], "tool_result": "[graph_extractor {\"graph_type\": \"CDFG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"CDFG\",\n...[55709 chars elided]...\n \"node_count\": 123,\n \"edge_count\": 1605,\n \"graph_properties\": {\n \"node_types\": {\n \"$add\": 6,\n \"$and\": 11,\n \"$not\": 11,\n \"$sub\": 2,\n \"$reduce_bool\": 7,\n \"$ne\": 2,\n \"$adffe\": 7,\n \"$dffe\": 4,\n \"$reduce_and\": 4,\n \"$pmux\": 2,\n \"$mux\": 11,\n \"port_input\": 25,\n \"port_output\": 16,\n \"$logic_or\": 7,\n \"$logic_and\": 3,\n \"$logic_not\": 2,\n \"$adff\": 1,\n \"$paramod$11870cd9c2a20c01840a63b639aba45273126593\\\\dcache_if_pmem_fifo\": 1,\n \"$paramod$5d80903b9c164f49fb8886f3e9a7d3f0114ec7cf\\\\dcache_if_pmem_fifo\": 1\n },\n \"avg_degree\": 13.05,\n \"module_name\": \"dcache_if_pmem\"\n },\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 744.0,\n \"delay\": 318.3,\n \"power\": 0.492,\n \"gate_count\": 492,\n \"cell_breakdown\": {\n \"$_ANDNOT_\": 4,\n \"$_AND_\": 11,\n \"$_DFFE_PP0P_\": 1,\n \"$_DFFE_PP_\": 140,\n \"$_NAND_\": 2,\n \"$_NOT_\": 7,\n \"$_ORNOT_\": 1,\n \"$_OR_\": 8,\n \"$_XNOR_\": 1,\n \"$_XOR_\": 1,\n \"$_DFF_PP0_\": 1,\n \"$_NOR_\": 4,\n \"$paramod$11870cd9c2a20c01840a63b639aba45273126593\\\\dcache_if_pmem_fifo\": 1,\n \"$p\n...[1480 chars elided]...\n \"error\": null\n}", "category": "multi_tool", "subcategory": "graph_extractor+synthesis_tool", "difficulty": "compositional", "question_hash": "8a2160cad271", "stage1_target": "[{\"tool\": \"graph_extractor\", \"parameters\": {\"graph_type\": \"CDFG\"}}, {\"tool\": \"synthesis_tool\", \"parameters\": {\"optimization_level\": \"medium\"}}]", "stage2_context": "Question: For dcache_if_pmem, how do the register cells in its CDFG compare with the flip-flops left after medium-effort synthesis, and what area and delay does that synthesized design have?\n\n[graph_extractor {\"graph_type\": \"CDFG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"CDFG\",\n...[55709 chars elided]...\n \"node_count\": 123,\n \"edge_count\": 1605,\n \"graph_properties\": {\n \"node_types\": {\n \"$add\": 6,\n \"$and\": 11,\n \"$not\": 11,\n \"$sub\": 2,\n \"$reduce_bool\": 7,\n \"$ne\": 2,\n \"$adffe\": 7,\n \"$dffe\": 4,\n \"$reduce_and\": 4,\n \"$pmux\": 2,\n \"$mux\": 11,\n \"port_input\": 25,\n \"port_output\": 16,\n \"$logic_or\": 7,\n \"$logic_and\": 3,\n \"$logic_not\": 2,\n \"$adff\": 1,\n \"$paramod$11870cd9c2a20c01840a63b639aba45273126593\\\\dcache_if_pmem_fifo\": 1,\n \"$paramod$5d80903b9c164f49fb8886f3e9a7d3f0114ec7cf\\\\dcache_if_pmem_fifo\": 1\n },\n \"avg_degree\": 13.05,\n \"module_name\": \"dcache_if_pmem\"\n },\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 744.0,\n \"delay\": 318.3,\n \"power\": 0.492,\n \"gate_count\": 492,\n \"cell_breakdown\": {\n \"$_ANDNOT_\": 4,\n \"$_AND_\": 11,\n \"$_DFFE_PP0P_\": 1,\n \"$_DFFE_PP_\": 140,\n \"$_NAND_\": 2,\n \"$_NOT_\": 7,\n \"$_ORNOT_\": 1,\n \"$_OR_\": 8,\n \"$_XNOR_\": 1,\n \"$_XOR_\": 1,\n \"$_DFF_PP0_\": 1,\n \"$_NOR_\": 4,\n \"$paramod$11870cd9c2a20c01840a63b639aba45273126593\\\\dcache_if_pmem_fifo\": 1,\n \"$p\n...[1480 chars elided]...\n \"error\": null\n}", "plan_id": "3a69118fddce", "design_id": "d3fd647a83c8", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/ultraembedded/riscv", "commit": "7ae6f803e30f78c6ea3121e73c3adf50ff912730", "path": "top_cache_axi/src_v/dcache_if_pmem.v", "sha256": "d5d51714b56c3a32afd79c09ad640c6e6ae6d56a7c6fe1602b106d5f16008398"}} {"question": "For RAMDP_20X288_GL_M1_E2, which has 23 always blocks and instantiates RAM_BANK_RAMDP_20X288_GL_M1_E2, should I go after area through memory inference and multiplexer sharing? What area gain can I expect, and what does it cost in delay?", "answer": "Yes. The module has 23 always blocks, 23 regs and a cyclomatic complexity of 68, and it instantiates RAM_BANK_RAMDP_20X288_GL_M1_E2, so it suits the suggested 'memory -nomap; memory_bram' and 'muxcover; opt' steps. The area-targeted flow estimates a -15.0 area change and -10.0 power, but delay goes up by 5.0, because area optimization can increase delay and aggressive sharing adds routing complexity.", "source_file": "github_repos/nvdla_hw/vmod/rams/model/RAMDP_20X288_GL_M1_E2.v", "module_name": "RAMDP_20X288_GL_M1_E2", "tool_name": "optimization_advisor+static_analyzer", "tool_parameters": [{"target_metric": "area"}, {"analysis_type": "full"}], "tool_result": "[optimization_advisor {\"target_metric\": \"area\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"area\",\n \"recommended_recipes\": [\n \"synth -top RAMDP_20X288_GL_M1_E2 -flatten\",\n \"opt -full; share -aggressive; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean -purge\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"memory_optimization\",\n \"description\": \"Consider using memory inference for large arrays\",\n \"command\": \"memory -nomap; memory_bram\"\n },\n {\n \"type\": \"mux_optimization\",\n \"description\": \"Share multiplexers where possible\",\n \"command\": \"muxcover; opt\"\n },\n {\n \"type\": \"resource_sharing\",\n \"description\": \"Share arithmetic operators\",\n \"command\": \"share -aggressive\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": -15.0,\n \"delay\": 5.0,\n \"power\": -10.0\n },\n \"trade_offs\": [\n \"Area optimization may increase delay\",\n \"Aggressive sharing increases routing complexity\"\n ],\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"RAMDP_20X288_GL_M1_E2\",\n \"port_count\": {\n \"inputs\": 41,\n \"outputs\": 2,\n \"inouts\": 0,\n \"total\": 43\n },\n \"signal_count\": {\n \"wires\": 38,\n \"regs\": 23,\n \"parameters\": 6,\n \"total\": 61\n },\n \"always_blocks\": 23,\n \"assign_statements\": 31,\n \"instantiations\": [\n \"generate\",\n \"off\",\n \"RAM_BANK_RAMDP_20X288_GL_M1_E2\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 727,\n \"total_lines\": 952,\n \"cyclomatic_complexity\": 68,\n \"nesting_depth\": 92,\n \"operator_count\": 1662\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "category": "multi_tool", "subcategory": "optimization_advisor+static_analyzer", "difficulty": "compositional", "question_hash": "39e88375a70d", "stage1_target": "[{\"tool\": \"optimization_advisor\", \"parameters\": {\"target_metric\": \"area\"}}, {\"tool\": \"static_analyzer\", \"parameters\": {\"analysis_type\": \"full\"}}]", "stage2_context": "Question: For RAMDP_20X288_GL_M1_E2, which has 23 always blocks and instantiates RAM_BANK_RAMDP_20X288_GL_M1_E2, should I go after area through memory inference and multiplexer sharing? What area gain can I expect, and what does it cost in delay?\n\n[optimization_advisor {\"target_metric\": \"area\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"area\",\n \"recommended_recipes\": [\n \"synth -top RAMDP_20X288_GL_M1_E2 -flatten\",\n \"opt -full; share -aggressive; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean -purge\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"memory_optimization\",\n \"description\": \"Consider using memory inference for large arrays\",\n \"command\": \"memory -nomap; memory_bram\"\n },\n {\n \"type\": \"mux_optimization\",\n \"description\": \"Share multiplexers where possible\",\n \"command\": \"muxcover; opt\"\n },\n {\n \"type\": \"resource_sharing\",\n \"description\": \"Share arithmetic operators\",\n \"command\": \"share -aggressive\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": -15.0,\n \"delay\": 5.0,\n \"power\": -10.0\n },\n \"trade_offs\": [\n \"Area optimization may increase delay\",\n \"Aggressive sharing increases routing complexity\"\n ],\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"RAMDP_20X288_GL_M1_E2\",\n \"port_count\": {\n \"inputs\": 41,\n \"outputs\": 2,\n \"inouts\": 0,\n \"total\": 43\n },\n \"signal_count\": {\n \"wires\": 38,\n \"regs\": 23,\n \"parameters\": 6,\n \"total\": 61\n },\n \"always_blocks\": 23,\n \"assign_statements\": 31,\n \"instantiations\": [\n \"generate\",\n \"off\",\n \"RAM_BANK_RAMDP_20X288_GL_M1_E2\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 727,\n \"total_lines\": 952,\n \"cyclomatic_complexity\": 68,\n \"nesting_depth\": 92,\n \"operator_count\": 1662\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "plan_id": "d065ea212134", "design_id": "d6383e044910", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/nvdla/hw", "commit": "8e06b1b9d85aab65b40d43d08eec5ea4681ff715", "path": "vmod/rams/model/RAMDP_20X288_GL_M1_E2.v", "sha256": "5869125191c3cf11800a10eff69cef40b31ec94e74fa357ab012a4d2a635f904"}} {"question": "For the gcd module, I'm planning a power-targeted optimization pass. Given how cleanly the RTL signals line up with the netlist wires, how much power reduction should I expect, what does it cost me in area, and will the RTL-to-netlist traceability give me enough confidence to check the clock-gating changes?", "answer": "All 353 RTL signals map to the 353 netlist wires with an alignment score of 100.0 and no unmapped elements, so the gcd netlist traces back to the RTL cleanly enough to check the changes. The power-targeted recipe, which ends with \"opt_clean; clockgate\" and adds operand isolation, is estimated to change power by -25.0 at a cost of 5.0 in area and 5.0 in delay. The trade-off is that clock gating adds timing complexity.", "source_file": "github_repos/The-OpenROAD-Project_OpenROAD/src/rsz/test/gcd_asap7_cts.v", "module_name": "gcd", "tool_name": "cross_stage_mapper+optimization_advisor", "tool_parameters": [{}, {"target_metric": "power"}], "tool_result": "[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"_191_\": [\n \"_191_\"\n ],\n \"_083_\": [\n \"_083_\"\n ],\n \"clknet_2_0__leaf_clk\": [\n \"clknet_2_0__leaf_clk\"\n ],\n \"_214_\": [\n \"_214_\"\n ],\n \"_283_\": [\n \"_283_\"\n ],\n \"_030_\": [\n \"_030_\"\n ],\n \"_224_\": [\n \"_224_\"\n ],\n \"_073_\": [\n \"_073_\"\n ],\n \"net9\": [\n \"net9\"\n ],\n \"_085_\": [\n \"_085_\"\n\n...[12304 chars elided]...\n [\n \"_138_\"\n ],\n \"_137_\": [\n \"_137_\"\n ],\n \"_058_\": [\n \"_058_\"\n ],\n \"_108_\": [\n \"_108_\"\n ],\n \"_039_\": [\n \"_039_\"\n ],\n \"_189_\": [\n \"_189_\"\n ],\n \"_246_\": [\n \"_246_\"\n ],\n \"_241_\": [\n \"_241_\"\n ],\n \"_293_\": [\n \"_293_\"\n ],\n \"_130_\": [\n \"_130_\"\n ],\n \"_095_\": [\n \"_095_\"\n ],\n \"_229_\": [\n \"_229_\"\n ],\n \"_288_\": [\n \"_288_\"\n ],\n \"_140_\": [\n \"_140_\"\n ],\n \"req_rdy\": [\n \"req_rdy\"\n ],\n \"_261_\": [\n \"_261_\"\n ],\n \"_059_\": [\n \"_059_\"\n ],\n \"net17\": [\n \"net17\"\n ]\n },\n \"alignment_score\": 100.0,\n \"unmapped_elements\": [],\n \"mapping_statistics\": {\n \"rtl_signals\": 353,\n \"netlist_wires\": 353,\n \"netlist_cells\": 0,\n \"mapped_signals\": 353,\n \"unmapped_signals\": 0\n },\n \"error\": null\n}\n\n[optimization_advisor {\"target_metric\": \"power\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"power\",\n \"recommended_recipes\": [\n \"synth -top gcd\",\n \"opt; share; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean; clockgate\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"clock_gating\",\n \"description\": \"Insert clock gating for registers\",\n \"command\": \"clockgate\"\n },\n {\n \"type\": \"operand_isolation\",\n \"description\": \"Isolate operands when not in use\",\n \"command\": \"Use enable signals for arithmetic\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": 5.0,\n \"delay\": 5.0,\n \"power\": -25.0\n },\n \"trade_offs\": [\n \"Power optimization may add area overhead\",\n \"Clock gating adds timing complexity\"\n ],\n \"error\": null\n}", "category": "multi_tool", "subcategory": "cross_stage_mapper+optimization_advisor", "difficulty": "compositional", "question_hash": "5d67056aed1b", "stage1_target": "[{\"tool\": \"cross_stage_mapper\", \"parameters\": {}}, {\"tool\": \"optimization_advisor\", \"parameters\": {\"target_metric\": \"power\"}}]", "stage2_context": "Question: For the gcd module, I'm planning a power-targeted optimization pass. Given how cleanly the RTL signals line up with the netlist wires, how much power reduction should I expect, what does it cost me in area, and will the RTL-to-netlist traceability give me enough confidence to check the clock-gating changes?\n\n[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"_191_\": [\n \"_191_\"\n ],\n \"_083_\": [\n \"_083_\"\n ],\n \"clknet_2_0__leaf_clk\": [\n \"clknet_2_0__leaf_clk\"\n ],\n \"_214_\": [\n \"_214_\"\n ],\n \"_283_\": [\n \"_283_\"\n ],\n \"_030_\": [\n \"_030_\"\n ],\n \"_224_\": [\n \"_224_\"\n ],\n \"_073_\": [\n \"_073_\"\n ],\n \"net9\": [\n \"net9\"\n ],\n \"_085_\": [\n \"_085_\"\n\n...[12304 chars elided]...\n [\n \"_138_\"\n ],\n \"_137_\": [\n \"_137_\"\n ],\n \"_058_\": [\n \"_058_\"\n ],\n \"_108_\": [\n \"_108_\"\n ],\n \"_039_\": [\n \"_039_\"\n ],\n \"_189_\": [\n \"_189_\"\n ],\n \"_246_\": [\n \"_246_\"\n ],\n \"_241_\": [\n \"_241_\"\n ],\n \"_293_\": [\n \"_293_\"\n ],\n \"_130_\": [\n \"_130_\"\n ],\n \"_095_\": [\n \"_095_\"\n ],\n \"_229_\": [\n \"_229_\"\n ],\n \"_288_\": [\n \"_288_\"\n ],\n \"_140_\": [\n \"_140_\"\n ],\n \"req_rdy\": [\n \"req_rdy\"\n ],\n \"_261_\": [\n \"_261_\"\n ],\n \"_059_\": [\n \"_059_\"\n ],\n \"net17\": [\n \"net17\"\n ]\n },\n \"alignment_score\": 100.0,\n \"unmapped_elements\": [],\n \"mapping_statistics\": {\n \"rtl_signals\": 353,\n \"netlist_wires\": 353,\n \"netlist_cells\": 0,\n \"mapped_signals\": 353,\n \"unmapped_signals\": 0\n },\n \"error\": null\n}\n\n[optimization_advisor {\"target_metric\": \"power\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"power\",\n \"recommended_recipes\": [\n \"synth -top gcd\",\n \"opt; share; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean; clockgate\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"clock_gating\",\n \"description\": \"Insert clock gating for registers\",\n \"command\": \"clockgate\"\n },\n {\n \"type\": \"operand_isolation\",\n \"description\": \"Isolate operands when not in use\",\n \"command\": \"Use enable signals for arithmetic\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": 5.0,\n \"delay\": 5.0,\n \"power\": -25.0\n },\n \"trade_offs\": [\n \"Power optimization may add area overhead\",\n \"Clock gating adds timing complexity\"\n ],\n \"error\": null\n}", "plan_id": "e7bb95587dae", "design_id": "d74dd1ede811", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/The-OpenROAD-Project/OpenROAD", "commit": "3e3e483a4e3f98e2b5470b272040699de6dedbee", "path": "src/rsz/test/gcd_asap7_cts.v", "sha256": "df40b82e99d111059369c5850d4fe0ec75fbd06994c5ad40236179026c0718ee"}} {"question": "For i2c_master_byte_ctrl, how complex is its control logic structurally, and is it worth using the delay-targeted optimizations recommended for it, such as re-encoding the FSM as one-hot, given the expected trade-offs?", "answer": "i2c_master_byte_ctrl has a cyclomatic complexity of 40, a nesting depth of 20 and 3 always blocks, so its control logic is branch-heavy enough that one-hot FSM recoding (fsm_recode -encoding one-hot) and fanout-reducing logic duplication are reasonable choices. The estimated delay improvement is -20.0, but area is expected to change by 10.0 and power by 5.0, so the speed gain costs some area and power.", "source_file": "github_repos/riscv-mcu_e203_hbirdv2/rtl/e203/perips/apb_i2c/i2c_master_byte_ctrl.v", "module_name": "i2c_master_byte_ctrl", "tool_name": "optimization_advisor+static_analyzer", "tool_parameters": [{"target_metric": "delay"}, {"analysis_type": "full"}], "tool_result": "[optimization_advisor {\"target_metric\": \"delay\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"delay\",\n \"recommended_recipes\": [\n \"synth -top i2c_master_byte_ctrl\",\n \"opt -fast\",\n \"abc -fast -liberty stdcells.lib\",\n \"opt_clean\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"pipeline_insertion\",\n \"description\": \"Consider pipelining arithmetic operations\",\n \"command\": \"Use register retiming\"\n },\n {\n \"type\": \"fsm_encoding\",\n \"description\": \"Use one-hot encoding for faster FSM\",\n \"command\": \"fsm_opt; fsm_recode -encoding one-hot\"\n },\n {\n \"type\": \"logic_duplication\",\n \"description\": \"Duplicate logic to reduce fanout\",\n \"command\": \"splitnets -driver\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": 10.0,\n \"delay\": -20.0,\n \"power\": 5.0\n },\n \"trade_offs\": [\n \"Speed optimization increases area\",\n \"Higher power consumption\"\n ],\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"i2c_master_byte_ctrl\",\n \"port_count\": {\n \"inputs\": 12,\n \"outputs\": 11,\n \"inouts\": 0,\n \"total\": 23\n },\n \"signal_count\": {\n \"wires\": 3,\n \"regs\": 8,\n \"parameters\": 0,\n \"total\": 11\n },\n \"always_blocks\": 3,\n \"assign_statements\": 5,\n \"instantiations\": [\n \"to\",\n \"i2c_master_bit_ctrl\",\n \"on\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 203,\n \"total_lines\": 335,\n \"cyclomatic_complexity\": 40,\n \"nesting_depth\": 20,\n \"operator_count\": 769\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "category": "multi_tool", "subcategory": "optimization_advisor+static_analyzer", "difficulty": "compositional", "question_hash": "88cbc6d0b8ae", "stage1_target": "[{\"tool\": \"optimization_advisor\", \"parameters\": {\"target_metric\": \"delay\"}}, {\"tool\": \"static_analyzer\", \"parameters\": {\"analysis_type\": \"full\"}}]", "stage2_context": "Question: For i2c_master_byte_ctrl, how complex is its control logic structurally, and is it worth using the delay-targeted optimizations recommended for it, such as re-encoding the FSM as one-hot, given the expected trade-offs?\n\n[optimization_advisor {\"target_metric\": \"delay\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"delay\",\n \"recommended_recipes\": [\n \"synth -top i2c_master_byte_ctrl\",\n \"opt -fast\",\n \"abc -fast -liberty stdcells.lib\",\n \"opt_clean\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"pipeline_insertion\",\n \"description\": \"Consider pipelining arithmetic operations\",\n \"command\": \"Use register retiming\"\n },\n {\n \"type\": \"fsm_encoding\",\n \"description\": \"Use one-hot encoding for faster FSM\",\n \"command\": \"fsm_opt; fsm_recode -encoding one-hot\"\n },\n {\n \"type\": \"logic_duplication\",\n \"description\": \"Duplicate logic to reduce fanout\",\n \"command\": \"splitnets -driver\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": 10.0,\n \"delay\": -20.0,\n \"power\": 5.0\n },\n \"trade_offs\": [\n \"Speed optimization increases area\",\n \"Higher power consumption\"\n ],\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"i2c_master_byte_ctrl\",\n \"port_count\": {\n \"inputs\": 12,\n \"outputs\": 11,\n \"inouts\": 0,\n \"total\": 23\n },\n \"signal_count\": {\n \"wires\": 3,\n \"regs\": 8,\n \"parameters\": 0,\n \"total\": 11\n },\n \"always_blocks\": 3,\n \"assign_statements\": 5,\n \"instantiations\": [\n \"to\",\n \"i2c_master_bit_ctrl\",\n \"on\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 203,\n \"total_lines\": 335,\n \"cyclomatic_complexity\": 40,\n \"nesting_depth\": 20,\n \"operator_count\": 769\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "plan_id": "c2f7583d1b29", "design_id": "d857db4ae363", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/riscv-mcu/e203_hbirdv2", "commit": "9f3e34f337f5d0a1236a285871ffa2032491617a", "path": "rtl/e203/perips/apb_i2c/i2c_master_byte_ctrl.v", "sha256": "84c975a59642918dc5d31c471413559e8beef3cfe7b589542791742bf212a8e9"}} {"question": "For servant_ac701, the CDFG shows how many flip-flops are in the top-level wrapper around the servant core. Is power-oriented clock gating likely to get close to its estimated power improvement here, and what does it cost in area?", "answer": "The CDFG of servant_ac701 has only 2 $dff nodes, next to one PLLE2_BASE, one IBUFDS and one servant instance, out of 10 nodes. That leaves very few wrapper registers for the recommended 'clockgate' step to gate. The power-targeted estimate of -25.0 for power comes with an area overhead of 5.0, so most of any real savings would have to come from inside the servant core, not from this wrapper.", "source_file": "github_repos/olofk_serv/servant/servant_ac701.v", "module_name": "servant_ac701", "tool_name": "graph_extractor+optimization_advisor", "tool_parameters": [{"graph_type": "CDFG"}, {"target_metric": "power"}], "tool_result": "[graph_extractor {\"graph_type\": \"CDFG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"CDFG\",\n...[3270 chars elided]...\n \"node_count\": 10,\n \"edge_count\": 21,\n \"graph_properties\": {\n \"node_types\": {\n \"$logic_not\": 1,\n \"$dff\": 2,\n \"PLLE2_BASE\": 1,\n \"IBUFDS\": 1,\n \"servant\": 1,\n \"port_input\": 3,\n \"port_output\": 1\n },\n \"avg_degree\": 2.1,\n \"module_name\": \"servant_ac701\"\n },\n \"error\": null\n}\n\n[optimization_advisor {\"target_metric\": \"power\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"power\",\n \"recommended_recipes\": [\n \"synth -top servant_ac701\",\n \"opt; share; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean; clockgate\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"clock_gating\",\n \"description\": \"Insert clock gating for registers\",\n \"command\": \"clockgate\"\n },\n {\n \"type\": \"operand_isolation\",\n \"description\": \"Isolate operands when not in use\",\n \"command\": \"Use enable signals for arithmetic\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": 5.0,\n \"delay\": 5.0,\n \"power\": -25.0\n },\n \"trade_offs\": [\n \"Power optimization may add area overhead\",\n \"Clock gating adds timing complexity\"\n ],\n \"error\": null\n}", "category": "multi_tool", "subcategory": "graph_extractor+optimization_advisor", "difficulty": "compositional", "question_hash": "d0d920d77bb0", "stage1_target": "[{\"tool\": \"graph_extractor\", \"parameters\": {\"graph_type\": \"CDFG\"}}, {\"tool\": \"optimization_advisor\", \"parameters\": {\"target_metric\": \"power\"}}]", "stage2_context": "Question: For servant_ac701, the CDFG shows how many flip-flops are in the top-level wrapper around the servant core. Is power-oriented clock gating likely to get close to its estimated power improvement here, and what does it cost in area?\n\n[graph_extractor {\"graph_type\": \"CDFG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"CDFG\",\n...[3270 chars elided]...\n \"node_count\": 10,\n \"edge_count\": 21,\n \"graph_properties\": {\n \"node_types\": {\n \"$logic_not\": 1,\n \"$dff\": 2,\n \"PLLE2_BASE\": 1,\n \"IBUFDS\": 1,\n \"servant\": 1,\n \"port_input\": 3,\n \"port_output\": 1\n },\n \"avg_degree\": 2.1,\n \"module_name\": \"servant_ac701\"\n },\n \"error\": null\n}\n\n[optimization_advisor {\"target_metric\": \"power\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"power\",\n \"recommended_recipes\": [\n \"synth -top servant_ac701\",\n \"opt; share; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean; clockgate\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"clock_gating\",\n \"description\": \"Insert clock gating for registers\",\n \"command\": \"clockgate\"\n },\n {\n \"type\": \"operand_isolation\",\n \"description\": \"Isolate operands when not in use\",\n \"command\": \"Use enable signals for arithmetic\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": 5.0,\n \"delay\": 5.0,\n \"power\": -25.0\n },\n \"trade_offs\": [\n \"Power optimization may add area overhead\",\n \"Clock gating adds timing complexity\"\n ],\n \"error\": null\n}", "plan_id": "803a713904ee", "design_id": "da6a77cbdf19", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/olofk/serv", "commit": "f200eb2ed7b69ac1c6b8eddd47654522aeee5ce8", "path": "servant/servant_ac701.v", "sha256": "d1d0e2d0c44b9b78da7273f011bab154ad7d492136309501e0c73a1ff710b53f"}} {"question": "For the hi_fanout module, which is purely structural (it instantiates DFF_X1 and hi_fanout_child and has no always blocks), would it be worth applying the fanout-reducing logic duplication suggested for delay optimization, and what would it cost?", "answer": "hi_fanout is a flat structural netlist with 4 inputs, 1 wire, 0 always blocks and a cyclomatic complexity of 1, and it gets its logic from DFF_X1 and hi_fanout_child instances, so the main lever is the suggested 'splitnets -driver' logic duplication to reduce fanout. For delay optimization this gives an estimated delay improvement of -20.0, but it costs an estimated 10.0 in area and 5.0 in power, which matches the listed trade-offs that speed optimization increases area and raises power consumption.", "source_file": "github_repos/The-OpenROAD-Project_OpenROAD/src/rsz/test/repair_fanout1_hier.v", "module_name": "hi_fanout", "tool_name": "optimization_advisor+static_analyzer", "tool_parameters": [{"target_metric": "delay"}, {"analysis_type": "full"}], "tool_result": "[optimization_advisor {\"target_metric\": \"delay\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"delay\",\n \"recommended_recipes\": [\n \"synth -top hi_fanout\",\n \"opt -fast\",\n \"abc -fast -liberty stdcells.lib\",\n \"opt_clean\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"logic_duplication\",\n \"description\": \"Duplicate logic to reduce fanout\",\n \"command\": \"splitnets -driver\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": 10.0,\n \"delay\": -20.0,\n \"power\": 5.0\n },\n \"trade_offs\": [\n \"Speed optimization increases area\",\n \"Higher power consumption\"\n ],\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"hi_fanout\",\n \"port_count\": {\n \"inputs\": 4,\n \"outputs\": 0,\n \"inouts\": 0,\n \"total\": 4\n },\n \"signal_count\": {\n \"wires\": 1,\n \"regs\": 0,\n \"parameters\": 0,\n \"total\": 1\n },\n \"always_blocks\": 0,\n \"assign_statements\": 0,\n \"instantiations\": [\n \"DFF_X1\",\n \"hi_fanout_child\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 83,\n \"total_lines\": 88,\n \"cyclomatic_complexity\": 1,\n \"nesting_depth\": 0,\n \"operator_count\": 0\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "category": "multi_tool", "subcategory": "optimization_advisor+static_analyzer", "difficulty": "compositional", "question_hash": "4a8f26e5a88b", "stage1_target": "[{\"tool\": \"optimization_advisor\", \"parameters\": {\"target_metric\": \"delay\"}}, {\"tool\": \"static_analyzer\", \"parameters\": {\"analysis_type\": \"full\"}}]", "stage2_context": "Question: For the hi_fanout module, which is purely structural (it instantiates DFF_X1 and hi_fanout_child and has no always blocks), would it be worth applying the fanout-reducing logic duplication suggested for delay optimization, and what would it cost?\n\n[optimization_advisor {\"target_metric\": \"delay\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"delay\",\n \"recommended_recipes\": [\n \"synth -top hi_fanout\",\n \"opt -fast\",\n \"abc -fast -liberty stdcells.lib\",\n \"opt_clean\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"logic_duplication\",\n \"description\": \"Duplicate logic to reduce fanout\",\n \"command\": \"splitnets -driver\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": 10.0,\n \"delay\": -20.0,\n \"power\": 5.0\n },\n \"trade_offs\": [\n \"Speed optimization increases area\",\n \"Higher power consumption\"\n ],\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"hi_fanout\",\n \"port_count\": {\n \"inputs\": 4,\n \"outputs\": 0,\n \"inouts\": 0,\n \"total\": 4\n },\n \"signal_count\": {\n \"wires\": 1,\n \"regs\": 0,\n \"parameters\": 0,\n \"total\": 1\n },\n \"always_blocks\": 0,\n \"assign_statements\": 0,\n \"instantiations\": [\n \"DFF_X1\",\n \"hi_fanout_child\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 83,\n \"total_lines\": 88,\n \"cyclomatic_complexity\": 1,\n \"nesting_depth\": 0,\n \"operator_count\": 0\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "plan_id": "206cddef542e", "design_id": "db06d04bb42c", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/The-OpenROAD-Project/OpenROAD", "commit": "3e3e483a4e3f98e2b5470b272040699de6dedbee", "path": "src/rsz/test/repair_fanout1_hier.v", "sha256": "e09c4065f7d4ec95074043f4a588d028dfbf8d9a9ab3820228dd6c778bfa579e"}} {"question": "For sirv_clint, which has 270 assign statements and 17 regs, how much area reduction could I expect from an area-targeted optimization flow, what delay penalty would come with it, and does the module's lint and complexity profile point to any risk in applying aggressive resource sharing?", "answer": "If you optimize sirv_clint for area, the estimate is -15.0 area and +5.0 delay, and the suggested commands include \"share -aggressive\" and \"muxcover; opt\". The module has 270 assign statements, 17 regs, 0 lint warnings and a cyclomatic complexity of 17, so it is mostly combinational logic and should handle sharing without problems. The main risk is that aggressive sharing increases routing complexity, which matters given its 440 operators and nesting depth of 18.", "source_file": "github_repos/riscv-mcu_e203_hbirdv2/rtl/e203/perips/sirv_clint.v", "module_name": "sirv_clint", "tool_name": "optimization_advisor+static_analyzer", "tool_parameters": [{"target_metric": "area"}, {"analysis_type": "full"}], "tool_result": "[optimization_advisor {\"target_metric\": \"area\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"area\",\n \"recommended_recipes\": [\n \"synth -top sirv_clint -flatten\",\n \"opt -full; share -aggressive; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean -purge\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"mux_optimization\",\n \"description\": \"Share multiplexers where possible\",\n \"command\": \"muxcover; opt\"\n },\n {\n \"type\": \"resource_sharing\",\n \"description\": \"Share arithmetic operators\",\n \"command\": \"share -aggressive\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": -15.0,\n \"delay\": 5.0,\n \"power\": -10.0\n },\n \"trade_offs\": [\n \"Area optimization may increase delay\",\n \"Aggressive sharing increases routing complexity\"\n ],\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"sirv_clint\",\n \"port_count\": {\n \"inputs\": 23,\n \"outputs\": 22,\n \"inouts\": 0,\n \"total\": 45\n },\n \"signal_count\": {\n \"wires\": 255,\n \"regs\": 17,\n \"parameters\": 0,\n \"total\": 272\n },\n \"always_blocks\": 5,\n \"assign_statements\": 270,\n \"instantiations\": [],\n \"code_complexity\": {\n \"lines_of_code\": 645,\n \"total_lines\": 662,\n \"cyclomatic_complexity\": 17,\n \"nesting_depth\": 18,\n \"operator_count\": 440\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "category": "multi_tool", "subcategory": "optimization_advisor+static_analyzer", "difficulty": "compositional", "question_hash": "def6601002f8", "stage1_target": "[{\"tool\": \"optimization_advisor\", \"parameters\": {\"target_metric\": \"area\"}}, {\"tool\": \"static_analyzer\", \"parameters\": {\"analysis_type\": \"full\"}}]", "stage2_context": "Question: For sirv_clint, which has 270 assign statements and 17 regs, how much area reduction could I expect from an area-targeted optimization flow, what delay penalty would come with it, and does the module's lint and complexity profile point to any risk in applying aggressive resource sharing?\n\n[optimization_advisor {\"target_metric\": \"area\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"area\",\n \"recommended_recipes\": [\n \"synth -top sirv_clint -flatten\",\n \"opt -full; share -aggressive; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean -purge\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"mux_optimization\",\n \"description\": \"Share multiplexers where possible\",\n \"command\": \"muxcover; opt\"\n },\n {\n \"type\": \"resource_sharing\",\n \"description\": \"Share arithmetic operators\",\n \"command\": \"share -aggressive\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": -15.0,\n \"delay\": 5.0,\n \"power\": -10.0\n },\n \"trade_offs\": [\n \"Area optimization may increase delay\",\n \"Aggressive sharing increases routing complexity\"\n ],\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"sirv_clint\",\n \"port_count\": {\n \"inputs\": 23,\n \"outputs\": 22,\n \"inouts\": 0,\n \"total\": 45\n },\n \"signal_count\": {\n \"wires\": 255,\n \"regs\": 17,\n \"parameters\": 0,\n \"total\": 272\n },\n \"always_blocks\": 5,\n \"assign_statements\": 270,\n \"instantiations\": [],\n \"code_complexity\": {\n \"lines_of_code\": 645,\n \"total_lines\": 662,\n \"cyclomatic_complexity\": 17,\n \"nesting_depth\": 18,\n \"operator_count\": 440\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "plan_id": "0807f4d065a8", "design_id": "de3cfc702541", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/riscv-mcu/e203_hbirdv2", "commit": "9f3e34f337f5d0a1236a285871ffa2032491617a", "path": "rtl/e203/perips/sirv_clint.v", "sha256": "a2009569b93a9d549d2b4b1f791b43e05b5a96645501126b37b8f1a1711b1444"}} {"question": "The source netlist of the module dummy instantiates an xnor2, an and2 and a buf_4 cell. After medium-effort synthesis, which of those cell types survive and how many of each are there? Also, what area and delay does the synthesized design report, and how do those figures compare with the module's port and wire counts in the source?", "answer": "The source of dummy has 4 inputs, 6 outputs and 13 wires, and it instantiates sky130_fd_sc_hd__xnor2_1, sky130_fd_sc_hd__and2_1 and sky130_fd_sc_hd__buf_4. After synthesis only 3 gates are left: 1 sky130_fd_sc_hd__and2_1 and 2 sky130_fd_sc_hd__buf_4, so the xnor2 cell was optimized away. The synthesized design reports an area of 3.0, a delay of 69.52 and only 5 wires.", "source_file": "github_repos/The-OpenROAD-Project_OpenROAD/src/ifp/test/upf/mpd_top.v", "module_name": "dummy", "tool_name": "static_analyzer+synthesis_tool", "tool_parameters": [{"analysis_type": "full"}, {"optimization_level": "medium"}], "tool_result": "[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"dummy\",\n \"port_count\": {\n \"inputs\": 4,\n \"outputs\": 6,\n \"inouts\": 0,\n \"total\": 10\n },\n \"signal_count\": {\n \"wires\": 13,\n \"regs\": 0,\n \"parameters\": 0,\n \"total\": 13\n },\n \"always_blocks\": 0,\n \"assign_statements\": 0,\n \"instantiations\": [\n \"sky130_fd_sc_hd__xnor2_1\",\n \"sky130_fd_sc_hd__and2_1\",\n \"sky130_fd_sc_hd__buf_4\",\n \"dummy\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 89,\n \"total_lines\": 92,\n \"cyclomatic_complexity\": 1,\n \"nesting_depth\": 0,\n \"operator_count\": 9\n },\n \"lint_warnings\": [],\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 3.0,\n \"delay\": 69.52,\n \"power\": 0.003,\n \"gate_count\": 3,\n \"cell_breakdown\": {\n \"sky130_fd_sc_hd__and2_1\": 1,\n \"sky130_fd_sc_hd__buf_4\": 2\n },\n \"wire_count\": 5,\n \"wire_bits\": 5,\n \"critical_path_estimate\": 69.52,\n...[1124 chars elided]...\n \"error\": null\n}", "category": "multi_tool", "subcategory": "static_analyzer+synthesis_tool", "difficulty": "compositional", "question_hash": "dec6e6bc4168", "stage1_target": "[{\"tool\": \"static_analyzer\", \"parameters\": {\"analysis_type\": \"full\"}}, {\"tool\": \"synthesis_tool\", \"parameters\": {\"optimization_level\": \"medium\"}}]", "stage2_context": "Question: The source netlist of the module dummy instantiates an xnor2, an and2 and a buf_4 cell. After medium-effort synthesis, which of those cell types survive and how many of each are there? Also, what area and delay does the synthesized design report, and how do those figures compare with the module's port and wire counts in the source?\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"dummy\",\n \"port_count\": {\n \"inputs\": 4,\n \"outputs\": 6,\n \"inouts\": 0,\n \"total\": 10\n },\n \"signal_count\": {\n \"wires\": 13,\n \"regs\": 0,\n \"parameters\": 0,\n \"total\": 13\n },\n \"always_blocks\": 0,\n \"assign_statements\": 0,\n \"instantiations\": [\n \"sky130_fd_sc_hd__xnor2_1\",\n \"sky130_fd_sc_hd__and2_1\",\n \"sky130_fd_sc_hd__buf_4\",\n \"dummy\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 89,\n \"total_lines\": 92,\n \"cyclomatic_complexity\": 1,\n \"nesting_depth\": 0,\n \"operator_count\": 9\n },\n \"lint_warnings\": [],\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 3.0,\n \"delay\": 69.52,\n \"power\": 0.003,\n \"gate_count\": 3,\n \"cell_breakdown\": {\n \"sky130_fd_sc_hd__and2_1\": 1,\n \"sky130_fd_sc_hd__buf_4\": 2\n },\n \"wire_count\": 5,\n \"wire_bits\": 5,\n \"critical_path_estimate\": 69.52,\n...[1124 chars elided]...\n \"error\": null\n}", "plan_id": "4cf7165dbb53", "design_id": "e11aa5dcc864", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/The-OpenROAD-Project/OpenROAD", "commit": "3e3e483a4e3f98e2b5470b272040699de6dedbee", "path": "src/ifp/test/upf/mpd_top.v", "sha256": "1bb7b6b0f15ff1ebbd83a87b10a6f466907b91eded8116813dc98d922a0fcd95"}} {"question": "The DFG of NV_NVDLA_sync3d is pretty small. How does its size and structure compare with the module's source-level complexity, and what does it show about the DFT X-clamp logic around the synchronizer?", "answer": "The DFG of NV_NVDLA_sync3d has just 7 nodes and 9 edges (avg degree 1.29): one sync3d instance, one MUX2HDD2 and 2 NV_BLKBOX_SRC0 cells that drive the mux select for the DFT X-clamp. The source is much more complex than that, with 236 lines of code, a cyclomatic complexity of 39, nesting depth 26, 22 regs and 4 always blocks, so most of the behavioral and random-delay modeling code does not appear as dataflow structure.", "source_file": "github_repos/nvdla_hw/vmod/nvdla/car/NV_NVDLA_sync3d.v", "module_name": "NV_NVDLA_sync3d", "tool_name": "graph_extractor+static_analyzer", "tool_parameters": [{"graph_type": "DFG"}, {"analysis_type": "full"}], "tool_result": "[graph_extractor {\"graph_type\": \"DFG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"DFG\",\n...[1236 chars elided]...\n \"node_count\": 7,\n \"edge_count\": 9,\n \"graph_properties\": {\n \"node_types\": {\n \"MUX2HDD2\": 1,\n \"NV_BLKBOX_SRC0\": 2,\n \"sync3d\": 1,\n \"port_input\": 2,\n \"port_output\": 1\n },\n \"avg_degree\": 1.29,\n \"module_name\": \"NV_NVDLA_sync3d\"\n },\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"NV_NVDLA_sync3d\",\n \"port_count\": {\n \"inputs\": 10,\n \"outputs\": 3,\n \"inouts\": 0,\n \"total\": 13\n },\n \"signal_count\": {\n \"wires\": 7,\n \"regs\": 22,\n \"parameters\": 0,\n \"total\": 29\n },\n \"always_blocks\": 4,\n \"assign_statements\": 5,\n \"instantiations\": [\n \"sync3d\",\n \"random\",\n \"to\",\n \"known\",\n \"MUX2HDD2\",\n \"bump\",\n \"PRAND_VERILOG\",\n \"rand\",\n \"delta\",\n \"NV_BLKBOX_SRC0\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 236,\n \"total_lines\": 325,\n \"cyclomatic_complexity\": 39,\n \"nesting_depth\": 26,\n \"operator_count\": 352\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "category": "multi_tool", "subcategory": "graph_extractor+static_analyzer", "difficulty": "compositional", "question_hash": "2beaeca3129a", "stage1_target": "[{\"tool\": \"graph_extractor\", \"parameters\": {\"graph_type\": \"DFG\"}}, {\"tool\": \"static_analyzer\", \"parameters\": {\"analysis_type\": \"full\"}}]", "stage2_context": "Question: The DFG of NV_NVDLA_sync3d is pretty small. How does its size and structure compare with the module's source-level complexity, and what does it show about the DFT X-clamp logic around the synchronizer?\n\n[graph_extractor {\"graph_type\": \"DFG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"DFG\",\n...[1236 chars elided]...\n \"node_count\": 7,\n \"edge_count\": 9,\n \"graph_properties\": {\n \"node_types\": {\n \"MUX2HDD2\": 1,\n \"NV_BLKBOX_SRC0\": 2,\n \"sync3d\": 1,\n \"port_input\": 2,\n \"port_output\": 1\n },\n \"avg_degree\": 1.29,\n \"module_name\": \"NV_NVDLA_sync3d\"\n },\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"NV_NVDLA_sync3d\",\n \"port_count\": {\n \"inputs\": 10,\n \"outputs\": 3,\n \"inouts\": 0,\n \"total\": 13\n },\n \"signal_count\": {\n \"wires\": 7,\n \"regs\": 22,\n \"parameters\": 0,\n \"total\": 29\n },\n \"always_blocks\": 4,\n \"assign_statements\": 5,\n \"instantiations\": [\n \"sync3d\",\n \"random\",\n \"to\",\n \"known\",\n \"MUX2HDD2\",\n \"bump\",\n \"PRAND_VERILOG\",\n \"rand\",\n \"delta\",\n \"NV_BLKBOX_SRC0\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 236,\n \"total_lines\": 325,\n \"cyclomatic_complexity\": 39,\n \"nesting_depth\": 26,\n \"operator_count\": 352\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "plan_id": "bc5a09468fc0", "design_id": "e178936e7c2a", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/nvdla/hw", "commit": "8e06b1b9d85aab65b40d43d08eec5ea4681ff715", "path": "vmod/nvdla/car/NV_NVDLA_sync3d.v", "sha256": "5dd38448b07ac711dd00b11311b20dfc1070303c0b82df46fa1750527bac1b5c"}} {"question": "For NV_NVDLA_RT_cacc2glb, the synthesized netlist consists of just a handful of async-reset flip-flops. Given that, is the power-targeted optimization plan (with clock gating) worth applying, and what does it trade off against the current synthesized figures?", "answer": "NV_NVDLA_RT_cacc2glb synthesizes to only 4 $_DFF_PN0_ cells (area 4.0, delay 75.79, power 0.004) in a single nvdla_core_clk domain. The power-targeted plan recommends clockgate insertion and estimates a -25.0 power change, but it also estimates 5.0 increases in both area and delay and warns that clock gating adds timing complexity. With a design this small, the absolute power saved would be tiny compared with the gating overhead.", "source_file": "github_repos/nvdla_hw/vmod/nvdla/retiming/NV_NVDLA_RT_cacc2glb.v", "module_name": "NV_NVDLA_RT_cacc2glb", "tool_name": "optimization_advisor+synthesis_tool", "tool_parameters": [{"target_metric": "power"}, {"optimization_level": "medium"}], "tool_result": "[optimization_advisor {\"target_metric\": \"power\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"power\",\n \"recommended_recipes\": [\n \"synth -top NV_NVDLA_RT_cacc2glb\",\n \"opt; share; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean; clockgate\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"clock_gating\",\n \"description\": \"Insert clock gating for registers\",\n \"command\": \"clockgate\"\n },\n {\n \"type\": \"operand_isolation\",\n \"description\": \"Isolate operands when not in use\",\n \"command\": \"Use enable signals for arithmetic\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": 5.0,\n \"delay\": 5.0,\n \"power\": -25.0\n },\n \"trade_offs\": [\n \"Power optimization may add area overhead\",\n \"Clock gating adds timing complexity\"\n ],\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 4.0,\n \"delay\": 75.79,\n \"power\": 0.004,\n \"gate_count\": 4,\n \"cell_breakdown\": {\n \"$_DFF_PN0_\": 4\n },\n \"wire_count\": 7,\n \"wire_bits\": 12,\n \"critical_path_estimate\": 75.79,\n...[1077 chars elided]...\n \"error\": null\n}", "category": "multi_tool", "subcategory": "optimization_advisor+synthesis_tool", "difficulty": "compositional", "question_hash": "7cf75cde0f67", "stage1_target": "[{\"tool\": \"optimization_advisor\", \"parameters\": {\"target_metric\": \"power\"}}, {\"tool\": \"synthesis_tool\", \"parameters\": {\"optimization_level\": \"medium\"}}]", "stage2_context": "Question: For NV_NVDLA_RT_cacc2glb, the synthesized netlist consists of just a handful of async-reset flip-flops. Given that, is the power-targeted optimization plan (with clock gating) worth applying, and what does it trade off against the current synthesized figures?\n\n[optimization_advisor {\"target_metric\": \"power\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"power\",\n \"recommended_recipes\": [\n \"synth -top NV_NVDLA_RT_cacc2glb\",\n \"opt; share; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean; clockgate\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"clock_gating\",\n \"description\": \"Insert clock gating for registers\",\n \"command\": \"clockgate\"\n },\n {\n \"type\": \"operand_isolation\",\n \"description\": \"Isolate operands when not in use\",\n \"command\": \"Use enable signals for arithmetic\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": 5.0,\n \"delay\": 5.0,\n \"power\": -25.0\n },\n \"trade_offs\": [\n \"Power optimization may add area overhead\",\n \"Clock gating adds timing complexity\"\n ],\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 4.0,\n \"delay\": 75.79,\n \"power\": 0.004,\n \"gate_count\": 4,\n \"cell_breakdown\": {\n \"$_DFF_PN0_\": 4\n },\n \"wire_count\": 7,\n \"wire_bits\": 12,\n \"critical_path_estimate\": 75.79,\n...[1077 chars elided]...\n \"error\": null\n}", "plan_id": "863449af31b4", "design_id": "e3dcc52890ca", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/nvdla/hw", "commit": "8e06b1b9d85aab65b40d43d08eec5ea4681ff715", "path": "vmod/nvdla/retiming/NV_NVDLA_RT_cacc2glb.v", "sha256": "cdad83d8b052994bddd7f2651a9d178b87be6e56ac3bb259f0f3d26b47bc6422"}} {"question": "For servant_cmod_a7, the CDFG shows a top level that is mostly a clock generator instance wired to the servant SoC core. Given that structure, how much area improvement does the area-targeted optimization estimate, what delay change comes with it, and what does the CDFG node and edge count suggest about where any area savings would have to come from?", "answer": "The CDFG for servant_cmod_a7 has only 6 nodes and 7 edges: one servant_cmod_a7_clock_gen instance, one servant instance, 2 input ports and 2 output ports, with an average degree of 1.17. The top level has no logic of its own, so the estimated area improvement of -15.0 (which comes with a delay change of 5.0) would have to come from flattening the submodules with 'synth -top servant_cmod_a7 -flatten' and then optimizing them, not from the wrapper.", "source_file": "github_repos/olofk_serv/servant/servant_cmod_a7.v", "module_name": "servant_cmod_a7", "tool_name": "graph_extractor+optimization_advisor", "tool_parameters": [{"graph_type": "CDFG"}, {"target_metric": "area"}], "tool_result": "[graph_extractor {\"graph_type\": \"CDFG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"CDFG\",\n...[598 chars elided]...\n \"node_count\": 6,\n \"edge_count\": 7,\n \"graph_properties\": {\n \"node_types\": {\n \"servant_cmod_a7_clock_gen\": 1,\n \"servant\": 1,\n \"port_input\": 2,\n \"port_output\": 2\n },\n \"avg_degree\": 1.17,\n \"module_name\": \"servant_cmod_a7\"\n },\n \"error\": null\n}\n\n[optimization_advisor {\"target_metric\": \"area\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"area\",\n \"recommended_recipes\": [\n \"synth -top servant_cmod_a7 -flatten\",\n \"opt -full; share -aggressive; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean -purge\"\n ],\n \"optimization_suggestions\": [],\n \"estimated_improvement\": {\n \"area\": -15.0,\n \"delay\": 5.0,\n \"power\": -10.0\n },\n \"trade_offs\": [\n \"Area optimization may increase delay\",\n \"Aggressive sharing increases routing complexity\"\n ],\n \"error\": null\n}", "category": "multi_tool", "subcategory": "graph_extractor+optimization_advisor", "difficulty": "compositional", "question_hash": "ee8b5cbf7662", "stage1_target": "[{\"tool\": \"graph_extractor\", \"parameters\": {\"graph_type\": \"CDFG\"}}, {\"tool\": \"optimization_advisor\", \"parameters\": {\"target_metric\": \"area\"}}]", "stage2_context": "Question: For servant_cmod_a7, the CDFG shows a top level that is mostly a clock generator instance wired to the servant SoC core. Given that structure, how much area improvement does the area-targeted optimization estimate, what delay change comes with it, and what does the CDFG node and edge count suggest about where any area savings would have to come from?\n\n[graph_extractor {\"graph_type\": \"CDFG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"CDFG\",\n...[598 chars elided]...\n \"node_count\": 6,\n \"edge_count\": 7,\n \"graph_properties\": {\n \"node_types\": {\n \"servant_cmod_a7_clock_gen\": 1,\n \"servant\": 1,\n \"port_input\": 2,\n \"port_output\": 2\n },\n \"avg_degree\": 1.17,\n \"module_name\": \"servant_cmod_a7\"\n },\n \"error\": null\n}\n\n[optimization_advisor {\"target_metric\": \"area\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"area\",\n \"recommended_recipes\": [\n \"synth -top servant_cmod_a7 -flatten\",\n \"opt -full; share -aggressive; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean -purge\"\n ],\n \"optimization_suggestions\": [],\n \"estimated_improvement\": {\n \"area\": -15.0,\n \"delay\": 5.0,\n \"power\": -10.0\n },\n \"trade_offs\": [\n \"Area optimization may increase delay\",\n \"Aggressive sharing increases routing complexity\"\n ],\n \"error\": null\n}", "plan_id": "d5e0dd771d07", "design_id": "e671a0ae3289", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/olofk/serv", "commit": "f200eb2ed7b69ac1c6b8eddd47654522aeee5ce8", "path": "servant/servant_cmod_a7.v", "sha256": "684337bbaabdc9c13b2abda9605a18d05dc97a5745c730c4345349502b588857"}} {"question": "The reg1 module instantiates DFF_X1 and BUF_X1 cells, yet a medium-effort synthesis run reports an empty netlist. Using the port and signal structure, explain what went wrong, and compare the source wiring with what is left after synthesis.", "answer": "reg1 has 4 inputs and 0 outputs, so none of its logic drives an observable port. Medium-effort synthesis therefore removes the instantiated DFF_X1, BUF_X1 and submodule cells as unused, which leaves an area of 0, a gate_count of 0 and a delay of 0.0. Only 2 wires (2 wire bits) remain of the 20 wires declared in the source.", "source_file": "github_repos/The-OpenROAD-Project_OpenROAD/src/rsz/test/split_load_hier.v", "module_name": "reg1", "tool_name": "static_analyzer+synthesis_tool", "tool_parameters": [{"analysis_type": "full"}, {"optimization_level": "medium"}], "tool_result": "[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"reg1\",\n \"port_count\": {\n \"inputs\": 4,\n \"outputs\": 0,\n \"inouts\": 0,\n \"total\": 4\n },\n \"signal_count\": {\n \"wires\": 20,\n \"regs\": 0,\n \"parameters\": 0,\n \"total\": 20\n },\n \"always_blocks\": 0,\n \"assign_statements\": 0,\n \"instantiations\": [\n \"BUF_X1\",\n \"DFF_X1\",\n \"submodule\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 128,\n \"total_lines\": 154,\n \"cyclomatic_complexity\": 1,\n \"nesting_depth\": 0,\n \"operator_count\": 6\n },\n \"lint_warnings\": [],\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 0,\n \"delay\": 0.0,\n \"power\": 0.0,\n \"gate_count\": 0,\n \"cell_breakdown\": {},\n \"wire_count\": 2,\n \"wire_bits\": 2,\n \"critical_path_estimate\": 0.0,\n...[1074 chars elided]...\n \"error\": null\n}", "category": "multi_tool", "subcategory": "static_analyzer+synthesis_tool", "difficulty": "compositional", "question_hash": "f3a456a7bd7c", "stage1_target": "[{\"tool\": \"static_analyzer\", \"parameters\": {\"analysis_type\": \"full\"}}, {\"tool\": \"synthesis_tool\", \"parameters\": {\"optimization_level\": \"medium\"}}]", "stage2_context": "Question: The reg1 module instantiates DFF_X1 and BUF_X1 cells, yet a medium-effort synthesis run reports an empty netlist. Using the port and signal structure, explain what went wrong, and compare the source wiring with what is left after synthesis.\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"reg1\",\n \"port_count\": {\n \"inputs\": 4,\n \"outputs\": 0,\n \"inouts\": 0,\n \"total\": 4\n },\n \"signal_count\": {\n \"wires\": 20,\n \"regs\": 0,\n \"parameters\": 0,\n \"total\": 20\n },\n \"always_blocks\": 0,\n \"assign_statements\": 0,\n \"instantiations\": [\n \"BUF_X1\",\n \"DFF_X1\",\n \"submodule\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 128,\n \"total_lines\": 154,\n \"cyclomatic_complexity\": 1,\n \"nesting_depth\": 0,\n \"operator_count\": 6\n },\n \"lint_warnings\": [],\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 0,\n \"delay\": 0.0,\n \"power\": 0.0,\n \"gate_count\": 0,\n \"cell_breakdown\": {},\n \"wire_count\": 2,\n \"wire_bits\": 2,\n \"critical_path_estimate\": 0.0,\n...[1074 chars elided]...\n \"error\": null\n}", "plan_id": "a224d039c7ca", "design_id": "e704629abe32", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/The-OpenROAD-Project/OpenROAD", "commit": "3e3e483a4e3f98e2b5470b272040699de6dedbee", "path": "src/rsz/test/split_load_hier.v", "sha256": "e372f656c6be932ac7be0142d13f0e0074f4171aaf07347c8c10e6aef4d9e637"}} {"question": "The sync3d_c_ppp module synthesizes to just one cell. Given that, is the power-targeted optimization advice (clock gating, estimated power improvement) worth applying, considering its current area, power, and cell makeup?", "answer": "Probably not. Synthesis maps sync3d_c_ppp to a single p_SSYNC3DO_C_PPP cell with area 1.0, power 0.001 and delay 50.0, so the design has almost nothing to optimize. The power-targeted advice of clockgate and operand isolation predicts a -25.0 power improvement, but it also predicts 5.0 area and 5.0 delay overhead and adds timing complexity, which is likely not worth it for one synchronizer primitive.", "source_file": "github_repos/nvdla_hw/vmod/vlibs/sync3d_c_ppp.v", "module_name": "sync3d_c_ppp", "tool_name": "optimization_advisor+synthesis_tool", "tool_parameters": [{"target_metric": "power"}, {"optimization_level": "medium"}], "tool_result": "[optimization_advisor {\"target_metric\": \"power\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"power\",\n \"recommended_recipes\": [\n \"synth -top sync3d_c_ppp\",\n \"opt; share; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean; clockgate\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"clock_gating\",\n \"description\": \"Insert clock gating for registers\",\n \"command\": \"clockgate\"\n },\n {\n \"type\": \"operand_isolation\",\n \"description\": \"Isolate operands when not in use\",\n \"command\": \"Use enable signals for arithmetic\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": 5.0,\n \"delay\": 5.0,\n \"power\": -25.0\n },\n \"trade_offs\": [\n \"Power optimization may add area overhead\",\n \"Clock gating adds timing complexity\"\n ],\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 1.0,\n \"delay\": 50.0,\n \"power\": 0.001,\n \"gate_count\": 1,\n \"cell_breakdown\": {\n \"p_SSYNC3DO_C_PPP\": 1\n },\n \"wire_count\": 4,\n \"wire_bits\": 4,\n \"critical_path_estimate\": 50.0,\n...[1079 chars elided]...\n \"error\": null\n}", "category": "multi_tool", "subcategory": "optimization_advisor+synthesis_tool", "difficulty": "compositional", "question_hash": "aac19b3cfcdc", "stage1_target": "[{\"tool\": \"optimization_advisor\", \"parameters\": {\"target_metric\": \"power\"}}, {\"tool\": \"synthesis_tool\", \"parameters\": {\"optimization_level\": \"medium\"}}]", "stage2_context": "Question: The sync3d_c_ppp module synthesizes to just one cell. Given that, is the power-targeted optimization advice (clock gating, estimated power improvement) worth applying, considering its current area, power, and cell makeup?\n\n[optimization_advisor {\"target_metric\": \"power\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"power\",\n \"recommended_recipes\": [\n \"synth -top sync3d_c_ppp\",\n \"opt; share; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean; clockgate\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"clock_gating\",\n \"description\": \"Insert clock gating for registers\",\n \"command\": \"clockgate\"\n },\n {\n \"type\": \"operand_isolation\",\n \"description\": \"Isolate operands when not in use\",\n \"command\": \"Use enable signals for arithmetic\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": 5.0,\n \"delay\": 5.0,\n \"power\": -25.0\n },\n \"trade_offs\": [\n \"Power optimization may add area overhead\",\n \"Clock gating adds timing complexity\"\n ],\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 1.0,\n \"delay\": 50.0,\n \"power\": 0.001,\n \"gate_count\": 1,\n \"cell_breakdown\": {\n \"p_SSYNC3DO_C_PPP\": 1\n },\n \"wire_count\": 4,\n \"wire_bits\": 4,\n \"critical_path_estimate\": 50.0,\n...[1079 chars elided]...\n \"error\": null\n}", "plan_id": "28528f80337f", "design_id": "e96b4b37e8d9", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/nvdla/hw", "commit": "8e06b1b9d85aab65b40d43d08eec5ea4681ff715", "path": "vmod/vlibs/sync3d_c_ppp.v", "sha256": "e600fdeda30bf55aa6170a7eaf2d1794b8c660587ff15235a0b0bcbed40ac013"}} {"question": "For NV_NVDLA_CDP_REG_single, the DFG shows 26 $adffe register nodes. How does that compare to the flip-flop count after medium-effort synthesis, and how big is the synthesized design overall in area and delay?", "answer": "The DFG for NV_NVDLA_CDP_REG_single has 26 $adffe word-level register nodes (out of 101 nodes in total). After medium-effort synthesis these become 267 single-bit $_DFFE_PN0P_ flip-flops, out of 1300 cells. The synthesized design has an area of 1333.0 and a critical-path delay of 399.28.", "source_file": "github_repos/nvdla_hw/vmod/nvdla/cdp/NV_NVDLA_CDP_REG_single.v", "module_name": "NV_NVDLA_CDP_REG_single", "tool_name": "graph_extractor+synthesis_tool", "tool_parameters": [{"graph_type": "DFG"}, {"optimization_level": "medium"}], "tool_result": "[graph_extractor {\"graph_type\": \"DFG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"DFG\",\n...[57397 chars elided]...\n \"node_count\": 101,\n \"edge_count\": 1759,\n \"graph_properties\": {\n \"node_types\": {\n \"$and\": 17,\n \"$adffe\": 26,\n \"$eq\": 17,\n \"$pmux\": 1,\n \"$logic_not\": 1,\n \"port_output\": 29,\n \"port_input\": 10\n },\n \"avg_degree\": 17.42,\n \"module_name\": \"NV_NVDLA_CDP_REG_single\"\n },\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 1333.0,\n \"delay\": 399.28,\n \"power\": 1.3,\n \"gate_count\": 1300,\n \"cell_breakdown\": {\n \"$_ANDNOT_\": 63,\n \"$_AND_\": 314,\n \"$_DFFE_PN0P_\": 267,\n \"$_NAND_\": 286,\n \"$_NOR_\": 240,\n \"$_ORNOT_\": 3,\n \"$_OR_\": 127\n },\n \"wire_count\": 1060,\n \"wire_bits\": 2000,\n \"critical_path_estimate\": 399.28,\n...[1231 chars elided]...\n \"error\": null\n}", "category": "multi_tool", "subcategory": "graph_extractor+synthesis_tool", "difficulty": "compositional", "question_hash": "ef426c5cb576", "stage1_target": "[{\"tool\": \"graph_extractor\", \"parameters\": {\"graph_type\": \"DFG\"}}, {\"tool\": \"synthesis_tool\", \"parameters\": {\"optimization_level\": \"medium\"}}]", "stage2_context": "Question: For NV_NVDLA_CDP_REG_single, the DFG shows 26 $adffe register nodes. How does that compare to the flip-flop count after medium-effort synthesis, and how big is the synthesized design overall in area and delay?\n\n[graph_extractor {\"graph_type\": \"DFG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"DFG\",\n...[57397 chars elided]...\n \"node_count\": 101,\n \"edge_count\": 1759,\n \"graph_properties\": {\n \"node_types\": {\n \"$and\": 17,\n \"$adffe\": 26,\n \"$eq\": 17,\n \"$pmux\": 1,\n \"$logic_not\": 1,\n \"port_output\": 29,\n \"port_input\": 10\n },\n \"avg_degree\": 17.42,\n \"module_name\": \"NV_NVDLA_CDP_REG_single\"\n },\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 1333.0,\n \"delay\": 399.28,\n \"power\": 1.3,\n \"gate_count\": 1300,\n \"cell_breakdown\": {\n \"$_ANDNOT_\": 63,\n \"$_AND_\": 314,\n \"$_DFFE_PN0P_\": 267,\n \"$_NAND_\": 286,\n \"$_NOR_\": 240,\n \"$_ORNOT_\": 3,\n \"$_OR_\": 127\n },\n \"wire_count\": 1060,\n \"wire_bits\": 2000,\n \"critical_path_estimate\": 399.28,\n...[1231 chars elided]...\n \"error\": null\n}", "plan_id": "36099e33aa0b", "design_id": "ea866c38f1ea", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/nvdla/hw", "commit": "8e06b1b9d85aab65b40d43d08eec5ea4681ff715", "path": "vmod/nvdla/cdp/NV_NVDLA_CDP_REG_single.v", "sha256": "7a75f932142088382424b237d37fd90d319478b2e4033abe1d6bc19936c199c4"}} {"question": "In the prescaler module, several RTL names have no netlist counterpart. Do the registers in its DFG suggest that this state logic was optimized away, or only that it was renamed?", "answer": "The RTL-to-netlist mapping has an alignment score of 58.33, with 7 signals mapped and r_presc, r_counter and event_o unmapped. The DFG (27 nodes, 302 edges) still contains 2 $adffe and 1 $adff flip-flop cells, along with 10 $mux and one $add node. This suggests the registered prescaler and counter logic is still there under new netlist names rather than removed.", "source_file": "github_repos/riscv-mcu_e203_hbirdv2/rtl/e203/perips/apb_adv_timer/prescaler.v", "module_name": "prescaler", "tool_name": "cross_stage_mapper+graph_extractor", "tool_parameters": [{}, {"graph_type": "DFG"}], "tool_result": "[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"ctrl_update_i\": [\n \"ctrl_update_i\"\n ],\n \"clk_i\": [\n \"clk_i\"\n ],\n \"wire\": [],\n \"reg\": [],\n \"cfg_presc_i\": [\n \"cfg_presc_i\"\n ],\n \"event_i\": [\n \"event_i\"\n ],\n \"r_presc\": [],\n \"ctrl_active_i\": [\n \"ctrl_active_i\"\n ],\n \"ctrl_rst_i\": [\n \"ctrl_rst_i\"\n ],\n \"r_counter\": [],\n \"event_o\": [],\n \"rstn_i\": [\n \"rstn_i\"\n ]\n },\n \"alignment_score\": 58.33,\n \"unmapped_elements\": [\n \"wire\",\n \"reg\",\n \"r_presc\",\n \"r_counter\",\n \"event_o\"\n ],\n \"mapping_statistics\": {\n \"rtl_signals\": 12,\n \"netlist_wires\": 280,\n \"netlist_cells\": 0,\n \"mapped_signals\": 7,\n \"unmapped_signals\": 5\n },\n \"error\": null\n}\n\n[graph_extractor {\"graph_type\": \"DFG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"DFG\",\n...[26223 chars elided]...\n \"node_count\": 27,\n \"edge_count\": 302,\n \"graph_properties\": {\n \"node_types\": {\n \"$logic_not\": 1,\n \"$eq\": 1,\n \"$add\": 1,\n \"$adffe\": 2,\n \"$ne\": 2,\n \"$reduce_and\": 1,\n \"$adff\": 1,\n \"$mux\": 10,\n \"port_input\": 7,\n \"port_output\": 1\n },\n \"avg_degree\": 11.19,\n \"module_name\": \"prescaler\"\n },\n \"error\": null\n}", "category": "multi_tool", "subcategory": "cross_stage_mapper+graph_extractor", "difficulty": "compositional", "question_hash": "59086a15baea", "stage1_target": "[{\"tool\": \"cross_stage_mapper\", \"parameters\": {}}, {\"tool\": \"graph_extractor\", \"parameters\": {\"graph_type\": \"DFG\"}}]", "stage2_context": "Question: In the prescaler module, several RTL names have no netlist counterpart. Do the registers in its DFG suggest that this state logic was optimized away, or only that it was renamed?\n\n[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"ctrl_update_i\": [\n \"ctrl_update_i\"\n ],\n \"clk_i\": [\n \"clk_i\"\n ],\n \"wire\": [],\n \"reg\": [],\n \"cfg_presc_i\": [\n \"cfg_presc_i\"\n ],\n \"event_i\": [\n \"event_i\"\n ],\n \"r_presc\": [],\n \"ctrl_active_i\": [\n \"ctrl_active_i\"\n ],\n \"ctrl_rst_i\": [\n \"ctrl_rst_i\"\n ],\n \"r_counter\": [],\n \"event_o\": [],\n \"rstn_i\": [\n \"rstn_i\"\n ]\n },\n \"alignment_score\": 58.33,\n \"unmapped_elements\": [\n \"wire\",\n \"reg\",\n \"r_presc\",\n \"r_counter\",\n \"event_o\"\n ],\n \"mapping_statistics\": {\n \"rtl_signals\": 12,\n \"netlist_wires\": 280,\n \"netlist_cells\": 0,\n \"mapped_signals\": 7,\n \"unmapped_signals\": 5\n },\n \"error\": null\n}\n\n[graph_extractor {\"graph_type\": \"DFG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"DFG\",\n...[26223 chars elided]...\n \"node_count\": 27,\n \"edge_count\": 302,\n \"graph_properties\": {\n \"node_types\": {\n \"$logic_not\": 1,\n \"$eq\": 1,\n \"$add\": 1,\n \"$adffe\": 2,\n \"$ne\": 2,\n \"$reduce_and\": 1,\n \"$adff\": 1,\n \"$mux\": 10,\n \"port_input\": 7,\n \"port_output\": 1\n },\n \"avg_degree\": 11.19,\n \"module_name\": \"prescaler\"\n },\n \"error\": null\n}", "plan_id": "fb8bfc9dfa75", "design_id": "ea96b154ada2", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/riscv-mcu/e203_hbirdv2", "commit": "9f3e34f337f5d0a1236a285871ffa2032491617a", "path": "rtl/e203/perips/apb_adv_timer/prescaler.v", "sha256": "ef988285ad3788b859a9ab212be364abb819aa7a41b5ca7eb5306dd88ec7a6d5"}} {"question": "For the prescaler module, how does the register usage seen in the source code compare with the flip-flops left after medium-effort synthesis, and how does the code's control complexity relate to the size and delay of the synthesized logic?", "answer": "The prescaler source declares 3 regs in 2 always blocks, and synthesis turns these into 16 enable flip-flops ($_DFFE_PN0P_) plus 1 plain $_DFF_PN0_. Its control logic has a cyclomatic complexity of 19 and a nesting depth of 11, and it maps to 70 cells with an area of 87.0 and a critical-path delay of 199.81.", "source_file": "github_repos/riscv-mcu_e203_hbirdv2/rtl/e203/perips/apb_adv_timer/prescaler.v", "module_name": "prescaler", "tool_name": "static_analyzer+synthesis_tool", "tool_parameters": [{"analysis_type": "full"}, {"optimization_level": "medium"}], "tool_result": "[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"prescaler\",\n \"port_count\": {\n \"inputs\": 7,\n \"outputs\": 1,\n \"inouts\": 0,\n \"total\": 8\n },\n \"signal_count\": {\n \"wires\": 7,\n \"regs\": 3,\n \"parameters\": 0,\n \"total\": 10\n },\n \"always_blocks\": 2,\n \"assign_statements\": 0,\n \"instantiations\": [\n \"proc_r_presc\",\n \"proc_r_counter\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 45,\n \"total_lines\": 64,\n \"cyclomatic_complexity\": 19,\n \"nesting_depth\": 11,\n \"operator_count\": 68\n },\n \"lint_warnings\": [],\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 87.0,\n \"delay\": 199.81,\n \"power\": 0.07,\n \"gate_count\": 70,\n \"cell_breakdown\": {\n \"$_ANDNOT_\": 5,\n \"$_AND_\": 21,\n \"$_DFFE_PN0P_\": 16,\n \"$_DFF_PN0_\": 1,\n \"$_NAND_\": 4,\n \"$_NOR_\": 2,\n \"$_NOT_\": 1,\n \"$_OR_\": 5,\n \"$_XNOR_\": 9,\n \"$_XOR_\": 6\n },\n \"wire_count\": 56,\n \"wire_bits\": 84,\n \"critical_path_estimate\": 199.81,\n...[1285 chars elided]...\n \"error\": null\n}", "category": "multi_tool", "subcategory": "static_analyzer+synthesis_tool", "difficulty": "compositional", "question_hash": "2b5e749db810", "stage1_target": "[{\"tool\": \"static_analyzer\", \"parameters\": {\"analysis_type\": \"full\"}}, {\"tool\": \"synthesis_tool\", \"parameters\": {\"optimization_level\": \"medium\"}}]", "stage2_context": "Question: For the prescaler module, how does the register usage seen in the source code compare with the flip-flops left after medium-effort synthesis, and how does the code's control complexity relate to the size and delay of the synthesized logic?\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"prescaler\",\n \"port_count\": {\n \"inputs\": 7,\n \"outputs\": 1,\n \"inouts\": 0,\n \"total\": 8\n },\n \"signal_count\": {\n \"wires\": 7,\n \"regs\": 3,\n \"parameters\": 0,\n \"total\": 10\n },\n \"always_blocks\": 2,\n \"assign_statements\": 0,\n \"instantiations\": [\n \"proc_r_presc\",\n \"proc_r_counter\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 45,\n \"total_lines\": 64,\n \"cyclomatic_complexity\": 19,\n \"nesting_depth\": 11,\n \"operator_count\": 68\n },\n \"lint_warnings\": [],\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 87.0,\n \"delay\": 199.81,\n \"power\": 0.07,\n \"gate_count\": 70,\n \"cell_breakdown\": {\n \"$_ANDNOT_\": 5,\n \"$_AND_\": 21,\n \"$_DFFE_PN0P_\": 16,\n \"$_DFF_PN0_\": 1,\n \"$_NAND_\": 4,\n \"$_NOR_\": 2,\n \"$_NOT_\": 1,\n \"$_OR_\": 5,\n \"$_XNOR_\": 9,\n \"$_XOR_\": 6\n },\n \"wire_count\": 56,\n \"wire_bits\": 84,\n \"critical_path_estimate\": 199.81,\n...[1285 chars elided]...\n \"error\": null\n}", "plan_id": "1bd8a108f57d", "design_id": "ea96b154ada2", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/riscv-mcu/e203_hbirdv2", "commit": "9f3e34f337f5d0a1236a285871ffa2032491617a", "path": "rtl/e203/perips/apb_adv_timer/prescaler.v", "sha256": "ef988285ad3788b859a9ab212be364abb819aa7a41b5ca7eb5306dd88ec7a6d5"}} {"question": "For sirv_pmu, synthesis at medium optimization gives a critical path estimate of 132.35 with 33 cells. A delay-targeted optimization analysis also exists. What delay change does it estimate, what area cost does it predict, and which of its suggestions fits this design's cell mix, given that the mix contains no arithmetic cells?", "answer": "sirv_pmu currently synthesizes to a 132.35 critical path with an area of 36.0 and 33 cells. The delay-targeted optimization estimates a -20.0 delay change, at the cost of a 10.0 area increase and a 5.0 power increase. The cell mix is simple logic (12 $_NOT_, 4 $_OR_, 3 $_AND_) plus 8 $_DFF_PP1_ flops with no arithmetic cells, so duplicating logic to reduce fanout (splitnets -driver) fits better than pipelining arithmetic operations.", "source_file": "github_repos/riscv-mcu_e203_hbirdv2/rtl/e203/perips/sirv_pmu.v", "module_name": "sirv_pmu", "tool_name": "optimization_advisor+synthesis_tool", "tool_parameters": [{"target_metric": "delay"}, {"optimization_level": "medium"}], "tool_result": "[optimization_advisor {\"target_metric\": \"delay\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"delay\",\n \"recommended_recipes\": [\n \"synth -top sirv_pmu\",\n \"opt -fast\",\n \"abc -fast -liberty stdcells.lib\",\n \"opt_clean\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"pipeline_insertion\",\n \"description\": \"Consider pipelining arithmetic operations\",\n \"command\": \"Use register retiming\"\n },\n {\n \"type\": \"logic_duplication\",\n \"description\": \"Duplicate logic to reduce fanout\",\n \"command\": \"splitnets -driver\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": 10.0,\n \"delay\": -20.0,\n \"power\": 5.0\n },\n \"trade_offs\": [\n \"Speed optimization increases area\",\n \"Higher power consumption\"\n ],\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 36.0,\n \"delay\": 132.35,\n \"power\": 0.033,\n \"gate_count\": 33,\n \"cell_breakdown\": {\n \"$_AND_\": 3,\n \"$_DFFE_PP_\": 2,\n \"$_DFF_PP1_\": 8,\n \"$_NOT_\": 12,\n \"$_ORNOT_\": 2,\n \"$_OR_\": 4,\n \"sirv_AsyncResetRegVec_1\": 1,\n \"sirv_pmu_core\": 1\n },\n \"wire_count\": 207,\n \"wire_bits\": 2610,\n \"critical_path_estimate\": 132.35,\n...[1262 chars elided]...\n \"error\": null\n}", "category": "multi_tool", "subcategory": "optimization_advisor+synthesis_tool", "difficulty": "compositional", "question_hash": "86f265822d50", "stage1_target": "[{\"tool\": \"optimization_advisor\", \"parameters\": {\"target_metric\": \"delay\"}}, {\"tool\": \"synthesis_tool\", \"parameters\": {\"optimization_level\": \"medium\"}}]", "stage2_context": "Question: For sirv_pmu, synthesis at medium optimization gives a critical path estimate of 132.35 with 33 cells. A delay-targeted optimization analysis also exists. What delay change does it estimate, what area cost does it predict, and which of its suggestions fits this design's cell mix, given that the mix contains no arithmetic cells?\n\n[optimization_advisor {\"target_metric\": \"delay\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"delay\",\n \"recommended_recipes\": [\n \"synth -top sirv_pmu\",\n \"opt -fast\",\n \"abc -fast -liberty stdcells.lib\",\n \"opt_clean\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"pipeline_insertion\",\n \"description\": \"Consider pipelining arithmetic operations\",\n \"command\": \"Use register retiming\"\n },\n {\n \"type\": \"logic_duplication\",\n \"description\": \"Duplicate logic to reduce fanout\",\n \"command\": \"splitnets -driver\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": 10.0,\n \"delay\": -20.0,\n \"power\": 5.0\n },\n \"trade_offs\": [\n \"Speed optimization increases area\",\n \"Higher power consumption\"\n ],\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 36.0,\n \"delay\": 132.35,\n \"power\": 0.033,\n \"gate_count\": 33,\n \"cell_breakdown\": {\n \"$_AND_\": 3,\n \"$_DFFE_PP_\": 2,\n \"$_DFF_PP1_\": 8,\n \"$_NOT_\": 12,\n \"$_ORNOT_\": 2,\n \"$_OR_\": 4,\n \"sirv_AsyncResetRegVec_1\": 1,\n \"sirv_pmu_core\": 1\n },\n \"wire_count\": 207,\n \"wire_bits\": 2610,\n \"critical_path_estimate\": 132.35,\n...[1262 chars elided]...\n \"error\": null\n}", "plan_id": "edcfcb9b7d85", "design_id": "ebe29323f694", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/riscv-mcu/e203_hbirdv2", "commit": "9f3e34f337f5d0a1236a285871ffa2032491617a", "path": "rtl/e203/perips/sirv_pmu.v", "sha256": "3f369dc1ce2de62e8f4de341850fb6567bad18f4bad28dbb4033c607d0c8c0b4"}} {"question": "The dummy module is already a flat gate-level netlist made of sky130 cells. Given its structure, how realistic is the projected area gain if I run the area-targeted optimization flow with aggressive operator sharing?", "answer": "The flow predicts an area change of -15.0 (with delay worsening by 5.0) by relying mainly on `share -aggressive` to share arithmetic operators. However, dummy has 0 always blocks, 0 assign statements and a cyclomatic complexity of 1, and it only instantiates primitive cells such as sky130_fd_sc_hd__xnor2_1, sky130_fd_sc_hd__and2_1 and sky130_fd_sc_hd__buf_4, so there are almost no high-level operators to share. Any real area savings would therefore come mostly from remapping the gates or removing cells like the buf_4, not from resource sharing.", "source_file": "github_repos/The-OpenROAD-Project_OpenROAD/test/upf/mpd_top.v", "module_name": "dummy", "tool_name": "optimization_advisor+static_analyzer", "tool_parameters": [{"target_metric": "area"}, {"analysis_type": "full"}], "tool_result": "[optimization_advisor {\"target_metric\": \"area\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"area\",\n \"recommended_recipes\": [\n \"synth -top dummy -flatten\",\n \"opt -full; share -aggressive; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean -purge\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"resource_sharing\",\n \"description\": \"Share arithmetic operators\",\n \"command\": \"share -aggressive\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": -15.0,\n \"delay\": 5.0,\n \"power\": -10.0\n },\n \"trade_offs\": [\n \"Area optimization may increase delay\",\n \"Aggressive sharing increases routing complexity\"\n ],\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"dummy\",\n \"port_count\": {\n \"inputs\": 4,\n \"outputs\": 6,\n \"inouts\": 0,\n \"total\": 10\n },\n \"signal_count\": {\n \"wires\": 13,\n \"regs\": 0,\n \"parameters\": 0,\n \"total\": 13\n },\n \"always_blocks\": 0,\n \"assign_statements\": 0,\n \"instantiations\": [\n \"sky130_fd_sc_hd__xnor2_1\",\n \"sky130_fd_sc_hd__and2_1\",\n \"sky130_fd_sc_hd__buf_4\",\n \"dummy\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 89,\n \"total_lines\": 92,\n \"cyclomatic_complexity\": 1,\n \"nesting_depth\": 0,\n \"operator_count\": 9\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "category": "multi_tool", "subcategory": "optimization_advisor+static_analyzer", "difficulty": "compositional", "question_hash": "f904821b0e39", "stage1_target": "[{\"tool\": \"optimization_advisor\", \"parameters\": {\"target_metric\": \"area\"}}, {\"tool\": \"static_analyzer\", \"parameters\": {\"analysis_type\": \"full\"}}]", "stage2_context": "Question: The dummy module is already a flat gate-level netlist made of sky130 cells. Given its structure, how realistic is the projected area gain if I run the area-targeted optimization flow with aggressive operator sharing?\n\n[optimization_advisor {\"target_metric\": \"area\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"area\",\n \"recommended_recipes\": [\n \"synth -top dummy -flatten\",\n \"opt -full; share -aggressive; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean -purge\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"resource_sharing\",\n \"description\": \"Share arithmetic operators\",\n \"command\": \"share -aggressive\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": -15.0,\n \"delay\": 5.0,\n \"power\": -10.0\n },\n \"trade_offs\": [\n \"Area optimization may increase delay\",\n \"Aggressive sharing increases routing complexity\"\n ],\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"dummy\",\n \"port_count\": {\n \"inputs\": 4,\n \"outputs\": 6,\n \"inouts\": 0,\n \"total\": 10\n },\n \"signal_count\": {\n \"wires\": 13,\n \"regs\": 0,\n \"parameters\": 0,\n \"total\": 13\n },\n \"always_blocks\": 0,\n \"assign_statements\": 0,\n \"instantiations\": [\n \"sky130_fd_sc_hd__xnor2_1\",\n \"sky130_fd_sc_hd__and2_1\",\n \"sky130_fd_sc_hd__buf_4\",\n \"dummy\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 89,\n \"total_lines\": 92,\n \"cyclomatic_complexity\": 1,\n \"nesting_depth\": 0,\n \"operator_count\": 9\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "plan_id": "5c2bff44017a", "design_id": "ebf92c95bfea", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/The-OpenROAD-Project/OpenROAD", "commit": "3e3e483a4e3f98e2b5470b272040699de6dedbee", "path": "test/upf/mpd_top.v", "sha256": "1bb7b6b0f15ff1ebbd83a87b10a6f466907b91eded8116813dc98d922a0fcd95"}} {"question": "For sirv_pmu, the CDFG shows how many flip-flops the module has and how they are built. Given that, how realistic is the power-targeted optimization plan, and what does that plan cost in area and delay?", "answer": "The sirv_pmu CDFG has 108 nodes, and its storage is mostly 8 $adff and 3 $dffe registers, so there are only a few flip-flops to clock-gate. That makes the recommended 'opt_clean; clockgate' step a fairly modest target. The power-targeted plan estimates a power change of -25.0, with area and delay each changing by 5.0, which matches its warning that power optimization may add area overhead and that clock gating adds timing complexity.", "source_file": "github_repos/riscv-mcu_e203_hbirdv2/rtl/e203/perips/sirv_pmu.v", "module_name": "sirv_pmu", "tool_name": "graph_extractor+optimization_advisor", "tool_parameters": [{"graph_type": "CDFG"}, {"target_metric": "power"}], "tool_result": "[graph_extractor {\"graph_type\": \"CDFG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"CDFG\",\n...[54005 chars elided]...\n \"node_count\": 108,\n \"edge_count\": 1390,\n \"graph_properties\": {\n \"node_types\": {\n \"$and\": 4,\n \"$not\": 7,\n \"$or\": 10,\n \"$dffe\": 3,\n \"$adff\": 8,\n \"sirv_AsyncResetRegVec_1\": 1,\n \"sirv_pmu_core\": 1,\n \"port_input\": 49,\n \"port_output\": 25\n },\n \"avg_degree\": 12.87,\n \"module_name\": \"sirv_pmu\"\n },\n \"error\": null\n}\n\n[optimization_advisor {\"target_metric\": \"power\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"power\",\n \"recommended_recipes\": [\n \"synth -top sirv_pmu\",\n \"opt; share; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean; clockgate\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"clock_gating\",\n \"description\": \"Insert clock gating for registers\",\n \"command\": \"clockgate\"\n },\n {\n \"type\": \"operand_isolation\",\n \"description\": \"Isolate operands when not in use\",\n \"command\": \"Use enable signals for arithmetic\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": 5.0,\n \"delay\": 5.0,\n \"power\": -25.0\n },\n \"trade_offs\": [\n \"Power optimization may add area overhead\",\n \"Clock gating adds timing complexity\"\n ],\n \"error\": null\n}", "category": "multi_tool", "subcategory": "graph_extractor+optimization_advisor", "difficulty": "compositional", "question_hash": "675930e77c0c", "stage1_target": "[{\"tool\": \"graph_extractor\", \"parameters\": {\"graph_type\": \"CDFG\"}}, {\"tool\": \"optimization_advisor\", \"parameters\": {\"target_metric\": \"power\"}}]", "stage2_context": "Question: For sirv_pmu, the CDFG shows how many flip-flops the module has and how they are built. Given that, how realistic is the power-targeted optimization plan, and what does that plan cost in area and delay?\n\n[graph_extractor {\"graph_type\": \"CDFG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"CDFG\",\n...[54005 chars elided]...\n \"node_count\": 108,\n \"edge_count\": 1390,\n \"graph_properties\": {\n \"node_types\": {\n \"$and\": 4,\n \"$not\": 7,\n \"$or\": 10,\n \"$dffe\": 3,\n \"$adff\": 8,\n \"sirv_AsyncResetRegVec_1\": 1,\n \"sirv_pmu_core\": 1,\n \"port_input\": 49,\n \"port_output\": 25\n },\n \"avg_degree\": 12.87,\n \"module_name\": \"sirv_pmu\"\n },\n \"error\": null\n}\n\n[optimization_advisor {\"target_metric\": \"power\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"power\",\n \"recommended_recipes\": [\n \"synth -top sirv_pmu\",\n \"opt; share; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean; clockgate\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"clock_gating\",\n \"description\": \"Insert clock gating for registers\",\n \"command\": \"clockgate\"\n },\n {\n \"type\": \"operand_isolation\",\n \"description\": \"Isolate operands when not in use\",\n \"command\": \"Use enable signals for arithmetic\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": 5.0,\n \"delay\": 5.0,\n \"power\": -25.0\n },\n \"trade_offs\": [\n \"Power optimization may add area overhead\",\n \"Clock gating adds timing complexity\"\n ],\n \"error\": null\n}", "plan_id": "ad90feb56138", "design_id": "ebe29323f694", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/riscv-mcu/e203_hbirdv2", "commit": "9f3e34f337f5d0a1236a285871ffa2032491617a", "path": "rtl/e203/perips/sirv_pmu.v", "sha256": "3f369dc1ce2de62e8f4de341850fb6567bad18f4bad28dbb4033c607d0c8c0b4"}} {"question": "For RAMDP_20X80_GL_M1_E2, the RTL has a fairly small number of always blocks and registers, but how does that compare with the storage elements that show up after medium-effort synthesis? Are flip-flops or latches inferred, and what area and delay does the synthesized design report?", "answer": "The RTL of RAMDP_20X80_GL_M1_E2 has only 23 always blocks and 23 regs, but synthesis infers latches rather than flip-flops: 1600 $_DLATCH_N_ and 92 $_DLATCH_P_ cells, alongside 3200 $_NAND_ gates. This latch-based storage array takes up an area of 8461.0 with a delay of 451.79.", "source_file": "github_repos/nvdla_hw/vmod/rams/model/RAMDP_20X80_GL_M1_E2.v", "module_name": "RAMDP_20X80_GL_M1_E2", "tool_name": "static_analyzer+synthesis_tool", "tool_parameters": [{"analysis_type": "full"}, {"optimization_level": "medium"}], "tool_result": "[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"RAMDP_20X80_GL_M1_E2\",\n \"port_count\": {\n \"inputs\": 41,\n \"outputs\": 2,\n \"inouts\": 0,\n \"total\": 43\n },\n \"signal_count\": {\n \"wires\": 38,\n \"regs\": 23,\n \"parameters\": 6,\n \"total\": 61\n },\n \"always_blocks\": 23,\n \"assign_statements\": 31,\n \"instantiations\": [\n \"generate\",\n \"off\",\n \"RAM_BANK_RAMDP_20X80_GL_M1_E2\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 727,\n \"total_lines\": 952,\n \"cyclomatic_complexity\": 68,\n \"nesting_depth\": 92,\n \"operator_count\": 1662\n },\n \"lint_warnings\": [],\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 8461.0,\n \"delay\": 451.79,\n \"power\": 6.983,\n \"gate_count\": 6983,\n \"cell_breakdown\": {\n \"$_ANDNOT_\": 3,\n \"$_AND_\": 168,\n \"$_DLATCH_N_\": 1600,\n \"$_DLATCH_P_\": 92,\n \"$_NAND_\": 3200,\n \"$_NOR_\": 10,\n \"$_NOT_\": 1,\n \"$paramod$db4ddc76c1373f6b1032b545af3ba4e6d7595172\\\\vram_RAMDP_20X80_GL_M1_E2\": 1,\n \"RAM_BANK_RAMDP_20X80_GL_M1_E2\": 1\n },\n \"wire_count\": 195,\n \"wire_bits\": 36\n...[1367 chars elided]...\n \"error\": null\n}", "category": "multi_tool", "subcategory": "static_analyzer+synthesis_tool", "difficulty": "compositional", "question_hash": "f1e821c8a86e", "stage1_target": "[{\"tool\": \"static_analyzer\", \"parameters\": {\"analysis_type\": \"full\"}}, {\"tool\": \"synthesis_tool\", \"parameters\": {\"optimization_level\": \"medium\"}}]", "stage2_context": "Question: For RAMDP_20X80_GL_M1_E2, the RTL has a fairly small number of always blocks and registers, but how does that compare with the storage elements that show up after medium-effort synthesis? Are flip-flops or latches inferred, and what area and delay does the synthesized design report?\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"RAMDP_20X80_GL_M1_E2\",\n \"port_count\": {\n \"inputs\": 41,\n \"outputs\": 2,\n \"inouts\": 0,\n \"total\": 43\n },\n \"signal_count\": {\n \"wires\": 38,\n \"regs\": 23,\n \"parameters\": 6,\n \"total\": 61\n },\n \"always_blocks\": 23,\n \"assign_statements\": 31,\n \"instantiations\": [\n \"generate\",\n \"off\",\n \"RAM_BANK_RAMDP_20X80_GL_M1_E2\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 727,\n \"total_lines\": 952,\n \"cyclomatic_complexity\": 68,\n \"nesting_depth\": 92,\n \"operator_count\": 1662\n },\n \"lint_warnings\": [],\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 8461.0,\n \"delay\": 451.79,\n \"power\": 6.983,\n \"gate_count\": 6983,\n \"cell_breakdown\": {\n \"$_ANDNOT_\": 3,\n \"$_AND_\": 168,\n \"$_DLATCH_N_\": 1600,\n \"$_DLATCH_P_\": 92,\n \"$_NAND_\": 3200,\n \"$_NOR_\": 10,\n \"$_NOT_\": 1,\n \"$paramod$db4ddc76c1373f6b1032b545af3ba4e6d7595172\\\\vram_RAMDP_20X80_GL_M1_E2\": 1,\n \"RAM_BANK_RAMDP_20X80_GL_M1_E2\": 1\n },\n \"wire_count\": 195,\n \"wire_bits\": 36\n...[1367 chars elided]...\n \"error\": null\n}", "plan_id": "32e7e971532b", "design_id": "ed35efb38229", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/nvdla/hw", "commit": "8e06b1b9d85aab65b40d43d08eec5ea4681ff715", "path": "vmod/rams/model/RAMDP_20X80_GL_M1_E2.v", "sha256": "8bc631c5c390db1ab86695d3312efa61e033573cfb890e714f5b2d796dec60f3"}} {"question": "For the tcm_mem_pmem module, a power-targeted optimization recommends clock gating for its registers. Considering how many registers and always blocks the module has, along with its control complexity, is clock gating a reasonable choice, and what power improvement and trade-offs should I expect?", "answer": "With 12 regs spread across 4 always blocks and a cyclomatic complexity of 33, tcm_mem_pmem has enough register state and conditional control to justify the recommended 'clockgate' step. The power-targeted estimate is a -25.0 power change, with area and delay each estimated at 5.0. The listed trade-offs are possible area overhead and extra timing complexity from clock gating.", "source_file": "github_repos/ultraembedded_riscv/top_tcm_axi/src_v/tcm_mem_pmem.v", "module_name": "tcm_mem_pmem", "tool_name": "optimization_advisor+static_analyzer", "tool_parameters": [{"target_metric": "power"}, {"analysis_type": "full"}], "tool_result": "[optimization_advisor {\"target_metric\": \"power\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"power\",\n \"recommended_recipes\": [\n \"synth -top tcm_mem_pmem\",\n \"opt; share; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean; clockgate\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"clock_gating\",\n \"description\": \"Insert clock gating for registers\",\n \"command\": \"clockgate\"\n },\n {\n \"type\": \"operand_isolation\",\n \"description\": \"Isolate operands when not in use\",\n \"command\": \"Use enable signals for arithmetic\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": 5.0,\n \"delay\": 5.0,\n \"power\": -25.0\n },\n \"trade_offs\": [\n \"Power optimization may add area overhead\",\n \"Clock gating adds timing complexity\"\n ],\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"tcm_mem_pmem\",\n \"port_count\": {\n \"inputs\": 18,\n \"outputs\": 9,\n \"inouts\": 0,\n \"total\": 27\n },\n \"signal_count\": {\n \"wires\": 17,\n \"regs\": 12,\n \"parameters\": 4,\n \"total\": 29\n },\n \"always_blocks\": 4,\n \"assign_statements\": 19,\n \"instantiations\": [\n \"Push\",\n \"continuation\",\n \"up\",\n \"accepted\",\n \"Pop\",\n \"burst\",\n \"CONSEQUENTIAL\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 284,\n \"total_lines\": 443,\n \"cyclomatic_complexity\": 33,\n \"nesting_depth\": 18,\n \"operator_count\": 2650\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "category": "multi_tool", "subcategory": "optimization_advisor+static_analyzer", "difficulty": "compositional", "question_hash": "efce10e74a8b", "stage1_target": "[{\"tool\": \"optimization_advisor\", \"parameters\": {\"target_metric\": \"power\"}}, {\"tool\": \"static_analyzer\", \"parameters\": {\"analysis_type\": \"full\"}}]", "stage2_context": "Question: For the tcm_mem_pmem module, a power-targeted optimization recommends clock gating for its registers. Considering how many registers and always blocks the module has, along with its control complexity, is clock gating a reasonable choice, and what power improvement and trade-offs should I expect?\n\n[optimization_advisor {\"target_metric\": \"power\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"power\",\n \"recommended_recipes\": [\n \"synth -top tcm_mem_pmem\",\n \"opt; share; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean; clockgate\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"clock_gating\",\n \"description\": \"Insert clock gating for registers\",\n \"command\": \"clockgate\"\n },\n {\n \"type\": \"operand_isolation\",\n \"description\": \"Isolate operands when not in use\",\n \"command\": \"Use enable signals for arithmetic\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": 5.0,\n \"delay\": 5.0,\n \"power\": -25.0\n },\n \"trade_offs\": [\n \"Power optimization may add area overhead\",\n \"Clock gating adds timing complexity\"\n ],\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"tcm_mem_pmem\",\n \"port_count\": {\n \"inputs\": 18,\n \"outputs\": 9,\n \"inouts\": 0,\n \"total\": 27\n },\n \"signal_count\": {\n \"wires\": 17,\n \"regs\": 12,\n \"parameters\": 4,\n \"total\": 29\n },\n \"always_blocks\": 4,\n \"assign_statements\": 19,\n \"instantiations\": [\n \"Push\",\n \"continuation\",\n \"up\",\n \"accepted\",\n \"Pop\",\n \"burst\",\n \"CONSEQUENTIAL\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 284,\n \"total_lines\": 443,\n \"cyclomatic_complexity\": 33,\n \"nesting_depth\": 18,\n \"operator_count\": 2650\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "plan_id": "b3eb83af22cf", "design_id": "ee499848ab6f", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/ultraembedded/riscv", "commit": "7ae6f803e30f78c6ea3121e73c3adf50ff912730", "path": "top_tcm_axi/src_v/tcm_mem_pmem.v", "sha256": "171b6a903df5b76b98893acdbfd6c75e029a21ffce6f916789129bac08de51aa"}} {"question": "For the module top, I'd like to check that its CDFG matches the code structure. How many nodes and edges does the CDFG have, how many DFF_X1 cells does it show, and do the port and instantiated-cell counts in the code agree with it?", "answer": "The CDFG for top has 9 nodes and 13 edges, including 2 DFF_X1 flops plus one INV_X1 and one AND2_X1, with 3 input-port and 2 output-port nodes. This agrees with the code, which declares 3 inputs and 2 outputs (5 ports total), instantiates only DFF_X1, AND2_X1 and INV_X1, and has 0 always blocks and a cyclomatic complexity of 1.", "source_file": "github_repos/The-OpenROAD-Project_OpenROAD/src/cut/test/side_outputs_extract_logic_depth.v", "module_name": "top", "tool_name": "graph_extractor+static_analyzer", "tool_parameters": [{"graph_type": "CDFG"}, {"analysis_type": "full"}], "tool_result": "[graph_extractor {\"graph_type\": \"CDFG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"CDFG\",\n...[1478 chars elided]...\n \"node_count\": 9,\n \"edge_count\": 13,\n \"graph_properties\": {\n \"node_types\": {\n \"INV_X1\": 1,\n \"AND2_X1\": 1,\n \"DFF_X1\": 2,\n \"port_input\": 3,\n \"port_output\": 2\n },\n \"avg_degree\": 1.44,\n \"module_name\": \"top\"\n },\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"top\",\n \"port_count\": {\n \"inputs\": 3,\n \"outputs\": 2,\n \"inouts\": 0,\n \"total\": 5\n },\n \"signal_count\": {\n \"wires\": 4,\n \"regs\": 0,\n \"parameters\": 0,\n \"total\": 4\n },\n \"always_blocks\": 0,\n \"assign_statements\": 0,\n \"instantiations\": [\n \"DFF_X1\",\n \"AND2_X1\",\n \"INV_X1\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 38,\n \"total_lines\": 47,\n \"cyclomatic_complexity\": 1,\n \"nesting_depth\": 0,\n \"operator_count\": 11\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "category": "multi_tool", "subcategory": "graph_extractor+static_analyzer", "difficulty": "compositional", "question_hash": "324a3be61d3b", "stage1_target": "[{\"tool\": \"graph_extractor\", \"parameters\": {\"graph_type\": \"CDFG\"}}, {\"tool\": \"static_analyzer\", \"parameters\": {\"analysis_type\": \"full\"}}]", "stage2_context": "Question: For the module top, I'd like to check that its CDFG matches the code structure. How many nodes and edges does the CDFG have, how many DFF_X1 cells does it show, and do the port and instantiated-cell counts in the code agree with it?\n\n[graph_extractor {\"graph_type\": \"CDFG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"CDFG\",\n...[1478 chars elided]...\n \"node_count\": 9,\n \"edge_count\": 13,\n \"graph_properties\": {\n \"node_types\": {\n \"INV_X1\": 1,\n \"AND2_X1\": 1,\n \"DFF_X1\": 2,\n \"port_input\": 3,\n \"port_output\": 2\n },\n \"avg_degree\": 1.44,\n \"module_name\": \"top\"\n },\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"top\",\n \"port_count\": {\n \"inputs\": 3,\n \"outputs\": 2,\n \"inouts\": 0,\n \"total\": 5\n },\n \"signal_count\": {\n \"wires\": 4,\n \"regs\": 0,\n \"parameters\": 0,\n \"total\": 4\n },\n \"always_blocks\": 0,\n \"assign_statements\": 0,\n \"instantiations\": [\n \"DFF_X1\",\n \"AND2_X1\",\n \"INV_X1\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 38,\n \"total_lines\": 47,\n \"cyclomatic_complexity\": 1,\n \"nesting_depth\": 0,\n \"operator_count\": 11\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "plan_id": "0880c6a4411e", "design_id": "eef8a9c3c4ae", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/The-OpenROAD-Project/OpenROAD", "commit": "3e3e483a4e3f98e2b5470b272040699de6dedbee", "path": "src/cut/test/side_outputs_extract_logic_depth.v", "sha256": "cdd1dc17fd9d9156affe65d0122679d07cd126d48492292b47ef6ff41dacf2e7"}} {"question": "The sync3d_s_ppp module synthesizes at medium optimization to a single cell. Given that result, is it worth running the recommended area-targeted optimization flow, and what would it cost in delay?", "answer": "Probably not. At medium optimization, sync3d_s_ppp maps to one p_SSYNC3DO_S_PPP cell with area 1.0, delay 50.0 and only 4 wires, so there are no arithmetic operators for 'share -aggressive' to merge. The area-targeted flow estimates an area improvement of -15.0 but a delay change of 5.0, so on a single synchronizer cell it would likely make timing worse without a real area gain.", "source_file": "github_repos/nvdla_hw/vmod/vlibs/sync3d_s_ppp.v", "module_name": "sync3d_s_ppp", "tool_name": "optimization_advisor+synthesis_tool", "tool_parameters": [{"target_metric": "area"}, {"optimization_level": "medium"}], "tool_result": "[optimization_advisor {\"target_metric\": \"area\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"area\",\n \"recommended_recipes\": [\n \"synth -top sync3d_s_ppp -flatten\",\n \"opt -full; share -aggressive; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean -purge\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"resource_sharing\",\n \"description\": \"Share arithmetic operators\",\n \"command\": \"share -aggressive\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": -15.0,\n \"delay\": 5.0,\n \"power\": -10.0\n },\n \"trade_offs\": [\n \"Area optimization may increase delay\",\n \"Aggressive sharing increases routing complexity\"\n ],\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 1.0,\n \"delay\": 50.0,\n \"power\": 0.001,\n \"gate_count\": 1,\n \"cell_breakdown\": {\n \"p_SSYNC3DO_S_PPP\": 1\n },\n \"wire_count\": 4,\n \"wire_bits\": 4,\n \"critical_path_estimate\": 50.0,\n...[1079 chars elided]...\n \"error\": null\n}", "category": "multi_tool", "subcategory": "optimization_advisor+synthesis_tool", "difficulty": "compositional", "question_hash": "67a7a59bef81", "stage1_target": "[{\"tool\": \"optimization_advisor\", \"parameters\": {\"target_metric\": \"area\"}}, {\"tool\": \"synthesis_tool\", \"parameters\": {\"optimization_level\": \"medium\"}}]", "stage2_context": "Question: The sync3d_s_ppp module synthesizes at medium optimization to a single cell. Given that result, is it worth running the recommended area-targeted optimization flow, and what would it cost in delay?\n\n[optimization_advisor {\"target_metric\": \"area\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"area\",\n \"recommended_recipes\": [\n \"synth -top sync3d_s_ppp -flatten\",\n \"opt -full; share -aggressive; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean -purge\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"resource_sharing\",\n \"description\": \"Share arithmetic operators\",\n \"command\": \"share -aggressive\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": -15.0,\n \"delay\": 5.0,\n \"power\": -10.0\n },\n \"trade_offs\": [\n \"Area optimization may increase delay\",\n \"Aggressive sharing increases routing complexity\"\n ],\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 1.0,\n \"delay\": 50.0,\n \"power\": 0.001,\n \"gate_count\": 1,\n \"cell_breakdown\": {\n \"p_SSYNC3DO_S_PPP\": 1\n },\n \"wire_count\": 4,\n \"wire_bits\": 4,\n \"critical_path_estimate\": 50.0,\n...[1079 chars elided]...\n \"error\": null\n}", "plan_id": "1563f5b830b5", "design_id": "ef0a0a2f3c01", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/nvdla/hw", "commit": "8e06b1b9d85aab65b40d43d08eec5ea4681ff715", "path": "vmod/vlibs/sync3d_s_ppp.v", "sha256": "ca172f0b4eb1cee435842d775af71dc1eb35d60033b351e8f1f209773042c10c"}} {"question": "For serv_compdec, the area-focused optimization recommends mux sharing and aggressive resource sharing. Given the module's structure and complexity, how much area reduction should I expect, and does its control-heavy code make the delay penalty a real concern?", "answer": "Area-focused optimization of serv_compdec is estimated to cut area by -15.0% and power by -10.0%, but delay may rise by 5.0% because aggressive sharing (\"share -aggressive\") and muxcover add routing complexity. That trade-off matters because the module is branch-heavy: it has a cyclomatic complexity of 21, nesting depth of 35 and 207 operators across 2 always blocks and 1 assign statement, so much of its logic is multiplexing that sharing could make slower.", "source_file": "github_repos/olofk_serv/rtl/serv_compdec.v", "module_name": "serv_compdec", "tool_name": "optimization_advisor+static_analyzer", "tool_parameters": [{"target_metric": "area"}, {"analysis_type": "full"}], "tool_result": "[optimization_advisor {\"target_metric\": \"area\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"area\",\n \"recommended_recipes\": [\n \"synth -top serv_compdec -flatten\",\n \"opt -full; share -aggressive; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean -purge\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"mux_optimization\",\n \"description\": \"Share multiplexers where possible\",\n \"command\": \"muxcover; opt\"\n },\n {\n \"type\": \"resource_sharing\",\n \"description\": \"Share arithmetic operators\",\n \"command\": \"share -aggressive\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": -15.0,\n \"delay\": 5.0,\n \"power\": -10.0\n },\n \"trade_offs\": [\n \"Area optimization may increase delay\",\n \"Aggressive sharing increases routing complexity\"\n ],\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"serv_compdec\",\n \"port_count\": {\n \"inputs\": 3,\n \"outputs\": 2,\n \"inouts\": 0,\n \"total\": 5\n },\n \"signal_count\": {\n \"wires\": 4,\n \"regs\": 3,\n \"parameters\": 8,\n \"total\": 7\n },\n \"always_blocks\": 2,\n \"assign_statements\": 1,\n \"instantiations\": [],\n \"code_complexity\": {\n \"lines_of_code\": 152,\n \"total_lines\": 233,\n \"cyclomatic_complexity\": 21,\n \"nesting_depth\": 35,\n \"operator_count\": 207\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "category": "multi_tool", "subcategory": "optimization_advisor+static_analyzer", "difficulty": "compositional", "question_hash": "37188d5ef15c", "stage1_target": "[{\"tool\": \"optimization_advisor\", \"parameters\": {\"target_metric\": \"area\"}}, {\"tool\": \"static_analyzer\", \"parameters\": {\"analysis_type\": \"full\"}}]", "stage2_context": "Question: For serv_compdec, the area-focused optimization recommends mux sharing and aggressive resource sharing. Given the module's structure and complexity, how much area reduction should I expect, and does its control-heavy code make the delay penalty a real concern?\n\n[optimization_advisor {\"target_metric\": \"area\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"area\",\n \"recommended_recipes\": [\n \"synth -top serv_compdec -flatten\",\n \"opt -full; share -aggressive; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean -purge\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"mux_optimization\",\n \"description\": \"Share multiplexers where possible\",\n \"command\": \"muxcover; opt\"\n },\n {\n \"type\": \"resource_sharing\",\n \"description\": \"Share arithmetic operators\",\n \"command\": \"share -aggressive\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": -15.0,\n \"delay\": 5.0,\n \"power\": -10.0\n },\n \"trade_offs\": [\n \"Area optimization may increase delay\",\n \"Aggressive sharing increases routing complexity\"\n ],\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"serv_compdec\",\n \"port_count\": {\n \"inputs\": 3,\n \"outputs\": 2,\n \"inouts\": 0,\n \"total\": 5\n },\n \"signal_count\": {\n \"wires\": 4,\n \"regs\": 3,\n \"parameters\": 8,\n \"total\": 7\n },\n \"always_blocks\": 2,\n \"assign_statements\": 1,\n \"instantiations\": [],\n \"code_complexity\": {\n \"lines_of_code\": 152,\n \"total_lines\": 233,\n \"cyclomatic_complexity\": 21,\n \"nesting_depth\": 35,\n \"operator_count\": 207\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "plan_id": "d9900d125dfb", "design_id": "f11941066222", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/olofk/serv", "commit": "f200eb2ed7b69ac1c6b8eddd47654522aeee5ce8", "path": "rtl/serv_compdec.v", "sha256": "b1799ad9c5f10756fc336788d4bf871c5a6d4181c2f62568fad1b3bbe86504ae"}} {"question": "For the sirv_plic_man module, how big is its AIG representation and how does that compare with the source-level complexity, and what does a delay-targeted optimization pass estimate it would gain, and at what area cost?", "answer": "The AIG for sirv_plic_man contains 9973 nodes (3901 AND and 6037 NOT) and 23993 edges, which fits the source's high complexity: 340 lines of code, cyclomatic complexity 44, and 95 assign statements. A delay-targeted optimization is estimated to change delay by -20.0 while increasing area by 10.0, so the speed gain costs area.", "source_file": "github_repos/riscv-mcu_e203_hbirdv2/rtl/e203/perips/sirv_plic_man.v", "module_name": "sirv_plic_man", "tool_name": "graph_extractor+optimization_advisor+static_analyzer", "tool_parameters": [{"graph_type": "AIG"}, {"target_metric": "delay"}, {"analysis_type": "full"}], "tool_result": "[graph_extractor {\"graph_type\": \"AIG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"AIG\",\n...[34228 chars elided]...\n \"node_count\": 9973,\n \"edge_count\": 23993,\n \"graph_properties\": {\n \"node_types\": {\n \"$_AND_\": 3901,\n \"$_NOT_\": 6037,\n \"sirv_gnrl_dfflr\": 16,\n \"sirv_LevelGateway\": 7,\n \"port_input\": 8,\n \"port_output\": 4\n },\n \"avg_degree\": 2.41,\n \"module_name\": \"sirv_plic_man\"\n },\n \"error\": null\n}\n\n[optimization_advisor {\"target_metric\": \"delay\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"delay\",\n \"recommended_recipes\": [\n \"synth -top sirv_plic_man\",\n \"opt -fast\",\n \"abc -fast -liberty stdcells.lib\",\n \"opt_clean\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"pipeline_insertion\",\n \"description\": \"Consider pipelining arithmetic operations\",\n \"command\": \"Use register retiming\"\n },\n {\n \"type\": \"logic_duplication\",\n \"description\": \"Duplicate logic to reduce fanout\",\n \"command\": \"splitnets -driver\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": 10.0,\n \"delay\": -20.0,\n \"power\": 5.0\n },\n \"trade_offs\": [\n \"Speed optimization increases area\",\n \"Higher power consumption\"\n ],\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"sirv_plic_man\",\n \"port_count\": {\n \"inputs\": 6,\n \"outputs\": 5,\n \"inouts\": 0,\n \"total\": 11\n },\n \"signal_count\": {\n \"wires\": 32,\n \"regs\": 0,\n \"parameters\": 7,\n \"total\": 32\n },\n \"always_blocks\": 3,\n \"assign_statements\": 95,\n \"instantiations\": [\n \"comp\",\n \"array\",\n \"write\",\n \"sirv_LevelGateway\",\n \"read\",\n \"generate\",\n \"2\",\n \"priority\",\n \"last_one\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 340,\n \"total_lines\": 523,\n \"cyclomatic_complexity\": 44,\n \"nesting_depth\": 35,\n \"operator_count\": 1965\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "category": "multi_tool", "subcategory": "graph_extractor+optimization_advisor+static_analyzer", "difficulty": "compositional", "question_hash": "579db5ee5808", "stage1_target": "[{\"tool\": \"graph_extractor\", \"parameters\": {\"graph_type\": \"AIG\"}}, {\"tool\": \"optimization_advisor\", \"parameters\": {\"target_metric\": \"delay\"}}, {\"tool\": \"static_analyzer\", \"parameters\": {\"analysis_type\": \"full\"}}]", "stage2_context": "Question: For the sirv_plic_man module, how big is its AIG representation and how does that compare with the source-level complexity, and what does a delay-targeted optimization pass estimate it would gain, and at what area cost?\n\n[graph_extractor {\"graph_type\": \"AIG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"AIG\",\n...[34228 chars elided]...\n \"node_count\": 9973,\n \"edge_count\": 23993,\n \"graph_properties\": {\n \"node_types\": {\n \"$_AND_\": 3901,\n \"$_NOT_\": 6037,\n \"sirv_gnrl_dfflr\": 16,\n \"sirv_LevelGateway\": 7,\n \"port_input\": 8,\n \"port_output\": 4\n },\n \"avg_degree\": 2.41,\n \"module_name\": \"sirv_plic_man\"\n },\n \"error\": null\n}\n\n[optimization_advisor {\"target_metric\": \"delay\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"delay\",\n \"recommended_recipes\": [\n \"synth -top sirv_plic_man\",\n \"opt -fast\",\n \"abc -fast -liberty stdcells.lib\",\n \"opt_clean\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"pipeline_insertion\",\n \"description\": \"Consider pipelining arithmetic operations\",\n \"command\": \"Use register retiming\"\n },\n {\n \"type\": \"logic_duplication\",\n \"description\": \"Duplicate logic to reduce fanout\",\n \"command\": \"splitnets -driver\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": 10.0,\n \"delay\": -20.0,\n \"power\": 5.0\n },\n \"trade_offs\": [\n \"Speed optimization increases area\",\n \"Higher power consumption\"\n ],\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"sirv_plic_man\",\n \"port_count\": {\n \"inputs\": 6,\n \"outputs\": 5,\n \"inouts\": 0,\n \"total\": 11\n },\n \"signal_count\": {\n \"wires\": 32,\n \"regs\": 0,\n \"parameters\": 7,\n \"total\": 32\n },\n \"always_blocks\": 3,\n \"assign_statements\": 95,\n \"instantiations\": [\n \"comp\",\n \"array\",\n \"write\",\n \"sirv_LevelGateway\",\n \"read\",\n \"generate\",\n \"2\",\n \"priority\",\n \"last_one\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 340,\n \"total_lines\": 523,\n \"cyclomatic_complexity\": 44,\n \"nesting_depth\": 35,\n \"operator_count\": 1965\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "plan_id": "e67ab2a45f15", "design_id": "f271953e7eec", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 3, "ctx_cap": 3300, "source": {"repository": "https://github.com/riscv-mcu/e203_hbirdv2", "commit": "9f3e34f337f5d0a1236a285871ffa2032491617a", "path": "rtl/e203/perips/sirv_plic_man.v", "sha256": "b7b8022f306eb7a93f20fda6d131feaa725aa04315bae87d3154572ab052c028"}} {"question": "I'm planning a low-power version of the gcd module. At medium optimization effort, the current mapped design has a power of 0.249 and 249 gates. How much power reduction does the power-targeted recommendation estimate, which techniques does it suggest, and what area cost should I expect?", "answer": "At medium effort, gcd maps to 249 gates with area 249.0, delay 261.72 and power 0.249. The power-targeted recommendation estimates a power change of -25.0 using clock gating (\"clockgate\") and operand isolation, at an estimated area change of 5.0 and delay change of 5.0, because power optimization may add area overhead.", "source_file": "github_repos/The-OpenROAD-Project_OpenROAD/test/gcd_sky130hd.v", "module_name": "gcd", "tool_name": "optimization_advisor+synthesis_tool", "tool_parameters": [{"target_metric": "power"}, {"optimization_level": "medium"}], "tool_result": "[optimization_advisor {\"target_metric\": \"power\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"power\",\n \"recommended_recipes\": [\n \"synth -top gcd\",\n \"opt; share; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean; clockgate\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"clock_gating\",\n \"description\": \"Insert clock gating for registers\",\n \"command\": \"clockgate\"\n },\n {\n \"type\": \"operand_isolation\",\n \"description\": \"Isolate operands when not in use\",\n \"command\": \"Use enable signals for arithmetic\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": 5.0,\n \"delay\": 5.0,\n \"power\": -25.0\n },\n \"trade_offs\": [\n \"Power optimization may add area overhead\",\n \"Clock gating adds timing complexity\"\n ],\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 249.0,\n \"delay\": 261.72,\n \"power\": 0.249,\n \"gate_count\": 249,\n \"cell_breakdown\": {\n \"sky130_fd_sc_hd__a21boi_0\": 1,\n \"sky130_fd_sc_hd__a21oi_1\": 9,\n \"sky130_fd_sc_hd__a221oi_1\": 3,\n \"sky130_fd_sc_hd__a221oi_2\": 1,\n \"sky130_fd_sc_hd__a22oi_1\": 28,\n \"sky130_fd_sc_hd__a2bb2oi_1\": 1,\n \"sky130_fd_sc_hd__a311oi_1\": 1,\n \"sky130_fd_sc_hd__a311oi_2\": 1,\n \"sky130_fd_sc_hd__a31o\n...[2595 chars elided]...\n \"error\": null\n}", "category": "multi_tool", "subcategory": "optimization_advisor+synthesis_tool", "difficulty": "compositional", "question_hash": "3ff014f9cb84", "stage1_target": "[{\"tool\": \"optimization_advisor\", \"parameters\": {\"target_metric\": \"power\"}}, {\"tool\": \"synthesis_tool\", \"parameters\": {\"optimization_level\": \"medium\"}}]", "stage2_context": "Question: I'm planning a low-power version of the gcd module. At medium optimization effort, the current mapped design has a power of 0.249 and 249 gates. How much power reduction does the power-targeted recommendation estimate, which techniques does it suggest, and what area cost should I expect?\n\n[optimization_advisor {\"target_metric\": \"power\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"power\",\n \"recommended_recipes\": [\n \"synth -top gcd\",\n \"opt; share; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean; clockgate\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"clock_gating\",\n \"description\": \"Insert clock gating for registers\",\n \"command\": \"clockgate\"\n },\n {\n \"type\": \"operand_isolation\",\n \"description\": \"Isolate operands when not in use\",\n \"command\": \"Use enable signals for arithmetic\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": 5.0,\n \"delay\": 5.0,\n \"power\": -25.0\n },\n \"trade_offs\": [\n \"Power optimization may add area overhead\",\n \"Clock gating adds timing complexity\"\n ],\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 249.0,\n \"delay\": 261.72,\n \"power\": 0.249,\n \"gate_count\": 249,\n \"cell_breakdown\": {\n \"sky130_fd_sc_hd__a21boi_0\": 1,\n \"sky130_fd_sc_hd__a21oi_1\": 9,\n \"sky130_fd_sc_hd__a221oi_1\": 3,\n \"sky130_fd_sc_hd__a221oi_2\": 1,\n \"sky130_fd_sc_hd__a22oi_1\": 28,\n \"sky130_fd_sc_hd__a2bb2oi_1\": 1,\n \"sky130_fd_sc_hd__a311oi_1\": 1,\n \"sky130_fd_sc_hd__a311oi_2\": 1,\n \"sky130_fd_sc_hd__a31o\n...[2595 chars elided]...\n \"error\": null\n}", "plan_id": "04f7d13d06ea", "design_id": "f1c07662ef46", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/The-OpenROAD-Project/OpenROAD", "commit": "3e3e483a4e3f98e2b5470b272040699de6dedbee", "path": "test/gcd_sky130hd.v", "sha256": "2d9509a0fd79565607e67b904cd2ae444fe7c033315d81e06ab11bebfe6e2efa"}} {"question": "For serv_bufreg2, how well do the RTL signals line up with the gate-level netlist, and how big is the design's AIG representation in terms of flip-flops and logic nodes? Which RTL names are missing from the netlist?", "answer": "serv_bufreg2 has an RTL-to-netlist alignment score of 82.61, with 19 of 23 RTL signals mapped; the 4 unmapped ones are wire, dhi, dlo and mode, which is consistent with them being intermediate or internal names that got absorbed during synthesis. Its AIG has 745 nodes and 1813 edges, made up of 295 AND gates, 400 NOT gates and 32 $_DFFE_PP_ enable flip-flops.", "source_file": "github_repos/olofk_serv/rtl/serv_bufreg2.v", "module_name": "serv_bufreg2", "tool_name": "cross_stage_mapper+graph_extractor", "tool_parameters": [{}, {"graph_type": "AIG"}], "tool_result": "[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"o_sh_done\": [\n \"o_sh_done\"\n ],\n \"i_op_b_sel\": [\n \"i_op_b_sel\"\n ],\n \"wire\": [],\n \"cnt_next\": [\n \"cnt_next\"\n ],\n \"dhi\": [],\n \"dlo\": [],\n \"i_init\": [\n \"i_init\"\n ],\n \"i_cnt_done\": [\n \"i_cnt_done\"\n ],\n \"i_clk\": [\n \"i_clk\"\n ],\n \"byte_valid\": [\n \"byte_valid\"\n ],\n \"dat_shamt\": [\n \"dat_shamt\"\n ],\n \"i_load\": [\n \"i_load\"\n ],\n \"i_lsb\": [\n \"i_lsb\"\n ],\n \"i_sh_right\": [\n \"i_sh_right\"\n ],\n \"i_en\": [\n \"i_en\"\n ],\n \"shift_en\": [\n \"shift_en\"\n ],\n \"i_shift_op\": [\n \"i_shift_op\"\n ],\n \"mode\": [],\n \"i_bytecnt\": [\n \"i_bytecnt\"\n ],\n \"i_dat\": [\n \"i_dat\"\n ],\n \"o_dat\": [\n \"o_dat\"\n ],\n \"cnt_en\": [\n \"cnt_en\"\n ],\n \"i_cnt7\": [\n \"i_cnt7\"\n ]\n },\n \"alignment_score\": 82.61,\n \"unmapped_elements\": [\n \"wire\",\n \"dhi\",\n \"dlo\",\n \"mode\"\n ],\n \"mapping_statistics\": {\n \"rtl_signals\": 23,\n \"netlist_wires\": 367,\n \"netlist_cells\": 0,\n \"mapped_signals\": 19,\n \"unmapped_signals\": 4\n },\n \"error\": null\n}\n\n[graph_extractor {\"graph_type\": \"AIG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"AIG\",\n...[33385 chars elided]...\n \"node_count\": 745,\n \"edge_count\": 1813,\n \"graph_properties\": {\n \"node_types\": {\n \"$_AND_\": 295,\n \"$_NOT_\": 400,\n \"$_DFFE_PP_\": 32,\n \"port_input\": 14,\n \"port_output\": 4\n },\n \"avg_degree\": 2.43,\n \"module_name\": \"serv_bufreg2\"\n },\n \"error\": null\n}", "category": "multi_tool", "subcategory": "cross_stage_mapper+graph_extractor", "difficulty": "compositional", "question_hash": "7c0c30ef2c57", "stage1_target": "[{\"tool\": \"cross_stage_mapper\", \"parameters\": {}}, {\"tool\": \"graph_extractor\", \"parameters\": {\"graph_type\": \"AIG\"}}]", "stage2_context": "Question: For serv_bufreg2, how well do the RTL signals line up with the gate-level netlist, and how big is the design's AIG representation in terms of flip-flops and logic nodes? Which RTL names are missing from the netlist?\n\n[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"o_sh_done\": [\n \"o_sh_done\"\n ],\n \"i_op_b_sel\": [\n \"i_op_b_sel\"\n ],\n \"wire\": [],\n \"cnt_next\": [\n \"cnt_next\"\n ],\n \"dhi\": [],\n \"dlo\": [],\n \"i_init\": [\n \"i_init\"\n ],\n \"i_cnt_done\": [\n \"i_cnt_done\"\n ],\n \"i_clk\": [\n \"i_clk\"\n ],\n \"byte_valid\": [\n \"byte_valid\"\n ],\n \"dat_shamt\": [\n \"dat_shamt\"\n ],\n \"i_load\": [\n \"i_load\"\n ],\n \"i_lsb\": [\n \"i_lsb\"\n ],\n \"i_sh_right\": [\n \"i_sh_right\"\n ],\n \"i_en\": [\n \"i_en\"\n ],\n \"shift_en\": [\n \"shift_en\"\n ],\n \"i_shift_op\": [\n \"i_shift_op\"\n ],\n \"mode\": [],\n \"i_bytecnt\": [\n \"i_bytecnt\"\n ],\n \"i_dat\": [\n \"i_dat\"\n ],\n \"o_dat\": [\n \"o_dat\"\n ],\n \"cnt_en\": [\n \"cnt_en\"\n ],\n \"i_cnt7\": [\n \"i_cnt7\"\n ]\n },\n \"alignment_score\": 82.61,\n \"unmapped_elements\": [\n \"wire\",\n \"dhi\",\n \"dlo\",\n \"mode\"\n ],\n \"mapping_statistics\": {\n \"rtl_signals\": 23,\n \"netlist_wires\": 367,\n \"netlist_cells\": 0,\n \"mapped_signals\": 19,\n \"unmapped_signals\": 4\n },\n \"error\": null\n}\n\n[graph_extractor {\"graph_type\": \"AIG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"AIG\",\n...[33385 chars elided]...\n \"node_count\": 745,\n \"edge_count\": 1813,\n \"graph_properties\": {\n \"node_types\": {\n \"$_AND_\": 295,\n \"$_NOT_\": 400,\n \"$_DFFE_PP_\": 32,\n \"port_input\": 14,\n \"port_output\": 4\n },\n \"avg_degree\": 2.43,\n \"module_name\": \"serv_bufreg2\"\n },\n \"error\": null\n}", "plan_id": "affbbb493ff8", "design_id": "f3a47e93d135", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/olofk/serv", "commit": "f200eb2ed7b69ac1c6b8eddd47654522aeee5ce8", "path": "rtl/serv_bufreg2.v", "sha256": "6586c95a64a064ff6f4d001996d33f15e0f6d452e01ebb4da6120db06ddd0a51"}} {"question": "In the DFG of nv_ram_rws_256x7, most nodes are AN2D4PO4 gates and NV_BLKBOX_SRC0_X black-box sources rather than real arithmetic. Since an area-targeted optimization recommends memory inference and aggressive resource sharing, how much area improvement can I realistically expect, and what is the cost?", "answer": "The DFG has 86 nodes and 251 edges. Of these, 33 are AN2D4PO4 cells and 33 are NV_BLKBOX_SRC0_X black-box sources, and there is only a single nv_ram_rws_256x7_logic node, so there is little arithmetic for 'share -aggressive' to merge. The area-targeted recommendation estimates a -15.0 area improvement with a 5.0 delay penalty, and it warns that aggressive sharing increases routing complexity, so the real gain on this mostly-wrapper design is probably smaller than that estimate.", "source_file": "github_repos/nvdla_hw/vmod/rams/synth/nv_ram_rws_256x7.v", "module_name": "nv_ram_rws_256x7", "tool_name": "graph_extractor+optimization_advisor", "tool_parameters": [{"graph_type": "DFG"}, {"target_metric": "area"}], "tool_result": "[graph_extractor {\"graph_type\": \"DFG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"DFG\",\n...[40535 chars elided]...\n \"node_count\": 86,\n \"edge_count\": 251,\n \"graph_properties\": {\n \"node_types\": {\n \"NV_BLKBOX_SRC0\": 3,\n \"AN2D4PO4\": 33,\n \"nv_ram_rws_256x7_logic\": 1,\n \"NV_BLKBOX_SRC0_X\": 33,\n \"NV_BLKBOX_SINK\": 8,\n \"port_input\": 7,\n \"port_output\": 1\n },\n \"avg_degree\": 2.92,\n \"module_name\": \"nv_ram_rws_256x7\"\n },\n \"error\": null\n}\n\n[optimization_advisor {\"target_metric\": \"area\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"area\",\n \"recommended_recipes\": [\n \"synth -top nv_ram_rws_256x7 -flatten\",\n \"opt -full; share -aggressive; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean -purge\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"memory_optimization\",\n \"description\": \"Consider using memory inference for large arrays\",\n \"command\": \"memory -nomap; memory_bram\"\n },\n {\n \"type\": \"mux_optimization\",\n \"description\": \"Share multiplexers where possible\",\n \"command\": \"muxcover; opt\"\n },\n {\n \"type\": \"resource_sharing\",\n \"description\": \"Share arithmetic operators\",\n \"command\": \"share -aggressive\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": -15.0,\n \"delay\": 5.0,\n \"power\": -10.0\n },\n \"trade_offs\": [\n \"Area optimization may increase delay\",\n \"Aggressive sharing increases routing complexity\"\n ],\n \"error\": null\n}", "category": "multi_tool", "subcategory": "graph_extractor+optimization_advisor", "difficulty": "compositional", "question_hash": "d2c0b0afba32", "stage1_target": "[{\"tool\": \"graph_extractor\", \"parameters\": {\"graph_type\": \"DFG\"}}, {\"tool\": \"optimization_advisor\", \"parameters\": {\"target_metric\": \"area\"}}]", "stage2_context": "Question: In the DFG of nv_ram_rws_256x7, most nodes are AN2D4PO4 gates and NV_BLKBOX_SRC0_X black-box sources rather than real arithmetic. Since an area-targeted optimization recommends memory inference and aggressive resource sharing, how much area improvement can I realistically expect, and what is the cost?\n\n[graph_extractor {\"graph_type\": \"DFG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"DFG\",\n...[40535 chars elided]...\n \"node_count\": 86,\n \"edge_count\": 251,\n \"graph_properties\": {\n \"node_types\": {\n \"NV_BLKBOX_SRC0\": 3,\n \"AN2D4PO4\": 33,\n \"nv_ram_rws_256x7_logic\": 1,\n \"NV_BLKBOX_SRC0_X\": 33,\n \"NV_BLKBOX_SINK\": 8,\n \"port_input\": 7,\n \"port_output\": 1\n },\n \"avg_degree\": 2.92,\n \"module_name\": \"nv_ram_rws_256x7\"\n },\n \"error\": null\n}\n\n[optimization_advisor {\"target_metric\": \"area\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"area\",\n \"recommended_recipes\": [\n \"synth -top nv_ram_rws_256x7 -flatten\",\n \"opt -full; share -aggressive; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean -purge\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"memory_optimization\",\n \"description\": \"Consider using memory inference for large arrays\",\n \"command\": \"memory -nomap; memory_bram\"\n },\n {\n \"type\": \"mux_optimization\",\n \"description\": \"Share multiplexers where possible\",\n \"command\": \"muxcover; opt\"\n },\n {\n \"type\": \"resource_sharing\",\n \"description\": \"Share arithmetic operators\",\n \"command\": \"share -aggressive\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": -15.0,\n \"delay\": 5.0,\n \"power\": -10.0\n },\n \"trade_offs\": [\n \"Area optimization may increase delay\",\n \"Aggressive sharing increases routing complexity\"\n ],\n \"error\": null\n}", "plan_id": "2d9444da43fd", "design_id": "f4388e54c7ea", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/nvdla/hw", "commit": "8e06b1b9d85aab65b40d43d08eec5ea4681ff715", "path": "vmod/rams/synth/nv_ram_rws_256x7.v", "sha256": "dbae6e38b2c2d0519253ccdfe0395067718b451dd2b96198d5618c5b0a1345e2"}} {"question": "For sirv_ResetCatchAndSync_2, which is a purely structural wrapper around a sub-module instance, is a delay-targeted optimization worth doing? Consider how much logic it contains, how well its RTL signals map onto the netlist, and how the expected delay gain compares with the area cost.", "answer": "Probably not. sirv_ResetCatchAndSync_2 has 0 always blocks and 9 assign statements and only instantiates sirv_AsyncResetRegVec_129, and all 13 RTL signals map with an alignment score of 100.0 and 0 netlist cells. So the estimated delay improvement of -20.0 from the delay recipe, which comes with a 10.0 area increase, has almost no logic in this wrapper to act on.", "source_file": "github_repos/riscv-mcu_e203_hbirdv2/rtl/e203/perips/sirv_ResetCatchAndSync_2.v", "module_name": "sirv_ResetCatchAndSync_2", "tool_name": "cross_stage_mapper+optimization_advisor+static_analyzer", "tool_parameters": [{}, {"target_metric": "delay"}, {"analysis_type": "full"}], "tool_result": "[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"reset_n_catch_reg_io_d\": [\n \"reset_n_catch_reg_io_d\"\n ],\n \"reset_n_catch_reg_reset\": [\n \"reset_n_catch_reg_reset\"\n ],\n \"T_7\": [\n \"T_7\"\n ],\n \"io_sync_reset\": [\n \"io_sync_reset\"\n ],\n \"\n...[241 chars elided]...\nt_n_catch_reg_io_q\": [\n \"reset_n_catch_reg_io_q\"\n ],\n \"reset_n_catch_reg_io_en\": [\n \"reset_n_catch_reg_io_en\"\n ],\n \"test_mode\": [\n \"test_mode\"\n ],\n \"reset\": [\n \"reset_n_catch_reg_reset\",\n \"reset_n_catch_reg_clock\",\n \"reset_n_catch_reg_io_q\",\n \"reset_n_catch_reg_io_d\",\n \"reset\"\n ]\n },\n \"alignment_score\": 100.0,\n \"unmapped_elements\": [],\n \"mapping_statistics\": {\n \"rtl_signals\": 13,\n \"netlist_wires\": 19,\n \"netlist_cells\": 0,\n \"mapped_signals\": 13,\n \"unmapped_signals\": 0\n },\n \"error\": null\n}\n\n[optimization_advisor {\"target_metric\": \"delay\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"delay\",\n \"recommended_recipes\": [\n \"synth -top sirv_ResetCatchAndSync_2\",\n \"opt -fast\",\n \"abc -fast -liberty stdcells.lib\",\n \"opt_clean\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"pipeline_insertion\",\n \"description\": \"Consider pipelining arithmetic operations\",\n \"command\": \"Use register retiming\"\n },\n {\n \"type\": \"logic_duplication\",\n \"description\": \"Duplicate logic to reduce fanout\",\n \"command\": \"splitnets -driver\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": 10.0,\n \"delay\": -20.0,\n \"power\": 5.0\n },\n \"trade_offs\": [\n \"Speed optimization increases area\",\n \"Higher power consumption\"\n ],\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"sirv_ResetCatchAndSync_2\",\n \"port_count\": {\n \"inputs\": 3,\n \"outputs\": 1,\n \"inouts\": 0,\n \"total\": 4\n },\n \"signal_count\": {\n \"wires\": 9,\n \"regs\": 0,\n \"parameters\": 0,\n \"total\": 9\n },\n \"always_blocks\": 0,\n \"assign_statements\": 9,\n \"instantiations\": [\n \"sirv_AsyncResetRegVec_129\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 44,\n \"total_lines\": 52,\n \"cyclomatic_complexity\": 2,\n \"nesting_depth\": 0,\n \"operator_count\": 20\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "category": "multi_tool", "subcategory": "cross_stage_mapper+optimization_advisor+static_analyzer", "difficulty": "compositional", "question_hash": "509396aaeac2", "stage1_target": "[{\"tool\": \"cross_stage_mapper\", \"parameters\": {}}, {\"tool\": \"optimization_advisor\", \"parameters\": {\"target_metric\": \"delay\"}}, {\"tool\": \"static_analyzer\", \"parameters\": {\"analysis_type\": \"full\"}}]", "stage2_context": "Question: For sirv_ResetCatchAndSync_2, which is a purely structural wrapper around a sub-module instance, is a delay-targeted optimization worth doing? Consider how much logic it contains, how well its RTL signals map onto the netlist, and how the expected delay gain compares with the area cost.\n\n[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"reset_n_catch_reg_io_d\": [\n \"reset_n_catch_reg_io_d\"\n ],\n \"reset_n_catch_reg_reset\": [\n \"reset_n_catch_reg_reset\"\n ],\n \"T_7\": [\n \"T_7\"\n ],\n \"io_sync_reset\": [\n \"io_sync_reset\"\n ],\n \"\n...[241 chars elided]...\nt_n_catch_reg_io_q\": [\n \"reset_n_catch_reg_io_q\"\n ],\n \"reset_n_catch_reg_io_en\": [\n \"reset_n_catch_reg_io_en\"\n ],\n \"test_mode\": [\n \"test_mode\"\n ],\n \"reset\": [\n \"reset_n_catch_reg_reset\",\n \"reset_n_catch_reg_clock\",\n \"reset_n_catch_reg_io_q\",\n \"reset_n_catch_reg_io_d\",\n \"reset\"\n ]\n },\n \"alignment_score\": 100.0,\n \"unmapped_elements\": [],\n \"mapping_statistics\": {\n \"rtl_signals\": 13,\n \"netlist_wires\": 19,\n \"netlist_cells\": 0,\n \"mapped_signals\": 13,\n \"unmapped_signals\": 0\n },\n \"error\": null\n}\n\n[optimization_advisor {\"target_metric\": \"delay\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"delay\",\n \"recommended_recipes\": [\n \"synth -top sirv_ResetCatchAndSync_2\",\n \"opt -fast\",\n \"abc -fast -liberty stdcells.lib\",\n \"opt_clean\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"pipeline_insertion\",\n \"description\": \"Consider pipelining arithmetic operations\",\n \"command\": \"Use register retiming\"\n },\n {\n \"type\": \"logic_duplication\",\n \"description\": \"Duplicate logic to reduce fanout\",\n \"command\": \"splitnets -driver\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": 10.0,\n \"delay\": -20.0,\n \"power\": 5.0\n },\n \"trade_offs\": [\n \"Speed optimization increases area\",\n \"Higher power consumption\"\n ],\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"sirv_ResetCatchAndSync_2\",\n \"port_count\": {\n \"inputs\": 3,\n \"outputs\": 1,\n \"inouts\": 0,\n \"total\": 4\n },\n \"signal_count\": {\n \"wires\": 9,\n \"regs\": 0,\n \"parameters\": 0,\n \"total\": 9\n },\n \"always_blocks\": 0,\n \"assign_statements\": 9,\n \"instantiations\": [\n \"sirv_AsyncResetRegVec_129\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 44,\n \"total_lines\": 52,\n \"cyclomatic_complexity\": 2,\n \"nesting_depth\": 0,\n \"operator_count\": 20\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "plan_id": "540be3441960", "design_id": "f5625c50d049", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 3, "ctx_cap": 3300, "source": {"repository": "https://github.com/riscv-mcu/e203_hbirdv2", "commit": "9f3e34f337f5d0a1236a285871ffa2032491617a", "path": "rtl/e203/perips/sirv_ResetCatchAndSync_2.v", "sha256": "1276066c3cb7b5b758c151682c049e6fe4629ef807d69331ca841003f9d669d7"}} {"question": "For PGAOPV_DFCNQD2PO4, which has a single always block driving one register, is it worth applying the area-oriented flow with aggressive operator sharing, given the module's structure and the trade-offs that flow brings?", "answer": "PGAOPV_DFCNQD2PO4 is a small sequential cell: 3 inputs, 1 output, 1 reg, 1 always block, no instantiations and a cyclomatic complexity of 4. The area-targeted flow estimates a -15.0 area change, but it also lists a 5.0 delay penalty, and its 'share -aggressive' step is meant for arithmetic operators, which a single-register flop like this is unlikely to have much of. So the area gain is probably small and may not be worth the extra delay and routing complexity.", "source_file": "github_repos/nvdla_hw/vmod/vlibs/PGAOPV_DFCNQD2PO4.v", "module_name": "PGAOPV_DFCNQD2PO4", "tool_name": "optimization_advisor+static_analyzer", "tool_parameters": [{"target_metric": "area"}, {"analysis_type": "full"}], "tool_result": "[optimization_advisor {\"target_metric\": \"area\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"area\",\n \"recommended_recipes\": [\n \"synth -top PGAOPV_DFCNQD2PO4 -flatten\",\n \"opt -full; share -aggressive; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean -purge\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"resource_sharing\",\n \"description\": \"Share arithmetic operators\",\n \"command\": \"share -aggressive\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": -15.0,\n \"delay\": 5.0,\n \"power\": -10.0\n },\n \"trade_offs\": [\n \"Area optimization may increase delay\",\n \"Aggressive sharing increases routing complexity\"\n ],\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"PGAOPV_DFCNQD2PO4\",\n \"port_count\": {\n \"inputs\": 3,\n \"outputs\": 1,\n \"inouts\": 0,\n \"total\": 4\n },\n \"signal_count\": {\n \"wires\": 0,\n \"regs\": 1,\n \"parameters\": 0,\n \"total\": 1\n },\n \"always_blocks\": 1,\n \"assign_statements\": 0,\n \"instantiations\": [],\n \"code_complexity\": {\n \"lines_of_code\": 19,\n \"total_lines\": 37,\n \"cyclomatic_complexity\": 4,\n \"nesting_depth\": 1,\n \"operator_count\": 193\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "category": "multi_tool", "subcategory": "optimization_advisor+static_analyzer", "difficulty": "compositional", "question_hash": "51d2b58bf165", "stage1_target": "[{\"tool\": \"optimization_advisor\", \"parameters\": {\"target_metric\": \"area\"}}, {\"tool\": \"static_analyzer\", \"parameters\": {\"analysis_type\": \"full\"}}]", "stage2_context": "Question: For PGAOPV_DFCNQD2PO4, which has a single always block driving one register, is it worth applying the area-oriented flow with aggressive operator sharing, given the module's structure and the trade-offs that flow brings?\n\n[optimization_advisor {\"target_metric\": \"area\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"area\",\n \"recommended_recipes\": [\n \"synth -top PGAOPV_DFCNQD2PO4 -flatten\",\n \"opt -full; share -aggressive; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean -purge\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"resource_sharing\",\n \"description\": \"Share arithmetic operators\",\n \"command\": \"share -aggressive\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": -15.0,\n \"delay\": 5.0,\n \"power\": -10.0\n },\n \"trade_offs\": [\n \"Area optimization may increase delay\",\n \"Aggressive sharing increases routing complexity\"\n ],\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"PGAOPV_DFCNQD2PO4\",\n \"port_count\": {\n \"inputs\": 3,\n \"outputs\": 1,\n \"inouts\": 0,\n \"total\": 4\n },\n \"signal_count\": {\n \"wires\": 0,\n \"regs\": 1,\n \"parameters\": 0,\n \"total\": 1\n },\n \"always_blocks\": 1,\n \"assign_statements\": 0,\n \"instantiations\": [],\n \"code_complexity\": {\n \"lines_of_code\": 19,\n \"total_lines\": 37,\n \"cyclomatic_complexity\": 4,\n \"nesting_depth\": 1,\n \"operator_count\": 193\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "plan_id": "b855d68d95f2", "design_id": "f585e5d99b60", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/nvdla/hw", "commit": "8e06b1b9d85aab65b40d43d08eec5ea4681ff715", "path": "vmod/vlibs/PGAOPV_DFCNQD2PO4.v", "sha256": "1c2490e2e45b8d32bc1d4b829540adb3466fda049c0ff2095521c3410b729357"}} {"question": "For dport_axi, I'm planning to run an area-targeted optimization that flattens the design and shares resources aggressively. Before I do, how well do the RTL signals currently line up with the synthesized netlist, and which registers already fail to map? What area improvement and side effects should I expect from that flow?", "answer": "35 of the 38 RTL signals in dport_axi map to the netlist, for an alignment score of 92.11. The three that don't map are the state registers awvalid_inhibit_q, wvalid_inhibit_q and request_pending_q. The area-targeted recipe (flattening plus 'share -aggressive') is estimated to give -15.0 area and -10.0 power but +5.0 delay, and aggressive sharing adds routing complexity, so traceability for those unmapped registers will probably not improve.", "source_file": "github_repos/ultraembedded_riscv/top_tcm_axi/src_v/dport_axi.v", "module_name": "dport_axi", "tool_name": "cross_stage_mapper+optimization_advisor", "tool_parameters": [{}, {"target_metric": "area"}], "tool_result": "[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"axi_rvalid_i\": [\n \"axi_rvalid_i\"\n ],\n \"req_accept_w\": [\n \"req_accept_w\"\n ],\n \"pop_i\": [\n \"pop_i\"\n ],\n \"axi_arvalid_o\": [\n \"axi_arvalid_o\"\n ],\n \"req_pop_w\": [\n \"req_pop_w\"\n ],\n \"push_i\": [\n \"push_i\"\n ],\n \"axi_arready_i\": [\n \"axi_arready_i\"\n ],\n \"req_push_w\": [\n \"req_push_w\"\n ],\n \"axi_awva\n...[940 chars elided]...\n\",\n \"axi_awvalid_o\",\n \"axi_wvalid_o\"\n ],\n \"mem_cacheable_i\": [\n \"mem_cacheable_i\"\n ],\n \"mem_flush_i\": [\n \"mem_flush_i\"\n ],\n \"axi_rready_o\": [\n \"axi_rready_o\"\n ],\n \"write_complete_w\": [\n \"write_complete_w\"\n ],\n \"axi_wvalid_o\": [\n \"axi_wvalid_o\"\n ],\n \"read_complete_w\": [\n \"read_complete_w\"\n ],\n \"res_accept_w\": [\n \"res_accept_w\"\n ],\n \"mem_invalidate_i\": [\n \"mem_invalidate_i\"\n ],\n \"mem_writeback_i\": [\n \"mem_writeback_i\"\n ],\n \"request_pending_q\": []\n },\n \"alignment_score\": 92.11,\n \"unmapped_elements\": [\n \"awvalid_inhibit_q\",\n \"wvalid_inhibit_q\",\n \"request_pending_q\"\n ],\n \"mapping_statistics\": {\n \"rtl_signals\": 38,\n \"netlist_wires\": 2284,\n \"netlist_cells\": 0,\n \"mapped_signals\": 35,\n \"unmapped_signals\": 3\n },\n \"error\": null\n}\n\n[optimization_advisor {\"target_metric\": \"area\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"area\",\n \"recommended_recipes\": [\n \"synth -top dport_axi -flatten\",\n \"opt -full; share -aggressive; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean -purge\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"mux_optimization\",\n \"description\": \"Share multiplexers where possible\",\n \"command\": \"muxcover; opt\"\n },\n {\n \"type\": \"resource_sharing\",\n \"description\": \"Share arithmetic operators\",\n \"command\": \"share -aggressive\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": -15.0,\n \"delay\": 5.0,\n \"power\": -10.0\n },\n \"trade_offs\": [\n \"Area optimization may increase delay\",\n \"Aggressive sharing increases routing complexity\"\n ],\n \"error\": null\n}", "category": "multi_tool", "subcategory": "cross_stage_mapper+optimization_advisor", "difficulty": "compositional", "question_hash": "a3655ab5d477", "stage1_target": "[{\"tool\": \"cross_stage_mapper\", \"parameters\": {}}, {\"tool\": \"optimization_advisor\", \"parameters\": {\"target_metric\": \"area\"}}]", "stage2_context": "Question: For dport_axi, I'm planning to run an area-targeted optimization that flattens the design and shares resources aggressively. Before I do, how well do the RTL signals currently line up with the synthesized netlist, and which registers already fail to map? What area improvement and side effects should I expect from that flow?\n\n[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"axi_rvalid_i\": [\n \"axi_rvalid_i\"\n ],\n \"req_accept_w\": [\n \"req_accept_w\"\n ],\n \"pop_i\": [\n \"pop_i\"\n ],\n \"axi_arvalid_o\": [\n \"axi_arvalid_o\"\n ],\n \"req_pop_w\": [\n \"req_pop_w\"\n ],\n \"push_i\": [\n \"push_i\"\n ],\n \"axi_arready_i\": [\n \"axi_arready_i\"\n ],\n \"req_push_w\": [\n \"req_push_w\"\n ],\n \"axi_awva\n...[940 chars elided]...\n\",\n \"axi_awvalid_o\",\n \"axi_wvalid_o\"\n ],\n \"mem_cacheable_i\": [\n \"mem_cacheable_i\"\n ],\n \"mem_flush_i\": [\n \"mem_flush_i\"\n ],\n \"axi_rready_o\": [\n \"axi_rready_o\"\n ],\n \"write_complete_w\": [\n \"write_complete_w\"\n ],\n \"axi_wvalid_o\": [\n \"axi_wvalid_o\"\n ],\n \"read_complete_w\": [\n \"read_complete_w\"\n ],\n \"res_accept_w\": [\n \"res_accept_w\"\n ],\n \"mem_invalidate_i\": [\n \"mem_invalidate_i\"\n ],\n \"mem_writeback_i\": [\n \"mem_writeback_i\"\n ],\n \"request_pending_q\": []\n },\n \"alignment_score\": 92.11,\n \"unmapped_elements\": [\n \"awvalid_inhibit_q\",\n \"wvalid_inhibit_q\",\n \"request_pending_q\"\n ],\n \"mapping_statistics\": {\n \"rtl_signals\": 38,\n \"netlist_wires\": 2284,\n \"netlist_cells\": 0,\n \"mapped_signals\": 35,\n \"unmapped_signals\": 3\n },\n \"error\": null\n}\n\n[optimization_advisor {\"target_metric\": \"area\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"area\",\n \"recommended_recipes\": [\n \"synth -top dport_axi -flatten\",\n \"opt -full; share -aggressive; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean -purge\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"mux_optimization\",\n \"description\": \"Share multiplexers where possible\",\n \"command\": \"muxcover; opt\"\n },\n {\n \"type\": \"resource_sharing\",\n \"description\": \"Share arithmetic operators\",\n \"command\": \"share -aggressive\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": -15.0,\n \"delay\": 5.0,\n \"power\": -10.0\n },\n \"trade_offs\": [\n \"Area optimization may increase delay\",\n \"Aggressive sharing increases routing complexity\"\n ],\n \"error\": null\n}", "plan_id": "1c3b9f57d4ac", "design_id": "f70c4cdc3612", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/ultraembedded/riscv", "commit": "7ae6f803e30f78c6ea3121e73c3adf50ff912730", "path": "top_tcm_axi/src_v/dport_axi.v", "sha256": "491b38cf4f7ed58b0f7ae8ec3a483b64dba9aebab1b35566073fdaae0f2c6961"}} {"question": "For NV_NVDLA_SDP_CORE_gate, how does the AIG graph's logic make-up compare with the medium-effort synthesized netlist? Look at what happens to the clock-gating cells and the inverter and AND logic, and give the resulting area and delay.", "answer": "The AIG graph of NV_NVDLA_SDP_CORE_gate has 42 nodes, made up of 7 $_AND_ nodes, 21 $_NOT_ nodes and 3 NV_CLK_gate_power cells. After medium-effort synthesis, the AND/NOT logic collapses to just 5 $_OR_ cells, and the same 3 NV_CLK_gate_power cells are kept, giving 8 cells in total. The synthesized design has an area of 8.0 and a delay of 93.3.", "source_file": "github_repos/nvdla_hw/vmod/nvdla/sdp/NV_NVDLA_SDP_CORE_gate.v", "module_name": "NV_NVDLA_SDP_CORE_gate", "tool_name": "graph_extractor+synthesis_tool", "tool_parameters": [{"graph_type": "AIG"}, {"optimization_level": "medium"}], "tool_result": "[graph_extractor {\"graph_type\": \"AIG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"AIG\",\n...[12416 chars elided]...\n \"node_count\": 42,\n \"edge_count\": 75,\n \"graph_properties\": {\n \"node_types\": {\n \"$_AND_\": 7,\n \"$_NOT_\": 21,\n \"NV_CLK_gate_power\": 3,\n \"port_input\": 8,\n \"port_output\": 3\n },\n \"avg_degree\": 1.79,\n \"module_name\": \"NV_NVDLA_SDP_CORE_gate\"\n },\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 8.0,\n \"delay\": 93.3,\n \"power\": 0.008,\n \"gate_count\": 8,\n \"cell_breakdown\": {\n \"$_OR_\": 5,\n \"NV_CLK_gate_power\": 3\n },\n \"wire_count\": 16,\n \"wire_bits\": 16,\n \"critical_path_estimate\": 93.3,\n...[1103 chars elided]...\n \"error\": null\n}", "category": "multi_tool", "subcategory": "graph_extractor+synthesis_tool", "difficulty": "compositional", "question_hash": "e7cc08871c85", "stage1_target": "[{\"tool\": \"graph_extractor\", \"parameters\": {\"graph_type\": \"AIG\"}}, {\"tool\": \"synthesis_tool\", \"parameters\": {\"optimization_level\": \"medium\"}}]", "stage2_context": "Question: For NV_NVDLA_SDP_CORE_gate, how does the AIG graph's logic make-up compare with the medium-effort synthesized netlist? Look at what happens to the clock-gating cells and the inverter and AND logic, and give the resulting area and delay.\n\n[graph_extractor {\"graph_type\": \"AIG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"AIG\",\n...[12416 chars elided]...\n \"node_count\": 42,\n \"edge_count\": 75,\n \"graph_properties\": {\n \"node_types\": {\n \"$_AND_\": 7,\n \"$_NOT_\": 21,\n \"NV_CLK_gate_power\": 3,\n \"port_input\": 8,\n \"port_output\": 3\n },\n \"avg_degree\": 1.79,\n \"module_name\": \"NV_NVDLA_SDP_CORE_gate\"\n },\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 8.0,\n \"delay\": 93.3,\n \"power\": 0.008,\n \"gate_count\": 8,\n \"cell_breakdown\": {\n \"$_OR_\": 5,\n \"NV_CLK_gate_power\": 3\n },\n \"wire_count\": 16,\n \"wire_bits\": 16,\n \"critical_path_estimate\": 93.3,\n...[1103 chars elided]...\n \"error\": null\n}", "plan_id": "78041b04ffe5", "design_id": "fdac2b29f51f", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/nvdla/hw", "commit": "8e06b1b9d85aab65b40d43d08eec5ea4681ff715", "path": "vmod/nvdla/sdp/NV_NVDLA_SDP_CORE_gate.v", "sha256": "8cdc339649b17b9d3335b2eb5ea4833cbb2c3d9c31384818b01f1355c0d37a1c"}} {"question": "For FP17_TO_FP16_mgc_in_wire_wait_v1, the power optimization plan recommends clock gating. Is that a sensible choice given how many registers and always blocks the module has, and what power saving and area cost should I expect?", "answer": "FP17_TO_FP16_mgc_in_wire_wait_v1 has 44 regs spread over 21 always blocks, so there are plenty of registers for the recommended clockgate step to gate. The power-targeted plan estimates a power change of -25.0 at an area cost of +5.0. The trade-off is that clock gating adds timing complexity, and this design has a cyclomatic complexity of 84.", "source_file": "github_repos/nvdla_hw/vmod/vlibs/HLS_fp17_to_fp16.v", "module_name": "FP17_TO_FP16_mgc_in_wire_wait_v1", "tool_name": "optimization_advisor+static_analyzer", "tool_parameters": [{"target_metric": "power"}, {"analysis_type": "full"}], "tool_result": "[optimization_advisor {\"target_metric\": \"power\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"power\",\n \"recommended_recipes\": [\n \"synth -top FP17_TO_FP16_mgc_in_wire_wait_v1\",\n \"opt; share; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean; clockgate\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"clock_gating\",\n \"description\": \"Insert clock gating for registers\",\n \"command\": \"clockgate\"\n },\n {\n \"type\": \"operand_isolation\",\n \"description\": \"Isolate operands when not in use\",\n \"command\": \"Use enable signals for arithmetic\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": 5.0,\n \"delay\": 5.0,\n \"power\": -25.0\n },\n \"trade_offs\": [\n \"Power optimization may add area overhead\",\n \"Clock gating adds timing complexity\"\n ],\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"FP17_TO_FP16_mgc_in_wire_wait_v1\",\n \"port_count\": {\n \"inputs\": 98,\n \"outputs\": 36,\n \"inouts\": 0,\n \"total\": 134\n },\n \"signal_count\": {\n \"wires\": 68,\n \"regs\": 44,\n \"parameters\": 29,\n \"total\": 112\n },\n \"always_blocks\": 21,\n \"assign_statements\": 98,\n \"instantiations\": [\n \"results\",\n \"HLS_fp17_to_fp16_core_chn_a_rsci\",\n \"HLS_fp17_to_fp16_core_core_fsm_1\",\n \"HLS_fp17_to_fp16_core_chn_a_rsci_chn_a_wait_ctrl\",\n \"HLS_fp17_to_fp16_core_staller\",\n \"HLS_fp17_to_fp16_core_chn_o_rsci_chn_o_wait_dp\",\n \"FP17_TO_FP16_chn_a_rsci_unreg\",\n \"generate\",\n \"HLS_fp17_to_fp16_core_core_fsm\",\n \"HLS_fp17_to_fp16_core\",\n \"HLS_fp17_to_fp16_core_chn_o_rsci_chn_o_wait_ctrl\",\n \"FP17_TO_FP16_chn_o_rsci_unreg\",\n \"HLS_fp17_to_fp16_core_chn_o_rsci\",\n \"HLS_fp17_to_fp16_core_chn_a_rsci_chn_a_wait_dp\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 1091,\n \"total_lines\": 1351,\n \"cyclomatic_complexity\": 84,\n \"nesting_depth\": 96,\n \"operator_count\": 2936\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "category": "multi_tool", "subcategory": "optimization_advisor+static_analyzer", "difficulty": "compositional", "question_hash": "b8f7b2623dd5", "stage1_target": "[{\"tool\": \"optimization_advisor\", \"parameters\": {\"target_metric\": \"power\"}}, {\"tool\": \"static_analyzer\", \"parameters\": {\"analysis_type\": \"full\"}}]", "stage2_context": "Question: For FP17_TO_FP16_mgc_in_wire_wait_v1, the power optimization plan recommends clock gating. Is that a sensible choice given how many registers and always blocks the module has, and what power saving and area cost should I expect?\n\n[optimization_advisor {\"target_metric\": \"power\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"power\",\n \"recommended_recipes\": [\n \"synth -top FP17_TO_FP16_mgc_in_wire_wait_v1\",\n \"opt; share; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean; clockgate\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"clock_gating\",\n \"description\": \"Insert clock gating for registers\",\n \"command\": \"clockgate\"\n },\n {\n \"type\": \"operand_isolation\",\n \"description\": \"Isolate operands when not in use\",\n \"command\": \"Use enable signals for arithmetic\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": 5.0,\n \"delay\": 5.0,\n \"power\": -25.0\n },\n \"trade_offs\": [\n \"Power optimization may add area overhead\",\n \"Clock gating adds timing complexity\"\n ],\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"FP17_TO_FP16_mgc_in_wire_wait_v1\",\n \"port_count\": {\n \"inputs\": 98,\n \"outputs\": 36,\n \"inouts\": 0,\n \"total\": 134\n },\n \"signal_count\": {\n \"wires\": 68,\n \"regs\": 44,\n \"parameters\": 29,\n \"total\": 112\n },\n \"always_blocks\": 21,\n \"assign_statements\": 98,\n \"instantiations\": [\n \"results\",\n \"HLS_fp17_to_fp16_core_chn_a_rsci\",\n \"HLS_fp17_to_fp16_core_core_fsm_1\",\n \"HLS_fp17_to_fp16_core_chn_a_rsci_chn_a_wait_ctrl\",\n \"HLS_fp17_to_fp16_core_staller\",\n \"HLS_fp17_to_fp16_core_chn_o_rsci_chn_o_wait_dp\",\n \"FP17_TO_FP16_chn_a_rsci_unreg\",\n \"generate\",\n \"HLS_fp17_to_fp16_core_core_fsm\",\n \"HLS_fp17_to_fp16_core\",\n \"HLS_fp17_to_fp16_core_chn_o_rsci_chn_o_wait_ctrl\",\n \"FP17_TO_FP16_chn_o_rsci_unreg\",\n \"HLS_fp17_to_fp16_core_chn_o_rsci\",\n \"HLS_fp17_to_fp16_core_chn_a_rsci_chn_a_wait_dp\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 1091,\n \"total_lines\": 1351,\n \"cyclomatic_complexity\": 84,\n \"nesting_depth\": 96,\n \"operator_count\": 2936\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "plan_id": "04425c7c7d01", "design_id": "053f5d437a56", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/nvdla/hw", "commit": "8e06b1b9d85aab65b40d43d08eec5ea4681ff715", "path": "vmod/vlibs/HLS_fp17_to_fp16.v", "sha256": "938b2df37315aa2f00f7aad58119d0a7ab3e35b748155190356a2e1b6af1fcac"}} {"question": "For serv_rf_ram_if, how well do the RTL signals carry over into the synthesized netlist, and could the module's control complexity and lint findings help explain why some internal registers like rgnt and rreq_r can't be found after synthesis?", "answer": "In serv_rf_ram_if, only 12 of the 20 RTL signals map to the netlist (alignment score 60.0), and internal registers such as rreq_r, rgnt, wen0_r and wtrig0_r are among the 8 unmapped signals, which likely means they were optimized away or renamed. The module has a cyclomatic complexity of 21, a nesting depth of 16 across 5 always blocks, and a lint warning about a \"Potential blocking assignment in sequential block\". That warning is worth reviewing, since it could change how those sequential registers get inferred.", "source_file": "github_repos/olofk_serv/rtl/serv_rf_ram_if.v", "module_name": "serv_rf_ram_if", "tool_name": "cross_stage_mapper+static_analyzer", "tool_parameters": [{}, {"analysis_type": "full"}], "tool_result": "[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"wire\": [],\n \"o_ready\": [\n \"o_ready\"\n ],\n \"wtrig1\": [\n \"wtrig1\"\n ],\n \"rtrig0\": [\n \"rtrig0\"\n ],\n \"i_rst\": [\n \"i_rst\"\n ],\n \"rreq_r\": [],\n \"i_clk\": [\n \"i_clk\"\n ],\n \"wtrig0\": [\n \"wtrig0\"\n ],\n \"wen0_r\": [],\n \"o_wen\": [\n \"o_wen\"\n ],\n \"rgate\": [],\n \"wtrig0_r\": [],\n \"i_wreq\": [\n \"i_wreq\"\n ],\n \"i_wen0\": [\n \"i_wen0\"\n ],\n \"i_wen1\": [\n \"i_wen1\"\n ],\n \"o_ren\": [\n \"o_ren\"\n ],\n \"i_rreq\": [\n \"i_rreq\"\n ],\n \"rtrig1\": [],\n \"rgnt\": [],\n \"wen1_r\": []\n },\n \"alignment_score\": 60.0,\n \"unmapped_elements\": [\n \"wire\",\n \"rreq_r\",\n \"wen0_r\",\n \"rgate\",\n \"wtrig0_r\",\n \"rtrig1\",\n \"rgnt\",\n \"wen1_r\"\n ],\n \"mapping_statistics\": {\n \"rtl_signals\": 20,\n \"netlist_wires\": 506,\n \"netlist_cells\": 0,\n \"mapped_signals\": 12,\n \"unmapped_signals\": 8\n },\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"serv_rf_ram_if\",\n \"port_count\": {\n \"inputs\": 13,\n \"outputs\": 8,\n \"inouts\": 0,\n \"total\": 21\n },\n \"signal_count\": {\n \"wires\": 12,\n \"regs\": 7,\n \"parameters\": 11,\n \"total\": 19\n },\n \"always_blocks\": 5,\n \"assign_statements\": 16,\n \"instantiations\": [\n \"generate\",\n \"Address\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 141,\n \"total_lines\": 187,\n \"cyclomatic_complexity\": 21,\n \"nesting_depth\": 16,\n \"operator_count\": 222\n },\n \"lint_warnings\": [\n \"Potential blocking assignment in sequential block\"\n ],\n \"error\": null\n}", "category": "multi_tool", "subcategory": "cross_stage_mapper+static_analyzer", "difficulty": "compositional", "question_hash": "3c0ee1eff91c", "stage1_target": "[{\"tool\": \"cross_stage_mapper\", \"parameters\": {}}, {\"tool\": \"static_analyzer\", \"parameters\": {\"analysis_type\": \"full\"}}]", "stage2_context": "Question: For serv_rf_ram_if, how well do the RTL signals carry over into the synthesized netlist, and could the module's control complexity and lint findings help explain why some internal registers like rgnt and rreq_r can't be found after synthesis?\n\n[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"wire\": [],\n \"o_ready\": [\n \"o_ready\"\n ],\n \"wtrig1\": [\n \"wtrig1\"\n ],\n \"rtrig0\": [\n \"rtrig0\"\n ],\n \"i_rst\": [\n \"i_rst\"\n ],\n \"rreq_r\": [],\n \"i_clk\": [\n \"i_clk\"\n ],\n \"wtrig0\": [\n \"wtrig0\"\n ],\n \"wen0_r\": [],\n \"o_wen\": [\n \"o_wen\"\n ],\n \"rgate\": [],\n \"wtrig0_r\": [],\n \"i_wreq\": [\n \"i_wreq\"\n ],\n \"i_wen0\": [\n \"i_wen0\"\n ],\n \"i_wen1\": [\n \"i_wen1\"\n ],\n \"o_ren\": [\n \"o_ren\"\n ],\n \"i_rreq\": [\n \"i_rreq\"\n ],\n \"rtrig1\": [],\n \"rgnt\": [],\n \"wen1_r\": []\n },\n \"alignment_score\": 60.0,\n \"unmapped_elements\": [\n \"wire\",\n \"rreq_r\",\n \"wen0_r\",\n \"rgate\",\n \"wtrig0_r\",\n \"rtrig1\",\n \"rgnt\",\n \"wen1_r\"\n ],\n \"mapping_statistics\": {\n \"rtl_signals\": 20,\n \"netlist_wires\": 506,\n \"netlist_cells\": 0,\n \"mapped_signals\": 12,\n \"unmapped_signals\": 8\n },\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"serv_rf_ram_if\",\n \"port_count\": {\n \"inputs\": 13,\n \"outputs\": 8,\n \"inouts\": 0,\n \"total\": 21\n },\n \"signal_count\": {\n \"wires\": 12,\n \"regs\": 7,\n \"parameters\": 11,\n \"total\": 19\n },\n \"always_blocks\": 5,\n \"assign_statements\": 16,\n \"instantiations\": [\n \"generate\",\n \"Address\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 141,\n \"total_lines\": 187,\n \"cyclomatic_complexity\": 21,\n \"nesting_depth\": 16,\n \"operator_count\": 222\n },\n \"lint_warnings\": [\n \"Potential blocking assignment in sequential block\"\n ],\n \"error\": null\n}", "plan_id": "dbf69510c78e", "design_id": "06778b88a759", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/olofk/serv", "commit": "f200eb2ed7b69ac1c6b8eddd47654522aeee5ce8", "path": "rtl/serv_rf_ram_if.v", "sha256": "abb39b6bdf4d335bd2f90f75ddb1a410500a1a51a3e9f170453cb491d98d8697"}} {"question": "For serv_bufreg, how does the number of flip-flops in the AIG compare with the flip-flops left after medium-effort synthesis, and how much does the combinational logic shrink between the AIG's AND/NOT nodes and the synthesized gate count?", "answer": "In serv_bufreg the AIG has 32 $_DFFE_PP_ nodes and 1 $_DFF_P_ node, and medium-effort synthesis keeps the same 32 $_DFFE_PP_ and 1 $_DFF_P_ cells, so the sequential state is unchanged. The combinational logic shrinks a lot: the AIG's 91 AND and 116 NOT nodes are mapped down to a 55-cell netlist with only 7 $_AND_, 8 $_NAND_, 3 $_ORNOT_, 2 $_OR_ and 2 $_XOR_ gates, giving an area of 189.5 and a delay of 385.98.", "source_file": "github_repos/olofk_serv/rtl/serv_bufreg.v", "module_name": "serv_bufreg", "tool_name": "graph_extractor+synthesis_tool", "tool_parameters": [{"graph_type": "AIG"}, {"optimization_level": "medium"}], "tool_result": "[graph_extractor {\"graph_type\": \"AIG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"AIG\",\n...[33088 chars elided]...\n \"node_count\": 260,\n \"edge_count\": 636,\n \"graph_properties\": {\n \"node_types\": {\n \"$_AND_\": 91,\n \"$_NOT_\": 116,\n \"$_DFF_P_\": 1,\n \"$_DFFE_PP_\": 32,\n \"port_input\": 16,\n \"port_output\": 4\n },\n \"avg_degree\": 2.45,\n \"module_name\": \"serv_bufreg\"\n },\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 189.5,\n \"delay\": 385.98,\n \"power\": 0.055,\n \"gate_count\": 55,\n \"cell_breakdown\": {\n \"$_AND_\": 7,\n \"$_DFFE_PP_\": 32,\n \"$_DFF_P_\": 1,\n \"$_NAND_\": 8,\n \"$_ORNOT_\": 3,\n \"$_OR_\": 2,\n \"$_XOR_\": 2\n },\n \"wire_count\": 43,\n \"wire_bits\": 139,\n \"critical_path_estimate\": 385.98,\n...[1216 chars elided]...\n \"error\": null\n}", "category": "multi_tool", "subcategory": "graph_extractor+synthesis_tool", "difficulty": "compositional", "question_hash": "57ef60df9915", "stage1_target": "[{\"tool\": \"graph_extractor\", \"parameters\": {\"graph_type\": \"AIG\"}}, {\"tool\": \"synthesis_tool\", \"parameters\": {\"optimization_level\": \"medium\"}}]", "stage2_context": "Question: For serv_bufreg, how does the number of flip-flops in the AIG compare with the flip-flops left after medium-effort synthesis, and how much does the combinational logic shrink between the AIG's AND/NOT nodes and the synthesized gate count?\n\n[graph_extractor {\"graph_type\": \"AIG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"AIG\",\n...[33088 chars elided]...\n \"node_count\": 260,\n \"edge_count\": 636,\n \"graph_properties\": {\n \"node_types\": {\n \"$_AND_\": 91,\n \"$_NOT_\": 116,\n \"$_DFF_P_\": 1,\n \"$_DFFE_PP_\": 32,\n \"port_input\": 16,\n \"port_output\": 4\n },\n \"avg_degree\": 2.45,\n \"module_name\": \"serv_bufreg\"\n },\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 189.5,\n \"delay\": 385.98,\n \"power\": 0.055,\n \"gate_count\": 55,\n \"cell_breakdown\": {\n \"$_AND_\": 7,\n \"$_DFFE_PP_\": 32,\n \"$_DFF_P_\": 1,\n \"$_NAND_\": 8,\n \"$_ORNOT_\": 3,\n \"$_OR_\": 2,\n \"$_XOR_\": 2\n },\n \"wire_count\": 43,\n \"wire_bits\": 139,\n \"critical_path_estimate\": 385.98,\n...[1216 chars elided]...\n \"error\": null\n}", "plan_id": "85fb80e17a4d", "design_id": "06cb742dc63d", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/olofk/serv", "commit": "f200eb2ed7b69ac1c6b8eddd47654522aeee5ce8", "path": "rtl/serv_bufreg.v", "sha256": "76404174ec92c6cf68e0042798dede84d77c5e454c7f428afc7b9f612a3c52d4"}} {"question": "For the serv_rf_ram_if module, how does the 7-register count and the blocking-assignment lint warning compare with the number of flip-flop cells in the medium-optimization synthesized netlist, and what area and delay does that netlist reach?", "answer": "Static analysis of serv_rf_ram_if finds 7 regs across 5 always blocks and flags a \"Potential blocking assignment in sequential block\" warning. Synthesis at medium optimization produces 184 cells, including 32 $_DFF_P_ flip-flops plus 2 $_DFFE_PP_, 1 $_SDFFE_PP0P_, 2 $_SDFF_PN0_ and 7 $_SDFF_PP0_ cells, so the 7 declared registers turn into many single-bit flops. The netlist has an area of 337.5 and a delay of 318.77.", "source_file": "github_repos/olofk_serv/rtl/serv_rf_ram_if.v", "module_name": "serv_rf_ram_if", "tool_name": "static_analyzer+synthesis_tool", "tool_parameters": [{"analysis_type": "full"}, {"optimization_level": "medium"}], "tool_result": "[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"serv_rf_ram_if\",\n \"port_count\": {\n \"inputs\": 13,\n \"outputs\": 8,\n \"inouts\": 0,\n \"total\": 21\n },\n \"signal_count\": {\n \"wires\": 12,\n \"regs\": 7,\n \"parameters\": 11,\n \"total\": 19\n },\n \"always_blocks\": 5,\n \"assign_statements\": 16,\n \"instantiations\": [\n \"generate\",\n \"Address\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 141,\n \"total_lines\": 187,\n \"cyclomatic_complexity\": 21,\n \"nesting_depth\": 16,\n \"operator_count\": 222\n },\n \"lint_warnings\": [\n \"Potential blocking assignment in sequential block\"\n ],\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 337.5,\n \"delay\": 318.77,\n \"power\": 0.184,\n \"gate_count\": 184,\n \"cell_breakdown\": {\n \"$_ANDNOT_\": 3,\n \"$_AND_\": 7,\n \"$_DFFE_PP_\": 2,\n \"$_DFF_P_\": 32,\n \"$_NAND_\": 74,\n \"$_NOR_\": 1,\n \"$_NOT_\": 4,\n \"$_ORNOT_\": 34,\n \"$_OR_\": 12,\n \"$_SDFFE_PP0P_\": 1,\n \"$_SDFF_PN0_\": 2,\n \"$_SDFF_PP0_\": 7,\n \"$_XNOR_\": 4,\n \"$_XOR_\": 1\n },\n \"wire_count\": 136,\n \"wire_bits\": 309\n...[1388 chars elided]...\n \"error\": null\n}", "category": "multi_tool", "subcategory": "static_analyzer+synthesis_tool", "difficulty": "compositional", "question_hash": "ab2b490a80d9", "stage1_target": "[{\"tool\": \"static_analyzer\", \"parameters\": {\"analysis_type\": \"full\"}}, {\"tool\": \"synthesis_tool\", \"parameters\": {\"optimization_level\": \"medium\"}}]", "stage2_context": "Question: For the serv_rf_ram_if module, how does the 7-register count and the blocking-assignment lint warning compare with the number of flip-flop cells in the medium-optimization synthesized netlist, and what area and delay does that netlist reach?\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"serv_rf_ram_if\",\n \"port_count\": {\n \"inputs\": 13,\n \"outputs\": 8,\n \"inouts\": 0,\n \"total\": 21\n },\n \"signal_count\": {\n \"wires\": 12,\n \"regs\": 7,\n \"parameters\": 11,\n \"total\": 19\n },\n \"always_blocks\": 5,\n \"assign_statements\": 16,\n \"instantiations\": [\n \"generate\",\n \"Address\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 141,\n \"total_lines\": 187,\n \"cyclomatic_complexity\": 21,\n \"nesting_depth\": 16,\n \"operator_count\": 222\n },\n \"lint_warnings\": [\n \"Potential blocking assignment in sequential block\"\n ],\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 337.5,\n \"delay\": 318.77,\n \"power\": 0.184,\n \"gate_count\": 184,\n \"cell_breakdown\": {\n \"$_ANDNOT_\": 3,\n \"$_AND_\": 7,\n \"$_DFFE_PP_\": 2,\n \"$_DFF_P_\": 32,\n \"$_NAND_\": 74,\n \"$_NOR_\": 1,\n \"$_NOT_\": 4,\n \"$_ORNOT_\": 34,\n \"$_OR_\": 12,\n \"$_SDFFE_PP0P_\": 1,\n \"$_SDFF_PN0_\": 2,\n \"$_SDFF_PP0_\": 7,\n \"$_XNOR_\": 4,\n \"$_XOR_\": 1\n },\n \"wire_count\": 136,\n \"wire_bits\": 309\n...[1388 chars elided]...\n \"error\": null\n}", "plan_id": "5c2f87377a52", "design_id": "06778b88a759", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/olofk/serv", "commit": "f200eb2ed7b69ac1c6b8eddd47654522aeee5ce8", "path": "rtl/serv_rf_ram_if.v", "sha256": "abb39b6bdf4d335bd2f90f75ddb1a410500a1a51a3e9f170453cb491d98d8697"}} {"question": "For sirv_repeater_6, how does the register structure in the DFG compare with the flip-flops left after medium-effort synthesis, and what area and delay does the synthesized design reach?", "answer": "The DFG for sirv_repeater_6 contains 8 $adffe nodes (registers with enable and async reset) alongside 9 $mux nodes, and after synthesis these registers become 51 single-bit $_DFFE_PP0P_ cells out of 210 total cells. The synthesized design has an area of 235.5 and a critical-path delay of 236.6.", "source_file": "github_repos/riscv-mcu_e203_hbirdv2/rtl/e203/perips/sirv_repeater_6.v", "module_name": "sirv_repeater_6", "tool_name": "graph_extractor+synthesis_tool", "tool_parameters": [{"graph_type": "DFG"}, {"optimization_level": "medium"}], "tool_result": "[graph_extractor {\"graph_type\": \"DFG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"DFG\",\n...[33199 chars elided]...\n \"node_count\": 48,\n \"edge_count\": 316,\n \"graph_properties\": {\n \"node_types\": {\n \"$mux\": 9,\n \"$and\": 5,\n \"$not\": 2,\n \"$or\": 1,\n \"$adffe\": 8,\n \"$reduce_bool\": 1,\n \"port_input\": 12,\n \"port_output\": 10\n },\n \"avg_degree\": 6.58,\n \"module_name\": \"sirv_repeater_6\"\n },\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 235.5,\n \"delay\": 236.6,\n \"power\": 0.21,\n \"gate_count\": 210,\n \"cell_breakdown\": {\n \"$_ANDNOT_\": 2,\n \"$_AND_\": 4,\n \"$_DFFE_PP0P_\": 51,\n \"$_NAND_\": 100,\n \"$_NOT_\": 1,\n \"$_ORNOT_\": 50,\n \"$_OR_\": 2\n },\n \"wire_count\": 146,\n \"wire_bits\": 318,\n \"critical_path_estimate\": 236.6,\n...[1220 chars elided]...\n \"error\": null\n}", "category": "multi_tool", "subcategory": "graph_extractor+synthesis_tool", "difficulty": "compositional", "question_hash": "a23d72b4d909", "stage1_target": "[{\"tool\": \"graph_extractor\", \"parameters\": {\"graph_type\": \"DFG\"}}, {\"tool\": \"synthesis_tool\", \"parameters\": {\"optimization_level\": \"medium\"}}]", "stage2_context": "Question: For sirv_repeater_6, how does the register structure in the DFG compare with the flip-flops left after medium-effort synthesis, and what area and delay does the synthesized design reach?\n\n[graph_extractor {\"graph_type\": \"DFG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"DFG\",\n...[33199 chars elided]...\n \"node_count\": 48,\n \"edge_count\": 316,\n \"graph_properties\": {\n \"node_types\": {\n \"$mux\": 9,\n \"$and\": 5,\n \"$not\": 2,\n \"$or\": 1,\n \"$adffe\": 8,\n \"$reduce_bool\": 1,\n \"port_input\": 12,\n \"port_output\": 10\n },\n \"avg_degree\": 6.58,\n \"module_name\": \"sirv_repeater_6\"\n },\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 235.5,\n \"delay\": 236.6,\n \"power\": 0.21,\n \"gate_count\": 210,\n \"cell_breakdown\": {\n \"$_ANDNOT_\": 2,\n \"$_AND_\": 4,\n \"$_DFFE_PP0P_\": 51,\n \"$_NAND_\": 100,\n \"$_NOT_\": 1,\n \"$_ORNOT_\": 50,\n \"$_OR_\": 2\n },\n \"wire_count\": 146,\n \"wire_bits\": 318,\n \"critical_path_estimate\": 236.6,\n...[1220 chars elided]...\n \"error\": null\n}", "plan_id": "caf8d5954bd4", "design_id": "07cf9b3a7ab8", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/riscv-mcu/e203_hbirdv2", "commit": "9f3e34f337f5d0a1236a285871ffa2032491617a", "path": "rtl/e203/perips/sirv_repeater_6.v", "sha256": "330a75c050c67454c568890c6e251341972440bf7eb743d73508adfd5321fae0"}} {"question": "For the SDFCNQD1 module, how do the RTL-to-netlist signal mapping results match up with the module's port structure and code complexity, and which port didn't map?", "answer": "SDFCNQD1 has 5 inputs and 1 output, and its RTL-to-netlist mapping got an alignment score of 83.33 with 5 mapped signals. The only unmapped element is the output Q, even though the module has 1 reg, 1 always block and a cyclomatic complexity of 4.", "source_file": "github_repos/nvdla_hw/vmod/vlibs/SDFCNQD1.v", "module_name": "SDFCNQD1", "tool_name": "cross_stage_mapper+static_analyzer", "tool_parameters": [{}, {"analysis_type": "full"}], "tool_result": "[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"D\": [\n \"D\",\n \"CDN\"\n ],\n \"CDN\": [\n \"CDN\"\n ],\n \"Q\": [],\n \"SE\": [\n \"SE\"\n ],\n \"SI\": [\n \"SI\"\n ],\n \"CP\": [\n \"CP\"\n ]\n },\n \"alignment_score\": 83.33,\n \"unmapped_elements\": [\n \"Q\"\n ],\n \"mapping_statistics\": {\n \"rtl_signals\": 6,\n \"netlist_wires\": 12,\n \"netlist_cells\": 0,\n \"mapped_signals\": 5,\n \"unmapped_signals\": 1\n },\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"SDFCNQD1\",\n \"port_count\": {\n \"inputs\": 5,\n \"outputs\": 1,\n \"inouts\": 0,\n \"total\": 6\n },\n \"signal_count\": {\n \"wires\": 0,\n \"regs\": 1,\n \"parameters\": 0,\n \"total\": 1\n },\n \"always_blocks\": 1,\n \"assign_statements\": 1,\n \"instantiations\": [],\n \"code_complexity\": {\n \"lines_of_code\": 24,\n \"total_lines\": 39,\n \"cyclomatic_complexity\": 4,\n \"nesting_depth\": 1,\n \"operator_count\": 151\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "category": "multi_tool", "subcategory": "cross_stage_mapper+static_analyzer", "difficulty": "compositional", "question_hash": "ce0909ff3cc1", "stage1_target": "[{\"tool\": \"cross_stage_mapper\", \"parameters\": {}}, {\"tool\": \"static_analyzer\", \"parameters\": {\"analysis_type\": \"full\"}}]", "stage2_context": "Question: For the SDFCNQD1 module, how do the RTL-to-netlist signal mapping results match up with the module's port structure and code complexity, and which port didn't map?\n\n[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"D\": [\n \"D\",\n \"CDN\"\n ],\n \"CDN\": [\n \"CDN\"\n ],\n \"Q\": [],\n \"SE\": [\n \"SE\"\n ],\n \"SI\": [\n \"SI\"\n ],\n \"CP\": [\n \"CP\"\n ]\n },\n \"alignment_score\": 83.33,\n \"unmapped_elements\": [\n \"Q\"\n ],\n \"mapping_statistics\": {\n \"rtl_signals\": 6,\n \"netlist_wires\": 12,\n \"netlist_cells\": 0,\n \"mapped_signals\": 5,\n \"unmapped_signals\": 1\n },\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"SDFCNQD1\",\n \"port_count\": {\n \"inputs\": 5,\n \"outputs\": 1,\n \"inouts\": 0,\n \"total\": 6\n },\n \"signal_count\": {\n \"wires\": 0,\n \"regs\": 1,\n \"parameters\": 0,\n \"total\": 1\n },\n \"always_blocks\": 1,\n \"assign_statements\": 1,\n \"instantiations\": [],\n \"code_complexity\": {\n \"lines_of_code\": 24,\n \"total_lines\": 39,\n \"cyclomatic_complexity\": 4,\n \"nesting_depth\": 1,\n \"operator_count\": 151\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "plan_id": "07fc445906a6", "design_id": "0b8c27af250c", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/nvdla/hw", "commit": "8e06b1b9d85aab65b40d43d08eec5ea4681ff715", "path": "vmod/vlibs/SDFCNQD1.v", "sha256": "4aefb891c8d8baa3f110bec4aa8fccef674fa411de35749390a5d1f9201e72fe"}} {"question": "For NV_NVDLA_SDP_wdma, how well does the RTL line up with the netlist, and does that fit with what the CDFG shows about how the top level is built from submodules?", "answer": "NV_NVDLA_SDP_wdma lines up closely between RTL and netlist, with an alignment score of 98.28 and 57 of 58 RTL signals mapped. The only unmapped element is \"processing\". That fits the CDFG, which has 53 nodes and 2965 edges and is mostly ports (33 port_input and 10 port_output). The top level also holds just a little glue logic (1 $and, 2 $mux, 1 $adffe) around four submodule instances, including NV_NVDLA_SDP_WDMA_cmd and NV_NVDLA_SDP_WDMA_dmaif.", "source_file": "github_repos/nvdla_hw/vmod/nvdla/sdp/NV_NVDLA_SDP_wdma.v", "module_name": "NV_NVDLA_SDP_wdma", "tool_name": "cross_stage_mapper+graph_extractor", "tool_parameters": [{}, {"graph_type": "CDFG"}], "tool_result": "[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"reg2dp_height\": [\n \"reg2dp_height\"\n ],\n \"dla_clk_ovr_on_sync\": [\n \"dla_clk_ovr_on_sync\"\n ],\n \"dma_wr_req_rdy\": [\n \"dma_wr_req_rdy\"\n ],\n \"dma_wr_req_type\": [\n \"dma_wr_req_type\"\n ],\n \"dma_wr_req_vld\": [\n \"dma_wr_req_vld\"\n ],\n \"cmd2dat_spt_pd\": [\n \"cmd2dat_spt_pd\"\n ],\n \"cmd2dat_spt_pvld\": [\n \"cmd2dat_spt_pv\n...[2530 chars elided]...\n\"sdp2mcif_wr_req_valid\"\n ],\n \"pwrbus_ram_pd\": [\n \"pwrbus_ram_pd\"\n ],\n \"reg2dp_dst_base_addr_high\": [\n \"reg2dp_dst_base_addr_high\"\n ],\n \"intr_req_pvld\": [\n \"intr_req_pvld\"\n ],\n \"reg2dp_ew_alu_algo\": [\n \"reg2dp_ew_alu_algo\"\n ],\n \"sdp_dp2wdma_ready\": [\n \"sdp_dp2wdma_ready\"\n ],\n \"op_load\": [\n \"op_load\"\n ],\n \"reg2dp_channel\": [\n \"reg2dp_channel\"\n ],\n \"sdp2cvif_wr_req_pd\": [\n \"sdp2cvif_wr_req_pd\"\n ],\n \"sdp2cvif_wr_req_ready\": [\n \"sdp2cvif_wr_req_ready\"\n ],\n \"sdp2glb_done_intr_pd\": [\n \"sdp2glb_done_intr_pd\"\n ]\n },\n \"alignment_score\": 98.28,\n \"unmapped_elements\": [\n \"processing\"\n ],\n \"mapping_statistics\": {\n \"rtl_signals\": 58,\n \"netlist_wires\": 68,\n \"netlist_cells\": 0,\n \"mapped_signals\": 57,\n \"unmapped_signals\": 1\n },\n \"error\": null\n}\n\n[graph_extractor {\"graph_type\": \"CDFG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"CDFG\",\n...[46798 chars elided]...\n \"node_count\": 53,\n \"edge_count\": 2965,\n \"graph_properties\": {\n \"node_types\": {\n \"$and\": 1,\n \"$logic_not\": 1,\n \"$adffe\": 1,\n \"$reduce_bool\": 1,\n \"$mux\": 2,\n \"NV_NVDLA_SDP_WDMA_cmd\": 1,\n \"NV_NVDLA_SDP_WDMA_dat\": 1,\n \"NV_NVDLA_SDP_WDMA_dmaif\": 1,\n \"NV_NVDLA_SDP_WDMA_gate\": 1,\n \"port_input\": 33,\n \"port_output\": 10\n },\n \"avg_degree\": 55.94,\n \"module_name\": \"NV_NVDLA_SDP_wdma\"\n },\n \"error\": null\n}", "category": "multi_tool", "subcategory": "cross_stage_mapper+graph_extractor", "difficulty": "compositional", "question_hash": "bd9728d601ae", "stage1_target": "[{\"tool\": \"cross_stage_mapper\", \"parameters\": {}}, {\"tool\": \"graph_extractor\", \"parameters\": {\"graph_type\": \"CDFG\"}}]", "stage2_context": "Question: For NV_NVDLA_SDP_wdma, how well does the RTL line up with the netlist, and does that fit with what the CDFG shows about how the top level is built from submodules?\n\n[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"reg2dp_height\": [\n \"reg2dp_height\"\n ],\n \"dla_clk_ovr_on_sync\": [\n \"dla_clk_ovr_on_sync\"\n ],\n \"dma_wr_req_rdy\": [\n \"dma_wr_req_rdy\"\n ],\n \"dma_wr_req_type\": [\n \"dma_wr_req_type\"\n ],\n \"dma_wr_req_vld\": [\n \"dma_wr_req_vld\"\n ],\n \"cmd2dat_spt_pd\": [\n \"cmd2dat_spt_pd\"\n ],\n \"cmd2dat_spt_pvld\": [\n \"cmd2dat_spt_pv\n...[2530 chars elided]...\n\"sdp2mcif_wr_req_valid\"\n ],\n \"pwrbus_ram_pd\": [\n \"pwrbus_ram_pd\"\n ],\n \"reg2dp_dst_base_addr_high\": [\n \"reg2dp_dst_base_addr_high\"\n ],\n \"intr_req_pvld\": [\n \"intr_req_pvld\"\n ],\n \"reg2dp_ew_alu_algo\": [\n \"reg2dp_ew_alu_algo\"\n ],\n \"sdp_dp2wdma_ready\": [\n \"sdp_dp2wdma_ready\"\n ],\n \"op_load\": [\n \"op_load\"\n ],\n \"reg2dp_channel\": [\n \"reg2dp_channel\"\n ],\n \"sdp2cvif_wr_req_pd\": [\n \"sdp2cvif_wr_req_pd\"\n ],\n \"sdp2cvif_wr_req_ready\": [\n \"sdp2cvif_wr_req_ready\"\n ],\n \"sdp2glb_done_intr_pd\": [\n \"sdp2glb_done_intr_pd\"\n ]\n },\n \"alignment_score\": 98.28,\n \"unmapped_elements\": [\n \"processing\"\n ],\n \"mapping_statistics\": {\n \"rtl_signals\": 58,\n \"netlist_wires\": 68,\n \"netlist_cells\": 0,\n \"mapped_signals\": 57,\n \"unmapped_signals\": 1\n },\n \"error\": null\n}\n\n[graph_extractor {\"graph_type\": \"CDFG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"CDFG\",\n...[46798 chars elided]...\n \"node_count\": 53,\n \"edge_count\": 2965,\n \"graph_properties\": {\n \"node_types\": {\n \"$and\": 1,\n \"$logic_not\": 1,\n \"$adffe\": 1,\n \"$reduce_bool\": 1,\n \"$mux\": 2,\n \"NV_NVDLA_SDP_WDMA_cmd\": 1,\n \"NV_NVDLA_SDP_WDMA_dat\": 1,\n \"NV_NVDLA_SDP_WDMA_dmaif\": 1,\n \"NV_NVDLA_SDP_WDMA_gate\": 1,\n \"port_input\": 33,\n \"port_output\": 10\n },\n \"avg_degree\": 55.94,\n \"module_name\": \"NV_NVDLA_SDP_wdma\"\n },\n \"error\": null\n}", "plan_id": "cb147688e57a", "design_id": "0d817c1e8173", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/nvdla/hw", "commit": "8e06b1b9d85aab65b40d43d08eec5ea4681ff715", "path": "vmod/nvdla/sdp/NV_NVDLA_SDP_wdma.v", "sha256": "1ba4e02a64f206f59b9d5379befea25fc3b34f868273f91717aae0ae23dff50c"}} {"question": "For NV_NVDLA_SDP_wdma, how well do the RTL signals line up with the netlist, how complex is the RTL structurally, and what change in area should I expect if I run an area-targeted optimization flow? I'd like a short summary covering all three.", "answer": "NV_NVDLA_SDP_wdma's RTL-to-netlist mapping reaches an alignment score of 98.28, with 57 of 58 RTL signals mapped and only \"processing\" left unmapped. Structurally, it has 43 ports, a cyclomatic complexity of 7, and four submodule instantiations, including NV_NVDLA_SDP_WDMA_dat and NV_NVDLA_SDP_WDMA_dmaif. An area-targeted flow using \"share -aggressive\" is estimated to change area by -15.0, at the cost of a 5.0 increase in delay.", "source_file": "github_repos/nvdla_hw/vmod/nvdla/sdp/NV_NVDLA_SDP_wdma.v", "module_name": "NV_NVDLA_SDP_wdma", "tool_name": "cross_stage_mapper+optimization_advisor+static_analyzer", "tool_parameters": [{}, {"target_metric": "area"}, {"analysis_type": "full"}], "tool_result": "[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"reg2dp_height\": [\n \"reg2dp_height\"\n ],\n \"dla_clk_ovr_on_sync\": [\n \"dla_clk_ovr_on_sync\"\n ],\n \"dma_wr_req_rdy\": [\n \"dma_wr_req_rdy\"\n ],\n \"dma_wr_req_type\": [\n \"dma_wr_req_type\"\n ],\n \"\n...[2980 chars elided]...\n \"sdp_dp2wdma_ready\"\n ],\n \"op_load\": [\n \"op_load\"\n ],\n \"reg2dp_channel\": [\n \"reg2dp_channel\"\n ],\n \"sdp2cvif_wr_req_pd\": [\n \"sdp2cvif_wr_req_pd\"\n ],\n \"sdp2cvif_wr_req_ready\": [\n \"sdp2cvif_wr_req_ready\"\n ],\n \"sdp2glb_done_intr_pd\": [\n \"sdp2glb_done_intr_pd\"\n ]\n },\n \"alignment_score\": 98.28,\n \"unmapped_elements\": [\n \"processing\"\n ],\n \"mapping_statistics\": {\n \"rtl_signals\": 58,\n \"netlist_wires\": 68,\n \"netlist_cells\": 0,\n \"mapped_signals\": 57,\n \"unmapped_signals\": 1\n },\n \"error\": null\n}\n\n[optimization_advisor {\"target_metric\": \"area\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"area\",\n \"recommended_recipes\": [\n \"synth -top NV_NVDLA_SDP_wdma -flatten\",\n \"opt -full; share -aggressive; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean -purge\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"resource_sharing\",\n \"description\": \"Share arithmetic operators\",\n \"command\": \"share -aggressive\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": -15.0,\n \"delay\": 5.0,\n \"power\": -10.0\n },\n \"trade_offs\": [\n \"Area optimization may increase delay\",\n \"Aggressive sharing increases routing complexity\"\n ],\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"NV_NVDLA_SDP_wdma\",\n \"port_count\": {\n \"inputs\": 33,\n \"outputs\": 10,\n \"inouts\": 0,\n \"total\": 43\n },\n \"signal_count\": {\n \"wires\": 14,\n \"regs\": 1,\n \"parameters\": 0,\n \"total\": 15\n },\n \"always_blocks\": 1,\n \"assign_statements\": 1,\n \"instantiations\": [\n \"NV_NVDLA_SDP_WDMA_dat\",\n \"NV_NVDLA_SDP_WDMA_cmd\",\n \"NV_NVDLA_SDP_WDMA_gate\",\n \"NV_NVDLA_SDP_WDMA_dmaif\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 217,\n \"total_lines\": 249,\n \"cyclomatic_complexity\": 7,\n \"nesting_depth\": 5,\n \"operator_count\": 775\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "category": "multi_tool", "subcategory": "cross_stage_mapper+optimization_advisor+static_analyzer", "difficulty": "compositional", "question_hash": "48588073d526", "stage1_target": "[{\"tool\": \"cross_stage_mapper\", \"parameters\": {}}, {\"tool\": \"optimization_advisor\", \"parameters\": {\"target_metric\": \"area\"}}, {\"tool\": \"static_analyzer\", \"parameters\": {\"analysis_type\": \"full\"}}]", "stage2_context": "Question: For NV_NVDLA_SDP_wdma, how well do the RTL signals line up with the netlist, how complex is the RTL structurally, and what change in area should I expect if I run an area-targeted optimization flow? I'd like a short summary covering all three.\n\n[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"reg2dp_height\": [\n \"reg2dp_height\"\n ],\n \"dla_clk_ovr_on_sync\": [\n \"dla_clk_ovr_on_sync\"\n ],\n \"dma_wr_req_rdy\": [\n \"dma_wr_req_rdy\"\n ],\n \"dma_wr_req_type\": [\n \"dma_wr_req_type\"\n ],\n \"\n...[2980 chars elided]...\n \"sdp_dp2wdma_ready\"\n ],\n \"op_load\": [\n \"op_load\"\n ],\n \"reg2dp_channel\": [\n \"reg2dp_channel\"\n ],\n \"sdp2cvif_wr_req_pd\": [\n \"sdp2cvif_wr_req_pd\"\n ],\n \"sdp2cvif_wr_req_ready\": [\n \"sdp2cvif_wr_req_ready\"\n ],\n \"sdp2glb_done_intr_pd\": [\n \"sdp2glb_done_intr_pd\"\n ]\n },\n \"alignment_score\": 98.28,\n \"unmapped_elements\": [\n \"processing\"\n ],\n \"mapping_statistics\": {\n \"rtl_signals\": 58,\n \"netlist_wires\": 68,\n \"netlist_cells\": 0,\n \"mapped_signals\": 57,\n \"unmapped_signals\": 1\n },\n \"error\": null\n}\n\n[optimization_advisor {\"target_metric\": \"area\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"area\",\n \"recommended_recipes\": [\n \"synth -top NV_NVDLA_SDP_wdma -flatten\",\n \"opt -full; share -aggressive; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean -purge\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"resource_sharing\",\n \"description\": \"Share arithmetic operators\",\n \"command\": \"share -aggressive\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": -15.0,\n \"delay\": 5.0,\n \"power\": -10.0\n },\n \"trade_offs\": [\n \"Area optimization may increase delay\",\n \"Aggressive sharing increases routing complexity\"\n ],\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"NV_NVDLA_SDP_wdma\",\n \"port_count\": {\n \"inputs\": 33,\n \"outputs\": 10,\n \"inouts\": 0,\n \"total\": 43\n },\n \"signal_count\": {\n \"wires\": 14,\n \"regs\": 1,\n \"parameters\": 0,\n \"total\": 15\n },\n \"always_blocks\": 1,\n \"assign_statements\": 1,\n \"instantiations\": [\n \"NV_NVDLA_SDP_WDMA_dat\",\n \"NV_NVDLA_SDP_WDMA_cmd\",\n \"NV_NVDLA_SDP_WDMA_gate\",\n \"NV_NVDLA_SDP_WDMA_dmaif\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 217,\n \"total_lines\": 249,\n \"cyclomatic_complexity\": 7,\n \"nesting_depth\": 5,\n \"operator_count\": 775\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "plan_id": "4b26d95dd577", "design_id": "0d817c1e8173", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 3, "ctx_cap": 3300, "source": {"repository": "https://github.com/nvdla/hw", "commit": "8e06b1b9d85aab65b40d43d08eec5ea4681ff715", "path": "vmod/nvdla/sdp/NV_NVDLA_SDP_wdma.v", "sha256": "1ba4e02a64f206f59b9d5379befea25fc3b34f868273f91717aae0ae23dff50c"}} {"question": "For NV_NVDLA_RUBIK_wr_req, how well do the RTL signals map onto the synthesized netlist, and does the module's structural complexity help explain why some signals, such as the stall-counter registers, have no netlist match?", "answer": "NV_NVDLA_RUBIK_wr_req has an RTL-to-netlist alignment score of 78.75, with 63 of its 80 RTL signals mapped and 17 unmapped, including dp2reg_d0_wr_stall_cnt, dp2reg_d1_wr_stall_cnt and stl_cnt_cur. That fits a fairly complex design with 16 always blocks, 34 assign statements, a cyclomatic complexity of 57 and two submodule instantiations (NV_NVDLA_RUBIK_wrdma_cmd and NV_NVDLA_RUBIK_wrdma_data), where signals inside performance-counter and control logic were probably renamed or merged during synthesis.", "source_file": "github_repos/nvdla_hw/vmod/nvdla/rubik/NV_NVDLA_RUBIK_wr_req.v", "module_name": "NV_NVDLA_RUBIK_wr_req", "tool_name": "cross_stage_mapper+static_analyzer", "tool_parameters": [{}, {"analysis_type": "full"}], "tool_result": "[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"dma_wr_datal_ordy\": [\n \"dma_wr_datal_ordy\"\n ],\n \"send_cmd_open\": [],\n \"fill_half\": [],\n \"dp2reg_d1_wr_stall_cnt\": [],\n \"dma_wr_datal_pd\": [\n \"dma_wr_datal_pd\"\n ],\n \"wr_stall_cnt_dec\": [\n \"wr_stall_cnt_dec\"\n ],\n \"dma_wr_datah_opd\": [\n \"dma_wr_datah_opd\"\n ],\n \"stl_cnt_nxt\": [\n \"stl_cnt_nxt\"\n ],\n \"dma_wr_data_pd\":\n...[3219 chars elided]...\nperf_en\": [\n \"reg2dp_perf_en\"\n ],\n \"dbuf_remain\": [],\n \"push_size\": [\n \"push_size\"\n ],\n \"dma_wr_datal_pop\": [\n \"dma_wr_datal_pop\"\n ],\n \"send_data\": [\n \"send_data_done\"\n ],\n \"dma_wr_cmd_req_vld\": [\n \"dma_wr_cmd_req_vld\"\n ]\n },\n \"alignment_score\": 78.75,\n \"unmapped_elements\": [\n \"send_cmd_open\",\n \"fill_half\",\n \"dp2reg_d1_wr_stall_cnt\",\n \"dp2reg_done_d\",\n \"dp2reg_d0_wr_stall_cnt\",\n \"send_half\",\n \"send_data_size\",\n \"funcpoint_cover_off\",\n \"send_cmd\",\n \"stl_cnt_cur\",\n \"mon_dbuf_remain\",\n \"logic\",\n \"mon_wr_dcnt_c\",\n \"stl_cnt_dec\",\n \"wr_req_stall_inc_d\",\n \"last_wr_cmd\",\n \"dbuf_remain\"\n ],\n \"mapping_statistics\": {\n \"rtl_signals\": 80,\n \"netlist_wires\": 7036,\n \"netlist_cells\": 0,\n \"mapped_signals\": 63,\n \"unmapped_signals\": 17\n },\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"NV_NVDLA_RUBIK_wr_req\",\n \"port_count\": {\n \"inputs\": 11,\n \"outputs\": 9,\n \"inouts\": 0,\n \"total\": 20\n },\n \"signal_count\": {\n \"wires\": 37,\n \"regs\": 25,\n \"parameters\": 0,\n \"total\": 62\n },\n \"always_blocks\": 16,\n \"assign_statements\": 34,\n \"instantiations\": [\n \"NV_NVDLA_RUBIK_wrdma_cmd\",\n \"NV_NVDLA_RUBIK_wrdma_data\",\n \"cover\",\n \"disable\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 365,\n \"total_lines\": 474,\n \"cyclomatic_complexity\": 57,\n \"nesting_depth\": 47,\n \"operator_count\": 617\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "category": "multi_tool", "subcategory": "cross_stage_mapper+static_analyzer", "difficulty": "compositional", "question_hash": "0ce28bb12fa9", "stage1_target": "[{\"tool\": \"cross_stage_mapper\", \"parameters\": {}}, {\"tool\": \"static_analyzer\", \"parameters\": {\"analysis_type\": \"full\"}}]", "stage2_context": "Question: For NV_NVDLA_RUBIK_wr_req, how well do the RTL signals map onto the synthesized netlist, and does the module's structural complexity help explain why some signals, such as the stall-counter registers, have no netlist match?\n\n[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"dma_wr_datal_ordy\": [\n \"dma_wr_datal_ordy\"\n ],\n \"send_cmd_open\": [],\n \"fill_half\": [],\n \"dp2reg_d1_wr_stall_cnt\": [],\n \"dma_wr_datal_pd\": [\n \"dma_wr_datal_pd\"\n ],\n \"wr_stall_cnt_dec\": [\n \"wr_stall_cnt_dec\"\n ],\n \"dma_wr_datah_opd\": [\n \"dma_wr_datah_opd\"\n ],\n \"stl_cnt_nxt\": [\n \"stl_cnt_nxt\"\n ],\n \"dma_wr_data_pd\":\n...[3219 chars elided]...\nperf_en\": [\n \"reg2dp_perf_en\"\n ],\n \"dbuf_remain\": [],\n \"push_size\": [\n \"push_size\"\n ],\n \"dma_wr_datal_pop\": [\n \"dma_wr_datal_pop\"\n ],\n \"send_data\": [\n \"send_data_done\"\n ],\n \"dma_wr_cmd_req_vld\": [\n \"dma_wr_cmd_req_vld\"\n ]\n },\n \"alignment_score\": 78.75,\n \"unmapped_elements\": [\n \"send_cmd_open\",\n \"fill_half\",\n \"dp2reg_d1_wr_stall_cnt\",\n \"dp2reg_done_d\",\n \"dp2reg_d0_wr_stall_cnt\",\n \"send_half\",\n \"send_data_size\",\n \"funcpoint_cover_off\",\n \"send_cmd\",\n \"stl_cnt_cur\",\n \"mon_dbuf_remain\",\n \"logic\",\n \"mon_wr_dcnt_c\",\n \"stl_cnt_dec\",\n \"wr_req_stall_inc_d\",\n \"last_wr_cmd\",\n \"dbuf_remain\"\n ],\n \"mapping_statistics\": {\n \"rtl_signals\": 80,\n \"netlist_wires\": 7036,\n \"netlist_cells\": 0,\n \"mapped_signals\": 63,\n \"unmapped_signals\": 17\n },\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"NV_NVDLA_RUBIK_wr_req\",\n \"port_count\": {\n \"inputs\": 11,\n \"outputs\": 9,\n \"inouts\": 0,\n \"total\": 20\n },\n \"signal_count\": {\n \"wires\": 37,\n \"regs\": 25,\n \"parameters\": 0,\n \"total\": 62\n },\n \"always_blocks\": 16,\n \"assign_statements\": 34,\n \"instantiations\": [\n \"NV_NVDLA_RUBIK_wrdma_cmd\",\n \"NV_NVDLA_RUBIK_wrdma_data\",\n \"cover\",\n \"disable\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 365,\n \"total_lines\": 474,\n \"cyclomatic_complexity\": 57,\n \"nesting_depth\": 47,\n \"operator_count\": 617\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "plan_id": "d0fed2ef721e", "design_id": "0e099769f970", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/nvdla/hw", "commit": "8e06b1b9d85aab65b40d43d08eec5ea4681ff715", "path": "vmod/nvdla/rubik/NV_NVDLA_RUBIK_wr_req.v", "sha256": "812f37aab0f93a64f691e36ececfc8b2d494efd01aa21a5dbc7ad834922f02a8"}} {"question": "For NV_NVDLA_PDP_slcg, compare the AIG graph of the clock-gating enable logic with the medium-effort synthesized netlist: how many AND and NOT nodes does the AIG have, what does synthesis turn them into, and what are the resulting area and delay?", "answer": "The AIG of NV_NVDLA_PDP_slcg has 20 nodes, 3 of them $_AND_ and 9 of them $_NOT_, plus 1 NV_CLK_gate_power cell. Medium-effort synthesis reduces this enable logic to 1 $_NAND_ and 2 $_NOR_ cells next to the single NV_CLK_gate_power, giving 4 cells in total. The result has an area of 4.0 and a delay of 64.42.", "source_file": "github_repos/nvdla_hw/vmod/nvdla/pdp/NV_NVDLA_PDP_slcg.v", "module_name": "NV_NVDLA_PDP_slcg", "tool_name": "graph_extractor+synthesis_tool", "tool_parameters": [{"graph_type": "AIG"}, {"optimization_level": "medium"}], "tool_result": "[graph_extractor {\"graph_type\": \"AIG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"AIG\",\n...[4816 chars elided]...\n \"node_count\": 20,\n \"edge_count\": 31,\n \"graph_properties\": {\n \"node_types\": {\n \"$_AND_\": 3,\n \"$_NOT_\": 9,\n \"NV_CLK_gate_power\": 1,\n \"port_input\": 6,\n \"port_output\": 1\n },\n \"avg_degree\": 1.55,\n \"module_name\": \"NV_NVDLA_PDP_slcg\"\n },\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 4.0,\n \"delay\": 64.42,\n \"power\": 0.004,\n \"gate_count\": 4,\n \"cell_breakdown\": {\n \"$_NAND_\": 1,\n \"$_NOR_\": 2,\n \"NV_CLK_gate_power\": 1\n },\n \"wire_count\": 11,\n \"wire_bits\": 11,\n \"critical_path_estimate\": 64.42,\n...[1127 chars elided]...\n \"error\": null\n}", "category": "multi_tool", "subcategory": "graph_extractor+synthesis_tool", "difficulty": "compositional", "question_hash": "fdcdcf3ecf49", "stage1_target": "[{\"tool\": \"graph_extractor\", \"parameters\": {\"graph_type\": \"AIG\"}}, {\"tool\": \"synthesis_tool\", \"parameters\": {\"optimization_level\": \"medium\"}}]", "stage2_context": "Question: For NV_NVDLA_PDP_slcg, compare the AIG graph of the clock-gating enable logic with the medium-effort synthesized netlist: how many AND and NOT nodes does the AIG have, what does synthesis turn them into, and what are the resulting area and delay?\n\n[graph_extractor {\"graph_type\": \"AIG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"AIG\",\n...[4816 chars elided]...\n \"node_count\": 20,\n \"edge_count\": 31,\n \"graph_properties\": {\n \"node_types\": {\n \"$_AND_\": 3,\n \"$_NOT_\": 9,\n \"NV_CLK_gate_power\": 1,\n \"port_input\": 6,\n \"port_output\": 1\n },\n \"avg_degree\": 1.55,\n \"module_name\": \"NV_NVDLA_PDP_slcg\"\n },\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 4.0,\n \"delay\": 64.42,\n \"power\": 0.004,\n \"gate_count\": 4,\n \"cell_breakdown\": {\n \"$_NAND_\": 1,\n \"$_NOR_\": 2,\n \"NV_CLK_gate_power\": 1\n },\n \"wire_count\": 11,\n \"wire_bits\": 11,\n \"critical_path_estimate\": 64.42,\n...[1127 chars elided]...\n \"error\": null\n}", "plan_id": "10ef307dd157", "design_id": "0efca1a4c2d4", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/nvdla/hw", "commit": "8e06b1b9d85aab65b40d43d08eec5ea4681ff715", "path": "vmod/nvdla/pdp/NV_NVDLA_PDP_slcg.v", "sha256": "3a6fb238205bf7360fa335e9e848d96d4247373dafe130805c2ce035c63938cd"}} {"question": "For the clock-gating latch module CKLNQD12, how well do the RTL signals line up with the synthesized netlist, how does the DFG node composition compare with the synthesized cell breakdown, and what area and delay does a medium-effort synthesis report?", "answer": "In CKLNQD12, 4 of the 5 RTL signals map to the netlist, giving an alignment score of 80.0; the internal latch signal qd is the only unmapped one. The DFG has 7 nodes, including one $or, one $and and one $dff, and these line up with the 3 synthesized cells ($_OR_, $_AND_ and $_DFF_N_). Medium-effort synthesis reports an area of 6.0 and a delay of 115.87.", "source_file": "github_repos/nvdla_hw/vmod/vlibs/CKLNQD12.v", "module_name": "CKLNQD12", "tool_name": "cross_stage_mapper+graph_extractor+synthesis_tool", "tool_parameters": [{}, {"graph_type": "DFG"}, {"optimization_level": "medium"}], "tool_result": "[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"qd\": [],\n \"E\": [\n \"E\",\n \"TE\"\n ],\n \"Q\": [\n \"Q\"\n ],\n \"TE\": [\n \"TE\"\n ],\n \"CP\": [\n \"CP\"\n ]\n },\n \"alignment_score\": 80.0,\n \"unmapped_elements\": [\n \"qd\"\n ],\n \"mapping_statistics\": {\n \"rtl_signals\": 5,\n \"netlist_wires\": 11,\n \"netlist_cells\": 0,\n \"mapped_signals\": 4,\n \"unmapped_signals\": 1\n },\n \"error\": null\n}\n\n[graph_extractor {\"graph_type\": \"DFG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"DFG\",\n...[1875 chars elided]...\n \"node_count\": 7,\n \"edge_count\": 9,\n \"graph_properties\": {\n \"node_types\": {\n \"$or\": 1,\n \"$and\": 1,\n \"$dff\": 1,\n \"port_input\": 3,\n \"port_output\": 1\n },\n \"avg_degree\": 1.29,\n \"module_name\": \"CKLNQD12\"\n },\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 6.0,\n \"delay\": 115.87,\n \"power\": 0.003,\n \"gate_count\": 3,\n \"cell_breakdown\": {\n \"$_AND_\": 1,\n \"$_DFF_N_\": 1,\n \"$_OR_\": 1\n },\n \"wire_count\": 6,\n \"wire_bits\": 6,\n \"critical_path_estimate\": 115.87,\n...[1567 chars elided]...\n \"error\": null\n}", "category": "multi_tool", "subcategory": "cross_stage_mapper+graph_extractor+synthesis_tool", "difficulty": "compositional", "question_hash": "f467ba25ba17", "stage1_target": "[{\"tool\": \"cross_stage_mapper\", \"parameters\": {}}, {\"tool\": \"graph_extractor\", \"parameters\": {\"graph_type\": \"DFG\"}}, {\"tool\": \"synthesis_tool\", \"parameters\": {\"optimization_level\": \"medium\"}}]", "stage2_context": "Question: For the clock-gating latch module CKLNQD12, how well do the RTL signals line up with the synthesized netlist, how does the DFG node composition compare with the synthesized cell breakdown, and what area and delay does a medium-effort synthesis report?\n\n[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"qd\": [],\n \"E\": [\n \"E\",\n \"TE\"\n ],\n \"Q\": [\n \"Q\"\n ],\n \"TE\": [\n \"TE\"\n ],\n \"CP\": [\n \"CP\"\n ]\n },\n \"alignment_score\": 80.0,\n \"unmapped_elements\": [\n \"qd\"\n ],\n \"mapping_statistics\": {\n \"rtl_signals\": 5,\n \"netlist_wires\": 11,\n \"netlist_cells\": 0,\n \"mapped_signals\": 4,\n \"unmapped_signals\": 1\n },\n \"error\": null\n}\n\n[graph_extractor {\"graph_type\": \"DFG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"DFG\",\n...[1875 chars elided]...\n \"node_count\": 7,\n \"edge_count\": 9,\n \"graph_properties\": {\n \"node_types\": {\n \"$or\": 1,\n \"$and\": 1,\n \"$dff\": 1,\n \"port_input\": 3,\n \"port_output\": 1\n },\n \"avg_degree\": 1.29,\n \"module_name\": \"CKLNQD12\"\n },\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 6.0,\n \"delay\": 115.87,\n \"power\": 0.003,\n \"gate_count\": 3,\n \"cell_breakdown\": {\n \"$_AND_\": 1,\n \"$_DFF_N_\": 1,\n \"$_OR_\": 1\n },\n \"wire_count\": 6,\n \"wire_bits\": 6,\n \"critical_path_estimate\": 115.87,\n...[1567 chars elided]...\n \"error\": null\n}", "plan_id": "b9ef1020f8d5", "design_id": "1078962b4928", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 3, "ctx_cap": 3300, "source": {"repository": "https://github.com/nvdla/hw", "commit": "8e06b1b9d85aab65b40d43d08eec5ea4681ff715", "path": "vmod/vlibs/CKLNQD12.v", "sha256": "80bf2ace4582b6d834281c18cb9b18ce7e591c423268a968dcd42aaadda0ddb3"}} {"question": "For apb_spi_master, how well do the RTL signals map onto the synthesized netlist, and if I run a delay-targeted optimization flow, what delay improvement and area cost should I expect? Also, which RTL signals would that optimization leave without a netlist counterpart?", "answer": "The RTL-to-netlist mapping for apb_spi_master reaches an alignment score of 95.45, with 63 of 66 RTL signals mapped. The 3 unmapped signals are s_int_tx, s_int_rx and wire, and they get no help from the delay optimization. That optimization is estimated to change delay by -20.0 and area by 10.0, in line with the stated trade-off that speed optimization increases area.", "source_file": "github_repos/riscv-mcu_e203_hbirdv2/rtl/e203/perips/apb_spi_master/apb_spi_master.v", "module_name": "apb_spi_master", "tool_name": "cross_stage_mapper+optimization_advisor", "tool_parameters": [{}, {"target_metric": "delay"}], "tool_result": "[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"s_int_tx\": [],\n \"s_int_rx\": [],\n \"wire\": [],\n \"spi_data_tx_valid\": [\n \"spi_data_tx_valid\"\n ],\n \"spi_oe0\": [\n \"spi_oe0\"\n ],\n \"spi_dummy_wr\": [\n \"spi_dummy_wr\"\n ],\n \"PSEL\": [\n \"PSEL\"\n ],\n \"spi_wr\": [\n \"spi_wr\"\n ],\n \"spi_status\": [\n \"spi_status\"\n ],\n \"PWRITE\": [\n \"PWRITE\"\n ],\n \"spi_ctrl_data_\n...[2347 chars elided]...\n,\n \"s_int_status\": [\n \"s_int_status\"\n ],\n \"spi_data_tx\": [\n \"spi_data_tx_valid\",\n \"spi_data_tx\",\n \"spi_data_tx_ready\"\n ],\n \"spi_sdo3\": [\n \"spi_sdo3\"\n ],\n \"spi_data_rx_valid\": [\n \"spi_data_rx_valid\"\n ],\n \"s_eot\": [\n \"s_eot\"\n ],\n \"s_int_en\": [\n \"s_int_en\"\n ],\n \"spi_mode\": [\n \"spi_mode\"\n ],\n \"PRDATA\": [\n \"PRDATA\"\n ],\n \"spi_data_rx\": [\n \"spi_data_rx\",\n \"spi_data_rx_valid\",\n \"spi_data_rx_ready\"\n ],\n \"spi_oe1\": [\n \"spi_oe1\"\n ],\n \"PENABLE\": [\n \"PENABLE\"\n ]\n },\n \"alignment_score\": 95.45,\n \"unmapped_elements\": [\n \"s_int_tx\",\n \"s_int_rx\",\n \"wire\"\n ],\n \"mapping_statistics\": {\n \"rtl_signals\": 66,\n \"netlist_wires\": 250,\n \"netlist_cells\": 0,\n \"mapped_signals\": 63,\n \"unmapped_signals\": 3\n },\n \"error\": null\n}\n\n[optimization_advisor {\"target_metric\": \"delay\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"delay\",\n \"recommended_recipes\": [\n \"synth -top apb_spi_master\",\n \"opt -fast\",\n \"abc -fast -liberty stdcells.lib\",\n \"opt_clean\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"pipeline_insertion\",\n \"description\": \"Consider pipelining arithmetic operations\",\n \"command\": \"Use register retiming\"\n },\n {\n \"type\": \"logic_duplication\",\n \"description\": \"Duplicate logic to reduce fanout\",\n \"command\": \"splitnets -driver\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": 10.0,\n \"delay\": -20.0,\n \"power\": 5.0\n },\n \"trade_offs\": [\n \"Speed optimization increases area\",\n \"Higher power consumption\"\n ],\n \"error\": null\n}", "category": "multi_tool", "subcategory": "cross_stage_mapper+optimization_advisor", "difficulty": "compositional", "question_hash": "eb6a4aff5db7", "stage1_target": "[{\"tool\": \"cross_stage_mapper\", \"parameters\": {}}, {\"tool\": \"optimization_advisor\", \"parameters\": {\"target_metric\": \"delay\"}}]", "stage2_context": "Question: For apb_spi_master, how well do the RTL signals map onto the synthesized netlist, and if I run a delay-targeted optimization flow, what delay improvement and area cost should I expect? Also, which RTL signals would that optimization leave without a netlist counterpart?\n\n[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"s_int_tx\": [],\n \"s_int_rx\": [],\n \"wire\": [],\n \"spi_data_tx_valid\": [\n \"spi_data_tx_valid\"\n ],\n \"spi_oe0\": [\n \"spi_oe0\"\n ],\n \"spi_dummy_wr\": [\n \"spi_dummy_wr\"\n ],\n \"PSEL\": [\n \"PSEL\"\n ],\n \"spi_wr\": [\n \"spi_wr\"\n ],\n \"spi_status\": [\n \"spi_status\"\n ],\n \"PWRITE\": [\n \"PWRITE\"\n ],\n \"spi_ctrl_data_\n...[2347 chars elided]...\n,\n \"s_int_status\": [\n \"s_int_status\"\n ],\n \"spi_data_tx\": [\n \"spi_data_tx_valid\",\n \"spi_data_tx\",\n \"spi_data_tx_ready\"\n ],\n \"spi_sdo3\": [\n \"spi_sdo3\"\n ],\n \"spi_data_rx_valid\": [\n \"spi_data_rx_valid\"\n ],\n \"s_eot\": [\n \"s_eot\"\n ],\n \"s_int_en\": [\n \"s_int_en\"\n ],\n \"spi_mode\": [\n \"spi_mode\"\n ],\n \"PRDATA\": [\n \"PRDATA\"\n ],\n \"spi_data_rx\": [\n \"spi_data_rx\",\n \"spi_data_rx_valid\",\n \"spi_data_rx_ready\"\n ],\n \"spi_oe1\": [\n \"spi_oe1\"\n ],\n \"PENABLE\": [\n \"PENABLE\"\n ]\n },\n \"alignment_score\": 95.45,\n \"unmapped_elements\": [\n \"s_int_tx\",\n \"s_int_rx\",\n \"wire\"\n ],\n \"mapping_statistics\": {\n \"rtl_signals\": 66,\n \"netlist_wires\": 250,\n \"netlist_cells\": 0,\n \"mapped_signals\": 63,\n \"unmapped_signals\": 3\n },\n \"error\": null\n}\n\n[optimization_advisor {\"target_metric\": \"delay\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"delay\",\n \"recommended_recipes\": [\n \"synth -top apb_spi_master\",\n \"opt -fast\",\n \"abc -fast -liberty stdcells.lib\",\n \"opt_clean\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"pipeline_insertion\",\n \"description\": \"Consider pipelining arithmetic operations\",\n \"command\": \"Use register retiming\"\n },\n {\n \"type\": \"logic_duplication\",\n \"description\": \"Duplicate logic to reduce fanout\",\n \"command\": \"splitnets -driver\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": 10.0,\n \"delay\": -20.0,\n \"power\": 5.0\n },\n \"trade_offs\": [\n \"Speed optimization increases area\",\n \"Higher power consumption\"\n ],\n \"error\": null\n}", "plan_id": "c363225f84ce", "design_id": "10e1fd8898da", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/riscv-mcu/e203_hbirdv2", "commit": "9f3e34f337f5d0a1236a285871ffa2032491617a", "path": "rtl/e203/perips/apb_spi_master/apb_spi_master.v", "sha256": "ff7fe26e7f54bbea8961d9edf94c1d0ca78e62eb12f63ab961d7322cfdade4ed"}} {"question": "For sirv_ResetCatchAndSync, does mapping the RTL to the netlist preserve every signal, and how does that line up with the size and makeup of the module's DFG (data flow graph)?", "answer": "In sirv_ResetCatchAndSync, all 13 RTL signals map to the netlist with an alignment score of 100.0 and no unmapped signals, and the netlist has 19 wires and 0 cells. The DFG matches this small structure: it has 7 nodes and 15 edges, made up of 1 $mux, 1 $not, 1 sirv_AsyncResetRegVec_36 instance, 3 input ports and 1 output port.", "source_file": "github_repos/riscv-mcu_e203_hbirdv2/rtl/e203/perips/sirv_ResetCatchAndSync.v", "module_name": "sirv_ResetCatchAndSync", "tool_name": "cross_stage_mapper+graph_extractor", "tool_parameters": [{}, {"graph_type": "DFG"}], "tool_result": "[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"reset_n_catch_reg_io_d\": [\n \"reset_n_catch_reg_io_d\"\n ],\n \"reset_n_catch_reg_reset\": [\n \"reset_n_catch_reg_reset\"\n ],\n \"T_7\": [\n \"T_7\"\n ],\n \"io_sync_reset\": [\n \"io_sync_reset\"\n ],\n \"T_6\": [\n \"T_6\"\n ],\n \"clock\": [\n \"clock\",\n \"reset_n_catch_reg_clock\"\n ],\n \"T_8\": [\n \"T_8\"\n ],\n \"reset_n_catch_reg_clock\": [\n \"reset_n_catch_reg_clock\"\n ],\n \"T_9\": [\n \"T_9\"\n ],\n \"reset_n_catch_reg_io_q\": [\n \"reset_n_catch_reg_io_q\"\n ],\n \"reset_n_catch_reg_io_en\": [\n \"reset_n_catch_reg_io_en\"\n ],\n \"test_mode\": [\n \"test_mode\"\n ],\n \"reset\": [\n \"reset_n_catch_reg_reset\",\n \"reset_n_catch_reg_clock\",\n \"reset_n_catch_reg_io_q\",\n \"reset_n_catch_reg_io_d\",\n \"reset\"\n ]\n },\n \"alignment_score\": 100.0,\n \"unmapped_elements\": [],\n \"mapping_statistics\": {\n \"rtl_signals\": 13,\n \"netlist_wires\": 19,\n \"netlist_cells\": 0,\n \"mapped_signals\": 13,\n \"unmapped_signals\": 0\n },\n \"error\": null\n}\n\n[graph_extractor {\"graph_type\": \"DFG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"DFG\",\n...[1765 chars elided]...\n \"node_count\": 7,\n \"edge_count\": 15,\n \"graph_properties\": {\n \"node_types\": {\n \"$mux\": 1,\n \"$not\": 1,\n \"sirv_AsyncResetRegVec_36\": 1,\n \"port_input\": 3,\n \"port_output\": 1\n },\n \"avg_degree\": 2.14,\n \"module_name\": \"sirv_ResetCatchAndSync\"\n },\n \"error\": null\n}", "category": "multi_tool", "subcategory": "cross_stage_mapper+graph_extractor", "difficulty": "compositional", "question_hash": "83ab322788e9", "stage1_target": "[{\"tool\": \"cross_stage_mapper\", \"parameters\": {}}, {\"tool\": \"graph_extractor\", \"parameters\": {\"graph_type\": \"DFG\"}}]", "stage2_context": "Question: For sirv_ResetCatchAndSync, does mapping the RTL to the netlist preserve every signal, and how does that line up with the size and makeup of the module's DFG (data flow graph)?\n\n[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"reset_n_catch_reg_io_d\": [\n \"reset_n_catch_reg_io_d\"\n ],\n \"reset_n_catch_reg_reset\": [\n \"reset_n_catch_reg_reset\"\n ],\n \"T_7\": [\n \"T_7\"\n ],\n \"io_sync_reset\": [\n \"io_sync_reset\"\n ],\n \"T_6\": [\n \"T_6\"\n ],\n \"clock\": [\n \"clock\",\n \"reset_n_catch_reg_clock\"\n ],\n \"T_8\": [\n \"T_8\"\n ],\n \"reset_n_catch_reg_clock\": [\n \"reset_n_catch_reg_clock\"\n ],\n \"T_9\": [\n \"T_9\"\n ],\n \"reset_n_catch_reg_io_q\": [\n \"reset_n_catch_reg_io_q\"\n ],\n \"reset_n_catch_reg_io_en\": [\n \"reset_n_catch_reg_io_en\"\n ],\n \"test_mode\": [\n \"test_mode\"\n ],\n \"reset\": [\n \"reset_n_catch_reg_reset\",\n \"reset_n_catch_reg_clock\",\n \"reset_n_catch_reg_io_q\",\n \"reset_n_catch_reg_io_d\",\n \"reset\"\n ]\n },\n \"alignment_score\": 100.0,\n \"unmapped_elements\": [],\n \"mapping_statistics\": {\n \"rtl_signals\": 13,\n \"netlist_wires\": 19,\n \"netlist_cells\": 0,\n \"mapped_signals\": 13,\n \"unmapped_signals\": 0\n },\n \"error\": null\n}\n\n[graph_extractor {\"graph_type\": \"DFG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"DFG\",\n...[1765 chars elided]...\n \"node_count\": 7,\n \"edge_count\": 15,\n \"graph_properties\": {\n \"node_types\": {\n \"$mux\": 1,\n \"$not\": 1,\n \"sirv_AsyncResetRegVec_36\": 1,\n \"port_input\": 3,\n \"port_output\": 1\n },\n \"avg_degree\": 2.14,\n \"module_name\": \"sirv_ResetCatchAndSync\"\n },\n \"error\": null\n}", "plan_id": "a94826099cef", "design_id": "110216c0335d", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/riscv-mcu/e203_hbirdv2", "commit": "9f3e34f337f5d0a1236a285871ffa2032491617a", "path": "rtl/e203/perips/sirv_ResetCatchAndSync.v", "sha256": "b6d9378451815c6ba48c86ad32d6ee5d67b337ea01e0dd61fb956800c8516e4c"}} {"question": "In NV_NVDLA_CDP_DP_cvtout, how do the register cells in the CDFG compare with the flip-flops that come out of synthesis at medium optimization, and is the number of HLS_cdp_ocvt converter instances the same in both? Please also give the synthesized area and delay.", "answer": "The CDFG of NV_NVDLA_CDP_DP_cvtout has 159 nodes, including 9 $adff, 4 $dffe and 3 $adffe word-level register cells and 4 HLS_cdp_ocvt instances. After medium-effort synthesis, those registers are split into bit-level cells: 88 $_DFF_PN0_, 65 $_DFFE_PN0P_ and 15 $_DFFE_PP_. The 4 HLS_cdp_ocvt instances stay as black boxes, and the design comes to 570 gates with an area of 613.5 and a delay of 327.05.", "source_file": "github_repos/nvdla_hw/vmod/nvdla/cdp/NV_NVDLA_CDP_DP_cvtout.v", "module_name": "NV_NVDLA_CDP_DP_cvtout", "tool_name": "graph_extractor+synthesis_tool", "tool_parameters": [{"graph_type": "CDFG"}, {"optimization_level": "medium"}], "tool_result": "[graph_extractor {\"graph_type\": \"CDFG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"CDFG\",\n...[53576 chars elided]...\n \"node_count\": 159,\n \"edge_count\": 1936,\n \"graph_properties\": {\n \"node_types\": {\n \"$logic_not\": 4,\n \"$logic_or\": 4,\n \"$mux\": 9,\n \"$logic_and\": 4,\n \"$dffe\": 4,\n \"$adff\": 9,\n \"port_input\": 32,\n \"port_output\": 18,\n \"$and\": 45,\n \"$eq\": 1,\n \"$not\": 5,\n \"$reduce_and\": 4,\n \"$or\": 1,\n \"$add\": 8,\n \"$adffe\": 3,\n \"NV_NVDLA_CDP_DP_CVTOUT_pipe_p1\": 1,\n \"NV_NVDLA_CDP_DP_CVTOUT_pipe_p2\": 1,\n \"NV_NVDLA_CDP_DP_CVTOUT_pipe_p3\": 1,\n \"NV_NVDLA_CDP_DP_CVTOUT_pipe_p4\": 1,\n \"HLS_cdp_ocvt\": 4\n },\n \"avg_degree\": 12.18,\n \"module_name\": \"NV_NVDLA_CDP_DP_cvtout\"\n },\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 613.5,\n \"delay\": 327.05,\n \"power\": 0.57,\n \"gate_count\": 570,\n \"cell_breakdown\": {\n \"$_AND_\": 216,\n \"$_DFFE_PP_\": 15,\n \"$_DFF_PN0_\": 88,\n \"$_NOT_\": 1,\n \"$_ORNOT_\": 1,\n \"$_OR_\": 7,\n \"$_ANDNOT_\": 7,\n \"$_DFFE_PN0P_\": 65,\n \"$_NAND_\": 18,\n \"$_NOR_\": 34,\n \"$_XNOR_\": 35,\n \"$_XOR_\": 10,\n \"HLS_cdp_ocvt\": 4,\n \"NV_NVDLA_CDP_DP_CVTOUT_pipe_p1\": 1,\n \"NV_NVDLA_CDP_\n...[1520 chars elided]...\n \"error\": null\n}", "category": "multi_tool", "subcategory": "graph_extractor+synthesis_tool", "difficulty": "compositional", "question_hash": "2937978fa2e6", "stage1_target": "[{\"tool\": \"graph_extractor\", \"parameters\": {\"graph_type\": \"CDFG\"}}, {\"tool\": \"synthesis_tool\", \"parameters\": {\"optimization_level\": \"medium\"}}]", "stage2_context": "Question: In NV_NVDLA_CDP_DP_cvtout, how do the register cells in the CDFG compare with the flip-flops that come out of synthesis at medium optimization, and is the number of HLS_cdp_ocvt converter instances the same in both? Please also give the synthesized area and delay.\n\n[graph_extractor {\"graph_type\": \"CDFG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"CDFG\",\n...[53576 chars elided]...\n \"node_count\": 159,\n \"edge_count\": 1936,\n \"graph_properties\": {\n \"node_types\": {\n \"$logic_not\": 4,\n \"$logic_or\": 4,\n \"$mux\": 9,\n \"$logic_and\": 4,\n \"$dffe\": 4,\n \"$adff\": 9,\n \"port_input\": 32,\n \"port_output\": 18,\n \"$and\": 45,\n \"$eq\": 1,\n \"$not\": 5,\n \"$reduce_and\": 4,\n \"$or\": 1,\n \"$add\": 8,\n \"$adffe\": 3,\n \"NV_NVDLA_CDP_DP_CVTOUT_pipe_p1\": 1,\n \"NV_NVDLA_CDP_DP_CVTOUT_pipe_p2\": 1,\n \"NV_NVDLA_CDP_DP_CVTOUT_pipe_p3\": 1,\n \"NV_NVDLA_CDP_DP_CVTOUT_pipe_p4\": 1,\n \"HLS_cdp_ocvt\": 4\n },\n \"avg_degree\": 12.18,\n \"module_name\": \"NV_NVDLA_CDP_DP_cvtout\"\n },\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 613.5,\n \"delay\": 327.05,\n \"power\": 0.57,\n \"gate_count\": 570,\n \"cell_breakdown\": {\n \"$_AND_\": 216,\n \"$_DFFE_PP_\": 15,\n \"$_DFF_PN0_\": 88,\n \"$_NOT_\": 1,\n \"$_ORNOT_\": 1,\n \"$_OR_\": 7,\n \"$_ANDNOT_\": 7,\n \"$_DFFE_PN0P_\": 65,\n \"$_NAND_\": 18,\n \"$_NOR_\": 34,\n \"$_XNOR_\": 35,\n \"$_XOR_\": 10,\n \"HLS_cdp_ocvt\": 4,\n \"NV_NVDLA_CDP_DP_CVTOUT_pipe_p1\": 1,\n \"NV_NVDLA_CDP_\n...[1520 chars elided]...\n \"error\": null\n}", "plan_id": "5832a9be5ed7", "design_id": "118b3a0fd82a", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/nvdla/hw", "commit": "8e06b1b9d85aab65b40d43d08eec5ea4681ff715", "path": "vmod/nvdla/cdp/NV_NVDLA_CDP_DP_cvtout.v", "sha256": "66d049b6a344b07b369d6c40283bb6cc98892e14cda22b951e28566d44cdd5f9"}} {"question": "For NV_NVDLA_CDP_RDMA_REG_single, how well do the RTL signals line up with the synthesized netlist, and given the synthesized size, delay, and flip-flop count, does it look like the unmapped signals point to logic that synthesis removed?", "answer": "In NV_NVDLA_CDP_RDMA_REG_single, 15 of 20 RTL signals map to the netlist, an alignment score of 75.0. The 5 unmapped signals include producer, nvdla_cdp_rdma_s_status_0_wren and the arreggen debug/abort signals. This fits the medium-effort synthesis result: only 22 gates (area 23.0, delay 116.04) with a single $_DFFE_PN0P_ flip-flop, which suggests the producer register and the read-only status write-enable were optimized away or merged.", "source_file": "github_repos/nvdla_hw/vmod/nvdla/cdp/NV_NVDLA_CDP_RDMA_REG_single.v", "module_name": "NV_NVDLA_CDP_RDMA_REG_single", "tool_name": "cross_stage_mapper+synthesis_tool", "tool_parameters": [{}, {"optimization_level": "medium"}], "tool_result": "[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"arreggen_dump\": [],\n \"wr\": [\n \"nvdla_cdp_rdma_s_pointer_0_wren\",\n \"reg_offset_wr\",\n \"reg_wr_en\",\n \"reg_wr_data\"\n ],\n \"nvdla_cdp_rdma_s_pointer_0_wren\": [\n \"nvdla_cdp_rdma_s_pointer_0_wren\"\n ],\n \"arreggen_abort_on_rowr\": [],\n \"arreggen_abort_on_invalid_wr\": [],\n \"nvdla_core_clk\": [\n \"nvdla_core_clk\"\n ],\n \"status_0\": [\n\n...[283 chars elided]...\n \"reg_offset_wr\"\n ],\n \"consumer\": [\n \"consumer\"\n ],\n \"producer\": [],\n \"reg_offset_rd_int\": [\n \"reg_offset_rd_int\"\n ],\n \"nvdla_cdp_rdma_s_status_0_out\": [\n \"nvdla_cdp_rdma_s_status_0_out\"\n ],\n \"nvdla_cdp_rdma_s_status_0_wren\": [],\n \"nvdla_cdp_rdma_s_pointer_0_out\": [\n \"nvdla_cdp_rdma_s_pointer_0_out\"\n ],\n \"reg_wr_en\": [\n \"reg_wr_en\"\n ],\n \"reg_offset\": [\n \"reg_offset\",\n \"reg_offset_wr\",\n \"reg_offset_rd_int\"\n ]\n },\n \"alignment_score\": 75.0,\n \"unmapped_elements\": [\n \"arreggen_dump\",\n \"arreggen_abort_on_rowr\",\n \"arreggen_abort_on_invalid_wr\",\n \"producer\",\n \"nvdla_cdp_rdma_s_status_0_wren\"\n ],\n \"mapping_statistics\": {\n \"rtl_signals\": 20,\n \"netlist_wires\": 191,\n \"netlist_cells\": 0,\n \"mapped_signals\": 15,\n \"unmapped_signals\": 5\n },\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 23.0,\n \"delay\": 116.04,\n \"power\": 0.022,\n \"gate_count\": 22,\n \"cell_breakdown\": {\n \"$_ANDNOT_\": 2,\n \"$_AND_\": 8,\n \"$_DFFE_PN0P_\": 1,\n \"$_NAND_\": 6,\n \"$_NOR_\": 5\n },\n \"wire_count\": 31,\n \"wire_bits\": 210,\n \"critical_path_estimate\": 116.04,\n...[1171 chars elided]...\n \"error\": null\n}", "category": "multi_tool", "subcategory": "cross_stage_mapper+synthesis_tool", "difficulty": "compositional", "question_hash": "877ca3a21252", "stage1_target": "[{\"tool\": \"cross_stage_mapper\", \"parameters\": {}}, {\"tool\": \"synthesis_tool\", \"parameters\": {\"optimization_level\": \"medium\"}}]", "stage2_context": "Question: For NV_NVDLA_CDP_RDMA_REG_single, how well do the RTL signals line up with the synthesized netlist, and given the synthesized size, delay, and flip-flop count, does it look like the unmapped signals point to logic that synthesis removed?\n\n[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"arreggen_dump\": [],\n \"wr\": [\n \"nvdla_cdp_rdma_s_pointer_0_wren\",\n \"reg_offset_wr\",\n \"reg_wr_en\",\n \"reg_wr_data\"\n ],\n \"nvdla_cdp_rdma_s_pointer_0_wren\": [\n \"nvdla_cdp_rdma_s_pointer_0_wren\"\n ],\n \"arreggen_abort_on_rowr\": [],\n \"arreggen_abort_on_invalid_wr\": [],\n \"nvdla_core_clk\": [\n \"nvdla_core_clk\"\n ],\n \"status_0\": [\n\n...[283 chars elided]...\n \"reg_offset_wr\"\n ],\n \"consumer\": [\n \"consumer\"\n ],\n \"producer\": [],\n \"reg_offset_rd_int\": [\n \"reg_offset_rd_int\"\n ],\n \"nvdla_cdp_rdma_s_status_0_out\": [\n \"nvdla_cdp_rdma_s_status_0_out\"\n ],\n \"nvdla_cdp_rdma_s_status_0_wren\": [],\n \"nvdla_cdp_rdma_s_pointer_0_out\": [\n \"nvdla_cdp_rdma_s_pointer_0_out\"\n ],\n \"reg_wr_en\": [\n \"reg_wr_en\"\n ],\n \"reg_offset\": [\n \"reg_offset\",\n \"reg_offset_wr\",\n \"reg_offset_rd_int\"\n ]\n },\n \"alignment_score\": 75.0,\n \"unmapped_elements\": [\n \"arreggen_dump\",\n \"arreggen_abort_on_rowr\",\n \"arreggen_abort_on_invalid_wr\",\n \"producer\",\n \"nvdla_cdp_rdma_s_status_0_wren\"\n ],\n \"mapping_statistics\": {\n \"rtl_signals\": 20,\n \"netlist_wires\": 191,\n \"netlist_cells\": 0,\n \"mapped_signals\": 15,\n \"unmapped_signals\": 5\n },\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 23.0,\n \"delay\": 116.04,\n \"power\": 0.022,\n \"gate_count\": 22,\n \"cell_breakdown\": {\n \"$_ANDNOT_\": 2,\n \"$_AND_\": 8,\n \"$_DFFE_PN0P_\": 1,\n \"$_NAND_\": 6,\n \"$_NOR_\": 5\n },\n \"wire_count\": 31,\n \"wire_bits\": 210,\n \"critical_path_estimate\": 116.04,\n...[1171 chars elided]...\n \"error\": null\n}", "plan_id": "1b54b9f89350", "design_id": "11da7f61ed07", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/nvdla/hw", "commit": "8e06b1b9d85aab65b40d43d08eec5ea4681ff715", "path": "vmod/nvdla/cdp/NV_NVDLA_CDP_RDMA_REG_single.v", "sha256": "f6cd0b9475c684da045bdf15713c3481b535d4db6b4340ab47a0c28bd0d73347"}} {"question": "For NV_NVDLA_CDP_RDMA_REG_single, how well do the RTL signals line up with the netlist, how big is the CDFG and how many registers does it show, and would a power-targeted optimization flow make sense for this register block?", "answer": "NV_NVDLA_CDP_RDMA_REG_single has an RTL-to-netlist alignment score of 75.0, with 15 signals mapped and 5 unmapped, and its CDFG has 15 nodes and 176 edges, including just 1 $adffe enable flip-flop alongside 1 $pmux. Because that register already has an enable, the power-targeted flow's clock gating ('opt_clean; clockgate') fits the design well and is estimated to give a -25.0 power change, at the cost of 5.0 extra area and delay.", "source_file": "github_repos/nvdla_hw/vmod/nvdla/cdp/NV_NVDLA_CDP_RDMA_REG_single.v", "module_name": "NV_NVDLA_CDP_RDMA_REG_single", "tool_name": "cross_stage_mapper+graph_extractor+optimization_advisor", "tool_parameters": [{}, {"graph_type": "CDFG"}, {"target_metric": "power"}], "tool_result": "[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"arreggen_dump\": [],\n \"wr\": [\n \"nvdla_cdp_rdma_s_pointer_0_wren\",\n \"reg_offset_wr\",\n \"reg_wr_en\",\n \"reg_wr_data\"\n ],\n \"nvdla_cdp_rdma_s_pointer_0_wren\": [\n \"nvdla_cdp_rdma_s_pointer_0_wren\"\n \n...[733 chars elided]...\nter_0_out\": [\n \"nvdla_cdp_rdma_s_pointer_0_out\"\n ],\n \"reg_wr_en\": [\n \"reg_wr_en\"\n ],\n \"reg_offset\": [\n \"reg_offset\",\n \"reg_offset_wr\",\n \"reg_offset_rd_int\"\n ]\n },\n \"alignment_score\": 75.0,\n \"unmapped_elements\": [\n \"arreggen_dump\",\n \"arreggen_abort_on_rowr\",\n \"arreggen_abort_on_invalid_wr\",\n \"producer\",\n \"nvdla_cdp_rdma_s_status_0_wren\"\n ],\n \"mapping_statistics\": {\n \"rtl_signals\": 20,\n \"netlist_wires\": 191,\n \"netlist_cells\": 0,\n \"mapped_signals\": 15,\n \"unmapped_signals\": 5\n },\n \"error\": null\n}\n\n[graph_extractor {\"graph_type\": \"CDFG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"CDFG\",\n...[18699 chars elided]...\n \"node_count\": 15,\n \"edge_count\": 176,\n \"graph_properties\": {\n \"node_types\": {\n \"$and\": 1,\n \"$adffe\": 1,\n \"$pmux\": 1,\n \"$logic_not\": 1,\n \"$eq\": 1,\n \"port_output\": 2,\n \"port_input\": 8\n },\n \"avg_degree\": 11.73,\n \"module_name\": \"NV_NVDLA_CDP_RDMA_REG_single\"\n },\n \"error\": null\n}\n\n[optimization_advisor {\"target_metric\": \"power\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"power\",\n \"recommended_recipes\": [\n \"synth -top NV_NVDLA_CDP_RDMA_REG_single\",\n \"opt; share; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean; clockgate\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"clock_gating\",\n \"description\": \"Insert clock gating for registers\",\n \"command\": \"clockgate\"\n },\n {\n \"type\": \"operand_isolation\",\n \"description\": \"Isolate operands when not in use\",\n \"command\": \"Use enable signals for arithmetic\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": 5.0,\n \"delay\": 5.0,\n \"power\": -25.0\n },\n \"trade_offs\": [\n \"Power optimization may add area overhead\",\n \"Clock gating adds timing complexity\"\n ],\n \"error\": null\n}", "category": "multi_tool", "subcategory": "cross_stage_mapper+graph_extractor+optimization_advisor", "difficulty": "compositional", "question_hash": "1a25db049864", "stage1_target": "[{\"tool\": \"cross_stage_mapper\", \"parameters\": {}}, {\"tool\": \"graph_extractor\", \"parameters\": {\"graph_type\": \"CDFG\"}}, {\"tool\": \"optimization_advisor\", \"parameters\": {\"target_metric\": \"power\"}}]", "stage2_context": "Question: For NV_NVDLA_CDP_RDMA_REG_single, how well do the RTL signals line up with the netlist, how big is the CDFG and how many registers does it show, and would a power-targeted optimization flow make sense for this register block?\n\n[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"arreggen_dump\": [],\n \"wr\": [\n \"nvdla_cdp_rdma_s_pointer_0_wren\",\n \"reg_offset_wr\",\n \"reg_wr_en\",\n \"reg_wr_data\"\n ],\n \"nvdla_cdp_rdma_s_pointer_0_wren\": [\n \"nvdla_cdp_rdma_s_pointer_0_wren\"\n \n...[733 chars elided]...\nter_0_out\": [\n \"nvdla_cdp_rdma_s_pointer_0_out\"\n ],\n \"reg_wr_en\": [\n \"reg_wr_en\"\n ],\n \"reg_offset\": [\n \"reg_offset\",\n \"reg_offset_wr\",\n \"reg_offset_rd_int\"\n ]\n },\n \"alignment_score\": 75.0,\n \"unmapped_elements\": [\n \"arreggen_dump\",\n \"arreggen_abort_on_rowr\",\n \"arreggen_abort_on_invalid_wr\",\n \"producer\",\n \"nvdla_cdp_rdma_s_status_0_wren\"\n ],\n \"mapping_statistics\": {\n \"rtl_signals\": 20,\n \"netlist_wires\": 191,\n \"netlist_cells\": 0,\n \"mapped_signals\": 15,\n \"unmapped_signals\": 5\n },\n \"error\": null\n}\n\n[graph_extractor {\"graph_type\": \"CDFG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"CDFG\",\n...[18699 chars elided]...\n \"node_count\": 15,\n \"edge_count\": 176,\n \"graph_properties\": {\n \"node_types\": {\n \"$and\": 1,\n \"$adffe\": 1,\n \"$pmux\": 1,\n \"$logic_not\": 1,\n \"$eq\": 1,\n \"port_output\": 2,\n \"port_input\": 8\n },\n \"avg_degree\": 11.73,\n \"module_name\": \"NV_NVDLA_CDP_RDMA_REG_single\"\n },\n \"error\": null\n}\n\n[optimization_advisor {\"target_metric\": \"power\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"power\",\n \"recommended_recipes\": [\n \"synth -top NV_NVDLA_CDP_RDMA_REG_single\",\n \"opt; share; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean; clockgate\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"clock_gating\",\n \"description\": \"Insert clock gating for registers\",\n \"command\": \"clockgate\"\n },\n {\n \"type\": \"operand_isolation\",\n \"description\": \"Isolate operands when not in use\",\n \"command\": \"Use enable signals for arithmetic\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": 5.0,\n \"delay\": 5.0,\n \"power\": -25.0\n },\n \"trade_offs\": [\n \"Power optimization may add area overhead\",\n \"Clock gating adds timing complexity\"\n ],\n \"error\": null\n}", "plan_id": "bdd0d4b670b1", "design_id": "11da7f61ed07", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 3, "ctx_cap": 3300, "source": {"repository": "https://github.com/nvdla/hw", "commit": "8e06b1b9d85aab65b40d43d08eec5ea4681ff715", "path": "vmod/nvdla/cdp/NV_NVDLA_CDP_RDMA_REG_single.v", "sha256": "f6cd0b9475c684da045bdf15713c3481b535d4db6b4340ab47a0c28bd0d73347"}} {"question": "For RAMPDP_64X116_GL_M1_D2, how well do the RTL signals line up with the synthesized netlist, and does the medium-effort synthesis result help explain why so many RTL signals are left unmapped, given how its cells are split between storage and logic?", "answer": "In RAMPDP_64X116_GL_M1_D2, only 67 of the 161 RTL signals map to the netlist, which gives an alignment score of 41.61, and 94 signals remain unmapped, including memout, dout_LAT and many Q_* outputs. Medium-effort synthesis yields 22839 gates over an area of 30814.5, and the cells are dominated by 7424 $_DLATCH_N_ latches and 7488 $_NAND_ gates, with only 123 $_DFF_P_ flops. This suggests the memory array was flattened into latch-and-gate structures that no longer keep the RTL signal names.", "source_file": "github_repos/nvdla_hw/vmod/rams/model/RAMPDP_64X116_GL_M1_D2.v", "module_name": "RAMPDP_64X116_GL_M1_D2", "tool_name": "cross_stage_mapper+synthesis_tool", "tool_parameters": [{}, {"optimization_level": "medium"}], "tool_result": "[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"Q_15\": [],\n \"RADR\": [\n \"RADR_2\",\n \"RADR_3\",\n \"RADR_0\",\n \"RADR_1\",\n \"RADRCLK\"\n ],\n \"fuseien\": [\n \"fuseien\"\n ],\n \"outvalid\": [],\n \"Q_45\": [],\n \"Q_7\": [],\n \"r\": [\n \"clobber_array\",\n \"rdarr\",\n \"bre\",\n \"WDBQ_pr\",\n \"sel_redun\"\n ],\n \"bits\": [],\n \"Q_34\": [],\n \"Q_54\": [],\n \"Q_47\": [],\n \"\n...[4289 chars elided]...\n],\n \"paddr\": [],\n \"RD_LAT\": [],\n \"clobber_flops\": [\n \"clobber_flops\"\n ],\n \"WDBQ\": [\n \"WDBQ_pr\",\n \"WDBQ\"\n ],\n \"Q_6\": [],\n \"c\": [\n \"clobber_array\",\n \"wrclk\",\n \"clobber_x\",\n \"latffclk\",\n \"clamp_rd\"\n ],\n \"Q_8\": [],\n \"Q_51\": [],\n \"Q_16\": [],\n \"Q_42\": [],\n \"Q_27\": [],\n \"Q_38\": []\n },\n \"alignment_score\": 41.61,\n \"unmapped_elements\": [\n \"Q_15\",\n \"outvalid\",\n \"Q_45\",\n \"Q_7\",\n \"bits\",\n \"Q_34\",\n \"Q_54\",\n \"Q_47\",\n \"memout\",\n \"dout_LAT\",\n \"Q_9\",\n \"dump_monitor_result\",\n \"WD_FF\",\n \"Q_0\",\n \"Q_62\",\n \"rd_row\",\n \"Q_18\",\n \"Q_20\",\n \"raminit_active\",\n \"Q_57\"\n ],\n \"mapping_statistics\": {\n \"rtl_signals\": 161,\n \"netlist_wires\": 32350,\n \"netlist_cells\": 0,\n \"mapped_signals\": 67,\n \"unmapped_signals\": 94\n },\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 30814.5,\n \"delay\": 624.92,\n \"power\": 22.839,\n \"gate_count\": 22839,\n \"cell_breakdown\": {\n \"$_ANDNOT_\": 116,\n \"$_AND_\": 4,\n \"$_DLATCH_N_\": 7424,\n \"$_NAND_\": 7488,\n \"$_NOR_\": 3,\n \"$_DFF_P_\": 123,\n \"$_DLATCH_P_\": 126,\n \"$_NOT_\": 3,\n \"$paramod$0fe7be0e0298849dfdabdbe6fd2b8b69f4407a5f\\\\RAMPDP_64X116_GL_M1_D2_ram\": 1,\n \"RAM_BANK_RAMPDP_64X116_GL_M1_D2\": 1\n },\n \"wire_cou\n...[1395 chars elided]...\n \"error\": null\n}", "category": "multi_tool", "subcategory": "cross_stage_mapper+synthesis_tool", "difficulty": "compositional", "question_hash": "77bf40bb13ce", "stage1_target": "[{\"tool\": \"cross_stage_mapper\", \"parameters\": {}}, {\"tool\": \"synthesis_tool\", \"parameters\": {\"optimization_level\": \"medium\"}}]", "stage2_context": "Question: For RAMPDP_64X116_GL_M1_D2, how well do the RTL signals line up with the synthesized netlist, and does the medium-effort synthesis result help explain why so many RTL signals are left unmapped, given how its cells are split between storage and logic?\n\n[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"Q_15\": [],\n \"RADR\": [\n \"RADR_2\",\n \"RADR_3\",\n \"RADR_0\",\n \"RADR_1\",\n \"RADRCLK\"\n ],\n \"fuseien\": [\n \"fuseien\"\n ],\n \"outvalid\": [],\n \"Q_45\": [],\n \"Q_7\": [],\n \"r\": [\n \"clobber_array\",\n \"rdarr\",\n \"bre\",\n \"WDBQ_pr\",\n \"sel_redun\"\n ],\n \"bits\": [],\n \"Q_34\": [],\n \"Q_54\": [],\n \"Q_47\": [],\n \"\n...[4289 chars elided]...\n],\n \"paddr\": [],\n \"RD_LAT\": [],\n \"clobber_flops\": [\n \"clobber_flops\"\n ],\n \"WDBQ\": [\n \"WDBQ_pr\",\n \"WDBQ\"\n ],\n \"Q_6\": [],\n \"c\": [\n \"clobber_array\",\n \"wrclk\",\n \"clobber_x\",\n \"latffclk\",\n \"clamp_rd\"\n ],\n \"Q_8\": [],\n \"Q_51\": [],\n \"Q_16\": [],\n \"Q_42\": [],\n \"Q_27\": [],\n \"Q_38\": []\n },\n \"alignment_score\": 41.61,\n \"unmapped_elements\": [\n \"Q_15\",\n \"outvalid\",\n \"Q_45\",\n \"Q_7\",\n \"bits\",\n \"Q_34\",\n \"Q_54\",\n \"Q_47\",\n \"memout\",\n \"dout_LAT\",\n \"Q_9\",\n \"dump_monitor_result\",\n \"WD_FF\",\n \"Q_0\",\n \"Q_62\",\n \"rd_row\",\n \"Q_18\",\n \"Q_20\",\n \"raminit_active\",\n \"Q_57\"\n ],\n \"mapping_statistics\": {\n \"rtl_signals\": 161,\n \"netlist_wires\": 32350,\n \"netlist_cells\": 0,\n \"mapped_signals\": 67,\n \"unmapped_signals\": 94\n },\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 30814.5,\n \"delay\": 624.92,\n \"power\": 22.839,\n \"gate_count\": 22839,\n \"cell_breakdown\": {\n \"$_ANDNOT_\": 116,\n \"$_AND_\": 4,\n \"$_DLATCH_N_\": 7424,\n \"$_NAND_\": 7488,\n \"$_NOR_\": 3,\n \"$_DFF_P_\": 123,\n \"$_DLATCH_P_\": 126,\n \"$_NOT_\": 3,\n \"$paramod$0fe7be0e0298849dfdabdbe6fd2b8b69f4407a5f\\\\RAMPDP_64X116_GL_M1_D2_ram\": 1,\n \"RAM_BANK_RAMPDP_64X116_GL_M1_D2\": 1\n },\n \"wire_cou\n...[1395 chars elided]...\n \"error\": null\n}", "plan_id": "1d3b2b2127c0", "design_id": "14b9ee7c3f2f", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/nvdla/hw", "commit": "8e06b1b9d85aab65b40d43d08eec5ea4681ff715", "path": "vmod/rams/model/RAMPDP_64X116_GL_M1_D2.v", "sha256": "43316937ffdf8f4480f306ce6a4e46b3a9ef0f13a87ddbb82820d86907f0e00e"}} {"question": "For UINT16_TO_FP17_mgc_in_wire_wait_v1, how does the AIG compare with the structural statistics of the source? Specifically, does the AIG's node and edge count match a design with this many ports, always blocks and instantiated submodules, and what does that say about how much logic the wrapper itself contains?", "answer": "The AIG of UINT16_TO_FP17_mgc_in_wire_wait_v1 has only 6 nodes (3 port_input and 3 port_output: ld, vd, d, lz, vz, z) and 0 edges, with an average degree of 0.0. That means the module is a pure wire pass-through with no gate logic of its own. The source statistics are much larger (130 total ports, 13 always blocks, 84 assign statements, 823 lines of code, cyclomatic complexity 56, and instantiations such as HLS_uint16_to_fp17_core and UINT16_TO_FP17_leading_sign_16_0), so they describe the whole surrounding HLS file rather than this small handshake wrapper.", "source_file": "github_repos/nvdla_hw/vmod/vlibs/HLS_uint16_to_fp17.v", "module_name": "UINT16_TO_FP17_mgc_in_wire_wait_v1", "tool_name": "graph_extractor+static_analyzer", "tool_parameters": [{"graph_type": "AIG"}, {"analysis_type": "full"}], "tool_result": "[graph_extractor {\"graph_type\": \"AIG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"AIG\",\n \"node_count\": 6,\n \"edge_count\": 0,\n \"graph_properties\": {\n \"node_types\": {\n \"port_input\": 3,\n \"port_output\": 3\n },\n \"avg_degree\": 0.0,\n \"module_name\": \"UINT16_TO_FP17_mgc_in_wire_wait_v1\"\n },\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"UINT16_TO_FP17_mgc_in_wire_wait_v1\",\n \"port_count\": {\n \"inputs\": 93,\n \"outputs\": 37,\n \"inouts\": 0,\n \"total\": 130\n },\n \"signal_count\": {\n \"wires\": 64,\n \"regs\": 25,\n \"parameters\": 12,\n \"total\": 89\n },\n \"always_blocks\": 13,\n \"assign_statements\": 84,\n \"instantiations\": [\n \"HLS_uint16_to_fp17_core\",\n \"HLS_uint16_to_fp17_core_chn_o_rsci_chn_o_wait_dp\",\n \"HLS_uint16_to_fp17_core_core_fsm_1\",\n \"HLS_uint16_to_fp17_core_chn_a_rsci_chn_a_wait_ctrl\",\n \"HLS_uint16_to_fp17_core_chn_a_rsci_chn_a_wait_dp\",\n \"HLS_uint16_to_fp17_core_chn_o_rsci\",\n \"HLS_uint16_to_fp17_core_staller\",\n \"UINT16_TO_FP17_chn_a_rsci_unreg\",\n \"UINT16_TO_FP17_leading_sign_16_0\",\n \"HLS_uint16_to_fp17_core_core_fsm\",\n \"UINT16_TO_FP17_chn_o_rsci_unreg\",\n \"generate\",\n \"HLS_uint16_to_fp17_core_chn_o_rsci_chn_o_wait_ctrl\",\n \"HLS_uint16_to_fp17_core_chn_a_rsci\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 823,\n \"total_lines\": 1079,\n \"cyclomatic_complexity\": 56,\n \"nesting_depth\": 62,\n \"operator_count\": 2977\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "category": "multi_tool", "subcategory": "graph_extractor+static_analyzer", "difficulty": "compositional", "question_hash": "23b887dc5aa4", "stage1_target": "[{\"tool\": \"graph_extractor\", \"parameters\": {\"graph_type\": \"AIG\"}}, {\"tool\": \"static_analyzer\", \"parameters\": {\"analysis_type\": \"full\"}}]", "stage2_context": "Question: For UINT16_TO_FP17_mgc_in_wire_wait_v1, how does the AIG compare with the structural statistics of the source? Specifically, does the AIG's node and edge count match a design with this many ports, always blocks and instantiated submodules, and what does that say about how much logic the wrapper itself contains?\n\n[graph_extractor {\"graph_type\": \"AIG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"AIG\",\n \"node_count\": 6,\n \"edge_count\": 0,\n \"graph_properties\": {\n \"node_types\": {\n \"port_input\": 3,\n \"port_output\": 3\n },\n \"avg_degree\": 0.0,\n \"module_name\": \"UINT16_TO_FP17_mgc_in_wire_wait_v1\"\n },\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"UINT16_TO_FP17_mgc_in_wire_wait_v1\",\n \"port_count\": {\n \"inputs\": 93,\n \"outputs\": 37,\n \"inouts\": 0,\n \"total\": 130\n },\n \"signal_count\": {\n \"wires\": 64,\n \"regs\": 25,\n \"parameters\": 12,\n \"total\": 89\n },\n \"always_blocks\": 13,\n \"assign_statements\": 84,\n \"instantiations\": [\n \"HLS_uint16_to_fp17_core\",\n \"HLS_uint16_to_fp17_core_chn_o_rsci_chn_o_wait_dp\",\n \"HLS_uint16_to_fp17_core_core_fsm_1\",\n \"HLS_uint16_to_fp17_core_chn_a_rsci_chn_a_wait_ctrl\",\n \"HLS_uint16_to_fp17_core_chn_a_rsci_chn_a_wait_dp\",\n \"HLS_uint16_to_fp17_core_chn_o_rsci\",\n \"HLS_uint16_to_fp17_core_staller\",\n \"UINT16_TO_FP17_chn_a_rsci_unreg\",\n \"UINT16_TO_FP17_leading_sign_16_0\",\n \"HLS_uint16_to_fp17_core_core_fsm\",\n \"UINT16_TO_FP17_chn_o_rsci_unreg\",\n \"generate\",\n \"HLS_uint16_to_fp17_core_chn_o_rsci_chn_o_wait_ctrl\",\n \"HLS_uint16_to_fp17_core_chn_a_rsci\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 823,\n \"total_lines\": 1079,\n \"cyclomatic_complexity\": 56,\n \"nesting_depth\": 62,\n \"operator_count\": 2977\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "plan_id": "443bb2debee6", "design_id": "1dfa6f14c5bc", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/nvdla/hw", "commit": "8e06b1b9d85aab65b40d43d08eec5ea4681ff715", "path": "vmod/vlibs/HLS_uint16_to_fp17.v", "sha256": "063de8c0b936a9058307d5de6cb9e41da5b5c050bab6f1feee44d94388b7c9cf"}} {"question": "For riscv_divider, I'd like to make it smaller in area. How complex is the control logic, and how much area reduction should I expect from the area-oriented flow? What delay penalty comes with it?", "answer": "riscv_divider has 4 always blocks, cyclomatic complexity 20, nesting depth 6 and 824 operators, so there is plenty of mux and arithmetic logic that sharing can work on. The area-oriented recipe uses 'share -aggressive' and 'muxcover; opt' and is estimated to change area by -15.0. The cost is an estimated delay change of 5.0, plus more routing complexity from the aggressive sharing.", "source_file": "github_repos/ultraembedded_riscv/core/riscv/riscv_divider.v", "module_name": "riscv_divider", "tool_name": "optimization_advisor+static_analyzer", "tool_parameters": [{"target_metric": "area"}, {"analysis_type": "full"}], "tool_result": "[optimization_advisor {\"target_metric\": \"area\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"area\",\n \"recommended_recipes\": [\n \"synth -top riscv_divider -flatten\",\n \"opt -full; share -aggressive; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean -purge\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"mux_optimization\",\n \"description\": \"Share multiplexers where possible\",\n \"command\": \"muxcover; opt\"\n },\n {\n \"type\": \"resource_sharing\",\n \"description\": \"Share arithmetic operators\",\n \"command\": \"share -aggressive\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": -15.0,\n \"delay\": 5.0,\n \"power\": -10.0\n },\n \"trade_offs\": [\n \"Area optimization may increase delay\",\n \"Aggressive sharing increases routing complexity\"\n ],\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"riscv_divider\",\n \"port_count\": {\n \"inputs\": 4,\n \"outputs\": 1,\n \"inouts\": 0,\n \"total\": 5\n },\n \"signal_count\": {\n \"wires\": 9,\n \"regs\": 10,\n \"parameters\": 0,\n \"total\": 19\n },\n \"always_blocks\": 4,\n \"assign_statements\": 2,\n \"instantiations\": [\n \"CONSEQUENTIAL\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 102,\n \"total_lines\": 180,\n \"cyclomatic_complexity\": 20,\n \"nesting_depth\": 6,\n \"operator_count\": 824\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "category": "multi_tool", "subcategory": "optimization_advisor+static_analyzer", "difficulty": "compositional", "question_hash": "330e8d1fd42a", "stage1_target": "[{\"tool\": \"optimization_advisor\", \"parameters\": {\"target_metric\": \"area\"}}, {\"tool\": \"static_analyzer\", \"parameters\": {\"analysis_type\": \"full\"}}]", "stage2_context": "Question: For riscv_divider, I'd like to make it smaller in area. How complex is the control logic, and how much area reduction should I expect from the area-oriented flow? What delay penalty comes with it?\n\n[optimization_advisor {\"target_metric\": \"area\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"area\",\n \"recommended_recipes\": [\n \"synth -top riscv_divider -flatten\",\n \"opt -full; share -aggressive; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean -purge\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"mux_optimization\",\n \"description\": \"Share multiplexers where possible\",\n \"command\": \"muxcover; opt\"\n },\n {\n \"type\": \"resource_sharing\",\n \"description\": \"Share arithmetic operators\",\n \"command\": \"share -aggressive\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": -15.0,\n \"delay\": 5.0,\n \"power\": -10.0\n },\n \"trade_offs\": [\n \"Area optimization may increase delay\",\n \"Aggressive sharing increases routing complexity\"\n ],\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"riscv_divider\",\n \"port_count\": {\n \"inputs\": 4,\n \"outputs\": 1,\n \"inouts\": 0,\n \"total\": 5\n },\n \"signal_count\": {\n \"wires\": 9,\n \"regs\": 10,\n \"parameters\": 0,\n \"total\": 19\n },\n \"always_blocks\": 4,\n \"assign_statements\": 2,\n \"instantiations\": [\n \"CONSEQUENTIAL\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 102,\n \"total_lines\": 180,\n \"cyclomatic_complexity\": 20,\n \"nesting_depth\": 6,\n \"operator_count\": 824\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "plan_id": "6c8082d0ca63", "design_id": "223f9ac736d3", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/ultraembedded/riscv", "commit": "7ae6f803e30f78c6ea3121e73c3adf50ff912730", "path": "core/riscv/riscv_divider.v", "sha256": "41e1a02fdfe635a8dd9c17c4c7dbf303e4c9c0d2f624e74aa8df06789b97d402"}} {"question": "For module top, does the RTL-to-netlist correspondence look complete, and how does the number of mapped signals compare with the size and cell composition of its CDFG (for example, how many flip-flops it contains)?", "answer": "In module top, all 11 RTL signals map to the netlist with an alignment score of 100.0 and no unmapped elements, so the correspondence is complete. Its CDFG has 19 nodes and 45 edges, and 6 of those nodes are sky130_fd_sc_hd__dfxtp_1 flip-flops.", "source_file": "github_repos/The-OpenROAD-Project_OpenROAD/src/rsz/test/eliminate_dead_logic1.v", "module_name": "top", "tool_name": "cross_stage_mapper+graph_extractor", "tool_parameters": [{}, {"graph_type": "CDFG"}], "tool_result": "[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"rst\": [\n \"rst\"\n ],\n \"clk\": [\n \"clk\"\n ],\n \"_07_\": [\n \"_07_\"\n ],\n \"_08_\": [\n \"_08_\"\n ],\n \"_06_\": [\n \"_06_\"\n ],\n \"_04_\": [\n \"_04_\"\n ],\n \"_02_\": [\n \"_02_\"\n ],\n \"_03_\": [\n \"_03_\"\n ],\n \"_01_\": [\n \"_01_\"\n ],\n \"_00_\": [\n \"_00_\"\n ],\n \"_05_\": [\n \"_05_\"\n ]\n },\n \"alignment_score\": 100.0,\n \"unmapped_elements\": [],\n \"mapping_statistics\": {\n \"rtl_signals\": 11,\n \"netlist_wires\": 11,\n \"netlist_cells\": 0,\n \"mapped_signals\": 11,\n \"unmapped_signals\": 0\n },\n \"error\": null\n}\n\n[graph_extractor {\"graph_type\": \"CDFG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"CDFG\",\n...[6691 chars elided]...\n \"node_count\": 19,\n \"edge_count\": 45,\n \"graph_properties\": {\n \"node_types\": {\n \"sky130_fd_sc_hd__xnor2_1\": 2,\n \"sky130_fd_sc_hd__nor2_1\": 4,\n \"sky130_fd_sc_hd__xor2_1\": 1,\n \"sky130_fd_sc_hd__lpflow_inputiso1p_1\": 1,\n \"sky130_fd_sc_hd__nand2b_1\": 1,\n \"sky130_fd_sc_hd__dfxtp_1\": 6,\n \"port_input\": 2,\n \"port_output\": 2\n },\n \"avg_degree\": 2.37,\n \"module_name\": \"top\"\n },\n \"error\": null\n}", "category": "multi_tool", "subcategory": "cross_stage_mapper+graph_extractor", "difficulty": "compositional", "question_hash": "01e212e01fdd", "stage1_target": "[{\"tool\": \"cross_stage_mapper\", \"parameters\": {}}, {\"tool\": \"graph_extractor\", \"parameters\": {\"graph_type\": \"CDFG\"}}]", "stage2_context": "Question: For module top, does the RTL-to-netlist correspondence look complete, and how does the number of mapped signals compare with the size and cell composition of its CDFG (for example, how many flip-flops it contains)?\n\n[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"rst\": [\n \"rst\"\n ],\n \"clk\": [\n \"clk\"\n ],\n \"_07_\": [\n \"_07_\"\n ],\n \"_08_\": [\n \"_08_\"\n ],\n \"_06_\": [\n \"_06_\"\n ],\n \"_04_\": [\n \"_04_\"\n ],\n \"_02_\": [\n \"_02_\"\n ],\n \"_03_\": [\n \"_03_\"\n ],\n \"_01_\": [\n \"_01_\"\n ],\n \"_00_\": [\n \"_00_\"\n ],\n \"_05_\": [\n \"_05_\"\n ]\n },\n \"alignment_score\": 100.0,\n \"unmapped_elements\": [],\n \"mapping_statistics\": {\n \"rtl_signals\": 11,\n \"netlist_wires\": 11,\n \"netlist_cells\": 0,\n \"mapped_signals\": 11,\n \"unmapped_signals\": 0\n },\n \"error\": null\n}\n\n[graph_extractor {\"graph_type\": \"CDFG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"CDFG\",\n...[6691 chars elided]...\n \"node_count\": 19,\n \"edge_count\": 45,\n \"graph_properties\": {\n \"node_types\": {\n \"sky130_fd_sc_hd__xnor2_1\": 2,\n \"sky130_fd_sc_hd__nor2_1\": 4,\n \"sky130_fd_sc_hd__xor2_1\": 1,\n \"sky130_fd_sc_hd__lpflow_inputiso1p_1\": 1,\n \"sky130_fd_sc_hd__nand2b_1\": 1,\n \"sky130_fd_sc_hd__dfxtp_1\": 6,\n \"port_input\": 2,\n \"port_output\": 2\n },\n \"avg_degree\": 2.37,\n \"module_name\": \"top\"\n },\n \"error\": null\n}", "plan_id": "9fdf4ac78e41", "design_id": "226fc91d0282", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/The-OpenROAD-Project/OpenROAD", "commit": "3e3e483a4e3f98e2b5470b272040699de6dedbee", "path": "src/rsz/test/eliminate_dead_logic1.v", "sha256": "ccb5cfe59a03b369762612b1b2bb35cee2ac3dd65fb935666b5a0579b9d27096"}} {"question": "For serv_alu, how well do the RTL signals carry through to the gate-level netlist, and given the current synthesized area and gate count, how much area reduction should I expect from the recommended area-targeted optimization, and what does it cost in delay?", "answer": "In serv_alu, 14 of 16 RTL signals map to the netlist, giving an alignment score of 87.5. Only wire and cmp_r are unmapped. The medium-effort synthesized design is 31 gates, with area 43.5 and delay 160.87. The area-targeted optimization recipe (share -aggressive, muxcover) estimates an area change of -15.0 and a delay change of 5.0, so it trades a small delay increase for a smaller area.", "source_file": "github_repos/olofk_serv/rtl/serv_alu.v", "module_name": "serv_alu", "tool_name": "cross_stage_mapper+optimization_advisor+synthesis_tool", "tool_parameters": [{}, {"target_metric": "area"}, {"optimization_level": "medium"}], "tool_result": "[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"i_cnt0\": [\n \"i_cnt0\"\n ],\n \"i_sub\": [\n \"i_sub\"\n ],\n \"i_rd_sel\": [\n \"i_rd_sel\"\n ],\n \"wire\": [],\n \"result_lt\": [\n \"result_lt\"\n ],\n \"o_cmp\": [\n \"o_cmp\"\n ],\n \"clk\": [\n \n...[38 chars elided]...\n\"i_cmp_sig\"\n ],\n \"i_bool_op\": [\n \"i_bool_op\"\n ],\n \"add_cy\": [\n \"add_cy\"\n ],\n \"op_b_sx\": [\n \"op_b_sx\"\n ],\n \"cmp_r\": [],\n \"i_cmp_eq\": [\n \"i_cmp_eq\"\n ],\n \"rs1_sx\": [\n \"rs1_sx\"\n ],\n \"result_eq\": [\n \"result_eq\"\n ],\n \"i_en\": [\n \"i_en\"\n ]\n },\n \"alignment_score\": 87.5,\n \"unmapped_elements\": [\n \"wire\",\n \"cmp_r\"\n ],\n \"mapping_statistics\": {\n \"rtl_signals\": 16,\n \"netlist_wires\": 264,\n \"netlist_cells\": 0,\n \"mapped_signals\": 14,\n \"unmapped_signals\": 2\n },\n \"error\": null\n}\n\n[optimization_advisor {\"target_metric\": \"area\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"area\",\n \"recommended_recipes\": [\n \"synth -top serv_alu -flatten\",\n \"opt -full; share -aggressive; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean -purge\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"mux_optimization\",\n \"description\": \"Share multiplexers where possible\",\n \"command\": \"muxcover; opt\"\n },\n {\n \"type\": \"resource_sharing\",\n \"description\": \"Share arithmetic operators\",\n \"command\": \"share -aggressive\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": -15.0,\n \"delay\": 5.0,\n \"power\": -10.0\n },\n \"trade_offs\": [\n \"Area optimization may increase delay\",\n \"Aggressive sharing increases routing complexity\"\n ],\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 43.5,\n \"delay\": 160.87,\n \"power\": 0.031,\n \"gate_count\": 31,\n \"cell_breakdown\": {\n \"$_ANDNOT_\": 1,\n \"$_AND_\": 6,\n \"$_DFFE_PP_\": 1,\n \"$_DFF_P_\": 1,\n \"$_NAND_\": 11,\n \"$_NOR_\": 1,\n \"$_NOT_\": 1,\n \"$_ORNOT_\": 1,\n \"$_OR_\": 3,\n \n...[1754 chars elided]...\n \"error\": null\n}", "category": "multi_tool", "subcategory": "cross_stage_mapper+optimization_advisor+synthesis_tool", "difficulty": "compositional", "question_hash": "52150540e1e4", "stage1_target": "[{\"tool\": \"cross_stage_mapper\", \"parameters\": {}}, {\"tool\": \"optimization_advisor\", \"parameters\": {\"target_metric\": \"area\"}}, {\"tool\": \"synthesis_tool\", \"parameters\": {\"optimization_level\": \"medium\"}}]", "stage2_context": "Question: For serv_alu, how well do the RTL signals carry through to the gate-level netlist, and given the current synthesized area and gate count, how much area reduction should I expect from the recommended area-targeted optimization, and what does it cost in delay?\n\n[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"i_cnt0\": [\n \"i_cnt0\"\n ],\n \"i_sub\": [\n \"i_sub\"\n ],\n \"i_rd_sel\": [\n \"i_rd_sel\"\n ],\n \"wire\": [],\n \"result_lt\": [\n \"result_lt\"\n ],\n \"o_cmp\": [\n \"o_cmp\"\n ],\n \"clk\": [\n \n...[38 chars elided]...\n\"i_cmp_sig\"\n ],\n \"i_bool_op\": [\n \"i_bool_op\"\n ],\n \"add_cy\": [\n \"add_cy\"\n ],\n \"op_b_sx\": [\n \"op_b_sx\"\n ],\n \"cmp_r\": [],\n \"i_cmp_eq\": [\n \"i_cmp_eq\"\n ],\n \"rs1_sx\": [\n \"rs1_sx\"\n ],\n \"result_eq\": [\n \"result_eq\"\n ],\n \"i_en\": [\n \"i_en\"\n ]\n },\n \"alignment_score\": 87.5,\n \"unmapped_elements\": [\n \"wire\",\n \"cmp_r\"\n ],\n \"mapping_statistics\": {\n \"rtl_signals\": 16,\n \"netlist_wires\": 264,\n \"netlist_cells\": 0,\n \"mapped_signals\": 14,\n \"unmapped_signals\": 2\n },\n \"error\": null\n}\n\n[optimization_advisor {\"target_metric\": \"area\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"area\",\n \"recommended_recipes\": [\n \"synth -top serv_alu -flatten\",\n \"opt -full; share -aggressive; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean -purge\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"mux_optimization\",\n \"description\": \"Share multiplexers where possible\",\n \"command\": \"muxcover; opt\"\n },\n {\n \"type\": \"resource_sharing\",\n \"description\": \"Share arithmetic operators\",\n \"command\": \"share -aggressive\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": -15.0,\n \"delay\": 5.0,\n \"power\": -10.0\n },\n \"trade_offs\": [\n \"Area optimization may increase delay\",\n \"Aggressive sharing increases routing complexity\"\n ],\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 43.5,\n \"delay\": 160.87,\n \"power\": 0.031,\n \"gate_count\": 31,\n \"cell_breakdown\": {\n \"$_ANDNOT_\": 1,\n \"$_AND_\": 6,\n \"$_DFFE_PP_\": 1,\n \"$_DFF_P_\": 1,\n \"$_NAND_\": 11,\n \"$_NOR_\": 1,\n \"$_NOT_\": 1,\n \"$_ORNOT_\": 1,\n \"$_OR_\": 3,\n \n...[1754 chars elided]...\n \"error\": null\n}", "plan_id": "420544cd8a12", "design_id": "229f4a1d2e44", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 3, "ctx_cap": 3300, "source": {"repository": "https://github.com/olofk/serv", "commit": "f200eb2ed7b69ac1c6b8eddd47654522aeee5ce8", "path": "rtl/serv_alu.v", "sha256": "2e0c31b5b992618e514083aacf10cb38c2229b68b3b1e93d6663104f32143332"}} {"question": "For servant_upduino2, how well do the RTL signals line up with the synthesized netlist, and which signals are unmapped? Given that, what area-focused optimization would you suggest, how much area improvement can I expect, and what does it cost in delay?", "answer": "servant_upduino2 has an RTL-to-netlist alignment score of 70.0, with 7 signals mapped and 3 unmapped (rst, wire, cnt). For area, the recommended step is aggressive resource sharing ('share -aggressive'). It is estimated to change area by -15.0, at the cost of a 5.0 increase in delay.", "source_file": "github_repos/olofk_serv/servant/servant_upduino2.v", "module_name": "servant_upduino2", "tool_name": "cross_stage_mapper+optimization_advisor", "tool_parameters": [{}, {"target_metric": "area"}], "tool_result": "[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"locked\": [\n \"locked\"\n ],\n \"rst\": [],\n \"wire\": [],\n \"b\": [\n \"b\"\n ],\n \"clk\": [\n \"clk\",\n \"clk48\"\n ],\n \"r\": [\n \"r\"\n ],\n \"cnt\": [],\n \"g\": [\n \"g\"\n ],\n \"q\": [\n \"q\"\n ],\n \"clk48\": [\n \"clk48\"\n ]\n },\n \"alignment_score\": 70.0,\n \"unmapped_elements\": [\n \"rst\",\n \"wire\",\n \"cnt\"\n ],\n \"mapping_statistics\": {\n \"rtl_signals\": 10,\n \"netlist_wires\": 10,\n \"netlist_cells\": 0,\n \"mapped_signals\": 7,\n \"unmapped_signals\": 3\n },\n \"error\": null\n}\n\n[optimization_advisor {\"target_metric\": \"area\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"area\",\n \"recommended_recipes\": [\n \"synth -top servant_upduino2 -flatten\",\n \"opt -full; share -aggressive; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean -purge\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"resource_sharing\",\n \"description\": \"Share arithmetic operators\",\n \"command\": \"share -aggressive\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": -15.0,\n \"delay\": 5.0,\n \"power\": -10.0\n },\n \"trade_offs\": [\n \"Area optimization may increase delay\",\n \"Aggressive sharing increases routing complexity\"\n ],\n \"error\": null\n}", "category": "multi_tool", "subcategory": "cross_stage_mapper+optimization_advisor", "difficulty": "compositional", "question_hash": "cdf2a0433c39", "stage1_target": "[{\"tool\": \"cross_stage_mapper\", \"parameters\": {}}, {\"tool\": \"optimization_advisor\", \"parameters\": {\"target_metric\": \"area\"}}]", "stage2_context": "Question: For servant_upduino2, how well do the RTL signals line up with the synthesized netlist, and which signals are unmapped? Given that, what area-focused optimization would you suggest, how much area improvement can I expect, and what does it cost in delay?\n\n[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"locked\": [\n \"locked\"\n ],\n \"rst\": [],\n \"wire\": [],\n \"b\": [\n \"b\"\n ],\n \"clk\": [\n \"clk\",\n \"clk48\"\n ],\n \"r\": [\n \"r\"\n ],\n \"cnt\": [],\n \"g\": [\n \"g\"\n ],\n \"q\": [\n \"q\"\n ],\n \"clk48\": [\n \"clk48\"\n ]\n },\n \"alignment_score\": 70.0,\n \"unmapped_elements\": [\n \"rst\",\n \"wire\",\n \"cnt\"\n ],\n \"mapping_statistics\": {\n \"rtl_signals\": 10,\n \"netlist_wires\": 10,\n \"netlist_cells\": 0,\n \"mapped_signals\": 7,\n \"unmapped_signals\": 3\n },\n \"error\": null\n}\n\n[optimization_advisor {\"target_metric\": \"area\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"area\",\n \"recommended_recipes\": [\n \"synth -top servant_upduino2 -flatten\",\n \"opt -full; share -aggressive; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean -purge\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"resource_sharing\",\n \"description\": \"Share arithmetic operators\",\n \"command\": \"share -aggressive\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": -15.0,\n \"delay\": 5.0,\n \"power\": -10.0\n },\n \"trade_offs\": [\n \"Area optimization may increase delay\",\n \"Aggressive sharing increases routing complexity\"\n ],\n \"error\": null\n}", "plan_id": "b0280ed8e268", "design_id": "22f9f03baaa9", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/olofk/serv", "commit": "f200eb2ed7b69ac1c6b8eddd47654522aeee5ce8", "path": "servant/servant_upduino2.v", "sha256": "f399f2a106c2caa0fe7e0b88973848a10656401f098f811514c35f7e27dc2c4c"}} {"question": "For module sm, does the AIG's cell mix match the synthesized gate count at medium optimization, and since the design is that small, how much area improvement is an area-targeted optimization expected to give, and what would it cost in delay?", "answer": "The AIG of sm has 7 nodes: one each of BUFx2, AND3x1, INVx1 and TIEHIx1, plus port nodes. That matches the 4 gates and 4.0 area from medium synthesis, which reports a delay of 75.79. The area-targeted recipes estimate a -15.0 change in area, but they come with an estimated +5.0 delay penalty, which is a lot to pay for a 4-cell design.", "source_file": "github_repos/The-OpenROAD-Project_OpenROAD/src/rsz/test/remove_buffers_hier1.v", "module_name": "sm", "tool_name": "graph_extractor+optimization_advisor+synthesis_tool", "tool_parameters": [{"graph_type": "AIG"}, {"target_metric": "area"}, {"optimization_level": "medium"}], "tool_result": "[graph_extractor {\"graph_type\": \"AIG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"AIG\",\n...[1457 chars elided]...\n \"node_count\": 7,\n \"edge_count\": 9,\n \"graph_properties\": {\n \"node_types\": {\n \"BUFx2_ASAP7_75t_R\": 1,\n \"AND3x1_ASAP7_75t_R\": 1,\n \"INVx1_ASAP7_75t_R\": 1,\n \"TIEHIx1_ASAP7_75t_R\": 1,\n \"port_input\": 1,\n \"port_output\": 2\n },\n \"avg_degree\": 1.29,\n \"module_name\": \"sm\"\n },\n \"error\": null\n}\n\n[optimization_advisor {\"target_metric\": \"area\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"area\",\n \"recommended_recipes\": [\n \"synth -top sm -flatten\",\n \"opt -full; share -aggressive; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean -purge\"\n ],\n \"optimization_suggestions\": [],\n \"estimated_improvement\": {\n \"area\": -15.0,\n \"delay\": 5.0,\n \"power\": -10.0\n },\n \"trade_offs\": [\n \"Area optimization may increase delay\",\n \"Aggressive sharing increases routing complexity\"\n ],\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 4.0,\n \"delay\": 75.79,\n \"power\": 0.004,\n \"gate_count\": 4,\n \"cell_breakdown\": {\n \"AND3x1_ASAP7_75t_R\": 1,\n \"BUFx2_ASAP7_75t_R\": 1,\n \"INVx1_ASAP7_75t_R\": 1,\n \"TIEHIx1_ASAP7_75t_R\": 1\n },\n \"wire_count\": 5,\n \"wire_bits\": 5,\n \"critical_p\n...[1629 chars elided]...\n \"error\": null\n}", "category": "multi_tool", "subcategory": "graph_extractor+optimization_advisor+synthesis_tool", "difficulty": "compositional", "question_hash": "b1c3abcba18b", "stage1_target": "[{\"tool\": \"graph_extractor\", \"parameters\": {\"graph_type\": \"AIG\"}}, {\"tool\": \"optimization_advisor\", \"parameters\": {\"target_metric\": \"area\"}}, {\"tool\": \"synthesis_tool\", \"parameters\": {\"optimization_level\": \"medium\"}}]", "stage2_context": "Question: For module sm, does the AIG's cell mix match the synthesized gate count at medium optimization, and since the design is that small, how much area improvement is an area-targeted optimization expected to give, and what would it cost in delay?\n\n[graph_extractor {\"graph_type\": \"AIG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"AIG\",\n...[1457 chars elided]...\n \"node_count\": 7,\n \"edge_count\": 9,\n \"graph_properties\": {\n \"node_types\": {\n \"BUFx2_ASAP7_75t_R\": 1,\n \"AND3x1_ASAP7_75t_R\": 1,\n \"INVx1_ASAP7_75t_R\": 1,\n \"TIEHIx1_ASAP7_75t_R\": 1,\n \"port_input\": 1,\n \"port_output\": 2\n },\n \"avg_degree\": 1.29,\n \"module_name\": \"sm\"\n },\n \"error\": null\n}\n\n[optimization_advisor {\"target_metric\": \"area\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"area\",\n \"recommended_recipes\": [\n \"synth -top sm -flatten\",\n \"opt -full; share -aggressive; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean -purge\"\n ],\n \"optimization_suggestions\": [],\n \"estimated_improvement\": {\n \"area\": -15.0,\n \"delay\": 5.0,\n \"power\": -10.0\n },\n \"trade_offs\": [\n \"Area optimization may increase delay\",\n \"Aggressive sharing increases routing complexity\"\n ],\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 4.0,\n \"delay\": 75.79,\n \"power\": 0.004,\n \"gate_count\": 4,\n \"cell_breakdown\": {\n \"AND3x1_ASAP7_75t_R\": 1,\n \"BUFx2_ASAP7_75t_R\": 1,\n \"INVx1_ASAP7_75t_R\": 1,\n \"TIEHIx1_ASAP7_75t_R\": 1\n },\n \"wire_count\": 5,\n \"wire_bits\": 5,\n \"critical_p\n...[1629 chars elided]...\n \"error\": null\n}", "plan_id": "28ddc312538b", "design_id": "235d2e26019d", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 3, "ctx_cap": 3300, "source": {"repository": "https://github.com/The-OpenROAD-Project/OpenROAD", "commit": "3e3e483a4e3f98e2b5470b272040699de6dedbee", "path": "src/rsz/test/remove_buffers_hier1.v", "sha256": "465c69c5e2aeeaabf54585ae970e97ff54eaca482fa7f9e704bbe5d36af6d9fa"}} {"question": "In NV_NVDLA_core_reset, the combined_rstn signal disappears when the RTL is mapped to the netlist. How does that line up with the gate-level cell breakdown at medium optimization, and how much does the missing signal reduce the RTL-to-netlist alignment score?", "answer": "In NV_NVDLA_core_reset, combined_rstn is the only unmapped element, with 8 of 9 RTL signals mapped, which gives an alignment score of 88.89. This matches the medium-optimization synthesis result: the reset-combining logic was most likely absorbed into the single $_AND_ cell that feeds the 3 sync_reset instances and 1 $_DFF_PN0_, for 5 gates in total and a delay of 81.03.", "source_file": "github_repos/nvdla_hw/vmod/nvdla/car/NV_NVDLA_core_reset.v", "module_name": "NV_NVDLA_core_reset", "tool_name": "cross_stage_mapper+synthesis_tool", "tool_parameters": [{}, {"optimization_level": "medium"}], "tool_result": "[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"dla_reset_rstn\": [\n \"dla_reset_rstn\"\n ],\n \"synced_core_rstn\": [\n \"synced_core_rstn\"\n ],\n \"combined_rstn\": [],\n \"synced_rstn\": [\n \"synced_rstn\"\n ],\n \"synced_dla_rstn\": [\n \"synced_dla_rstn\"\n ],\n \"direct_reset_\": [\n \"direct_reset_\"\n ],\n \"nvdla_clk\": [\n \"nvdla_clk\"\n ],\n \"core_reset_rstn\": [\n \"core_reset_rstn\"\n ],\n \"test_mode\": [\n \"test_mode\"\n ]\n },\n \"alignment_score\": 88.89,\n \"unmapped_elements\": [\n \"combined_rstn\"\n ],\n \"mapping_statistics\": {\n \"rtl_signals\": 9,\n \"netlist_wires\": 12,\n \"netlist_cells\": 0,\n \"mapped_signals\": 8,\n \"unmapped_signals\": 1\n },\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 5.0,\n \"delay\": 81.03,\n \"power\": 0.005,\n \"gate_count\": 5,\n \"cell_breakdown\": {\n \"$_AND_\": 1,\n \"$_DFF_PN0_\": 1,\n \"sync_reset\": 3\n },\n \"wire_count\": 10,\n \"wire_bits\": 10,\n \"critical_path_estimate\": 81.03,\n...[1123 chars elided]...\n \"error\": null\n}", "category": "multi_tool", "subcategory": "cross_stage_mapper+synthesis_tool", "difficulty": "compositional", "question_hash": "c271bbabc5e2", "stage1_target": "[{\"tool\": \"cross_stage_mapper\", \"parameters\": {}}, {\"tool\": \"synthesis_tool\", \"parameters\": {\"optimization_level\": \"medium\"}}]", "stage2_context": "Question: In NV_NVDLA_core_reset, the combined_rstn signal disappears when the RTL is mapped to the netlist. How does that line up with the gate-level cell breakdown at medium optimization, and how much does the missing signal reduce the RTL-to-netlist alignment score?\n\n[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"dla_reset_rstn\": [\n \"dla_reset_rstn\"\n ],\n \"synced_core_rstn\": [\n \"synced_core_rstn\"\n ],\n \"combined_rstn\": [],\n \"synced_rstn\": [\n \"synced_rstn\"\n ],\n \"synced_dla_rstn\": [\n \"synced_dla_rstn\"\n ],\n \"direct_reset_\": [\n \"direct_reset_\"\n ],\n \"nvdla_clk\": [\n \"nvdla_clk\"\n ],\n \"core_reset_rstn\": [\n \"core_reset_rstn\"\n ],\n \"test_mode\": [\n \"test_mode\"\n ]\n },\n \"alignment_score\": 88.89,\n \"unmapped_elements\": [\n \"combined_rstn\"\n ],\n \"mapping_statistics\": {\n \"rtl_signals\": 9,\n \"netlist_wires\": 12,\n \"netlist_cells\": 0,\n \"mapped_signals\": 8,\n \"unmapped_signals\": 1\n },\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 5.0,\n \"delay\": 81.03,\n \"power\": 0.005,\n \"gate_count\": 5,\n \"cell_breakdown\": {\n \"$_AND_\": 1,\n \"$_DFF_PN0_\": 1,\n \"sync_reset\": 3\n },\n \"wire_count\": 10,\n \"wire_bits\": 10,\n \"critical_path_estimate\": 81.03,\n...[1123 chars elided]...\n \"error\": null\n}", "plan_id": "fd722396f4c7", "design_id": "23b91e48c178", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/nvdla/hw", "commit": "8e06b1b9d85aab65b40d43d08eec5ea4681ff715", "path": "vmod/nvdla/car/NV_NVDLA_core_reset.v", "sha256": "c08c3a1612e9e82de0674a4be7f1542f46e208d62e2c9d6eff78dbc30c7ce1e3"}} {"question": "For NV_DW_minmax, does the RTL-to-netlist mapping cover everything, and how does the size of the AIG compare to the source code's complexity and port count? Also, is there anything odd about the reported port counts?", "answer": "NV_DW_minmax has a 100.0 alignment score, and all 3 RTL signals map onto 373 netlist wires with no unmapped elements. Its AIG has 1858 nodes (799 AND and 1054 NOT) and 4505 edges, which matches 98 lines of code with cyclomatic complexity 12, nesting depth 15 and 266 operators. The source-level count of 2 inputs and 0 outputs looks odd, because the AIG has 3 input ports and 2 output ports.", "source_file": "github_repos/nvdla_hw/vmod/vlibs/NV_DW_minmax.v", "module_name": "NV_DW_minmax", "tool_name": "cross_stage_mapper+graph_extractor+static_analyzer", "tool_parameters": [{}, {"graph_type": "AIG"}, {"analysis_type": "full"}], "tool_result": "[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"min_max\": [\n \"min_max\"\n ],\n \"tc_NC\": [\n \"tc_NC\"\n ],\n \"tc\": [\n \"tc_NC\",\n \"tc\"\n ]\n },\n \"alignment_score\": 100.0,\n \"unmapped_elements\": [],\n \"mapping_statistics\": {\n \"rtl_signals\": 3,\n \"netlist_wires\": 373,\n \"netlist_cells\": 0,\n \"mapped_signals\": 3,\n \"unmapped_signals\": 0\n },\n \"error\": null\n}\n\n[graph_extractor {\"graph_type\": \"AIG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"AIG\",\n...[33779 chars elided]...\n \"node_count\": 1858,\n \"edge_count\": 4505,\n \"graph_properties\": {\n \"node_types\": {\n \"$_AND_\": 799,\n \"$_NOT_\": 1054,\n \"port_input\": 3,\n \"port_output\": 2\n },\n \"avg_degree\": 2.42,\n \"module_name\": \"NV_DW_minmax\"\n },\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"NV_DW_minmax\",\n \"port_count\": {\n \"inputs\": 2,\n \"outputs\": 0,\n \"inouts\": 0,\n \"total\": 2\n },\n \"signal_count\": {\n \"wires\": 1,\n \"regs\": 0,\n \"parameters\": 3,\n \"total\": 1\n },\n \"always_blocks\": 1,\n \"assign_statements\": 1,\n \"instantiations\": [],\n \"code_complexity\": {\n \"lines_of_code\": 98,\n \"total_lines\": 133,\n \"cyclomatic_complexity\": 12,\n \"nesting_depth\": 15,\n \"operator_count\": 266\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "category": "multi_tool", "subcategory": "cross_stage_mapper+graph_extractor+static_analyzer", "difficulty": "compositional", "question_hash": "05feeb8910bf", "stage1_target": "[{\"tool\": \"cross_stage_mapper\", \"parameters\": {}}, {\"tool\": \"graph_extractor\", \"parameters\": {\"graph_type\": \"AIG\"}}, {\"tool\": \"static_analyzer\", \"parameters\": {\"analysis_type\": \"full\"}}]", "stage2_context": "Question: For NV_DW_minmax, does the RTL-to-netlist mapping cover everything, and how does the size of the AIG compare to the source code's complexity and port count? Also, is there anything odd about the reported port counts?\n\n[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"min_max\": [\n \"min_max\"\n ],\n \"tc_NC\": [\n \"tc_NC\"\n ],\n \"tc\": [\n \"tc_NC\",\n \"tc\"\n ]\n },\n \"alignment_score\": 100.0,\n \"unmapped_elements\": [],\n \"mapping_statistics\": {\n \"rtl_signals\": 3,\n \"netlist_wires\": 373,\n \"netlist_cells\": 0,\n \"mapped_signals\": 3,\n \"unmapped_signals\": 0\n },\n \"error\": null\n}\n\n[graph_extractor {\"graph_type\": \"AIG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"AIG\",\n...[33779 chars elided]...\n \"node_count\": 1858,\n \"edge_count\": 4505,\n \"graph_properties\": {\n \"node_types\": {\n \"$_AND_\": 799,\n \"$_NOT_\": 1054,\n \"port_input\": 3,\n \"port_output\": 2\n },\n \"avg_degree\": 2.42,\n \"module_name\": \"NV_DW_minmax\"\n },\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"NV_DW_minmax\",\n \"port_count\": {\n \"inputs\": 2,\n \"outputs\": 0,\n \"inouts\": 0,\n \"total\": 2\n },\n \"signal_count\": {\n \"wires\": 1,\n \"regs\": 0,\n \"parameters\": 3,\n \"total\": 1\n },\n \"always_blocks\": 1,\n \"assign_statements\": 1,\n \"instantiations\": [],\n \"code_complexity\": {\n \"lines_of_code\": 98,\n \"total_lines\": 133,\n \"cyclomatic_complexity\": 12,\n \"nesting_depth\": 15,\n \"operator_count\": 266\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "plan_id": "9d4667f0f2b4", "design_id": "23800332b743", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 3, "ctx_cap": 3300, "source": {"repository": "https://github.com/nvdla/hw", "commit": "8e06b1b9d85aab65b40d43d08eec5ea4681ff715", "path": "vmod/vlibs/NV_DW_minmax.v", "sha256": "421c24e9f8d4f7052df2eef8183c936614ddc5665fce40d48a073bbd24305bf1"}} {"question": "For nv_ram_rwsp_80x14, how well do the RTL signals line up with the synthesized netlist, and if I run a delay-focused optimization on this module, what delay gain should I expect and what does it cost? Given how many RTL signals don't map to the netlist, would you trust that estimate?", "answer": "For nv_ram_rwsp_80x14, the RTL-to-netlist alignment score is only 42.21: 65 of the 154 RTL signals map to the netlist and 89 don't, mostly shadow_mem rows and testbench-style items like random_num. The delay-targeted recipe ('abc -fast' plus logic duplication via 'splitnets -driver') estimates a delay change of -20.0, but area goes up by 10.0 and power by 5.0. Because so much of the memory array isn't in the netlist (it has 0 cells), that estimate should be treated as rough.", "source_file": "github_repos/nvdla_hw/vmod/rams/synth/nv_ram_rwsp_80x14.v", "module_name": "nv_ram_rwsp_80x14", "tool_name": "cross_stage_mapper+optimization_advisor", "tool_parameters": [{}, {"target_metric": "delay"}], "tool_result": "[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"mbist_en_sync\": [\n \"mbist_en_sync\",\n \"pre_mbist_en_sync\"\n ],\n \"shadow_mem_row79\": [],\n \"mbist_ce_r0\": [\n \"mbist_ce_r0\",\n \"pre_mbist_ce_r0\"\n ],\n \"shadow_mem_row29\": [],\n \"shadow_mem_row68\": [],\n \"shadow_mem_row8\": [],\n \"shadow_mem_row47\": [],\n \"pre_mbist_ce_r0\": [\n \"pre_mbist_ce_r0\"\n ],\n \"string\": [],\n \"pre_scan_en\n...[6150 chars elided]...\n5\",\n \"pre_mbist_Wa_w0_4\",\n \"pre_mbist_Wa_w0_3\"\n ],\n \"iddq_mode\": [\n \"pre_iddq_mode\",\n \"iddq_mode\"\n ],\n \"shadow_mem_row39\": [],\n \"shadow_mem_row0\": []\n },\n \"alignment_score\": 42.21,\n \"unmapped_elements\": [\n \"shadow_mem_row79\",\n \"shadow_mem_row29\",\n \"shadow_mem_row68\",\n \"shadow_mem_row8\",\n \"shadow_mem_row47\",\n \"string\",\n \"shadow_mem_row69\",\n \"shadow_mem_row6\",\n \"shadow_mem_row41\",\n \"shadow_mem_row56\",\n \"integer\",\n \"shadow_mem_row38\",\n \"shadow_mem_row23\",\n \"disable_clear_mem\",\n \"shadow_mem_row35\",\n \"shadow_mem_row25\",\n \"shadow_mem_row78\",\n \"shadow_mem_row9\",\n \"random_num\",\n \"shadow_mem_row46\"\n ],\n \"mapping_statistics\": {\n \"rtl_signals\": 154,\n \"netlist_wires\": 64,\n \"netlist_cells\": 0,\n \"mapped_signals\": 65,\n \"unmapped_signals\": 89\n },\n \"error\": null\n}\n\n[optimization_advisor {\"target_metric\": \"delay\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"delay\",\n \"recommended_recipes\": [\n \"synth -top nv_ram_rwsp_80x14\",\n \"opt -fast\",\n \"abc -fast -liberty stdcells.lib\",\n \"opt_clean\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"pipeline_insertion\",\n \"description\": \"Consider pipelining arithmetic operations\",\n \"command\": \"Use register retiming\"\n },\n {\n \"type\": \"logic_duplication\",\n \"description\": \"Duplicate logic to reduce fanout\",\n \"command\": \"splitnets -driver\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": 10.0,\n \"delay\": -20.0,\n \"power\": 5.0\n },\n \"trade_offs\": [\n \"Speed optimization increases area\",\n \"Higher power consumption\"\n ],\n \"error\": null\n}", "category": "multi_tool", "subcategory": "cross_stage_mapper+optimization_advisor", "difficulty": "compositional", "question_hash": "374b35ad31f9", "stage1_target": "[{\"tool\": \"cross_stage_mapper\", \"parameters\": {}}, {\"tool\": \"optimization_advisor\", \"parameters\": {\"target_metric\": \"delay\"}}]", "stage2_context": "Question: For nv_ram_rwsp_80x14, how well do the RTL signals line up with the synthesized netlist, and if I run a delay-focused optimization on this module, what delay gain should I expect and what does it cost? Given how many RTL signals don't map to the netlist, would you trust that estimate?\n\n[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"mbist_en_sync\": [\n \"mbist_en_sync\",\n \"pre_mbist_en_sync\"\n ],\n \"shadow_mem_row79\": [],\n \"mbist_ce_r0\": [\n \"mbist_ce_r0\",\n \"pre_mbist_ce_r0\"\n ],\n \"shadow_mem_row29\": [],\n \"shadow_mem_row68\": [],\n \"shadow_mem_row8\": [],\n \"shadow_mem_row47\": [],\n \"pre_mbist_ce_r0\": [\n \"pre_mbist_ce_r0\"\n ],\n \"string\": [],\n \"pre_scan_en\n...[6150 chars elided]...\n5\",\n \"pre_mbist_Wa_w0_4\",\n \"pre_mbist_Wa_w0_3\"\n ],\n \"iddq_mode\": [\n \"pre_iddq_mode\",\n \"iddq_mode\"\n ],\n \"shadow_mem_row39\": [],\n \"shadow_mem_row0\": []\n },\n \"alignment_score\": 42.21,\n \"unmapped_elements\": [\n \"shadow_mem_row79\",\n \"shadow_mem_row29\",\n \"shadow_mem_row68\",\n \"shadow_mem_row8\",\n \"shadow_mem_row47\",\n \"string\",\n \"shadow_mem_row69\",\n \"shadow_mem_row6\",\n \"shadow_mem_row41\",\n \"shadow_mem_row56\",\n \"integer\",\n \"shadow_mem_row38\",\n \"shadow_mem_row23\",\n \"disable_clear_mem\",\n \"shadow_mem_row35\",\n \"shadow_mem_row25\",\n \"shadow_mem_row78\",\n \"shadow_mem_row9\",\n \"random_num\",\n \"shadow_mem_row46\"\n ],\n \"mapping_statistics\": {\n \"rtl_signals\": 154,\n \"netlist_wires\": 64,\n \"netlist_cells\": 0,\n \"mapped_signals\": 65,\n \"unmapped_signals\": 89\n },\n \"error\": null\n}\n\n[optimization_advisor {\"target_metric\": \"delay\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"delay\",\n \"recommended_recipes\": [\n \"synth -top nv_ram_rwsp_80x14\",\n \"opt -fast\",\n \"abc -fast -liberty stdcells.lib\",\n \"opt_clean\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"pipeline_insertion\",\n \"description\": \"Consider pipelining arithmetic operations\",\n \"command\": \"Use register retiming\"\n },\n {\n \"type\": \"logic_duplication\",\n \"description\": \"Duplicate logic to reduce fanout\",\n \"command\": \"splitnets -driver\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": 10.0,\n \"delay\": -20.0,\n \"power\": 5.0\n },\n \"trade_offs\": [\n \"Speed optimization increases area\",\n \"Higher power consumption\"\n ],\n \"error\": null\n}", "plan_id": "9a8fff51bef0", "design_id": "246d1efe08da", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/nvdla/hw", "commit": "8e06b1b9d85aab65b40d43d08eec5ea4681ff715", "path": "vmod/rams/synth/nv_ram_rwsp_80x14.v", "sha256": "6f9c25434af9576f1a1fc8d41082c2d5f0338c2a55d3ccaf6a0680fa3a3ef276"}} {"question": "For NV_NVDLA_SDP_mrdma, how well does the RTL line up with the synthesized netlist, and does the DFG of the module support the idea that it is mostly a top-level wrapper around submodules rather than holding much logic of its own?", "answer": "NV_NVDLA_SDP_mrdma has an RTL-to-netlist alignment score of 98.11, with 52 of 53 RTL signals mapped and only layer_process left unmapped. Its DFG has just 53 nodes, made up mostly of 29 input ports and 14 output ports, plus four submodule instances (NV_NVDLA_SDP_MRDMA_cq, _eg, _gate and _ig, one each) and very little glue logic (for example 2 $mux and 1 $adffe), which fits a wrapper-style module.", "source_file": "github_repos/nvdla_hw/vmod/nvdla/sdp/NV_NVDLA_SDP_mrdma.v", "module_name": "NV_NVDLA_SDP_mrdma", "tool_name": "cross_stage_mapper+graph_extractor", "tool_parameters": [{}, {"graph_type": "DFG"}], "tool_result": "[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"reg2dp_in_precision\": [\n \"reg2dp_in_precision\"\n ],\n \"reg2dp_height\": [\n \"reg2dp_height\"\n ],\n \"dla_clk_ovr_on_sync\": [\n \"dla_clk_ovr_on_sync\"\n ],\n \"eg_done\": [\n \"eg_done\",\n \"dp2reg_done\"\n ],\n \"sdp2cvif_rd_req_pd\": [\n \"sdp2cvif_rd_req_pd\"\n ],\n \"nvdla_core_clk\": [\n \"nvdla_core_clk\"\n ],\n \"sdp2cvif_rd_cdt_lat\n...[2263 chars elided]...\n \"layer_process\": [],\n \"sdp2mcif_rd_req_ready\": [\n \"sdp2mcif_rd_req_ready\"\n ],\n \"sdp2mcif_rd_cdt_lat_fifo_pop\": [\n \"sdp2mcif_rd_cdt_lat_fifo_pop\"\n ],\n \"reg2dp_channel\": [\n \"reg2dp_channel\"\n ],\n \"ig2cq_prdy\": [\n \"ig2cq_prdy\"\n ],\n \"sdp_mrdma2cmux_valid\": [\n \"sdp_mrdma2cmux_valid\"\n ],\n \"cq2eg_prdy\": [\n \"cq2eg_prdy\"\n ],\n \"ig2cq_pvld\": [\n \"ig2cq_pvld\"\n ],\n \"sdp2mcif_rd_req_valid\": [\n \"sdp2mcif_rd_req_valid\"\n ],\n \"op_load\": [\n \"op_load\"\n ],\n \"reg2dp_perf_nan_inf_count_en\": [\n \"reg2dp_perf_nan_inf_count_en\"\n ]\n },\n \"alignment_score\": 98.11,\n \"unmapped_elements\": [\n \"layer_process\"\n ],\n \"mapping_statistics\": {\n \"rtl_signals\": 53,\n \"netlist_wires\": 63,\n \"netlist_cells\": 0,\n \"mapped_signals\": 52,\n \"unmapped_signals\": 1\n },\n \"error\": null\n}\n\n[graph_extractor {\"graph_type\": \"DFG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"DFG\",\n...[52120 chars elided]...\n \"node_count\": 53,\n \"edge_count\": 2169,\n \"graph_properties\": {\n \"node_types\": {\n \"$and\": 1,\n \"$not\": 1,\n \"$adffe\": 1,\n \"$reduce_bool\": 1,\n \"$mux\": 2,\n \"NV_NVDLA_SDP_MRDMA_cq\": 1,\n \"NV_NVDLA_SDP_MRDMA_eg\": 1,\n \"NV_NVDLA_SDP_MRDMA_gate\": 1,\n \"NV_NVDLA_SDP_MRDMA_ig\": 1,\n \"port_input\": 29,\n \"port_output\": 14\n },\n \"avg_degree\": 40.92,\n \"module_name\": \"NV_NVDLA_SDP_mrdma\"\n },\n \"error\": null\n}", "category": "multi_tool", "subcategory": "cross_stage_mapper+graph_extractor", "difficulty": "compositional", "question_hash": "dc5c6d377bad", "stage1_target": "[{\"tool\": \"cross_stage_mapper\", \"parameters\": {}}, {\"tool\": \"graph_extractor\", \"parameters\": {\"graph_type\": \"DFG\"}}]", "stage2_context": "Question: For NV_NVDLA_SDP_mrdma, how well does the RTL line up with the synthesized netlist, and does the DFG of the module support the idea that it is mostly a top-level wrapper around submodules rather than holding much logic of its own?\n\n[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"reg2dp_in_precision\": [\n \"reg2dp_in_precision\"\n ],\n \"reg2dp_height\": [\n \"reg2dp_height\"\n ],\n \"dla_clk_ovr_on_sync\": [\n \"dla_clk_ovr_on_sync\"\n ],\n \"eg_done\": [\n \"eg_done\",\n \"dp2reg_done\"\n ],\n \"sdp2cvif_rd_req_pd\": [\n \"sdp2cvif_rd_req_pd\"\n ],\n \"nvdla_core_clk\": [\n \"nvdla_core_clk\"\n ],\n \"sdp2cvif_rd_cdt_lat\n...[2263 chars elided]...\n \"layer_process\": [],\n \"sdp2mcif_rd_req_ready\": [\n \"sdp2mcif_rd_req_ready\"\n ],\n \"sdp2mcif_rd_cdt_lat_fifo_pop\": [\n \"sdp2mcif_rd_cdt_lat_fifo_pop\"\n ],\n \"reg2dp_channel\": [\n \"reg2dp_channel\"\n ],\n \"ig2cq_prdy\": [\n \"ig2cq_prdy\"\n ],\n \"sdp_mrdma2cmux_valid\": [\n \"sdp_mrdma2cmux_valid\"\n ],\n \"cq2eg_prdy\": [\n \"cq2eg_prdy\"\n ],\n \"ig2cq_pvld\": [\n \"ig2cq_pvld\"\n ],\n \"sdp2mcif_rd_req_valid\": [\n \"sdp2mcif_rd_req_valid\"\n ],\n \"op_load\": [\n \"op_load\"\n ],\n \"reg2dp_perf_nan_inf_count_en\": [\n \"reg2dp_perf_nan_inf_count_en\"\n ]\n },\n \"alignment_score\": 98.11,\n \"unmapped_elements\": [\n \"layer_process\"\n ],\n \"mapping_statistics\": {\n \"rtl_signals\": 53,\n \"netlist_wires\": 63,\n \"netlist_cells\": 0,\n \"mapped_signals\": 52,\n \"unmapped_signals\": 1\n },\n \"error\": null\n}\n\n[graph_extractor {\"graph_type\": \"DFG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"DFG\",\n...[52120 chars elided]...\n \"node_count\": 53,\n \"edge_count\": 2169,\n \"graph_properties\": {\n \"node_types\": {\n \"$and\": 1,\n \"$not\": 1,\n \"$adffe\": 1,\n \"$reduce_bool\": 1,\n \"$mux\": 2,\n \"NV_NVDLA_SDP_MRDMA_cq\": 1,\n \"NV_NVDLA_SDP_MRDMA_eg\": 1,\n \"NV_NVDLA_SDP_MRDMA_gate\": 1,\n \"NV_NVDLA_SDP_MRDMA_ig\": 1,\n \"port_input\": 29,\n \"port_output\": 14\n },\n \"avg_degree\": 40.92,\n \"module_name\": \"NV_NVDLA_SDP_mrdma\"\n },\n \"error\": null\n}", "plan_id": "f40ee6707a69", "design_id": "25140d014e2c", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/nvdla/hw", "commit": "8e06b1b9d85aab65b40d43d08eec5ea4681ff715", "path": "vmod/nvdla/sdp/NV_NVDLA_SDP_mrdma.v", "sha256": "8307c6b45c4bf946d40483b9dbe2019c7a8413ac25ae1f233318020119d8f40d"}} {"question": "For NV_NVDLA_CACC_assembly_buffer, how do the RAM macros the RTL instantiates line up with the RAM cells in the medium-optimization synthesis result, and what makes up most of the rest of the mapped logic?", "answer": "The NV_NVDLA_CACC_assembly_buffer RTL instantiates nv_ram_rws_32x768 and nv_ram_rws_32x544, and synthesis keeps them as 4 instances of each. Most of the remaining 31525 cells are 15744 $_DFFE_PP_ enable flip-flops and 15744 $_AND_ gates, and the design reaches an area of 94501.0 with a critical-path estimate of 2347.03. The RTL contains 28 always blocks, 28 regs and 40 assign statements.", "source_file": "github_repos/nvdla_hw/vmod/nvdla/cacc/NV_NVDLA_CACC_assembly_buffer.v", "module_name": "NV_NVDLA_CACC_assembly_buffer", "tool_name": "static_analyzer+synthesis_tool", "tool_parameters": [{"analysis_type": "full"}, {"optimization_level": "medium"}], "tool_result": "[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"NV_NVDLA_CACC_assembly_buffer\",\n \"port_count\": {\n \"inputs\": 15,\n \"outputs\": 8,\n \"inouts\": 0,\n \"total\": 23\n },\n \"signal_count\": {\n \"wires\": 34,\n \"regs\": 28,\n \"parameters\": 0,\n \"total\": 62\n },\n \"always_blocks\": 28,\n \"assign_statements\": 40,\n \"instantiations\": [\n \"nv_ram_rws_32x768\",\n \"nv_ram_rws_32x544\",\n \"define\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 651,\n \"total_lines\": 1001,\n \"cyclomatic_complexity\": 170,\n \"nesting_depth\": 108,\n \"operator_count\": 3103\n },\n \"lint_warnings\": [],\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 94501.0,\n \"delay\": 2347.03,\n \"power\": 31.525,\n \"gate_count\": 31525,\n \"cell_breakdown\": {\n \"$_AND_\": 15744,\n \"$_DFFE_PP_\": 15744,\n \"$_DFF_PN0_\": 29,\n \"nv_ram_rws_32x544\": 4,\n \"nv_ram_rws_32x768\": 4\n },\n \"wire_count\": 101,\n \"wire_bits\": 57833,\n \"critical_path_estimate\": 2347.03,\n...[1210 chars elided]...\n \"error\": null\n}", "category": "multi_tool", "subcategory": "static_analyzer+synthesis_tool", "difficulty": "compositional", "question_hash": "2ca98eb3b6b3", "stage1_target": "[{\"tool\": \"static_analyzer\", \"parameters\": {\"analysis_type\": \"full\"}}, {\"tool\": \"synthesis_tool\", \"parameters\": {\"optimization_level\": \"medium\"}}]", "stage2_context": "Question: For NV_NVDLA_CACC_assembly_buffer, how do the RAM macros the RTL instantiates line up with the RAM cells in the medium-optimization synthesis result, and what makes up most of the rest of the mapped logic?\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"NV_NVDLA_CACC_assembly_buffer\",\n \"port_count\": {\n \"inputs\": 15,\n \"outputs\": 8,\n \"inouts\": 0,\n \"total\": 23\n },\n \"signal_count\": {\n \"wires\": 34,\n \"regs\": 28,\n \"parameters\": 0,\n \"total\": 62\n },\n \"always_blocks\": 28,\n \"assign_statements\": 40,\n \"instantiations\": [\n \"nv_ram_rws_32x768\",\n \"nv_ram_rws_32x544\",\n \"define\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 651,\n \"total_lines\": 1001,\n \"cyclomatic_complexity\": 170,\n \"nesting_depth\": 108,\n \"operator_count\": 3103\n },\n \"lint_warnings\": [],\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 94501.0,\n \"delay\": 2347.03,\n \"power\": 31.525,\n \"gate_count\": 31525,\n \"cell_breakdown\": {\n \"$_AND_\": 15744,\n \"$_DFFE_PP_\": 15744,\n \"$_DFF_PN0_\": 29,\n \"nv_ram_rws_32x544\": 4,\n \"nv_ram_rws_32x768\": 4\n },\n \"wire_count\": 101,\n \"wire_bits\": 57833,\n \"critical_path_estimate\": 2347.03,\n...[1210 chars elided]...\n \"error\": null\n}", "plan_id": "6915b099338b", "design_id": "25bf00e050c6", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/nvdla/hw", "commit": "8e06b1b9d85aab65b40d43d08eec5ea4681ff715", "path": "vmod/nvdla/cacc/NV_NVDLA_CACC_assembly_buffer.v", "sha256": "4797c877f63ae99f696b7c59daea7753964efcbc5dc7a9ded0bbed0a141f1448"}} {"question": "The CDFG of NV_NVDLA_PDP_RDMA_REG_single is small. Given that, how realistic are the suggested delay optimizations and the delay improvement they predict, and what does the delay-oriented recipe cost in area and power?", "answer": "The CDFG of NV_NVDLA_PDP_RDMA_REG_single has only 15 nodes and 176 edges: a single $and, $eq, $logic_not and $pmux plus one $adffe register, with an average degree of 11.73 and no arithmetic operators. Because there is no arithmetic, the 'pipelining arithmetic operations' suggestion has nothing to work on, and the predicted delay change of -20.0 would have to come mostly from the 'splitnets -driver' fanout duplication. The trade-off is an estimated area increase of 10.0 and a power increase of 5.0.", "source_file": "github_repos/nvdla_hw/vmod/nvdla/pdp/NV_NVDLA_PDP_RDMA_REG_single.v", "module_name": "NV_NVDLA_PDP_RDMA_REG_single", "tool_name": "graph_extractor+optimization_advisor", "tool_parameters": [{"graph_type": "CDFG"}, {"target_metric": "delay"}], "tool_result": "[graph_extractor {\"graph_type\": \"CDFG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"CDFG\",\n...[18249 chars elided]...\n \"node_count\": 15,\n \"edge_count\": 176,\n \"graph_properties\": {\n \"node_types\": {\n \"$and\": 1,\n \"$adffe\": 1,\n \"$pmux\": 1,\n \"$logic_not\": 1,\n \"$eq\": 1,\n \"port_output\": 2,\n \"port_input\": 8\n },\n \"avg_degree\": 11.73,\n \"module_name\": \"NV_NVDLA_PDP_RDMA_REG_single\"\n },\n \"error\": null\n}\n\n[optimization_advisor {\"target_metric\": \"delay\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"delay\",\n \"recommended_recipes\": [\n \"synth -top NV_NVDLA_PDP_RDMA_REG_single\",\n \"opt -fast\",\n \"abc -fast -liberty stdcells.lib\",\n \"opt_clean\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"pipeline_insertion\",\n \"description\": \"Consider pipelining arithmetic operations\",\n \"command\": \"Use register retiming\"\n },\n {\n \"type\": \"logic_duplication\",\n \"description\": \"Duplicate logic to reduce fanout\",\n \"command\": \"splitnets -driver\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": 10.0,\n \"delay\": -20.0,\n \"power\": 5.0\n },\n \"trade_offs\": [\n \"Speed optimization increases area\",\n \"Higher power consumption\"\n ],\n \"error\": null\n}", "category": "multi_tool", "subcategory": "graph_extractor+optimization_advisor", "difficulty": "compositional", "question_hash": "1798d443c61c", "stage1_target": "[{\"tool\": \"graph_extractor\", \"parameters\": {\"graph_type\": \"CDFG\"}}, {\"tool\": \"optimization_advisor\", \"parameters\": {\"target_metric\": \"delay\"}}]", "stage2_context": "Question: The CDFG of NV_NVDLA_PDP_RDMA_REG_single is small. Given that, how realistic are the suggested delay optimizations and the delay improvement they predict, and what does the delay-oriented recipe cost in area and power?\n\n[graph_extractor {\"graph_type\": \"CDFG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"CDFG\",\n...[18249 chars elided]...\n \"node_count\": 15,\n \"edge_count\": 176,\n \"graph_properties\": {\n \"node_types\": {\n \"$and\": 1,\n \"$adffe\": 1,\n \"$pmux\": 1,\n \"$logic_not\": 1,\n \"$eq\": 1,\n \"port_output\": 2,\n \"port_input\": 8\n },\n \"avg_degree\": 11.73,\n \"module_name\": \"NV_NVDLA_PDP_RDMA_REG_single\"\n },\n \"error\": null\n}\n\n[optimization_advisor {\"target_metric\": \"delay\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"delay\",\n \"recommended_recipes\": [\n \"synth -top NV_NVDLA_PDP_RDMA_REG_single\",\n \"opt -fast\",\n \"abc -fast -liberty stdcells.lib\",\n \"opt_clean\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"pipeline_insertion\",\n \"description\": \"Consider pipelining arithmetic operations\",\n \"command\": \"Use register retiming\"\n },\n {\n \"type\": \"logic_duplication\",\n \"description\": \"Duplicate logic to reduce fanout\",\n \"command\": \"splitnets -driver\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": 10.0,\n \"delay\": -20.0,\n \"power\": 5.0\n },\n \"trade_offs\": [\n \"Speed optimization increases area\",\n \"Higher power consumption\"\n ],\n \"error\": null\n}", "plan_id": "732e63c0eea6", "design_id": "26c224c1ab91", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/nvdla/hw", "commit": "8e06b1b9d85aab65b40d43d08eec5ea4681ff715", "path": "vmod/nvdla/pdp/NV_NVDLA_PDP_RDMA_REG_single.v", "sha256": "a6abe11446881b956e1e0679a925e5bdd4625d4accb6a099590d16e753af5b7e"}} {"question": "For NV_NVDLA_PDP_RDMA_REG_single, how well do the RTL signals line up with the synthesized netlist, and how does that fit with the size of the result after medium-effort synthesis? Give the alignment score, how many signals were left unmapped, the gate count, the number of flip-flops, and the estimated critical path delay.", "answer": "NV_NVDLA_PDP_RDMA_REG_single has an RTL-to-netlist alignment score of 75.0. 15 of its 20 RTL signals were mapped and 5 were not, including producer and nvdla_pdp_rdma_s_status_0_wren. That fits the small medium-effort synthesis result: 22 gates, only 1 flip-flop ($_DFFE_PN0P_), area 23.0 and a critical path of 116.04.", "source_file": "github_repos/nvdla_hw/vmod/nvdla/pdp/NV_NVDLA_PDP_RDMA_REG_single.v", "module_name": "NV_NVDLA_PDP_RDMA_REG_single", "tool_name": "cross_stage_mapper+synthesis_tool", "tool_parameters": [{}, {"optimization_level": "medium"}], "tool_result": "[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"arreggen_dump\": [],\n \"wr\": [\n \"nvdla_pdp_rdma_s_pointer_0_wren\",\n \"reg_offset_wr\",\n \"reg_wr_en\",\n \"reg_wr_data\"\n ],\n \"reg_wr_en\": [\n \"reg_wr_en\"\n ],\n \"arreggen_abort_on_rowr\": [],\n \"nvdla_pdp_rdma_s_pointer_0_wren\": [\n \"nvdla_pdp_rdma_s_pointer_0_wren\"\n ],\n \"arreggen_abort_on_invalid_wr\": [],\n \"nvdla_core_clk\": [\n \n...[283 chars elided]...\n \"reg_wr_data\": [\n \"reg_wr_data\"\n ],\n \"nvdla_core_rstn\": [\n \"nvdla_core_rstn\"\n ],\n \"reg_offset_wr\": [\n \"reg_offset_wr\"\n ],\n \"consumer\": [\n \"consumer\"\n ],\n \"producer\": [],\n \"reg_offset_rd_int\": [\n \"reg_offset_rd_int\"\n ],\n \"nvdla_pdp_rdma_s_status_0_wren\": [],\n \"nvdla_pdp_rdma_s_pointer_0_out\": [\n \"nvdla_pdp_rdma_s_pointer_0_out\"\n ],\n \"reg_offset\": [\n \"reg_offset\",\n \"reg_offset_wr\",\n \"reg_offset_rd_int\"\n ]\n },\n \"alignment_score\": 75.0,\n \"unmapped_elements\": [\n \"arreggen_dump\",\n \"arreggen_abort_on_rowr\",\n \"arreggen_abort_on_invalid_wr\",\n \"producer\",\n \"nvdla_pdp_rdma_s_status_0_wren\"\n ],\n \"mapping_statistics\": {\n \"rtl_signals\": 20,\n \"netlist_wires\": 191,\n \"netlist_cells\": 0,\n \"mapped_signals\": 15,\n \"unmapped_signals\": 5\n },\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 23.0,\n \"delay\": 116.04,\n \"power\": 0.022,\n \"gate_count\": 22,\n \"cell_breakdown\": {\n \"$_ANDNOT_\": 2,\n \"$_AND_\": 8,\n \"$_DFFE_PN0P_\": 1,\n \"$_NAND_\": 6,\n \"$_NOR_\": 5\n },\n \"wire_count\": 31,\n \"wire_bits\": 210,\n \"critical_path_estimate\": 116.04,\n...[1171 chars elided]...\n \"error\": null\n}", "category": "multi_tool", "subcategory": "cross_stage_mapper+synthesis_tool", "difficulty": "compositional", "question_hash": "151b5e3f7367", "stage1_target": "[{\"tool\": \"cross_stage_mapper\", \"parameters\": {}}, {\"tool\": \"synthesis_tool\", \"parameters\": {\"optimization_level\": \"medium\"}}]", "stage2_context": "Question: For NV_NVDLA_PDP_RDMA_REG_single, how well do the RTL signals line up with the synthesized netlist, and how does that fit with the size of the result after medium-effort synthesis? Give the alignment score, how many signals were left unmapped, the gate count, the number of flip-flops, and the estimated critical path delay.\n\n[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"arreggen_dump\": [],\n \"wr\": [\n \"nvdla_pdp_rdma_s_pointer_0_wren\",\n \"reg_offset_wr\",\n \"reg_wr_en\",\n \"reg_wr_data\"\n ],\n \"reg_wr_en\": [\n \"reg_wr_en\"\n ],\n \"arreggen_abort_on_rowr\": [],\n \"nvdla_pdp_rdma_s_pointer_0_wren\": [\n \"nvdla_pdp_rdma_s_pointer_0_wren\"\n ],\n \"arreggen_abort_on_invalid_wr\": [],\n \"nvdla_core_clk\": [\n \n...[283 chars elided]...\n \"reg_wr_data\": [\n \"reg_wr_data\"\n ],\n \"nvdla_core_rstn\": [\n \"nvdla_core_rstn\"\n ],\n \"reg_offset_wr\": [\n \"reg_offset_wr\"\n ],\n \"consumer\": [\n \"consumer\"\n ],\n \"producer\": [],\n \"reg_offset_rd_int\": [\n \"reg_offset_rd_int\"\n ],\n \"nvdla_pdp_rdma_s_status_0_wren\": [],\n \"nvdla_pdp_rdma_s_pointer_0_out\": [\n \"nvdla_pdp_rdma_s_pointer_0_out\"\n ],\n \"reg_offset\": [\n \"reg_offset\",\n \"reg_offset_wr\",\n \"reg_offset_rd_int\"\n ]\n },\n \"alignment_score\": 75.0,\n \"unmapped_elements\": [\n \"arreggen_dump\",\n \"arreggen_abort_on_rowr\",\n \"arreggen_abort_on_invalid_wr\",\n \"producer\",\n \"nvdla_pdp_rdma_s_status_0_wren\"\n ],\n \"mapping_statistics\": {\n \"rtl_signals\": 20,\n \"netlist_wires\": 191,\n \"netlist_cells\": 0,\n \"mapped_signals\": 15,\n \"unmapped_signals\": 5\n },\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 23.0,\n \"delay\": 116.04,\n \"power\": 0.022,\n \"gate_count\": 22,\n \"cell_breakdown\": {\n \"$_ANDNOT_\": 2,\n \"$_AND_\": 8,\n \"$_DFFE_PN0P_\": 1,\n \"$_NAND_\": 6,\n \"$_NOR_\": 5\n },\n \"wire_count\": 31,\n \"wire_bits\": 210,\n \"critical_path_estimate\": 116.04,\n...[1171 chars elided]...\n \"error\": null\n}", "plan_id": "e1631703b63a", "design_id": "26c224c1ab91", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/nvdla/hw", "commit": "8e06b1b9d85aab65b40d43d08eec5ea4681ff715", "path": "vmod/nvdla/pdp/NV_NVDLA_PDP_RDMA_REG_single.v", "sha256": "a6abe11446881b956e1e0679a925e5bdd4625d4accb6a099590d16e753af5b7e"}} {"question": "For NV_NVDLA_SDP_ERDMA_gate, does the power-targeted optimization plan make sense given that synthesis already uses a dedicated clock-gating cell, and how does the design's source complexity compare with its synthesized size?", "answer": "NV_NVDLA_SDP_ERDMA_gate synthesizes to only 7 cells (area 6.5, power 0.007, delay 74.27), and these already include one NV_CLK_gate_power instance next to a single $_DFF_PN0_. The power-targeted plan's clockgate step and its estimated power change of -25.0 therefore have very little left to gate. The source is far larger than the netlist, with 315 lines of code, 11 always blocks and a cyclomatic complexity of 63, which suggests most of it is testpoint and coverage code that doesn't synthesize into logic.", "source_file": "github_repos/nvdla_hw/vmod/nvdla/sdp/NV_NVDLA_SDP_ERDMA_gate.v", "module_name": "NV_NVDLA_SDP_ERDMA_gate", "tool_name": "optimization_advisor+static_analyzer+synthesis_tool", "tool_parameters": [{"target_metric": "power"}, {"analysis_type": "full"}, {"optimization_level": "medium"}], "tool_result": "[optimization_advisor {\"target_metric\": \"power\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"power\",\n \"recommended_recipes\": [\n \"synth -top NV_NVDLA_SDP_ERDMA_gate\",\n \"opt; share; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean; clockgate\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"clock_gating\",\n \"description\": \"Insert clock gating for registers\",\n \"command\": \"clockgate\"\n },\n {\n \"type\": \"operand_isolation\",\n \"description\": \"Isolate operands when not in use\",\n \"command\": \"Use enable signals for arithmetic\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": 5.0,\n \"delay\": 5.0,\n \"power\": -25.0\n },\n \"trade_offs\": [\n \"Power optimization may add area overhead\",\n \"Clock gating adds timing complexity\"\n ],\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"NV_NVDLA_SDP_ERDMA_gate\",\n \"port_count\": {\n \"inputs\": 7,\n \"outputs\": 1,\n \"inouts\": 0,\n \"total\": 8\n },\n \"signal_count\": {\n \"wires\": 12,\n \"regs\": 12,\n \"parameters\": 0,\n \"total\": 24\n },\n \"always_blocks\": 11,\n \"assign\n...[17 chars elided]...\n \"instantiations\": [\n \"ASSOCIATE_TESTPOINT_NAME_GOAL_NUMBER\",\n \"SIMTOP_EOS_SIGNAL\",\n \"endif\",\n \"NV_CLK_gate_power\",\n \"FV_COVER_ON\",\n \"HAS_RETENTION_TESTPOINT_GOAL_0\",\n \"HAS_RETENTION_TESTPOINT_RESET_0\",\n \"COVER_PRINT_TESTPOINT_HITS\",\n \"HAS_RETENTION_TESTPOINT_RESET_1\",\n \"HAS_RETENTION_TESTPOINT_GOAL_1\",\n \"system_verilog_testpoint\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 315,\n \"total_lines\": 449,\n \"cyclomatic_complexity\": 63,\n \"nesting_depth\": 41,\n \"operator_count\": 669\n },\n \"lint_warnings\": [],\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 6.5,\n \"delay\": 74.27,\n \"power\": 0.007,\n \"gate_count\": 7,\n \"cell_breakdown\": {\n \"$_DFF_PN0_\": 1,\n \"$_NAND_\": 2,\n \"$_NOR_\": 1,\n \"$_NOT_\": 1,\n \"$_OR_\": 1,\n \"NV_CLK_gate_power\": 1\n },\n \"wire_count\": 14,\n \"wire_bits\": 14,\n \"critic\n...[1643 chars elided]...\n \"error\": null\n}", "category": "multi_tool", "subcategory": "optimization_advisor+static_analyzer+synthesis_tool", "difficulty": "compositional", "question_hash": "38f425048eed", "stage1_target": "[{\"tool\": \"optimization_advisor\", \"parameters\": {\"target_metric\": \"power\"}}, {\"tool\": \"static_analyzer\", \"parameters\": {\"analysis_type\": \"full\"}}, {\"tool\": \"synthesis_tool\", \"parameters\": {\"optimization_level\": \"medium\"}}]", "stage2_context": "Question: For NV_NVDLA_SDP_ERDMA_gate, does the power-targeted optimization plan make sense given that synthesis already uses a dedicated clock-gating cell, and how does the design's source complexity compare with its synthesized size?\n\n[optimization_advisor {\"target_metric\": \"power\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"power\",\n \"recommended_recipes\": [\n \"synth -top NV_NVDLA_SDP_ERDMA_gate\",\n \"opt; share; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean; clockgate\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"clock_gating\",\n \"description\": \"Insert clock gating for registers\",\n \"command\": \"clockgate\"\n },\n {\n \"type\": \"operand_isolation\",\n \"description\": \"Isolate operands when not in use\",\n \"command\": \"Use enable signals for arithmetic\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": 5.0,\n \"delay\": 5.0,\n \"power\": -25.0\n },\n \"trade_offs\": [\n \"Power optimization may add area overhead\",\n \"Clock gating adds timing complexity\"\n ],\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"NV_NVDLA_SDP_ERDMA_gate\",\n \"port_count\": {\n \"inputs\": 7,\n \"outputs\": 1,\n \"inouts\": 0,\n \"total\": 8\n },\n \"signal_count\": {\n \"wires\": 12,\n \"regs\": 12,\n \"parameters\": 0,\n \"total\": 24\n },\n \"always_blocks\": 11,\n \"assign\n...[17 chars elided]...\n \"instantiations\": [\n \"ASSOCIATE_TESTPOINT_NAME_GOAL_NUMBER\",\n \"SIMTOP_EOS_SIGNAL\",\n \"endif\",\n \"NV_CLK_gate_power\",\n \"FV_COVER_ON\",\n \"HAS_RETENTION_TESTPOINT_GOAL_0\",\n \"HAS_RETENTION_TESTPOINT_RESET_0\",\n \"COVER_PRINT_TESTPOINT_HITS\",\n \"HAS_RETENTION_TESTPOINT_RESET_1\",\n \"HAS_RETENTION_TESTPOINT_GOAL_1\",\n \"system_verilog_testpoint\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 315,\n \"total_lines\": 449,\n \"cyclomatic_complexity\": 63,\n \"nesting_depth\": 41,\n \"operator_count\": 669\n },\n \"lint_warnings\": [],\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 6.5,\n \"delay\": 74.27,\n \"power\": 0.007,\n \"gate_count\": 7,\n \"cell_breakdown\": {\n \"$_DFF_PN0_\": 1,\n \"$_NAND_\": 2,\n \"$_NOR_\": 1,\n \"$_NOT_\": 1,\n \"$_OR_\": 1,\n \"NV_CLK_gate_power\": 1\n },\n \"wire_count\": 14,\n \"wire_bits\": 14,\n \"critic\n...[1643 chars elided]...\n \"error\": null\n}", "plan_id": "23f4ad3ad0d7", "design_id": "2805ffa6801f", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 3, "ctx_cap": 3300, "source": {"repository": "https://github.com/nvdla/hw", "commit": "8e06b1b9d85aab65b40d43d08eec5ea4681ff715", "path": "vmod/nvdla/sdp/NV_NVDLA_SDP_ERDMA_gate.v", "sha256": "76dfbf12df4df19944c9773fac89071fc591d5ae005684570edc72178a4428fa"}} {"question": "For NV_DW02_tree, the RTL-to-netlist correlation found 354 netlist wires but couldn't match any RTL signals to them. How does that fit with the module's interface and code structure, which has only one input port, no outputs, and a fairly complex always block?", "answer": "The RTL-to-netlist mapping for NV_DW02_tree has an alignment score of 0.0: its single RTL signal \"array\" maps to none of the 354 netlist wires, and there are 0 netlist cells. This matches a module with 1 input, 0 outputs and 0 declared wires or regs, even though its single always block has a cyclomatic complexity of 9, a nesting depth of 6 and 231 operators. With no outputs, the logic probably gets reduced to unnamed or dangling wires that cannot be traced back to RTL names.", "source_file": "github_repos/nvdla_hw/vmod/vlibs/NV_DW02_tree.v", "module_name": "NV_DW02_tree", "tool_name": "cross_stage_mapper+static_analyzer", "tool_parameters": [{}, {"analysis_type": "full"}], "tool_result": "[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"array\": []\n },\n \"alignment_score\": 0.0,\n \"unmapped_elements\": [\n \"array\"\n ],\n \"mapping_statistics\": {\n \"rtl_signals\": 1,\n \"netlist_wires\": 354,\n \"netlist_cells\": 0,\n \"mapped_signals\": 0,\n \"unmapped_signals\": 1\n },\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"NV_DW02_tree\",\n \"port_count\": {\n \"inputs\": 1,\n \"outputs\": 0,\n \"inouts\": 0,\n \"total\": 1\n },\n \"signal_count\": {\n \"wires\": 0,\n \"regs\": 0,\n \"parameters\": 2,\n \"total\": 0\n },\n \"always_blocks\": 1,\n \"assign_statements\": 2,\n \"instantiations\": [],\n \"code_complexity\": {\n \"lines_of_code\": 33,\n \"total_lines\": 49,\n \"cyclomatic_complexity\": 9,\n \"nesting_depth\": 6,\n \"operator_count\": 231\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "category": "multi_tool", "subcategory": "cross_stage_mapper+static_analyzer", "difficulty": "compositional", "question_hash": "c15b588845f3", "stage1_target": "[{\"tool\": \"cross_stage_mapper\", \"parameters\": {}}, {\"tool\": \"static_analyzer\", \"parameters\": {\"analysis_type\": \"full\"}}]", "stage2_context": "Question: For NV_DW02_tree, the RTL-to-netlist correlation found 354 netlist wires but couldn't match any RTL signals to them. How does that fit with the module's interface and code structure, which has only one input port, no outputs, and a fairly complex always block?\n\n[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"array\": []\n },\n \"alignment_score\": 0.0,\n \"unmapped_elements\": [\n \"array\"\n ],\n \"mapping_statistics\": {\n \"rtl_signals\": 1,\n \"netlist_wires\": 354,\n \"netlist_cells\": 0,\n \"mapped_signals\": 0,\n \"unmapped_signals\": 1\n },\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"NV_DW02_tree\",\n \"port_count\": {\n \"inputs\": 1,\n \"outputs\": 0,\n \"inouts\": 0,\n \"total\": 1\n },\n \"signal_count\": {\n \"wires\": 0,\n \"regs\": 0,\n \"parameters\": 2,\n \"total\": 0\n },\n \"always_blocks\": 1,\n \"assign_statements\": 2,\n \"instantiations\": [],\n \"code_complexity\": {\n \"lines_of_code\": 33,\n \"total_lines\": 49,\n \"cyclomatic_complexity\": 9,\n \"nesting_depth\": 6,\n \"operator_count\": 231\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "plan_id": "4f5214364916", "design_id": "28fc57ea0cff", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/nvdla/hw", "commit": "8e06b1b9d85aab65b40d43d08eec5ea4681ff715", "path": "vmod/vlibs/NV_DW02_tree.v", "sha256": "9c82f73fa7d7cfaed742a23b280b281bf2e1e965fa95600a0e9aa07f0f85a33e"}} {"question": "For NV_DW02_tree, how well does the RTL line up with the synthesized netlist, and if I optimize this module for delay, what improvement and trade-offs should I expect? Keep in mind that the RTL-to-netlist mapping might make it harder to check the result.", "answer": "NV_DW02_tree has an alignment score of 0.0 between RTL and netlist: its only RTL signal, \"array\", stays unmapped even though the netlist has 354 wires, so it is hard to trace optimizations back to the RTL. A delay-targeted optimization (for example abc -fast with pipelining/retiming and splitnets -driver) is estimated to change delay by -20.0, but area goes up by 10.0 and power by 5.0, matching the noted trade-offs that speed optimization increases area and power consumption.", "source_file": "github_repos/nvdla_hw/vmod/vlibs/NV_DW02_tree.v", "module_name": "NV_DW02_tree", "tool_name": "cross_stage_mapper+optimization_advisor", "tool_parameters": [{}, {"target_metric": "delay"}], "tool_result": "[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"array\": []\n },\n \"alignment_score\": 0.0,\n \"unmapped_elements\": [\n \"array\"\n ],\n \"mapping_statistics\": {\n \"rtl_signals\": 1,\n \"netlist_wires\": 354,\n \"netlist_cells\": 0,\n \"mapped_signals\": 0,\n \"unmapped_signals\": 1\n },\n \"error\": null\n}\n\n[optimization_advisor {\"target_metric\": \"delay\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"delay\",\n \"recommended_recipes\": [\n \"synth -top NV_DW02_tree\",\n \"opt -fast\",\n \"abc -fast -liberty stdcells.lib\",\n \"opt_clean\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"pipeline_insertion\",\n \"description\": \"Consider pipelining arithmetic operations\",\n \"command\": \"Use register retiming\"\n },\n {\n \"type\": \"logic_duplication\",\n \"description\": \"Duplicate logic to reduce fanout\",\n \"command\": \"splitnets -driver\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": 10.0,\n \"delay\": -20.0,\n \"power\": 5.0\n },\n \"trade_offs\": [\n \"Speed optimization increases area\",\n \"Higher power consumption\"\n ],\n \"error\": null\n}", "category": "multi_tool", "subcategory": "cross_stage_mapper+optimization_advisor", "difficulty": "compositional", "question_hash": "0d173f2b35b8", "stage1_target": "[{\"tool\": \"cross_stage_mapper\", \"parameters\": {}}, {\"tool\": \"optimization_advisor\", \"parameters\": {\"target_metric\": \"delay\"}}]", "stage2_context": "Question: For NV_DW02_tree, how well does the RTL line up with the synthesized netlist, and if I optimize this module for delay, what improvement and trade-offs should I expect? Keep in mind that the RTL-to-netlist mapping might make it harder to check the result.\n\n[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"array\": []\n },\n \"alignment_score\": 0.0,\n \"unmapped_elements\": [\n \"array\"\n ],\n \"mapping_statistics\": {\n \"rtl_signals\": 1,\n \"netlist_wires\": 354,\n \"netlist_cells\": 0,\n \"mapped_signals\": 0,\n \"unmapped_signals\": 1\n },\n \"error\": null\n}\n\n[optimization_advisor {\"target_metric\": \"delay\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"delay\",\n \"recommended_recipes\": [\n \"synth -top NV_DW02_tree\",\n \"opt -fast\",\n \"abc -fast -liberty stdcells.lib\",\n \"opt_clean\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"pipeline_insertion\",\n \"description\": \"Consider pipelining arithmetic operations\",\n \"command\": \"Use register retiming\"\n },\n {\n \"type\": \"logic_duplication\",\n \"description\": \"Duplicate logic to reduce fanout\",\n \"command\": \"splitnets -driver\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": 10.0,\n \"delay\": -20.0,\n \"power\": 5.0\n },\n \"trade_offs\": [\n \"Speed optimization increases area\",\n \"Higher power consumption\"\n ],\n \"error\": null\n}", "plan_id": "2bc5fa1dad4c", "design_id": "28fc57ea0cff", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/nvdla/hw", "commit": "8e06b1b9d85aab65b40d43d08eec5ea4681ff715", "path": "vmod/vlibs/NV_DW02_tree.v", "sha256": "9c82f73fa7d7cfaed742a23b280b281bf2e1e965fa95600a0e9aa07f0f85a33e"}} {"question": "For sync2d_c_pp, does the RTL-to-netlist signal mapping agree with the AIG graph structure? Specifically, how well do the RTL signals line up with the netlist, and what does the AIG show is between input d and output q?", "answer": "The RTL-to-netlist mapping for sync2d_c_pp has an alignment score of 100.0, with both RTL signals (d and q) mapped and 0 netlist cells. This matches the AIG, which has 5 nodes and 4 edges, and a single p_SSYNC2DO_C_PP instance (NV_GENERIC_CELL) connects d, clk, clr_ and q with no other logic between them.", "source_file": "github_repos/nvdla_hw/vmod/vlibs/sync2d_c_pp.v", "module_name": "sync2d_c_pp", "tool_name": "cross_stage_mapper+graph_extractor", "tool_parameters": [{}, {"graph_type": "AIG"}], "tool_result": "[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"d\": [\n \"d\"\n ],\n \"q\": [\n \"q\"\n ]\n },\n \"alignment_score\": 100.0,\n \"unmapped_elements\": [],\n \"mapping_statistics\": {\n \"rtl_signals\": 2,\n \"netlist_wires\": 4,\n \"netlist_cells\": 0,\n \"mapped_signals\": 2,\n \"unmapped_signals\": 0\n },\n \"error\": null\n}\n\n[graph_extractor {\"graph_type\": \"AIG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"AIG\",\n \"node_count\": 5,\n \"edge_count\": 4,\n \"graph_properties\": {\n \"node_types\": {\n \"p_SSYNC2DO_C_PP\": 1,\n \"port_input\": 3,\n \"port_output\": 1\n },\n \"avg_degree\": 0.8,\n \"module_name\": \"sync2d_c_pp\"\n },\n \"error\": null\n}", "category": "multi_tool", "subcategory": "cross_stage_mapper+graph_extractor", "difficulty": "compositional", "question_hash": "a97bf14c0164", "stage1_target": "[{\"tool\": \"cross_stage_mapper\", \"parameters\": {}}, {\"tool\": \"graph_extractor\", \"parameters\": {\"graph_type\": \"AIG\"}}]", "stage2_context": "Question: For sync2d_c_pp, does the RTL-to-netlist signal mapping agree with the AIG graph structure? Specifically, how well do the RTL signals line up with the netlist, and what does the AIG show is between input d and output q?\n\n[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"d\": [\n \"d\"\n ],\n \"q\": [\n \"q\"\n ]\n },\n \"alignment_score\": 100.0,\n \"unmapped_elements\": [],\n \"mapping_statistics\": {\n \"rtl_signals\": 2,\n \"netlist_wires\": 4,\n \"netlist_cells\": 0,\n \"mapped_signals\": 2,\n \"unmapped_signals\": 0\n },\n \"error\": null\n}\n\n[graph_extractor {\"graph_type\": \"AIG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"AIG\",\n \"node_count\": 5,\n \"edge_count\": 4,\n \"graph_properties\": {\n \"node_types\": {\n \"p_SSYNC2DO_C_PP\": 1,\n \"port_input\": 3,\n \"port_output\": 1\n },\n \"avg_degree\": 0.8,\n \"module_name\": \"sync2d_c_pp\"\n },\n \"error\": null\n}", "plan_id": "7c2c0491d4aa", "design_id": "2916737bcbba", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/nvdla/hw", "commit": "8e06b1b9d85aab65b40d43d08eec5ea4681ff715", "path": "vmod/vlibs/sync2d_c_pp.v", "sha256": "b5bf6ac5ab888c9f48cbc57af066d818814553b6525c96648f4e19187fa55928"}} {"question": "For the sync2d_c_pp module, does the RTL-to-netlist signal correspondence look complete, and how does that fit with what the medium-effort synthesis produced in terms of cells, area and delay?", "answer": "The mapping for sync2d_c_pp is complete: both of its 2 RTL signals (d and q) appear in the netlist, the alignment score is 100.0, and nothing is left unmapped. That fits the synthesis result, which is a single p_SSYNC2DO_C_PP cell (gate_count 1) with area 1.0, delay 50.0 and 4 wires, so the design is one hard synchronizer primitive with ports passed straight through.", "source_file": "github_repos/nvdla_hw/vmod/vlibs/sync2d_c_pp.v", "module_name": "sync2d_c_pp", "tool_name": "cross_stage_mapper+synthesis_tool", "tool_parameters": [{}, {"optimization_level": "medium"}], "tool_result": "[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"d\": [\n \"d\"\n ],\n \"q\": [\n \"q\"\n ]\n },\n \"alignment_score\": 100.0,\n \"unmapped_elements\": [],\n \"mapping_statistics\": {\n \"rtl_signals\": 2,\n \"netlist_wires\": 4,\n \"netlist_cells\": 0,\n \"mapped_signals\": 2,\n \"unmapped_signals\": 0\n },\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 1.0,\n \"delay\": 50.0,\n \"power\": 0.001,\n \"gate_count\": 1,\n \"cell_breakdown\": {\n \"p_SSYNC2DO_C_PP\": 1\n },\n \"wire_count\": 4,\n \"wire_bits\": 4,\n \"critical_path_estimate\": 50.0,\n...[1078 chars elided]...\n \"error\": null\n}", "category": "multi_tool", "subcategory": "cross_stage_mapper+synthesis_tool", "difficulty": "compositional", "question_hash": "8317540bde71", "stage1_target": "[{\"tool\": \"cross_stage_mapper\", \"parameters\": {}}, {\"tool\": \"synthesis_tool\", \"parameters\": {\"optimization_level\": \"medium\"}}]", "stage2_context": "Question: For the sync2d_c_pp module, does the RTL-to-netlist signal correspondence look complete, and how does that fit with what the medium-effort synthesis produced in terms of cells, area and delay?\n\n[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"d\": [\n \"d\"\n ],\n \"q\": [\n \"q\"\n ]\n },\n \"alignment_score\": 100.0,\n \"unmapped_elements\": [],\n \"mapping_statistics\": {\n \"rtl_signals\": 2,\n \"netlist_wires\": 4,\n \"netlist_cells\": 0,\n \"mapped_signals\": 2,\n \"unmapped_signals\": 0\n },\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 1.0,\n \"delay\": 50.0,\n \"power\": 0.001,\n \"gate_count\": 1,\n \"cell_breakdown\": {\n \"p_SSYNC2DO_C_PP\": 1\n },\n \"wire_count\": 4,\n \"wire_bits\": 4,\n \"critical_path_estimate\": 50.0,\n...[1078 chars elided]...\n \"error\": null\n}", "plan_id": "0ac3482edae9", "design_id": "2916737bcbba", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/nvdla/hw", "commit": "8e06b1b9d85aab65b40d43d08eec5ea4681ff715", "path": "vmod/vlibs/sync2d_c_pp.v", "sha256": "b5bf6ac5ab888c9f48cbc57af066d818814553b6525c96648f4e19187fa55928"}} {"question": "For the module testcase, does the AIG graph structure match the medium-effort synthesis result, and what area, delay and power did that synthesis report?", "answer": "Yes. The AIG graph for testcase has 4 nodes and 3 edges: a single DFF_X1 wired to the clk, din and dout ports through its CK, D and Q pins. This matches the synthesis result of 1 DFF_X1 cell and 3 wires, which reported an area of 1.0, a delay of 50.0 and a power of 0.001.", "source_file": "github_repos/The-OpenROAD-Project_OpenROAD/src/dbSta/test/make_port.v", "module_name": "testcase", "tool_name": "graph_extractor+synthesis_tool", "tool_parameters": [{"graph_type": "AIG"}, {"optimization_level": "medium"}], "tool_result": "[graph_extractor {\"graph_type\": \"AIG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"AIG\",\n \"node_count\": 4,\n \"edge_count\": 3,\n \"graph_properties\": {\n \"node_types\": {\n \"DFF_X1\": 1,\n \"port_input\": 2,\n \"port_output\": 1\n },\n \"avg_degree\": 0.75,\n \"module_name\": \"testcase\"\n },\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 1.0,\n \"delay\": 50.0,\n \"power\": 0.001,\n \"gate_count\": 1,\n \"cell_breakdown\": {\n \"DFF_X1\": 1\n },\n \"wire_count\": 3,\n \"wire_bits\": 3,\n \"critical_path_estimate\": 50.0,\n...[1070 chars elided]...\n \"error\": null\n}", "category": "multi_tool", "subcategory": "graph_extractor+synthesis_tool", "difficulty": "compositional", "question_hash": "d87813bb6355", "stage1_target": "[{\"tool\": \"graph_extractor\", \"parameters\": {\"graph_type\": \"AIG\"}}, {\"tool\": \"synthesis_tool\", \"parameters\": {\"optimization_level\": \"medium\"}}]", "stage2_context": "Question: For the module testcase, does the AIG graph structure match the medium-effort synthesis result, and what area, delay and power did that synthesis report?\n\n[graph_extractor {\"graph_type\": \"AIG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"AIG\",\n \"node_count\": 4,\n \"edge_count\": 3,\n \"graph_properties\": {\n \"node_types\": {\n \"DFF_X1\": 1,\n \"port_input\": 2,\n \"port_output\": 1\n },\n \"avg_degree\": 0.75,\n \"module_name\": \"testcase\"\n },\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 1.0,\n \"delay\": 50.0,\n \"power\": 0.001,\n \"gate_count\": 1,\n \"cell_breakdown\": {\n \"DFF_X1\": 1\n },\n \"wire_count\": 3,\n \"wire_bits\": 3,\n \"critical_path_estimate\": 50.0,\n...[1070 chars elided]...\n \"error\": null\n}", "plan_id": "b6545b791178", "design_id": "2f2400857de2", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/The-OpenROAD-Project/OpenROAD", "commit": "3e3e483a4e3f98e2b5470b272040699de6dedbee", "path": "src/dbSta/test/make_port.v", "sha256": "c33efdcf9e95f00256e542f2e77e3b97e05201a9a40f5bd92fc790c387dd1f3a"}} {"question": "For the gcd module, the netlist is already a gate-level design with flip-flops and clock buffers in it, and RTL-to-netlist signal alignment looks clean. If I follow the power-targeted optimization advice, how much power reduction should I expect, what would it cost in area, and does the structure of the design suggest clock gating is a reasonable fit?", "answer": "The gcd module maps cleanly: all 353 RTL signals map to netlist wires, with an alignment score of 100.0. Static analysis shows a flat gate-level netlist with 345 wires, 0 always blocks, and cell instances that include DFF_X1 registers and CLKBUF_X1, so the suggested clock gating has registers to act on. For power, the estimated improvement is -25.0, with area and delay each at 5.0, which reflects the trade-off that power optimization may add area overhead and clock gating adds timing complexity.", "source_file": "github_repos/The-OpenROAD-Project_OpenROAD/test/gcd_nangate45.v", "module_name": "gcd", "tool_name": "cross_stage_mapper+optimization_advisor+static_analyzer", "tool_parameters": [{}, {"target_metric": "power"}, {"analysis_type": "full"}], "tool_result": "[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"_191_\": [\n \"_191_\"\n ],\n \"_083_\": [\n \"_083_\"\n ],\n \"_214_\": [\n \"_214_\"\n ],\n \"_283_\": [\n \"_283_\"\n ],\n \"_030_\": [\n \"_030_\"\n ],\n \"_224_\": [\n \"_224_\"\n ],\n \"_073_\": [\n\n...[12163 chars elided]...\n93_\"\n ],\n \"_130_\": [\n \"_130_\"\n ],\n \"_095_\": [\n \"_095_\"\n ],\n \"_229_\": [\n \"_229_\"\n ],\n \"_343_\": [\n \"_343_\"\n ],\n \"_288_\": [\n \"_288_\"\n ],\n \"_140_\": [\n \"_140_\"\n ],\n \"req_rdy\": [\n \"req_rdy\"\n ],\n \"_261_\": [\n \"_261_\"\n ],\n \"_059_\": [\n \"_059_\"\n ]\n },\n \"alignment_score\": 100.0,\n \"unmapped_elements\": [],\n \"mapping_statistics\": {\n \"rtl_signals\": 353,\n \"netlist_wires\": 353,\n \"netlist_cells\": 0,\n \"mapped_signals\": 353,\n \"unmapped_signals\": 0\n },\n \"error\": null\n}\n\n[optimization_advisor {\"target_metric\": \"power\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"power\",\n \"recommended_recipes\": [\n \"synth -top gcd\",\n \"opt; share; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean; clockgate\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"clock_gating\",\n \"description\": \"Insert clock gating for registers\",\n \"command\": \"clockgate\"\n },\n {\n \"type\": \"operand_isolation\",\n \"description\": \"Isolate operands when not in use\",\n \"command\": \"Use enable signals for arithmetic\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": 5.0,\n \"delay\": 5.0,\n \"power\": -25.0\n },\n \"trade_offs\": [\n \"Power optimization may add area overhead\",\n \"Clock gating adds timing complexity\"\n ],\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"gcd\",\n \"port_count\": {\n \"inputs\": 5,\n \"outputs\": 3,\n \"inouts\": 0,\n \"total\": 8\n },\n \"signal_count\": {\n \"wires\": 345,\n \"regs\": 0,\n \"parameters\": 0,\n \"total\": 345\n },\n \"always_blocks\": 0,\n \"assign_statements\": 0,\n \"instantiations\": [\n \"XOR2_X1\",\n \"XNOR2_X1\",\n \"NAND2_X4\",\n \"OAI22_X1\",\n \"CLKBUF_X1\",\n \"NOR2_X2\",\n \"DFF_X1\",\n \"AND3_X1\",\n \"NOR3_X1\",\n \"NAND3_X4\",\n \"OAI21_X2\",\n \"OR2_X1\",\n \"MUX2_X1\",\n \"NAND2_X1\",\n \"INV_X8\",\n \"INV_X2\",\n \"OAI21_X1\",\n \"NAND4_X1\",\n \"INV_X1\",\n \"NAND2_X2\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 2277,\n \"total_lines\": 2279,\n \"cyclomatic_complexity\": 1,\n \"nesting_depth\": 0,\n \"operator_count\": 7\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "category": "multi_tool", "subcategory": "cross_stage_mapper+optimization_advisor+static_analyzer", "difficulty": "compositional", "question_hash": "e7d6c4dbef6e", "stage1_target": "[{\"tool\": \"cross_stage_mapper\", \"parameters\": {}}, {\"tool\": \"optimization_advisor\", \"parameters\": {\"target_metric\": \"power\"}}, {\"tool\": \"static_analyzer\", \"parameters\": {\"analysis_type\": \"full\"}}]", "stage2_context": "Question: For the gcd module, the netlist is already a gate-level design with flip-flops and clock buffers in it, and RTL-to-netlist signal alignment looks clean. If I follow the power-targeted optimization advice, how much power reduction should I expect, what would it cost in area, and does the structure of the design suggest clock gating is a reasonable fit?\n\n[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"_191_\": [\n \"_191_\"\n ],\n \"_083_\": [\n \"_083_\"\n ],\n \"_214_\": [\n \"_214_\"\n ],\n \"_283_\": [\n \"_283_\"\n ],\n \"_030_\": [\n \"_030_\"\n ],\n \"_224_\": [\n \"_224_\"\n ],\n \"_073_\": [\n\n...[12163 chars elided]...\n93_\"\n ],\n \"_130_\": [\n \"_130_\"\n ],\n \"_095_\": [\n \"_095_\"\n ],\n \"_229_\": [\n \"_229_\"\n ],\n \"_343_\": [\n \"_343_\"\n ],\n \"_288_\": [\n \"_288_\"\n ],\n \"_140_\": [\n \"_140_\"\n ],\n \"req_rdy\": [\n \"req_rdy\"\n ],\n \"_261_\": [\n \"_261_\"\n ],\n \"_059_\": [\n \"_059_\"\n ]\n },\n \"alignment_score\": 100.0,\n \"unmapped_elements\": [],\n \"mapping_statistics\": {\n \"rtl_signals\": 353,\n \"netlist_wires\": 353,\n \"netlist_cells\": 0,\n \"mapped_signals\": 353,\n \"unmapped_signals\": 0\n },\n \"error\": null\n}\n\n[optimization_advisor {\"target_metric\": \"power\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"power\",\n \"recommended_recipes\": [\n \"synth -top gcd\",\n \"opt; share; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean; clockgate\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"clock_gating\",\n \"description\": \"Insert clock gating for registers\",\n \"command\": \"clockgate\"\n },\n {\n \"type\": \"operand_isolation\",\n \"description\": \"Isolate operands when not in use\",\n \"command\": \"Use enable signals for arithmetic\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": 5.0,\n \"delay\": 5.0,\n \"power\": -25.0\n },\n \"trade_offs\": [\n \"Power optimization may add area overhead\",\n \"Clock gating adds timing complexity\"\n ],\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"gcd\",\n \"port_count\": {\n \"inputs\": 5,\n \"outputs\": 3,\n \"inouts\": 0,\n \"total\": 8\n },\n \"signal_count\": {\n \"wires\": 345,\n \"regs\": 0,\n \"parameters\": 0,\n \"total\": 345\n },\n \"always_blocks\": 0,\n \"assign_statements\": 0,\n \"instantiations\": [\n \"XOR2_X1\",\n \"XNOR2_X1\",\n \"NAND2_X4\",\n \"OAI22_X1\",\n \"CLKBUF_X1\",\n \"NOR2_X2\",\n \"DFF_X1\",\n \"AND3_X1\",\n \"NOR3_X1\",\n \"NAND3_X4\",\n \"OAI21_X2\",\n \"OR2_X1\",\n \"MUX2_X1\",\n \"NAND2_X1\",\n \"INV_X8\",\n \"INV_X2\",\n \"OAI21_X1\",\n \"NAND4_X1\",\n \"INV_X1\",\n \"NAND2_X2\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 2277,\n \"total_lines\": 2279,\n \"cyclomatic_complexity\": 1,\n \"nesting_depth\": 0,\n \"operator_count\": 7\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "plan_id": "3b050b7372fb", "design_id": "2d30a7473338", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 3, "ctx_cap": 3300, "source": {"repository": "https://github.com/The-OpenROAD-Project/OpenROAD", "commit": "3e3e483a4e3f98e2b5470b272040699de6dedbee", "path": "test/gcd_nangate45.v", "sha256": "a7ac54960562b5bcc012efe899a059b4cc22fda89f64c36da7f14305e1d945f3"}} {"question": "For dcache_core_tag_ram, the RTL-to-netlist mapping leaves the memory array and its registered read output without a netlist counterpart. Does that fit with the area-targeted optimization advice, and what area change does that advice estimate?", "answer": "In dcache_core_tag_ram, the alignment score is 71.43 and two signals did not map, ram and ram_read0_q, which suggests the tag memory array was not kept as a recognizable structure in the netlist. That fits the area-targeted advice to infer the large array as memory with \"memory -nomap; memory_bram\". The advice estimates an area change of -15.0, with a delay trade-off of 5.0.", "source_file": "github_repos/ultraembedded_riscv/top_cache_axi/src_v/dcache_core_tag_ram.v", "module_name": "dcache_core_tag_ram", "tool_name": "cross_stage_mapper+optimization_advisor", "tool_parameters": [{}, {"target_metric": "area"}], "tool_result": "[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"rst0_i\": [\n \"rst0_i\"\n ],\n \"wr1_i\": [\n \"wr1_i\"\n ],\n \"clk1_i\": [\n \"clk1_i\"\n ],\n \"rst1_i\": [\n \"rst1_i\"\n ],\n \"clk0_i\": [\n \"clk0_i\"\n ],\n \"ram_read0_q\": [],\n \"ram\": []\n },\n \"alignment_score\": 71.43,\n \"unmapped_elements\": [\n \"ram_read0_q\",\n \"ram\"\n ],\n \"mapping_statistics\": {\n \"rtl_signals\": 7,\n \"netlist_wires\": 60972,\n \"netlist_cells\": 0,\n \"mapped_signals\": 5,\n \"unmapped_signals\": 2\n },\n \"error\": null\n}\n\n[optimization_advisor {\"target_metric\": \"area\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"area\",\n \"recommended_recipes\": [\n \"synth -top dcache_core_tag_ram -flatten\",\n \"opt -full; share -aggressive; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean -purge\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"memory_optimization\",\n \"description\": \"Consider using memory inference for large arrays\",\n \"command\": \"memory -nomap; memory_bram\"\n },\n {\n \"type\": \"resource_sharing\",\n \"description\": \"Share arithmetic operators\",\n \"command\": \"share -aggressive\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": -15.0,\n \"delay\": 5.0,\n \"power\": -10.0\n },\n \"trade_offs\": [\n \"Area optimization may increase delay\",\n \"Aggressive sharing increases routing complexity\"\n ],\n \"error\": null\n}", "category": "multi_tool", "subcategory": "cross_stage_mapper+optimization_advisor", "difficulty": "compositional", "question_hash": "7fe43fb05152", "stage1_target": "[{\"tool\": \"cross_stage_mapper\", \"parameters\": {}}, {\"tool\": \"optimization_advisor\", \"parameters\": {\"target_metric\": \"area\"}}]", "stage2_context": "Question: For dcache_core_tag_ram, the RTL-to-netlist mapping leaves the memory array and its registered read output without a netlist counterpart. Does that fit with the area-targeted optimization advice, and what area change does that advice estimate?\n\n[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"rst0_i\": [\n \"rst0_i\"\n ],\n \"wr1_i\": [\n \"wr1_i\"\n ],\n \"clk1_i\": [\n \"clk1_i\"\n ],\n \"rst1_i\": [\n \"rst1_i\"\n ],\n \"clk0_i\": [\n \"clk0_i\"\n ],\n \"ram_read0_q\": [],\n \"ram\": []\n },\n \"alignment_score\": 71.43,\n \"unmapped_elements\": [\n \"ram_read0_q\",\n \"ram\"\n ],\n \"mapping_statistics\": {\n \"rtl_signals\": 7,\n \"netlist_wires\": 60972,\n \"netlist_cells\": 0,\n \"mapped_signals\": 5,\n \"unmapped_signals\": 2\n },\n \"error\": null\n}\n\n[optimization_advisor {\"target_metric\": \"area\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"area\",\n \"recommended_recipes\": [\n \"synth -top dcache_core_tag_ram -flatten\",\n \"opt -full; share -aggressive; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean -purge\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"memory_optimization\",\n \"description\": \"Consider using memory inference for large arrays\",\n \"command\": \"memory -nomap; memory_bram\"\n },\n {\n \"type\": \"resource_sharing\",\n \"description\": \"Share arithmetic operators\",\n \"command\": \"share -aggressive\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": -15.0,\n \"delay\": 5.0,\n \"power\": -10.0\n },\n \"trade_offs\": [\n \"Area optimization may increase delay\",\n \"Aggressive sharing increases routing complexity\"\n ],\n \"error\": null\n}", "plan_id": "b664afa535b1", "design_id": "312df4c8056b", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/ultraembedded/riscv", "commit": "7ae6f803e30f78c6ea3121e73c3adf50ff912730", "path": "top_cache_axi/src_v/dcache_core_tag_ram.v", "sha256": "a0bbfaba8f336eb9c46181b530c3f3826c17c0df73a438ef7db15092d23257a4"}} {"question": "For dcache_core_tag_ram, the delay-targeted optimization plan recommends pipelining arithmetic and duplicating logic to cut fanout. Is that plan a good fit given how big and complex the module's structure actually is, and what would it cost?", "answer": "dcache_core_tag_ram is small and simple, with 24 lines of code, 1 always block, 2 regs and a cyclomatic complexity of 2, so pipelining is unlikely to help much and the fanout reduction (splitnets -driver) is the more reasonable of the two suggestions. The delay-targeted plan estimates a -20.0 delay improvement, but at the cost of +10.0 area and +5.0 power, and the module's high operator count of 577 is the main reason logic duplication could still help.", "source_file": "github_repos/ultraembedded_riscv/top_cache_axi/src_v/dcache_core_tag_ram.v", "module_name": "dcache_core_tag_ram", "tool_name": "optimization_advisor+static_analyzer", "tool_parameters": [{"target_metric": "delay"}, {"analysis_type": "full"}], "tool_result": "[optimization_advisor {\"target_metric\": \"delay\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"delay\",\n \"recommended_recipes\": [\n \"synth -top dcache_core_tag_ram\",\n \"opt -fast\",\n \"abc -fast -liberty stdcells.lib\",\n \"opt_clean\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"pipeline_insertion\",\n \"description\": \"Consider pipelining arithmetic operations\",\n \"command\": \"Use register retiming\"\n },\n {\n \"type\": \"logic_duplication\",\n \"description\": \"Duplicate logic to reduce fanout\",\n \"command\": \"splitnets -driver\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": 10.0,\n \"delay\": -20.0,\n \"power\": 5.0\n },\n \"trade_offs\": [\n \"Speed optimization increases area\",\n \"Higher power consumption\"\n ],\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"dcache_core_tag_ram\",\n \"port_count\": {\n \"inputs\": 5,\n \"outputs\": 0,\n \"inouts\": 0,\n \"total\": 5\n },\n \"signal_count\": {\n \"wires\": 0,\n \"regs\": 2,\n \"parameters\": 0,\n \"total\": 2\n },\n \"always_blocks\": 1,\n \"assign_statements\": 1,\n \"instantiations\": [\n \"RAM\",\n \"CONSEQUENTIAL\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 24,\n \"total_lines\": 85,\n \"cyclomatic_complexity\": 2,\n \"nesting_depth\": 1,\n \"operator_count\": 577\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "category": "multi_tool", "subcategory": "optimization_advisor+static_analyzer", "difficulty": "compositional", "question_hash": "b4ce1db1862a", "stage1_target": "[{\"tool\": \"optimization_advisor\", \"parameters\": {\"target_metric\": \"delay\"}}, {\"tool\": \"static_analyzer\", \"parameters\": {\"analysis_type\": \"full\"}}]", "stage2_context": "Question: For dcache_core_tag_ram, the delay-targeted optimization plan recommends pipelining arithmetic and duplicating logic to cut fanout. Is that plan a good fit given how big and complex the module's structure actually is, and what would it cost?\n\n[optimization_advisor {\"target_metric\": \"delay\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"delay\",\n \"recommended_recipes\": [\n \"synth -top dcache_core_tag_ram\",\n \"opt -fast\",\n \"abc -fast -liberty stdcells.lib\",\n \"opt_clean\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"pipeline_insertion\",\n \"description\": \"Consider pipelining arithmetic operations\",\n \"command\": \"Use register retiming\"\n },\n {\n \"type\": \"logic_duplication\",\n \"description\": \"Duplicate logic to reduce fanout\",\n \"command\": \"splitnets -driver\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": 10.0,\n \"delay\": -20.0,\n \"power\": 5.0\n },\n \"trade_offs\": [\n \"Speed optimization increases area\",\n \"Higher power consumption\"\n ],\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"dcache_core_tag_ram\",\n \"port_count\": {\n \"inputs\": 5,\n \"outputs\": 0,\n \"inouts\": 0,\n \"total\": 5\n },\n \"signal_count\": {\n \"wires\": 0,\n \"regs\": 2,\n \"parameters\": 0,\n \"total\": 2\n },\n \"always_blocks\": 1,\n \"assign_statements\": 1,\n \"instantiations\": [\n \"RAM\",\n \"CONSEQUENTIAL\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 24,\n \"total_lines\": 85,\n \"cyclomatic_complexity\": 2,\n \"nesting_depth\": 1,\n \"operator_count\": 577\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "plan_id": "6cf7eff1c4a4", "design_id": "312df4c8056b", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/ultraembedded/riscv", "commit": "7ae6f803e30f78c6ea3121e73c3adf50ff912730", "path": "top_cache_axi/src_v/dcache_core_tag_ram.v", "sha256": "a0bbfaba8f336eb9c46181b530c3f3826c17c0df73a438ef7db15092d23257a4"}} {"question": "For icache_tag_ram, how does the raw AIG of the design compare with the medium-optimization synthesized netlist in terms of AND gates and flip-flops? What do the synthesized area and delay figures suggest about where most of the logic sits?", "answer": "The unoptimized AIG for icache_tag_ram has 231 nodes, including 87 $_AND_ and 116 $_NOT_ gates, and medium-level synthesis cuts the AND logic down to 28 $_AND_ cells. All 20 $_DFF_P_ flip-flops and the single $memrd/$memwr_v2 ports survive unchanged, for 50 cells in total. That gives an area of 110.0 and a delay of 291.03, so most of the design is the 5120-bit memory and its registers, and only a small amount of glue logic remains.", "source_file": "github_repos/ultraembedded_riscv/top_cache_axi/src_v/icache_tag_ram.v", "module_name": "icache_tag_ram", "tool_name": "graph_extractor+synthesis_tool", "tool_parameters": [{"graph_type": "AIG"}, {"optimization_level": "medium"}], "tool_result": "[graph_extractor {\"graph_type\": \"AIG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"AIG\",\n...[33662 chars elided]...\n \"node_count\": 231,\n \"edge_count\": 632,\n \"graph_properties\": {\n \"node_types\": {\n \"$memrd\": 1,\n \"$_AND_\": 87,\n \"$_NOT_\": 116,\n \"$_DFF_P_\": 20,\n \"$memwr_v2\": 1,\n \"port_input\": 5,\n \"port_output\": 1\n },\n \"avg_degree\": 2.74,\n \"module_name\": \"icache_tag_ram\"\n },\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 110.0,\n \"delay\": 291.03,\n \"power\": 0.05,\n \"gate_count\": 50,\n \"cell_breakdown\": {\n \"$_AND_\": 28,\n \"$_DFF_P_\": 20,\n \"$memrd\": 1,\n \"$memwr_v2\": 1\n },\n \"wire_count\": 10,\n \"wire_bits\": 119,\n \"critical_path_estimate\": 291.03,\n...[1147 chars elided]...\n \"error\": null\n}", "category": "multi_tool", "subcategory": "graph_extractor+synthesis_tool", "difficulty": "compositional", "question_hash": "b39b4e8eeae1", "stage1_target": "[{\"tool\": \"graph_extractor\", \"parameters\": {\"graph_type\": \"AIG\"}}, {\"tool\": \"synthesis_tool\", \"parameters\": {\"optimization_level\": \"medium\"}}]", "stage2_context": "Question: For icache_tag_ram, how does the raw AIG of the design compare with the medium-optimization synthesized netlist in terms of AND gates and flip-flops? What do the synthesized area and delay figures suggest about where most of the logic sits?\n\n[graph_extractor {\"graph_type\": \"AIG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"AIG\",\n...[33662 chars elided]...\n \"node_count\": 231,\n \"edge_count\": 632,\n \"graph_properties\": {\n \"node_types\": {\n \"$memrd\": 1,\n \"$_AND_\": 87,\n \"$_NOT_\": 116,\n \"$_DFF_P_\": 20,\n \"$memwr_v2\": 1,\n \"port_input\": 5,\n \"port_output\": 1\n },\n \"avg_degree\": 2.74,\n \"module_name\": \"icache_tag_ram\"\n },\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 110.0,\n \"delay\": 291.03,\n \"power\": 0.05,\n \"gate_count\": 50,\n \"cell_breakdown\": {\n \"$_AND_\": 28,\n \"$_DFF_P_\": 20,\n \"$memrd\": 1,\n \"$memwr_v2\": 1\n },\n \"wire_count\": 10,\n \"wire_bits\": 119,\n \"critical_path_estimate\": 291.03,\n...[1147 chars elided]...\n \"error\": null\n}", "plan_id": "da4a6b91d3ad", "design_id": "312f9c585153", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/ultraembedded/riscv", "commit": "7ae6f803e30f78c6ea3121e73c3adf50ff912730", "path": "top_cache_axi/src_v/icache_tag_ram.v", "sha256": "bd0d5fbdbd2e30bd637074bb0a4747294bf03652427b2c95ed8f1d0507f5aa85"}} {"question": "For NV_NVDLA_CDP_DP_mul, how well do the RTL signals line up with the synthesized netlist, and does the CDFG view of the module show how much of its sequential pipeline/skid logic and multiplier instantiation explains the RTL signals that could not be mapped?", "answer": "NV_NVDLA_CDP_DP_mul has an RTL-to-netlist alignment score of 75.61, with 62 of 82 RTL signals mapped and 20 unmapped, including pipeline/skid registers such as p1_skid_data, p1_pipe_data and p1_pipe_valid. Its CDFG has 93 nodes and 4497 edges and contains only 2 $dffe and 4 $adff register cells alongside 4 NV_NVDLA_CDP_DP_MUL_unit instances, which suggests the skid/pipe state was flattened or renamed during synthesis rather than kept as named nets.", "source_file": "github_repos/nvdla_hw/vmod/nvdla/cdp/NV_NVDLA_CDP_DP_mul.v", "module_name": "NV_NVDLA_CDP_DP_mul", "tool_name": "cross_stage_mapper+graph_extractor", "tool_parameters": [{}, {"graph_type": "CDFG"}], "tool_result": "[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"p1_pipe_ready\": [\n \"p1_pipe_ready\",\n \"p1_pipe_ready_bc\"\n ],\n \"prand_initialized0\": [],\n \"sync2mul_prdy\": [\n \"sync2mul_prdy\"\n ],\n \"is_nan_in\": [\n \"is_nan_in\"\n ],\n \"nvdla_core_clk\": [\n \"nvdla_core_clk\"\n ],\n \"intp2mul_pd_0\": [\n \"intp2mul_pd_0\"\n ],\n \"mul_in_rdy\": [\n \"mul_in_rdy\"\n ],\n \"mul_in_vld\": [\n \n...[3374 chars elided]...\nipe_rand_data\"\n ],\n \"mul_unit_pd_3\": [\n \"mul_unit_pd_3\"\n ],\n \"select\": [],\n \"nvdla_op_gated_clk_int\": [\n \"nvdla_op_gated_clk_int\"\n ],\n \"intp2mul_pd_3\": [\n \"intp2mul_pd_3\"\n ]\n },\n \"alignment_score\": 75.61,\n \"unmapped_elements\": [\n \"prand_initialized0\",\n \"p1_skid_valid\",\n \"always\",\n \"p1_skid_ready_flop\",\n \"p1_pipe_rand_active\",\n \"mul_bypass_en\",\n \"min\",\n \"prand_no_rollpli0\",\n \"p1_pipe_valid\",\n \"prand_initialized1\",\n \"p1_skid_data\",\n \"p1_pipe_rand_enable\",\n \"diff\",\n \"prand_local_seed1\",\n \"max\",\n \"p1_pipe_data\",\n \"p1_pipe_rand_poised\",\n \"prand_no_rollpli1\",\n \"prand_local_seed0\",\n \"select\"\n ],\n \"mapping_statistics\": {\n \"rtl_signals\": 82,\n \"netlist_wires\": 2321,\n \"netlist_cells\": 0,\n \"mapped_signals\": 62,\n \"unmapped_signals\": 20\n },\n \"error\": null\n}\n\n[graph_extractor {\"graph_type\": \"CDFG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"CDFG\",\n...[52755 chars elided]...\n \"node_count\": 93,\n \"edge_count\": 4497,\n \"graph_properties\": {\n \"node_types\": {\n \"$and\": 15,\n \"$mux\": 19,\n \"$reduce_and\": 13,\n \"$reduce_or\": 4,\n \"$logic_and\": 3,\n \"$logic_not\": 3,\n \"$logic_or\": 1,\n \"$dffe\": 2,\n \"$adff\": 4,\n \"NV_NVDLA_CDP_DP_MUL_unit\": 4,\n \"port_input\": 21,\n \"port_output\": 4\n },\n \"avg_degree\": 48.35,\n \"module_name\": \"NV_NVDLA_CDP_DP_mul\"\n },\n \"error\": null\n}", "category": "multi_tool", "subcategory": "cross_stage_mapper+graph_extractor", "difficulty": "compositional", "question_hash": "ef7b47850510", "stage1_target": "[{\"tool\": \"cross_stage_mapper\", \"parameters\": {}}, {\"tool\": \"graph_extractor\", \"parameters\": {\"graph_type\": \"CDFG\"}}]", "stage2_context": "Question: For NV_NVDLA_CDP_DP_mul, how well do the RTL signals line up with the synthesized netlist, and does the CDFG view of the module show how much of its sequential pipeline/skid logic and multiplier instantiation explains the RTL signals that could not be mapped?\n\n[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"p1_pipe_ready\": [\n \"p1_pipe_ready\",\n \"p1_pipe_ready_bc\"\n ],\n \"prand_initialized0\": [],\n \"sync2mul_prdy\": [\n \"sync2mul_prdy\"\n ],\n \"is_nan_in\": [\n \"is_nan_in\"\n ],\n \"nvdla_core_clk\": [\n \"nvdla_core_clk\"\n ],\n \"intp2mul_pd_0\": [\n \"intp2mul_pd_0\"\n ],\n \"mul_in_rdy\": [\n \"mul_in_rdy\"\n ],\n \"mul_in_vld\": [\n \n...[3374 chars elided]...\nipe_rand_data\"\n ],\n \"mul_unit_pd_3\": [\n \"mul_unit_pd_3\"\n ],\n \"select\": [],\n \"nvdla_op_gated_clk_int\": [\n \"nvdla_op_gated_clk_int\"\n ],\n \"intp2mul_pd_3\": [\n \"intp2mul_pd_3\"\n ]\n },\n \"alignment_score\": 75.61,\n \"unmapped_elements\": [\n \"prand_initialized0\",\n \"p1_skid_valid\",\n \"always\",\n \"p1_skid_ready_flop\",\n \"p1_pipe_rand_active\",\n \"mul_bypass_en\",\n \"min\",\n \"prand_no_rollpli0\",\n \"p1_pipe_valid\",\n \"prand_initialized1\",\n \"p1_skid_data\",\n \"p1_pipe_rand_enable\",\n \"diff\",\n \"prand_local_seed1\",\n \"max\",\n \"p1_pipe_data\",\n \"p1_pipe_rand_poised\",\n \"prand_no_rollpli1\",\n \"prand_local_seed0\",\n \"select\"\n ],\n \"mapping_statistics\": {\n \"rtl_signals\": 82,\n \"netlist_wires\": 2321,\n \"netlist_cells\": 0,\n \"mapped_signals\": 62,\n \"unmapped_signals\": 20\n },\n \"error\": null\n}\n\n[graph_extractor {\"graph_type\": \"CDFG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"CDFG\",\n...[52755 chars elided]...\n \"node_count\": 93,\n \"edge_count\": 4497,\n \"graph_properties\": {\n \"node_types\": {\n \"$and\": 15,\n \"$mux\": 19,\n \"$reduce_and\": 13,\n \"$reduce_or\": 4,\n \"$logic_and\": 3,\n \"$logic_not\": 3,\n \"$logic_or\": 1,\n \"$dffe\": 2,\n \"$adff\": 4,\n \"NV_NVDLA_CDP_DP_MUL_unit\": 4,\n \"port_input\": 21,\n \"port_output\": 4\n },\n \"avg_degree\": 48.35,\n \"module_name\": \"NV_NVDLA_CDP_DP_mul\"\n },\n \"error\": null\n}", "plan_id": "163b40b7fb2f", "design_id": "323b9709488f", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/nvdla/hw", "commit": "8e06b1b9d85aab65b40d43d08eec5ea4681ff715", "path": "vmod/nvdla/cdp/NV_NVDLA_CDP_DP_mul.v", "sha256": "ebc4377439d876979e0dabdb4195c4fd62a537c77dc5582e2f476a4d75118a0d"}} {"question": "For NV_NVDLA_CDP_DP_mul, how well do the RTL signals carry through to the synthesized netlist, and are the unmapped signals tied to the module's control complexity? Please give the mapping alignment, the number of unmapped signals, and the static code complexity figures.", "answer": "NV_NVDLA_CDP_DP_mul has an RTL-to-netlist alignment score of 75.61, with 62 of 82 RTL signals mapped and 20 unmapped. Most of the unmapped ones are pipeline skid/valid registers and PRAND randomization signals such as p1_skid_data and prand_local_seed0, which fits the module's high control complexity: cyclomatic complexity of 63 across 14 always blocks and a nesting depth of 35.", "source_file": "github_repos/nvdla_hw/vmod/nvdla/cdp/NV_NVDLA_CDP_DP_mul.v", "module_name": "NV_NVDLA_CDP_DP_mul", "tool_name": "cross_stage_mapper+static_analyzer", "tool_parameters": [{}, {"analysis_type": "full"}], "tool_result": "[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"p1_pipe_ready\": [\n \"p1_pipe_ready\",\n \"p1_pipe_ready_bc\"\n ],\n \"prand_initialized0\": [],\n \"sync2mul_prdy\": [\n \"sync2mul_prdy\"\n ],\n \"is_nan_in\": [\n \"is_nan_in\"\n ],\n \"nvdla_core_clk\": [\n \"nvdla_core_clk\"\n ],\n \"intp2mul_pd_0\": [\n \"intp2mul_pd_0\"\n ],\n \"mul_in_rdy\": [\n \"mul_in_rdy\"\n ],\n \"mul_in_vld\": [\n \n...[3374 chars elided]...\nipe_rand_data\"\n ],\n \"mul_unit_pd_3\": [\n \"mul_unit_pd_3\"\n ],\n \"select\": [],\n \"nvdla_op_gated_clk_int\": [\n \"nvdla_op_gated_clk_int\"\n ],\n \"intp2mul_pd_3\": [\n \"intp2mul_pd_3\"\n ]\n },\n \"alignment_score\": 75.61,\n \"unmapped_elements\": [\n \"prand_initialized0\",\n \"p1_skid_valid\",\n \"always\",\n \"p1_skid_ready_flop\",\n \"p1_pipe_rand_active\",\n \"mul_bypass_en\",\n \"min\",\n \"prand_no_rollpli0\",\n \"p1_pipe_valid\",\n \"prand_initialized1\",\n \"p1_skid_data\",\n \"p1_pipe_rand_enable\",\n \"diff\",\n \"prand_local_seed1\",\n \"max\",\n \"p1_pipe_data\",\n \"p1_pipe_rand_poised\",\n \"prand_no_rollpli1\",\n \"prand_local_seed0\",\n \"select\"\n ],\n \"mapping_statistics\": {\n \"rtl_signals\": 82,\n \"netlist_wires\": 2321,\n \"netlist_cells\": 0,\n \"mapped_signals\": 62,\n \"unmapped_signals\": 20\n },\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"NV_NVDLA_CDP_DP_mul\",\n \"port_count\": {\n \"inputs\": 25,\n \"outputs\": 6,\n \"inouts\": 0,\n \"total\": 31\n },\n \"signal_count\": {\n \"wires\": 26,\n \"regs\": 30,\n \"parameters\": 0,\n \"total\": 56\n },\n \"always_blocks\": 14,\n \"assign_statements\": 33,\n \"instantiations\": [\n \"random\",\n \"define\",\n \"deprecated\",\n \"NV_NVDLA_CDP_DP_MUL_unit\",\n \"PRAND_VERILOG\",\n \"SYNTH_LEVEL1_COMPILE\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 489,\n \"total_lines\": 621,\n \"cyclomatic_complexity\": 63,\n \"nesting_depth\": 35,\n \"operator_count\": 1081\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "category": "multi_tool", "subcategory": "cross_stage_mapper+static_analyzer", "difficulty": "compositional", "question_hash": "ca48302954bb", "stage1_target": "[{\"tool\": \"cross_stage_mapper\", \"parameters\": {}}, {\"tool\": \"static_analyzer\", \"parameters\": {\"analysis_type\": \"full\"}}]", "stage2_context": "Question: For NV_NVDLA_CDP_DP_mul, how well do the RTL signals carry through to the synthesized netlist, and are the unmapped signals tied to the module's control complexity? Please give the mapping alignment, the number of unmapped signals, and the static code complexity figures.\n\n[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"p1_pipe_ready\": [\n \"p1_pipe_ready\",\n \"p1_pipe_ready_bc\"\n ],\n \"prand_initialized0\": [],\n \"sync2mul_prdy\": [\n \"sync2mul_prdy\"\n ],\n \"is_nan_in\": [\n \"is_nan_in\"\n ],\n \"nvdla_core_clk\": [\n \"nvdla_core_clk\"\n ],\n \"intp2mul_pd_0\": [\n \"intp2mul_pd_0\"\n ],\n \"mul_in_rdy\": [\n \"mul_in_rdy\"\n ],\n \"mul_in_vld\": [\n \n...[3374 chars elided]...\nipe_rand_data\"\n ],\n \"mul_unit_pd_3\": [\n \"mul_unit_pd_3\"\n ],\n \"select\": [],\n \"nvdla_op_gated_clk_int\": [\n \"nvdla_op_gated_clk_int\"\n ],\n \"intp2mul_pd_3\": [\n \"intp2mul_pd_3\"\n ]\n },\n \"alignment_score\": 75.61,\n \"unmapped_elements\": [\n \"prand_initialized0\",\n \"p1_skid_valid\",\n \"always\",\n \"p1_skid_ready_flop\",\n \"p1_pipe_rand_active\",\n \"mul_bypass_en\",\n \"min\",\n \"prand_no_rollpli0\",\n \"p1_pipe_valid\",\n \"prand_initialized1\",\n \"p1_skid_data\",\n \"p1_pipe_rand_enable\",\n \"diff\",\n \"prand_local_seed1\",\n \"max\",\n \"p1_pipe_data\",\n \"p1_pipe_rand_poised\",\n \"prand_no_rollpli1\",\n \"prand_local_seed0\",\n \"select\"\n ],\n \"mapping_statistics\": {\n \"rtl_signals\": 82,\n \"netlist_wires\": 2321,\n \"netlist_cells\": 0,\n \"mapped_signals\": 62,\n \"unmapped_signals\": 20\n },\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"NV_NVDLA_CDP_DP_mul\",\n \"port_count\": {\n \"inputs\": 25,\n \"outputs\": 6,\n \"inouts\": 0,\n \"total\": 31\n },\n \"signal_count\": {\n \"wires\": 26,\n \"regs\": 30,\n \"parameters\": 0,\n \"total\": 56\n },\n \"always_blocks\": 14,\n \"assign_statements\": 33,\n \"instantiations\": [\n \"random\",\n \"define\",\n \"deprecated\",\n \"NV_NVDLA_CDP_DP_MUL_unit\",\n \"PRAND_VERILOG\",\n \"SYNTH_LEVEL1_COMPILE\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 489,\n \"total_lines\": 621,\n \"cyclomatic_complexity\": 63,\n \"nesting_depth\": 35,\n \"operator_count\": 1081\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "plan_id": "21e7c3f8a70b", "design_id": "323b9709488f", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/nvdla/hw", "commit": "8e06b1b9d85aab65b40d43d08eec5ea4681ff715", "path": "vmod/nvdla/cdp/NV_NVDLA_CDP_DP_mul.v", "sha256": "ebc4377439d876979e0dabdb4195c4fd62a537c77dc5582e2f476a4d75118a0d"}} {"question": "For dcache_core_data_ram, the CDFG has a single memory block surrounded by multiplexers. Given that structure, how well do the power-targeted optimization suggestions fit this module, and what power improvement is estimated?", "answer": "The CDFG of dcache_core_data_ram has 16 $mux nodes and 1 $mem_v2 node across 29 nodes, so most of its logic is memory plus write/read multiplexing, which makes the suggested memory banking (memory_share) and clock gating (clockgate) good fits. The estimated power change is -25.0, with area and delay each estimated at 5.0, and the trade-off is that clock gating adds timing complexity.", "source_file": "github_repos/ultraembedded_riscv/top_cache_axi/src_v/dcache_core_data_ram.v", "module_name": "dcache_core_data_ram", "tool_name": "graph_extractor+optimization_advisor", "tool_parameters": [{"graph_type": "CDFG"}, {"target_metric": "power"}], "tool_result": "[graph_extractor {\"graph_type\": \"CDFG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"CDFG\",\n...[90690 chars elided]...\n \"node_count\": 29,\n \"edge_count\": 1054,\n \"graph_properties\": {\n \"node_types\": {\n \"$mux\": 16,\n \"$mem_v2\": 1,\n \"port_input\": 10,\n \"port_output\": 2\n },\n \"avg_degree\": 36.34,\n \"module_name\": \"dcache_core_data_ram\"\n },\n \"error\": null\n}\n\n[optimization_advisor {\"target_metric\": \"power\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"power\",\n \"recommended_recipes\": [\n \"synth -top dcache_core_data_ram\",\n \"opt; share; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean; clockgate\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"clock_gating\",\n \"description\": \"Insert clock gating for registers\",\n \"command\": \"clockgate\"\n },\n {\n \"type\": \"memory_banking\",\n \"description\": \"Bank memories to reduce active area\",\n \"command\": \"memory_share\"\n },\n {\n \"type\": \"operand_isolation\",\n \"description\": \"Isolate operands when not in use\",\n \"command\": \"Use enable signals for arithmetic\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": 5.0,\n \"delay\": 5.0,\n \"power\": -25.0\n },\n \"trade_offs\": [\n \"Power optimization may add area overhead\",\n \"Clock gating adds timing complexity\"\n ],\n \"error\": null\n}", "category": "multi_tool", "subcategory": "graph_extractor+optimization_advisor", "difficulty": "compositional", "question_hash": "b5cdfc6461e2", "stage1_target": "[{\"tool\": \"graph_extractor\", \"parameters\": {\"graph_type\": \"CDFG\"}}, {\"tool\": \"optimization_advisor\", \"parameters\": {\"target_metric\": \"power\"}}]", "stage2_context": "Question: For dcache_core_data_ram, the CDFG has a single memory block surrounded by multiplexers. Given that structure, how well do the power-targeted optimization suggestions fit this module, and what power improvement is estimated?\n\n[graph_extractor {\"graph_type\": \"CDFG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"CDFG\",\n...[90690 chars elided]...\n \"node_count\": 29,\n \"edge_count\": 1054,\n \"graph_properties\": {\n \"node_types\": {\n \"$mux\": 16,\n \"$mem_v2\": 1,\n \"port_input\": 10,\n \"port_output\": 2\n },\n \"avg_degree\": 36.34,\n \"module_name\": \"dcache_core_data_ram\"\n },\n \"error\": null\n}\n\n[optimization_advisor {\"target_metric\": \"power\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"power\",\n \"recommended_recipes\": [\n \"synth -top dcache_core_data_ram\",\n \"opt; share; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean; clockgate\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"clock_gating\",\n \"description\": \"Insert clock gating for registers\",\n \"command\": \"clockgate\"\n },\n {\n \"type\": \"memory_banking\",\n \"description\": \"Bank memories to reduce active area\",\n \"command\": \"memory_share\"\n },\n {\n \"type\": \"operand_isolation\",\n \"description\": \"Isolate operands when not in use\",\n \"command\": \"Use enable signals for arithmetic\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": 5.0,\n \"delay\": 5.0,\n \"power\": -25.0\n },\n \"trade_offs\": [\n \"Power optimization may add area overhead\",\n \"Clock gating adds timing complexity\"\n ],\n \"error\": null\n}", "plan_id": "40d3f203574f", "design_id": "32b43003b090", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/ultraembedded/riscv", "commit": "7ae6f803e30f78c6ea3121e73c3adf50ff912730", "path": "top_cache_axi/src_v/dcache_core_data_ram.v", "sha256": "421b5cf828adb66e355ffda8e6223a5421d296f4ad206efd0ed0c611680d7a79"}} {"question": "In dcache_core_data_ram, three RTL signals (ram, ram_read0_q and ram_read1_q) don't map to anything in the netlist. Is that consistent with how many registers and always blocks the RTL declares, and what does it mean for the overall RTL-to-netlist alignment?", "answer": "In dcache_core_data_ram, the static analysis finds 3 regs and 2 always blocks, and the 3 unmapped elements are exactly those registers (ram, ram_read0_q, ram_read1_q). Only the 4 clock and reset inputs map, so the alignment score is 57.14 even though the netlist has 484 wires and 0 cells, which suggests the memory and its read registers were not inferred as cells.", "source_file": "github_repos/ultraembedded_riscv/top_cache_axi/src_v/dcache_core_data_ram.v", "module_name": "dcache_core_data_ram", "tool_name": "cross_stage_mapper+static_analyzer", "tool_parameters": [{}, {"analysis_type": "full"}], "tool_result": "[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"rst0_i\": [\n \"rst0_i\"\n ],\n \"rst1_i\": [\n \"rst1_i\"\n ],\n \"clk1_i\": [\n \"clk1_i\"\n ],\n \"ram_read0_q\": [],\n \"clk0_i\": [\n \"clk0_i\"\n ],\n \"ram\": [],\n \"ram_read1_q\": []\n },\n \"alignment_score\": 57.14,\n \"unmapped_elements\": [\n \"ram_read0_q\",\n \"ram\",\n \"ram_read1_q\"\n ],\n \"mapping_statistics\": {\n \"rtl_signals\": 7,\n \"netlist_wires\": 484,\n \"netlist_cells\": 0,\n \"mapped_signals\": 4,\n \"unmapped_signals\": 3\n },\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"dcache_core_data_ram\",\n \"port_count\": {\n \"inputs\": 4,\n \"outputs\": 0,\n \"inouts\": 0,\n \"total\": 4\n },\n \"signal_count\": {\n \"wires\": 0,\n \"regs\": 3,\n \"parameters\": 0,\n \"total\": 3\n },\n \"always_blocks\": 2,\n \"assign_statements\": 2,\n \"instantiations\": [\n \"CONSEQUENTIAL\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 47,\n \"total_lines\": 113,\n \"cyclomatic_complexity\": 9,\n \"nesting_depth\": 2,\n \"operator_count\": 598\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "category": "multi_tool", "subcategory": "cross_stage_mapper+static_analyzer", "difficulty": "compositional", "question_hash": "6554a9c21b28", "stage1_target": "[{\"tool\": \"cross_stage_mapper\", \"parameters\": {}}, {\"tool\": \"static_analyzer\", \"parameters\": {\"analysis_type\": \"full\"}}]", "stage2_context": "Question: In dcache_core_data_ram, three RTL signals (ram, ram_read0_q and ram_read1_q) don't map to anything in the netlist. Is that consistent with how many registers and always blocks the RTL declares, and what does it mean for the overall RTL-to-netlist alignment?\n\n[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"rst0_i\": [\n \"rst0_i\"\n ],\n \"rst1_i\": [\n \"rst1_i\"\n ],\n \"clk1_i\": [\n \"clk1_i\"\n ],\n \"ram_read0_q\": [],\n \"clk0_i\": [\n \"clk0_i\"\n ],\n \"ram\": [],\n \"ram_read1_q\": []\n },\n \"alignment_score\": 57.14,\n \"unmapped_elements\": [\n \"ram_read0_q\",\n \"ram\",\n \"ram_read1_q\"\n ],\n \"mapping_statistics\": {\n \"rtl_signals\": 7,\n \"netlist_wires\": 484,\n \"netlist_cells\": 0,\n \"mapped_signals\": 4,\n \"unmapped_signals\": 3\n },\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"dcache_core_data_ram\",\n \"port_count\": {\n \"inputs\": 4,\n \"outputs\": 0,\n \"inouts\": 0,\n \"total\": 4\n },\n \"signal_count\": {\n \"wires\": 0,\n \"regs\": 3,\n \"parameters\": 0,\n \"total\": 3\n },\n \"always_blocks\": 2,\n \"assign_statements\": 2,\n \"instantiations\": [\n \"CONSEQUENTIAL\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 47,\n \"total_lines\": 113,\n \"cyclomatic_complexity\": 9,\n \"nesting_depth\": 2,\n \"operator_count\": 598\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "plan_id": "40c5af91a65f", "design_id": "32b43003b090", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/ultraembedded/riscv", "commit": "7ae6f803e30f78c6ea3121e73c3adf50ff912730", "path": "top_cache_axi/src_v/dcache_core_data_ram.v", "sha256": "421b5cf828adb66e355ffda8e6223a5421d296f4ad206efd0ed0c611680d7a79"}} {"question": "For NV_NVDLA_RUBIK_rf_ctrl, how well do the RTL signals carry through to the netlist, and how does that compare with the sequential structure shown in the module's DFG? In particular, are the unmapped signals mostly registers such as the read/write pointers and total row/column registers?", "answer": "In NV_NVDLA_RUBIK_rf_ctrl, 80 of 100 RTL signals map to the netlist, for an alignment score of 80.0. The 20 unmapped signals include register-like elements such as rf_wptr, rf_rptr, wr_total_row_reg and rd_total_col_reg. The DFG has 177 nodes, including 17 $adffe and 2 $adff flip-flops alongside 46 $mux nodes, so the module does have a lot of sequential state, and many of those registers were probably merged or renamed during synthesis rather than kept under their RTL names.", "source_file": "github_repos/nvdla_hw/vmod/nvdla/rubik/NV_NVDLA_RUBIK_rf_ctrl.v", "module_name": "NV_NVDLA_RUBIK_rf_ctrl", "tool_name": "cross_stage_mapper+graph_extractor", "tool_parameters": [{}, {"graph_type": "DFG"}], "tool_result": "[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"reg2dp_in_precision\": [\n \"reg2dp_in_precision\"\n ],\n \"rd_total_row_tmp\": [\n \"rd_total_row_tmp\"\n ],\n \"rf_wr_cmd_ordy\": [\n \"rf_wr_cmd_ordy\"\n ],\n \"inwidth\": [\n \"inwidth\"\n ],\n \"mon_rf_wr_rcnt\": [],\n \"rf_rd_ccnt\": [\n \"rf_rd_ccnt_inc\"\n ],\n \"nvdla_core_clk\": [\n \"nvdla_core_clk\"\n ],\n \"m_contract\": [\n \"m_contra\n...[4376 chars elided]...\n\"\n ],\n \"rf_wr_addr\": [],\n \"merge_rd_mask\": [\n \"merge_rd_mask\"\n ],\n \"rf_rd_grp_end\": [\n \"rf_rd_grp_end\"\n ],\n \"rf_rd_vld\": [\n \"rf_rd_vld\"\n ]\n },\n \"alignment_score\": 80.0,\n \"unmapped_elements\": [\n \"mon_rf_wr_rcnt\",\n \"rf_wr_cmd_open\",\n \"rf_rptr\",\n \"mon_rf_rd_ccnt\",\n \"reg2dp_in_precision_drv1\",\n \"rf_rd_cmd_open\",\n \"rf_rd_cmd_ordy_hold\",\n \"rf_rd_addr\",\n \"funcpoint_cover_off\",\n \"rf_wr_cmd_ordy_hold\",\n \"mon_rf_wr_ccnt\",\n \"reg2dp_rubik_mode_drv1\",\n \"wr_total_row_reg\",\n \"rd_total_col_reg\",\n \"mon_rf_rd_gcnt\",\n \"rf_wptr\",\n \"wr_total_col_reg\",\n \"rd_total_row_reg\",\n \"mon_rf_rd_rcnt\",\n \"rf_wr_addr\"\n ],\n \"mapping_statistics\": {\n \"rtl_signals\": 100,\n \"netlist_wires\": 3982,\n \"netlist_cells\": 0,\n \"mapped_signals\": 80,\n \"unmapped_signals\": 20\n },\n \"error\": null\n}\n\n[graph_extractor {\"graph_type\": \"DFG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"DFG\",\n...[61177 chars elided]...\n \"node_count\": 177,\n \"edge_count\": 2613,\n \"graph_properties\": {\n \"node_types\": {\n \"$logic_not\": 2,\n \"$eq\": 9,\n \"$and\": 25,\n \"$not\": 7,\n \"$or\": 3,\n \"$add\": 16,\n \"$ge\": 4,\n \"$mux\": 46,\n \"$gt\": 1,\n \"$reduce_or\": 1,\n \"$sub\": 4,\n \"$xor\": 1,\n \"$adffe\": 17,\n \"$reduce_bool\": 11,\n \"$adff\": 2,\n \"NV_NVDLA_RUBIK_rf_rcmd\": 1,\n \"NV_NVDLA_RUBIK_rf_wcmd\": 1,\n \"port_input\": 15,\n \"port_output\": 11\n },\n \"avg_degree\": 14.76,\n \"module_name\": \"NV_NVDLA_RUBIK_rf_ctrl\"\n },\n \"error\": null\n}", "category": "multi_tool", "subcategory": "cross_stage_mapper+graph_extractor", "difficulty": "compositional", "question_hash": "6fa540f5ed22", "stage1_target": "[{\"tool\": \"cross_stage_mapper\", \"parameters\": {}}, {\"tool\": \"graph_extractor\", \"parameters\": {\"graph_type\": \"DFG\"}}]", "stage2_context": "Question: For NV_NVDLA_RUBIK_rf_ctrl, how well do the RTL signals carry through to the netlist, and how does that compare with the sequential structure shown in the module's DFG? In particular, are the unmapped signals mostly registers such as the read/write pointers and total row/column registers?\n\n[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"reg2dp_in_precision\": [\n \"reg2dp_in_precision\"\n ],\n \"rd_total_row_tmp\": [\n \"rd_total_row_tmp\"\n ],\n \"rf_wr_cmd_ordy\": [\n \"rf_wr_cmd_ordy\"\n ],\n \"inwidth\": [\n \"inwidth\"\n ],\n \"mon_rf_wr_rcnt\": [],\n \"rf_rd_ccnt\": [\n \"rf_rd_ccnt_inc\"\n ],\n \"nvdla_core_clk\": [\n \"nvdla_core_clk\"\n ],\n \"m_contract\": [\n \"m_contra\n...[4376 chars elided]...\n\"\n ],\n \"rf_wr_addr\": [],\n \"merge_rd_mask\": [\n \"merge_rd_mask\"\n ],\n \"rf_rd_grp_end\": [\n \"rf_rd_grp_end\"\n ],\n \"rf_rd_vld\": [\n \"rf_rd_vld\"\n ]\n },\n \"alignment_score\": 80.0,\n \"unmapped_elements\": [\n \"mon_rf_wr_rcnt\",\n \"rf_wr_cmd_open\",\n \"rf_rptr\",\n \"mon_rf_rd_ccnt\",\n \"reg2dp_in_precision_drv1\",\n \"rf_rd_cmd_open\",\n \"rf_rd_cmd_ordy_hold\",\n \"rf_rd_addr\",\n \"funcpoint_cover_off\",\n \"rf_wr_cmd_ordy_hold\",\n \"mon_rf_wr_ccnt\",\n \"reg2dp_rubik_mode_drv1\",\n \"wr_total_row_reg\",\n \"rd_total_col_reg\",\n \"mon_rf_rd_gcnt\",\n \"rf_wptr\",\n \"wr_total_col_reg\",\n \"rd_total_row_reg\",\n \"mon_rf_rd_rcnt\",\n \"rf_wr_addr\"\n ],\n \"mapping_statistics\": {\n \"rtl_signals\": 100,\n \"netlist_wires\": 3982,\n \"netlist_cells\": 0,\n \"mapped_signals\": 80,\n \"unmapped_signals\": 20\n },\n \"error\": null\n}\n\n[graph_extractor {\"graph_type\": \"DFG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"DFG\",\n...[61177 chars elided]...\n \"node_count\": 177,\n \"edge_count\": 2613,\n \"graph_properties\": {\n \"node_types\": {\n \"$logic_not\": 2,\n \"$eq\": 9,\n \"$and\": 25,\n \"$not\": 7,\n \"$or\": 3,\n \"$add\": 16,\n \"$ge\": 4,\n \"$mux\": 46,\n \"$gt\": 1,\n \"$reduce_or\": 1,\n \"$sub\": 4,\n \"$xor\": 1,\n \"$adffe\": 17,\n \"$reduce_bool\": 11,\n \"$adff\": 2,\n \"NV_NVDLA_RUBIK_rf_rcmd\": 1,\n \"NV_NVDLA_RUBIK_rf_wcmd\": 1,\n \"port_input\": 15,\n \"port_output\": 11\n },\n \"avg_degree\": 14.76,\n \"module_name\": \"NV_NVDLA_RUBIK_rf_ctrl\"\n },\n \"error\": null\n}", "plan_id": "942fe436dc8c", "design_id": "3607471805ab", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/nvdla/hw", "commit": "8e06b1b9d85aab65b40d43d08eec5ea4681ff715", "path": "vmod/nvdla/rubik/NV_NVDLA_RUBIK_rf_ctrl.v", "sha256": "b8f920e9c04e4cb520ca4cfeac54c946c4a64fd8cda9f709125e46789ddf8803"}} {"question": "For NV_NVDLA_RUBIK_rf_ctrl, how does the sequential logic in the CDFG compare with the RTL structure? Specifically, how many flip-flop cells does the CDFG contain compared with the always blocks and regs declared in the source, and how do the 46 mux nodes relate to the code's cyclomatic complexity?", "answer": "The CDFG of NV_NVDLA_RUBIK_rf_ctrl has 17 $adffe and 2 $adff flip-flop cells. The source declares 17 always blocks and 25 regs. The 46 $mux nodes reflect the heavy branching in the code, which has a cyclomatic complexity of 83 and 452 lines of code.", "source_file": "github_repos/nvdla_hw/vmod/nvdla/rubik/NV_NVDLA_RUBIK_rf_ctrl.v", "module_name": "NV_NVDLA_RUBIK_rf_ctrl", "tool_name": "graph_extractor+static_analyzer", "tool_parameters": [{"graph_type": "CDFG"}, {"analysis_type": "full"}], "tool_result": "[graph_extractor {\"graph_type\": \"CDFG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"CDFG\",\n...[61178 chars elided]...\n \"node_count\": 177,\n \"edge_count\": 2613,\n \"graph_properties\": {\n \"node_types\": {\n \"$logic_not\": 2,\n \"$eq\": 9,\n \"$and\": 25,\n \"$not\": 7,\n \"$or\": 3,\n \"$add\": 16,\n \"$ge\": 4,\n \"$mux\": 46,\n \"$gt\": 1,\n \"$reduce_or\": 1,\n \"$sub\": 4,\n \"$xor\": 1,\n \"$adffe\": 17,\n \"$reduce_bool\": 11,\n \"$adff\": 2,\n \"NV_NVDLA_RUBIK_rf_rcmd\": 1,\n \"NV_NVDLA_RUBIK_rf_wcmd\": 1,\n \"port_input\": 15,\n \"port_output\": 11\n },\n \"avg_degree\": 14.76,\n \"module_name\": \"NV_NVDLA_RUBIK_rf_ctrl\"\n },\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"NV_NVDLA_RUBIK_rf_ctrl\",\n \"port_count\": {\n \"inputs\": 15,\n \"outputs\": 11,\n \"inouts\": 0,\n \"total\": 26\n },\n \"signal_count\": {\n \"wires\": 51,\n \"regs\": 25,\n \"parameters\": 0,\n \"total\": 76\n },\n \"always_blocks\": 17,\n \"assign_statements\": 49,\n \"instantiations\": [\n \"NV_NVDLA_RUBIK_rf_rcmd\",\n \"cover\",\n \"NV_NVDLA_RUBIK_rf_wcmd\",\n \"disable\",\n \"is\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 452,\n \"total_lines\": 575,\n \"cyclomatic_complexity\": 83,\n \"nesting_depth\": 74,\n \"operator_count\": 1259\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "category": "multi_tool", "subcategory": "graph_extractor+static_analyzer", "difficulty": "compositional", "question_hash": "d4829be3c5dc", "stage1_target": "[{\"tool\": \"graph_extractor\", \"parameters\": {\"graph_type\": \"CDFG\"}}, {\"tool\": \"static_analyzer\", \"parameters\": {\"analysis_type\": \"full\"}}]", "stage2_context": "Question: For NV_NVDLA_RUBIK_rf_ctrl, how does the sequential logic in the CDFG compare with the RTL structure? Specifically, how many flip-flop cells does the CDFG contain compared with the always blocks and regs declared in the source, and how do the 46 mux nodes relate to the code's cyclomatic complexity?\n\n[graph_extractor {\"graph_type\": \"CDFG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"CDFG\",\n...[61178 chars elided]...\n \"node_count\": 177,\n \"edge_count\": 2613,\n \"graph_properties\": {\n \"node_types\": {\n \"$logic_not\": 2,\n \"$eq\": 9,\n \"$and\": 25,\n \"$not\": 7,\n \"$or\": 3,\n \"$add\": 16,\n \"$ge\": 4,\n \"$mux\": 46,\n \"$gt\": 1,\n \"$reduce_or\": 1,\n \"$sub\": 4,\n \"$xor\": 1,\n \"$adffe\": 17,\n \"$reduce_bool\": 11,\n \"$adff\": 2,\n \"NV_NVDLA_RUBIK_rf_rcmd\": 1,\n \"NV_NVDLA_RUBIK_rf_wcmd\": 1,\n \"port_input\": 15,\n \"port_output\": 11\n },\n \"avg_degree\": 14.76,\n \"module_name\": \"NV_NVDLA_RUBIK_rf_ctrl\"\n },\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"NV_NVDLA_RUBIK_rf_ctrl\",\n \"port_count\": {\n \"inputs\": 15,\n \"outputs\": 11,\n \"inouts\": 0,\n \"total\": 26\n },\n \"signal_count\": {\n \"wires\": 51,\n \"regs\": 25,\n \"parameters\": 0,\n \"total\": 76\n },\n \"always_blocks\": 17,\n \"assign_statements\": 49,\n \"instantiations\": [\n \"NV_NVDLA_RUBIK_rf_rcmd\",\n \"cover\",\n \"NV_NVDLA_RUBIK_rf_wcmd\",\n \"disable\",\n \"is\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 452,\n \"total_lines\": 575,\n \"cyclomatic_complexity\": 83,\n \"nesting_depth\": 74,\n \"operator_count\": 1259\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "plan_id": "9dbebd1078fb", "design_id": "3607471805ab", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/nvdla/hw", "commit": "8e06b1b9d85aab65b40d43d08eec5ea4681ff715", "path": "vmod/nvdla/rubik/NV_NVDLA_RUBIK_rf_ctrl.v", "sha256": "b8f920e9c04e4cb520ca4cfeac54c946c4a64fd8cda9f709125e46789ddf8803"}} {"question": "For the scan flip-flop SDFQD1, how well does the small amount of source code match the gate-level result at medium optimization? Specifically, compare its single always block and cyclomatic complexity of the source with the synthesized cell breakdown, area and critical-path delay.", "answer": "SDFQD1 has 19 lines of code, 1 always block and a cyclomatic complexity of 2, and this matches the very small netlist it synthesizes to: 4 gates (1 $_DFF_P_, 2 $_NAND_ and 1 $_ORNOT_) with area 7.5 and a critical-path delay of 109.89. The 2-to-1 scan mux in front of the single register needs only the three logic gates.", "source_file": "github_repos/nvdla_hw/vmod/vlibs/SDFQD1.v", "module_name": "SDFQD1", "tool_name": "static_analyzer+synthesis_tool", "tool_parameters": [{"analysis_type": "full"}, {"optimization_level": "medium"}], "tool_result": "[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"SDFQD1\",\n \"port_count\": {\n \"inputs\": 4,\n \"outputs\": 1,\n \"inouts\": 0,\n \"total\": 5\n },\n \"signal_count\": {\n \"wires\": 0,\n \"regs\": 1,\n \"parameters\": 0,\n \"total\": 1\n },\n \"always_blocks\": 1,\n \"assign_statements\": 1,\n \"instantiations\": [],\n \"code_complexity\": {\n \"lines_of_code\": 19,\n \"total_lines\": 33,\n \"cyclomatic_complexity\": 2,\n \"nesting_depth\": 1,\n \"operator_count\": 148\n },\n \"lint_warnings\": [],\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 7.5,\n \"delay\": 109.89,\n \"power\": 0.004,\n \"gate_count\": 4,\n \"cell_breakdown\": {\n \"$_DFF_P_\": 1,\n \"$_NAND_\": 2,\n \"$_ORNOT_\": 1\n },\n \"wire_count\": 8,\n \"wire_bits\": 8,\n \"critical_path_estimate\": 109.89,\n...[1121 chars elided]...\n \"error\": null\n}", "category": "multi_tool", "subcategory": "static_analyzer+synthesis_tool", "difficulty": "compositional", "question_hash": "eb26876ae535", "stage1_target": "[{\"tool\": \"static_analyzer\", \"parameters\": {\"analysis_type\": \"full\"}}, {\"tool\": \"synthesis_tool\", \"parameters\": {\"optimization_level\": \"medium\"}}]", "stage2_context": "Question: For the scan flip-flop SDFQD1, how well does the small amount of source code match the gate-level result at medium optimization? Specifically, compare its single always block and cyclomatic complexity of the source with the synthesized cell breakdown, area and critical-path delay.\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"SDFQD1\",\n \"port_count\": {\n \"inputs\": 4,\n \"outputs\": 1,\n \"inouts\": 0,\n \"total\": 5\n },\n \"signal_count\": {\n \"wires\": 0,\n \"regs\": 1,\n \"parameters\": 0,\n \"total\": 1\n },\n \"always_blocks\": 1,\n \"assign_statements\": 1,\n \"instantiations\": [],\n \"code_complexity\": {\n \"lines_of_code\": 19,\n \"total_lines\": 33,\n \"cyclomatic_complexity\": 2,\n \"nesting_depth\": 1,\n \"operator_count\": 148\n },\n \"lint_warnings\": [],\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 7.5,\n \"delay\": 109.89,\n \"power\": 0.004,\n \"gate_count\": 4,\n \"cell_breakdown\": {\n \"$_DFF_P_\": 1,\n \"$_NAND_\": 2,\n \"$_ORNOT_\": 1\n },\n \"wire_count\": 8,\n \"wire_bits\": 8,\n \"critical_path_estimate\": 109.89,\n...[1121 chars elided]...\n \"error\": null\n}", "plan_id": "d7f7b5d78fe5", "design_id": "36947280d64b", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/nvdla/hw", "commit": "8e06b1b9d85aab65b40d43d08eec5ea4681ff715", "path": "vmod/vlibs/SDFQD1.v", "sha256": "516bfb250faabc5496fd015278836e4eab7c93a798b180f8083aea76ccd6fb60"}} {"question": "For fp_format_cvt, the timing-driven (delay-targeted) optimization proposes pipelining arithmetic operations. Given the module's structure, including its existing pipeline submodule, its register count and how complex the control logic is, does that suggestion seem reasonable, and what delay gain and area cost should I expect?", "answer": "fp_format_cvt already instantiates FP_FORMAT_CVT_pipe_p1 alongside converters such as HLS_fp16_to_fp32, yet it has only 7 regs across 5 always blocks, while its logic is dense, with a cyclomatic complexity of 20 and a nesting depth of 7. That makes further pipelining or register retiming a reasonable step. The delay-targeted flow estimates a delay change of -20.0 at an area cost of 10.0, and it warns that speed optimization increases area and raises power consumption (estimated at 5.0).", "source_file": "github_repos/nvdla_hw/vmod/nvdla/cdp/fp_format_cvt.v", "module_name": "fp_format_cvt", "tool_name": "optimization_advisor+static_analyzer", "tool_parameters": [{"target_metric": "delay"}, {"analysis_type": "full"}], "tool_result": "[optimization_advisor {\"target_metric\": \"delay\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"delay\",\n \"recommended_recipes\": [\n \"synth -top fp_format_cvt\",\n \"opt -fast\",\n \"abc -fast -liberty stdcells.lib\",\n \"opt_clean\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"pipeline_insertion\",\n \"description\": \"Consider pipelining arithmetic operations\",\n \"command\": \"Use register retiming\"\n },\n {\n \"type\": \"logic_duplication\",\n \"description\": \"Duplicate logic to reduce fanout\",\n \"command\": \"splitnets -driver\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": 10.0,\n \"delay\": -20.0,\n \"power\": 5.0\n },\n \"trade_offs\": [\n \"Speed optimization increases area\",\n \"Higher power consumption\"\n ],\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"fp_format_cvt\",\n \"port_count\": {\n \"inputs\": 17,\n \"outputs\": 14,\n \"inouts\": 0,\n \"total\": 31\n },\n \"signal_count\": {\n \"wires\": 31,\n \"regs\": 7,\n \"parameters\": 0,\n \"total\": 38\n },\n \"always_blocks\": 5,\n \"assign_statements\": 30,\n \"instantiations\": [\n \"HLS_uint16_to_fp17\",\n \"define\",\n \"HLS_fp16_to_fp17\",\n \"HLS_fp16_to_fp32\",\n \"FP_FORMAT_CVT_pipe_p1\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 281,\n \"total_lines\": 432,\n \"cyclomatic_complexity\": 20,\n \"nesting_depth\": 7,\n \"operator_count\": 1405\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "category": "multi_tool", "subcategory": "optimization_advisor+static_analyzer", "difficulty": "compositional", "question_hash": "71cbbeffb8ff", "stage1_target": "[{\"tool\": \"optimization_advisor\", \"parameters\": {\"target_metric\": \"delay\"}}, {\"tool\": \"static_analyzer\", \"parameters\": {\"analysis_type\": \"full\"}}]", "stage2_context": "Question: For fp_format_cvt, the timing-driven (delay-targeted) optimization proposes pipelining arithmetic operations. Given the module's structure, including its existing pipeline submodule, its register count and how complex the control logic is, does that suggestion seem reasonable, and what delay gain and area cost should I expect?\n\n[optimization_advisor {\"target_metric\": \"delay\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"delay\",\n \"recommended_recipes\": [\n \"synth -top fp_format_cvt\",\n \"opt -fast\",\n \"abc -fast -liberty stdcells.lib\",\n \"opt_clean\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"pipeline_insertion\",\n \"description\": \"Consider pipelining arithmetic operations\",\n \"command\": \"Use register retiming\"\n },\n {\n \"type\": \"logic_duplication\",\n \"description\": \"Duplicate logic to reduce fanout\",\n \"command\": \"splitnets -driver\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": 10.0,\n \"delay\": -20.0,\n \"power\": 5.0\n },\n \"trade_offs\": [\n \"Speed optimization increases area\",\n \"Higher power consumption\"\n ],\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"fp_format_cvt\",\n \"port_count\": {\n \"inputs\": 17,\n \"outputs\": 14,\n \"inouts\": 0,\n \"total\": 31\n },\n \"signal_count\": {\n \"wires\": 31,\n \"regs\": 7,\n \"parameters\": 0,\n \"total\": 38\n },\n \"always_blocks\": 5,\n \"assign_statements\": 30,\n \"instantiations\": [\n \"HLS_uint16_to_fp17\",\n \"define\",\n \"HLS_fp16_to_fp17\",\n \"HLS_fp16_to_fp32\",\n \"FP_FORMAT_CVT_pipe_p1\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 281,\n \"total_lines\": 432,\n \"cyclomatic_complexity\": 20,\n \"nesting_depth\": 7,\n \"operator_count\": 1405\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "plan_id": "600537f24251", "design_id": "37aaec7ab6eb", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/nvdla/hw", "commit": "8e06b1b9d85aab65b40d43d08eec5ea4681ff715", "path": "vmod/nvdla/cdp/fp_format_cvt.v", "sha256": "9e4a9d30e5bd25c7c7da1a20aa83856178c7f6f301adb406b1dd0120175e1911"}} {"question": "For NV_NVDLA_RUBIK_single_reg, the AIG shows a design dominated by combinational logic with only one flip-flop. Given that, how much does a delay-targeted optimization promise to improve timing, what does it cost in area, and does its suggestion to pipeline arithmetic operations make sense for this structure?", "answer": "The AIG for NV_NVDLA_RUBIK_single_reg has 606 nodes: 252 AND gates, 343 NOT gates and just 1 $_DFFE_PN0P_ flip-flop, so almost all of it is combinational register-decode logic. The delay-targeted optimization estimates a delay change of -20.0 in exchange for an area change of 10.0 and a power change of 5.0, mainly through the 'splitnets -driver' logic duplication to reduce fanout. Pipelining arithmetic operations fits this structure poorly, because there is essentially no arithmetic datapath and only a single register to retime.", "source_file": "github_repos/nvdla_hw/vmod/nvdla/rubik/NV_NVDLA_RUBIK_single_reg.v", "module_name": "NV_NVDLA_RUBIK_single_reg", "tool_name": "graph_extractor+optimization_advisor", "tool_parameters": [{"graph_type": "AIG"}, {"target_metric": "delay"}], "tool_result": "[graph_extractor {\"graph_type\": \"AIG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"AIG\",\n...[33390 chars elided]...\n \"node_count\": 606,\n \"edge_count\": 1447,\n \"graph_properties\": {\n \"node_types\": {\n \"$_AND_\": 252,\n \"$_NOT_\": 343,\n \"$_DFFE_PN0P_\": 1,\n \"port_output\": 2,\n \"port_input\": 8\n },\n \"avg_degree\": 2.39,\n \"module_name\": \"NV_NVDLA_RUBIK_single_reg\"\n },\n \"error\": null\n}\n\n[optimization_advisor {\"target_metric\": \"delay\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"delay\",\n \"recommended_recipes\": [\n \"synth -top NV_NVDLA_RUBIK_single_reg\",\n \"opt -fast\",\n \"abc -fast -liberty stdcells.lib\",\n \"opt_clean\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"pipeline_insertion\",\n \"description\": \"Consider pipelining arithmetic operations\",\n \"command\": \"Use register retiming\"\n },\n {\n \"type\": \"logic_duplication\",\n \"description\": \"Duplicate logic to reduce fanout\",\n \"command\": \"splitnets -driver\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": 10.0,\n \"delay\": -20.0,\n \"power\": 5.0\n },\n \"trade_offs\": [\n \"Speed optimization increases area\",\n \"Higher power consumption\"\n ],\n \"error\": null\n}", "category": "multi_tool", "subcategory": "graph_extractor+optimization_advisor", "difficulty": "compositional", "question_hash": "07c43b709bf4", "stage1_target": "[{\"tool\": \"graph_extractor\", \"parameters\": {\"graph_type\": \"AIG\"}}, {\"tool\": \"optimization_advisor\", \"parameters\": {\"target_metric\": \"delay\"}}]", "stage2_context": "Question: For NV_NVDLA_RUBIK_single_reg, the AIG shows a design dominated by combinational logic with only one flip-flop. Given that, how much does a delay-targeted optimization promise to improve timing, what does it cost in area, and does its suggestion to pipeline arithmetic operations make sense for this structure?\n\n[graph_extractor {\"graph_type\": \"AIG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"AIG\",\n...[33390 chars elided]...\n \"node_count\": 606,\n \"edge_count\": 1447,\n \"graph_properties\": {\n \"node_types\": {\n \"$_AND_\": 252,\n \"$_NOT_\": 343,\n \"$_DFFE_PN0P_\": 1,\n \"port_output\": 2,\n \"port_input\": 8\n },\n \"avg_degree\": 2.39,\n \"module_name\": \"NV_NVDLA_RUBIK_single_reg\"\n },\n \"error\": null\n}\n\n[optimization_advisor {\"target_metric\": \"delay\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"delay\",\n \"recommended_recipes\": [\n \"synth -top NV_NVDLA_RUBIK_single_reg\",\n \"opt -fast\",\n \"abc -fast -liberty stdcells.lib\",\n \"opt_clean\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"pipeline_insertion\",\n \"description\": \"Consider pipelining arithmetic operations\",\n \"command\": \"Use register retiming\"\n },\n {\n \"type\": \"logic_duplication\",\n \"description\": \"Duplicate logic to reduce fanout\",\n \"command\": \"splitnets -driver\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": 10.0,\n \"delay\": -20.0,\n \"power\": 5.0\n },\n \"trade_offs\": [\n \"Speed optimization increases area\",\n \"Higher power consumption\"\n ],\n \"error\": null\n}", "plan_id": "c37c564be25d", "design_id": "3b0d42c09d36", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/nvdla/hw", "commit": "8e06b1b9d85aab65b40d43d08eec5ea4681ff715", "path": "vmod/nvdla/rubik/NV_NVDLA_RUBIK_single_reg.v", "sha256": "773fe8ed893920ee79e366fb5ff5fe387fa2d641a88d4cbb80ff2094283d3075"}} {"question": "For NV_NVDLA_GLB_fc, does the register count in the DFG agree with the 2 regs the source declares, and given the code's cyclomatic complexity and nesting depth, how complex is the control logic in the graph really?", "answer": "The DFG for NV_NVDLA_GLB_fc has exactly one $adffe and one $adff, which matches the 2 regs and 2 always blocks in the source, and the 8 inputs and 3 outputs match on both sides. The cyclomatic complexity of 16 and nesting depth of 9 sound high, but in the graph they come down to only 2 $mux nodes, 3 $and nodes, 1 $or node and 1 $not node, 20 nodes in total.", "source_file": "github_repos/nvdla_hw/vmod/nvdla/glb/NV_NVDLA_GLB_fc.v", "module_name": "NV_NVDLA_GLB_fc", "tool_name": "graph_extractor+static_analyzer", "tool_parameters": [{"graph_type": "DFG"}, {"analysis_type": "full"}], "tool_result": "[graph_extractor {\"graph_type\": \"DFG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"DFG\",\n...[25136 chars elided]...\n \"node_count\": 20,\n \"edge_count\": 295,\n \"graph_properties\": {\n \"node_types\": {\n \"$and\": 3,\n \"$not\": 1,\n \"$mux\": 2,\n \"$or\": 1,\n \"$adffe\": 1,\n \"$adff\": 1,\n \"port_input\": 8,\n \"port_output\": 3\n },\n \"avg_degree\": 14.75,\n \"module_name\": \"NV_NVDLA_GLB_fc\"\n },\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"NV_NVDLA_GLB_fc\",\n \"port_count\": {\n \"inputs\": 8,\n \"outputs\": 3,\n \"inouts\": 0,\n \"total\": 11\n },\n \"signal_count\": {\n \"wires\": 18,\n \"regs\": 2,\n \"parameters\": 0,\n \"total\": 20\n },\n \"always_blocks\": 2,\n \"assign_statements\": 23,\n \"instantiations\": [\n \"define\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 112,\n \"total_lines\": 170,\n \"cyclomatic_complexity\": 16,\n \"nesting_depth\": 9,\n \"operator_count\": 289\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "category": "multi_tool", "subcategory": "graph_extractor+static_analyzer", "difficulty": "compositional", "question_hash": "0be41f7a151e", "stage1_target": "[{\"tool\": \"graph_extractor\", \"parameters\": {\"graph_type\": \"DFG\"}}, {\"tool\": \"static_analyzer\", \"parameters\": {\"analysis_type\": \"full\"}}]", "stage2_context": "Question: For NV_NVDLA_GLB_fc, does the register count in the DFG agree with the 2 regs the source declares, and given the code's cyclomatic complexity and nesting depth, how complex is the control logic in the graph really?\n\n[graph_extractor {\"graph_type\": \"DFG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"DFG\",\n...[25136 chars elided]...\n \"node_count\": 20,\n \"edge_count\": 295,\n \"graph_properties\": {\n \"node_types\": {\n \"$and\": 3,\n \"$not\": 1,\n \"$mux\": 2,\n \"$or\": 1,\n \"$adffe\": 1,\n \"$adff\": 1,\n \"port_input\": 8,\n \"port_output\": 3\n },\n \"avg_degree\": 14.75,\n \"module_name\": \"NV_NVDLA_GLB_fc\"\n },\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"NV_NVDLA_GLB_fc\",\n \"port_count\": {\n \"inputs\": 8,\n \"outputs\": 3,\n \"inouts\": 0,\n \"total\": 11\n },\n \"signal_count\": {\n \"wires\": 18,\n \"regs\": 2,\n \"parameters\": 0,\n \"total\": 20\n },\n \"always_blocks\": 2,\n \"assign_statements\": 23,\n \"instantiations\": [\n \"define\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 112,\n \"total_lines\": 170,\n \"cyclomatic_complexity\": 16,\n \"nesting_depth\": 9,\n \"operator_count\": 289\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "plan_id": "9838bb3567a0", "design_id": "3a2d37d8b664", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/nvdla/hw", "commit": "8e06b1b9d85aab65b40d43d08eec5ea4681ff715", "path": "vmod/nvdla/glb/NV_NVDLA_GLB_fc.v", "sha256": "700551c47b6638e5c65a1cf917d978ad58726e5b7a03c88c033736f83211603a"}} {"question": "In tcm_mem, five RTL registers have no matching netlist name after medium-effort synthesis. How should I read that next to the flip-flop counts and the overall area and delay of the synthesized design?", "answer": "In tcm_mem, the RTL-to-netlist alignment score is 88.1, with 37 of 42 RTL signals mapped. The 5 unmapped signals are all registers (mem_d_tag_q, ext_ack_q, mem_d_accept_q, mem_d_ack_q and mem_i_valid_q). The synthesized design still contains registers, as 11 $_DFFE_PP0P_, 3 $_DFF_PP0_ and 1 $_DFF_PP1_ cells, so these state elements were most likely renamed or merged into those flops rather than removed, in a netlist with an area of 207.5 and a critical-path delay of 223.04.", "source_file": "github_repos/ultraembedded_riscv/top_tcm_axi/src_v/tcm_mem.v", "module_name": "tcm_mem", "tool_name": "cross_stage_mapper+synthesis_tool", "tool_parameters": [{}, {"optimization_level": "medium"}], "tool_result": "[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"muxed_wr_w\": [\n \"muxed_wr_w\"\n ],\n \"axi_arready_o\": [\n \"axi_arready_o\"\n ],\n \"mem_i_error_o\": [\n \"mem_i_error_o\"\n ],\n \"mem_i_flush_i\": [\n \"mem_i_flush_i\"\n ],\n \"ext_accept_w\": [\n \"ext_accept_w\"\n ],\n \"axi_wlast_i\": [\n \"axi_wlast_i\"\n ],\n \"mem_d_tag_q\": [],\n \"axi_wready_o\": [\n \"axi_wready_o\"\n ],\n \"mem\n...[1255 chars elided]...\n\"mem_i_valid_q\": [],\n \"mem_d_rd_i\": [\n \"mem_d_rd_i\"\n ],\n \"mem_d_cacheable_i\": [\n \"mem_d_cacheable_i\"\n ],\n \"mem_i_accept_o\": [\n \"mem_i_accept_o\"\n ],\n \"mem_d_writeback_i\": [\n \"mem_d_writeback_i\"\n ],\n \"mem_d_flush_i\": [\n \"mem_d_flush_i\"\n ],\n \"axi_arvalid_i\": [\n \"axi_arvalid_i\"\n ],\n \"axi_bvalid_o\": [\n \"axi_bvalid_o\"\n ],\n \"ext_ack_w\": [\n \"ext_ack_w\"\n ],\n \"mem_i_valid_o\": [\n \"mem_i_valid_o\"\n ],\n \"axi_awvalid_i\": [\n \"axi_awvalid_i\"\n ]\n },\n \"alignment_score\": 88.1,\n \"unmapped_elements\": [\n \"mem_d_tag_q\",\n \"ext_ack_q\",\n \"mem_d_accept_q\",\n \"mem_d_ack_q\",\n \"mem_i_valid_q\"\n ],\n \"mapping_statistics\": {\n \"rtl_signals\": 42,\n \"netlist_wires\": 350,\n \"netlist_cells\": 0,\n \"mapped_signals\": 37,\n \"unmapped_signals\": 5\n },\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 207.5,\n \"delay\": 223.04,\n \"power\": 0.182,\n \"gate_count\": 182,\n \"cell_breakdown\": {\n \"$_ANDNOT_\": 2,\n \"$_AND_\": 5,\n \"$_DFFE_PP0P_\": 11,\n \"$_DFF_PP0_\": 3,\n \"$_DFF_PP1_\": 1,\n \"$_NAND_\": 101,\n \"$_NOR_\": 6,\n \"$_NOT_\": 1,\n \"$_ORNOT_\": 50,\n \"tcm_mem_pmem\": 1,\n \"tcm_mem_ram\": 1\n },\n \"wire_count\": 182,\n \"wire_bits\": 708,\n \"critical_path_estimate\": 223.04,\n \"synthesi\n...[1329 chars elided]...\n \"error\": null\n}", "category": "multi_tool", "subcategory": "cross_stage_mapper+synthesis_tool", "difficulty": "compositional", "question_hash": "e7e36359099d", "stage1_target": "[{\"tool\": \"cross_stage_mapper\", \"parameters\": {}}, {\"tool\": \"synthesis_tool\", \"parameters\": {\"optimization_level\": \"medium\"}}]", "stage2_context": "Question: In tcm_mem, five RTL registers have no matching netlist name after medium-effort synthesis. How should I read that next to the flip-flop counts and the overall area and delay of the synthesized design?\n\n[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"muxed_wr_w\": [\n \"muxed_wr_w\"\n ],\n \"axi_arready_o\": [\n \"axi_arready_o\"\n ],\n \"mem_i_error_o\": [\n \"mem_i_error_o\"\n ],\n \"mem_i_flush_i\": [\n \"mem_i_flush_i\"\n ],\n \"ext_accept_w\": [\n \"ext_accept_w\"\n ],\n \"axi_wlast_i\": [\n \"axi_wlast_i\"\n ],\n \"mem_d_tag_q\": [],\n \"axi_wready_o\": [\n \"axi_wready_o\"\n ],\n \"mem\n...[1255 chars elided]...\n\"mem_i_valid_q\": [],\n \"mem_d_rd_i\": [\n \"mem_d_rd_i\"\n ],\n \"mem_d_cacheable_i\": [\n \"mem_d_cacheable_i\"\n ],\n \"mem_i_accept_o\": [\n \"mem_i_accept_o\"\n ],\n \"mem_d_writeback_i\": [\n \"mem_d_writeback_i\"\n ],\n \"mem_d_flush_i\": [\n \"mem_d_flush_i\"\n ],\n \"axi_arvalid_i\": [\n \"axi_arvalid_i\"\n ],\n \"axi_bvalid_o\": [\n \"axi_bvalid_o\"\n ],\n \"ext_ack_w\": [\n \"ext_ack_w\"\n ],\n \"mem_i_valid_o\": [\n \"mem_i_valid_o\"\n ],\n \"axi_awvalid_i\": [\n \"axi_awvalid_i\"\n ]\n },\n \"alignment_score\": 88.1,\n \"unmapped_elements\": [\n \"mem_d_tag_q\",\n \"ext_ack_q\",\n \"mem_d_accept_q\",\n \"mem_d_ack_q\",\n \"mem_i_valid_q\"\n ],\n \"mapping_statistics\": {\n \"rtl_signals\": 42,\n \"netlist_wires\": 350,\n \"netlist_cells\": 0,\n \"mapped_signals\": 37,\n \"unmapped_signals\": 5\n },\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 207.5,\n \"delay\": 223.04,\n \"power\": 0.182,\n \"gate_count\": 182,\n \"cell_breakdown\": {\n \"$_ANDNOT_\": 2,\n \"$_AND_\": 5,\n \"$_DFFE_PP0P_\": 11,\n \"$_DFF_PP0_\": 3,\n \"$_DFF_PP1_\": 1,\n \"$_NAND_\": 101,\n \"$_NOR_\": 6,\n \"$_NOT_\": 1,\n \"$_ORNOT_\": 50,\n \"tcm_mem_pmem\": 1,\n \"tcm_mem_ram\": 1\n },\n \"wire_count\": 182,\n \"wire_bits\": 708,\n \"critical_path_estimate\": 223.04,\n \"synthesi\n...[1329 chars elided]...\n \"error\": null\n}", "plan_id": "be22f7efee4c", "design_id": "3b7f483af027", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/ultraembedded/riscv", "commit": "7ae6f803e30f78c6ea3121e73c3adf50ff912730", "path": "top_tcm_axi/src_v/tcm_mem.v", "sha256": "960e745a4c9ff4c48b7114070d90c54cd415e6a4cc8ab12dffb6100ae4b15504"}} {"question": "For the uart_interrupt module, how well do the RTL signals carry over into the synthesized netlist, and how does that line up with the RTL's structure? Specifically, which RTL elements fail to map, and do the register count and code complexity help explain why?", "answer": "uart_interrupt maps 10 of its 12 RTL signals into a netlist of 147 wires, for an alignment score of 83.33. The only unmapped elements are \"wire\" and the internal register iir_q. The RTL has 3 regs, 3 always blocks, a cyclomatic complexity of 18 and a nesting depth of 5, so iir_q's state logic is likely merged or renamed in the flattened netlist, while all 10 ports keep their names.", "source_file": "github_repos/riscv-mcu_e203_hbirdv2/rtl/e203/perips/apb_uart/uart_interrupt.v", "module_name": "uart_interrupt", "tool_name": "cross_stage_mapper+static_analyzer", "tool_parameters": [{}, {"analysis_type": "full"}], "tool_result": "[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"iir_n\": [\n \"iir_n\"\n ],\n \"clk_i\": [\n \"clk_i\"\n ],\n \"clr_int_i\": [\n \"clr_int_i\"\n ],\n \"wire\": [],\n \"iir_q\": [],\n \"error_i\": [\n \"error_i\"\n ],\n \"IER_i\": [\n \"IER_i\"\n ],\n \"trigger_level_i\": [\n \"trigger_level_i\"\n ],\n \"trigger_level_reached\": [\n \"trigger_level_reached\"\n ],\n \"IIR_o\": [\n \"IIR_o\"\n ],\n \"rstn_i\": [\n \"rstn_i\"\n ],\n \"interrupt_o\": [\n \"interrupt_o\"\n ]\n },\n \"alignment_score\": 83.33,\n \"unmapped_elements\": [\n \"wire\",\n \"iir_q\"\n ],\n \"mapping_statistics\": {\n \"rtl_signals\": 12,\n \"netlist_wires\": 147,\n \"netlist_cells\": 0,\n \"mapped_signals\": 10,\n \"unmapped_signals\": 2\n },\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"uart_interrupt\",\n \"port_count\": {\n \"inputs\": 8,\n \"outputs\": 2,\n \"inouts\": 0,\n \"total\": 10\n },\n \"signal_count\": {\n \"wires\": 8,\n \"regs\": 3,\n \"parameters\": 2,\n \"total\": 11\n },\n \"always_blocks\": 3,\n \"assign_statements\": 2,\n \"instantiations\": [\n \"error\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 60,\n \"total_lines\": 90,\n \"cyclomatic_complexity\": 18,\n \"nesting_depth\": 5,\n \"operator_count\": 84\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "category": "multi_tool", "subcategory": "cross_stage_mapper+static_analyzer", "difficulty": "compositional", "question_hash": "c3de49275673", "stage1_target": "[{\"tool\": \"cross_stage_mapper\", \"parameters\": {}}, {\"tool\": \"static_analyzer\", \"parameters\": {\"analysis_type\": \"full\"}}]", "stage2_context": "Question: For the uart_interrupt module, how well do the RTL signals carry over into the synthesized netlist, and how does that line up with the RTL's structure? Specifically, which RTL elements fail to map, and do the register count and code complexity help explain why?\n\n[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"iir_n\": [\n \"iir_n\"\n ],\n \"clk_i\": [\n \"clk_i\"\n ],\n \"clr_int_i\": [\n \"clr_int_i\"\n ],\n \"wire\": [],\n \"iir_q\": [],\n \"error_i\": [\n \"error_i\"\n ],\n \"IER_i\": [\n \"IER_i\"\n ],\n \"trigger_level_i\": [\n \"trigger_level_i\"\n ],\n \"trigger_level_reached\": [\n \"trigger_level_reached\"\n ],\n \"IIR_o\": [\n \"IIR_o\"\n ],\n \"rstn_i\": [\n \"rstn_i\"\n ],\n \"interrupt_o\": [\n \"interrupt_o\"\n ]\n },\n \"alignment_score\": 83.33,\n \"unmapped_elements\": [\n \"wire\",\n \"iir_q\"\n ],\n \"mapping_statistics\": {\n \"rtl_signals\": 12,\n \"netlist_wires\": 147,\n \"netlist_cells\": 0,\n \"mapped_signals\": 10,\n \"unmapped_signals\": 2\n },\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"uart_interrupt\",\n \"port_count\": {\n \"inputs\": 8,\n \"outputs\": 2,\n \"inouts\": 0,\n \"total\": 10\n },\n \"signal_count\": {\n \"wires\": 8,\n \"regs\": 3,\n \"parameters\": 2,\n \"total\": 11\n },\n \"always_blocks\": 3,\n \"assign_statements\": 2,\n \"instantiations\": [\n \"error\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 60,\n \"total_lines\": 90,\n \"cyclomatic_complexity\": 18,\n \"nesting_depth\": 5,\n \"operator_count\": 84\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "plan_id": "61e0de7826c4", "design_id": "3ba8277332ac", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/riscv-mcu/e203_hbirdv2", "commit": "9f3e34f337f5d0a1236a285871ffa2032491617a", "path": "rtl/e203/perips/apb_uart/uart_interrupt.v", "sha256": "75298c2bfb4921cee757641927d55500a54f8604d808f59717834e8507045e60"}} {"question": "For the service module, how is its CDFG put together structurally (how many nodes and edges, and how the clock and reset are distributed), and since I'm aiming to reduce power, what optimizations are recommended and how much power reduction should I expect?", "answer": "The CDFG of service has 4 nodes and 6 edges with an average degree of 1.5: the clock_gen instance (PLL set to NONE) drives o_clk and o_rst into the servant's wb_clk and wb_rst ports. For power, the recommended steps are clock gating (\"opt_clean; clockgate\") and operand isolation, with an estimated power change of -25.0 and a cost of 5.0 in both area and delay.", "source_file": "github_repos/olofk_serv/servant/service.v", "module_name": "service", "tool_name": "graph_extractor+optimization_advisor", "tool_parameters": [{"graph_type": "CDFG"}, {"target_metric": "power"}], "tool_result": "[graph_extractor {\"graph_type\": \"CDFG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"CDFG\",\n...[320 chars elided]...\n \"node_count\": 4,\n \"edge_count\": 6,\n \"graph_properties\": {\n \"node_types\": {\n \"service_clock_gen\": 1,\n \"servant\": 1,\n \"port_input\": 1,\n \"port_output\": 1\n },\n \"avg_degree\": 1.5,\n \"module_name\": \"service\"\n },\n \"error\": null\n}\n\n[optimization_advisor {\"target_metric\": \"power\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"power\",\n \"recommended_recipes\": [\n \"synth -top service\",\n \"opt; share; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean; clockgate\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"clock_gating\",\n \"description\": \"Insert clock gating for registers\",\n \"command\": \"clockgate\"\n },\n {\n \"type\": \"operand_isolation\",\n \"description\": \"Isolate operands when not in use\",\n \"command\": \"Use enable signals for arithmetic\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": 5.0,\n \"delay\": 5.0,\n \"power\": -25.0\n },\n \"trade_offs\": [\n \"Power optimization may add area overhead\",\n \"Clock gating adds timing complexity\"\n ],\n \"error\": null\n}", "category": "multi_tool", "subcategory": "graph_extractor+optimization_advisor", "difficulty": "compositional", "question_hash": "e85fb443005a", "stage1_target": "[{\"tool\": \"graph_extractor\", \"parameters\": {\"graph_type\": \"CDFG\"}}, {\"tool\": \"optimization_advisor\", \"parameters\": {\"target_metric\": \"power\"}}]", "stage2_context": "Question: For the service module, how is its CDFG put together structurally (how many nodes and edges, and how the clock and reset are distributed), and since I'm aiming to reduce power, what optimizations are recommended and how much power reduction should I expect?\n\n[graph_extractor {\"graph_type\": \"CDFG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"CDFG\",\n...[320 chars elided]...\n \"node_count\": 4,\n \"edge_count\": 6,\n \"graph_properties\": {\n \"node_types\": {\n \"service_clock_gen\": 1,\n \"servant\": 1,\n \"port_input\": 1,\n \"port_output\": 1\n },\n \"avg_degree\": 1.5,\n \"module_name\": \"service\"\n },\n \"error\": null\n}\n\n[optimization_advisor {\"target_metric\": \"power\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"power\",\n \"recommended_recipes\": [\n \"synth -top service\",\n \"opt; share; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean; clockgate\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"clock_gating\",\n \"description\": \"Insert clock gating for registers\",\n \"command\": \"clockgate\"\n },\n {\n \"type\": \"operand_isolation\",\n \"description\": \"Isolate operands when not in use\",\n \"command\": \"Use enable signals for arithmetic\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": 5.0,\n \"delay\": 5.0,\n \"power\": -25.0\n },\n \"trade_offs\": [\n \"Power optimization may add area overhead\",\n \"Clock gating adds timing complexity\"\n ],\n \"error\": null\n}", "plan_id": "61072b83ccb3", "design_id": "4146656e538d", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/olofk/serv", "commit": "f200eb2ed7b69ac1c6b8eddd47654522aeee5ce8", "path": "servant/service.v", "sha256": "e09203c0ea5646df41b86df8b3e5ea9291c8ffde661f5dd960394dbb14b2fccf"}} {"question": "For MUX2D4, the RTL-to-netlist mapping covers all 4 RTL signals even though the netlist contains 10 wires and no cells. Given that, how much should I trust the estimated area gain from the recommended area-optimization flow, and what trade-off comes with it?", "answer": "MUX2D4 maps cleanly from RTL to netlist, with an alignment score of 100.0, all 4 RTL signals mapped and 0 netlist cells, so there is very little logic left for the area flow (for example \"muxcover; opt\" or \"share -aggressive\") to shrink. The estimated area change of -15.0 is therefore probably optimistic, and it comes with an estimated delay change of 5.0 because \"Area optimization may increase delay\".", "source_file": "github_repos/nvdla_hw/vmod/vlibs/MUX2D4.v", "module_name": "MUX2D4", "tool_name": "cross_stage_mapper+optimization_advisor", "tool_parameters": [{}, {"target_metric": "area"}], "tool_result": "[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"I1\": [\n \"I1\"\n ],\n \"S\": [\n \"S\"\n ],\n \"Z\": [\n \"Z\"\n ],\n \"I0\": [\n \"I0\"\n ]\n },\n \"alignment_score\": 100.0,\n \"unmapped_elements\": [],\n \"mapping_statistics\": {\n \"rtl_signals\": 4,\n \"netlist_wires\": 10,\n \"netlist_cells\": 0,\n \"mapped_signals\": 4,\n \"unmapped_signals\": 0\n },\n \"error\": null\n}\n\n[optimization_advisor {\"target_metric\": \"area\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"area\",\n \"recommended_recipes\": [\n \"synth -top MUX2D4 -flatten\",\n \"opt -full; share -aggressive; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean -purge\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"mux_optimization\",\n \"description\": \"Share multiplexers where possible\",\n \"command\": \"muxcover; opt\"\n },\n {\n \"type\": \"resource_sharing\",\n \"description\": \"Share arithmetic operators\",\n \"command\": \"share -aggressive\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": -15.0,\n \"delay\": 5.0,\n \"power\": -10.0\n },\n \"trade_offs\": [\n \"Area optimization may increase delay\",\n \"Aggressive sharing increases routing complexity\"\n ],\n \"error\": null\n}", "category": "multi_tool", "subcategory": "cross_stage_mapper+optimization_advisor", "difficulty": "compositional", "question_hash": "0bd5d64ac403", "stage1_target": "[{\"tool\": \"cross_stage_mapper\", \"parameters\": {}}, {\"tool\": \"optimization_advisor\", \"parameters\": {\"target_metric\": \"area\"}}]", "stage2_context": "Question: For MUX2D4, the RTL-to-netlist mapping covers all 4 RTL signals even though the netlist contains 10 wires and no cells. Given that, how much should I trust the estimated area gain from the recommended area-optimization flow, and what trade-off comes with it?\n\n[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"I1\": [\n \"I1\"\n ],\n \"S\": [\n \"S\"\n ],\n \"Z\": [\n \"Z\"\n ],\n \"I0\": [\n \"I0\"\n ]\n },\n \"alignment_score\": 100.0,\n \"unmapped_elements\": [],\n \"mapping_statistics\": {\n \"rtl_signals\": 4,\n \"netlist_wires\": 10,\n \"netlist_cells\": 0,\n \"mapped_signals\": 4,\n \"unmapped_signals\": 0\n },\n \"error\": null\n}\n\n[optimization_advisor {\"target_metric\": \"area\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"area\",\n \"recommended_recipes\": [\n \"synth -top MUX2D4 -flatten\",\n \"opt -full; share -aggressive; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean -purge\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"mux_optimization\",\n \"description\": \"Share multiplexers where possible\",\n \"command\": \"muxcover; opt\"\n },\n {\n \"type\": \"resource_sharing\",\n \"description\": \"Share arithmetic operators\",\n \"command\": \"share -aggressive\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": -15.0,\n \"delay\": 5.0,\n \"power\": -10.0\n },\n \"trade_offs\": [\n \"Area optimization may increase delay\",\n \"Aggressive sharing increases routing complexity\"\n ],\n \"error\": null\n}", "plan_id": "312b590284f5", "design_id": "454bd7e0d21f", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/nvdla/hw", "commit": "8e06b1b9d85aab65b40d43d08eec5ea4681ff715", "path": "vmod/vlibs/MUX2D4.v", "sha256": "9b3dd689031fe84747d5a4845b2b202766928ba6fe0be1f829f1feb5718c4934"}} {"question": "For the sirv_qspi_fifo module, how well do the RTL signals carry through to the gate-level netlist after a medium-effort synthesis, and how does that relate to the size and timing of the synthesized logic?", "answer": "sirv_qspi_fifo has an RTL-to-netlist alignment score of 94.79, with 91 of 96 RTL signals mapped and 5 left unmapped (GEN_5, rxen, GEN_6, GEN_1, GEN_0). The medium-effort synthesis produced 73 cells, including 21 NAND gates and 2 sirv_queue_1 submodule instances, with an area of 87.5 and a critical-path delay of 185.59.", "source_file": "github_repos/riscv-mcu_e203_hbirdv2/rtl/e203/perips/sirv_qspi_fifo.v", "module_name": "sirv_qspi_fifo", "tool_name": "cross_stage_mapper+synthesis_tool", "tool_parameters": [{}, {"optimization_level": "medium"}], "tool_result": "[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"io_link_active\": [\n \"io_link_active\"\n ],\n \"io_tx_bits\": [\n \"io_tx_bits\"\n ],\n \"rxq_io_enq_bits\": [\n \"rxq_io_enq_bits\"\n ],\n \"T_144\": [\n \"T_144\"\n ],\n \"T_129\": [\n \"T_129\"\n ],\n \"GEN_5\": [],\n \"io_ctrl_fmt_len\": [\n \"io_ctrl_fmt_len\"\n ],\n \"cs_mode\": [\n \"io_ctrl_cs_mode\",\n \"cs_mode_off\",\n \"cs_mode_ho\n...[3440 chars elided]...\nnk_rx_bits\": [\n \"io_link_rx_bits\"\n ],\n \"io_link_cnt\": [\n \"io_link_cnt\"\n ],\n \"rxq_io_deq_bits\": [\n \"rxq_io_deq_bits\"\n ],\n \"T_108\": [\n \"T_108\"\n ],\n \"io_ctrl_wm_tx\": [\n \"io_ctrl_wm_tx\"\n ],\n \"txq_clock\": [\n \"txq_clock\"\n ],\n \"T_106\": [\n \"T_106\"\n ],\n \"io_ip_txwm\": [\n \"io_ip_txwm\"\n ],\n \"T_123\": [\n \"T_123\"\n ],\n \"io_link_rx_valid\": [\n \"io_link_rx_valid\"\n ],\n \"T_143\": [\n \"T_143\"\n ],\n \"io_rx_valid\": [\n \"io_rx_valid\"\n ],\n \"T_96\": [\n \"T_96\"\n ]\n },\n \"alignment_score\": 94.79,\n \"unmapped_elements\": [\n \"GEN_5\",\n \"rxen\",\n \"GEN_6\",\n \"GEN_1\",\n \"GEN_0\"\n ],\n \"mapping_statistics\": {\n \"rtl_signals\": 96,\n \"netlist_wires\": 372,\n \"netlist_cells\": 0,\n \"mapped_signals\": 91,\n \"unmapped_signals\": 5\n },\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 87.5,\n \"delay\": 185.59,\n \"power\": 0.073,\n \"gate_count\": 73,\n \"cell_breakdown\": {\n \"$_ANDNOT_\": 7,\n \"$_AND_\": 15,\n \"$_DFFE_PP0P_\": 1,\n \"$_DFF_PP0_\": 2,\n \"$_NAND_\": 21,\n \"$_NOR_\": 3,\n \"$_NOT_\": 1,\n \"$_ORNOT_\": 11,\n \"$_OR_\": 4,\n \"$_XNOR_\": 4,\n \"$_XOR_\": 2,\n \"sirv_queue_1\": 2\n },\n \"wire_count\": 129,\n \"wire_bits\": 236,\n \"critical_path_estimate\": 185.59,\n \"syn\n...[1338 chars elided]...\n \"error\": null\n}", "category": "multi_tool", "subcategory": "cross_stage_mapper+synthesis_tool", "difficulty": "compositional", "question_hash": "8eb04052060a", "stage1_target": "[{\"tool\": \"cross_stage_mapper\", \"parameters\": {}}, {\"tool\": \"synthesis_tool\", \"parameters\": {\"optimization_level\": \"medium\"}}]", "stage2_context": "Question: For the sirv_qspi_fifo module, how well do the RTL signals carry through to the gate-level netlist after a medium-effort synthesis, and how does that relate to the size and timing of the synthesized logic?\n\n[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"io_link_active\": [\n \"io_link_active\"\n ],\n \"io_tx_bits\": [\n \"io_tx_bits\"\n ],\n \"rxq_io_enq_bits\": [\n \"rxq_io_enq_bits\"\n ],\n \"T_144\": [\n \"T_144\"\n ],\n \"T_129\": [\n \"T_129\"\n ],\n \"GEN_5\": [],\n \"io_ctrl_fmt_len\": [\n \"io_ctrl_fmt_len\"\n ],\n \"cs_mode\": [\n \"io_ctrl_cs_mode\",\n \"cs_mode_off\",\n \"cs_mode_ho\n...[3440 chars elided]...\nnk_rx_bits\": [\n \"io_link_rx_bits\"\n ],\n \"io_link_cnt\": [\n \"io_link_cnt\"\n ],\n \"rxq_io_deq_bits\": [\n \"rxq_io_deq_bits\"\n ],\n \"T_108\": [\n \"T_108\"\n ],\n \"io_ctrl_wm_tx\": [\n \"io_ctrl_wm_tx\"\n ],\n \"txq_clock\": [\n \"txq_clock\"\n ],\n \"T_106\": [\n \"T_106\"\n ],\n \"io_ip_txwm\": [\n \"io_ip_txwm\"\n ],\n \"T_123\": [\n \"T_123\"\n ],\n \"io_link_rx_valid\": [\n \"io_link_rx_valid\"\n ],\n \"T_143\": [\n \"T_143\"\n ],\n \"io_rx_valid\": [\n \"io_rx_valid\"\n ],\n \"T_96\": [\n \"T_96\"\n ]\n },\n \"alignment_score\": 94.79,\n \"unmapped_elements\": [\n \"GEN_5\",\n \"rxen\",\n \"GEN_6\",\n \"GEN_1\",\n \"GEN_0\"\n ],\n \"mapping_statistics\": {\n \"rtl_signals\": 96,\n \"netlist_wires\": 372,\n \"netlist_cells\": 0,\n \"mapped_signals\": 91,\n \"unmapped_signals\": 5\n },\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 87.5,\n \"delay\": 185.59,\n \"power\": 0.073,\n \"gate_count\": 73,\n \"cell_breakdown\": {\n \"$_ANDNOT_\": 7,\n \"$_AND_\": 15,\n \"$_DFFE_PP0P_\": 1,\n \"$_DFF_PP0_\": 2,\n \"$_NAND_\": 21,\n \"$_NOR_\": 3,\n \"$_NOT_\": 1,\n \"$_ORNOT_\": 11,\n \"$_OR_\": 4,\n \"$_XNOR_\": 4,\n \"$_XOR_\": 2,\n \"sirv_queue_1\": 2\n },\n \"wire_count\": 129,\n \"wire_bits\": 236,\n \"critical_path_estimate\": 185.59,\n \"syn\n...[1338 chars elided]...\n \"error\": null\n}", "plan_id": "9a6472d10a58", "design_id": "45b1a1328fa5", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/riscv-mcu/e203_hbirdv2", "commit": "9f3e34f337f5d0a1236a285871ffa2032491617a", "path": "rtl/e203/perips/sirv_qspi_fifo.v", "sha256": "6f61e7ee3c1a86ffc6a43cae8b3e28ffdf5d4273981c265012f9469025246fc7"}} {"question": "For NV_NVDLA_CMAC_CORE_MAC_mul, how well do the RTL signals line up with the netlist, and which signals fail to map? If I run an area-focused optimization flow with aggressive operator sharing, what area change should I expect, and what does it cost in delay?", "answer": "NV_NVDLA_CMAC_CORE_MAC_mul has an RTL-to-netlist alignment score of 97.56. 80 of its 82 RTL signals map to the netlist, and only cfg_is_int8_d1 and cfg_is_fp16_d1 are left unmapped. An area-targeted flow using 'share -aggressive' is estimated to change area by -15.0, at the cost of a 5.0 delay increase and more routing complexity.", "source_file": "github_repos/nvdla_hw/vmod/nvdla/cmac/NV_NVDLA_CMAC_CORE_MAC_mul.v", "module_name": "NV_NVDLA_CMAC_CORE_MAC_mul", "tool_name": "cross_stage_mapper+optimization_advisor", "tool_parameters": [{}, {"target_metric": "area"}], "tool_result": "[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"op_a_dat\": [\n \"op_a_dat\"\n ],\n \"out_data\": [\n \"out_data\"\n ],\n \"in_code\": [\n \"in_code\"\n ],\n \"pp_out_l0n0_0\": [\n \"pp_out_l0n0_0\"\n ],\n \"pp_out_l0n0_1\": [\n \"pp_out_l0n0_1\"\n ],\n \"sel_data_4\": [\n \"sel_data_4\"\n ],\n \"sel_inv_7\": [\n \"sel_inv_7\"\n ],\n \"op_a_nz\": [\n \"op_a_nz\"\n ],\n \"res_a_ori\": [\n \n...[2777 chars elided]...\n_ori\": [\n \"res_b_ori\"\n ],\n \"is_8bit\": [\n \"is_8bit\"\n ],\n \"pp_in_l0n0\": [\n \"pp_in_l0n0\"\n ],\n \"pp_out_l1n0_1\": [\n \"pp_out_l1n0_1\"\n ],\n \"ppre_8\": [\n \"ppre_8\"\n ],\n \"sel_data_3\": [\n \"sel_data_3\"\n ],\n \"sign\": [\n \"sign\",\n \"fp16_sign\",\n \"pp_sign_tag\"\n ],\n \"sel_data_5\": [\n \"sel_data_5\"\n ],\n \"code_1\": [\n \"code_1\"\n ],\n \"sel_inv_3\": [\n \"sel_inv_3\"\n ],\n \"code\": [\n \"code_6\",\n \"code_7\",\n \"code_lo\",\n \"code\",\n \"code_3\"\n ],\n \"code_4\": [\n \"code_4\"\n ]\n },\n \"alignment_score\": 97.56,\n \"unmapped_elements\": [\n \"cfg_is_int8_d1\",\n \"cfg_is_fp16_d1\"\n ],\n \"mapping_statistics\": {\n \"rtl_signals\": 82,\n \"netlist_wires\": 1895,\n \"netlist_cells\": 0,\n \"mapped_signals\": 80,\n \"unmapped_signals\": 2\n },\n \"error\": null\n}\n\n[optimization_advisor {\"target_metric\": \"area\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"area\",\n \"recommended_recipes\": [\n \"synth -top NV_NVDLA_CMAC_CORE_MAC_mul -flatten\",\n \"opt -full; share -aggressive; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean -purge\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"mux_optimization\",\n \"description\": \"Share multiplexers where possible\",\n \"command\": \"muxcover; opt\"\n },\n {\n \"type\": \"resource_sharing\",\n \"description\": \"Share arithmetic operators\",\n \"command\": \"share -aggressive\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": -15.0,\n \"delay\": 5.0,\n \"power\": -10.0\n },\n \"trade_offs\": [\n \"Area optimization may increase delay\",\n \"Aggressive sharing increases routing complexity\"\n ],\n \"error\": null\n}", "category": "multi_tool", "subcategory": "cross_stage_mapper+optimization_advisor", "difficulty": "compositional", "question_hash": "6e188fe7fd2d", "stage1_target": "[{\"tool\": \"cross_stage_mapper\", \"parameters\": {}}, {\"tool\": \"optimization_advisor\", \"parameters\": {\"target_metric\": \"area\"}}]", "stage2_context": "Question: For NV_NVDLA_CMAC_CORE_MAC_mul, how well do the RTL signals line up with the netlist, and which signals fail to map? If I run an area-focused optimization flow with aggressive operator sharing, what area change should I expect, and what does it cost in delay?\n\n[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"op_a_dat\": [\n \"op_a_dat\"\n ],\n \"out_data\": [\n \"out_data\"\n ],\n \"in_code\": [\n \"in_code\"\n ],\n \"pp_out_l0n0_0\": [\n \"pp_out_l0n0_0\"\n ],\n \"pp_out_l0n0_1\": [\n \"pp_out_l0n0_1\"\n ],\n \"sel_data_4\": [\n \"sel_data_4\"\n ],\n \"sel_inv_7\": [\n \"sel_inv_7\"\n ],\n \"op_a_nz\": [\n \"op_a_nz\"\n ],\n \"res_a_ori\": [\n \n...[2777 chars elided]...\n_ori\": [\n \"res_b_ori\"\n ],\n \"is_8bit\": [\n \"is_8bit\"\n ],\n \"pp_in_l0n0\": [\n \"pp_in_l0n0\"\n ],\n \"pp_out_l1n0_1\": [\n \"pp_out_l1n0_1\"\n ],\n \"ppre_8\": [\n \"ppre_8\"\n ],\n \"sel_data_3\": [\n \"sel_data_3\"\n ],\n \"sign\": [\n \"sign\",\n \"fp16_sign\",\n \"pp_sign_tag\"\n ],\n \"sel_data_5\": [\n \"sel_data_5\"\n ],\n \"code_1\": [\n \"code_1\"\n ],\n \"sel_inv_3\": [\n \"sel_inv_3\"\n ],\n \"code\": [\n \"code_6\",\n \"code_7\",\n \"code_lo\",\n \"code\",\n \"code_3\"\n ],\n \"code_4\": [\n \"code_4\"\n ]\n },\n \"alignment_score\": 97.56,\n \"unmapped_elements\": [\n \"cfg_is_int8_d1\",\n \"cfg_is_fp16_d1\"\n ],\n \"mapping_statistics\": {\n \"rtl_signals\": 82,\n \"netlist_wires\": 1895,\n \"netlist_cells\": 0,\n \"mapped_signals\": 80,\n \"unmapped_signals\": 2\n },\n \"error\": null\n}\n\n[optimization_advisor {\"target_metric\": \"area\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"area\",\n \"recommended_recipes\": [\n \"synth -top NV_NVDLA_CMAC_CORE_MAC_mul -flatten\",\n \"opt -full; share -aggressive; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean -purge\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"mux_optimization\",\n \"description\": \"Share multiplexers where possible\",\n \"command\": \"muxcover; opt\"\n },\n {\n \"type\": \"resource_sharing\",\n \"description\": \"Share arithmetic operators\",\n \"command\": \"share -aggressive\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": -15.0,\n \"delay\": 5.0,\n \"power\": -10.0\n },\n \"trade_offs\": [\n \"Area optimization may increase delay\",\n \"Aggressive sharing increases routing complexity\"\n ],\n \"error\": null\n}", "plan_id": "1bdf04c244f5", "design_id": "45e48355f507", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/nvdla/hw", "commit": "8e06b1b9d85aab65b40d43d08eec5ea4681ff715", "path": "vmod/nvdla/cmac/NV_NVDLA_CMAC_CORE_MAC_mul.v", "sha256": "e3863ee66376dab62f7a07ec4cb86dc32084bc00999748cd65083342654394f6"}} {"question": "For NV_NVDLA_CMAC_CORE_MAC_mul, how well do the RTL signals line up with the synthesized netlist, which signals don't map, and is that consistent with how much sequential logic the RTL describes (number of regs and always blocks)?", "answer": "NV_NVDLA_CMAC_CORE_MAC_mul maps 80 of its 82 RTL signals to the netlist, for an alignment score of 97.56. The only unmapped signals are the delayed config flags cfg_is_int8_d1 and cfg_is_fp16_d1. That fits an RTL with 43 regs across 25 always blocks: nearly all of that state survives into the netlist, and only those two pipelined config registers do not appear by name.", "source_file": "github_repos/nvdla_hw/vmod/nvdla/cmac/NV_NVDLA_CMAC_CORE_MAC_mul.v", "module_name": "NV_NVDLA_CMAC_CORE_MAC_mul", "tool_name": "cross_stage_mapper+static_analyzer", "tool_parameters": [{}, {"analysis_type": "full"}], "tool_result": "[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"op_a_dat\": [\n \"op_a_dat\"\n ],\n \"out_data\": [\n \"out_data\"\n ],\n \"in_code\": [\n \"in_code\"\n ],\n \"pp_out_l0n0_0\": [\n \"pp_out_l0n0_0\"\n ],\n \"pp_out_l0n0_1\": [\n \"pp_out_l0n0_1\"\n ],\n \"sel_data_4\": [\n \"sel_data_4\"\n ],\n \"sel_inv_7\": [\n \"sel_inv_7\"\n ],\n \"op_a_nz\": [\n \"op_a_nz\"\n ],\n \"res_a_ori\": [\n \n...[2777 chars elided]...\n_ori\": [\n \"res_b_ori\"\n ],\n \"is_8bit\": [\n \"is_8bit\"\n ],\n \"pp_in_l0n0\": [\n \"pp_in_l0n0\"\n ],\n \"pp_out_l1n0_1\": [\n \"pp_out_l1n0_1\"\n ],\n \"ppre_8\": [\n \"ppre_8\"\n ],\n \"sel_data_3\": [\n \"sel_data_3\"\n ],\n \"sign\": [\n \"sign\",\n \"fp16_sign\",\n \"pp_sign_tag\"\n ],\n \"sel_data_5\": [\n \"sel_data_5\"\n ],\n \"code_1\": [\n \"code_1\"\n ],\n \"sel_inv_3\": [\n \"sel_inv_3\"\n ],\n \"code\": [\n \"code_6\",\n \"code_7\",\n \"code_lo\",\n \"code\",\n \"code_3\"\n ],\n \"code_4\": [\n \"code_4\"\n ]\n },\n \"alignment_score\": 97.56,\n \"unmapped_elements\": [\n \"cfg_is_int8_d1\",\n \"cfg_is_fp16_d1\"\n ],\n \"mapping_statistics\": {\n \"rtl_signals\": 82,\n \"netlist_wires\": 1895,\n \"netlist_cells\": 0,\n \"mapped_signals\": 80,\n \"unmapped_signals\": 2\n },\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"NV_NVDLA_CMAC_CORE_MAC_mul\",\n \"port_count\": {\n \"inputs\": 16,\n \"outputs\": 5,\n \"inouts\": 0,\n \"total\": 21\n },\n \"signal_count\": {\n \"wires\": 22,\n \"regs\": 43,\n \"parameters\": 0,\n \"total\": 65\n },\n \"always_blocks\": 25,\n \"assign_statements\": 1,\n \"instantiations\": [\n \"define\",\n \"NV_NVDLA_CMAC_CORE_MAC_booth\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 585,\n \"total_lines\": 800,\n \"cyclomatic_complexity\": 39,\n \"nesting_depth\": 46,\n \"operator_count\": 2040\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "category": "multi_tool", "subcategory": "cross_stage_mapper+static_analyzer", "difficulty": "compositional", "question_hash": "86e6dd9aef99", "stage1_target": "[{\"tool\": \"cross_stage_mapper\", \"parameters\": {}}, {\"tool\": \"static_analyzer\", \"parameters\": {\"analysis_type\": \"full\"}}]", "stage2_context": "Question: For NV_NVDLA_CMAC_CORE_MAC_mul, how well do the RTL signals line up with the synthesized netlist, which signals don't map, and is that consistent with how much sequential logic the RTL describes (number of regs and always blocks)?\n\n[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"op_a_dat\": [\n \"op_a_dat\"\n ],\n \"out_data\": [\n \"out_data\"\n ],\n \"in_code\": [\n \"in_code\"\n ],\n \"pp_out_l0n0_0\": [\n \"pp_out_l0n0_0\"\n ],\n \"pp_out_l0n0_1\": [\n \"pp_out_l0n0_1\"\n ],\n \"sel_data_4\": [\n \"sel_data_4\"\n ],\n \"sel_inv_7\": [\n \"sel_inv_7\"\n ],\n \"op_a_nz\": [\n \"op_a_nz\"\n ],\n \"res_a_ori\": [\n \n...[2777 chars elided]...\n_ori\": [\n \"res_b_ori\"\n ],\n \"is_8bit\": [\n \"is_8bit\"\n ],\n \"pp_in_l0n0\": [\n \"pp_in_l0n0\"\n ],\n \"pp_out_l1n0_1\": [\n \"pp_out_l1n0_1\"\n ],\n \"ppre_8\": [\n \"ppre_8\"\n ],\n \"sel_data_3\": [\n \"sel_data_3\"\n ],\n \"sign\": [\n \"sign\",\n \"fp16_sign\",\n \"pp_sign_tag\"\n ],\n \"sel_data_5\": [\n \"sel_data_5\"\n ],\n \"code_1\": [\n \"code_1\"\n ],\n \"sel_inv_3\": [\n \"sel_inv_3\"\n ],\n \"code\": [\n \"code_6\",\n \"code_7\",\n \"code_lo\",\n \"code\",\n \"code_3\"\n ],\n \"code_4\": [\n \"code_4\"\n ]\n },\n \"alignment_score\": 97.56,\n \"unmapped_elements\": [\n \"cfg_is_int8_d1\",\n \"cfg_is_fp16_d1\"\n ],\n \"mapping_statistics\": {\n \"rtl_signals\": 82,\n \"netlist_wires\": 1895,\n \"netlist_cells\": 0,\n \"mapped_signals\": 80,\n \"unmapped_signals\": 2\n },\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"NV_NVDLA_CMAC_CORE_MAC_mul\",\n \"port_count\": {\n \"inputs\": 16,\n \"outputs\": 5,\n \"inouts\": 0,\n \"total\": 21\n },\n \"signal_count\": {\n \"wires\": 22,\n \"regs\": 43,\n \"parameters\": 0,\n \"total\": 65\n },\n \"always_blocks\": 25,\n \"assign_statements\": 1,\n \"instantiations\": [\n \"define\",\n \"NV_NVDLA_CMAC_CORE_MAC_booth\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 585,\n \"total_lines\": 800,\n \"cyclomatic_complexity\": 39,\n \"nesting_depth\": 46,\n \"operator_count\": 2040\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "plan_id": "0b35fe59d85d", "design_id": "45e48355f507", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/nvdla/hw", "commit": "8e06b1b9d85aab65b40d43d08eec5ea4681ff715", "path": "vmod/nvdla/cmac/NV_NVDLA_CMAC_CORE_MAC_mul.v", "sha256": "e3863ee66376dab62f7a07ec4cb86dc32084bc00999748cd65083342654394f6"}} {"question": "For servix_clock_gen, the RTL-to-netlist mapping leaves locked_r and o_rst unmapped. Does the AIG graph show logic that could explain where those reset-synchronizer registers went, and how does that fit with the mapping's alignment score?", "answer": "The AIG for servix_clock_gen has 2 $_DFF_P_ nodes, 1 $_NOT_ node, and 1 PLLE2_BASE instance (8 nodes, 15 edges), so the locked_r/o_rst reset logic was kept as flip-flops with auto-generated names rather than lost. Because those flops were renamed, locked_r and o_rst count among the 4 unmapped signals, and only 5 of 9 RTL signals map, giving an alignment score of 55.56.", "source_file": "github_repos/olofk_serv/servant/servix_clock_gen.v", "module_name": "servix_clock_gen", "tool_name": "cross_stage_mapper+graph_extractor", "tool_parameters": [{}, {"graph_type": "AIG"}], "tool_result": "[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"locked\": [\n \"locked\"\n ],\n \"wire\": [],\n \"reg\": [],\n \"i_rst\": [\n \"i_rst\"\n ],\n \"o_rst\": [],\n \"i_clk\": [\n \"i_clk\"\n ],\n \"locked_r\": [],\n \"clkfb\": [\n \"clkfb\"\n ],\n \"o_clk\": [\n \"o_clk\"\n ]\n },\n \"alignment_score\": 55.56,\n \"unmapped_elements\": [\n \"wire\",\n \"reg\",\n \"o_rst\",\n \"locked_r\"\n ],\n \"mapping_statistics\": {\n \"rtl_signals\": 9,\n \"netlist_wires\": 8,\n \"netlist_cells\": 0,\n \"mapped_signals\": 5,\n \"unmapped_signals\": 4\n },\n \"error\": null\n}\n\n[graph_extractor {\"graph_type\": \"AIG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"AIG\",\n...[1979 chars elided]...\n \"node_count\": 8,\n \"edge_count\": 15,\n \"graph_properties\": {\n \"node_types\": {\n \"$_DFF_P_\": 2,\n \"$_NOT_\": 1,\n \"PLLE2_BASE\": 1,\n \"port_input\": 2,\n \"port_output\": 2\n },\n \"avg_degree\": 1.88,\n \"module_name\": \"servix_clock_gen\"\n },\n \"error\": null\n}", "category": "multi_tool", "subcategory": "cross_stage_mapper+graph_extractor", "difficulty": "compositional", "question_hash": "03731740701a", "stage1_target": "[{\"tool\": \"cross_stage_mapper\", \"parameters\": {}}, {\"tool\": \"graph_extractor\", \"parameters\": {\"graph_type\": \"AIG\"}}]", "stage2_context": "Question: For servix_clock_gen, the RTL-to-netlist mapping leaves locked_r and o_rst unmapped. Does the AIG graph show logic that could explain where those reset-synchronizer registers went, and how does that fit with the mapping's alignment score?\n\n[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"locked\": [\n \"locked\"\n ],\n \"wire\": [],\n \"reg\": [],\n \"i_rst\": [\n \"i_rst\"\n ],\n \"o_rst\": [],\n \"i_clk\": [\n \"i_clk\"\n ],\n \"locked_r\": [],\n \"clkfb\": [\n \"clkfb\"\n ],\n \"o_clk\": [\n \"o_clk\"\n ]\n },\n \"alignment_score\": 55.56,\n \"unmapped_elements\": [\n \"wire\",\n \"reg\",\n \"o_rst\",\n \"locked_r\"\n ],\n \"mapping_statistics\": {\n \"rtl_signals\": 9,\n \"netlist_wires\": 8,\n \"netlist_cells\": 0,\n \"mapped_signals\": 5,\n \"unmapped_signals\": 4\n },\n \"error\": null\n}\n\n[graph_extractor {\"graph_type\": \"AIG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"AIG\",\n...[1979 chars elided]...\n \"node_count\": 8,\n \"edge_count\": 15,\n \"graph_properties\": {\n \"node_types\": {\n \"$_DFF_P_\": 2,\n \"$_NOT_\": 1,\n \"PLLE2_BASE\": 1,\n \"port_input\": 2,\n \"port_output\": 2\n },\n \"avg_degree\": 1.88,\n \"module_name\": \"servix_clock_gen\"\n },\n \"error\": null\n}", "plan_id": "c45d31de3e4b", "design_id": "472daae875c7", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/olofk/serv", "commit": "f200eb2ed7b69ac1c6b8eddd47654522aeee5ce8", "path": "servant/servix_clock_gen.v", "sha256": "b326b1ee26f5534913a9ef5f9e501ff7b1546e1a8dec518f8a70753b76f0c9b7"}} {"question": "For sirv_jtag_dtm, how well do the RTL signals line up with the synthesized netlist, and could the module's control complexity explain the signals that don't map, such as the JTAG state and sticky status registers?", "answer": "sirv_jtag_dtm has an RTL-to-netlist alignment score of 63.64, with 21 of 33 RTL signals mapped and 12 unmapped, including jtagStateReg, stickyBusyReg and stickyNonzeroRespReg. Those internal registers likely got renamed or merged during synthesis, which fits a design with 12 always blocks, a cyclomatic complexity of 53 and a nesting depth of 33.", "source_file": "github_repos/riscv-mcu_e203_hbirdv2/rtl/e203/debug/sirv_jtag_dtm.v", "module_name": "sirv_jtag_dtm", "tool_name": "cross_stage_mapper+static_analyzer", "tool_parameters": [{}, {"analysis_type": "full"}], "tool_result": "[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"jtagStateReg\": [],\n \"jtag_TRST\": [\n \"jtag_TRST\"\n ],\n \"nonzeroResp\": [\n \"nonzeroResp\"\n ],\n \"dbusValidReg\": [],\n \"jtag_TCK\": [\n \"jtag_TCK\"\n ],\n \"jtag_TDI\": [\n \"jtag_TDI\"\n ],\n \"dbusStatus\": [\n \"dbusStatus\"\n ],\n \"i_dtm_req_valid\": [\n \"i_dtm_req_valid\"\n ],\n \"debugVersion\": [\n \"debugVersion\"\n ],\n \"\n...[660 chars elided]...\nkyNonzeroRespReg\": [],\n \"dtm_req_valid\": [\n \"dtm_req_valid\",\n \"i_dtm_req_valid\"\n ],\n \"jtag_DRV_TDO\": [],\n \"i_dtm_req_ready\": [\n \"i_dtm_req_ready\"\n ],\n \"dbusReset\": [\n \"dbusReset\"\n ],\n \"skipOpReg\": [],\n \"dtm_req_ready\": [\n \"i_dtm_req_ready\",\n \"dtm_req_ready\"\n ],\n \"stickyBusyReg\": [],\n \"i_dtm_resp_ready\": [\n \"i_dtm_resp_ready\"\n ]\n },\n \"alignment_score\": 63.64,\n \"unmapped_elements\": [\n \"jtagStateReg\",\n \"dbusValidReg\",\n \"downgradeOpReg\",\n \"doDbusReadReg\",\n \"busyReg\",\n \"jtag_TDO\",\n \"doDbusWriteReg\",\n \"reg\",\n \"stickyNonzeroRespReg\",\n \"jtag_DRV_TDO\",\n \"skipOpReg\",\n \"stickyBusyReg\"\n ],\n \"mapping_statistics\": {\n \"rtl_signals\": 33,\n \"netlist_wires\": 1502,\n \"netlist_cells\": 0,\n \"mapped_signals\": 21,\n \"unmapped_signals\": 12\n },\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"sirv_jtag_dtm\",\n \"port_count\": {\n \"inputs\": 6,\n \"outputs\": 4,\n \"inouts\": 0,\n \"total\": 10\n },\n \"signal_count\": {\n \"wires\": 13,\n \"regs\": 11,\n \"parameters\": 32,\n \"total\": 24\n },\n \"always_blocks\": 12,\n \"assign_statements\": 12,\n \"instantiations\": [\n \"DTM\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 280,\n \"total_lines\": 394,\n \"cyclomatic_complexity\": 53,\n \"nesting_depth\": 33,\n \"operator_count\": 668\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "category": "multi_tool", "subcategory": "cross_stage_mapper+static_analyzer", "difficulty": "compositional", "question_hash": "e8f400715599", "stage1_target": "[{\"tool\": \"cross_stage_mapper\", \"parameters\": {}}, {\"tool\": \"static_analyzer\", \"parameters\": {\"analysis_type\": \"full\"}}]", "stage2_context": "Question: For sirv_jtag_dtm, how well do the RTL signals line up with the synthesized netlist, and could the module's control complexity explain the signals that don't map, such as the JTAG state and sticky status registers?\n\n[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"jtagStateReg\": [],\n \"jtag_TRST\": [\n \"jtag_TRST\"\n ],\n \"nonzeroResp\": [\n \"nonzeroResp\"\n ],\n \"dbusValidReg\": [],\n \"jtag_TCK\": [\n \"jtag_TCK\"\n ],\n \"jtag_TDI\": [\n \"jtag_TDI\"\n ],\n \"dbusStatus\": [\n \"dbusStatus\"\n ],\n \"i_dtm_req_valid\": [\n \"i_dtm_req_valid\"\n ],\n \"debugVersion\": [\n \"debugVersion\"\n ],\n \"\n...[660 chars elided]...\nkyNonzeroRespReg\": [],\n \"dtm_req_valid\": [\n \"dtm_req_valid\",\n \"i_dtm_req_valid\"\n ],\n \"jtag_DRV_TDO\": [],\n \"i_dtm_req_ready\": [\n \"i_dtm_req_ready\"\n ],\n \"dbusReset\": [\n \"dbusReset\"\n ],\n \"skipOpReg\": [],\n \"dtm_req_ready\": [\n \"i_dtm_req_ready\",\n \"dtm_req_ready\"\n ],\n \"stickyBusyReg\": [],\n \"i_dtm_resp_ready\": [\n \"i_dtm_resp_ready\"\n ]\n },\n \"alignment_score\": 63.64,\n \"unmapped_elements\": [\n \"jtagStateReg\",\n \"dbusValidReg\",\n \"downgradeOpReg\",\n \"doDbusReadReg\",\n \"busyReg\",\n \"jtag_TDO\",\n \"doDbusWriteReg\",\n \"reg\",\n \"stickyNonzeroRespReg\",\n \"jtag_DRV_TDO\",\n \"skipOpReg\",\n \"stickyBusyReg\"\n ],\n \"mapping_statistics\": {\n \"rtl_signals\": 33,\n \"netlist_wires\": 1502,\n \"netlist_cells\": 0,\n \"mapped_signals\": 21,\n \"unmapped_signals\": 12\n },\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"sirv_jtag_dtm\",\n \"port_count\": {\n \"inputs\": 6,\n \"outputs\": 4,\n \"inouts\": 0,\n \"total\": 10\n },\n \"signal_count\": {\n \"wires\": 13,\n \"regs\": 11,\n \"parameters\": 32,\n \"total\": 24\n },\n \"always_blocks\": 12,\n \"assign_statements\": 12,\n \"instantiations\": [\n \"DTM\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 280,\n \"total_lines\": 394,\n \"cyclomatic_complexity\": 53,\n \"nesting_depth\": 33,\n \"operator_count\": 668\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "plan_id": "ee293c1d7d49", "design_id": "4a09cd231139", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/riscv-mcu/e203_hbirdv2", "commit": "9f3e34f337f5d0a1236a285871ffa2032491617a", "path": "rtl/e203/debug/sirv_jtag_dtm.v", "sha256": "e458dabf62b8f70bf02d3fba96ca8be58b5e294db47b3423136af315e794bd03"}} {"question": "For sirv_tlwidthwidget_qspi, how well do the RTL signals carry through to the netlist, and how does the module's size and control complexity bear on whether a delay-targeted optimization is worth its area and power cost?", "answer": "sirv_tlwidthwidget_qspi maps 210 of its 237 RTL signals into the netlist (alignment score 88.61), and leaves 27 unmapped, mostly GEN_* and T_* temporaries. Static analysis shows 82 ports, 23 regs, 147 assign statements and a cyclomatic complexity of 13 with nesting depth 11, so this is mostly combinational width-adaptation logic. The delay optimization predicts a -20.0 delay improvement, but it costs 10.0 more area and 5.0 more power, and it suggests splitnets -driver to duplicate logic and reduce fanout.", "source_file": "github_repos/riscv-mcu_e203_hbirdv2/rtl/e203/perips/sirv_tlwidthwidget_qspi.v", "module_name": "sirv_tlwidthwidget_qspi", "tool_name": "cross_stage_mapper+optimization_advisor+static_analyzer", "tool_parameters": [{}, {"target_metric": "delay"}, {"analysis_type": "full"}], "tool_result": "[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"T_1468\": [\n \"T_1468\"\n ],\n \"io_out_0_a_bits_data\": [\n \"io_out_0_a_bits_data\"\n ],\n \"T_1489\": [\n \"T_1489\"\n ],\n \"Repeater_5_1_io_enq_valid\": [\n \"Repeater_5_1_io_enq_valid\"\n ],\n \"io_out_0\n...[11492 chars elided]...\nc_bits_opcode\"\n ],\n \"GEN_19\": [\n \"GEN_19\"\n ]\n },\n \"alignment_score\": 88.61,\n \"unmapped_elements\": [\n \"GEN_44\",\n \"GEN_39\",\n \"GEN_37\",\n \"GEN_3\",\n \"GEN_41\",\n \"GEN_40\",\n \"GEN_31\",\n \"GEN_29\",\n \"GEN_6\",\n \"GEN_5\",\n \"T_1512\",\n \"GEN_35\",\n \"GEN_45\",\n \"GEN_43\",\n \"GEN_32\",\n \"GEN_30\",\n \"GEN_28\",\n \"GEN_33\",\n \"T_1482\",\n \"GEN_36\"\n ],\n \"mapping_statistics\": {\n \"rtl_signals\": 237,\n \"netlist_wires\": 455,\n \"netlist_cells\": 0,\n \"mapped_signals\": 210,\n \"unmapped_signals\": 27\n },\n \"error\": null\n}\n\n[optimization_advisor {\"target_metric\": \"delay\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"delay\",\n \"recommended_recipes\": [\n \"synth -top sirv_tlwidthwidget_qspi\",\n \"opt -fast\",\n \"abc -fast -liberty stdcells.lib\",\n \"opt_clean\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"pipeline_insertion\",\n \"description\": \"Consider pipelining arithmetic operations\",\n \"command\": \"Use register retiming\"\n },\n {\n \"type\": \"logic_duplication\",\n \"description\": \"Duplicate logic to reduce fanout\",\n \"command\": \"splitnets -driver\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": 10.0,\n \"delay\": -20.0,\n \"power\": 5.0\n },\n \"trade_offs\": [\n \"Speed optimization increases area\",\n \"Higher power consumption\"\n ],\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"sirv_tlwidthwidget_qspi\",\n \"port_count\": {\n \"inputs\": 42,\n \"outputs\": 40,\n \"inouts\": 0,\n \"total\": 82\n },\n \"signal_count\": {\n \"wires\": 132,\n \"regs\": 23,\n \"parameters\": 0,\n \"total\": 155\n },\n \"always_blocks\": 3,\n \"assign_statements\": 147,\n \"instantiations\": [\n \"sirv_tl_repeater_5\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 454,\n \"total_lines\": 468,\n \"cyclomatic_complexity\": 13,\n \"nesting_depth\": 11,\n \"operator_count\": 225\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "category": "multi_tool", "subcategory": "cross_stage_mapper+optimization_advisor+static_analyzer", "difficulty": "compositional", "question_hash": "f84648eb73e2", "stage1_target": "[{\"tool\": \"cross_stage_mapper\", \"parameters\": {}}, {\"tool\": \"optimization_advisor\", \"parameters\": {\"target_metric\": \"delay\"}}, {\"tool\": \"static_analyzer\", \"parameters\": {\"analysis_type\": \"full\"}}]", "stage2_context": "Question: For sirv_tlwidthwidget_qspi, how well do the RTL signals carry through to the netlist, and how does the module's size and control complexity bear on whether a delay-targeted optimization is worth its area and power cost?\n\n[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"T_1468\": [\n \"T_1468\"\n ],\n \"io_out_0_a_bits_data\": [\n \"io_out_0_a_bits_data\"\n ],\n \"T_1489\": [\n \"T_1489\"\n ],\n \"Repeater_5_1_io_enq_valid\": [\n \"Repeater_5_1_io_enq_valid\"\n ],\n \"io_out_0\n...[11492 chars elided]...\nc_bits_opcode\"\n ],\n \"GEN_19\": [\n \"GEN_19\"\n ]\n },\n \"alignment_score\": 88.61,\n \"unmapped_elements\": [\n \"GEN_44\",\n \"GEN_39\",\n \"GEN_37\",\n \"GEN_3\",\n \"GEN_41\",\n \"GEN_40\",\n \"GEN_31\",\n \"GEN_29\",\n \"GEN_6\",\n \"GEN_5\",\n \"T_1512\",\n \"GEN_35\",\n \"GEN_45\",\n \"GEN_43\",\n \"GEN_32\",\n \"GEN_30\",\n \"GEN_28\",\n \"GEN_33\",\n \"T_1482\",\n \"GEN_36\"\n ],\n \"mapping_statistics\": {\n \"rtl_signals\": 237,\n \"netlist_wires\": 455,\n \"netlist_cells\": 0,\n \"mapped_signals\": 210,\n \"unmapped_signals\": 27\n },\n \"error\": null\n}\n\n[optimization_advisor {\"target_metric\": \"delay\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"delay\",\n \"recommended_recipes\": [\n \"synth -top sirv_tlwidthwidget_qspi\",\n \"opt -fast\",\n \"abc -fast -liberty stdcells.lib\",\n \"opt_clean\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"pipeline_insertion\",\n \"description\": \"Consider pipelining arithmetic operations\",\n \"command\": \"Use register retiming\"\n },\n {\n \"type\": \"logic_duplication\",\n \"description\": \"Duplicate logic to reduce fanout\",\n \"command\": \"splitnets -driver\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": 10.0,\n \"delay\": -20.0,\n \"power\": 5.0\n },\n \"trade_offs\": [\n \"Speed optimization increases area\",\n \"Higher power consumption\"\n ],\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"sirv_tlwidthwidget_qspi\",\n \"port_count\": {\n \"inputs\": 42,\n \"outputs\": 40,\n \"inouts\": 0,\n \"total\": 82\n },\n \"signal_count\": {\n \"wires\": 132,\n \"regs\": 23,\n \"parameters\": 0,\n \"total\": 155\n },\n \"always_blocks\": 3,\n \"assign_statements\": 147,\n \"instantiations\": [\n \"sirv_tl_repeater_5\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 454,\n \"total_lines\": 468,\n \"cyclomatic_complexity\": 13,\n \"nesting_depth\": 11,\n \"operator_count\": 225\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "plan_id": "736085ae5559", "design_id": "4b3de34e8f6d", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 3, "ctx_cap": 3300, "source": {"repository": "https://github.com/riscv-mcu/e203_hbirdv2", "commit": "9f3e34f337f5d0a1236a285871ffa2032491617a", "path": "rtl/e203/perips/sirv_tlwidthwidget_qspi.v", "sha256": "1ee34f620ba12cc47fdd6f9dfd04788545cdc986d280f7286544e99dce447db2"}} {"question": "For tcm_mem_pmem, how well do the RTL signals line up with the synthesized netlist, and could the design's structural complexity (always blocks, register count, cyclomatic complexity) explain why some signals are missing from the netlist?", "answer": "tcm_mem_pmem has an RTL-to-netlist alignment score of 75.93: 41 signals map and 13 do not. The unmapped ones are mostly registered request-holding state such as req_addr_q, req_axlen_q and req_hold_rd_q. The static view shows 12 regs spread across 4 always blocks, with a cyclomatic complexity of 33, which fits these registers being restructured or renamed in the netlist rather than kept one-to-one.", "source_file": "github_repos/ultraembedded_riscv/top_tcm_wrapper/tcm_mem_pmem.v", "module_name": "tcm_mem_pmem", "tool_name": "cross_stage_mapper+static_analyzer", "tool_parameters": [{}, {"analysis_type": "full"}], "tool_result": "[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"ram_error_i\": [\n \"ram_error_i\"\n ],\n \"req_addr_q\": [],\n \"axi_arready_o\": [\n \"axi_arready_o\"\n ],\n \"write_active_w\": [\n \"write_active_w\"\n ],\n \"wr_w\": [\n \"wr_w\"\n ],\n \"pop_i\": [\n \"pop_i\"\n ],\n \"req_axlen_q\": [],\n \"axi_wlast_i\": [\n \"axi_wlast_i\"\n ],\n \"req_hold_rd_q\": [],\n \"mask\": [],\n \"axi_wready_o\": [\n \n...[1551 chars elided]...\ni\"\n ],\n \"axlen\": [],\n \"resp_accept_w\": [\n \"resp_accept_w\"\n ],\n \"req_hold_wr_q\": [],\n \"addr\": [\n \"addr_w\",\n \"axi_awaddr_i\",\n \"axi_araddr_i\",\n \"ram_addr_o\"\n ],\n \"ram_accept_i\": [\n \"ram_accept_i\"\n ],\n \"req_out_valid_w\": [\n \"req_out_valid_w\"\n ],\n \"resp_is_last_w\": [\n \"resp_is_last_w\"\n ],\n \"axi_awvalid_i\": [\n \"axi_awvalid_i\"\n ]\n },\n \"alignment_score\": 75.93,\n \"unmapped_elements\": [\n \"req_addr_q\",\n \"req_axlen_q\",\n \"req_hold_rd_q\",\n \"mask\",\n \"req_axburst_q\",\n \"req_len_q\",\n \"req_id_q\",\n \"req_rd_q\",\n \"req_wr_q\",\n \"axtype\",\n \"req_prio_q\",\n \"axlen\",\n \"req_hold_wr_q\"\n ],\n \"mapping_statistics\": {\n \"rtl_signals\": 54,\n \"netlist_wires\": 1970,\n \"netlist_cells\": 0,\n \"mapped_signals\": 41,\n \"unmapped_signals\": 13\n },\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"tcm_mem_pmem\",\n \"port_count\": {\n \"inputs\": 18,\n \"outputs\": 9,\n \"inouts\": 0,\n \"total\": 27\n },\n \"signal_count\": {\n \"wires\": 17,\n \"regs\": 12,\n \"parameters\": 4,\n \"total\": 29\n },\n \"always_blocks\": 4,\n \"assign_statements\": 19,\n \"instantiations\": [\n \"Push\",\n \"continuation\",\n \"up\",\n \"accepted\",\n \"Pop\",\n \"burst\",\n \"CONSEQUENTIAL\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 284,\n \"total_lines\": 443,\n \"cyclomatic_complexity\": 33,\n \"nesting_depth\": 18,\n \"operator_count\": 2650\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "category": "multi_tool", "subcategory": "cross_stage_mapper+static_analyzer", "difficulty": "compositional", "question_hash": "c78ff8952bc0", "stage1_target": "[{\"tool\": \"cross_stage_mapper\", \"parameters\": {}}, {\"tool\": \"static_analyzer\", \"parameters\": {\"analysis_type\": \"full\"}}]", "stage2_context": "Question: For tcm_mem_pmem, how well do the RTL signals line up with the synthesized netlist, and could the design's structural complexity (always blocks, register count, cyclomatic complexity) explain why some signals are missing from the netlist?\n\n[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"ram_error_i\": [\n \"ram_error_i\"\n ],\n \"req_addr_q\": [],\n \"axi_arready_o\": [\n \"axi_arready_o\"\n ],\n \"write_active_w\": [\n \"write_active_w\"\n ],\n \"wr_w\": [\n \"wr_w\"\n ],\n \"pop_i\": [\n \"pop_i\"\n ],\n \"req_axlen_q\": [],\n \"axi_wlast_i\": [\n \"axi_wlast_i\"\n ],\n \"req_hold_rd_q\": [],\n \"mask\": [],\n \"axi_wready_o\": [\n \n...[1551 chars elided]...\ni\"\n ],\n \"axlen\": [],\n \"resp_accept_w\": [\n \"resp_accept_w\"\n ],\n \"req_hold_wr_q\": [],\n \"addr\": [\n \"addr_w\",\n \"axi_awaddr_i\",\n \"axi_araddr_i\",\n \"ram_addr_o\"\n ],\n \"ram_accept_i\": [\n \"ram_accept_i\"\n ],\n \"req_out_valid_w\": [\n \"req_out_valid_w\"\n ],\n \"resp_is_last_w\": [\n \"resp_is_last_w\"\n ],\n \"axi_awvalid_i\": [\n \"axi_awvalid_i\"\n ]\n },\n \"alignment_score\": 75.93,\n \"unmapped_elements\": [\n \"req_addr_q\",\n \"req_axlen_q\",\n \"req_hold_rd_q\",\n \"mask\",\n \"req_axburst_q\",\n \"req_len_q\",\n \"req_id_q\",\n \"req_rd_q\",\n \"req_wr_q\",\n \"axtype\",\n \"req_prio_q\",\n \"axlen\",\n \"req_hold_wr_q\"\n ],\n \"mapping_statistics\": {\n \"rtl_signals\": 54,\n \"netlist_wires\": 1970,\n \"netlist_cells\": 0,\n \"mapped_signals\": 41,\n \"unmapped_signals\": 13\n },\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"tcm_mem_pmem\",\n \"port_count\": {\n \"inputs\": 18,\n \"outputs\": 9,\n \"inouts\": 0,\n \"total\": 27\n },\n \"signal_count\": {\n \"wires\": 17,\n \"regs\": 12,\n \"parameters\": 4,\n \"total\": 29\n },\n \"always_blocks\": 4,\n \"assign_statements\": 19,\n \"instantiations\": [\n \"Push\",\n \"continuation\",\n \"up\",\n \"accepted\",\n \"Pop\",\n \"burst\",\n \"CONSEQUENTIAL\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 284,\n \"total_lines\": 443,\n \"cyclomatic_complexity\": 33,\n \"nesting_depth\": 18,\n \"operator_count\": 2650\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "plan_id": "05abf1b01987", "design_id": "4de5e2e45806", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/ultraembedded/riscv", "commit": "7ae6f803e30f78c6ea3121e73c3adf50ff912730", "path": "top_tcm_wrapper/tcm_mem_pmem.v", "sha256": "171b6a903df5b76b98893acdbfd6c75e029a21ffce6f916789129bac08de51aa"}} {"question": "For NV_NVDLA_GLB_ic, how does the register count in the source code line up with the sequential cells in the CDFG, and does that structure explain the module's high cyclomatic complexity?", "answer": "The source of NV_NVDLA_GLB_ic declares 37 regs, and the CDFG holds 16 $adffe and 2 $adff flip-flop cells alongside 34 $mux nodes, so the regs are bit-blasted into enabled async-reset registers that feed a large mux tree. That mux-heavy, per-interrupt-source structure fits the code's cyclomatic complexity of 99 across 37 always blocks.", "source_file": "github_repos/nvdla_hw/vmod/nvdla/glb/NV_NVDLA_GLB_ic.v", "module_name": "NV_NVDLA_GLB_ic", "tool_name": "graph_extractor+static_analyzer", "tool_parameters": [{"graph_type": "CDFG"}, {"analysis_type": "full"}], "tool_result": "[graph_extractor {\"graph_type\": \"CDFG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"CDFG\",\n...[57791 chars elided]...\n \"node_count\": 180,\n \"edge_count\": 569,\n \"graph_properties\": {\n \"node_types\": {\n \"$mux\": 34,\n \"$or\": 31,\n \"$and\": 16,\n \"$not\": 16,\n \"$adffe\": 16,\n \"$reduce_bool\": 16,\n \"$adff\": 2,\n \"NV_NVDLA_sync3d_c\": 1,\n \"port_input\": 31,\n \"port_output\": 17\n },\n \"avg_degree\": 3.16,\n \"module_name\": \"NV_NVDLA_GLB_ic\"\n },\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"NV_NVDLA_GLB_ic\",\n \"port_count\": {\n \"inputs\": 31,\n \"outputs\": 17,\n \"inouts\": 0,\n \"total\": 48\n },\n \"signal_count\": {\n \"wires\": 0,\n \"regs\": 37,\n \"parameters\": 0,\n \"total\": 37\n },\n \"always_blocks\": 37,\n \"assign_statements\": 15,\n \"instantiations\": [\n \"NV_NVDLA_sync3d_c\",\n \"define\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 716,\n \"total_lines\": 1036,\n \"cyclomatic_complexity\": 99,\n \"nesting_depth\": 73,\n \"operator_count\": 1532\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "category": "multi_tool", "subcategory": "graph_extractor+static_analyzer", "difficulty": "compositional", "question_hash": "71cc25e14a2f", "stage1_target": "[{\"tool\": \"graph_extractor\", \"parameters\": {\"graph_type\": \"CDFG\"}}, {\"tool\": \"static_analyzer\", \"parameters\": {\"analysis_type\": \"full\"}}]", "stage2_context": "Question: For NV_NVDLA_GLB_ic, how does the register count in the source code line up with the sequential cells in the CDFG, and does that structure explain the module's high cyclomatic complexity?\n\n[graph_extractor {\"graph_type\": \"CDFG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"CDFG\",\n...[57791 chars elided]...\n \"node_count\": 180,\n \"edge_count\": 569,\n \"graph_properties\": {\n \"node_types\": {\n \"$mux\": 34,\n \"$or\": 31,\n \"$and\": 16,\n \"$not\": 16,\n \"$adffe\": 16,\n \"$reduce_bool\": 16,\n \"$adff\": 2,\n \"NV_NVDLA_sync3d_c\": 1,\n \"port_input\": 31,\n \"port_output\": 17\n },\n \"avg_degree\": 3.16,\n \"module_name\": \"NV_NVDLA_GLB_ic\"\n },\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"NV_NVDLA_GLB_ic\",\n \"port_count\": {\n \"inputs\": 31,\n \"outputs\": 17,\n \"inouts\": 0,\n \"total\": 48\n },\n \"signal_count\": {\n \"wires\": 0,\n \"regs\": 37,\n \"parameters\": 0,\n \"total\": 37\n },\n \"always_blocks\": 37,\n \"assign_statements\": 15,\n \"instantiations\": [\n \"NV_NVDLA_sync3d_c\",\n \"define\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 716,\n \"total_lines\": 1036,\n \"cyclomatic_complexity\": 99,\n \"nesting_depth\": 73,\n \"operator_count\": 1532\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "plan_id": "b9ac8331fe03", "design_id": "4e1c2c76cc7c", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/nvdla/hw", "commit": "8e06b1b9d85aab65b40d43d08eec5ea4681ff715", "path": "vmod/nvdla/glb/NV_NVDLA_GLB_ic.v", "sha256": "723c009dbfb0f50ea383c674e1c73e14bb5dfb093ded2c1ca6092b38011024ec"}} {"question": "For NV_NVDLA_GLB_ic, which has many registers and a lot of control logic, how much of the RTL survives into the netlist intact, and would a power-focused optimization flow with clock gating be a reasonable choice? Include the register and always-block counts, the cyclomatic complexity, the RTL-to-netlist alignment and which signals didn't map, and the estimated power improvement along with its area cost.", "answer": "NV_NVDLA_GLB_ic has 37 regs in 37 always blocks and a cyclomatic complexity of 99, and its netlist matches the RTL closely: the alignment score is 97.1, with 67 of 69 RTL signals mapped and only core_intr_d and done_source left unmapped. Because there are so many registers, a power-targeted flow ending in clockgate is a good fit, with an estimated power change of -25.0 against an area overhead of 5.0.", "source_file": "github_repos/nvdla_hw/vmod/nvdla/glb/NV_NVDLA_GLB_ic.v", "module_name": "NV_NVDLA_GLB_ic", "tool_name": "cross_stage_mapper+optimization_advisor+static_analyzer", "tool_parameters": [{}, {"target_metric": "power"}, {"analysis_type": "full"}], "tool_result": "[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"cdma_wt2glb_done_intr_pd\": [\n \"cdma_wt2glb_done_intr_pd\"\n ],\n \"cdma_wt_done_mask0\": [\n \"cdma_wt_done_mask0\"\n ],\n \"sdp_done_status0_w\": [\n \"sdp_done_status0_w\"\n ],\n \"cdp_done_status0_w\": [\n \n...[3718 chars elided]...\n ],\n \"done_wr_clr\": [\n \"done_wr_clr\"\n ],\n \"cacc_done_status0_w\": [\n \"cacc_done_status0_w\"\n ],\n \"pdp_done_mask1\": [\n \"pdp_done_mask1\"\n ],\n \"cacc_done_status0\": [\n \"cacc_done_status0_w\"\n ],\n \"sdp_done_set0_trigger\": [\n \"sdp_done_set0_trigger\"\n ]\n },\n \"alignment_score\": 97.1,\n \"unmapped_elements\": [\n \"core_intr_d\",\n \"done_source\"\n ],\n \"mapping_statistics\": {\n \"rtl_signals\": 69,\n \"netlist_wires\": 401,\n \"netlist_cells\": 0,\n \"mapped_signals\": 67,\n \"unmapped_signals\": 2\n },\n \"error\": null\n}\n\n[optimization_advisor {\"target_metric\": \"power\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"power\",\n \"recommended_recipes\": [\n \"synth -top NV_NVDLA_GLB_ic\",\n \"opt; share; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean; clockgate\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"clock_gating\",\n \"description\": \"Insert clock gating for registers\",\n \"command\": \"clockgate\"\n },\n {\n \"type\": \"operand_isolation\",\n \"description\": \"Isolate operands when not in use\",\n \"command\": \"Use enable signals for arithmetic\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": 5.0,\n \"delay\": 5.0,\n \"power\": -25.0\n },\n \"trade_offs\": [\n \"Power optimization may add area overhead\",\n \"Clock gating adds timing complexity\"\n ],\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"NV_NVDLA_GLB_ic\",\n \"port_count\": {\n \"inputs\": 31,\n \"outputs\": 17,\n \"inouts\": 0,\n \"total\": 48\n },\n \"signal_count\": {\n \"wires\": 0,\n \"regs\": 37,\n \"parameters\": 0,\n \"total\": 37\n },\n \"always_blocks\": 37,\n \"assign_statements\": 15,\n \"instantiations\": [\n \"NV_NVDLA_sync3d_c\",\n \"define\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 716,\n \"total_lines\": 1036,\n \"cyclomatic_complexity\": 99,\n \"nesting_depth\": 73,\n \"operator_count\": 1532\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "category": "multi_tool", "subcategory": "cross_stage_mapper+optimization_advisor+static_analyzer", "difficulty": "compositional", "question_hash": "4da8ce0e0b0d", "stage1_target": "[{\"tool\": \"cross_stage_mapper\", \"parameters\": {}}, {\"tool\": \"optimization_advisor\", \"parameters\": {\"target_metric\": \"power\"}}, {\"tool\": \"static_analyzer\", \"parameters\": {\"analysis_type\": \"full\"}}]", "stage2_context": "Question: For NV_NVDLA_GLB_ic, which has many registers and a lot of control logic, how much of the RTL survives into the netlist intact, and would a power-focused optimization flow with clock gating be a reasonable choice? Include the register and always-block counts, the cyclomatic complexity, the RTL-to-netlist alignment and which signals didn't map, and the estimated power improvement along with its area cost.\n\n[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"cdma_wt2glb_done_intr_pd\": [\n \"cdma_wt2glb_done_intr_pd\"\n ],\n \"cdma_wt_done_mask0\": [\n \"cdma_wt_done_mask0\"\n ],\n \"sdp_done_status0_w\": [\n \"sdp_done_status0_w\"\n ],\n \"cdp_done_status0_w\": [\n \n...[3718 chars elided]...\n ],\n \"done_wr_clr\": [\n \"done_wr_clr\"\n ],\n \"cacc_done_status0_w\": [\n \"cacc_done_status0_w\"\n ],\n \"pdp_done_mask1\": [\n \"pdp_done_mask1\"\n ],\n \"cacc_done_status0\": [\n \"cacc_done_status0_w\"\n ],\n \"sdp_done_set0_trigger\": [\n \"sdp_done_set0_trigger\"\n ]\n },\n \"alignment_score\": 97.1,\n \"unmapped_elements\": [\n \"core_intr_d\",\n \"done_source\"\n ],\n \"mapping_statistics\": {\n \"rtl_signals\": 69,\n \"netlist_wires\": 401,\n \"netlist_cells\": 0,\n \"mapped_signals\": 67,\n \"unmapped_signals\": 2\n },\n \"error\": null\n}\n\n[optimization_advisor {\"target_metric\": \"power\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"power\",\n \"recommended_recipes\": [\n \"synth -top NV_NVDLA_GLB_ic\",\n \"opt; share; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean; clockgate\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"clock_gating\",\n \"description\": \"Insert clock gating for registers\",\n \"command\": \"clockgate\"\n },\n {\n \"type\": \"operand_isolation\",\n \"description\": \"Isolate operands when not in use\",\n \"command\": \"Use enable signals for arithmetic\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": 5.0,\n \"delay\": 5.0,\n \"power\": -25.0\n },\n \"trade_offs\": [\n \"Power optimization may add area overhead\",\n \"Clock gating adds timing complexity\"\n ],\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"NV_NVDLA_GLB_ic\",\n \"port_count\": {\n \"inputs\": 31,\n \"outputs\": 17,\n \"inouts\": 0,\n \"total\": 48\n },\n \"signal_count\": {\n \"wires\": 0,\n \"regs\": 37,\n \"parameters\": 0,\n \"total\": 37\n },\n \"always_blocks\": 37,\n \"assign_statements\": 15,\n \"instantiations\": [\n \"NV_NVDLA_sync3d_c\",\n \"define\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 716,\n \"total_lines\": 1036,\n \"cyclomatic_complexity\": 99,\n \"nesting_depth\": 73,\n \"operator_count\": 1532\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "plan_id": "20fb3c533029", "design_id": "4e1c2c76cc7c", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 3, "ctx_cap": 3300, "source": {"repository": "https://github.com/nvdla/hw", "commit": "8e06b1b9d85aab65b40d43d08eec5ea4681ff715", "path": "vmod/nvdla/glb/NV_NVDLA_GLB_ic.v", "sha256": "723c009dbfb0f50ea383c674e1c73e14bb5dfb093ded2c1ca6092b38011024ec"}} {"question": "For NV_NVDLA_SDP_WDMA_dat, does the RTL-to-netlist signal mapping fully account for the module's interface as shown in its CDFG, and how is the CDFG structured in terms of submodule instances, ports, and connectivity?", "answer": "In NV_NVDLA_SDP_WDMA_dat, all 46 RTL signals map to 46 netlist wires with an alignment score of 100.0 and no netlist cells. The CDFG matches a hierarchical wrapper: it has 36 nodes (23 input ports, 11 output ports, plus one NV_NVDLA_SDP_WDMA_DAT_in and one NV_NVDLA_SDP_WDMA_DAT_out instance) joined by 2062 edges, with an average degree of 57.28.", "source_file": "github_repos/nvdla_hw/vmod/nvdla/sdp/NV_NVDLA_SDP_WDMA_dat.v", "module_name": "NV_NVDLA_SDP_WDMA_dat", "tool_name": "cross_stage_mapper+graph_extractor", "tool_parameters": [{}, {"graph_type": "CDFG"}], "tool_result": "[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"dfifo1_rd_prdy\": [\n \"dfifo1_rd_prdy\"\n ],\n \"reg2dp_height\": [\n \"reg2dp_height\"\n ],\n \"dma_wr_req_rdy\": [\n \"dma_wr_req_rdy\"\n ],\n \"dfifo2_rd_prdy\": [\n \"dfifo2_rd_prdy\"\n ],\n \"dma_wr_req_type\": [\n \"dma_wr_req_type\"\n ],\n \"dma_wr_req_vld\": [\n \"dma_wr_req_vld\"\n ],\n \"cmd2dat_spt_pd\": [\n \"cmd2dat_spt_pd\"\n ],\n \n...[1572 chars elided]...\nnan_output_num\"\n ],\n \"sdp_dp2wdma_valid\": [\n \"sdp_dp2wdma_valid\"\n ],\n \"reg2dp_width\": [\n \"reg2dp_width\"\n ],\n \"reg2dp_ew_bypass\": [\n \"reg2dp_ew_bypass\"\n ],\n \"reg2dp_interrupt_ptr\": [\n \"reg2dp_interrupt_ptr\"\n ],\n \"reg2dp_ew_alu_bypass\": [\n \"reg2dp_ew_alu_bypass\"\n ],\n \"pwrbus_ram_pd\": [\n \"pwrbus_ram_pd\"\n ],\n \"intr_req_pvld\": [\n \"intr_req_pvld\"\n ],\n \"dfifo3_rd_pvld\": [\n \"dfifo3_rd_pvld\"\n ],\n \"reg2dp_ew_alu_algo\": [\n \"reg2dp_ew_alu_algo\"\n ],\n \"sdp_dp2wdma_ready\": [\n \"sdp_dp2wdma_ready\"\n ],\n \"op_load\": [\n \"op_load\"\n ]\n },\n \"alignment_score\": 100.0,\n \"unmapped_elements\": [],\n \"mapping_statistics\": {\n \"rtl_signals\": 46,\n \"netlist_wires\": 46,\n \"netlist_cells\": 0,\n \"mapped_signals\": 46,\n \"unmapped_signals\": 0\n },\n \"error\": null\n}\n\n[graph_extractor {\"graph_type\": \"CDFG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"CDFG\",\n...[33507 chars elided]...\n \"node_count\": 36,\n \"edge_count\": 2062,\n \"graph_properties\": {\n \"node_types\": {\n \"NV_NVDLA_SDP_WDMA_DAT_in\": 1,\n \"NV_NVDLA_SDP_WDMA_DAT_out\": 1,\n \"port_input\": 23,\n \"port_output\": 11\n },\n \"avg_degree\": 57.28,\n \"module_name\": \"NV_NVDLA_SDP_WDMA_dat\"\n },\n \"error\": null\n}", "category": "multi_tool", "subcategory": "cross_stage_mapper+graph_extractor", "difficulty": "compositional", "question_hash": "cf5a4dc5542e", "stage1_target": "[{\"tool\": \"cross_stage_mapper\", \"parameters\": {}}, {\"tool\": \"graph_extractor\", \"parameters\": {\"graph_type\": \"CDFG\"}}]", "stage2_context": "Question: For NV_NVDLA_SDP_WDMA_dat, does the RTL-to-netlist signal mapping fully account for the module's interface as shown in its CDFG, and how is the CDFG structured in terms of submodule instances, ports, and connectivity?\n\n[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"dfifo1_rd_prdy\": [\n \"dfifo1_rd_prdy\"\n ],\n \"reg2dp_height\": [\n \"reg2dp_height\"\n ],\n \"dma_wr_req_rdy\": [\n \"dma_wr_req_rdy\"\n ],\n \"dfifo2_rd_prdy\": [\n \"dfifo2_rd_prdy\"\n ],\n \"dma_wr_req_type\": [\n \"dma_wr_req_type\"\n ],\n \"dma_wr_req_vld\": [\n \"dma_wr_req_vld\"\n ],\n \"cmd2dat_spt_pd\": [\n \"cmd2dat_spt_pd\"\n ],\n \n...[1572 chars elided]...\nnan_output_num\"\n ],\n \"sdp_dp2wdma_valid\": [\n \"sdp_dp2wdma_valid\"\n ],\n \"reg2dp_width\": [\n \"reg2dp_width\"\n ],\n \"reg2dp_ew_bypass\": [\n \"reg2dp_ew_bypass\"\n ],\n \"reg2dp_interrupt_ptr\": [\n \"reg2dp_interrupt_ptr\"\n ],\n \"reg2dp_ew_alu_bypass\": [\n \"reg2dp_ew_alu_bypass\"\n ],\n \"pwrbus_ram_pd\": [\n \"pwrbus_ram_pd\"\n ],\n \"intr_req_pvld\": [\n \"intr_req_pvld\"\n ],\n \"dfifo3_rd_pvld\": [\n \"dfifo3_rd_pvld\"\n ],\n \"reg2dp_ew_alu_algo\": [\n \"reg2dp_ew_alu_algo\"\n ],\n \"sdp_dp2wdma_ready\": [\n \"sdp_dp2wdma_ready\"\n ],\n \"op_load\": [\n \"op_load\"\n ]\n },\n \"alignment_score\": 100.0,\n \"unmapped_elements\": [],\n \"mapping_statistics\": {\n \"rtl_signals\": 46,\n \"netlist_wires\": 46,\n \"netlist_cells\": 0,\n \"mapped_signals\": 46,\n \"unmapped_signals\": 0\n },\n \"error\": null\n}\n\n[graph_extractor {\"graph_type\": \"CDFG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"CDFG\",\n...[33507 chars elided]...\n \"node_count\": 36,\n \"edge_count\": 2062,\n \"graph_properties\": {\n \"node_types\": {\n \"NV_NVDLA_SDP_WDMA_DAT_in\": 1,\n \"NV_NVDLA_SDP_WDMA_DAT_out\": 1,\n \"port_input\": 23,\n \"port_output\": 11\n },\n \"avg_degree\": 57.28,\n \"module_name\": \"NV_NVDLA_SDP_WDMA_dat\"\n },\n \"error\": null\n}", "plan_id": "f8b881343028", "design_id": "4f6b1a2fd9a3", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/nvdla/hw", "commit": "8e06b1b9d85aab65b40d43d08eec5ea4681ff715", "path": "vmod/nvdla/sdp/NV_NVDLA_SDP_WDMA_dat.v", "sha256": "484cedac281737c1ccb3c3f5d28c541230c508b8e755463b17ebd97a42a7fd82"}} {"question": "For sirv_sim_ram, the CDFG shows a very large number of enable flip-flops, but the medium-effort synthesis result reports far fewer flip-flops. How do the storage elements in the CDFG compare with the synthesized netlist, and how does synthesis represent the RAM array instead?", "answer": "The CDFG of sirv_sim_ram has 2049 $dffe nodes, plus 3404 $and and 520 $mux nodes, across 6014 nodes in total. The medium-effort synthesis result has only 32 $_DFFE_PP_ cells, because it keeps the storage as one inferred memory of 16384 bits, accessed through 1 $memrd and 4 $memwr_v2 cells. That gives a total of 203 cells, an area of 331.5 and a delay of 331.77.", "source_file": "github_repos/riscv-mcu_e203_hbirdv2/rtl/e203/general/sirv_sim_ram.v", "module_name": "sirv_sim_ram", "tool_name": "graph_extractor+synthesis_tool", "tool_parameters": [{"graph_type": "CDFG"}, {"optimization_level": "medium"}], "tool_result": "[graph_extractor {\"graph_type\": \"CDFG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"CDFG\",\n...[49518 chars elided]...\n \"node_count\": 6014,\n \"edge_count\": 97350,\n \"graph_properties\": {\n \"node_types\": {\n \"$and\": 3404,\n \"$not\": 33,\n \"$dff\": 1,\n \"$dffe\": 2049,\n \"$mux\": 520,\n \"port_input\": 6,\n \"port_output\": 1\n },\n \"avg_degree\": 16.19,\n \"module_name\": \"sirv_sim_ram\"\n },\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 331.5,\n \"delay\": 331.77,\n \"power\": 0.203,\n \"gate_count\": 203,\n \"cell_breakdown\": {\n \"$_ANDNOT_\": 1,\n \"$_AND_\": 165,\n \"$_DFFE_PP_\": 32,\n \"$memrd\": 1,\n \"$memwr_v2\": 4\n },\n \"wire_count\": 23,\n \"wire_bits\": 553,\n \"critical_path_estimate\": 331.77,\n...[1176 chars elided]...\n \"error\": null\n}", "category": "multi_tool", "subcategory": "graph_extractor+synthesis_tool", "difficulty": "compositional", "question_hash": "1df88a370afe", "stage1_target": "[{\"tool\": \"graph_extractor\", \"parameters\": {\"graph_type\": \"CDFG\"}}, {\"tool\": \"synthesis_tool\", \"parameters\": {\"optimization_level\": \"medium\"}}]", "stage2_context": "Question: For sirv_sim_ram, the CDFG shows a very large number of enable flip-flops, but the medium-effort synthesis result reports far fewer flip-flops. How do the storage elements in the CDFG compare with the synthesized netlist, and how does synthesis represent the RAM array instead?\n\n[graph_extractor {\"graph_type\": \"CDFG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"CDFG\",\n...[49518 chars elided]...\n \"node_count\": 6014,\n \"edge_count\": 97350,\n \"graph_properties\": {\n \"node_types\": {\n \"$and\": 3404,\n \"$not\": 33,\n \"$dff\": 1,\n \"$dffe\": 2049,\n \"$mux\": 520,\n \"port_input\": 6,\n \"port_output\": 1\n },\n \"avg_degree\": 16.19,\n \"module_name\": \"sirv_sim_ram\"\n },\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 331.5,\n \"delay\": 331.77,\n \"power\": 0.203,\n \"gate_count\": 203,\n \"cell_breakdown\": {\n \"$_ANDNOT_\": 1,\n \"$_AND_\": 165,\n \"$_DFFE_PP_\": 32,\n \"$memrd\": 1,\n \"$memwr_v2\": 4\n },\n \"wire_count\": 23,\n \"wire_bits\": 553,\n \"critical_path_estimate\": 331.77,\n...[1176 chars elided]...\n \"error\": null\n}", "plan_id": "70c5960bc8c4", "design_id": "4fd939ebfdb0", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/riscv-mcu/e203_hbirdv2", "commit": "9f3e34f337f5d0a1236a285871ffa2032491617a", "path": "rtl/e203/general/sirv_sim_ram.v", "sha256": "f25074ac97a3511c393c1b17a8081ef650d1f53ab12b4f4334c222342e31e63b"}} {"question": "For the sirv_sim_ram module, I'd like to check that the different views of the design agree on its storage and write-enable structure. How does the RTL-to-netlist signal mapping (in particular, how the write-enable fans out) line up with the flip-flop and memory-write-port counts in the AIG graph and in the medium-optimization synthesis result? And how does the size of the AIG compare with the synthesized gate count?", "answer": "In sirv_sim_ram, all 4 RTL signals map to the netlist with an alignment score of 100.0, and the RTL write-enable 'we' maps to the netlist names 'wem', 'wen' and 'we'. Both the AIG and the medium-optimization synthesis show 32 $_DFFE_PP_ flip-flops, 4 $memwr_v2 write ports and 1 $memrd read port. The AIG is much larger, with 1871 nodes (786 $_AND_ and 1041 $_NOT_), while synthesis brings it down to 203 gates (165 $_AND_ and 1 $_ANDNOT_) with an area of 331.5 and a delay of 331.77.", "source_file": "github_repos/riscv-mcu_e203_hbirdv2/rtl/e203/general/sirv_sim_ram.v", "module_name": "sirv_sim_ram", "tool_name": "cross_stage_mapper+graph_extractor+synthesis_tool", "tool_parameters": [{}, {"graph_type": "AIG"}, {"optimization_level": "medium"}], "tool_result": "[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"we\": [\n \"wem\",\n \"wen\",\n \"we\"\n ],\n \"clk\": [\n \"clk\"\n ],\n \"ren\": [\n \"ren\"\n ],\n \"cs\": [\n \"cs\"\n ]\n },\n \"alignment_score\": 100.0,\n \"unmapped_elements\": [],\n \"mapping_statistics\": {\n \"rtl_signals\": 4,\n \"netlist_wires\": 356,\n \"netlist_cells\": 0,\n \"mapped_signals\": 4,\n \"unmapped_signals\": 0\n },\n \"error\": null\n}\n\n[graph_extractor {\"graph_type\": \"AIG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"AIG\",\n...[34896 chars elided]...\n \"node_count\": 1871,\n \"edge_count\": 5022,\n \"graph_properties\": {\n \"node_types\": {\n \"$memrd\": 1,\n \"$_AND_\": 786,\n \"$_NOT_\": 1041,\n \"$_DFFE_PP_\": 32,\n \"$memwr_v2\": 4,\n \"port_input\": 6,\n \"port_output\": 1\n },\n \"avg_degree\": 2.68,\n \"module_name\": \"sirv_sim_ram\"\n },\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 331.5,\n \"delay\": 331.77,\n \"power\": 0.203,\n \"gate_count\": 203,\n \"cell_breakdown\": {\n \"$_ANDNOT_\": 1,\n \"$_AND_\": 165,\n \"$_DFFE_PP_\": 32,\n \"$memrd\": 1,\n \"$memwr_v2\": 4\n },\n \"wire_count\": 23,\n \"wire_bits\": 553,\n \"critical_path_estim\n...[1626 chars elided]...\n \"error\": null\n}", "category": "multi_tool", "subcategory": "cross_stage_mapper+graph_extractor+synthesis_tool", "difficulty": "compositional", "question_hash": "907ce0ae3341", "stage1_target": "[{\"tool\": \"cross_stage_mapper\", \"parameters\": {}}, {\"tool\": \"graph_extractor\", \"parameters\": {\"graph_type\": \"AIG\"}}, {\"tool\": \"synthesis_tool\", \"parameters\": {\"optimization_level\": \"medium\"}}]", "stage2_context": "Question: For the sirv_sim_ram module, I'd like to check that the different views of the design agree on its storage and write-enable structure. How does the RTL-to-netlist signal mapping (in particular, how the write-enable fans out) line up with the flip-flop and memory-write-port counts in the AIG graph and in the medium-optimization synthesis result? And how does the size of the AIG compare with the synthesized gate count?\n\n[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"we\": [\n \"wem\",\n \"wen\",\n \"we\"\n ],\n \"clk\": [\n \"clk\"\n ],\n \"ren\": [\n \"ren\"\n ],\n \"cs\": [\n \"cs\"\n ]\n },\n \"alignment_score\": 100.0,\n \"unmapped_elements\": [],\n \"mapping_statistics\": {\n \"rtl_signals\": 4,\n \"netlist_wires\": 356,\n \"netlist_cells\": 0,\n \"mapped_signals\": 4,\n \"unmapped_signals\": 0\n },\n \"error\": null\n}\n\n[graph_extractor {\"graph_type\": \"AIG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"AIG\",\n...[34896 chars elided]...\n \"node_count\": 1871,\n \"edge_count\": 5022,\n \"graph_properties\": {\n \"node_types\": {\n \"$memrd\": 1,\n \"$_AND_\": 786,\n \"$_NOT_\": 1041,\n \"$_DFFE_PP_\": 32,\n \"$memwr_v2\": 4,\n \"port_input\": 6,\n \"port_output\": 1\n },\n \"avg_degree\": 2.68,\n \"module_name\": \"sirv_sim_ram\"\n },\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 331.5,\n \"delay\": 331.77,\n \"power\": 0.203,\n \"gate_count\": 203,\n \"cell_breakdown\": {\n \"$_ANDNOT_\": 1,\n \"$_AND_\": 165,\n \"$_DFFE_PP_\": 32,\n \"$memrd\": 1,\n \"$memwr_v2\": 4\n },\n \"wire_count\": 23,\n \"wire_bits\": 553,\n \"critical_path_estim\n...[1626 chars elided]...\n \"error\": null\n}", "plan_id": "de2a87939c69", "design_id": "4fd939ebfdb0", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 3, "ctx_cap": 3300, "source": {"repository": "https://github.com/riscv-mcu/e203_hbirdv2", "commit": "9f3e34f337f5d0a1236a285871ffa2032491617a", "path": "rtl/e203/general/sirv_sim_ram.v", "sha256": "f25074ac97a3511c393c1b17a8081ef650d1f53ab12b4f4334c222342e31e63b"}} {"question": "For NV_NVDLA_sync3d_c, how does the CDFG's makeup of nodes and edges line up with the cell breakdown from a medium-effort synthesis run, and what area and delay does that synthesis report?", "answer": "The CDFG for NV_NVDLA_sync3d_c has 8 nodes and 10 edges, made up of 1 MUX2HDD2, 2 NV_BLKBOX_SRC0, 1 sync3d_c_ppp and 4 port nodes. That matches the synthesis result of 4 cells (the same 1 MUX2HDD2, 2 NV_BLKBOX_SRC0 and 1 sync3d_c_ppp). Synthesis reports an area of 4.0 and a delay of 75.79.", "source_file": "github_repos/nvdla_hw/vmod/nvdla/car/NV_NVDLA_sync3d_c.v", "module_name": "NV_NVDLA_sync3d_c", "tool_name": "graph_extractor+synthesis_tool", "tool_parameters": [{"graph_type": "CDFG"}, {"optimization_level": "medium"}], "tool_result": "[graph_extractor {\"graph_type\": \"CDFG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"CDFG\",\n...[1428 chars elided]...\n \"node_count\": 8,\n \"edge_count\": 10,\n \"graph_properties\": {\n \"node_types\": {\n \"MUX2HDD2\": 1,\n \"NV_BLKBOX_SRC0\": 2,\n \"sync3d_c_ppp\": 1,\n \"port_input\": 3,\n \"port_output\": 1\n },\n \"avg_degree\": 1.25,\n \"module_name\": \"NV_NVDLA_sync3d_c\"\n },\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 4.0,\n \"delay\": 75.79,\n \"power\": 0.004,\n \"gate_count\": 4,\n \"cell_breakdown\": {\n \"MUX2HDD2\": 1,\n \"NV_BLKBOX_SRC0\": 2,\n \"sync3d_c_ppp\": 1\n },\n \"wire_count\": 11,\n \"wire_bits\": 11,\n \"critical_path_estimate\": 75.79,\n...[1130 chars elided]...\n \"error\": null\n}", "category": "multi_tool", "subcategory": "graph_extractor+synthesis_tool", "difficulty": "compositional", "question_hash": "16617108b6a5", "stage1_target": "[{\"tool\": \"graph_extractor\", \"parameters\": {\"graph_type\": \"CDFG\"}}, {\"tool\": \"synthesis_tool\", \"parameters\": {\"optimization_level\": \"medium\"}}]", "stage2_context": "Question: For NV_NVDLA_sync3d_c, how does the CDFG's makeup of nodes and edges line up with the cell breakdown from a medium-effort synthesis run, and what area and delay does that synthesis report?\n\n[graph_extractor {\"graph_type\": \"CDFG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"CDFG\",\n...[1428 chars elided]...\n \"node_count\": 8,\n \"edge_count\": 10,\n \"graph_properties\": {\n \"node_types\": {\n \"MUX2HDD2\": 1,\n \"NV_BLKBOX_SRC0\": 2,\n \"sync3d_c_ppp\": 1,\n \"port_input\": 3,\n \"port_output\": 1\n },\n \"avg_degree\": 1.25,\n \"module_name\": \"NV_NVDLA_sync3d_c\"\n },\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 4.0,\n \"delay\": 75.79,\n \"power\": 0.004,\n \"gate_count\": 4,\n \"cell_breakdown\": {\n \"MUX2HDD2\": 1,\n \"NV_BLKBOX_SRC0\": 2,\n \"sync3d_c_ppp\": 1\n },\n \"wire_count\": 11,\n \"wire_bits\": 11,\n \"critical_path_estimate\": 75.79,\n...[1130 chars elided]...\n \"error\": null\n}", "plan_id": "e403341aa054", "design_id": "5069ee26c049", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/nvdla/hw", "commit": "8e06b1b9d85aab65b40d43d08eec5ea4681ff715", "path": "vmod/nvdla/car/NV_NVDLA_sync3d_c.v", "sha256": "8f5fc1fba9635d725b6226424dd85aaf50d23be82089f81005f0cfeb19894faf"}} {"question": "In NV_NVDLA_sync3d_c, a lot of the RandSync* and prand_* RTL signals don't show up in the netlist. Given how well the RTL maps to the netlist overall, how far should I trust a delay-targeted optimization flow's projected timing improvement for this module, and what does that flow cost?", "answer": "For NV_NVDLA_sync3d_c, the RTL-to-netlist alignment score is only 32.43, with 25 of 37 RTL signals unmapped, mostly the RandSync*/prand_* randomization logic. Because only 12 signals map to 11 netlist wires and 0 cells, the delay-targeted flow's estimated delay change of -20.0 should be treated with caution. That flow also comes with an estimated area increase of 10.0 and a power increase of 5.0.", "source_file": "github_repos/nvdla_hw/vmod/nvdla/car/NV_NVDLA_sync3d_c.v", "module_name": "NV_NVDLA_sync3d_c", "tool_name": "cross_stage_mapper+optimization_advisor", "tool_parameters": [{}, {"target_metric": "delay"}], "tool_result": "[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"prand_initialized0\": [],\n \"rst\": [\n \"rst\"\n ],\n \"RandSyncBusDelta\": [],\n \"clk\": [\n \"clk\"\n ],\n \"RandSyncBusCurr\": [],\n \"RandSyncBusKnown\": [],\n \"RandSyncBusPipe\": [],\n \"RandSyncSnap\": [],\n \"RandSyncBitEnable\": [],\n \"sync_ibus_preDFTxclamp\": [\n \"sync_ibus_preDFTxclamp\"\n ],\n \"sync_bbus\": [\n \"sync_bbus\"\n ],\n \"dft_x\n...[933 chars elided]...\nx_i1_sync_i\"\n ],\n \"RandSyncBusEnable\": [],\n \"diff\": [],\n \"min\": [],\n \"prand_local_seed1\": [],\n \"RandSyncBusNext\": [],\n \"prand_no_rollpli0\": [],\n \"max\": []\n },\n \"alignment_score\": 32.43,\n \"unmapped_elements\": [\n \"prand_initialized0\",\n \"RandSyncBusDelta\",\n \"RandSyncBusCurr\",\n \"RandSyncBusKnown\",\n \"RandSyncBusPipe\",\n \"RandSyncSnap\",\n \"RandSyncBitEnable\",\n \"RandSyncBusPick\",\n \"RandSyncEnable\",\n \"prand_initialized1\",\n \"RandSyncTaskBusCurr\",\n \"RandSyncBusRand\",\n \"prand_no_rollpli1\",\n \"RandSyncTaskBusPrev\",\n \"RandSyncEval\",\n \"RandSyncDone\",\n \"prand_local_seed0\",\n \"RandSyncDiff\",\n \"RandSyncBusEnable\",\n \"diff\"\n ],\n \"mapping_statistics\": {\n \"rtl_signals\": 37,\n \"netlist_wires\": 11,\n \"netlist_cells\": 0,\n \"mapped_signals\": 12,\n \"unmapped_signals\": 25\n },\n \"error\": null\n}\n\n[optimization_advisor {\"target_metric\": \"delay\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"delay\",\n \"recommended_recipes\": [\n \"synth -top NV_NVDLA_sync3d_c\",\n \"opt -fast\",\n \"abc -fast -liberty stdcells.lib\",\n \"opt_clean\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"pipeline_insertion\",\n \"description\": \"Consider pipelining arithmetic operations\",\n \"command\": \"Use register retiming\"\n },\n {\n \"type\": \"logic_duplication\",\n \"description\": \"Duplicate logic to reduce fanout\",\n \"command\": \"splitnets -driver\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": 10.0,\n \"delay\": -20.0,\n \"power\": 5.0\n },\n \"trade_offs\": [\n \"Speed optimization increases area\",\n \"Higher power consumption\"\n ],\n \"error\": null\n}", "category": "multi_tool", "subcategory": "cross_stage_mapper+optimization_advisor", "difficulty": "compositional", "question_hash": "ddad897eca02", "stage1_target": "[{\"tool\": \"cross_stage_mapper\", \"parameters\": {}}, {\"tool\": \"optimization_advisor\", \"parameters\": {\"target_metric\": \"delay\"}}]", "stage2_context": "Question: In NV_NVDLA_sync3d_c, a lot of the RandSync* and prand_* RTL signals don't show up in the netlist. Given how well the RTL maps to the netlist overall, how far should I trust a delay-targeted optimization flow's projected timing improvement for this module, and what does that flow cost?\n\n[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"prand_initialized0\": [],\n \"rst\": [\n \"rst\"\n ],\n \"RandSyncBusDelta\": [],\n \"clk\": [\n \"clk\"\n ],\n \"RandSyncBusCurr\": [],\n \"RandSyncBusKnown\": [],\n \"RandSyncBusPipe\": [],\n \"RandSyncSnap\": [],\n \"RandSyncBitEnable\": [],\n \"sync_ibus_preDFTxclamp\": [\n \"sync_ibus_preDFTxclamp\"\n ],\n \"sync_bbus\": [\n \"sync_bbus\"\n ],\n \"dft_x\n...[933 chars elided]...\nx_i1_sync_i\"\n ],\n \"RandSyncBusEnable\": [],\n \"diff\": [],\n \"min\": [],\n \"prand_local_seed1\": [],\n \"RandSyncBusNext\": [],\n \"prand_no_rollpli0\": [],\n \"max\": []\n },\n \"alignment_score\": 32.43,\n \"unmapped_elements\": [\n \"prand_initialized0\",\n \"RandSyncBusDelta\",\n \"RandSyncBusCurr\",\n \"RandSyncBusKnown\",\n \"RandSyncBusPipe\",\n \"RandSyncSnap\",\n \"RandSyncBitEnable\",\n \"RandSyncBusPick\",\n \"RandSyncEnable\",\n \"prand_initialized1\",\n \"RandSyncTaskBusCurr\",\n \"RandSyncBusRand\",\n \"prand_no_rollpli1\",\n \"RandSyncTaskBusPrev\",\n \"RandSyncEval\",\n \"RandSyncDone\",\n \"prand_local_seed0\",\n \"RandSyncDiff\",\n \"RandSyncBusEnable\",\n \"diff\"\n ],\n \"mapping_statistics\": {\n \"rtl_signals\": 37,\n \"netlist_wires\": 11,\n \"netlist_cells\": 0,\n \"mapped_signals\": 12,\n \"unmapped_signals\": 25\n },\n \"error\": null\n}\n\n[optimization_advisor {\"target_metric\": \"delay\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"delay\",\n \"recommended_recipes\": [\n \"synth -top NV_NVDLA_sync3d_c\",\n \"opt -fast\",\n \"abc -fast -liberty stdcells.lib\",\n \"opt_clean\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"pipeline_insertion\",\n \"description\": \"Consider pipelining arithmetic operations\",\n \"command\": \"Use register retiming\"\n },\n {\n \"type\": \"logic_duplication\",\n \"description\": \"Duplicate logic to reduce fanout\",\n \"command\": \"splitnets -driver\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": 10.0,\n \"delay\": -20.0,\n \"power\": 5.0\n },\n \"trade_offs\": [\n \"Speed optimization increases area\",\n \"Higher power consumption\"\n ],\n \"error\": null\n}", "plan_id": "12ae71440cbe", "design_id": "5069ee26c049", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/nvdla/hw", "commit": "8e06b1b9d85aab65b40d43d08eec5ea4681ff715", "path": "vmod/nvdla/car/NV_NVDLA_sync3d_c.v", "sha256": "8f5fc1fba9635d725b6226424dd85aaf50d23be82089f81005f0cfeb19894faf"}} {"question": "For NV_NVDLA_CVIF_write, how well do the RTL signals line up with the synthesized netlist? And if I run an area-targeted optimization flow with aggressive resource sharing, what area change should I expect, and what trade-offs come with it?", "answer": "NV_NVDLA_CVIF_write lines up perfectly between RTL and netlist: all 63 RTL signals map to 63 netlist wires, with an alignment score of 100.0 and 0 unmapped signals. An area-targeted flow using 'share -aggressive' is estimated to change area by -15.0 and power by -10.0, but delay by +5.0, so the cost is extra delay and more complex routing.", "source_file": "github_repos/nvdla_hw/vmod/nvdla/nocif/NV_NVDLA_CVIF_write.v", "module_name": "NV_NVDLA_CVIF_write", "tool_name": "cross_stage_mapper+optimization_advisor", "tool_parameters": [{}, {"target_metric": "area"}], "tool_result": "[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"cvif2cdp_wr_rsp_complete\": [\n \"cvif2cdp_wr_rsp_complete\"\n ],\n \"cq_rd0_prdy\": [\n \"cq_rd0_prdy\"\n ],\n \"cq_wr_pvld\": [\n \"cq_wr_pvld\"\n ],\n \"noc2cvif_axi_b_bid\": [\n \"noc2cvif_axi_b_bid\"\n ],\n \"cdp2cvif_wr_req_valid\": [\n \"cdp2cvif_wr_req_valid\"\n ],\n \"cvif2rbk_wr_rsp_complete\": [\n \"cvif2rbk_wr_rsp_complete\"\n ],\n \"cq_r\n...[2770 chars elided]...\n \"sdp2cvif_wr_req_pd\": [\n \"sdp2cvif_wr_req_pd\"\n ],\n \"bdma2cvif_wr_req_pd\": [\n \"bdma2cvif_wr_req_pd\"\n ],\n \"cq_rd3_pvld\": [\n \"cq_rd3_pvld\"\n ],\n \"reg2dp_wr_weight_bdma\": [\n \"reg2dp_wr_weight_bdma\"\n ],\n \"cvif2bdma_wr_rsp_complete\": [\n \"cvif2bdma_wr_rsp_complete\"\n ],\n \"cvif2noc_axi_aw_awid\": [\n \"cvif2noc_axi_aw_awid\"\n ],\n \"sdp2cvif_wr_req_ready\": [\n \"sdp2cvif_wr_req_ready\"\n ],\n \"cvif2noc_axi_aw_awaddr\": [\n \"cvif2noc_axi_aw_awaddr\"\n ],\n \"cvif2noc_axi_w_wvalid\": [\n \"cvif2noc_axi_w_wvalid\"\n ],\n \"cq_wr_thread_id\": [\n \"cq_wr_thread_id\"\n ]\n },\n \"alignment_score\": 100.0,\n \"unmapped_elements\": [],\n \"mapping_statistics\": {\n \"rtl_signals\": 63,\n \"netlist_wires\": 63,\n \"netlist_cells\": 0,\n \"mapped_signals\": 63,\n \"unmapped_signals\": 0\n },\n \"error\": null\n}\n\n[optimization_advisor {\"target_metric\": \"area\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"area\",\n \"recommended_recipes\": [\n \"synth -top NV_NVDLA_CVIF_write -flatten\",\n \"opt -full; share -aggressive; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean -purge\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"resource_sharing\",\n \"description\": \"Share arithmetic operators\",\n \"command\": \"share -aggressive\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": -15.0,\n \"delay\": 5.0,\n \"power\": -10.0\n },\n \"trade_offs\": [\n \"Area optimization may increase delay\",\n \"Aggressive sharing increases routing complexity\"\n ],\n \"error\": null\n}", "category": "multi_tool", "subcategory": "cross_stage_mapper+optimization_advisor", "difficulty": "compositional", "question_hash": "9f4032f0d519", "stage1_target": "[{\"tool\": \"cross_stage_mapper\", \"parameters\": {}}, {\"tool\": \"optimization_advisor\", \"parameters\": {\"target_metric\": \"area\"}}]", "stage2_context": "Question: For NV_NVDLA_CVIF_write, how well do the RTL signals line up with the synthesized netlist? And if I run an area-targeted optimization flow with aggressive resource sharing, what area change should I expect, and what trade-offs come with it?\n\n[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"cvif2cdp_wr_rsp_complete\": [\n \"cvif2cdp_wr_rsp_complete\"\n ],\n \"cq_rd0_prdy\": [\n \"cq_rd0_prdy\"\n ],\n \"cq_wr_pvld\": [\n \"cq_wr_pvld\"\n ],\n \"noc2cvif_axi_b_bid\": [\n \"noc2cvif_axi_b_bid\"\n ],\n \"cdp2cvif_wr_req_valid\": [\n \"cdp2cvif_wr_req_valid\"\n ],\n \"cvif2rbk_wr_rsp_complete\": [\n \"cvif2rbk_wr_rsp_complete\"\n ],\n \"cq_r\n...[2770 chars elided]...\n \"sdp2cvif_wr_req_pd\": [\n \"sdp2cvif_wr_req_pd\"\n ],\n \"bdma2cvif_wr_req_pd\": [\n \"bdma2cvif_wr_req_pd\"\n ],\n \"cq_rd3_pvld\": [\n \"cq_rd3_pvld\"\n ],\n \"reg2dp_wr_weight_bdma\": [\n \"reg2dp_wr_weight_bdma\"\n ],\n \"cvif2bdma_wr_rsp_complete\": [\n \"cvif2bdma_wr_rsp_complete\"\n ],\n \"cvif2noc_axi_aw_awid\": [\n \"cvif2noc_axi_aw_awid\"\n ],\n \"sdp2cvif_wr_req_ready\": [\n \"sdp2cvif_wr_req_ready\"\n ],\n \"cvif2noc_axi_aw_awaddr\": [\n \"cvif2noc_axi_aw_awaddr\"\n ],\n \"cvif2noc_axi_w_wvalid\": [\n \"cvif2noc_axi_w_wvalid\"\n ],\n \"cq_wr_thread_id\": [\n \"cq_wr_thread_id\"\n ]\n },\n \"alignment_score\": 100.0,\n \"unmapped_elements\": [],\n \"mapping_statistics\": {\n \"rtl_signals\": 63,\n \"netlist_wires\": 63,\n \"netlist_cells\": 0,\n \"mapped_signals\": 63,\n \"unmapped_signals\": 0\n },\n \"error\": null\n}\n\n[optimization_advisor {\"target_metric\": \"area\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"area\",\n \"recommended_recipes\": [\n \"synth -top NV_NVDLA_CVIF_write -flatten\",\n \"opt -full; share -aggressive; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean -purge\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"resource_sharing\",\n \"description\": \"Share arithmetic operators\",\n \"command\": \"share -aggressive\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": -15.0,\n \"delay\": 5.0,\n \"power\": -10.0\n },\n \"trade_offs\": [\n \"Area optimization may increase delay\",\n \"Aggressive sharing increases routing complexity\"\n ],\n \"error\": null\n}", "plan_id": "e17af521a299", "design_id": "5416e7a23b76", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/nvdla/hw", "commit": "8e06b1b9d85aab65b40d43d08eec5ea4681ff715", "path": "vmod/nvdla/nocif/NV_NVDLA_CVIF_write.v", "sha256": "09c071f7f7bb3a6e29f2a58ce378903f134301c9b4fe5009a70c62bec0877b13"}} {"question": "For NV_NVDLA_CDP_dp, how well do the RTL signals line up with the netlist, which control enables fail to map, and what improvement can I expect if I optimize this module for power?", "answer": "For NV_NVDLA_CDP_dp, 191 of 195 RTL signals map to the netlist, giving an alignment score of 97.95. The 4 unmapped signals are fp16_en, int8_en, int16_en and sqsum_bypass_en. Optimizing for power with clock gating and operand isolation is estimated to give a -25.0 change in power, while area and delay each worsen by 5.0.", "source_file": "github_repos/nvdla_hw/vmod/nvdla/cdp/NV_NVDLA_CDP_dp.v", "module_name": "NV_NVDLA_CDP_dp", "tool_name": "cross_stage_mapper+optimization_advisor", "tool_parameters": [{}, {"target_metric": "power"}], "tool_result": "[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"dp2lut_X_entry_2\": [\n \"dp2lut_X_entry_2\"\n ],\n \"lut2intp_X_data_20_17b\": [\n \"lut2intp_X_data_20_17b\"\n ],\n \"reg2dp_lut_hybrid_priority\": [\n \"reg2dp_lut_hybrid_priority\"\n ],\n \"dp2reg_d0_perf_lut_oflow\": [\n \"dp2reg_d0_perf_lut_oflow\"\n ],\n \"lutctrl_in_pd\": [\n \"lutctrl_in_pd\"\n ],\n \"sync2mul_prdy\": [\n \"sync2mul_prdy\"\n \n...[11176 chars elided]...\n_lut_le_slope_uflow_shift\"\n ],\n \"reg2dp_datin_scale\": [\n \"reg2dp_datin_scale\"\n ],\n \"lut2intp_X_data_50\": [\n \"lut2intp_X_data_50\",\n \"lut2intp_X_data_50_17b\"\n ],\n \"dp2lut_X_entry_0\": [\n \"dp2lut_X_entry_0\"\n ],\n \"dp2lut_Yinfo_2\": [\n \"dp2lut_Yinfo_2\"\n ],\n \"lut2intp_X_data_61\": [\n \"lut2intp_X_data_61\"\n ],\n \"cvtin_out_int8_1\": [\n \"cvtin_out_int8_1\"\n ],\n \"dp2reg_d1_perf_lut_lo_hit\": [\n \"dp2reg_d1_perf_lut_lo_hit\"\n ],\n \"nvdla_op_gated_clk_int\": [\n \"nvdla_op_gated_clk_int\"\n ]\n },\n \"alignment_score\": 97.95,\n \"unmapped_elements\": [\n \"fp16_en\",\n \"int8_en\",\n \"int16_en\",\n \"sqsum_bypass_en\"\n ],\n \"mapping_statistics\": {\n \"rtl_signals\": 195,\n \"netlist_wires\": 1086,\n \"netlist_cells\": 0,\n \"mapped_signals\": 191,\n \"unmapped_signals\": 4\n },\n \"error\": null\n}\n\n[optimization_advisor {\"target_metric\": \"power\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"power\",\n \"recommended_recipes\": [\n \"synth -top NV_NVDLA_CDP_dp\",\n \"opt; share; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean; clockgate\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"clock_gating\",\n \"description\": \"Insert clock gating for registers\",\n \"command\": \"clockgate\"\n },\n {\n \"type\": \"operand_isolation\",\n \"description\": \"Isolate operands when not in use\",\n \"command\": \"Use enable signals for arithmetic\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": 5.0,\n \"delay\": 5.0,\n \"power\": -25.0\n },\n \"trade_offs\": [\n \"Power optimization may add area overhead\",\n \"Clock gating adds timing complexity\"\n ],\n \"error\": null\n}", "category": "multi_tool", "subcategory": "cross_stage_mapper+optimization_advisor", "difficulty": "compositional", "question_hash": "1f0bf2d07e1b", "stage1_target": "[{\"tool\": \"cross_stage_mapper\", \"parameters\": {}}, {\"tool\": \"optimization_advisor\", \"parameters\": {\"target_metric\": \"power\"}}]", "stage2_context": "Question: For NV_NVDLA_CDP_dp, how well do the RTL signals line up with the netlist, which control enables fail to map, and what improvement can I expect if I optimize this module for power?\n\n[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"dp2lut_X_entry_2\": [\n \"dp2lut_X_entry_2\"\n ],\n \"lut2intp_X_data_20_17b\": [\n \"lut2intp_X_data_20_17b\"\n ],\n \"reg2dp_lut_hybrid_priority\": [\n \"reg2dp_lut_hybrid_priority\"\n ],\n \"dp2reg_d0_perf_lut_oflow\": [\n \"dp2reg_d0_perf_lut_oflow\"\n ],\n \"lutctrl_in_pd\": [\n \"lutctrl_in_pd\"\n ],\n \"sync2mul_prdy\": [\n \"sync2mul_prdy\"\n \n...[11176 chars elided]...\n_lut_le_slope_uflow_shift\"\n ],\n \"reg2dp_datin_scale\": [\n \"reg2dp_datin_scale\"\n ],\n \"lut2intp_X_data_50\": [\n \"lut2intp_X_data_50\",\n \"lut2intp_X_data_50_17b\"\n ],\n \"dp2lut_X_entry_0\": [\n \"dp2lut_X_entry_0\"\n ],\n \"dp2lut_Yinfo_2\": [\n \"dp2lut_Yinfo_2\"\n ],\n \"lut2intp_X_data_61\": [\n \"lut2intp_X_data_61\"\n ],\n \"cvtin_out_int8_1\": [\n \"cvtin_out_int8_1\"\n ],\n \"dp2reg_d1_perf_lut_lo_hit\": [\n \"dp2reg_d1_perf_lut_lo_hit\"\n ],\n \"nvdla_op_gated_clk_int\": [\n \"nvdla_op_gated_clk_int\"\n ]\n },\n \"alignment_score\": 97.95,\n \"unmapped_elements\": [\n \"fp16_en\",\n \"int8_en\",\n \"int16_en\",\n \"sqsum_bypass_en\"\n ],\n \"mapping_statistics\": {\n \"rtl_signals\": 195,\n \"netlist_wires\": 1086,\n \"netlist_cells\": 0,\n \"mapped_signals\": 191,\n \"unmapped_signals\": 4\n },\n \"error\": null\n}\n\n[optimization_advisor {\"target_metric\": \"power\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"power\",\n \"recommended_recipes\": [\n \"synth -top NV_NVDLA_CDP_dp\",\n \"opt; share; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean; clockgate\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"clock_gating\",\n \"description\": \"Insert clock gating for registers\",\n \"command\": \"clockgate\"\n },\n {\n \"type\": \"operand_isolation\",\n \"description\": \"Isolate operands when not in use\",\n \"command\": \"Use enable signals for arithmetic\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": 5.0,\n \"delay\": 5.0,\n \"power\": -25.0\n },\n \"trade_offs\": [\n \"Power optimization may add area overhead\",\n \"Clock gating adds timing complexity\"\n ],\n \"error\": null\n}", "plan_id": "c800b65f7301", "design_id": "54da21d98187", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/nvdla/hw", "commit": "8e06b1b9d85aab65b40d43d08eec5ea4681ff715", "path": "vmod/nvdla/cdp/NV_NVDLA_CDP_dp.v", "sha256": "43a5db8393420ed6271a5157266912b8658b81dd1b36a274e7d9e4422480a11a"}} {"question": "For RAMPDP_160X82_GL_M2_D2, how well does the synthesized netlist line up with the RTL, and what does the medium-effort synthesis say about cell makeup and timing? I'm wondering whether the latch-heavy implementation could explain why so many RTL signals don't map to the netlist.", "answer": "For RAMPDP_160X82_GL_M2_D2, the RTL-to-netlist alignment score is only 26.07, with 67 of 257 RTL signals mapped and 190 unmapped (for example Q_82, memout and dout_LAT). The medium-effort synthesis gives an area of 20706.0, a delay of 350.12 and 20359 gates, and 6560 of those cells are $_DLATCH_N_ latches. This suggests the per-bit storage was flattened into latch arrays across 29338 netlist wires, which plausibly explains why the individual Q_* outputs don't map back to the RTL.", "source_file": "github_repos/nvdla_hw/vmod/rams/model/RAMPDP_160X82_GL_M2_D2.v", "module_name": "RAMPDP_160X82_GL_M2_D2", "tool_name": "cross_stage_mapper+synthesis_tool", "tool_parameters": [{}, {"optimization_level": "medium"}], "tool_result": "[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"Q_82\": [],\n \"Q_15\": [],\n \"Q_117\": [],\n \"Q_83\": [],\n \"Q_115\": [],\n \"Q_131\": [],\n \"fuseien\": [\n \"fuseien\"\n ],\n \"Q_95\": [],\n \"outvalid\": [],\n \"RADR\": [\n \"RADR_2\",\n \"RADR_3\",\n \"RADR_6\",\n \"RADR_0\",\n \"RADR_1\"\n ],\n \"Q_45\": [],\n \"Q_7\": [],\n \"Q_125\": [],\n \"r\": [\n \"clobber_array\",\n \"rdarr\",\n \"br\n...[5878 chars elided]...\n [],\n \"RD_LAT\": [],\n \"clobber_flops\": [\n \"clobber_flops\"\n ],\n \"WDBQ\": [\n \"WDBQ_pr\",\n \"WDBQ\"\n ],\n \"Q_6\": [],\n \"Q_99\": [],\n \"c\": [\n \"clobber_array\",\n \"wrclk\",\n \"clobber_x\",\n \"latffclk\",\n \"clamp_rd\"\n ],\n \"Q_8\": [],\n \"Q_132\": [],\n \"Q_51\": [],\n \"Q_16\": [],\n \"Q_42\": [],\n \"Q_27\": [],\n \"Q_38\": []\n },\n \"alignment_score\": 26.07,\n \"unmapped_elements\": [\n \"Q_82\",\n \"Q_15\",\n \"Q_117\",\n \"Q_83\",\n \"Q_115\",\n \"Q_131\",\n \"Q_95\",\n \"outvalid\",\n \"Q_45\",\n \"Q_7\",\n \"Q_125\",\n \"Q_143\",\n \"bits\",\n \"Q_113\",\n \"Q_34\",\n \"Q_54\",\n \"Q_47\",\n \"Q_121\",\n \"memout\",\n \"dout_LAT\"\n ],\n \"mapping_statistics\": {\n \"rtl_signals\": 257,\n \"netlist_wires\": 29338,\n \"netlist_cells\": 0,\n \"mapped_signals\": 67,\n \"unmapped_signals\": 190\n },\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 20706.0,\n \"delay\": 350.12,\n \"power\": 20.359,\n \"gate_count\": 20359,\n \"cell_breakdown\": {\n \"$_ANDNOT_\": 82,\n \"$_AND_\": 6,\n \"$_DLATCH_N_\": 6560,\n \"$_NAND_\": 84,\n \"$_NOR_\": 3,\n \"$_DFF_P_\": 90,\n \"$_DLATCH_P_\": 93,\n \"$_NOT_\": 3,\n \"$_ORNOT_\": 1,\n \"$_OR_\": 165,\n \"$paramod$bc81c79e7d3514e16c66d489c274516224c265df\\\\RAMPDP_160X82_GL_M2_D2_ram\": 2,\n \"RAM_BANK_RAMPDP_160X\n...[1430 chars elided]...\n \"error\": null\n}", "category": "multi_tool", "subcategory": "cross_stage_mapper+synthesis_tool", "difficulty": "compositional", "question_hash": "603cd7b671c6", "stage1_target": "[{\"tool\": \"cross_stage_mapper\", \"parameters\": {}}, {\"tool\": \"synthesis_tool\", \"parameters\": {\"optimization_level\": \"medium\"}}]", "stage2_context": "Question: For RAMPDP_160X82_GL_M2_D2, how well does the synthesized netlist line up with the RTL, and what does the medium-effort synthesis say about cell makeup and timing? I'm wondering whether the latch-heavy implementation could explain why so many RTL signals don't map to the netlist.\n\n[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"Q_82\": [],\n \"Q_15\": [],\n \"Q_117\": [],\n \"Q_83\": [],\n \"Q_115\": [],\n \"Q_131\": [],\n \"fuseien\": [\n \"fuseien\"\n ],\n \"Q_95\": [],\n \"outvalid\": [],\n \"RADR\": [\n \"RADR_2\",\n \"RADR_3\",\n \"RADR_6\",\n \"RADR_0\",\n \"RADR_1\"\n ],\n \"Q_45\": [],\n \"Q_7\": [],\n \"Q_125\": [],\n \"r\": [\n \"clobber_array\",\n \"rdarr\",\n \"br\n...[5878 chars elided]...\n [],\n \"RD_LAT\": [],\n \"clobber_flops\": [\n \"clobber_flops\"\n ],\n \"WDBQ\": [\n \"WDBQ_pr\",\n \"WDBQ\"\n ],\n \"Q_6\": [],\n \"Q_99\": [],\n \"c\": [\n \"clobber_array\",\n \"wrclk\",\n \"clobber_x\",\n \"latffclk\",\n \"clamp_rd\"\n ],\n \"Q_8\": [],\n \"Q_132\": [],\n \"Q_51\": [],\n \"Q_16\": [],\n \"Q_42\": [],\n \"Q_27\": [],\n \"Q_38\": []\n },\n \"alignment_score\": 26.07,\n \"unmapped_elements\": [\n \"Q_82\",\n \"Q_15\",\n \"Q_117\",\n \"Q_83\",\n \"Q_115\",\n \"Q_131\",\n \"Q_95\",\n \"outvalid\",\n \"Q_45\",\n \"Q_7\",\n \"Q_125\",\n \"Q_143\",\n \"bits\",\n \"Q_113\",\n \"Q_34\",\n \"Q_54\",\n \"Q_47\",\n \"Q_121\",\n \"memout\",\n \"dout_LAT\"\n ],\n \"mapping_statistics\": {\n \"rtl_signals\": 257,\n \"netlist_wires\": 29338,\n \"netlist_cells\": 0,\n \"mapped_signals\": 67,\n \"unmapped_signals\": 190\n },\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 20706.0,\n \"delay\": 350.12,\n \"power\": 20.359,\n \"gate_count\": 20359,\n \"cell_breakdown\": {\n \"$_ANDNOT_\": 82,\n \"$_AND_\": 6,\n \"$_DLATCH_N_\": 6560,\n \"$_NAND_\": 84,\n \"$_NOR_\": 3,\n \"$_DFF_P_\": 90,\n \"$_DLATCH_P_\": 93,\n \"$_NOT_\": 3,\n \"$_ORNOT_\": 1,\n \"$_OR_\": 165,\n \"$paramod$bc81c79e7d3514e16c66d489c274516224c265df\\\\RAMPDP_160X82_GL_M2_D2_ram\": 2,\n \"RAM_BANK_RAMPDP_160X\n...[1430 chars elided]...\n \"error\": null\n}", "plan_id": "c4e4bd796fc8", "design_id": "5635d475c932", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/nvdla/hw", "commit": "8e06b1b9d85aab65b40d43d08eec5ea4681ff715", "path": "vmod/rams/model/RAMPDP_160X82_GL_M2_D2.v", "sha256": "3d9b945b70f56f4d303b8f7586b87fdec035fde1188c41a2eb6074c4d4c6460e"}} {"question": "For serv_aligner, how well do the RTL signals carry through to the netlist, and given the module's size and control complexity, does it make sense that some internal signals like the misalignment control don't map directly?", "answer": "In serv_aligner, 12 of 15 RTL signals map to the netlist (alignment score 80.0), and the unmapped ones are wire, lower_hw and ctrl_misal. That is consistent with a small module of 58 lines of code, 2 regs, 6 assign statements and a cyclomatic complexity of 7, where internal helper signals like ctrl_misal are likely absorbed into the 450 netlist wires during optimization.", "source_file": "github_repos/olofk_serv/rtl/serv_aligner.v", "module_name": "serv_aligner", "tool_name": "cross_stage_mapper+static_analyzer", "tool_parameters": [{}, {"analysis_type": "full"}], "tool_result": "[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"rst\": [\n \"rst\"\n ],\n \"wire\": [],\n \"o_wb_ibus_adr\": [\n \"o_wb_ibus_adr\"\n ],\n \"clk\": [\n \"clk\"\n ],\n \"i_wb_ibus_ack\": [\n \"i_wb_ibus_ack\"\n ],\n \"ack_en\": [\n \"ack_en\"\n ],\n \"lower_hw\": [],\n \"ctrl_misal\": [],\n \"o_wb_ibus_cyc\": [\n \"o_wb_ibus_cyc\"\n ],\n \"i_wb_ibus_rdt\": [\n \"i_wb_ibus_rdt\"\n ],\n \"ibus_rdt_concat\": [\n \"ibus_rdt_concat\"\n ],\n \"o_ibus_ack\": [\n \"o_ibus_ack\"\n ],\n \"i_ibus_adr\": [\n \"i_ibus_adr\"\n ],\n \"o_ibus_rdt\": [\n \"o_ibus_rdt\"\n ],\n \"i_ibus_cyc\": [\n \"i_ibus_cyc\"\n ]\n },\n \"alignment_score\": 80.0,\n \"unmapped_elements\": [\n \"wire\",\n \"lower_hw\",\n \"ctrl_misal\"\n ],\n \"mapping_statistics\": {\n \"rtl_signals\": 15,\n \"netlist_wires\": 450,\n \"netlist_cells\": 0,\n \"mapped_signals\": 12,\n \"unmapped_signals\": 3\n },\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"serv_aligner\",\n \"port_count\": {\n \"inputs\": 6,\n \"outputs\": 4,\n \"inouts\": 0,\n \"total\": 10\n },\n \"signal_count\": {\n \"wires\": 12,\n \"regs\": 2,\n \"parameters\": 0,\n \"total\": 14\n },\n \"always_blocks\": 2,\n \"assign_statements\": 6,\n \"instantiations\": [],\n \"code_complexity\": {\n \"lines_of_code\": 58,\n \"total_lines\": 74,\n \"cyclomatic_complexity\": 7,\n \"nesting_depth\": 3,\n \"operator_count\": 56\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "category": "multi_tool", "subcategory": "cross_stage_mapper+static_analyzer", "difficulty": "compositional", "question_hash": "7bea4621a416", "stage1_target": "[{\"tool\": \"cross_stage_mapper\", \"parameters\": {}}, {\"tool\": \"static_analyzer\", \"parameters\": {\"analysis_type\": \"full\"}}]", "stage2_context": "Question: For serv_aligner, how well do the RTL signals carry through to the netlist, and given the module's size and control complexity, does it make sense that some internal signals like the misalignment control don't map directly?\n\n[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"rst\": [\n \"rst\"\n ],\n \"wire\": [],\n \"o_wb_ibus_adr\": [\n \"o_wb_ibus_adr\"\n ],\n \"clk\": [\n \"clk\"\n ],\n \"i_wb_ibus_ack\": [\n \"i_wb_ibus_ack\"\n ],\n \"ack_en\": [\n \"ack_en\"\n ],\n \"lower_hw\": [],\n \"ctrl_misal\": [],\n \"o_wb_ibus_cyc\": [\n \"o_wb_ibus_cyc\"\n ],\n \"i_wb_ibus_rdt\": [\n \"i_wb_ibus_rdt\"\n ],\n \"ibus_rdt_concat\": [\n \"ibus_rdt_concat\"\n ],\n \"o_ibus_ack\": [\n \"o_ibus_ack\"\n ],\n \"i_ibus_adr\": [\n \"i_ibus_adr\"\n ],\n \"o_ibus_rdt\": [\n \"o_ibus_rdt\"\n ],\n \"i_ibus_cyc\": [\n \"i_ibus_cyc\"\n ]\n },\n \"alignment_score\": 80.0,\n \"unmapped_elements\": [\n \"wire\",\n \"lower_hw\",\n \"ctrl_misal\"\n ],\n \"mapping_statistics\": {\n \"rtl_signals\": 15,\n \"netlist_wires\": 450,\n \"netlist_cells\": 0,\n \"mapped_signals\": 12,\n \"unmapped_signals\": 3\n },\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"serv_aligner\",\n \"port_count\": {\n \"inputs\": 6,\n \"outputs\": 4,\n \"inouts\": 0,\n \"total\": 10\n },\n \"signal_count\": {\n \"wires\": 12,\n \"regs\": 2,\n \"parameters\": 0,\n \"total\": 14\n },\n \"always_blocks\": 2,\n \"assign_statements\": 6,\n \"instantiations\": [],\n \"code_complexity\": {\n \"lines_of_code\": 58,\n \"total_lines\": 74,\n \"cyclomatic_complexity\": 7,\n \"nesting_depth\": 3,\n \"operator_count\": 56\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "plan_id": "38a81ad222e1", "design_id": "56bb49a34d1c", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/olofk/serv", "commit": "f200eb2ed7b69ac1c6b8eddd47654522aeee5ce8", "path": "rtl/serv_aligner.v", "sha256": "adeff8f442db6c93f48e551721146b40c398ab14dcb5b22339746329e7a24f3b"}} {"question": "For serv_aligner, synthesis at medium optimization gives an area of 319.0 and 212 cells. If I follow the area-targeted optimization recommendations, what area and delay changes should I expect, and given that NAND cells dominate the cell mix, is there a trade-off I should watch for?", "answer": "At medium optimization, serv_aligner synthesizes to an area of 319.0 with a delay of 299.03 across 212 cells, 73 of which are $_NAND_. The area-targeted recommendations, such as \"share -aggressive\" and \"muxcover; opt\", estimate an area change of -15.0 and a delay change of 5.0. The trade-off is that area optimization may increase delay on top of that 299.03 critical path, and aggressive sharing increases routing complexity.", "source_file": "github_repos/olofk_serv/rtl/serv_aligner.v", "module_name": "serv_aligner", "tool_name": "optimization_advisor+synthesis_tool", "tool_parameters": [{"target_metric": "area"}, {"optimization_level": "medium"}], "tool_result": "[optimization_advisor {\"target_metric\": \"area\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"area\",\n \"recommended_recipes\": [\n \"synth -top serv_aligner -flatten\",\n \"opt -full; share -aggressive; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean -purge\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"mux_optimization\",\n \"description\": \"Share multiplexers where possible\",\n \"command\": \"muxcover; opt\"\n },\n {\n \"type\": \"resource_sharing\",\n \"description\": \"Share arithmetic operators\",\n \"command\": \"share -aggressive\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": -15.0,\n \"delay\": 5.0,\n \"power\": -10.0\n },\n \"trade_offs\": [\n \"Area optimization may increase delay\",\n \"Aggressive sharing increases routing complexity\"\n ],\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 319.0,\n \"delay\": 299.03,\n \"power\": 0.212,\n \"gate_count\": 212,\n \"cell_breakdown\": {\n \"$_ANDNOT_\": 2,\n \"$_AND_\": 55,\n \"$_DFFE_PP_\": 16,\n \"$_NAND_\": 73,\n \"$_NOR_\": 2,\n \"$_NOT_\": 1,\n \"$_ORNOT_\": 33,\n \"$_OR_\": 3,\n \"$_SDFFE_PP0P_\": 1,\n \"$_XNOR_\": 9,\n \"$_XOR_\": 17\n },\n \"wire_count\": 145,\n \"wire_bits\": 315,\n \"critical_path_estimate\": 299.03,\n...[1316 chars elided]...\n \"error\": null\n}", "category": "multi_tool", "subcategory": "optimization_advisor+synthesis_tool", "difficulty": "compositional", "question_hash": "e27741e849e0", "stage1_target": "[{\"tool\": \"optimization_advisor\", \"parameters\": {\"target_metric\": \"area\"}}, {\"tool\": \"synthesis_tool\", \"parameters\": {\"optimization_level\": \"medium\"}}]", "stage2_context": "Question: For serv_aligner, synthesis at medium optimization gives an area of 319.0 and 212 cells. If I follow the area-targeted optimization recommendations, what area and delay changes should I expect, and given that NAND cells dominate the cell mix, is there a trade-off I should watch for?\n\n[optimization_advisor {\"target_metric\": \"area\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"area\",\n \"recommended_recipes\": [\n \"synth -top serv_aligner -flatten\",\n \"opt -full; share -aggressive; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean -purge\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"mux_optimization\",\n \"description\": \"Share multiplexers where possible\",\n \"command\": \"muxcover; opt\"\n },\n {\n \"type\": \"resource_sharing\",\n \"description\": \"Share arithmetic operators\",\n \"command\": \"share -aggressive\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": -15.0,\n \"delay\": 5.0,\n \"power\": -10.0\n },\n \"trade_offs\": [\n \"Area optimization may increase delay\",\n \"Aggressive sharing increases routing complexity\"\n ],\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 319.0,\n \"delay\": 299.03,\n \"power\": 0.212,\n \"gate_count\": 212,\n \"cell_breakdown\": {\n \"$_ANDNOT_\": 2,\n \"$_AND_\": 55,\n \"$_DFFE_PP_\": 16,\n \"$_NAND_\": 73,\n \"$_NOR_\": 2,\n \"$_NOT_\": 1,\n \"$_ORNOT_\": 33,\n \"$_OR_\": 3,\n \"$_SDFFE_PP0P_\": 1,\n \"$_XNOR_\": 9,\n \"$_XOR_\": 17\n },\n \"wire_count\": 145,\n \"wire_bits\": 315,\n \"critical_path_estimate\": 299.03,\n...[1316 chars elided]...\n \"error\": null\n}", "plan_id": "c701b1f19061", "design_id": "56bb49a34d1c", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/olofk/serv", "commit": "f200eb2ed7b69ac1c6b8eddd47654522aeee5ce8", "path": "rtl/serv_aligner.v", "sha256": "adeff8f442db6c93f48e551721146b40c398ab14dcb5b22339746329e7a24f3b"}} {"question": "In the CDFG of NV_NVDLA_CVIF_CSB_reg, how many async-reset enable register cells are there, and how do they turn into flip-flops after medium-effort synthesis? Please split the flip-flops by reset polarity and give the resulting area and delay.", "answer": "The CDFG of NV_NVDLA_CVIF_CSB_reg has 22 $adffe register cells. These are multi-bit cells, and synthesis splits them into 140 $_DFFE_PN0P_ flops that reset to 0 and 36 $_DFFE_PN1P_ flops that reset to 1. The synthesized netlist has 630 cells in total, with an area of 643.0 and a critical-path delay of 333.57.", "source_file": "github_repos/nvdla_hw/vmod/nvdla/nocif/NV_NVDLA_CVIF_CSB_reg.v", "module_name": "NV_NVDLA_CVIF_CSB_reg", "tool_name": "graph_extractor+synthesis_tool", "tool_parameters": [{"graph_type": "CDFG"}, {"optimization_level": "medium"}], "tool_result": "[graph_extractor {\"graph_type\": \"CDFG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"CDFG\",\n...[42103 chars elided]...\n \"node_count\": 66,\n \"edge_count\": 927,\n \"graph_properties\": {\n \"node_types\": {\n \"$and\": 6,\n \"$logic_not\": 2,\n \"$adffe\": 22,\n \"$pmux\": 1,\n \"$eq\": 6,\n \"port_output\": 23,\n \"port_input\": 6\n },\n \"avg_degree\": 14.05,\n \"module_name\": \"NV_NVDLA_CVIF_CSB_reg\"\n },\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 643.0,\n \"delay\": 333.57,\n \"power\": 0.63,\n \"gate_count\": 630,\n \"cell_breakdown\": {\n \"$_ANDNOT_\": 26,\n \"$_AND_\": 208,\n \"$_DFFE_PN0P_\": 140,\n \"$_DFFE_PN1P_\": 36,\n \"$_NAND_\": 72,\n \"$_NOR_\": 65,\n \"$_OR_\": 83\n },\n \"wire_count\": 460,\n \"wire_bits\": 946,\n \"critical_path_estimate\": 333.57,\n...[1231 chars elided]...\n \"error\": null\n}", "category": "multi_tool", "subcategory": "graph_extractor+synthesis_tool", "difficulty": "compositional", "question_hash": "f76abd2f93bc", "stage1_target": "[{\"tool\": \"graph_extractor\", \"parameters\": {\"graph_type\": \"CDFG\"}}, {\"tool\": \"synthesis_tool\", \"parameters\": {\"optimization_level\": \"medium\"}}]", "stage2_context": "Question: In the CDFG of NV_NVDLA_CVIF_CSB_reg, how many async-reset enable register cells are there, and how do they turn into flip-flops after medium-effort synthesis? Please split the flip-flops by reset polarity and give the resulting area and delay.\n\n[graph_extractor {\"graph_type\": \"CDFG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"CDFG\",\n...[42103 chars elided]...\n \"node_count\": 66,\n \"edge_count\": 927,\n \"graph_properties\": {\n \"node_types\": {\n \"$and\": 6,\n \"$logic_not\": 2,\n \"$adffe\": 22,\n \"$pmux\": 1,\n \"$eq\": 6,\n \"port_output\": 23,\n \"port_input\": 6\n },\n \"avg_degree\": 14.05,\n \"module_name\": \"NV_NVDLA_CVIF_CSB_reg\"\n },\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 643.0,\n \"delay\": 333.57,\n \"power\": 0.63,\n \"gate_count\": 630,\n \"cell_breakdown\": {\n \"$_ANDNOT_\": 26,\n \"$_AND_\": 208,\n \"$_DFFE_PN0P_\": 140,\n \"$_DFFE_PN1P_\": 36,\n \"$_NAND_\": 72,\n \"$_NOR_\": 65,\n \"$_OR_\": 83\n },\n \"wire_count\": 460,\n \"wire_bits\": 946,\n \"critical_path_estimate\": 333.57,\n...[1231 chars elided]...\n \"error\": null\n}", "plan_id": "dbfa695d20d6", "design_id": "581ac332327d", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/nvdla/hw", "commit": "8e06b1b9d85aab65b40d43d08eec5ea4681ff715", "path": "vmod/nvdla/nocif/NV_NVDLA_CVIF_CSB_reg.v", "sha256": "b00e35bf52465e8f3082e99decdb087f664cd7d78aaca7ed3f437361b299fe5a"}} {"question": "For nv_ram_rws_64x10, the source instantiates the RAMDP_64X10_GL_M2_E2 macro alongside AN2D4PO4 and NV_BLKBOX cells. How does the source structure (port count, cyclomatic complexity, list of instantiated cells) compare with the post-synthesis cell breakdown at medium optimization, and what do the reported area and delay suggest about how much of the design was actually synthesized?", "answer": "The nv_ram_rws_64x10 source has 18 ports, a cyclomatic complexity of 16, and instantiates RAMDP_64X10_GL_M2_E2, but medium-effort synthesis reports only 73 cells: 29 AN2D4PO4, 29 NV_BLKBOX_SRC0_X, 11 NV_BLKBOX_SINK, 3 NV_BLKBOX_SRC0 and 1 nv_ram_rws_64x10_logic, with no memory macro in the breakdown. So the RAM core stays a black box, and the area of 73.0 and delay of 181.12 cover only the wrapper's gating and black-box glue logic, not the 64x10 storage.", "source_file": "github_repos/nvdla_hw/vmod/rams/synth/nv_ram_rws_64x10.v", "module_name": "nv_ram_rws_64x10", "tool_name": "static_analyzer+synthesis_tool", "tool_parameters": [{"analysis_type": "full"}, {"optimization_level": "medium"}], "tool_result": "[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"nv_ram_rws_64x10\",\n \"port_count\": {\n \"inputs\": 16,\n \"outputs\": 2,\n \"inouts\": 0,\n \"total\": 18\n },\n \"signal_count\": {\n \"wires\": 115,\n \"regs\": 7,\n \"parameters\": 1,\n \"total\": 122\n },\n \"always_blocks\": 0,\n \"assign_statements\": 0,\n \"instantiations\": [\n \"NV_BLKBOX_SRC0_X\",\n \"RAMDP_64X10_GL_M2_E2\",\n \"RANDFUNC\",\n \"AN2D4PO4\",\n \"NV_BLKBOX_SINK\",\n \"NV_BLKBOX_SRC0\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 403,\n \"total_lines\": 494,\n \"cyclomatic_complexity\": 16,\n \"nesting_depth\": 18,\n \"operator_count\": 404\n },\n \"lint_warnings\": [],\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 73.0,\n \"delay\": 181.12,\n \"power\": 0.073,\n \"gate_count\": 73,\n \"cell_breakdown\": {\n \"AN2D4PO4\": 29,\n \"NV_BLKBOX_SINK\": 11,\n \"NV_BLKBOX_SRC0\": 3,\n \"NV_BLKBOX_SRC0_X\": 29,\n \"nv_ram_rws_64x10_logic\": 1\n },\n \"wire_count\": 59,\n \"wire_bits\": 139,\n \"critical_path_estimate\": 181.12,\n...[1207 chars elided]...\n \"error\": null\n}", "category": "multi_tool", "subcategory": "static_analyzer+synthesis_tool", "difficulty": "compositional", "question_hash": "5c681a693707", "stage1_target": "[{\"tool\": \"static_analyzer\", \"parameters\": {\"analysis_type\": \"full\"}}, {\"tool\": \"synthesis_tool\", \"parameters\": {\"optimization_level\": \"medium\"}}]", "stage2_context": "Question: For nv_ram_rws_64x10, the source instantiates the RAMDP_64X10_GL_M2_E2 macro alongside AN2D4PO4 and NV_BLKBOX cells. How does the source structure (port count, cyclomatic complexity, list of instantiated cells) compare with the post-synthesis cell breakdown at medium optimization, and what do the reported area and delay suggest about how much of the design was actually synthesized?\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"nv_ram_rws_64x10\",\n \"port_count\": {\n \"inputs\": 16,\n \"outputs\": 2,\n \"inouts\": 0,\n \"total\": 18\n },\n \"signal_count\": {\n \"wires\": 115,\n \"regs\": 7,\n \"parameters\": 1,\n \"total\": 122\n },\n \"always_blocks\": 0,\n \"assign_statements\": 0,\n \"instantiations\": [\n \"NV_BLKBOX_SRC0_X\",\n \"RAMDP_64X10_GL_M2_E2\",\n \"RANDFUNC\",\n \"AN2D4PO4\",\n \"NV_BLKBOX_SINK\",\n \"NV_BLKBOX_SRC0\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 403,\n \"total_lines\": 494,\n \"cyclomatic_complexity\": 16,\n \"nesting_depth\": 18,\n \"operator_count\": 404\n },\n \"lint_warnings\": [],\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 73.0,\n \"delay\": 181.12,\n \"power\": 0.073,\n \"gate_count\": 73,\n \"cell_breakdown\": {\n \"AN2D4PO4\": 29,\n \"NV_BLKBOX_SINK\": 11,\n \"NV_BLKBOX_SRC0\": 3,\n \"NV_BLKBOX_SRC0_X\": 29,\n \"nv_ram_rws_64x10_logic\": 1\n },\n \"wire_count\": 59,\n \"wire_bits\": 139,\n \"critical_path_estimate\": 181.12,\n...[1207 chars elided]...\n \"error\": null\n}", "plan_id": "5a5e1096fef2", "design_id": "597a877755d1", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/nvdla/hw", "commit": "8e06b1b9d85aab65b40d43d08eec5ea4681ff715", "path": "vmod/rams/synth/nv_ram_rws_64x10.v", "sha256": "e37b56893141457f59211e810768ecea15b6f4a0bb7f037590ac53f7195773cb"}} {"question": "In scan_architect, the RTL signal output1 maps to five netlist wires and output2 maps to two, but the alignment score is still reported as perfect. Does the CDFG's flip-flop composition fit a design with no extra combinational logic, given these duplicated mappings? Also, how many flops of each sky130 cell type does it contain, and how many ports?", "answer": "The RTL-to-netlist mapping for scan_architect has an alignment score of 100.0, 24 of 24 signals mapped and 0 netlist cells, even though output1 maps to five wires (output1, output11, output10, output15, output12) and output2 maps to two (output2, output20). The CDFG has 44 nodes and 80 edges: 10 sky130_fd_sc_hd__dfbbn_1 falling-edge flops, 10 sky130_fd_sc_hd__dfstp_1 rising-edge flops, 4 input ports and 20 output ports. This fits a design that only registers values on both clock1 and clock2 edges with set_b, with no extra combinational logic, so the duplicated mappings most likely come from outputs sharing names rather than from logic being merged.", "source_file": "github_repos/The-OpenROAD-Project_OpenROAD/src/dft/test/scan_architect_sky130.v", "module_name": "scan_architect", "tool_name": "cross_stage_mapper+graph_extractor", "tool_parameters": [{}, {"graph_type": "CDFG"}], "tool_result": "[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"output9\": [\n \"output9\"\n ],\n \"output20\": [\n \"output20\"\n ],\n \"output6\": [\n \"output6\"\n ],\n \"output16\": [\n \"output16\"\n ],\n \"output5\": [\n \"output5\"\n ],\n \"output18\": [\n \"output18\"\n ],\n \"output1\": [\n \"output1\",\n \"output11\",\n \"output10\",\n \"output15\",\n \"output12\"\n ],\n \"port1\": [\n \"p\n...[36 chars elided]...\n\"output7\"\n ],\n \"output11\": [\n \"output11\"\n ],\n \"output4\": [\n \"output4\"\n ],\n \"output3\": [\n \"output3\"\n ],\n \"output10\": [\n \"output10\"\n ],\n \"output13\": [\n \"output13\"\n ],\n \"output19\": [\n \"output19\"\n ],\n \"output15\": [\n \"output15\"\n ],\n \"clock1\": [\n \"clock1\"\n ],\n \"output12\": [\n \"output12\"\n ],\n \"output2\": [\n \"output2\",\n \"output20\"\n ],\n \"output17\": [\n \"output17\"\n ],\n \"set_b\": [\n \"set_b\"\n ],\n \"clock2\": [\n \"clock2\"\n ],\n \"output14\": [\n \"output14\"\n ],\n \"output8\": [\n \"output8\"\n ]\n },\n \"alignment_score\": 100.0,\n \"unmapped_elements\": [],\n \"mapping_statistics\": {\n \"rtl_signals\": 24,\n \"netlist_wires\": 24,\n \"netlist_cells\": 0,\n \"mapped_signals\": 24,\n \"unmapped_signals\": 0\n },\n \"error\": null\n}\n\n[graph_extractor {\"graph_type\": \"CDFG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"CDFG\",\n...[13723 chars elided]...\n \"node_count\": 44,\n \"edge_count\": 80,\n \"graph_properties\": {\n \"node_types\": {\n \"sky130_fd_sc_hd__dfbbn_1\": 10,\n \"sky130_fd_sc_hd__dfstp_1\": 10,\n \"port_input\": 4,\n \"port_output\": 20\n },\n \"avg_degree\": 1.82,\n \"module_name\": \"scan_architect\"\n },\n \"error\": null\n}", "category": "multi_tool", "subcategory": "cross_stage_mapper+graph_extractor", "difficulty": "compositional", "question_hash": "09ba4a36e54b", "stage1_target": "[{\"tool\": \"cross_stage_mapper\", \"parameters\": {}}, {\"tool\": \"graph_extractor\", \"parameters\": {\"graph_type\": \"CDFG\"}}]", "stage2_context": "Question: In scan_architect, the RTL signal output1 maps to five netlist wires and output2 maps to two, but the alignment score is still reported as perfect. Does the CDFG's flip-flop composition fit a design with no extra combinational logic, given these duplicated mappings? Also, how many flops of each sky130 cell type does it contain, and how many ports?\n\n[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"output9\": [\n \"output9\"\n ],\n \"output20\": [\n \"output20\"\n ],\n \"output6\": [\n \"output6\"\n ],\n \"output16\": [\n \"output16\"\n ],\n \"output5\": [\n \"output5\"\n ],\n \"output18\": [\n \"output18\"\n ],\n \"output1\": [\n \"output1\",\n \"output11\",\n \"output10\",\n \"output15\",\n \"output12\"\n ],\n \"port1\": [\n \"p\n...[36 chars elided]...\n\"output7\"\n ],\n \"output11\": [\n \"output11\"\n ],\n \"output4\": [\n \"output4\"\n ],\n \"output3\": [\n \"output3\"\n ],\n \"output10\": [\n \"output10\"\n ],\n \"output13\": [\n \"output13\"\n ],\n \"output19\": [\n \"output19\"\n ],\n \"output15\": [\n \"output15\"\n ],\n \"clock1\": [\n \"clock1\"\n ],\n \"output12\": [\n \"output12\"\n ],\n \"output2\": [\n \"output2\",\n \"output20\"\n ],\n \"output17\": [\n \"output17\"\n ],\n \"set_b\": [\n \"set_b\"\n ],\n \"clock2\": [\n \"clock2\"\n ],\n \"output14\": [\n \"output14\"\n ],\n \"output8\": [\n \"output8\"\n ]\n },\n \"alignment_score\": 100.0,\n \"unmapped_elements\": [],\n \"mapping_statistics\": {\n \"rtl_signals\": 24,\n \"netlist_wires\": 24,\n \"netlist_cells\": 0,\n \"mapped_signals\": 24,\n \"unmapped_signals\": 0\n },\n \"error\": null\n}\n\n[graph_extractor {\"graph_type\": \"CDFG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"CDFG\",\n...[13723 chars elided]...\n \"node_count\": 44,\n \"edge_count\": 80,\n \"graph_properties\": {\n \"node_types\": {\n \"sky130_fd_sc_hd__dfbbn_1\": 10,\n \"sky130_fd_sc_hd__dfstp_1\": 10,\n \"port_input\": 4,\n \"port_output\": 20\n },\n \"avg_degree\": 1.82,\n \"module_name\": \"scan_architect\"\n },\n \"error\": null\n}", "plan_id": "4c6831f474d6", "design_id": "59312613abde", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/The-OpenROAD-Project/OpenROAD", "commit": "3e3e483a4e3f98e2b5470b272040699de6dedbee", "path": "src/dft/test/scan_architect_sky130.v", "sha256": "8f974a55a662a87bf8035e37d62543a9abe824616b8bc25263a7e8ac1200ec88"}} {"question": "For module top, given that the RTL-to-netlist mapping shows how many netlist cells exist and how well signals align, is it worthwhile to apply the recommended area-targeted optimization flow with aggressive resource sharing, and what improvement does that flow claim?", "answer": "Module top maps all 4 RTL signals to 4 netlist wires with an alignment score of 100.0 but contains 0 netlist cells, so there are no arithmetic operators for \"share -aggressive\" to merge. The area flow's estimated improvement of -15.0 area (with a 5.0 delay penalty) is therefore unlikely to show up in this design.", "source_file": "github_repos/The-OpenROAD-Project_OpenROAD/src/cut/test/empty_cut_set.v", "module_name": "top", "tool_name": "cross_stage_mapper+optimization_advisor", "tool_parameters": [{}, {"target_metric": "area"}], "tool_result": "[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"_unconnected_\": [\n \"_unconnected_\"\n ],\n \"b\": [\n \"b\"\n ],\n \"clk\": [\n \"clk\"\n ],\n \"a\": [\n \"a\"\n ]\n },\n \"alignment_score\": 100.0,\n \"unmapped_elements\": [],\n \"mapping_statistics\": {\n \"rtl_signals\": 4,\n \"netlist_wires\": 4,\n \"netlist_cells\": 0,\n \"mapped_signals\": 4,\n \"unmapped_signals\": 0\n },\n \"error\": null\n}\n\n[optimization_advisor {\"target_metric\": \"area\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"area\",\n \"recommended_recipes\": [\n \"synth -top top -flatten\",\n \"opt -full; share -aggressive; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean -purge\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"resource_sharing\",\n \"description\": \"Share arithmetic operators\",\n \"command\": \"share -aggressive\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": -15.0,\n \"delay\": 5.0,\n \"power\": -10.0\n },\n \"trade_offs\": [\n \"Area optimization may increase delay\",\n \"Aggressive sharing increases routing complexity\"\n ],\n \"error\": null\n}", "category": "multi_tool", "subcategory": "cross_stage_mapper+optimization_advisor", "difficulty": "compositional", "question_hash": "c53c1ec62f7a", "stage1_target": "[{\"tool\": \"cross_stage_mapper\", \"parameters\": {}}, {\"tool\": \"optimization_advisor\", \"parameters\": {\"target_metric\": \"area\"}}]", "stage2_context": "Question: For module top, given that the RTL-to-netlist mapping shows how many netlist cells exist and how well signals align, is it worthwhile to apply the recommended area-targeted optimization flow with aggressive resource sharing, and what improvement does that flow claim?\n\n[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"_unconnected_\": [\n \"_unconnected_\"\n ],\n \"b\": [\n \"b\"\n ],\n \"clk\": [\n \"clk\"\n ],\n \"a\": [\n \"a\"\n ]\n },\n \"alignment_score\": 100.0,\n \"unmapped_elements\": [],\n \"mapping_statistics\": {\n \"rtl_signals\": 4,\n \"netlist_wires\": 4,\n \"netlist_cells\": 0,\n \"mapped_signals\": 4,\n \"unmapped_signals\": 0\n },\n \"error\": null\n}\n\n[optimization_advisor {\"target_metric\": \"area\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"area\",\n \"recommended_recipes\": [\n \"synth -top top -flatten\",\n \"opt -full; share -aggressive; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean -purge\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"resource_sharing\",\n \"description\": \"Share arithmetic operators\",\n \"command\": \"share -aggressive\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": -15.0,\n \"delay\": 5.0,\n \"power\": -10.0\n },\n \"trade_offs\": [\n \"Area optimization may increase delay\",\n \"Aggressive sharing increases routing complexity\"\n ],\n \"error\": null\n}", "plan_id": "04da32cce4e4", "design_id": "5adb2aa0fbf1", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/The-OpenROAD-Project/OpenROAD", "commit": "3e3e483a4e3f98e2b5470b272040699de6dedbee", "path": "src/cut/test/empty_cut_set.v", "sha256": "363acdaa1e2d5ca66c9ec1507ca4af4a433c1bbcc0c85afb49d0a33121119f4a"}} {"question": "In servant_cmod_a7_clock_gen, the RTL signals o_rst and locked_r don't map to any netlist wire, yet the synthesized design still has registers. How does the RTL-to-netlist alignment score compare with the synthesized cell mix, and what does that suggest about where the reset-synchronizer logic ended up?", "answer": "In servant_cmod_a7_clock_gen, only 5 of 9 RTL signals map to the netlist (alignment score 55.56), and o_rst and locked_r are among the unmapped ones. Synthesis still produced 4 cells: 2 $_DFF_P_, 1 $_NOT_ and 1 MMCME2_BASE. This suggests the locked_r/o_rst reset registers survived as the two flip-flops plus an inverter, but under renamed internal nets, so they weren't matched by name.", "source_file": "github_repos/olofk_serv/servant/servant_cmod_a7_clock_gen.v", "module_name": "servant_cmod_a7_clock_gen", "tool_name": "cross_stage_mapper+synthesis_tool", "tool_parameters": [{}, {"optimization_level": "medium"}], "tool_result": "[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"locked\": [\n \"locked\"\n ],\n \"wire\": [],\n \"reg\": [],\n \"i_rst\": [\n \"i_rst\"\n ],\n \"o_rst\": [],\n \"i_clk\": [\n \"i_clk\"\n ],\n \"locked_r\": [],\n \"clkfb\": [\n \"clkfb\"\n ],\n \"o_clk\": [\n \"o_clk\"\n ]\n },\n \"alignment_score\": 55.56,\n \"unmapped_elements\": [\n \"wire\",\n \"reg\",\n \"o_rst\",\n \"locked_r\"\n ],\n \"mapping_statistics\": {\n \"rtl_signals\": 9,\n \"netlist_wires\": 8,\n \"netlist_cells\": 0,\n \"mapped_signals\": 5,\n \"unmapped_signals\": 4\n },\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 9.5,\n \"delay\": 140.2,\n \"power\": 0.004,\n \"gate_count\": 4,\n \"cell_breakdown\": {\n \"$_DFF_P_\": 2,\n \"$_NOT_\": 1,\n \"MMCME2_BASE\": 1\n },\n \"wire_count\": 8,\n \"wire_bits\": 8,\n \"critical_path_estimate\": 140.2,\n...[1121 chars elided]...\n \"error\": null\n}", "category": "multi_tool", "subcategory": "cross_stage_mapper+synthesis_tool", "difficulty": "compositional", "question_hash": "710acce1927a", "stage1_target": "[{\"tool\": \"cross_stage_mapper\", \"parameters\": {}}, {\"tool\": \"synthesis_tool\", \"parameters\": {\"optimization_level\": \"medium\"}}]", "stage2_context": "Question: In servant_cmod_a7_clock_gen, the RTL signals o_rst and locked_r don't map to any netlist wire, yet the synthesized design still has registers. How does the RTL-to-netlist alignment score compare with the synthesized cell mix, and what does that suggest about where the reset-synchronizer logic ended up?\n\n[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"locked\": [\n \"locked\"\n ],\n \"wire\": [],\n \"reg\": [],\n \"i_rst\": [\n \"i_rst\"\n ],\n \"o_rst\": [],\n \"i_clk\": [\n \"i_clk\"\n ],\n \"locked_r\": [],\n \"clkfb\": [\n \"clkfb\"\n ],\n \"o_clk\": [\n \"o_clk\"\n ]\n },\n \"alignment_score\": 55.56,\n \"unmapped_elements\": [\n \"wire\",\n \"reg\",\n \"o_rst\",\n \"locked_r\"\n ],\n \"mapping_statistics\": {\n \"rtl_signals\": 9,\n \"netlist_wires\": 8,\n \"netlist_cells\": 0,\n \"mapped_signals\": 5,\n \"unmapped_signals\": 4\n },\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 9.5,\n \"delay\": 140.2,\n \"power\": 0.004,\n \"gate_count\": 4,\n \"cell_breakdown\": {\n \"$_DFF_P_\": 2,\n \"$_NOT_\": 1,\n \"MMCME2_BASE\": 1\n },\n \"wire_count\": 8,\n \"wire_bits\": 8,\n \"critical_path_estimate\": 140.2,\n...[1121 chars elided]...\n \"error\": null\n}", "plan_id": "e6e61c719cc2", "design_id": "5c1a93e7c9ee", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/olofk/serv", "commit": "f200eb2ed7b69ac1c6b8eddd47654522aeee5ce8", "path": "servant/servant_cmod_a7_clock_gen.v", "sha256": "d85802a08b6d0f8f6223c81268b9f9d220707f781347dc0206ce653f13ab5c49"}} {"question": "Looking at the AIG of sirv_AsyncResetRegVec_129, how many register instances show up as nodes, and does that match the static code structure? In particular, is it consistent that the module has no always blocks or reg declarations but has many assign statements and wires?", "answer": "The AIG of sirv_AsyncResetRegVec_129 has 25 nodes, 20 of them sirv_AsyncResetReg instances, connected by 100 edges with an average degree of 4.0. This matches the static analysis, which finds 0 always blocks and 0 regs but 120 assign statements, 139 wires and only sirv_AsyncResetReg as the instantiated module, so all storage is in the instantiated sirv_AsyncResetReg cells and the assigns only connect them.", "source_file": "github_repos/riscv-mcu_e203_hbirdv2/rtl/e203/perips/sirv_AsyncResetRegVec_129.v", "module_name": "sirv_AsyncResetRegVec_129", "tool_name": "graph_extractor+static_analyzer", "tool_parameters": [{"graph_type": "AIG"}, {"analysis_type": "full"}], "tool_result": "[graph_extractor {\"graph_type\": \"AIG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"AIG\",\n...[12660 chars elided]...\n \"node_count\": 25,\n \"edge_count\": 100,\n \"graph_properties\": {\n \"node_types\": {\n \"sirv_AsyncResetReg\": 20,\n \"port_input\": 4,\n \"port_output\": 1\n },\n \"avg_degree\": 4.0,\n \"module_name\": \"sirv_AsyncResetRegVec_129\"\n },\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"sirv_AsyncResetRegVec_129\",\n \"port_count\": {\n \"inputs\": 4,\n \"outputs\": 1,\n \"inouts\": 0,\n \"total\": 5\n },\n \"signal_count\": {\n \"wires\": 139,\n \"regs\": 0,\n \"parameters\": 0,\n \"total\": 139\n },\n \"always_blocks\": 0,\n \"assign_statements\": 120,\n \"instantiations\": [\n \"sirv_AsyncResetReg\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 419,\n \"total_lines\": 427,\n \"cyclomatic_complexity\": 2,\n \"nesting_depth\": 0,\n \"operator_count\": 130\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "category": "multi_tool", "subcategory": "graph_extractor+static_analyzer", "difficulty": "compositional", "question_hash": "e0d96210b5a7", "stage1_target": "[{\"tool\": \"graph_extractor\", \"parameters\": {\"graph_type\": \"AIG\"}}, {\"tool\": \"static_analyzer\", \"parameters\": {\"analysis_type\": \"full\"}}]", "stage2_context": "Question: Looking at the AIG of sirv_AsyncResetRegVec_129, how many register instances show up as nodes, and does that match the static code structure? In particular, is it consistent that the module has no always blocks or reg declarations but has many assign statements and wires?\n\n[graph_extractor {\"graph_type\": \"AIG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"AIG\",\n...[12660 chars elided]...\n \"node_count\": 25,\n \"edge_count\": 100,\n \"graph_properties\": {\n \"node_types\": {\n \"sirv_AsyncResetReg\": 20,\n \"port_input\": 4,\n \"port_output\": 1\n },\n \"avg_degree\": 4.0,\n \"module_name\": \"sirv_AsyncResetRegVec_129\"\n },\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"sirv_AsyncResetRegVec_129\",\n \"port_count\": {\n \"inputs\": 4,\n \"outputs\": 1,\n \"inouts\": 0,\n \"total\": 5\n },\n \"signal_count\": {\n \"wires\": 139,\n \"regs\": 0,\n \"parameters\": 0,\n \"total\": 139\n },\n \"always_blocks\": 0,\n \"assign_statements\": 120,\n \"instantiations\": [\n \"sirv_AsyncResetReg\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 419,\n \"total_lines\": 427,\n \"cyclomatic_complexity\": 2,\n \"nesting_depth\": 0,\n \"operator_count\": 130\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "plan_id": "de65b7366262", "design_id": "5ca32bed9660", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/riscv-mcu/e203_hbirdv2", "commit": "9f3e34f337f5d0a1236a285871ffa2032491617a", "path": "rtl/e203/perips/sirv_AsyncResetRegVec_129.v", "sha256": "59f7b19022abe58b21db8f5b9880bacc71c14c4d7f0320c37fb91605c93b4e64"}} {"question": "For sirv_AsyncResetRegVec_129, how well do the RTL signals line up with the netlist, and if I tune the design for low power, what improvements and trade-offs should I expect?", "answer": "sirv_AsyncResetRegVec_129 lines up perfectly between RTL and netlist: the alignment score is 100.0, and all 144 RTL signals map to the 144 netlist wires with 0 unmapped signals. The power-targeted plan uses clock gating (the 'opt_clean; clockgate' step) and estimates a power change of -25.0 along with area and delay changes of 5.0 each, since power optimization can add area overhead and clock gating adds timing complexity.", "source_file": "github_repos/riscv-mcu_e203_hbirdv2/rtl/e203/perips/sirv_AsyncResetRegVec_129.v", "module_name": "sirv_AsyncResetRegVec_129", "tool_name": "cross_stage_mapper+optimization_advisor", "tool_parameters": [{}, {"target_metric": "power"}], "tool_result": "[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"reg_8_q\": [\n \"reg_8_q\"\n ],\n \"reg_13_clk\": [\n \"reg_13_clk\"\n ],\n \"reg_11_d\": [\n \"reg_11_d\"\n ],\n \"reg_12_clk\": [\n \"reg_12_clk\"\n ],\n \"reg_19_clk\": [\n \"reg_19_clk\"\n ],\n \"reg_19_en\": [\n \"reg_19_en\"\n ],\n \"T_45\": [\n \"T_45\"\n ],\n \"reg_15_rst\": [\n \"reg_15_rst\"\n ],\n \"reg_1_q\": [\n \"reg_1_q\"\n \n...[4777 chars elided]...\n9\": [\n \"T_19\"\n ],\n \"reg_7_en\": [\n \"reg_7_en\"\n ],\n \"reg_7_rst\": [\n \"reg_7_rst\"\n ],\n \"reg_11_clk\": [\n \"reg_11_clk\"\n ],\n \"reg_9_clk\": [\n \"reg_9_clk\"\n ],\n \"reg_10_clk\": [\n \"reg_10_clk\"\n ],\n \"reg_5_q\": [\n \"reg_5_q\"\n ],\n \"io_q\": [\n \"io_q\"\n ],\n \"reg_1_d\": [\n \"reg_1_d\"\n ],\n \"reg_9_en\": [\n \"reg_9_en\"\n ],\n \"reg_2_d\": [\n \"reg_2_d\"\n ],\n \"reg_17_q\": [\n \"reg_17_q\"\n ],\n \"reg_7_clk\": [\n \"reg_7_clk\"\n ],\n \"T_42\": [\n \"T_42\"\n ],\n \"T_33\": [\n \"T_33\"\n ],\n \"reg_18_q\": [\n \"reg_18_q\"\n ]\n },\n \"alignment_score\": 100.0,\n \"unmapped_elements\": [],\n \"mapping_statistics\": {\n \"rtl_signals\": 144,\n \"netlist_wires\": 144,\n \"netlist_cells\": 0,\n \"mapped_signals\": 144,\n \"unmapped_signals\": 0\n },\n \"error\": null\n}\n\n[optimization_advisor {\"target_metric\": \"power\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"power\",\n \"recommended_recipes\": [\n \"synth -top sirv_AsyncResetRegVec_129\",\n \"opt; share; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean; clockgate\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"clock_gating\",\n \"description\": \"Insert clock gating for registers\",\n \"command\": \"clockgate\"\n },\n {\n \"type\": \"operand_isolation\",\n \"description\": \"Isolate operands when not in use\",\n \"command\": \"Use enable signals for arithmetic\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": 5.0,\n \"delay\": 5.0,\n \"power\": -25.0\n },\n \"trade_offs\": [\n \"Power optimization may add area overhead\",\n \"Clock gating adds timing complexity\"\n ],\n \"error\": null\n}", "category": "multi_tool", "subcategory": "cross_stage_mapper+optimization_advisor", "difficulty": "compositional", "question_hash": "41ef82c6da41", "stage1_target": "[{\"tool\": \"cross_stage_mapper\", \"parameters\": {}}, {\"tool\": \"optimization_advisor\", \"parameters\": {\"target_metric\": \"power\"}}]", "stage2_context": "Question: For sirv_AsyncResetRegVec_129, how well do the RTL signals line up with the netlist, and if I tune the design for low power, what improvements and trade-offs should I expect?\n\n[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"reg_8_q\": [\n \"reg_8_q\"\n ],\n \"reg_13_clk\": [\n \"reg_13_clk\"\n ],\n \"reg_11_d\": [\n \"reg_11_d\"\n ],\n \"reg_12_clk\": [\n \"reg_12_clk\"\n ],\n \"reg_19_clk\": [\n \"reg_19_clk\"\n ],\n \"reg_19_en\": [\n \"reg_19_en\"\n ],\n \"T_45\": [\n \"T_45\"\n ],\n \"reg_15_rst\": [\n \"reg_15_rst\"\n ],\n \"reg_1_q\": [\n \"reg_1_q\"\n \n...[4777 chars elided]...\n9\": [\n \"T_19\"\n ],\n \"reg_7_en\": [\n \"reg_7_en\"\n ],\n \"reg_7_rst\": [\n \"reg_7_rst\"\n ],\n \"reg_11_clk\": [\n \"reg_11_clk\"\n ],\n \"reg_9_clk\": [\n \"reg_9_clk\"\n ],\n \"reg_10_clk\": [\n \"reg_10_clk\"\n ],\n \"reg_5_q\": [\n \"reg_5_q\"\n ],\n \"io_q\": [\n \"io_q\"\n ],\n \"reg_1_d\": [\n \"reg_1_d\"\n ],\n \"reg_9_en\": [\n \"reg_9_en\"\n ],\n \"reg_2_d\": [\n \"reg_2_d\"\n ],\n \"reg_17_q\": [\n \"reg_17_q\"\n ],\n \"reg_7_clk\": [\n \"reg_7_clk\"\n ],\n \"T_42\": [\n \"T_42\"\n ],\n \"T_33\": [\n \"T_33\"\n ],\n \"reg_18_q\": [\n \"reg_18_q\"\n ]\n },\n \"alignment_score\": 100.0,\n \"unmapped_elements\": [],\n \"mapping_statistics\": {\n \"rtl_signals\": 144,\n \"netlist_wires\": 144,\n \"netlist_cells\": 0,\n \"mapped_signals\": 144,\n \"unmapped_signals\": 0\n },\n \"error\": null\n}\n\n[optimization_advisor {\"target_metric\": \"power\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"power\",\n \"recommended_recipes\": [\n \"synth -top sirv_AsyncResetRegVec_129\",\n \"opt; share; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean; clockgate\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"clock_gating\",\n \"description\": \"Insert clock gating for registers\",\n \"command\": \"clockgate\"\n },\n {\n \"type\": \"operand_isolation\",\n \"description\": \"Isolate operands when not in use\",\n \"command\": \"Use enable signals for arithmetic\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": 5.0,\n \"delay\": 5.0,\n \"power\": -25.0\n },\n \"trade_offs\": [\n \"Power optimization may add area overhead\",\n \"Clock gating adds timing complexity\"\n ],\n \"error\": null\n}", "plan_id": "17a226eb2679", "design_id": "5ca32bed9660", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/riscv-mcu/e203_hbirdv2", "commit": "9f3e34f337f5d0a1236a285871ffa2032491617a", "path": "rtl/e203/perips/sirv_AsyncResetRegVec_129.v", "sha256": "59f7b19022abe58b21db8f5b9880bacc71c14c4d7f0320c37fb91605c93b4e64"}} {"question": "For servant_cmod_a7_clock_gen, how does the AIG's register and inverter content line up with what the source-level analysis reports for signal declarations, always blocks and lint status? Is the clock generator's logic really just a PLL primitive with a small amount of reset synchronization around it?", "answer": "The AIG for servant_cmod_a7_clock_gen has 8 nodes and 14 edges: one MMCME2_BASE, 2 $_DFF_P_ flip-flops and 1 $_NOT_ inverter. The 2 flip-flops match the 2 regs and single always block found in the source analysis. With a cyclomatic complexity of 1, only 29 lines of code and no lint warnings, the module is essentially a PLL primitive plus a two-flop register chain on its LOCKED output.", "source_file": "github_repos/olofk_serv/servant/servant_cmod_a7_clock_gen.v", "module_name": "servant_cmod_a7_clock_gen", "tool_name": "graph_extractor+static_analyzer", "tool_parameters": [{"graph_type": "AIG"}, {"analysis_type": "full"}], "tool_result": "[graph_extractor {\"graph_type\": \"AIG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"AIG\",\n...[1644 chars elided]...\n \"node_count\": 8,\n \"edge_count\": 14,\n \"graph_properties\": {\n \"node_types\": {\n \"$_DFF_P_\": 2,\n \"$_NOT_\": 1,\n \"MMCME2_BASE\": 1,\n \"port_input\": 2,\n \"port_output\": 2\n },\n \"avg_degree\": 1.75,\n \"module_name\": \"servant_cmod_a7_clock_gen\"\n },\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"servant_cmod_a7_clock_gen\",\n \"port_count\": {\n \"inputs\": 2,\n \"outputs\": 2,\n \"inouts\": 0,\n \"total\": 4\n },\n \"signal_count\": {\n \"wires\": 5,\n \"regs\": 2,\n \"parameters\": 0,\n \"total\": 7\n },\n \"always_blocks\": 1,\n \"assign_statements\": 0,\n \"instantiations\": [\n \"MHz\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 29,\n \"total_lines\": 36,\n \"cyclomatic_complexity\": 1,\n \"nesting_depth\": 1,\n \"operator_count\": 17\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "category": "multi_tool", "subcategory": "graph_extractor+static_analyzer", "difficulty": "compositional", "question_hash": "a0babc110988", "stage1_target": "[{\"tool\": \"graph_extractor\", \"parameters\": {\"graph_type\": \"AIG\"}}, {\"tool\": \"static_analyzer\", \"parameters\": {\"analysis_type\": \"full\"}}]", "stage2_context": "Question: For servant_cmod_a7_clock_gen, how does the AIG's register and inverter content line up with what the source-level analysis reports for signal declarations, always blocks and lint status? Is the clock generator's logic really just a PLL primitive with a small amount of reset synchronization around it?\n\n[graph_extractor {\"graph_type\": \"AIG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"AIG\",\n...[1644 chars elided]...\n \"node_count\": 8,\n \"edge_count\": 14,\n \"graph_properties\": {\n \"node_types\": {\n \"$_DFF_P_\": 2,\n \"$_NOT_\": 1,\n \"MMCME2_BASE\": 1,\n \"port_input\": 2,\n \"port_output\": 2\n },\n \"avg_degree\": 1.75,\n \"module_name\": \"servant_cmod_a7_clock_gen\"\n },\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"servant_cmod_a7_clock_gen\",\n \"port_count\": {\n \"inputs\": 2,\n \"outputs\": 2,\n \"inouts\": 0,\n \"total\": 4\n },\n \"signal_count\": {\n \"wires\": 5,\n \"regs\": 2,\n \"parameters\": 0,\n \"total\": 7\n },\n \"always_blocks\": 1,\n \"assign_statements\": 0,\n \"instantiations\": [\n \"MHz\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 29,\n \"total_lines\": 36,\n \"cyclomatic_complexity\": 1,\n \"nesting_depth\": 1,\n \"operator_count\": 17\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "plan_id": "3665b936e1c8", "design_id": "5c1a93e7c9ee", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/olofk/serv", "commit": "f200eb2ed7b69ac1c6b8eddd47654522aeee5ce8", "path": "servant/servant_cmod_a7_clock_gen.v", "sha256": "d85802a08b6d0f8f6223c81268b9f9d220707f781347dc0206ce653f13ab5c49"}} {"question": "For servus_clock_gen, the power-focused optimization plan suggests inserting clock gating for registers. Given how many flip-flops and total cells medium-effort synthesis actually produces, and its baseline power and delay, does clock gating look worthwhile here, and what is the expected power improvement and trade-off?", "answer": "Medium-effort synthesis of servus_clock_gen gives only 4 cells: 2 $_DFF_P_ flip-flops, 1 $_NOT_ and 1 MMCME4_ADV, with power at 0.004 and delay at 140.2. That leaves very few registers to gate. The power-targeted plan still recommends 'clockgate' and estimates a -25.0 power change, but it warns that clock gating adds timing complexity and also lists a 5.0 change for both area and delay, so the gain is probably small for such a tiny design.", "source_file": "github_repos/olofk_serv/servant/servus_clock_gen.v", "module_name": "servus_clock_gen", "tool_name": "optimization_advisor+synthesis_tool", "tool_parameters": [{"target_metric": "power"}, {"optimization_level": "medium"}], "tool_result": "[optimization_advisor {\"target_metric\": \"power\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"power\",\n \"recommended_recipes\": [\n \"synth -top servus_clock_gen\",\n \"opt; share; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean; clockgate\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"clock_gating\",\n \"description\": \"Insert clock gating for registers\",\n \"command\": \"clockgate\"\n },\n {\n \"type\": \"operand_isolation\",\n \"description\": \"Isolate operands when not in use\",\n \"command\": \"Use enable signals for arithmetic\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": 5.0,\n \"delay\": 5.0,\n \"power\": -25.0\n },\n \"trade_offs\": [\n \"Power optimization may add area overhead\",\n \"Clock gating adds timing complexity\"\n ],\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 9.5,\n \"delay\": 140.2,\n \"power\": 0.004,\n \"gate_count\": 4,\n \"cell_breakdown\": {\n \"$_DFF_P_\": 2,\n \"$_NOT_\": 1,\n \"MMCME4_ADV\": 1\n },\n \"wire_count\": 7,\n \"wire_bits\": 7,\n \"critical_path_estimate\": 140.2,\n...[1120 chars elided]...\n \"error\": null\n}", "category": "multi_tool", "subcategory": "optimization_advisor+synthesis_tool", "difficulty": "compositional", "question_hash": "9141ddf3184c", "stage1_target": "[{\"tool\": \"optimization_advisor\", \"parameters\": {\"target_metric\": \"power\"}}, {\"tool\": \"synthesis_tool\", \"parameters\": {\"optimization_level\": \"medium\"}}]", "stage2_context": "Question: For servus_clock_gen, the power-focused optimization plan suggests inserting clock gating for registers. Given how many flip-flops and total cells medium-effort synthesis actually produces, and its baseline power and delay, does clock gating look worthwhile here, and what is the expected power improvement and trade-off?\n\n[optimization_advisor {\"target_metric\": \"power\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"power\",\n \"recommended_recipes\": [\n \"synth -top servus_clock_gen\",\n \"opt; share; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean; clockgate\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"clock_gating\",\n \"description\": \"Insert clock gating for registers\",\n \"command\": \"clockgate\"\n },\n {\n \"type\": \"operand_isolation\",\n \"description\": \"Isolate operands when not in use\",\n \"command\": \"Use enable signals for arithmetic\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": 5.0,\n \"delay\": 5.0,\n \"power\": -25.0\n },\n \"trade_offs\": [\n \"Power optimization may add area overhead\",\n \"Clock gating adds timing complexity\"\n ],\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 9.5,\n \"delay\": 140.2,\n \"power\": 0.004,\n \"gate_count\": 4,\n \"cell_breakdown\": {\n \"$_DFF_P_\": 2,\n \"$_NOT_\": 1,\n \"MMCME4_ADV\": 1\n },\n \"wire_count\": 7,\n \"wire_bits\": 7,\n \"critical_path_estimate\": 140.2,\n...[1120 chars elided]...\n \"error\": null\n}", "plan_id": "c11dff4021bd", "design_id": "5d50c801d7f9", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/olofk/serv", "commit": "f200eb2ed7b69ac1c6b8eddd47654522aeee5ce8", "path": "servant/servus_clock_gen.v", "sha256": "ec897c6e4c008304ca6900c16ef1f2af29e11f8f7e0aebc08904818ee5ac4d2e"}} {"question": "For spi_master_fifo, how well do the RTL signals line up with the synthesized netlist, and how does that compare with the amount of state and control logic in the module's DFG? Which RTL elements could not be mapped, and how many register nodes and mux nodes does the DFG contain?", "answer": "The RTL-to-netlist mapping for spi_master_fifo has an alignment score of 61.54, with 8 of its 13 RTL signals mapped and 5 left unmapped (wire, ports, pointer, side, location). Its DFG has 52 nodes and 697 edges, including 5 $adffe register nodes, 9 $mux nodes and 1 $pmux node.", "source_file": "github_repos/riscv-mcu_e203_hbirdv2/rtl/e203/perips/apb_spi_master/spi_master_fifo.v", "module_name": "spi_master_fifo", "tool_name": "cross_stage_mapper+graph_extractor", "tool_parameters": [{}, {"graph_type": "DFG"}], "tool_result": "[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"clk_i\": [\n \"clk_i\"\n ],\n \"wire\": [],\n \"ports\": [],\n \"pointer\": [],\n \"clr_i\": [\n \"clr_i\"\n ],\n \"valid_o\": [\n \"valid_o\"\n ],\n \"full\": [\n \"full\"\n ],\n \"valid_i\": [\n \"valid_i\"\n ],\n \"ready_o\": [\n \"ready_o\"\n ],\n \"rst_ni\": [\n \"rst_ni\"\n ],\n \"ready_i\": [\n \"ready_i\"\n ],\n \"side\": [],\n \"location\": []\n },\n \"alignment_score\": 61.54,\n \"unmapped_elements\": [\n \"wire\",\n \"ports\",\n \"pointer\",\n \"side\",\n \"location\"\n ],\n \"mapping_statistics\": {\n \"rtl_signals\": 13,\n \"netlist_wires\": 1031,\n \"netlist_cells\": 0,\n \"mapped_signals\": 8,\n \"unmapped_signals\": 5\n },\n \"error\": null\n}\n\n[graph_extractor {\"graph_type\": \"DFG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"DFG\",\n...[37841 chars elided]...\n \"node_count\": 52,\n \"edge_count\": 697,\n \"graph_properties\": {\n \"node_types\": {\n \"$eq\": 3,\n \"$add\": 3,\n \"$reduce_bool\": 4,\n \"$not\": 3,\n \"$logic_and\": 5,\n \"$logic_not\": 4,\n \"$logic_or\": 2,\n \"$sub\": 1,\n \"$adffe\": 5,\n \"$reduce_and\": 2,\n \"$pmux\": 1,\n \"$mux\": 9,\n \"port_input\": 6,\n \"port_output\": 4\n },\n \"avg_degree\": 13.4,\n \"module_name\": \"spi_master_fifo\"\n },\n \"error\": null\n}", "category": "multi_tool", "subcategory": "cross_stage_mapper+graph_extractor", "difficulty": "compositional", "question_hash": "6d15e7065126", "stage1_target": "[{\"tool\": \"cross_stage_mapper\", \"parameters\": {}}, {\"tool\": \"graph_extractor\", \"parameters\": {\"graph_type\": \"DFG\"}}]", "stage2_context": "Question: For spi_master_fifo, how well do the RTL signals line up with the synthesized netlist, and how does that compare with the amount of state and control logic in the module's DFG? Which RTL elements could not be mapped, and how many register nodes and mux nodes does the DFG contain?\n\n[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"clk_i\": [\n \"clk_i\"\n ],\n \"wire\": [],\n \"ports\": [],\n \"pointer\": [],\n \"clr_i\": [\n \"clr_i\"\n ],\n \"valid_o\": [\n \"valid_o\"\n ],\n \"full\": [\n \"full\"\n ],\n \"valid_i\": [\n \"valid_i\"\n ],\n \"ready_o\": [\n \"ready_o\"\n ],\n \"rst_ni\": [\n \"rst_ni\"\n ],\n \"ready_i\": [\n \"ready_i\"\n ],\n \"side\": [],\n \"location\": []\n },\n \"alignment_score\": 61.54,\n \"unmapped_elements\": [\n \"wire\",\n \"ports\",\n \"pointer\",\n \"side\",\n \"location\"\n ],\n \"mapping_statistics\": {\n \"rtl_signals\": 13,\n \"netlist_wires\": 1031,\n \"netlist_cells\": 0,\n \"mapped_signals\": 8,\n \"unmapped_signals\": 5\n },\n \"error\": null\n}\n\n[graph_extractor {\"graph_type\": \"DFG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"DFG\",\n...[37841 chars elided]...\n \"node_count\": 52,\n \"edge_count\": 697,\n \"graph_properties\": {\n \"node_types\": {\n \"$eq\": 3,\n \"$add\": 3,\n \"$reduce_bool\": 4,\n \"$not\": 3,\n \"$logic_and\": 5,\n \"$logic_not\": 4,\n \"$logic_or\": 2,\n \"$sub\": 1,\n \"$adffe\": 5,\n \"$reduce_and\": 2,\n \"$pmux\": 1,\n \"$mux\": 9,\n \"port_input\": 6,\n \"port_output\": 4\n },\n \"avg_degree\": 13.4,\n \"module_name\": \"spi_master_fifo\"\n },\n \"error\": null\n}", "plan_id": "5a2504353f99", "design_id": "5db32ef3ffeb", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/riscv-mcu/e203_hbirdv2", "commit": "9f3e34f337f5d0a1236a285871ffa2032491617a", "path": "rtl/e203/perips/apb_spi_master/spi_master_fifo.v", "sha256": "8758acb343d6378459006445288b95dfd24c93e5ccc88c6b53b0d0d067d7a66a"}} {"question": "For LNQD1PO4, the DFG has just one $dff node with CLK_POLARITY 0, and the EN input drives its CLK port. Given that structure, are the delay-targeted optimization suggestions actually useful here, such as pipelining arithmetic operations or duplicating logic to reduce fanout? And what estimated delay change and area cost do those suggestions come with?", "answer": "The LNQD1PO4 DFG has only 4 nodes and 3 edges: a single $dff with CLK_POLARITY 0 whose CLK is driven by EN and whose D/Q connect directly to the ports. It has no arithmetic and no fanout to cut, so the delay-oriented suggestions (pipelining arithmetic operations, splitnets -driver logic duplication) don't really apply. The estimated -20.0 delay improvement would also cost an area increase of 10.0 and a power increase of 5.0.", "source_file": "github_repos/nvdla_hw/vmod/vlibs/LNQD1PO4.v", "module_name": "LNQD1PO4", "tool_name": "graph_extractor+optimization_advisor", "tool_parameters": [{"graph_type": "DFG"}, {"target_metric": "delay"}], "tool_result": "[graph_extractor {\"graph_type\": \"DFG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"DFG\",\n \"node_count\": 4,\n \"edge_count\": 3,\n \"graph_properties\": {\n \"node_types\": {\n \"$dff\": 1,\n \"port_input\": 2,\n \"port_output\": 1\n },\n \"avg_degree\": 0.75,\n \"module_name\": \"LNQD1PO4\"\n },\n \"error\": null\n}\n\n[optimization_advisor {\"target_metric\": \"delay\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"delay\",\n \"recommended_recipes\": [\n \"synth -top LNQD1PO4\",\n \"opt -fast\",\n \"abc -fast -liberty stdcells.lib\",\n \"opt_clean\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"pipeline_insertion\",\n \"description\": \"Consider pipelining arithmetic operations\",\n \"command\": \"Use register retiming\"\n },\n {\n \"type\": \"logic_duplication\",\n \"description\": \"Duplicate logic to reduce fanout\",\n \"command\": \"splitnets -driver\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": 10.0,\n \"delay\": -20.0,\n \"power\": 5.0\n },\n \"trade_offs\": [\n \"Speed optimization increases area\",\n \"Higher power consumption\"\n ],\n \"error\": null\n}", "category": "multi_tool", "subcategory": "graph_extractor+optimization_advisor", "difficulty": "compositional", "question_hash": "2af6072b0d1e", "stage1_target": "[{\"tool\": \"graph_extractor\", \"parameters\": {\"graph_type\": \"DFG\"}}, {\"tool\": \"optimization_advisor\", \"parameters\": {\"target_metric\": \"delay\"}}]", "stage2_context": "Question: For LNQD1PO4, the DFG has just one $dff node with CLK_POLARITY 0, and the EN input drives its CLK port. Given that structure, are the delay-targeted optimization suggestions actually useful here, such as pipelining arithmetic operations or duplicating logic to reduce fanout? And what estimated delay change and area cost do those suggestions come with?\n\n[graph_extractor {\"graph_type\": \"DFG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"DFG\",\n \"node_count\": 4,\n \"edge_count\": 3,\n \"graph_properties\": {\n \"node_types\": {\n \"$dff\": 1,\n \"port_input\": 2,\n \"port_output\": 1\n },\n \"avg_degree\": 0.75,\n \"module_name\": \"LNQD1PO4\"\n },\n \"error\": null\n}\n\n[optimization_advisor {\"target_metric\": \"delay\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"delay\",\n \"recommended_recipes\": [\n \"synth -top LNQD1PO4\",\n \"opt -fast\",\n \"abc -fast -liberty stdcells.lib\",\n \"opt_clean\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"pipeline_insertion\",\n \"description\": \"Consider pipelining arithmetic operations\",\n \"command\": \"Use register retiming\"\n },\n {\n \"type\": \"logic_duplication\",\n \"description\": \"Duplicate logic to reduce fanout\",\n \"command\": \"splitnets -driver\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": 10.0,\n \"delay\": -20.0,\n \"power\": 5.0\n },\n \"trade_offs\": [\n \"Speed optimization increases area\",\n \"Higher power consumption\"\n ],\n \"error\": null\n}", "plan_id": "1baa77417c35", "design_id": "5f68aab3fe44", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/nvdla/hw", "commit": "8e06b1b9d85aab65b40d43d08eec5ea4681ff715", "path": "vmod/vlibs/LNQD1PO4.v", "sha256": "c89821ba1f3fdbb7b207847a90c2fbab81ce2df36519bba9b561bf9f04265bc7"}} {"question": "For dport_axi, the RTL-to-netlist mapping leaves some state registers unmapped, and the AIG graph has a certain number of flip-flops. An area-targeted optimization is also proposed. Which registers are unmapped and what is the mapping alignment score? How many DFFE flip-flops of each kind does the AIG contain? What area improvement and delay penalty does the area optimization estimate?", "answer": "In dport_axi, three registers are unmapped (awvalid_inhibit_q, wvalid_inhibit_q and request_pending_q), giving an alignment score of 92.5, and the AIG contains 160 $_DFFE_PP_ and 11 $_DFFE_PP0P_ flip-flops among 13100 nodes. The area-targeted optimization estimates a -15.0 area change but a 5.0 delay increase, which matches its warning that area optimization may increase delay.", "source_file": "github_repos/ultraembedded_riscv/top_tcm_wrapper/dport_axi.v", "module_name": "dport_axi", "tool_name": "cross_stage_mapper+graph_extractor+optimization_advisor", "tool_parameters": [{}, {"graph_type": "AIG"}, {"target_metric": "area"}], "tool_result": "[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"axi_rvalid_i\": [\n \"axi_rvalid_i\"\n ],\n \"req_accept_w\": [\n \"req_accept_w\"\n ],\n \"pop_i\": [\n \"pop_i\"\n ],\n \"axi_arvalid_o\": [\n \"axi_arvalid_o\"\n ],\n \"req_pop_w\": [\n \"req_pop_w\"\n ],\n...[1485 chars elided]...\nwvalid_o\"\n ],\n \"read_complete_w\": [\n \"read_complete_w\"\n ],\n \"res_accept_w\": [\n \"res_accept_w\"\n ],\n \"mem_invalidate_i\": [\n \"mem_invalidate_i\"\n ],\n \"mem_writeback_i\": [\n \"mem_writeback_i\"\n ],\n \"request_pending_q\": []\n },\n \"alignment_score\": 92.5,\n \"unmapped_elements\": [\n \"awvalid_inhibit_q\",\n \"wvalid_inhibit_q\",\n \"request_pending_q\"\n ],\n \"mapping_statistics\": {\n \"rtl_signals\": 40,\n \"netlist_wires\": 2294,\n \"netlist_cells\": 0,\n \"mapped_signals\": 37,\n \"unmapped_signals\": 3\n },\n \"error\": null\n}\n\n[graph_extractor {\"graph_type\": \"AIG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"AIG\",\n...[34325 chars elided]...\n \"node_count\": 13100,\n \"edge_count\": 32199,\n \"graph_properties\": {\n \"node_types\": {\n \"$_AND_\": 5597,\n \"$_NOT_\": 7271,\n \"$_DFFE_PP0P_\": 11,\n \"$_DFFE_PP_\": 160,\n \"port_input\": 32,\n \"port_output\": 27,\n \"$paramod$d9f6c2b68624f43676f5b074193d50d03c0e6a6b\\\\dport_axi_fifo\": 1,\n \"$paramod$5d80903b9c164f49fb8886f3e9a7d3f0114ec7cf\\\\dport_axi_fifo\": 1\n },\n \"avg_degree\": 2.46,\n \"module_name\": \"dport_axi\"\n },\n \"error\": null\n}\n\n[optimization_advisor {\"target_metric\": \"area\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"area\",\n \"recommended_recipes\": [\n \"synth -top dport_axi -flatten\",\n \"opt -full; share -aggressive; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean -purge\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"mux_optimization\",\n \"description\": \"Share multiplexers where possible\",\n \"command\": \"muxcover; opt\"\n },\n {\n \"type\": \"resource_sharing\",\n \"description\": \"Share arithmetic operators\",\n \"command\": \"share -aggressive\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": -15.0,\n \"delay\": 5.0,\n \"power\": -10.0\n },\n \"trade_offs\": [\n \"Area optimization may increase delay\",\n \"Aggressive sharing increases routing complexity\"\n ],\n \"error\": null\n}", "category": "multi_tool", "subcategory": "cross_stage_mapper+graph_extractor+optimization_advisor", "difficulty": "compositional", "question_hash": "21dbd590650d", "stage1_target": "[{\"tool\": \"cross_stage_mapper\", \"parameters\": {}}, {\"tool\": \"graph_extractor\", \"parameters\": {\"graph_type\": \"AIG\"}}, {\"tool\": \"optimization_advisor\", \"parameters\": {\"target_metric\": \"area\"}}]", "stage2_context": "Question: For dport_axi, the RTL-to-netlist mapping leaves some state registers unmapped, and the AIG graph has a certain number of flip-flops. An area-targeted optimization is also proposed. Which registers are unmapped and what is the mapping alignment score? How many DFFE flip-flops of each kind does the AIG contain? What area improvement and delay penalty does the area optimization estimate?\n\n[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"axi_rvalid_i\": [\n \"axi_rvalid_i\"\n ],\n \"req_accept_w\": [\n \"req_accept_w\"\n ],\n \"pop_i\": [\n \"pop_i\"\n ],\n \"axi_arvalid_o\": [\n \"axi_arvalid_o\"\n ],\n \"req_pop_w\": [\n \"req_pop_w\"\n ],\n...[1485 chars elided]...\nwvalid_o\"\n ],\n \"read_complete_w\": [\n \"read_complete_w\"\n ],\n \"res_accept_w\": [\n \"res_accept_w\"\n ],\n \"mem_invalidate_i\": [\n \"mem_invalidate_i\"\n ],\n \"mem_writeback_i\": [\n \"mem_writeback_i\"\n ],\n \"request_pending_q\": []\n },\n \"alignment_score\": 92.5,\n \"unmapped_elements\": [\n \"awvalid_inhibit_q\",\n \"wvalid_inhibit_q\",\n \"request_pending_q\"\n ],\n \"mapping_statistics\": {\n \"rtl_signals\": 40,\n \"netlist_wires\": 2294,\n \"netlist_cells\": 0,\n \"mapped_signals\": 37,\n \"unmapped_signals\": 3\n },\n \"error\": null\n}\n\n[graph_extractor {\"graph_type\": \"AIG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"AIG\",\n...[34325 chars elided]...\n \"node_count\": 13100,\n \"edge_count\": 32199,\n \"graph_properties\": {\n \"node_types\": {\n \"$_AND_\": 5597,\n \"$_NOT_\": 7271,\n \"$_DFFE_PP0P_\": 11,\n \"$_DFFE_PP_\": 160,\n \"port_input\": 32,\n \"port_output\": 27,\n \"$paramod$d9f6c2b68624f43676f5b074193d50d03c0e6a6b\\\\dport_axi_fifo\": 1,\n \"$paramod$5d80903b9c164f49fb8886f3e9a7d3f0114ec7cf\\\\dport_axi_fifo\": 1\n },\n \"avg_degree\": 2.46,\n \"module_name\": \"dport_axi\"\n },\n \"error\": null\n}\n\n[optimization_advisor {\"target_metric\": \"area\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"area\",\n \"recommended_recipes\": [\n \"synth -top dport_axi -flatten\",\n \"opt -full; share -aggressive; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean -purge\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"mux_optimization\",\n \"description\": \"Share multiplexers where possible\",\n \"command\": \"muxcover; opt\"\n },\n {\n \"type\": \"resource_sharing\",\n \"description\": \"Share arithmetic operators\",\n \"command\": \"share -aggressive\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": -15.0,\n \"delay\": 5.0,\n \"power\": -10.0\n },\n \"trade_offs\": [\n \"Area optimization may increase delay\",\n \"Aggressive sharing increases routing complexity\"\n ],\n \"error\": null\n}", "plan_id": "302b02759363", "design_id": "5faf5c262665", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 3, "ctx_cap": 3300, "source": {"repository": "https://github.com/ultraembedded/riscv", "commit": "7ae6f803e30f78c6ea3121e73c3adf50ff912730", "path": "top_tcm_wrapper/dport_axi.v", "sha256": "11b8b0ec656b9bc05db594e09b610f00c4d9245a73a9bd9c1c910fc15deea43f"}} {"question": "For NV_NVDLA_CDP_DP_cvtin, how does the CDFG's view of the design's port and sequential structure line up with what the source-level analysis reports in terms of port counts, register declarations, and instantiated submodules?", "answer": "The CDFG for NV_NVDLA_CDP_DP_cvtin has 25 port_input and 14 port_output nodes, while the source-level analysis counts 27 inputs and 22 outputs, so ports collapse or get dropped when the graph is built. The CDFG also shows 7 $adff and 3 $dffe flip-flop cells against 25 declared regs in 19 always blocks, and it contains 4 HLS_cdp_icvt instances plus one each of NV_NVDLA_CDP_DP_CVTIN_pipe_p1, pipe_p2 and pipe_p3, which matches the submodules listed in the instantiations.", "source_file": "github_repos/nvdla_hw/vmod/nvdla/cdp/NV_NVDLA_CDP_DP_cvtin.v", "module_name": "NV_NVDLA_CDP_DP_cvtin", "tool_name": "graph_extractor+static_analyzer", "tool_parameters": [{"graph_type": "CDFG"}, {"analysis_type": "full"}], "tool_result": "[graph_extractor {\"graph_type\": \"CDFG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"CDFG\",\n...[56962 chars elided]...\n \"node_count\": 124,\n \"edge_count\": 4217,\n \"graph_properties\": {\n \"node_types\": {\n \"$logic_not\": 4,\n \"$logic_or\": 3,\n \"$mux\": 3,\n \"$logic_and\": 3,\n \"$dffe\": 3,\n \"$adff\": 7,\n \"port_input\": 25,\n \"port_output\": 14,\n \"$and\": 41,\n \"$eq\": 7,\n \"$or\": 7,\n \"NV_NVDLA_CDP_DP_CVTIN_pipe_p1\": 1,\n \"NV_NVDLA_CDP_DP_CVTIN_pipe_p2\": 1,\n \"NV_NVDLA_CDP_DP_CVTIN_pipe_p3\": 1,\n \"HLS_cdp_icvt\": 4\n },\n \"avg_degree\": 34.01,\n \"module_name\": \"NV_NVDLA_CDP_DP_cvtin\"\n },\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"NV_NVDLA_CDP_DP_cvtin\",\n \"port_count\": {\n \"inputs\": 27,\n \"outputs\": 22,\n \"inouts\": 0,\n \"total\": 49\n },\n \"signal_count\": {\n \"wires\": 54,\n \"regs\": 25,\n \"parameters\": 0,\n \"total\": 79\n },\n \"always_blocks\": 19,\n \"assign_statements\": 36,\n \"instantiations\": [\n \"NV_NVDLA_CDP_DP_CVTIN_pipe_p2\",\n \"NV_NVDLA_CDP_DP_CVTIN_pipe_p3\",\n \"define\",\n \"HLS_cdp_icvt\",\n \"NV_NVDLA_CDP_DP_CVTIN_pipe_p1\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 565,\n \"total_lines\": 808,\n \"cyclomatic_complexity\": 47,\n \"nesting_depth\": 33,\n \"operator_count\": 2464\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "category": "multi_tool", "subcategory": "graph_extractor+static_analyzer", "difficulty": "compositional", "question_hash": "da4ed4b681aa", "stage1_target": "[{\"tool\": \"graph_extractor\", \"parameters\": {\"graph_type\": \"CDFG\"}}, {\"tool\": \"static_analyzer\", \"parameters\": {\"analysis_type\": \"full\"}}]", "stage2_context": "Question: For NV_NVDLA_CDP_DP_cvtin, how does the CDFG's view of the design's port and sequential structure line up with what the source-level analysis reports in terms of port counts, register declarations, and instantiated submodules?\n\n[graph_extractor {\"graph_type\": \"CDFG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"CDFG\",\n...[56962 chars elided]...\n \"node_count\": 124,\n \"edge_count\": 4217,\n \"graph_properties\": {\n \"node_types\": {\n \"$logic_not\": 4,\n \"$logic_or\": 3,\n \"$mux\": 3,\n \"$logic_and\": 3,\n \"$dffe\": 3,\n \"$adff\": 7,\n \"port_input\": 25,\n \"port_output\": 14,\n \"$and\": 41,\n \"$eq\": 7,\n \"$or\": 7,\n \"NV_NVDLA_CDP_DP_CVTIN_pipe_p1\": 1,\n \"NV_NVDLA_CDP_DP_CVTIN_pipe_p2\": 1,\n \"NV_NVDLA_CDP_DP_CVTIN_pipe_p3\": 1,\n \"HLS_cdp_icvt\": 4\n },\n \"avg_degree\": 34.01,\n \"module_name\": \"NV_NVDLA_CDP_DP_cvtin\"\n },\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"NV_NVDLA_CDP_DP_cvtin\",\n \"port_count\": {\n \"inputs\": 27,\n \"outputs\": 22,\n \"inouts\": 0,\n \"total\": 49\n },\n \"signal_count\": {\n \"wires\": 54,\n \"regs\": 25,\n \"parameters\": 0,\n \"total\": 79\n },\n \"always_blocks\": 19,\n \"assign_statements\": 36,\n \"instantiations\": [\n \"NV_NVDLA_CDP_DP_CVTIN_pipe_p2\",\n \"NV_NVDLA_CDP_DP_CVTIN_pipe_p3\",\n \"define\",\n \"HLS_cdp_icvt\",\n \"NV_NVDLA_CDP_DP_CVTIN_pipe_p1\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 565,\n \"total_lines\": 808,\n \"cyclomatic_complexity\": 47,\n \"nesting_depth\": 33,\n \"operator_count\": 2464\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "plan_id": "c237ab6e3b25", "design_id": "6129ff64e469", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/nvdla/hw", "commit": "8e06b1b9d85aab65b40d43d08eec5ea4681ff715", "path": "vmod/nvdla/cdp/NV_NVDLA_CDP_DP_cvtin.v", "sha256": "75eb3929c3e71329b8bc2639327d6b2c35dcd27de018edc6b84128efd1cff08a"}} {"question": "For NV_NVDLA_CMAC_CORE_MAC_nan, the AIG has a lot of inverters and only a few registers. Based on that structure, is the recommended delay-targeted optimization flow a good fit, and what area cost does it imply?", "answer": "The AIG for NV_NVDLA_CMAC_CORE_MAC_nan has 4684 AND nodes and 6482 NOT nodes but only 33 $_DFFE_PN0P_ flip-flops, which means it is mostly deep combinational logic. That makes the delay-targeted suggestions (pipelining with register retiming and splitting high-fanout nets with splitnets -driver) a reasonable fit. The estimated delay improvement is -20.0, traded against an area increase of 10.0 and a power increase of 5.0.", "source_file": "github_repos/nvdla_hw/vmod/nvdla/cmac/NV_NVDLA_CMAC_CORE_MAC_nan.v", "module_name": "NV_NVDLA_CMAC_CORE_MAC_nan", "tool_name": "graph_extractor+optimization_advisor", "tool_parameters": [{"graph_type": "AIG"}, {"target_metric": "delay"}], "tool_result": "[graph_extractor {\"graph_type\": \"AIG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"AIG\",\n...[33979 chars elided]...\n \"node_count\": 11209,\n \"edge_count\": 27181,\n \"graph_properties\": {\n \"node_types\": {\n \"$_AND_\": 4684,\n \"$_NOT_\": 6482,\n \"$_DFFE_PN0P_\": 33,\n \"port_input\": 8,\n \"port_output\": 2\n },\n \"avg_degree\": 2.42,\n \"module_name\": \"NV_NVDLA_CMAC_CORE_MAC_nan\"\n },\n \"error\": null\n}\n\n[optimization_advisor {\"target_metric\": \"delay\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"delay\",\n \"recommended_recipes\": [\n \"synth -top NV_NVDLA_CMAC_CORE_MAC_nan\",\n \"opt -fast\",\n \"abc -fast -liberty stdcells.lib\",\n \"opt_clean\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"pipeline_insertion\",\n \"description\": \"Consider pipelining arithmetic operations\",\n \"command\": \"Use register retiming\"\n },\n {\n \"type\": \"logic_duplication\",\n \"description\": \"Duplicate logic to reduce fanout\",\n \"command\": \"splitnets -driver\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": 10.0,\n \"delay\": -20.0,\n \"power\": 5.0\n },\n \"trade_offs\": [\n \"Speed optimization increases area\",\n \"Higher power consumption\"\n ],\n \"error\": null\n}", "category": "multi_tool", "subcategory": "graph_extractor+optimization_advisor", "difficulty": "compositional", "question_hash": "82931a4cc632", "stage1_target": "[{\"tool\": \"graph_extractor\", \"parameters\": {\"graph_type\": \"AIG\"}}, {\"tool\": \"optimization_advisor\", \"parameters\": {\"target_metric\": \"delay\"}}]", "stage2_context": "Question: For NV_NVDLA_CMAC_CORE_MAC_nan, the AIG has a lot of inverters and only a few registers. Based on that structure, is the recommended delay-targeted optimization flow a good fit, and what area cost does it imply?\n\n[graph_extractor {\"graph_type\": \"AIG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"AIG\",\n...[33979 chars elided]...\n \"node_count\": 11209,\n \"edge_count\": 27181,\n \"graph_properties\": {\n \"node_types\": {\n \"$_AND_\": 4684,\n \"$_NOT_\": 6482,\n \"$_DFFE_PN0P_\": 33,\n \"port_input\": 8,\n \"port_output\": 2\n },\n \"avg_degree\": 2.42,\n \"module_name\": \"NV_NVDLA_CMAC_CORE_MAC_nan\"\n },\n \"error\": null\n}\n\n[optimization_advisor {\"target_metric\": \"delay\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"delay\",\n \"recommended_recipes\": [\n \"synth -top NV_NVDLA_CMAC_CORE_MAC_nan\",\n \"opt -fast\",\n \"abc -fast -liberty stdcells.lib\",\n \"opt_clean\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"pipeline_insertion\",\n \"description\": \"Consider pipelining arithmetic operations\",\n \"command\": \"Use register retiming\"\n },\n {\n \"type\": \"logic_duplication\",\n \"description\": \"Duplicate logic to reduce fanout\",\n \"command\": \"splitnets -driver\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": 10.0,\n \"delay\": -20.0,\n \"power\": 5.0\n },\n \"trade_offs\": [\n \"Speed optimization increases area\",\n \"Higher power consumption\"\n ],\n \"error\": null\n}", "plan_id": "58f901dc5b89", "design_id": "62c5c6f1296b", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/nvdla/hw", "commit": "8e06b1b9d85aab65b40d43d08eec5ea4681ff715", "path": "vmod/nvdla/cmac/NV_NVDLA_CMAC_CORE_MAC_nan.v", "sha256": "8ee0f92572e842fbea9e39c77d2b88f80c3ed3744c66b665a4c7366293ea6d42"}} {"question": "For module top, does the RTL-to-netlist mapping confirm that the mapped CDFG (two sky130_fd_sc_hs__ebufn_4 tri-state buffers and one sky130_fd_sc_hs__inv_1 inverter) still matches the RTL ports, and how much area improvement can an area-targeted optimization be expected to give, given how small the design is?", "answer": "For module top, the mapping reaches an alignment_score of 100.0, with all 2 RTL signals mapped (in1 and out) and 0 unmapped. The CDFG has only 8 nodes and 8 edges, made up of 2 sky130_fd_sc_hs__ebufn_4 cells and 1 sky130_fd_sc_hs__inv_1 cell. Because the design has no arithmetic to share, the estimated -15.0 area change from the area-targeted recipe (with its 5.0 delay trade-off) is unlikely to be fully realized.", "source_file": "github_repos/The-OpenROAD-Project_OpenROAD/src/rsz/test/report_overdriven_nets4.v", "module_name": "top", "tool_name": "cross_stage_mapper+graph_extractor+optimization_advisor", "tool_parameters": [{}, {"graph_type": "CDFG"}, {"target_metric": "area"}], "tool_result": "[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"in1\": [\n \"in1\"\n ],\n \"out\": [\n \"out\"\n ]\n },\n \"alignment_score\": 100.0,\n \"unmapped_elements\": [],\n \"mapping_statistics\": {\n \"rtl_signals\": 2,\n \"netlist_wires\": 5,\n \"netlist_cells\": 0,\n \"mapped_signals\": 2,\n \"unmapped_signals\": 0\n },\n \"error\": null\n}\n\n[graph_extractor {\"graph_type\": \"CDFG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"CDFG\",\n...[1284 chars elided]...\n \"node_count\": 8,\n \"edge_count\": 8,\n \"graph_properties\": {\n \"node_types\": {\n \"sky130_fd_sc_hs__ebufn_4\": 2,\n \"sky130_fd_sc_hs__inv_1\": 1,\n \"port_input\": 4,\n \"port_output\": 1\n },\n \"avg_degree\": 1.0,\n \"module_name\": \"top\"\n },\n \"error\": null\n}\n\n[optimization_advisor {\"target_metric\": \"area\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"area\",\n \"recommended_recipes\": [\n \"synth -top top -flatten\",\n \"opt -full; share -aggressive; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean -purge\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"resource_sharing\",\n \"description\": \"Share arithmetic operators\",\n \"command\": \"share -aggressive\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": -15.0,\n \"delay\": 5.0,\n \"power\": -10.0\n },\n \"trade_offs\": [\n \"Area optimization may increase delay\",\n \"Aggressive sharing increases routing complexity\"\n ],\n \"error\": null\n}", "category": "multi_tool", "subcategory": "cross_stage_mapper+graph_extractor+optimization_advisor", "difficulty": "compositional", "question_hash": "cf7a36475f0b", "stage1_target": "[{\"tool\": \"cross_stage_mapper\", \"parameters\": {}}, {\"tool\": \"graph_extractor\", \"parameters\": {\"graph_type\": \"CDFG\"}}, {\"tool\": \"optimization_advisor\", \"parameters\": {\"target_metric\": \"area\"}}]", "stage2_context": "Question: For module top, does the RTL-to-netlist mapping confirm that the mapped CDFG (two sky130_fd_sc_hs__ebufn_4 tri-state buffers and one sky130_fd_sc_hs__inv_1 inverter) still matches the RTL ports, and how much area improvement can an area-targeted optimization be expected to give, given how small the design is?\n\n[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"in1\": [\n \"in1\"\n ],\n \"out\": [\n \"out\"\n ]\n },\n \"alignment_score\": 100.0,\n \"unmapped_elements\": [],\n \"mapping_statistics\": {\n \"rtl_signals\": 2,\n \"netlist_wires\": 5,\n \"netlist_cells\": 0,\n \"mapped_signals\": 2,\n \"unmapped_signals\": 0\n },\n \"error\": null\n}\n\n[graph_extractor {\"graph_type\": \"CDFG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"CDFG\",\n...[1284 chars elided]...\n \"node_count\": 8,\n \"edge_count\": 8,\n \"graph_properties\": {\n \"node_types\": {\n \"sky130_fd_sc_hs__ebufn_4\": 2,\n \"sky130_fd_sc_hs__inv_1\": 1,\n \"port_input\": 4,\n \"port_output\": 1\n },\n \"avg_degree\": 1.0,\n \"module_name\": \"top\"\n },\n \"error\": null\n}\n\n[optimization_advisor {\"target_metric\": \"area\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"area\",\n \"recommended_recipes\": [\n \"synth -top top -flatten\",\n \"opt -full; share -aggressive; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean -purge\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"resource_sharing\",\n \"description\": \"Share arithmetic operators\",\n \"command\": \"share -aggressive\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": -15.0,\n \"delay\": 5.0,\n \"power\": -10.0\n },\n \"trade_offs\": [\n \"Area optimization may increase delay\",\n \"Aggressive sharing increases routing complexity\"\n ],\n \"error\": null\n}", "plan_id": "def57174000d", "design_id": "6480de8cbf81", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 3, "ctx_cap": 3300, "source": {"repository": "https://github.com/The-OpenROAD-Project/OpenROAD", "commit": "3e3e483a4e3f98e2b5470b272040699de6dedbee", "path": "src/rsz/test/report_overdriven_nets4.v", "sha256": "b8c3706ee3c49a5af65658087a42e12052d2fe84d8960b9b9f2a7846d1580eb2"}} {"question": "For nv_ram_rwst_256x8, how well does the RTL line up with the synthesized netlist, and how does that relate to the module's structure? Report the RTL-to-netlist alignment score and the number of unmapped signals, then explain them using the instantiated macros and the wire/reg counts from the static analysis.", "answer": "nv_ram_rwst_256x8 has a low RTL-to-netlist alignment score of 19.45, with 265 unmapped signals (for example, every shadow_mem_row* signal) and only 64 mapped. This fits a design that is mostly structural wiring: it has 311 wires but only 7 regs, 0 always blocks and 0 assign statements, and the actual storage sits inside the instantiated RAMDP_256X8_GL_M2_E2 macro, so the netlist keeps only 63 wires and 0 cells.", "source_file": "github_repos/nvdla_hw/vmod/rams/synth/nv_ram_rwst_256x8.v", "module_name": "nv_ram_rwst_256x8", "tool_name": "cross_stage_mapper+static_analyzer", "tool_parameters": [{}, {"analysis_type": "full"}], "tool_result": "[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"mbist_en_sync\": [\n \"mbist_en_sync\",\n \"pre_mbist_en_sync\"\n ],\n \"shadow_mem_row203\": [],\n \"shadow_mem_row85\": [],\n \"shadow_mem_row184\": [],\n \"shadow_mem_row187\": [],\n \"shadow_mem_row107\": [],\n \"mbist_ce_r0\": [\n \"mbist_ce_r0\",\n \"pre_mbist_ce_r0\"\n ],\n \"shadow_mem_row29\": [],\n \"shadow_mem_row113\": [],\n \"shadow_mem_row47\": [],\n\n...[11251 chars elided]...\ndebug_mode\"\n ],\n \"write_inh\": [\n \"pre_write_inh\",\n \"write_inh\"\n ],\n \"shadow_mem_row142\": [],\n \"shadow_mem_row39\": []\n },\n \"alignment_score\": 19.45,\n \"unmapped_elements\": [\n \"shadow_mem_row203\",\n \"shadow_mem_row85\",\n \"shadow_mem_row184\",\n \"shadow_mem_row187\",\n \"shadow_mem_row107\",\n \"shadow_mem_row29\",\n \"shadow_mem_row113\",\n \"shadow_mem_row47\",\n \"shadow_mem_row145\",\n \"shadow_mem_row162\",\n \"shadow_mem_row168\",\n \"shadow_mem_row119\",\n \"shadow_mem_row124\",\n \"shadow_mem_row127\",\n \"shadow_mem_row165\",\n \"shadow_mem_row218\",\n \"shadow_mem_row6\",\n \"shadow_mem_row137\",\n \"shadow_mem_row177\",\n \"shadow_mem_row232\"\n ],\n \"mapping_statistics\": {\n \"rtl_signals\": 329,\n \"netlist_wires\": 63,\n \"netlist_cells\": 0,\n \"mapped_signals\": 64,\n \"unmapped_signals\": 265\n },\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"nv_ram_rwst_256x8\",\n \"port_count\": {\n \"inputs\": 16,\n \"outputs\": 2,\n \"inouts\": 0,\n \"total\": 18\n },\n \"signal_count\": {\n \"wires\": 311,\n \"regs\": 7,\n \"parameters\": 1,\n \"total\": 318\n },\n \"always_blocks\": 0,\n \"assign_statements\": 0,\n \"instantiations\": [\n \"NV_BLKBOX_SRC0_X\",\n \"RAMDP_256X8_GL_M2_E2\",\n \"RANDFUNC\",\n \"AN2D4PO4\",\n \"NV_BLKBOX_SINK\",\n \"NV_BLKBOX_SRC0\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 603,\n \"total_lines\": 694,\n \"cyclomatic_complexity\": 16,\n \"nesting_depth\": 18,\n \"operator_count\": 594\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "category": "multi_tool", "subcategory": "cross_stage_mapper+static_analyzer", "difficulty": "compositional", "question_hash": "490e1170d381", "stage1_target": "[{\"tool\": \"cross_stage_mapper\", \"parameters\": {}}, {\"tool\": \"static_analyzer\", \"parameters\": {\"analysis_type\": \"full\"}}]", "stage2_context": "Question: For nv_ram_rwst_256x8, how well does the RTL line up with the synthesized netlist, and how does that relate to the module's structure? Report the RTL-to-netlist alignment score and the number of unmapped signals, then explain them using the instantiated macros and the wire/reg counts from the static analysis.\n\n[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"mbist_en_sync\": [\n \"mbist_en_sync\",\n \"pre_mbist_en_sync\"\n ],\n \"shadow_mem_row203\": [],\n \"shadow_mem_row85\": [],\n \"shadow_mem_row184\": [],\n \"shadow_mem_row187\": [],\n \"shadow_mem_row107\": [],\n \"mbist_ce_r0\": [\n \"mbist_ce_r0\",\n \"pre_mbist_ce_r0\"\n ],\n \"shadow_mem_row29\": [],\n \"shadow_mem_row113\": [],\n \"shadow_mem_row47\": [],\n\n...[11251 chars elided]...\ndebug_mode\"\n ],\n \"write_inh\": [\n \"pre_write_inh\",\n \"write_inh\"\n ],\n \"shadow_mem_row142\": [],\n \"shadow_mem_row39\": []\n },\n \"alignment_score\": 19.45,\n \"unmapped_elements\": [\n \"shadow_mem_row203\",\n \"shadow_mem_row85\",\n \"shadow_mem_row184\",\n \"shadow_mem_row187\",\n \"shadow_mem_row107\",\n \"shadow_mem_row29\",\n \"shadow_mem_row113\",\n \"shadow_mem_row47\",\n \"shadow_mem_row145\",\n \"shadow_mem_row162\",\n \"shadow_mem_row168\",\n \"shadow_mem_row119\",\n \"shadow_mem_row124\",\n \"shadow_mem_row127\",\n \"shadow_mem_row165\",\n \"shadow_mem_row218\",\n \"shadow_mem_row6\",\n \"shadow_mem_row137\",\n \"shadow_mem_row177\",\n \"shadow_mem_row232\"\n ],\n \"mapping_statistics\": {\n \"rtl_signals\": 329,\n \"netlist_wires\": 63,\n \"netlist_cells\": 0,\n \"mapped_signals\": 64,\n \"unmapped_signals\": 265\n },\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"nv_ram_rwst_256x8\",\n \"port_count\": {\n \"inputs\": 16,\n \"outputs\": 2,\n \"inouts\": 0,\n \"total\": 18\n },\n \"signal_count\": {\n \"wires\": 311,\n \"regs\": 7,\n \"parameters\": 1,\n \"total\": 318\n },\n \"always_blocks\": 0,\n \"assign_statements\": 0,\n \"instantiations\": [\n \"NV_BLKBOX_SRC0_X\",\n \"RAMDP_256X8_GL_M2_E2\",\n \"RANDFUNC\",\n \"AN2D4PO4\",\n \"NV_BLKBOX_SINK\",\n \"NV_BLKBOX_SRC0\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 603,\n \"total_lines\": 694,\n \"cyclomatic_complexity\": 16,\n \"nesting_depth\": 18,\n \"operator_count\": 594\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "plan_id": "163af8e44424", "design_id": "6704c1d3f4b3", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/nvdla/hw", "commit": "8e06b1b9d85aab65b40d43d08eec5ea4681ff715", "path": "vmod/rams/synth/nv_ram_rwst_256x8.v", "sha256": "ce02dd75c3ed6f04c6e0c377c770a72bbcae35108db5f7169786cc0535a1771e"}} {"question": "In the pll module, the RTL output clkos does not map to any netlist element, and the synthesized design has only one cell. How does that single primitive explain the RTL-to-netlist alignment result, and what are the synthesized area and delay figures?", "answer": "The pll module synthesizes to a single EHXPLLL cell (gate_count 1, area 1.0, delay 50.0) with 5 wires. The RTL-to-netlist alignment score is 83.33, with 5 of 6 RTL signals mapped. clkos is the only unmapped element, which suggests the secondary output was not connected to the hard PLL primitive, while clko maps onto clkop.", "source_file": "github_repos/olofk_serv/servant/ecppll.v", "module_name": "pll", "tool_name": "cross_stage_mapper+synthesis_tool", "tool_parameters": [{}, {"optimization_level": "medium"}], "tool_result": "[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"locked\": [\n \"locked\"\n ],\n \"clkfb\": [\n \"clkfb\"\n ],\n \"clkop\": [\n \"clkop\"\n ],\n \"clki\": [\n \"clki\"\n ],\n \"clkos\": [],\n \"clko\": [\n \"clkop\",\n \"clko\"\n ]\n },\n \"alignment_score\": 83.33,\n \"unmapped_elements\": [\n \"clkos\"\n ],\n \"mapping_statistics\": {\n \"rtl_signals\": 6,\n \"netlist_wires\": 5,\n \"netlist_cells\": 0,\n \"mapped_signals\": 5,\n \"unmapped_signals\": 1\n },\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 1.0,\n \"delay\": 50.0,\n \"power\": 0.001,\n \"gate_count\": 1,\n \"cell_breakdown\": {\n \"EHXPLLL\": 1\n },\n \"wire_count\": 5,\n \"wire_bits\": 5,\n \"critical_path_estimate\": 50.0,\n...[1071 chars elided]...\n \"error\": null\n}", "category": "multi_tool", "subcategory": "cross_stage_mapper+synthesis_tool", "difficulty": "compositional", "question_hash": "56484f522a23", "stage1_target": "[{\"tool\": \"cross_stage_mapper\", \"parameters\": {}}, {\"tool\": \"synthesis_tool\", \"parameters\": {\"optimization_level\": \"medium\"}}]", "stage2_context": "Question: In the pll module, the RTL output clkos does not map to any netlist element, and the synthesized design has only one cell. How does that single primitive explain the RTL-to-netlist alignment result, and what are the synthesized area and delay figures?\n\n[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"locked\": [\n \"locked\"\n ],\n \"clkfb\": [\n \"clkfb\"\n ],\n \"clkop\": [\n \"clkop\"\n ],\n \"clki\": [\n \"clki\"\n ],\n \"clkos\": [],\n \"clko\": [\n \"clkop\",\n \"clko\"\n ]\n },\n \"alignment_score\": 83.33,\n \"unmapped_elements\": [\n \"clkos\"\n ],\n \"mapping_statistics\": {\n \"rtl_signals\": 6,\n \"netlist_wires\": 5,\n \"netlist_cells\": 0,\n \"mapped_signals\": 5,\n \"unmapped_signals\": 1\n },\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 1.0,\n \"delay\": 50.0,\n \"power\": 0.001,\n \"gate_count\": 1,\n \"cell_breakdown\": {\n \"EHXPLLL\": 1\n },\n \"wire_count\": 5,\n \"wire_bits\": 5,\n \"critical_path_estimate\": 50.0,\n...[1071 chars elided]...\n \"error\": null\n}", "plan_id": "4bc64b34116b", "design_id": "67724c1ef87b", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/olofk/serv", "commit": "f200eb2ed7b69ac1c6b8eddd47654522aeee5ce8", "path": "servant/ecppll.v", "sha256": "9a5d1328eec013398fd69d835a11cc413378d935dc94ac4b0adff68626dc230f"}} {"question": "For servant_ax309_clock_gen, the CDFG shows a PLL and only a few register nodes, and the code review reports one always block. Do those two views agree on how much sequential logic sits around the PLL, and how big and complex is the module overall?", "answer": "They agree: the CDFG for servant_ax309_clock_gen has 9 nodes and 16 edges, with 1 PLL_BASE plus 2 $dff nodes, and the code review likewise finds 2 regs in its 1 always block. The module is small and simple, with 31 lines of code, a cyclomatic complexity of 1 and no lint warnings.", "source_file": "github_repos/olofk_serv/servant/servant_ax309_clock_gen.v", "module_name": "servant_ax309_clock_gen", "tool_name": "graph_extractor+static_analyzer", "tool_parameters": [{"graph_type": "CDFG"}, {"analysis_type": "full"}], "tool_result": "[graph_extractor {\"graph_type\": \"CDFG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"CDFG\",\n...[2626 chars elided]...\n \"node_count\": 9,\n \"edge_count\": 16,\n \"graph_properties\": {\n \"node_types\": {\n \"$not\": 1,\n \"$logic_not\": 1,\n \"$dff\": 2,\n \"PLL_BASE\": 1,\n \"port_input\": 2,\n \"port_output\": 2\n },\n \"avg_degree\": 1.78,\n \"module_name\": \"servant_ax309_clock_gen\"\n },\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"servant_ax309_clock_gen\",\n \"port_count\": {\n \"inputs\": 2,\n \"outputs\": 2,\n \"inouts\": 0,\n \"total\": 4\n },\n \"signal_count\": {\n \"wires\": 5,\n \"regs\": 2,\n \"parameters\": 0,\n \"total\": 7\n },\n \"always_blocks\": 1,\n \"assign_statements\": 0,\n \"instantiations\": [],\n \"code_complexity\": {\n \"lines_of_code\": 31,\n \"total_lines\": 36,\n \"cyclomatic_complexity\": 1,\n \"nesting_depth\": 1,\n \"operator_count\": 9\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "category": "multi_tool", "subcategory": "graph_extractor+static_analyzer", "difficulty": "compositional", "question_hash": "1f50c0daa4ae", "stage1_target": "[{\"tool\": \"graph_extractor\", \"parameters\": {\"graph_type\": \"CDFG\"}}, {\"tool\": \"static_analyzer\", \"parameters\": {\"analysis_type\": \"full\"}}]", "stage2_context": "Question: For servant_ax309_clock_gen, the CDFG shows a PLL and only a few register nodes, and the code review reports one always block. Do those two views agree on how much sequential logic sits around the PLL, and how big and complex is the module overall?\n\n[graph_extractor {\"graph_type\": \"CDFG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"CDFG\",\n...[2626 chars elided]...\n \"node_count\": 9,\n \"edge_count\": 16,\n \"graph_properties\": {\n \"node_types\": {\n \"$not\": 1,\n \"$logic_not\": 1,\n \"$dff\": 2,\n \"PLL_BASE\": 1,\n \"port_input\": 2,\n \"port_output\": 2\n },\n \"avg_degree\": 1.78,\n \"module_name\": \"servant_ax309_clock_gen\"\n },\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"servant_ax309_clock_gen\",\n \"port_count\": {\n \"inputs\": 2,\n \"outputs\": 2,\n \"inouts\": 0,\n \"total\": 4\n },\n \"signal_count\": {\n \"wires\": 5,\n \"regs\": 2,\n \"parameters\": 0,\n \"total\": 7\n },\n \"always_blocks\": 1,\n \"assign_statements\": 0,\n \"instantiations\": [],\n \"code_complexity\": {\n \"lines_of_code\": 31,\n \"total_lines\": 36,\n \"cyclomatic_complexity\": 1,\n \"nesting_depth\": 1,\n \"operator_count\": 9\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "plan_id": "ba78ebc99937", "design_id": "665ec29d5cd9", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/olofk/serv", "commit": "f200eb2ed7b69ac1c6b8eddd47654522aeee5ce8", "path": "servant/servant_ax309_clock_gen.v", "sha256": "e20ac1e2b00181f206cfa92b6f8d26a91b923f5be29bf68dbcfef48be9c97d2f"}} {"question": "For sirv_qspi_arbiter, how well do the RTL signals carry over to the netlist, and does the control/data flow graph (CDFG) suggest a mostly combinational multiplexing design with very few state elements?", "answer": "sirv_qspi_arbiter maps 104 of its 109 RTL signals to the netlist, an alignment score of 95.41, and only 5 signals stay unmapped, including GEN_5 and T_452. Its CDFG has 74 nodes and 280 edges and is dominated by 14 $mux nodes, with only 2 $adffe registers, so the design is mostly combinational multiplexing with very little state.", "source_file": "github_repos/riscv-mcu_e203_hbirdv2/rtl/e203/perips/sirv_qspi_arbiter.v", "module_name": "sirv_qspi_arbiter", "tool_name": "cross_stage_mapper+graph_extractor", "tool_parameters": [{}, {"graph_type": "CDFG"}], "tool_result": "[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"T_389\": [\n \"T_389\"\n ],\n \"T_372\": [\n \"T_372\"\n ],\n \"io_inner_0_lock\": [\n \"io_inner_0_lock\"\n ],\n \"io_outer_cs_hold\": [\n \"io_outer_cs_hold\"\n ],\n \"io_inner_0_cs_hold\": [\n \"io_inner_0_cs_hold\"\n ],\n \"io_inner_1_tx_valid\": [\n \"io_inner_1_tx_valid\"\n ],\n \"T_424\": [\n \"T_424\"\n ],\n \"T_427\": [\n \"T_427\"\n \n...[4054 chars elided]...\nt\": [\n \"io_outer_cnt\"\n ],\n \"io_inner_1_tx_bits\": [\n \"io_inner_1_tx_bits\"\n ],\n \"T_370\": [\n \"T_370\"\n ],\n \"T_388\": [\n \"T_388\"\n ],\n \"io_inner_0_rx_valid\": [\n \"io_inner_0_rx_valid\"\n ],\n \"sel_0\": [\n \"nsel_0\"\n ],\n \"io_outer_fmt_proto\": [\n \"io_outer_fmt_proto\"\n ],\n \"T_422\": [\n \"T_422\"\n ],\n \"T_354\": [\n \"T_354\"\n ],\n \"T_391\": [\n \"T_391\"\n ],\n \"T_351\": [\n \"T_351\"\n ],\n \"T_379\": [\n \"T_379\"\n ],\n \"io_inner_1_cs_hold\": [\n \"io_inner_1_cs_hold\"\n ]\n },\n \"alignment_score\": 95.41,\n \"unmapped_elements\": [\n \"GEN_5\",\n \"T_452\",\n \"GEN_2\",\n \"GEN_1\",\n \"GEN_4\"\n ],\n \"mapping_statistics\": {\n \"rtl_signals\": 109,\n \"netlist_wires\": 249,\n \"netlist_cells\": 0,\n \"mapped_signals\": 104,\n \"unmapped_signals\": 5\n },\n \"error\": null\n}\n\n[graph_extractor {\"graph_type\": \"CDFG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"CDFG\",\n...[36422 chars elided]...\n \"node_count\": 74,\n \"edge_count\": 280,\n \"graph_properties\": {\n \"node_types\": {\n \"$mux\": 14,\n \"$or\": 6,\n \"$and\": 6,\n \"$not\": 1,\n \"$ne\": 1,\n \"$adffe\": 2,\n \"port_input\": 27,\n \"port_output\": 17\n },\n \"avg_degree\": 3.78,\n \"module_name\": \"sirv_qspi_arbiter\"\n },\n \"error\": null\n}", "category": "multi_tool", "subcategory": "cross_stage_mapper+graph_extractor", "difficulty": "compositional", "question_hash": "bb25ae3adf1c", "stage1_target": "[{\"tool\": \"cross_stage_mapper\", \"parameters\": {}}, {\"tool\": \"graph_extractor\", \"parameters\": {\"graph_type\": \"CDFG\"}}]", "stage2_context": "Question: For sirv_qspi_arbiter, how well do the RTL signals carry over to the netlist, and does the control/data flow graph (CDFG) suggest a mostly combinational multiplexing design with very few state elements?\n\n[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"T_389\": [\n \"T_389\"\n ],\n \"T_372\": [\n \"T_372\"\n ],\n \"io_inner_0_lock\": [\n \"io_inner_0_lock\"\n ],\n \"io_outer_cs_hold\": [\n \"io_outer_cs_hold\"\n ],\n \"io_inner_0_cs_hold\": [\n \"io_inner_0_cs_hold\"\n ],\n \"io_inner_1_tx_valid\": [\n \"io_inner_1_tx_valid\"\n ],\n \"T_424\": [\n \"T_424\"\n ],\n \"T_427\": [\n \"T_427\"\n \n...[4054 chars elided]...\nt\": [\n \"io_outer_cnt\"\n ],\n \"io_inner_1_tx_bits\": [\n \"io_inner_1_tx_bits\"\n ],\n \"T_370\": [\n \"T_370\"\n ],\n \"T_388\": [\n \"T_388\"\n ],\n \"io_inner_0_rx_valid\": [\n \"io_inner_0_rx_valid\"\n ],\n \"sel_0\": [\n \"nsel_0\"\n ],\n \"io_outer_fmt_proto\": [\n \"io_outer_fmt_proto\"\n ],\n \"T_422\": [\n \"T_422\"\n ],\n \"T_354\": [\n \"T_354\"\n ],\n \"T_391\": [\n \"T_391\"\n ],\n \"T_351\": [\n \"T_351\"\n ],\n \"T_379\": [\n \"T_379\"\n ],\n \"io_inner_1_cs_hold\": [\n \"io_inner_1_cs_hold\"\n ]\n },\n \"alignment_score\": 95.41,\n \"unmapped_elements\": [\n \"GEN_5\",\n \"T_452\",\n \"GEN_2\",\n \"GEN_1\",\n \"GEN_4\"\n ],\n \"mapping_statistics\": {\n \"rtl_signals\": 109,\n \"netlist_wires\": 249,\n \"netlist_cells\": 0,\n \"mapped_signals\": 104,\n \"unmapped_signals\": 5\n },\n \"error\": null\n}\n\n[graph_extractor {\"graph_type\": \"CDFG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"CDFG\",\n...[36422 chars elided]...\n \"node_count\": 74,\n \"edge_count\": 280,\n \"graph_properties\": {\n \"node_types\": {\n \"$mux\": 14,\n \"$or\": 6,\n \"$and\": 6,\n \"$not\": 1,\n \"$ne\": 1,\n \"$adffe\": 2,\n \"port_input\": 27,\n \"port_output\": 17\n },\n \"avg_degree\": 3.78,\n \"module_name\": \"sirv_qspi_arbiter\"\n },\n \"error\": null\n}", "plan_id": "4fd5d6162a85", "design_id": "67db939bd77c", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/riscv-mcu/e203_hbirdv2", "commit": "9f3e34f337f5d0a1236a285871ffa2032491617a", "path": "rtl/e203/perips/sirv_qspi_arbiter.v", "sha256": "fbe04b6e1969c2297009d5797b4ab83c412311d75d7dc599aa2e97396daff370"}} {"question": "For sirv_AsyncResetReg, does the synthesized netlist at medium optimization explain why the RTL signals 'reg' and 'q' could not be mapped to the netlist? Please summarize the mapping alignment and the resulting cell usage, area and delay.", "answer": "In sirv_AsyncResetReg, only en, rst, clk and d were mapped, giving an alignment score of 66.67 with 'reg' and 'q' unmapped. This fits the synthesis result: the register was absorbed into a single $_DFFE_PP0P_ cell (gate_count 1, area 1.0, delay 50.0), so the internal register and its output don't appear under their RTL names.", "source_file": "github_repos/riscv-mcu_e203_hbirdv2/rtl/e203/perips/sirv_AsyncResetReg.v", "module_name": "sirv_AsyncResetReg", "tool_name": "cross_stage_mapper+synthesis_tool", "tool_parameters": [{}, {"optimization_level": "medium"}], "tool_result": "[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"en\": [\n \"en\"\n ],\n \"rst\": [\n \"rst\"\n ],\n \"reg\": [],\n \"clk\": [\n \"clk\"\n ],\n \"d\": [\n \"d\"\n ],\n \"q\": []\n },\n \"alignment_score\": 66.67,\n \"unmapped_elements\": [\n \"reg\",\n \"q\"\n ],\n \"mapping_statistics\": {\n \"rtl_signals\": 6,\n \"netlist_wires\": 4,\n \"netlist_cells\": 0,\n \"mapped_signals\": 4,\n \"unmapped_signals\": 2\n },\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 1.0,\n \"delay\": 50.0,\n \"power\": 0.001,\n \"gate_count\": 1,\n \"cell_breakdown\": {\n \"$_DFFE_PP0P_\": 1\n },\n \"wire_count\": 5,\n \"wire_bits\": 5,\n \"critical_path_estimate\": 50.0,\n...[1080 chars elided]...\n \"error\": null\n}", "category": "multi_tool", "subcategory": "cross_stage_mapper+synthesis_tool", "difficulty": "compositional", "question_hash": "a1cfc054022d", "stage1_target": "[{\"tool\": \"cross_stage_mapper\", \"parameters\": {}}, {\"tool\": \"synthesis_tool\", \"parameters\": {\"optimization_level\": \"medium\"}}]", "stage2_context": "Question: For sirv_AsyncResetReg, does the synthesized netlist at medium optimization explain why the RTL signals 'reg' and 'q' could not be mapped to the netlist? Please summarize the mapping alignment and the resulting cell usage, area and delay.\n\n[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"en\": [\n \"en\"\n ],\n \"rst\": [\n \"rst\"\n ],\n \"reg\": [],\n \"clk\": [\n \"clk\"\n ],\n \"d\": [\n \"d\"\n ],\n \"q\": []\n },\n \"alignment_score\": 66.67,\n \"unmapped_elements\": [\n \"reg\",\n \"q\"\n ],\n \"mapping_statistics\": {\n \"rtl_signals\": 6,\n \"netlist_wires\": 4,\n \"netlist_cells\": 0,\n \"mapped_signals\": 4,\n \"unmapped_signals\": 2\n },\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 1.0,\n \"delay\": 50.0,\n \"power\": 0.001,\n \"gate_count\": 1,\n \"cell_breakdown\": {\n \"$_DFFE_PP0P_\": 1\n },\n \"wire_count\": 5,\n \"wire_bits\": 5,\n \"critical_path_estimate\": 50.0,\n...[1080 chars elided]...\n \"error\": null\n}", "plan_id": "699318c389ca", "design_id": "69b7a9dc9815", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/riscv-mcu/e203_hbirdv2", "commit": "9f3e34f337f5d0a1236a285871ffa2032491617a", "path": "rtl/e203/perips/sirv_AsyncResetReg.v", "sha256": "2ca876742ad8590abe6544097ab30054b91e6adae7a6d3976b5941714efe25d9"}} {"question": "For NV_NVDLA_SDP_rdma, does the CDFG agree with the medium-effort synthesis result about the module being mostly a thin wrapper with little glue logic? Compare the register count and number of submodule instances in the CDFG with the cell breakdown after synthesis, and give the synthesized area and delay.", "answer": "Yes. The CDFG of NV_NVDLA_SDP_rdma has 137 nodes, including 4 $adffe registers and one instance each of the brdma, erdma, mrdma, nrdma and RDMA_reg submodules, and synthesis keeps 4 $_DFFE_PN0P_ flops and the same five submodules. The rest of the glue logic synthesizes to 39 total cells, with an area of 41.5 and a delay of 149.3.", "source_file": "github_repos/nvdla_hw/vmod/nvdla/sdp/NV_NVDLA_SDP_rdma.v", "module_name": "NV_NVDLA_SDP_rdma", "tool_name": "graph_extractor+synthesis_tool", "tool_parameters": [{"graph_type": "CDFG"}, {"optimization_level": "medium"}], "tool_result": "[graph_extractor {\"graph_type\": \"CDFG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"CDFG\",\n...[102911 chars elided]...\n \"node_count\": 137,\n \"edge_count\": 8924,\n \"graph_properties\": {\n \"node_types\": {\n \"$and\": 12,\n \"$not\": 8,\n \"$logic_or\": 8,\n \"$adffe\": 4,\n \"$reduce_bool\": 4,\n \"$mux\": 8,\n \"NV_NVDLA_SDP_brdma\": 1,\n \"NV_NVDLA_SDP_erdma\": 1,\n \"NV_NVDLA_SDP_mrdma\": 1,\n \"NV_NVDLA_SDP_nrdma\": 1,\n \"NV_NVDLA_SDP_RDMA_reg\": 1,\n \"port_input\": 39,\n \"port_output\": 49\n },\n \"avg_degree\": 65.14,\n \"module_name\": \"NV_NVDLA_SDP_rdma\"\n },\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 41.5,\n \"delay\": 149.3,\n \"power\": 0.039,\n \"gate_count\": 39,\n \"cell_breakdown\": {\n \"$_ANDNOT_\": 8,\n \"$_AND_\": 7,\n \"$_DFFE_PN0P_\": 4,\n \"$_NOT_\": 3,\n \"$_OR_\": 12,\n \"NV_NVDLA_SDP_RDMA_reg\": 1,\n \"NV_NVDLA_SDP_brdma\": 1,\n \"NV_NVDLA_SDP_erdma\": 1,\n \"NV_NVDLA_SDP_mrdma\": 1,\n \"NV_NVDLA_SDP_nrdma\": 1\n },\n \"wire_count\": 188,\n \"wire_bits\": 7840,\n \"critical_path_estimate\": 1\n...[1338 chars elided]...\n \"error\": null\n}", "category": "multi_tool", "subcategory": "graph_extractor+synthesis_tool", "difficulty": "compositional", "question_hash": "175a2d5aad1c", "stage1_target": "[{\"tool\": \"graph_extractor\", \"parameters\": {\"graph_type\": \"CDFG\"}}, {\"tool\": \"synthesis_tool\", \"parameters\": {\"optimization_level\": \"medium\"}}]", "stage2_context": "Question: For NV_NVDLA_SDP_rdma, does the CDFG agree with the medium-effort synthesis result about the module being mostly a thin wrapper with little glue logic? Compare the register count and number of submodule instances in the CDFG with the cell breakdown after synthesis, and give the synthesized area and delay.\n\n[graph_extractor {\"graph_type\": \"CDFG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"CDFG\",\n...[102911 chars elided]...\n \"node_count\": 137,\n \"edge_count\": 8924,\n \"graph_properties\": {\n \"node_types\": {\n \"$and\": 12,\n \"$not\": 8,\n \"$logic_or\": 8,\n \"$adffe\": 4,\n \"$reduce_bool\": 4,\n \"$mux\": 8,\n \"NV_NVDLA_SDP_brdma\": 1,\n \"NV_NVDLA_SDP_erdma\": 1,\n \"NV_NVDLA_SDP_mrdma\": 1,\n \"NV_NVDLA_SDP_nrdma\": 1,\n \"NV_NVDLA_SDP_RDMA_reg\": 1,\n \"port_input\": 39,\n \"port_output\": 49\n },\n \"avg_degree\": 65.14,\n \"module_name\": \"NV_NVDLA_SDP_rdma\"\n },\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 41.5,\n \"delay\": 149.3,\n \"power\": 0.039,\n \"gate_count\": 39,\n \"cell_breakdown\": {\n \"$_ANDNOT_\": 8,\n \"$_AND_\": 7,\n \"$_DFFE_PN0P_\": 4,\n \"$_NOT_\": 3,\n \"$_OR_\": 12,\n \"NV_NVDLA_SDP_RDMA_reg\": 1,\n \"NV_NVDLA_SDP_brdma\": 1,\n \"NV_NVDLA_SDP_erdma\": 1,\n \"NV_NVDLA_SDP_mrdma\": 1,\n \"NV_NVDLA_SDP_nrdma\": 1\n },\n \"wire_count\": 188,\n \"wire_bits\": 7840,\n \"critical_path_estimate\": 1\n...[1338 chars elided]...\n \"error\": null\n}", "plan_id": "350d3df967df", "design_id": "6a0edcb27cde", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/nvdla/hw", "commit": "8e06b1b9d85aab65b40d43d08eec5ea4681ff715", "path": "vmod/nvdla/sdp/NV_NVDLA_SDP_rdma.v", "sha256": "5dddab9062e85c9f4eec2997f433aec29c6c4da8e9cc97982877d512efd98065"}} {"question": "For NV_NVDLA_PDP_CORE_preproc, how much area reduction can I expect from the recommended area-targeted optimization flow? And given how much sequential logic and control complexity the module has, what delay penalty should I be prepared for?", "answer": "For NV_NVDLA_PDP_CORE_preproc, the area-targeted flow (including 'share -aggressive' and 'muxcover') is estimated to change area by -15.0 and delay by 5.0, so area should go down while delay goes up. That trade-off is plausible for a module with 63 regs, 37 always blocks and a cyclomatic complexity of 182: its heavy mux-based control logic is where sharing saves area, but sharing also lengthens paths and adds routing complexity.", "source_file": "github_repos/nvdla_hw/vmod/nvdla/pdp/NV_NVDLA_PDP_CORE_preproc.v", "module_name": "NV_NVDLA_PDP_CORE_preproc", "tool_name": "optimization_advisor+static_analyzer", "tool_parameters": [{"target_metric": "area"}, {"analysis_type": "full"}], "tool_result": "[optimization_advisor {\"target_metric\": \"area\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"area\",\n \"recommended_recipes\": [\n \"synth -top NV_NVDLA_PDP_CORE_preproc -flatten\",\n \"opt -full; share -aggressive; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean -purge\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"memory_optimization\",\n \"description\": \"Consider using memory inference for large arrays\",\n \"command\": \"memory -nomap; memory_bram\"\n },\n {\n \"type\": \"mux_optimization\",\n \"description\": \"Share multiplexers where possible\",\n \"command\": \"muxcover; opt\"\n },\n {\n \"type\": \"resource_sharing\",\n \"description\": \"Share arithmetic operators\",\n \"command\": \"share -aggressive\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": -15.0,\n \"delay\": 5.0,\n \"power\": -10.0\n },\n \"trade_offs\": [\n \"Area optimization may increase delay\",\n \"Aggressive sharing increases routing complexity\"\n ],\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"NV_NVDLA_PDP_CORE_preproc\",\n \"port_count\": {\n \"inputs\": 33,\n \"outputs\": 10,\n \"inouts\": 0,\n \"total\": 43\n },\n \"signal_count\": {\n \"wires\": 67,\n \"regs\": 63,\n \"parameters\": 1,\n \"total\": 130\n },\n \"always_blocks\": 37,\n \"assign_statements\": 52,\n \"instantiations\": [\n \"random\",\n \"the\",\n \"cover\",\n \"Clock\",\n \"define\",\n \"NV_NVDLA_PDP_SDPIN_ro_fifo_flopram_rwsa_4x64\",\n \"fifo\",\n \"NV_NVDLA_PDP_SDPIN_ro_fifo\",\n \"set_boundary_optimization\",\n \"perfmon_histogram\",\n \"deprecated\",\n \"NV_CLK_gate_power\",\n \"of\",\n \"PRAND_VERILOG\",\n \"SYNTH_LEVEL1_COMPILE\",\n \"NV_BLKBOX_SINK\",\n \"vmw_NV_NVDLA_PDP_SDPIN_ro_fifo_flopram_rwsa_4x64\",\n \"NV_BLKBOX_SRC0\",\n \"disable\",\n \"dangles\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 1016,\n \"total_lines\": 1423,\n \"cyclomatic_complexity\": 182,\n \"nesting_depth\": 127,\n \"operator_count\": 2272\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "category": "multi_tool", "subcategory": "optimization_advisor+static_analyzer", "difficulty": "compositional", "question_hash": "5d581babc7fc", "stage1_target": "[{\"tool\": \"optimization_advisor\", \"parameters\": {\"target_metric\": \"area\"}}, {\"tool\": \"static_analyzer\", \"parameters\": {\"analysis_type\": \"full\"}}]", "stage2_context": "Question: For NV_NVDLA_PDP_CORE_preproc, how much area reduction can I expect from the recommended area-targeted optimization flow? And given how much sequential logic and control complexity the module has, what delay penalty should I be prepared for?\n\n[optimization_advisor {\"target_metric\": \"area\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"area\",\n \"recommended_recipes\": [\n \"synth -top NV_NVDLA_PDP_CORE_preproc -flatten\",\n \"opt -full; share -aggressive; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean -purge\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"memory_optimization\",\n \"description\": \"Consider using memory inference for large arrays\",\n \"command\": \"memory -nomap; memory_bram\"\n },\n {\n \"type\": \"mux_optimization\",\n \"description\": \"Share multiplexers where possible\",\n \"command\": \"muxcover; opt\"\n },\n {\n \"type\": \"resource_sharing\",\n \"description\": \"Share arithmetic operators\",\n \"command\": \"share -aggressive\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": -15.0,\n \"delay\": 5.0,\n \"power\": -10.0\n },\n \"trade_offs\": [\n \"Area optimization may increase delay\",\n \"Aggressive sharing increases routing complexity\"\n ],\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"NV_NVDLA_PDP_CORE_preproc\",\n \"port_count\": {\n \"inputs\": 33,\n \"outputs\": 10,\n \"inouts\": 0,\n \"total\": 43\n },\n \"signal_count\": {\n \"wires\": 67,\n \"regs\": 63,\n \"parameters\": 1,\n \"total\": 130\n },\n \"always_blocks\": 37,\n \"assign_statements\": 52,\n \"instantiations\": [\n \"random\",\n \"the\",\n \"cover\",\n \"Clock\",\n \"define\",\n \"NV_NVDLA_PDP_SDPIN_ro_fifo_flopram_rwsa_4x64\",\n \"fifo\",\n \"NV_NVDLA_PDP_SDPIN_ro_fifo\",\n \"set_boundary_optimization\",\n \"perfmon_histogram\",\n \"deprecated\",\n \"NV_CLK_gate_power\",\n \"of\",\n \"PRAND_VERILOG\",\n \"SYNTH_LEVEL1_COMPILE\",\n \"NV_BLKBOX_SINK\",\n \"vmw_NV_NVDLA_PDP_SDPIN_ro_fifo_flopram_rwsa_4x64\",\n \"NV_BLKBOX_SRC0\",\n \"disable\",\n \"dangles\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 1016,\n \"total_lines\": 1423,\n \"cyclomatic_complexity\": 182,\n \"nesting_depth\": 127,\n \"operator_count\": 2272\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "plan_id": "aa8c9cdd48f3", "design_id": "6ac2c06c73e9", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/nvdla/hw", "commit": "8e06b1b9d85aab65b40d43d08eec5ea4681ff715", "path": "vmod/nvdla/pdp/NV_NVDLA_PDP_CORE_preproc.v", "sha256": "6806e5b5e96dadd921f3d66fc614923cc39b50436598bdd27edf9fbde1105b7d"}} {"question": "The CDFG of NV_NVDLA_CDP_slcg shows how its clock-enable logic feeds the gated clock cell. If I run a power-targeted optimization on this module, is adding more clock gating actually worth it given the structure that's already there? What power gain is estimated, and what does it cost?", "answer": "The CDFG for NV_NVDLA_CDP_slcg has 11 nodes and 13 edges, made up of 3 $or nodes that feed the enable of 1 NV_CLK_gate_power cell (clk_en), so the module is already a clock gate. Power optimization estimates a power change of -25.0 using a recipe that includes 'opt_clean; clockgate'. Because the gating structure already exists, that gain is unlikely to be fully realized, and it comes with an area change of 5.0, a delay change of 5.0, and the trade-off that 'Clock gating adds timing complexity'.", "source_file": "github_repos/nvdla_hw/vmod/nvdla/cdp/NV_NVDLA_CDP_slcg.v", "module_name": "NV_NVDLA_CDP_slcg", "tool_name": "graph_extractor+optimization_advisor", "tool_parameters": [{"graph_type": "CDFG"}, {"target_metric": "power"}], "tool_result": "[graph_extractor {\"graph_type\": \"CDFG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"CDFG\",\n...[2752 chars elided]...\n \"node_count\": 11,\n \"edge_count\": 13,\n \"graph_properties\": {\n \"node_types\": {\n \"$or\": 3,\n \"NV_CLK_gate_power\": 1,\n \"port_input\": 6,\n \"port_output\": 1\n },\n \"avg_degree\": 1.18,\n \"module_name\": \"NV_NVDLA_CDP_slcg\"\n },\n \"error\": null\n}\n\n[optimization_advisor {\"target_metric\": \"power\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"power\",\n \"recommended_recipes\": [\n \"synth -top NV_NVDLA_CDP_slcg\",\n \"opt; share; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean; clockgate\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"clock_gating\",\n \"description\": \"Insert clock gating for registers\",\n \"command\": \"clockgate\"\n },\n {\n \"type\": \"operand_isolation\",\n \"description\": \"Isolate operands when not in use\",\n \"command\": \"Use enable signals for arithmetic\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": 5.0,\n \"delay\": 5.0,\n \"power\": -25.0\n },\n \"trade_offs\": [\n \"Power optimization may add area overhead\",\n \"Clock gating adds timing complexity\"\n ],\n \"error\": null\n}", "category": "multi_tool", "subcategory": "graph_extractor+optimization_advisor", "difficulty": "compositional", "question_hash": "04fe71135ac6", "stage1_target": "[{\"tool\": \"graph_extractor\", \"parameters\": {\"graph_type\": \"CDFG\"}}, {\"tool\": \"optimization_advisor\", \"parameters\": {\"target_metric\": \"power\"}}]", "stage2_context": "Question: The CDFG of NV_NVDLA_CDP_slcg shows how its clock-enable logic feeds the gated clock cell. If I run a power-targeted optimization on this module, is adding more clock gating actually worth it given the structure that's already there? What power gain is estimated, and what does it cost?\n\n[graph_extractor {\"graph_type\": \"CDFG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"CDFG\",\n...[2752 chars elided]...\n \"node_count\": 11,\n \"edge_count\": 13,\n \"graph_properties\": {\n \"node_types\": {\n \"$or\": 3,\n \"NV_CLK_gate_power\": 1,\n \"port_input\": 6,\n \"port_output\": 1\n },\n \"avg_degree\": 1.18,\n \"module_name\": \"NV_NVDLA_CDP_slcg\"\n },\n \"error\": null\n}\n\n[optimization_advisor {\"target_metric\": \"power\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"power\",\n \"recommended_recipes\": [\n \"synth -top NV_NVDLA_CDP_slcg\",\n \"opt; share; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean; clockgate\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"clock_gating\",\n \"description\": \"Insert clock gating for registers\",\n \"command\": \"clockgate\"\n },\n {\n \"type\": \"operand_isolation\",\n \"description\": \"Isolate operands when not in use\",\n \"command\": \"Use enable signals for arithmetic\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": 5.0,\n \"delay\": 5.0,\n \"power\": -25.0\n },\n \"trade_offs\": [\n \"Power optimization may add area overhead\",\n \"Clock gating adds timing complexity\"\n ],\n \"error\": null\n}", "plan_id": "fe878312ed6d", "design_id": "6acb5ff099a0", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/nvdla/hw", "commit": "8e06b1b9d85aab65b40d43d08eec5ea4681ff715", "path": "vmod/nvdla/cdp/NV_NVDLA_CDP_slcg.v", "sha256": "833cbef85adfe83081120f202ba7fb6d1a00edba4cdc3fe10d40a586b06433cb"}} {"question": "For NV_NVDLA_CDP_slcg, how much of the RTL signal set actually survives into the synthesized netlist, and is that consistent with the size of the gate-level result at medium optimization?", "answer": "Of NV_NVDLA_CDP_slcg's 28 RTL signals, only 9 map to the netlist and 19 are unmapped. These are mostly testpoint, monitor and clock-gating-override signals such as testpoint_0_count_0. That fits the very small synthesized result: 4 cells (1 $_NAND_, 2 $_NOR_ and 1 NV_CLK_gate_power), area 4.0 and 11 wires.", "source_file": "github_repos/nvdla_hw/vmod/nvdla/cdp/NV_NVDLA_CDP_slcg.v", "module_name": "NV_NVDLA_CDP_slcg", "tool_name": "cross_stage_mapper+synthesis_tool", "tool_parameters": [{}, {"optimization_level": "medium"}], "tool_result": "[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"assert2slcg_disable_clock_gating_0\": [],\n \"testpoint_got_reset_testpoint_0_internal_nvdla_core_rstn_with_clock_testpoint_0_internal_nvdla_core_clk\": [],\n \"testpoint_0_count_0\": [],\n \"dla_clk_ovr_on_sync\": [\n \"dla_clk_ovr_on_sync\"\n ],\n \"nvdla_core_clk_slcg_0_icg_override_to_gateable\": [],\n \"testpoint_0_internal_nvdla_core_clk\": [],\n \"enable\": [\n \n...[1374 chars elided]...\n0_count_0\",\n \"nvdla_core_clk_slcg_0_icg_override_to_gateable\",\n \"testpoint_0_internal_nvdla_core_clk\",\n \"nvdla_core_clk_slcg_0_icg_override_to_ungated\",\n \"testpoint_0_internal_nvdla_core_rstn\",\n \"nvdla_core_clk_slcg_0_icg_disable_eos\",\n \"done_monitor_0\",\n \"testpoint_1_count_0\",\n \"testpoint_1_internal_nvdla_core_clk\",\n \"testpoint_0_goal_0\",\n \"testpoint_1_goal_0\",\n \"testpoint_got_reset_testpoint_1_internal_nvdla_core_rstn_with_clock_testpoint_1_internal_nvdla_core_clk\",\n \"testpoint_1_internal_nvdla_core_rstn\",\n \"testpoint_0_goal_0_active\",\n \"testpoint_1_goal_0_active\",\n \"nvdla_core_clk_slcg_0_end_of_sim_clock_enable\",\n \"monitor_icg_summary_0\"\n ],\n \"mapping_statistics\": {\n \"rtl_signals\": 28,\n \"netlist_wires\": 18,\n \"netlist_cells\": 0,\n \"mapped_signals\": 9,\n \"unmapped_signals\": 19\n },\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 4.0,\n \"delay\": 64.42,\n \"power\": 0.004,\n \"gate_count\": 4,\n \"cell_breakdown\": {\n \"$_NAND_\": 1,\n \"$_NOR_\": 2,\n \"NV_CLK_gate_power\": 1\n },\n \"wire_count\": 11,\n \"wire_bits\": 11,\n \"critical_path_estimate\": 64.42,\n...[1127 chars elided]...\n \"error\": null\n}", "category": "multi_tool", "subcategory": "cross_stage_mapper+synthesis_tool", "difficulty": "compositional", "question_hash": "04da8de66efe", "stage1_target": "[{\"tool\": \"cross_stage_mapper\", \"parameters\": {}}, {\"tool\": \"synthesis_tool\", \"parameters\": {\"optimization_level\": \"medium\"}}]", "stage2_context": "Question: For NV_NVDLA_CDP_slcg, how much of the RTL signal set actually survives into the synthesized netlist, and is that consistent with the size of the gate-level result at medium optimization?\n\n[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"assert2slcg_disable_clock_gating_0\": [],\n \"testpoint_got_reset_testpoint_0_internal_nvdla_core_rstn_with_clock_testpoint_0_internal_nvdla_core_clk\": [],\n \"testpoint_0_count_0\": [],\n \"dla_clk_ovr_on_sync\": [\n \"dla_clk_ovr_on_sync\"\n ],\n \"nvdla_core_clk_slcg_0_icg_override_to_gateable\": [],\n \"testpoint_0_internal_nvdla_core_clk\": [],\n \"enable\": [\n \n...[1374 chars elided]...\n0_count_0\",\n \"nvdla_core_clk_slcg_0_icg_override_to_gateable\",\n \"testpoint_0_internal_nvdla_core_clk\",\n \"nvdla_core_clk_slcg_0_icg_override_to_ungated\",\n \"testpoint_0_internal_nvdla_core_rstn\",\n \"nvdla_core_clk_slcg_0_icg_disable_eos\",\n \"done_monitor_0\",\n \"testpoint_1_count_0\",\n \"testpoint_1_internal_nvdla_core_clk\",\n \"testpoint_0_goal_0\",\n \"testpoint_1_goal_0\",\n \"testpoint_got_reset_testpoint_1_internal_nvdla_core_rstn_with_clock_testpoint_1_internal_nvdla_core_clk\",\n \"testpoint_1_internal_nvdla_core_rstn\",\n \"testpoint_0_goal_0_active\",\n \"testpoint_1_goal_0_active\",\n \"nvdla_core_clk_slcg_0_end_of_sim_clock_enable\",\n \"monitor_icg_summary_0\"\n ],\n \"mapping_statistics\": {\n \"rtl_signals\": 28,\n \"netlist_wires\": 18,\n \"netlist_cells\": 0,\n \"mapped_signals\": 9,\n \"unmapped_signals\": 19\n },\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 4.0,\n \"delay\": 64.42,\n \"power\": 0.004,\n \"gate_count\": 4,\n \"cell_breakdown\": {\n \"$_NAND_\": 1,\n \"$_NOR_\": 2,\n \"NV_CLK_gate_power\": 1\n },\n \"wire_count\": 11,\n \"wire_bits\": 11,\n \"critical_path_estimate\": 64.42,\n...[1127 chars elided]...\n \"error\": null\n}", "plan_id": "68410af32295", "design_id": "6acb5ff099a0", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/nvdla/hw", "commit": "8e06b1b9d85aab65b40d43d08eec5ea4681ff715", "path": "vmod/nvdla/cdp/NV_NVDLA_CDP_slcg.v", "sha256": "833cbef85adfe83081120f202ba7fb6d1a00edba4cdc3fe10d40a586b06433cb"}} {"question": "For module top, does the RTL-to-netlist signal mapping fully cover the design, and how does that line up with the cell makeup of its CDFG (how many flip-flops and logic gates it has)?", "answer": "In module top, all 3 RTL signals (in1, r1q, out) map to the netlist with an alignment score of 100.0 and no unmapped elements, even though the netlist has 10 wires. The CDFG has 11 nodes and 14 edges, made up of 3 DFF_X1 flip-flops, 1 BUF_X1 and 1 AND2_X1.", "source_file": "github_repos/The-OpenROAD-Project_OpenROAD/src/dbSta/test/example1.v", "module_name": "top", "tool_name": "cross_stage_mapper+graph_extractor", "tool_parameters": [{}, {"graph_type": "CDFG"}], "tool_result": "[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"in1\": [\n \"in1\"\n ],\n \"r1q\": [\n \"r1q\"\n ],\n \"out\": [\n \"out\"\n ]\n },\n \"alignment_score\": 100.0,\n \"unmapped_elements\": [],\n \"mapping_statistics\": {\n \"rtl_signals\": 3,\n \"netlist_wires\": 10,\n \"netlist_cells\": 0,\n \"mapped_signals\": 3,\n \"unmapped_signals\": 0\n },\n \"error\": null\n}\n\n[graph_extractor {\"graph_type\": \"CDFG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"CDFG\",\n...[1761 chars elided]...\n \"node_count\": 11,\n \"edge_count\": 14,\n \"graph_properties\": {\n \"node_types\": {\n \"DFF_X1\": 3,\n \"BUF_X1\": 1,\n \"AND2_X1\": 1,\n \"port_input\": 5,\n \"port_output\": 1\n },\n \"avg_degree\": 1.27,\n \"module_name\": \"top\"\n },\n \"error\": null\n}", "category": "multi_tool", "subcategory": "cross_stage_mapper+graph_extractor", "difficulty": "compositional", "question_hash": "d91d774f83c2", "stage1_target": "[{\"tool\": \"cross_stage_mapper\", \"parameters\": {}}, {\"tool\": \"graph_extractor\", \"parameters\": {\"graph_type\": \"CDFG\"}}]", "stage2_context": "Question: For module top, does the RTL-to-netlist signal mapping fully cover the design, and how does that line up with the cell makeup of its CDFG (how many flip-flops and logic gates it has)?\n\n[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"in1\": [\n \"in1\"\n ],\n \"r1q\": [\n \"r1q\"\n ],\n \"out\": [\n \"out\"\n ]\n },\n \"alignment_score\": 100.0,\n \"unmapped_elements\": [],\n \"mapping_statistics\": {\n \"rtl_signals\": 3,\n \"netlist_wires\": 10,\n \"netlist_cells\": 0,\n \"mapped_signals\": 3,\n \"unmapped_signals\": 0\n },\n \"error\": null\n}\n\n[graph_extractor {\"graph_type\": \"CDFG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"CDFG\",\n...[1761 chars elided]...\n \"node_count\": 11,\n \"edge_count\": 14,\n \"graph_properties\": {\n \"node_types\": {\n \"DFF_X1\": 3,\n \"BUF_X1\": 1,\n \"AND2_X1\": 1,\n \"port_input\": 5,\n \"port_output\": 1\n },\n \"avg_degree\": 1.27,\n \"module_name\": \"top\"\n },\n \"error\": null\n}", "plan_id": "7fc277a3d0d1", "design_id": "6bba890372f7", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/The-OpenROAD-Project/OpenROAD", "commit": "3e3e483a4e3f98e2b5470b272040699de6dedbee", "path": "src/dbSta/test/example1.v", "sha256": "d2ae247ed121c7dfcff41e5f100cfd01fff4b9e3fdf7a95d54ea2f4c6d73acec"}} {"question": "For servant_gmm7550, how well do the RTL signals carry through to the gate-level netlist, and what does the synthesized result look like in area, delay and cell mix? In particular, does the reset path survive synthesis even though some RTL names don't map to anything?", "answer": "In servant_gmm7550, 11 of 15 RTL signals map to the netlist, giving an alignment score of 73.33. The unmapped names are wire, in, enable and frequency, while sys_rst maps to both sys_rst_n and sys_rst. The synthesized design has area 38.5, delay 140.53 and 37 cells, and the reset/clock infrastructure is kept as 1 CC_USR_RSTN, 1 CC_PLL and 4 $_DFFE_PN1P_ flip-flops plus 1 $_DFF_PN0_ flip-flop.", "source_file": "github_repos/olofk_serv/servant/servant_gmm7550.v", "module_name": "servant_gmm7550", "tool_name": "cross_stage_mapper+synthesis_tool", "tool_parameters": [{}, {"optimization_level": "medium"}], "tool_result": "[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"wire\": [],\n \"led_red_n\": [\n \"led_red_n\"\n ],\n \"uart_tx\": [\n \"uart_tx\"\n ],\n \"usr_rstn\": [\n \"usr_rstn\"\n ],\n \"in\": [],\n \"clk270\": [\n \"clk270\"\n ],\n \"sys_clk\": [\n \"sys_clk\"\n ],\n \"led_green\": [\n \"led_green\"\n ],\n \"usr_pll_lock_stdy\": [\n \"usr_pll_lock_stdy\"\n ],\n \"enable\": [],\n \"frequency\": [],\n \"sys_rst\": [\n \"sys_rst_n\",\n \"sys_rst\"\n ],\n \"ser_clk\": [\n \"ser_clk\"\n ],\n \"q\": [\n \"q\"\n ],\n \"sys_rst_n\": [\n \"sys_rst_n\"\n ]\n },\n \"alignment_score\": 73.33,\n \"unmapped_elements\": [\n \"wire\",\n \"in\",\n \"enable\",\n \"frequency\"\n ],\n \"mapping_statistics\": {\n \"rtl_signals\": 15,\n \"netlist_wires\": 229,\n \"netlist_cells\": 0,\n \"mapped_signals\": 11,\n \"unmapped_signals\": 4\n },\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 38.5,\n \"delay\": 140.53,\n \"power\": 0.037,\n \"gate_count\": 37,\n \"cell_breakdown\": {\n \"$_ANDNOT_\": 3,\n \"$_AND_\": 7,\n \"$_DFFE_PN1P_\": 4,\n \"$_DFF_PN0_\": 1,\n \"$_NAND_\": 1,\n \"$_NOR_\": 1,\n \"$_NOT_\": 5,\n \"$_ORNOT_\": 5,\n \"$_OR_\": 7,\n \"CC_PLL\": 1,\n \"CC_USR_RSTN\": 1,\n \"servant\": 1\n },\n \"wire_count\": 39,\n \"wire_bits\": 78,\n \"critical_path_estimate\": 140.53,\n \"synthesis\n...[1333 chars elided]...\n \"error\": null\n}", "category": "multi_tool", "subcategory": "cross_stage_mapper+synthesis_tool", "difficulty": "compositional", "question_hash": "0c8fffe67bc7", "stage1_target": "[{\"tool\": \"cross_stage_mapper\", \"parameters\": {}}, {\"tool\": \"synthesis_tool\", \"parameters\": {\"optimization_level\": \"medium\"}}]", "stage2_context": "Question: For servant_gmm7550, how well do the RTL signals carry through to the gate-level netlist, and what does the synthesized result look like in area, delay and cell mix? In particular, does the reset path survive synthesis even though some RTL names don't map to anything?\n\n[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"wire\": [],\n \"led_red_n\": [\n \"led_red_n\"\n ],\n \"uart_tx\": [\n \"uart_tx\"\n ],\n \"usr_rstn\": [\n \"usr_rstn\"\n ],\n \"in\": [],\n \"clk270\": [\n \"clk270\"\n ],\n \"sys_clk\": [\n \"sys_clk\"\n ],\n \"led_green\": [\n \"led_green\"\n ],\n \"usr_pll_lock_stdy\": [\n \"usr_pll_lock_stdy\"\n ],\n \"enable\": [],\n \"frequency\": [],\n \"sys_rst\": [\n \"sys_rst_n\",\n \"sys_rst\"\n ],\n \"ser_clk\": [\n \"ser_clk\"\n ],\n \"q\": [\n \"q\"\n ],\n \"sys_rst_n\": [\n \"sys_rst_n\"\n ]\n },\n \"alignment_score\": 73.33,\n \"unmapped_elements\": [\n \"wire\",\n \"in\",\n \"enable\",\n \"frequency\"\n ],\n \"mapping_statistics\": {\n \"rtl_signals\": 15,\n \"netlist_wires\": 229,\n \"netlist_cells\": 0,\n \"mapped_signals\": 11,\n \"unmapped_signals\": 4\n },\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 38.5,\n \"delay\": 140.53,\n \"power\": 0.037,\n \"gate_count\": 37,\n \"cell_breakdown\": {\n \"$_ANDNOT_\": 3,\n \"$_AND_\": 7,\n \"$_DFFE_PN1P_\": 4,\n \"$_DFF_PN0_\": 1,\n \"$_NAND_\": 1,\n \"$_NOR_\": 1,\n \"$_NOT_\": 5,\n \"$_ORNOT_\": 5,\n \"$_OR_\": 7,\n \"CC_PLL\": 1,\n \"CC_USR_RSTN\": 1,\n \"servant\": 1\n },\n \"wire_count\": 39,\n \"wire_bits\": 78,\n \"critical_path_estimate\": 140.53,\n \"synthesis\n...[1333 chars elided]...\n \"error\": null\n}", "plan_id": "3b7ecaf7fd64", "design_id": "6bebe5628a7e", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/olofk/serv", "commit": "f200eb2ed7b69ac1c6b8eddd47654522aeee5ce8", "path": "servant/servant_gmm7550.v", "sha256": "1b89bff30f0aeb767ac311436039eaf95f6fee98e20f3cd72757bfc1fe61819b"}} {"question": "For NV_NVDLA_RT_cmac_a2cacc, how well do the RTL signals line up with the synthesized netlist, and if I tune the design for power, what does that mean for the delayed pipeline registers such as mac2accu_pvld_d1 that don't map?", "answer": "NV_NVDLA_RT_cmac_a2cacc has an RTL-to-netlist alignment score of 61.29, with 38 of 62 RTL signals mapped. 24 are unmapped, including the delayed pipeline registers mac2accu_pvld_d1 and mac2accu_pd_d2. Tuning for power recommends inserting clock gating with 'opt_clean; clockgate', for an estimated power change of -25.0 at a cost of 5.0 in area and 5.0 in delay, so those pipeline stages would become even harder to trace in the netlist.", "source_file": "github_repos/nvdla_hw/vmod/nvdla/retiming/NV_NVDLA_RT_cmac_a2cacc.v", "module_name": "NV_NVDLA_RT_cmac_a2cacc", "tool_name": "cross_stage_mapper+optimization_advisor", "tool_parameters": [{}, {"target_metric": "power"}], "tool_result": "[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"mac2accu_mode_d1\": [],\n \"mac2accu_src_data7\": [\n \"mac2accu_src_data7\"\n ],\n \"mac2accu_data6_d0\": [\n \"mac2accu_data6_d0\"\n ],\n \"mac2accu_dst_data0\": [\n \"mac2accu_dst_data0\"\n ],\n \"mac2accu_pvld_d0\": [\n \"mac2accu_pvld_d0\"\n ],\n \"nvdla_core_clk\": [\n \"nvdla_core_clk\"\n ],\n \"mac2accu_src_mask\": [\n \"mac2accu_src_mask\"\n \n...[2436 chars elided]...\n \"mac2accu_src_pvld\": [\n \"mac2accu_src_pvld\"\n ],\n \"mac2accu_src_data1\": [\n \"mac2accu_src_data1\"\n ],\n \"mac2accu_mode_d2\": []\n },\n \"alignment_score\": 61.29,\n \"unmapped_elements\": [\n \"mac2accu_mode_d1\",\n \"mac2accu_pvld_d2\",\n \"mac2accu_data5_d2\",\n \"mac2accu_data4_d1\",\n \"mac2accu_data7_d1\",\n \"mac2accu_data2_d1\",\n \"mac2accu_pd_d1\",\n \"mac2accu_mask_d2\",\n \"mac2accu_mask_d1\",\n \"mac2accu_data6_d1\",\n \"mac2accu_data6_d2\",\n \"mac2accu_data2_d2\",\n \"mac2accu_data4_d2\",\n \"mac2accu_data3_d1\",\n \"mac2accu_data1_d1\",\n \"mac2accu_data7_d2\",\n \"mac2accu_data1_d2\",\n \"mac2accu_data5_d1\",\n \"mac2accu_pvld_d1\",\n \"mac2accu_pd_d2\"\n ],\n \"mapping_statistics\": {\n \"rtl_signals\": 62,\n \"netlist_wires\": 5870,\n \"netlist_cells\": 0,\n \"mapped_signals\": 38,\n \"unmapped_signals\": 24\n },\n \"error\": null\n}\n\n[optimization_advisor {\"target_metric\": \"power\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"power\",\n \"recommended_recipes\": [\n \"synth -top NV_NVDLA_RT_cmac_a2cacc\",\n \"opt; share; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean; clockgate\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"clock_gating\",\n \"description\": \"Insert clock gating for registers\",\n \"command\": \"clockgate\"\n },\n {\n \"type\": \"operand_isolation\",\n \"description\": \"Isolate operands when not in use\",\n \"command\": \"Use enable signals for arithmetic\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": 5.0,\n \"delay\": 5.0,\n \"power\": -25.0\n },\n \"trade_offs\": [\n \"Power optimization may add area overhead\",\n \"Clock gating adds timing complexity\"\n ],\n \"error\": null\n}", "category": "multi_tool", "subcategory": "cross_stage_mapper+optimization_advisor", "difficulty": "compositional", "question_hash": "0c13f4f71201", "stage1_target": "[{\"tool\": \"cross_stage_mapper\", \"parameters\": {}}, {\"tool\": \"optimization_advisor\", \"parameters\": {\"target_metric\": \"power\"}}]", "stage2_context": "Question: For NV_NVDLA_RT_cmac_a2cacc, how well do the RTL signals line up with the synthesized netlist, and if I tune the design for power, what does that mean for the delayed pipeline registers such as mac2accu_pvld_d1 that don't map?\n\n[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"mac2accu_mode_d1\": [],\n \"mac2accu_src_data7\": [\n \"mac2accu_src_data7\"\n ],\n \"mac2accu_data6_d0\": [\n \"mac2accu_data6_d0\"\n ],\n \"mac2accu_dst_data0\": [\n \"mac2accu_dst_data0\"\n ],\n \"mac2accu_pvld_d0\": [\n \"mac2accu_pvld_d0\"\n ],\n \"nvdla_core_clk\": [\n \"nvdla_core_clk\"\n ],\n \"mac2accu_src_mask\": [\n \"mac2accu_src_mask\"\n \n...[2436 chars elided]...\n \"mac2accu_src_pvld\": [\n \"mac2accu_src_pvld\"\n ],\n \"mac2accu_src_data1\": [\n \"mac2accu_src_data1\"\n ],\n \"mac2accu_mode_d2\": []\n },\n \"alignment_score\": 61.29,\n \"unmapped_elements\": [\n \"mac2accu_mode_d1\",\n \"mac2accu_pvld_d2\",\n \"mac2accu_data5_d2\",\n \"mac2accu_data4_d1\",\n \"mac2accu_data7_d1\",\n \"mac2accu_data2_d1\",\n \"mac2accu_pd_d1\",\n \"mac2accu_mask_d2\",\n \"mac2accu_mask_d1\",\n \"mac2accu_data6_d1\",\n \"mac2accu_data6_d2\",\n \"mac2accu_data2_d2\",\n \"mac2accu_data4_d2\",\n \"mac2accu_data3_d1\",\n \"mac2accu_data1_d1\",\n \"mac2accu_data7_d2\",\n \"mac2accu_data1_d2\",\n \"mac2accu_data5_d1\",\n \"mac2accu_pvld_d1\",\n \"mac2accu_pd_d2\"\n ],\n \"mapping_statistics\": {\n \"rtl_signals\": 62,\n \"netlist_wires\": 5870,\n \"netlist_cells\": 0,\n \"mapped_signals\": 38,\n \"unmapped_signals\": 24\n },\n \"error\": null\n}\n\n[optimization_advisor {\"target_metric\": \"power\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"power\",\n \"recommended_recipes\": [\n \"synth -top NV_NVDLA_RT_cmac_a2cacc\",\n \"opt; share; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean; clockgate\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"clock_gating\",\n \"description\": \"Insert clock gating for registers\",\n \"command\": \"clockgate\"\n },\n {\n \"type\": \"operand_isolation\",\n \"description\": \"Isolate operands when not in use\",\n \"command\": \"Use enable signals for arithmetic\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": 5.0,\n \"delay\": 5.0,\n \"power\": -25.0\n },\n \"trade_offs\": [\n \"Power optimization may add area overhead\",\n \"Clock gating adds timing complexity\"\n ],\n \"error\": null\n}", "plan_id": "834b39942c9f", "design_id": "6cd7d3392326", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/nvdla/hw", "commit": "8e06b1b9d85aab65b40d43d08eec5ea4681ff715", "path": "vmod/nvdla/retiming/NV_NVDLA_RT_cmac_a2cacc.v", "sha256": "a49b0569d31890f17529e0fa8bf1a03a58ee16c6be0315b9e84dedcad778f4d9"}} {"question": "In servant_lx9_clock_gen, the reset-synchronizer signals o_rst and locked_r can't be traced by name into the gate-level netlist. Does the synthesized cell mix still show that the reset logic was kept, and how does that fit with the RTL-to-netlist signal alignment?", "answer": "In servant_lx9_clock_gen, o_rst and locked_r are among the 4 unmapped signals, which gives an alignment score of 55.56. The reset logic is still there, though: the synthesized netlist has 2 $_DFF_P_ flip-flops and 1 $_NOT_ cell next to the PLL_BASE, for 4 gates and a 140.2 delay estimate, so those registers were renamed during synthesis rather than removed.", "source_file": "github_repos/olofk_serv/servant/servant_lx9_clock_gen.v", "module_name": "servant_lx9_clock_gen", "tool_name": "cross_stage_mapper+synthesis_tool", "tool_parameters": [{}, {"optimization_level": "medium"}], "tool_result": "[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"locked\": [\n \"locked\"\n ],\n \"wire\": [],\n \"reg\": [],\n \"i_rst\": [\n \"i_rst\"\n ],\n \"o_rst\": [],\n \"i_clk\": [\n \"i_clk\"\n ],\n \"locked_r\": [],\n \"clkfb\": [\n \"clkfb\"\n ],\n \"o_clk\": [\n \"o_clk\"\n ]\n },\n \"alignment_score\": 55.56,\n \"unmapped_elements\": [\n \"wire\",\n \"reg\",\n \"o_rst\",\n \"locked_r\"\n ],\n \"mapping_statistics\": {\n \"rtl_signals\": 9,\n \"netlist_wires\": 8,\n \"netlist_cells\": 0,\n \"mapped_signals\": 5,\n \"unmapped_signals\": 4\n },\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 9.5,\n \"delay\": 140.2,\n \"power\": 0.004,\n \"gate_count\": 4,\n \"cell_breakdown\": {\n \"$_DFF_P_\": 2,\n \"$_NOT_\": 1,\n \"PLL_BASE\": 1\n },\n \"wire_count\": 8,\n \"wire_bits\": 8,\n \"critical_path_estimate\": 140.2,\n...[1118 chars elided]...\n \"error\": null\n}", "category": "multi_tool", "subcategory": "cross_stage_mapper+synthesis_tool", "difficulty": "compositional", "question_hash": "3c3a954b46ea", "stage1_target": "[{\"tool\": \"cross_stage_mapper\", \"parameters\": {}}, {\"tool\": \"synthesis_tool\", \"parameters\": {\"optimization_level\": \"medium\"}}]", "stage2_context": "Question: In servant_lx9_clock_gen, the reset-synchronizer signals o_rst and locked_r can't be traced by name into the gate-level netlist. Does the synthesized cell mix still show that the reset logic was kept, and how does that fit with the RTL-to-netlist signal alignment?\n\n[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"locked\": [\n \"locked\"\n ],\n \"wire\": [],\n \"reg\": [],\n \"i_rst\": [\n \"i_rst\"\n ],\n \"o_rst\": [],\n \"i_clk\": [\n \"i_clk\"\n ],\n \"locked_r\": [],\n \"clkfb\": [\n \"clkfb\"\n ],\n \"o_clk\": [\n \"o_clk\"\n ]\n },\n \"alignment_score\": 55.56,\n \"unmapped_elements\": [\n \"wire\",\n \"reg\",\n \"o_rst\",\n \"locked_r\"\n ],\n \"mapping_statistics\": {\n \"rtl_signals\": 9,\n \"netlist_wires\": 8,\n \"netlist_cells\": 0,\n \"mapped_signals\": 5,\n \"unmapped_signals\": 4\n },\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 9.5,\n \"delay\": 140.2,\n \"power\": 0.004,\n \"gate_count\": 4,\n \"cell_breakdown\": {\n \"$_DFF_P_\": 2,\n \"$_NOT_\": 1,\n \"PLL_BASE\": 1\n },\n \"wire_count\": 8,\n \"wire_bits\": 8,\n \"critical_path_estimate\": 140.2,\n...[1118 chars elided]...\n \"error\": null\n}", "plan_id": "f30ead611aaf", "design_id": "6e0152485a8c", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/olofk/serv", "commit": "f200eb2ed7b69ac1c6b8eddd47654522aeee5ce8", "path": "servant/servant_lx9_clock_gen.v", "sha256": "a29d5e5fa334c6a04cf7fa201faf99a9704bcb97fb6e77dea4879c8660ca33a7"}} {"question": "For servant_lx9_clock_gen, how well do the RTL signals match the synthesized netlist, and is it worth running an area-focused optimization flow on it given that mapping and the improvement it is expected to deliver?", "answer": "servant_lx9_clock_gen has an RTL-to-netlist alignment score of only 55.56, with 4 signals unmapped (including o_rst and locked_r) and 0 netlist cells. That suggests the logic is mostly a clock primitive wrapper with almost nothing for an area optimizer to work on. The area-targeted flow estimates a -15.0 area change, but it relies on 'share -aggressive' for arithmetic sharing and comes with a 5.0 delay penalty, so it is unlikely to pay off on a design this small.", "source_file": "github_repos/olofk_serv/servant/servant_lx9_clock_gen.v", "module_name": "servant_lx9_clock_gen", "tool_name": "cross_stage_mapper+optimization_advisor", "tool_parameters": [{}, {"target_metric": "area"}], "tool_result": "[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"locked\": [\n \"locked\"\n ],\n \"wire\": [],\n \"reg\": [],\n \"i_rst\": [\n \"i_rst\"\n ],\n \"o_rst\": [],\n \"i_clk\": [\n \"i_clk\"\n ],\n \"locked_r\": [],\n \"clkfb\": [\n \"clkfb\"\n ],\n \"o_clk\": [\n \"o_clk\"\n ]\n },\n \"alignment_score\": 55.56,\n \"unmapped_elements\": [\n \"wire\",\n \"reg\",\n \"o_rst\",\n \"locked_r\"\n ],\n \"mapping_statistics\": {\n \"rtl_signals\": 9,\n \"netlist_wires\": 8,\n \"netlist_cells\": 0,\n \"mapped_signals\": 5,\n \"unmapped_signals\": 4\n },\n \"error\": null\n}\n\n[optimization_advisor {\"target_metric\": \"area\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"area\",\n \"recommended_recipes\": [\n \"synth -top servant_lx9_clock_gen -flatten\",\n \"opt -full; share -aggressive; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean -purge\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"resource_sharing\",\n \"description\": \"Share arithmetic operators\",\n \"command\": \"share -aggressive\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": -15.0,\n \"delay\": 5.0,\n \"power\": -10.0\n },\n \"trade_offs\": [\n \"Area optimization may increase delay\",\n \"Aggressive sharing increases routing complexity\"\n ],\n \"error\": null\n}", "category": "multi_tool", "subcategory": "cross_stage_mapper+optimization_advisor", "difficulty": "compositional", "question_hash": "62c53a355e09", "stage1_target": "[{\"tool\": \"cross_stage_mapper\", \"parameters\": {}}, {\"tool\": \"optimization_advisor\", \"parameters\": {\"target_metric\": \"area\"}}]", "stage2_context": "Question: For servant_lx9_clock_gen, how well do the RTL signals match the synthesized netlist, and is it worth running an area-focused optimization flow on it given that mapping and the improvement it is expected to deliver?\n\n[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"locked\": [\n \"locked\"\n ],\n \"wire\": [],\n \"reg\": [],\n \"i_rst\": [\n \"i_rst\"\n ],\n \"o_rst\": [],\n \"i_clk\": [\n \"i_clk\"\n ],\n \"locked_r\": [],\n \"clkfb\": [\n \"clkfb\"\n ],\n \"o_clk\": [\n \"o_clk\"\n ]\n },\n \"alignment_score\": 55.56,\n \"unmapped_elements\": [\n \"wire\",\n \"reg\",\n \"o_rst\",\n \"locked_r\"\n ],\n \"mapping_statistics\": {\n \"rtl_signals\": 9,\n \"netlist_wires\": 8,\n \"netlist_cells\": 0,\n \"mapped_signals\": 5,\n \"unmapped_signals\": 4\n },\n \"error\": null\n}\n\n[optimization_advisor {\"target_metric\": \"area\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"area\",\n \"recommended_recipes\": [\n \"synth -top servant_lx9_clock_gen -flatten\",\n \"opt -full; share -aggressive; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean -purge\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"resource_sharing\",\n \"description\": \"Share arithmetic operators\",\n \"command\": \"share -aggressive\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": -15.0,\n \"delay\": 5.0,\n \"power\": -10.0\n },\n \"trade_offs\": [\n \"Area optimization may increase delay\",\n \"Aggressive sharing increases routing complexity\"\n ],\n \"error\": null\n}", "plan_id": "f4dd06f5293d", "design_id": "6e0152485a8c", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/olofk/serv", "commit": "f200eb2ed7b69ac1c6b8eddd47654522aeee5ce8", "path": "servant/servant_lx9_clock_gen.v", "sha256": "a29d5e5fa334c6a04cf7fa201faf99a9704bcb97fb6e77dea4879c8660ca33a7"}} {"question": "For NV_NVDLA_RT_csb2cmac, the source declares 12 registers in 12 always blocks, but after medium-effort synthesis the netlist has 291 enable flip-flops plus a few reset flip-flops, with almost all remaining logic being AND gates. Can you square those two pictures, and say what sets the area and critical-path delay?", "answer": "NV_NVDLA_RT_csb2cmac's 12 regs and 12 always blocks expand to 291 $_DFFE_PP_ enable flops and 6 $_DFF_PN0_ reset flops, plus 291 $_AND_ cells, for a gate_count of 588. That means the design is a wide multi-bit register/retiming pipeline with almost no combinational logic, even though the source shows a cyclomatic complexity of 44 and a nesting depth of 42. Its area of 1752.0 and critical-path delay of 707.42 therefore come mostly from those sequential cells and their gating, not from deep logic.", "source_file": "github_repos/nvdla_hw/vmod/nvdla/retiming/NV_NVDLA_RT_csb2cmac.v", "module_name": "NV_NVDLA_RT_csb2cmac", "tool_name": "static_analyzer+synthesis_tool", "tool_parameters": [{"analysis_type": "full"}, {"optimization_level": "medium"}], "tool_result": "[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"NV_NVDLA_RT_csb2cmac\",\n \"port_count\": {\n \"inputs\": 7,\n \"outputs\": 5,\n \"inouts\": 0,\n \"total\": 12\n },\n \"signal_count\": {\n \"wires\": 4,\n \"regs\": 12,\n \"parameters\": 0,\n \"total\": 16\n },\n \"always_blocks\": 12,\n \"assign_statements\": 9,\n \"instantiations\": [],\n \"code_complexity\": {\n \"lines_of_code\": 142,\n \"total_lines\": 208,\n \"cyclomatic_complexity\": 44,\n \"nesting_depth\": 42,\n \"operator_count\": 330\n },\n \"lint_warnings\": [],\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 1752.0,\n \"delay\": 707.42,\n \"power\": 0.588,\n \"gate_count\": 588,\n \"cell_breakdown\": {\n \"$_AND_\": 291,\n \"$_DFFE_PP_\": 291,\n \"$_DFF_PN0_\": 6\n },\n \"wire_count\": 34,\n \"wire_bits\": 889,\n \"critical_path_estimate\": 707.42,\n...[1135 chars elided]...\n \"error\": null\n}", "category": "multi_tool", "subcategory": "static_analyzer+synthesis_tool", "difficulty": "compositional", "question_hash": "4b64d145fe67", "stage1_target": "[{\"tool\": \"static_analyzer\", \"parameters\": {\"analysis_type\": \"full\"}}, {\"tool\": \"synthesis_tool\", \"parameters\": {\"optimization_level\": \"medium\"}}]", "stage2_context": "Question: For NV_NVDLA_RT_csb2cmac, the source declares 12 registers in 12 always blocks, but after medium-effort synthesis the netlist has 291 enable flip-flops plus a few reset flip-flops, with almost all remaining logic being AND gates. Can you square those two pictures, and say what sets the area and critical-path delay?\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"NV_NVDLA_RT_csb2cmac\",\n \"port_count\": {\n \"inputs\": 7,\n \"outputs\": 5,\n \"inouts\": 0,\n \"total\": 12\n },\n \"signal_count\": {\n \"wires\": 4,\n \"regs\": 12,\n \"parameters\": 0,\n \"total\": 16\n },\n \"always_blocks\": 12,\n \"assign_statements\": 9,\n \"instantiations\": [],\n \"code_complexity\": {\n \"lines_of_code\": 142,\n \"total_lines\": 208,\n \"cyclomatic_complexity\": 44,\n \"nesting_depth\": 42,\n \"operator_count\": 330\n },\n \"lint_warnings\": [],\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 1752.0,\n \"delay\": 707.42,\n \"power\": 0.588,\n \"gate_count\": 588,\n \"cell_breakdown\": {\n \"$_AND_\": 291,\n \"$_DFFE_PP_\": 291,\n \"$_DFF_PN0_\": 6\n },\n \"wire_count\": 34,\n \"wire_bits\": 889,\n \"critical_path_estimate\": 707.42,\n...[1135 chars elided]...\n \"error\": null\n}", "plan_id": "531dea310cb8", "design_id": "71926ab66312", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/nvdla/hw", "commit": "8e06b1b9d85aab65b40d43d08eec5ea4681ff715", "path": "vmod/nvdla/retiming/NV_NVDLA_RT_csb2cmac.v", "sha256": "3598d091873675a33f170e48158b544ffcf88e5b63c4ef339270772cc1d141d3"}} {"question": "In the CDFG of NV_NVDLA_RT_csb2cmac, how many enable flops ($dffe) and async-reset flops ($adff) are there, and how do they show up as flip-flop cells after medium-effort synthesis? What area and delay does that synthesized result have?", "answer": "The CDFG of NV_NVDLA_RT_csb2cmac has 30 nodes and 1497 edges, including 6 $dffe, 6 $adff and 6 $mux nodes. After synthesis, the multi-bit enable registers become 291 $_DFFE_PP_ cells and the async-reset registers become 6 $_DFF_PN0_ cells, along with 291 $_AND_ gates. The synthesized design has an area of 1752.0 and a delay of 707.42.", "source_file": "github_repos/nvdla_hw/vmod/nvdla/retiming/NV_NVDLA_RT_csb2cmac.v", "module_name": "NV_NVDLA_RT_csb2cmac", "tool_name": "graph_extractor+synthesis_tool", "tool_parameters": [{"graph_type": "CDFG"}, {"optimization_level": "medium"}], "tool_result": "[graph_extractor {\"graph_type\": \"CDFG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"CDFG\",\n...[28629 chars elided]...\n \"node_count\": 30,\n \"edge_count\": 1497,\n \"graph_properties\": {\n \"node_types\": {\n \"$dffe\": 6,\n \"$adff\": 6,\n \"$mux\": 6,\n \"port_input\": 7,\n \"port_output\": 5\n },\n \"avg_degree\": 49.9,\n \"module_name\": \"NV_NVDLA_RT_csb2cmac\"\n },\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 1752.0,\n \"delay\": 707.42,\n \"power\": 0.588,\n \"gate_count\": 588,\n \"cell_breakdown\": {\n \"$_AND_\": 291,\n \"$_DFFE_PP_\": 291,\n \"$_DFF_PN0_\": 6\n },\n \"wire_count\": 34,\n \"wire_bits\": 889,\n \"critical_path_estimate\": 707.42,\n...[1135 chars elided]...\n \"error\": null\n}", "category": "multi_tool", "subcategory": "graph_extractor+synthesis_tool", "difficulty": "compositional", "question_hash": "1b7bb0e81c09", "stage1_target": "[{\"tool\": \"graph_extractor\", \"parameters\": {\"graph_type\": \"CDFG\"}}, {\"tool\": \"synthesis_tool\", \"parameters\": {\"optimization_level\": \"medium\"}}]", "stage2_context": "Question: In the CDFG of NV_NVDLA_RT_csb2cmac, how many enable flops ($dffe) and async-reset flops ($adff) are there, and how do they show up as flip-flop cells after medium-effort synthesis? What area and delay does that synthesized result have?\n\n[graph_extractor {\"graph_type\": \"CDFG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"CDFG\",\n...[28629 chars elided]...\n \"node_count\": 30,\n \"edge_count\": 1497,\n \"graph_properties\": {\n \"node_types\": {\n \"$dffe\": 6,\n \"$adff\": 6,\n \"$mux\": 6,\n \"port_input\": 7,\n \"port_output\": 5\n },\n \"avg_degree\": 49.9,\n \"module_name\": \"NV_NVDLA_RT_csb2cmac\"\n },\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 1752.0,\n \"delay\": 707.42,\n \"power\": 0.588,\n \"gate_count\": 588,\n \"cell_breakdown\": {\n \"$_AND_\": 291,\n \"$_DFFE_PP_\": 291,\n \"$_DFF_PN0_\": 6\n },\n \"wire_count\": 34,\n \"wire_bits\": 889,\n \"critical_path_estimate\": 707.42,\n...[1135 chars elided]...\n \"error\": null\n}", "plan_id": "328ef1034d30", "design_id": "71926ab66312", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/nvdla/hw", "commit": "8e06b1b9d85aab65b40d43d08eec5ea4681ff715", "path": "vmod/nvdla/retiming/NV_NVDLA_RT_csb2cmac.v", "sha256": "3598d091873675a33f170e48158b544ffcf88e5b63c4ef339270772cc1d141d3"}} {"question": "For NV_NVDLA_partition_a, how well does the RTL line up with the synthesized netlist, what does the netlist look like after a medium-effort synthesis run, and what improvement and trade-offs should I expect if I optimize it for delay?", "answer": "NV_NVDLA_partition_a has an RTL-to-netlist alignment score of 96.67, with 58 of 60 RTL signals mapped and only la_r_clk and larstn unmapped. Medium-effort synthesis gives 5 cells (one each of NV_NVDLA_cacc, NV_NVDLA_RT_cmac_b2cacc, NV_NVDLA_reset, NV_NVDLA_sync3d and NV_NVDLA_sync3d_s), 58 wires and a delay of 81.03. Optimizing for delay is estimated to improve delay by -20.0, but area rises by 10.0 and power by 5.0, and the suggested methods are register retiming and splitnets -driver.", "source_file": "github_repos/nvdla_hw/vmod/nvdla/top/NV_NVDLA_partition_a.v", "module_name": "NV_NVDLA_partition_a", "tool_name": "cross_stage_mapper+optimization_advisor+synthesis_tool", "tool_parameters": [{}, {"target_metric": "delay"}, {"optimization_level": "medium"}], "tool_result": "[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"mac_a2accu_dst_data0\": [\n \"mac_a2accu_dst_data0\"\n ],\n \"la_r_clk\": [],\n \"dla_clk_ovr_on_sync\": [\n \"dla_clk_ovr_on_sync\"\n ],\n \"mac_a2accu_dst_data1\": [\n \"mac_a2accu_dst_data1\"\n ],\n \"mac_b2accu\n...[3212 chars elided]...\n ],\n \"csb2cacc_req_dst_prdy\": [\n \"csb2cacc_req_dst_prdy\"\n ],\n \"accu2sc_credit_vld\": [\n \"accu2sc_credit_vld\"\n ],\n \"mac_a2accu_dst_data5\": [\n \"mac_a2accu_dst_data5\"\n ],\n \"test_mode\": [\n \"test_mode\"\n ],\n \"mac_b2accu_src_data1\": [\n \"mac_b2accu_src_data1\"\n ]\n },\n \"alignment_score\": 96.67,\n \"unmapped_elements\": [\n \"la_r_clk\",\n \"larstn\"\n ],\n \"mapping_statistics\": {\n \"rtl_signals\": 60,\n \"netlist_wires\": 58,\n \"netlist_cells\": 0,\n \"mapped_signals\": 58,\n \"unmapped_signals\": 2\n },\n \"error\": null\n}\n\n[optimization_advisor {\"target_metric\": \"delay\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"delay\",\n \"recommended_recipes\": [\n \"synth -top NV_NVDLA_partition_a\",\n \"opt -fast\",\n \"abc -fast -liberty stdcells.lib\",\n \"opt_clean\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"pipeline_insertion\",\n \"description\": \"Consider pipelining arithmetic operations\",\n \"command\": \"Use register retiming\"\n },\n {\n \"type\": \"logic_duplication\",\n \"description\": \"Duplicate logic to reduce fanout\",\n \"command\": \"splitnets -driver\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": 10.0,\n \"delay\": -20.0,\n \"power\": 5.0\n },\n \"trade_offs\": [\n \"Speed optimization increases area\",\n \"Higher power consumption\"\n ],\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 5.0,\n \"delay\": 81.03,\n \"power\": 0.005,\n \"gate_count\": 5,\n \"cell_breakdown\": {\n \"NV_NVDLA_RT_cmac_b2cacc\": 1,\n \"NV_NVDLA_cacc\": 1,\n \"NV_NVDLA_reset\": 1,\n \"NV_NVDLA_sync3d\": 1,\n \"NV_NVDLA_sync3d_s\": 1\n },\n \"wire_count\": 58,\n \"wire_\n...[1659 chars elided]...\n \"error\": null\n}", "category": "multi_tool", "subcategory": "cross_stage_mapper+optimization_advisor+synthesis_tool", "difficulty": "compositional", "question_hash": "3c65c35e063a", "stage1_target": "[{\"tool\": \"cross_stage_mapper\", \"parameters\": {}}, {\"tool\": \"optimization_advisor\", \"parameters\": {\"target_metric\": \"delay\"}}, {\"tool\": \"synthesis_tool\", \"parameters\": {\"optimization_level\": \"medium\"}}]", "stage2_context": "Question: For NV_NVDLA_partition_a, how well does the RTL line up with the synthesized netlist, what does the netlist look like after a medium-effort synthesis run, and what improvement and trade-offs should I expect if I optimize it for delay?\n\n[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"mac_a2accu_dst_data0\": [\n \"mac_a2accu_dst_data0\"\n ],\n \"la_r_clk\": [],\n \"dla_clk_ovr_on_sync\": [\n \"dla_clk_ovr_on_sync\"\n ],\n \"mac_a2accu_dst_data1\": [\n \"mac_a2accu_dst_data1\"\n ],\n \"mac_b2accu\n...[3212 chars elided]...\n ],\n \"csb2cacc_req_dst_prdy\": [\n \"csb2cacc_req_dst_prdy\"\n ],\n \"accu2sc_credit_vld\": [\n \"accu2sc_credit_vld\"\n ],\n \"mac_a2accu_dst_data5\": [\n \"mac_a2accu_dst_data5\"\n ],\n \"test_mode\": [\n \"test_mode\"\n ],\n \"mac_b2accu_src_data1\": [\n \"mac_b2accu_src_data1\"\n ]\n },\n \"alignment_score\": 96.67,\n \"unmapped_elements\": [\n \"la_r_clk\",\n \"larstn\"\n ],\n \"mapping_statistics\": {\n \"rtl_signals\": 60,\n \"netlist_wires\": 58,\n \"netlist_cells\": 0,\n \"mapped_signals\": 58,\n \"unmapped_signals\": 2\n },\n \"error\": null\n}\n\n[optimization_advisor {\"target_metric\": \"delay\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"delay\",\n \"recommended_recipes\": [\n \"synth -top NV_NVDLA_partition_a\",\n \"opt -fast\",\n \"abc -fast -liberty stdcells.lib\",\n \"opt_clean\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"pipeline_insertion\",\n \"description\": \"Consider pipelining arithmetic operations\",\n \"command\": \"Use register retiming\"\n },\n {\n \"type\": \"logic_duplication\",\n \"description\": \"Duplicate logic to reduce fanout\",\n \"command\": \"splitnets -driver\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": 10.0,\n \"delay\": -20.0,\n \"power\": 5.0\n },\n \"trade_offs\": [\n \"Speed optimization increases area\",\n \"Higher power consumption\"\n ],\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 5.0,\n \"delay\": 81.03,\n \"power\": 0.005,\n \"gate_count\": 5,\n \"cell_breakdown\": {\n \"NV_NVDLA_RT_cmac_b2cacc\": 1,\n \"NV_NVDLA_cacc\": 1,\n \"NV_NVDLA_reset\": 1,\n \"NV_NVDLA_sync3d\": 1,\n \"NV_NVDLA_sync3d_s\": 1\n },\n \"wire_count\": 58,\n \"wire_\n...[1659 chars elided]...\n \"error\": null\n}", "plan_id": "86e2384eb085", "design_id": "71c8c9bee028", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 3, "ctx_cap": 3300, "source": {"repository": "https://github.com/nvdla/hw", "commit": "8e06b1b9d85aab65b40d43d08eec5ea4681ff715", "path": "vmod/nvdla/top/NV_NVDLA_partition_a.v", "sha256": "e0bc77f00501126bbe93b5a0258b5e552a4d777233e911141bb5aba55db13524"}} {"question": "For RAMDP_64X10_GL_M2_E2, how well do the RTL signals line up with the netlist, and given that, is it a good idea to apply power-targeted optimizations such as clock gating? Please also say what power savings and side effects to expect.", "answer": "In RAMDP_64X10_GL_M2_E2, only 28 of 65 RTL signals map to the netlist, for an alignment score of 43.08. Gating-related elements such as weclk_gating and reclk_gating_1p are among the unmapped ones, so any clock gating added would be hard to trace back to the RTL. The power-targeted plan recommends clockgate and memory_share and estimates a power change of -25.0, but it also estimates area and delay changes of 5.0 each and warns that clock gating adds timing complexity.", "source_file": "github_repos/nvdla_hw/vmod/rams/model/RAMDP_64X10_GL_M2_E2.v", "module_name": "RAMDP_64X10_GL_M2_E2", "tool_name": "cross_stage_mapper+optimization_advisor", "tool_parameters": [{}, {"target_metric": "power"}], "tool_result": "[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"weclk\": [\n \"weclk_d1\",\n \"weclk_d2\",\n \"weclk\",\n \"weclk_d0\"\n ],\n \"check_x\": [],\n \"ret_en_r_1p\": [],\n \"RA\": [\n \"RADR_2\",\n \"RADR_3\",\n \"RA\",\n \"RADR_1\",\n \"RADR_4\"\n ],\n \"RE\": [\n \"RE\",\n \"RET_EN\"\n ],\n \"WD\": [\n \"WD_6\",\n \"WD_3\",\n \"WD_0\",\n \"WD_4\",\n \"WD_2\"\n ],\n \"clobber_x\": [\n \n...[2228 chars elided]...\nLK_R\"\n ],\n \"disable_power_assertion_S1P2\": [],\n \"weclk_gating_1p\": [],\n \"we_ff\": [],\n \"addr\": [\n \"r0_addr\",\n \"w0_addr\"\n ],\n \"RD_9\": [\n \"RD_9\"\n ],\n \"clamp_o\": [\n \"clamp_o\"\n ],\n \"disable_power_assertion_S2P1\": []\n },\n \"alignment_score\": 43.08,\n \"unmapped_elements\": [\n \"check_x\",\n \"ret_en_r_1p\",\n \"ret_en_w_1p\",\n \"sleep_en_off_r_1p\",\n \"ra_ff\",\n \"weclk_gating\",\n \"rst_clk\",\n \"we_lat\",\n \"wa_ff\",\n \"reclk_gating_1p\",\n \"dump_monitor_result\",\n \"output_valid\",\n \"data\",\n \"disable_power_assertion_S1P1\",\n \"re_lat\",\n \"wd_ff\",\n \"wd_lat\",\n \"monitor_on\",\n \"fault_mask\",\n \"sleep_en_off_w_1p\"\n ],\n \"mapping_statistics\": {\n \"rtl_signals\": 65,\n \"netlist_wires\": 6469,\n \"netlist_cells\": 0,\n \"mapped_signals\": 28,\n \"unmapped_signals\": 37\n },\n \"error\": null\n}\n\n[optimization_advisor {\"target_metric\": \"power\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"power\",\n \"recommended_recipes\": [\n \"synth -top RAMDP_64X10_GL_M2_E2\",\n \"opt; share; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean; clockgate\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"clock_gating\",\n \"description\": \"Insert clock gating for registers\",\n \"command\": \"clockgate\"\n },\n {\n \"type\": \"memory_banking\",\n \"description\": \"Bank memories to reduce active area\",\n \"command\": \"memory_share\"\n },\n {\n \"type\": \"operand_isolation\",\n \"description\": \"Isolate operands when not in use\",\n \"command\": \"Use enable signals for arithmetic\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": 5.0,\n \"delay\": 5.0,\n \"power\": -25.0\n },\n \"trade_offs\": [\n \"Power optimization may add area overhead\",\n \"Clock gating adds timing complexity\"\n ],\n \"error\": null\n}", "category": "multi_tool", "subcategory": "cross_stage_mapper+optimization_advisor", "difficulty": "compositional", "question_hash": "ac7ab225904b", "stage1_target": "[{\"tool\": \"cross_stage_mapper\", \"parameters\": {}}, {\"tool\": \"optimization_advisor\", \"parameters\": {\"target_metric\": \"power\"}}]", "stage2_context": "Question: For RAMDP_64X10_GL_M2_E2, how well do the RTL signals line up with the netlist, and given that, is it a good idea to apply power-targeted optimizations such as clock gating? Please also say what power savings and side effects to expect.\n\n[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"weclk\": [\n \"weclk_d1\",\n \"weclk_d2\",\n \"weclk\",\n \"weclk_d0\"\n ],\n \"check_x\": [],\n \"ret_en_r_1p\": [],\n \"RA\": [\n \"RADR_2\",\n \"RADR_3\",\n \"RA\",\n \"RADR_1\",\n \"RADR_4\"\n ],\n \"RE\": [\n \"RE\",\n \"RET_EN\"\n ],\n \"WD\": [\n \"WD_6\",\n \"WD_3\",\n \"WD_0\",\n \"WD_4\",\n \"WD_2\"\n ],\n \"clobber_x\": [\n \n...[2228 chars elided]...\nLK_R\"\n ],\n \"disable_power_assertion_S1P2\": [],\n \"weclk_gating_1p\": [],\n \"we_ff\": [],\n \"addr\": [\n \"r0_addr\",\n \"w0_addr\"\n ],\n \"RD_9\": [\n \"RD_9\"\n ],\n \"clamp_o\": [\n \"clamp_o\"\n ],\n \"disable_power_assertion_S2P1\": []\n },\n \"alignment_score\": 43.08,\n \"unmapped_elements\": [\n \"check_x\",\n \"ret_en_r_1p\",\n \"ret_en_w_1p\",\n \"sleep_en_off_r_1p\",\n \"ra_ff\",\n \"weclk_gating\",\n \"rst_clk\",\n \"we_lat\",\n \"wa_ff\",\n \"reclk_gating_1p\",\n \"dump_monitor_result\",\n \"output_valid\",\n \"data\",\n \"disable_power_assertion_S1P1\",\n \"re_lat\",\n \"wd_ff\",\n \"wd_lat\",\n \"monitor_on\",\n \"fault_mask\",\n \"sleep_en_off_w_1p\"\n ],\n \"mapping_statistics\": {\n \"rtl_signals\": 65,\n \"netlist_wires\": 6469,\n \"netlist_cells\": 0,\n \"mapped_signals\": 28,\n \"unmapped_signals\": 37\n },\n \"error\": null\n}\n\n[optimization_advisor {\"target_metric\": \"power\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"power\",\n \"recommended_recipes\": [\n \"synth -top RAMDP_64X10_GL_M2_E2\",\n \"opt; share; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean; clockgate\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"clock_gating\",\n \"description\": \"Insert clock gating for registers\",\n \"command\": \"clockgate\"\n },\n {\n \"type\": \"memory_banking\",\n \"description\": \"Bank memories to reduce active area\",\n \"command\": \"memory_share\"\n },\n {\n \"type\": \"operand_isolation\",\n \"description\": \"Isolate operands when not in use\",\n \"command\": \"Use enable signals for arithmetic\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": 5.0,\n \"delay\": 5.0,\n \"power\": -25.0\n },\n \"trade_offs\": [\n \"Power optimization may add area overhead\",\n \"Clock gating adds timing complexity\"\n ],\n \"error\": null\n}", "plan_id": "f6d8c3326fee", "design_id": "7204feed74d0", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/nvdla/hw", "commit": "8e06b1b9d85aab65b40d43d08eec5ea4681ff715", "path": "vmod/rams/model/RAMDP_64X10_GL_M2_E2.v", "sha256": "c62139668ac68785f2305829e25cdd28fa70aac7798f81dbae259cbbc6aa04e9"}} {"question": "For NV_NVDLA_partition_a, how well does the RTL line up with the netlist, and which signals are unmapped? If I run an area-focused optimization flow on it, what area gain should I expect, and how much delay would I give up?", "answer": "NV_NVDLA_partition_a has an RTL-to-netlist alignment score of 96.67, with 58 of 60 RTL signals mapped and only la_r_clk and larstn left unmapped. An area-targeted flow built around 'share -aggressive' is estimated to change area by -15.0 and delay by 5.0, which fits the noted trade-off that area optimization may increase delay.", "source_file": "github_repos/nvdla_hw/vmod/nvdla/top/NV_NVDLA_partition_a.v", "module_name": "NV_NVDLA_partition_a", "tool_name": "cross_stage_mapper+optimization_advisor", "tool_parameters": [{}, {"target_metric": "area"}], "tool_result": "[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"mac_a2accu_dst_data0\": [\n \"mac_a2accu_dst_data0\"\n ],\n \"la_r_clk\": [],\n \"dla_clk_ovr_on_sync\": [\n \"dla_clk_ovr_on_sync\"\n ],\n \"mac_a2accu_dst_data1\": [\n \"mac_a2accu_dst_data1\"\n ],\n \"mac_b2accu_src_data3\": [\n \"mac_b2accu_src_data3\"\n ],\n \"accu2sc_credit_size\": [\n \"accu2sc_credit_size\"\n ],\n \"mac_b2accu_dst_data6\": [\n \n...[2762 chars elided]...\na5\": [\n \"mac_b2accu_src_data5\"\n ],\n \"mac_b2accu_dst_mask\": [\n \"mac_b2accu_dst_mask\"\n ],\n \"mac_a2accu_dst_data4\": [\n \"mac_a2accu_dst_data4\"\n ],\n \"mac_b2accu_src_pd\": [\n \"mac_b2accu_src_pd\"\n ],\n \"cacc2csb_resp_src_valid\": [\n \"cacc2csb_resp_src_valid\"\n ],\n \"csb2cacc_req_dst_prdy\": [\n \"csb2cacc_req_dst_prdy\"\n ],\n \"accu2sc_credit_vld\": [\n \"accu2sc_credit_vld\"\n ],\n \"mac_a2accu_dst_data5\": [\n \"mac_a2accu_dst_data5\"\n ],\n \"test_mode\": [\n \"test_mode\"\n ],\n \"mac_b2accu_src_data1\": [\n \"mac_b2accu_src_data1\"\n ]\n },\n \"alignment_score\": 96.67,\n \"unmapped_elements\": [\n \"la_r_clk\",\n \"larstn\"\n ],\n \"mapping_statistics\": {\n \"rtl_signals\": 60,\n \"netlist_wires\": 58,\n \"netlist_cells\": 0,\n \"mapped_signals\": 58,\n \"unmapped_signals\": 2\n },\n \"error\": null\n}\n\n[optimization_advisor {\"target_metric\": \"area\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"area\",\n \"recommended_recipes\": [\n \"synth -top NV_NVDLA_partition_a -flatten\",\n \"opt -full; share -aggressive; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean -purge\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"resource_sharing\",\n \"description\": \"Share arithmetic operators\",\n \"command\": \"share -aggressive\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": -15.0,\n \"delay\": 5.0,\n \"power\": -10.0\n },\n \"trade_offs\": [\n \"Area optimization may increase delay\",\n \"Aggressive sharing increases routing complexity\"\n ],\n \"error\": null\n}", "category": "multi_tool", "subcategory": "cross_stage_mapper+optimization_advisor", "difficulty": "compositional", "question_hash": "3acd4c8affe6", "stage1_target": "[{\"tool\": \"cross_stage_mapper\", \"parameters\": {}}, {\"tool\": \"optimization_advisor\", \"parameters\": {\"target_metric\": \"area\"}}]", "stage2_context": "Question: For NV_NVDLA_partition_a, how well does the RTL line up with the netlist, and which signals are unmapped? If I run an area-focused optimization flow on it, what area gain should I expect, and how much delay would I give up?\n\n[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"mac_a2accu_dst_data0\": [\n \"mac_a2accu_dst_data0\"\n ],\n \"la_r_clk\": [],\n \"dla_clk_ovr_on_sync\": [\n \"dla_clk_ovr_on_sync\"\n ],\n \"mac_a2accu_dst_data1\": [\n \"mac_a2accu_dst_data1\"\n ],\n \"mac_b2accu_src_data3\": [\n \"mac_b2accu_src_data3\"\n ],\n \"accu2sc_credit_size\": [\n \"accu2sc_credit_size\"\n ],\n \"mac_b2accu_dst_data6\": [\n \n...[2762 chars elided]...\na5\": [\n \"mac_b2accu_src_data5\"\n ],\n \"mac_b2accu_dst_mask\": [\n \"mac_b2accu_dst_mask\"\n ],\n \"mac_a2accu_dst_data4\": [\n \"mac_a2accu_dst_data4\"\n ],\n \"mac_b2accu_src_pd\": [\n \"mac_b2accu_src_pd\"\n ],\n \"cacc2csb_resp_src_valid\": [\n \"cacc2csb_resp_src_valid\"\n ],\n \"csb2cacc_req_dst_prdy\": [\n \"csb2cacc_req_dst_prdy\"\n ],\n \"accu2sc_credit_vld\": [\n \"accu2sc_credit_vld\"\n ],\n \"mac_a2accu_dst_data5\": [\n \"mac_a2accu_dst_data5\"\n ],\n \"test_mode\": [\n \"test_mode\"\n ],\n \"mac_b2accu_src_data1\": [\n \"mac_b2accu_src_data1\"\n ]\n },\n \"alignment_score\": 96.67,\n \"unmapped_elements\": [\n \"la_r_clk\",\n \"larstn\"\n ],\n \"mapping_statistics\": {\n \"rtl_signals\": 60,\n \"netlist_wires\": 58,\n \"netlist_cells\": 0,\n \"mapped_signals\": 58,\n \"unmapped_signals\": 2\n },\n \"error\": null\n}\n\n[optimization_advisor {\"target_metric\": \"area\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"area\",\n \"recommended_recipes\": [\n \"synth -top NV_NVDLA_partition_a -flatten\",\n \"opt -full; share -aggressive; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean -purge\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"resource_sharing\",\n \"description\": \"Share arithmetic operators\",\n \"command\": \"share -aggressive\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": -15.0,\n \"delay\": 5.0,\n \"power\": -10.0\n },\n \"trade_offs\": [\n \"Area optimization may increase delay\",\n \"Aggressive sharing increases routing complexity\"\n ],\n \"error\": null\n}", "plan_id": "c4be18e6712b", "design_id": "71c8c9bee028", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/nvdla/hw", "commit": "8e06b1b9d85aab65b40d43d08eec5ea4681ff715", "path": "vmod/nvdla/top/NV_NVDLA_partition_a.v", "sha256": "e0bc77f00501126bbe93b5a0258b5e552a4d777233e911141bb5aba55db13524"}} {"question": "For the servive module, does the RTL-to-netlist alignment look consistent with its simple structural profile, and which signal fails to map given its port and wire counts?", "answer": "The servive module scores 85.71 on alignment, with 6 of its 7 RTL signals mapped and only \"wire\" left unmapped. That fits its simple structure: 4 total ports, 6 wires, a cyclomatic complexity of 1 and a single servive_clock_gen instantiation, with 0 netlist cells.", "source_file": "github_repos/olofk_serv/servant/servive.v", "module_name": "servive", "tool_name": "cross_stage_mapper+static_analyzer", "tool_parameters": [{}, {"analysis_type": "full"}], "tool_result": "[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"wb_rst\": [\n \"wb_rst\"\n ],\n \"wire\": [],\n \"wb_clk\": [\n \"wb_clk\"\n ],\n \"q\": [\n \"q\"\n ],\n \"i_rst_n\": [\n \"i_rst_n\"\n ],\n \"i_clk\": [\n \"i_clk\"\n ],\n \"uart_txd\": [\n \"uart_txd\"\n ]\n },\n \"alignment_score\": 85.71,\n \"unmapped_elements\": [\n \"wire\"\n ],\n \"mapping_statistics\": {\n \"rtl_signals\": 7,\n \"netlist_wires\": 9,\n \"netlist_cells\": 0,\n \"mapped_signals\": 6,\n \"unmapped_signals\": 1\n },\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"servive\",\n \"port_count\": {\n \"inputs\": 2,\n \"outputs\": 2,\n \"inouts\": 0,\n \"total\": 4\n },\n \"signal_count\": {\n \"wires\": 6,\n \"regs\": 0,\n \"parameters\": 2,\n \"total\": 6\n },\n \"always_blocks\": 0,\n \"assign_statements\": 1,\n \"instantiations\": [\n \"servive_clock_gen\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 25,\n \"total_lines\": 32,\n \"cyclomatic_complexity\": 1,\n \"nesting_depth\": 0,\n \"operator_count\": 3\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "category": "multi_tool", "subcategory": "cross_stage_mapper+static_analyzer", "difficulty": "compositional", "question_hash": "fa309d6a668f", "stage1_target": "[{\"tool\": \"cross_stage_mapper\", \"parameters\": {}}, {\"tool\": \"static_analyzer\", \"parameters\": {\"analysis_type\": \"full\"}}]", "stage2_context": "Question: For the servive module, does the RTL-to-netlist alignment look consistent with its simple structural profile, and which signal fails to map given its port and wire counts?\n\n[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"wb_rst\": [\n \"wb_rst\"\n ],\n \"wire\": [],\n \"wb_clk\": [\n \"wb_clk\"\n ],\n \"q\": [\n \"q\"\n ],\n \"i_rst_n\": [\n \"i_rst_n\"\n ],\n \"i_clk\": [\n \"i_clk\"\n ],\n \"uart_txd\": [\n \"uart_txd\"\n ]\n },\n \"alignment_score\": 85.71,\n \"unmapped_elements\": [\n \"wire\"\n ],\n \"mapping_statistics\": {\n \"rtl_signals\": 7,\n \"netlist_wires\": 9,\n \"netlist_cells\": 0,\n \"mapped_signals\": 6,\n \"unmapped_signals\": 1\n },\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"servive\",\n \"port_count\": {\n \"inputs\": 2,\n \"outputs\": 2,\n \"inouts\": 0,\n \"total\": 4\n },\n \"signal_count\": {\n \"wires\": 6,\n \"regs\": 0,\n \"parameters\": 2,\n \"total\": 6\n },\n \"always_blocks\": 0,\n \"assign_statements\": 1,\n \"instantiations\": [\n \"servive_clock_gen\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 25,\n \"total_lines\": 32,\n \"cyclomatic_complexity\": 1,\n \"nesting_depth\": 0,\n \"operator_count\": 3\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "plan_id": "6e712f712c3d", "design_id": "720ae7aca0d9", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/olofk/serv", "commit": "f200eb2ed7b69ac1c6b8eddd47654522aeee5ce8", "path": "servant/servive.v", "sha256": "de6e1500b0fbef50c52a647fe400b30bb178666ec25da6cf687350228d4bde35"}} {"question": "For NV_NVDLA_rubik, the synthesized netlist at medium optimization comes out to only 11 gates, and every RTL signal maps one-to-one onto a netlist wire. Does that make it worth applying the recommended area optimization flow with aggressive operator sharing? Weigh the expected area gain against the delay penalty, given the current delay figure.", "answer": "NV_NVDLA_rubik synthesizes to an area of 11.0 with 11 gates, mostly single submodule instances such as NV_NVDLA_RUBIK_dma plus 3 NV_NVDLA_RUBIK_slcg, at a delay of 102.66. RTL-to-netlist alignment scores 100.0, with all 108 RTL signals mapped and 0 netlist cells, so the netlist is basically a hierarchy of submodule instances. The area recipe ('share -aggressive') estimates a -15.0 area change in exchange for a 5.0 delay increase, but with so little flattened top-level logic, any real savings would come from flattening the submodules ('synth -top NV_NVDLA_rubik -flatten') rather than from sharing at the top level.", "source_file": "github_repos/nvdla_hw/vmod/nvdla/rubik/NV_NVDLA_rubik.v", "module_name": "NV_NVDLA_rubik", "tool_name": "cross_stage_mapper+optimization_advisor+synthesis_tool", "tool_parameters": [{}, {"target_metric": "area"}, {"optimization_level": "medium"}], "tool_result": "[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"reg2dp_in_precision\": [\n \"reg2dp_in_precision\"\n ],\n \"reg2dp_deconv_x_stride\": [\n \"reg2dp_deconv_x_stride\"\n ],\n \"cvif2rbk_rd_rsp_valid\": [\n \"cvif2rbk_rd_rsp_valid\"\n ],\n \"inwidth\": [\n \"inwid\n...[6211 chars elided]...\nperf_en\"\n ],\n \"rd_req_pd\": [\n \"rd_req_pd\",\n \"rbk2mcif_rd_req_pd\",\n \"rbk2cvif_rd_req_pd\"\n ],\n \"reg2dp_dain_line_stride\": [\n \"reg2dp_dain_line_stride\"\n ],\n \"rf_wr_addr\": [\n \"rf_wr_addr\"\n ],\n \"rf_rd_vld\": [\n \"rf_rd_vld\"\n ],\n \"rbk2mcif_wr_req_pd\": [\n \"rbk2mcif_wr_req_pd\"\n ]\n },\n \"alignment_score\": 100.0,\n \"unmapped_elements\": [],\n \"mapping_statistics\": {\n \"rtl_signals\": 108,\n \"netlist_wires\": 108,\n \"netlist_cells\": 0,\n \"mapped_signals\": 108,\n \"unmapped_signals\": 0\n },\n \"error\": null\n}\n\n[optimization_advisor {\"target_metric\": \"area\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"area\",\n \"recommended_recipes\": [\n \"synth -top NV_NVDLA_rubik -flatten\",\n \"opt -full; share -aggressive; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean -purge\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"resource_sharing\",\n \"description\": \"Share arithmetic operators\",\n \"command\": \"share -aggressive\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": -15.0,\n \"delay\": 5.0,\n \"power\": -10.0\n },\n \"trade_offs\": [\n \"Area optimization may increase delay\",\n \"Aggressive sharing increases routing complexity\"\n ],\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 11.0,\n \"delay\": 102.66,\n \"power\": 0.011,\n \"gate_count\": 11,\n \"cell_breakdown\": {\n \"NV_NVDLA_RUBIK_dma\": 1,\n \"NV_NVDLA_RUBIK_dr2drc\": 1,\n \"NV_NVDLA_RUBIK_intr\": 1,\n \"NV_NVDLA_RUBIK_regfile\": 1,\n \"NV_NVDLA_RUBIK_rf_core\": 1,\n \"NV_N\n...[1821 chars elided]...\n \"error\": null\n}", "category": "multi_tool", "subcategory": "cross_stage_mapper+optimization_advisor+synthesis_tool", "difficulty": "compositional", "question_hash": "b447560c73db", "stage1_target": "[{\"tool\": \"cross_stage_mapper\", \"parameters\": {}}, {\"tool\": \"optimization_advisor\", \"parameters\": {\"target_metric\": \"area\"}}, {\"tool\": \"synthesis_tool\", \"parameters\": {\"optimization_level\": \"medium\"}}]", "stage2_context": "Question: For NV_NVDLA_rubik, the synthesized netlist at medium optimization comes out to only 11 gates, and every RTL signal maps one-to-one onto a netlist wire. Does that make it worth applying the recommended area optimization flow with aggressive operator sharing? Weigh the expected area gain against the delay penalty, given the current delay figure.\n\n[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"reg2dp_in_precision\": [\n \"reg2dp_in_precision\"\n ],\n \"reg2dp_deconv_x_stride\": [\n \"reg2dp_deconv_x_stride\"\n ],\n \"cvif2rbk_rd_rsp_valid\": [\n \"cvif2rbk_rd_rsp_valid\"\n ],\n \"inwidth\": [\n \"inwid\n...[6211 chars elided]...\nperf_en\"\n ],\n \"rd_req_pd\": [\n \"rd_req_pd\",\n \"rbk2mcif_rd_req_pd\",\n \"rbk2cvif_rd_req_pd\"\n ],\n \"reg2dp_dain_line_stride\": [\n \"reg2dp_dain_line_stride\"\n ],\n \"rf_wr_addr\": [\n \"rf_wr_addr\"\n ],\n \"rf_rd_vld\": [\n \"rf_rd_vld\"\n ],\n \"rbk2mcif_wr_req_pd\": [\n \"rbk2mcif_wr_req_pd\"\n ]\n },\n \"alignment_score\": 100.0,\n \"unmapped_elements\": [],\n \"mapping_statistics\": {\n \"rtl_signals\": 108,\n \"netlist_wires\": 108,\n \"netlist_cells\": 0,\n \"mapped_signals\": 108,\n \"unmapped_signals\": 0\n },\n \"error\": null\n}\n\n[optimization_advisor {\"target_metric\": \"area\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"area\",\n \"recommended_recipes\": [\n \"synth -top NV_NVDLA_rubik -flatten\",\n \"opt -full; share -aggressive; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean -purge\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"resource_sharing\",\n \"description\": \"Share arithmetic operators\",\n \"command\": \"share -aggressive\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": -15.0,\n \"delay\": 5.0,\n \"power\": -10.0\n },\n \"trade_offs\": [\n \"Area optimization may increase delay\",\n \"Aggressive sharing increases routing complexity\"\n ],\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 11.0,\n \"delay\": 102.66,\n \"power\": 0.011,\n \"gate_count\": 11,\n \"cell_breakdown\": {\n \"NV_NVDLA_RUBIK_dma\": 1,\n \"NV_NVDLA_RUBIK_dr2drc\": 1,\n \"NV_NVDLA_RUBIK_intr\": 1,\n \"NV_NVDLA_RUBIK_regfile\": 1,\n \"NV_NVDLA_RUBIK_rf_core\": 1,\n \"NV_N\n...[1821 chars elided]...\n \"error\": null\n}", "plan_id": "05528b38dd79", "design_id": "722b5910a24b", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 3, "ctx_cap": 3300, "source": {"repository": "https://github.com/nvdla/hw", "commit": "8e06b1b9d85aab65b40d43d08eec5ea4681ff715", "path": "vmod/nvdla/rubik/NV_NVDLA_rubik.v", "sha256": "0308fae799e1747ec30f0f06701d84bcbeef1cd7bf2205df4e19470b2704e5ad"}} {"question": "For the OR2D1 module, does the RTL-to-netlist signal mapping agree with the structure of its CDFG? Please give the alignment score and the mapped signal count, and say how they relate to the operator and port nodes in the CDFG.", "answer": "The RTL-to-netlist mapping for OR2D1 is fully consistent: it has an alignment score of 100.0, all 3 RTL signals (A1, A2, Z) are mapped, and none are unmapped. This matches the CDFG, which has 4 nodes (1 $or operator, 2 port_input nodes and 1 port_output node) joined by 3 edges, so the module is just a single OR of A1 and A2 that drives Z.", "source_file": "github_repos/nvdla_hw/vmod/vlibs/OR2D1.v", "module_name": "OR2D1", "tool_name": "cross_stage_mapper+graph_extractor", "tool_parameters": [{}, {"graph_type": "CDFG"}], "tool_result": "[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"A1\": [\n \"A1\"\n ],\n \"A2\": [\n \"A2\"\n ],\n \"Z\": [\n \"Z\"\n ]\n },\n \"alignment_score\": 100.0,\n \"unmapped_elements\": [],\n \"mapping_statistics\": {\n \"rtl_signals\": 3,\n \"netlist_wires\": 6,\n \"netlist_cells\": 0,\n \"mapped_signals\": 3,\n \"unmapped_signals\": 0\n },\n \"error\": null\n}\n\n[graph_extractor {\"graph_type\": \"CDFG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"CDFG\",\n...[35 chars elided]...\n \"node_count\": 4,\n \"edge_count\": 3,\n \"graph_properties\": {\n \"node_types\": {\n \"$or\": 1,\n \"port_input\": 2,\n \"port_output\": 1\n },\n \"avg_degree\": 0.75,\n \"module_name\": \"OR2D1\"\n },\n \"error\": null\n}", "category": "multi_tool", "subcategory": "cross_stage_mapper+graph_extractor", "difficulty": "compositional", "question_hash": "f1439435cc9e", "stage1_target": "[{\"tool\": \"cross_stage_mapper\", \"parameters\": {}}, {\"tool\": \"graph_extractor\", \"parameters\": {\"graph_type\": \"CDFG\"}}]", "stage2_context": "Question: For the OR2D1 module, does the RTL-to-netlist signal mapping agree with the structure of its CDFG? Please give the alignment score and the mapped signal count, and say how they relate to the operator and port nodes in the CDFG.\n\n[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"A1\": [\n \"A1\"\n ],\n \"A2\": [\n \"A2\"\n ],\n \"Z\": [\n \"Z\"\n ]\n },\n \"alignment_score\": 100.0,\n \"unmapped_elements\": [],\n \"mapping_statistics\": {\n \"rtl_signals\": 3,\n \"netlist_wires\": 6,\n \"netlist_cells\": 0,\n \"mapped_signals\": 3,\n \"unmapped_signals\": 0\n },\n \"error\": null\n}\n\n[graph_extractor {\"graph_type\": \"CDFG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"CDFG\",\n...[35 chars elided]...\n \"node_count\": 4,\n \"edge_count\": 3,\n \"graph_properties\": {\n \"node_types\": {\n \"$or\": 1,\n \"port_input\": 2,\n \"port_output\": 1\n },\n \"avg_degree\": 0.75,\n \"module_name\": \"OR2D1\"\n },\n \"error\": null\n}", "plan_id": "421aee1db5cd", "design_id": "73c0ee3ec3f0", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/nvdla/hw", "commit": "8e06b1b9d85aab65b40d43d08eec5ea4681ff715", "path": "vmod/vlibs/OR2D1.v", "sha256": "9c9a70fb594f65d2d54c019ae4afb5135487073b97347103cd000a7f61921037"}} {"question": "For sirv_DeglitchShiftRegister, the source declares 9 regs in one always block, yet the medium-effort gate-level mapping shows only a handful of flip-flops. Does an aggressive area-targeted optimization recipe with operator sharing look worthwhile for this module, considering how simple the code is and what the current gate-level result is?", "answer": "Static analysis of sirv_DeglitchShiftRegister finds 9 regs, a cyclomatic complexity of 2 and no instantiations, and synthesis maps it to just 5 cells (4 $_DFF_P_ and 1 $_AND_) with an area of 17.0 and a delay of 210.69. The area recipe's estimated area change of -15.0 depends on 'share -aggressive' sharing arithmetic operators, but the mapped netlist contains no arithmetic logic to share, and the recipe also carries an estimated delay change of 5.0. So little real gain is likely.", "source_file": "github_repos/riscv-mcu_e203_hbirdv2/rtl/e203/perips/sirv_DeglitchShiftRegister.v", "module_name": "sirv_DeglitchShiftRegister", "tool_name": "optimization_advisor+static_analyzer+synthesis_tool", "tool_parameters": [{"target_metric": "area"}, {"analysis_type": "full"}, {"optimization_level": "medium"}], "tool_result": "[optimization_advisor {\"target_metric\": \"area\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"area\",\n \"recommended_recipes\": [\n \"synth -top sirv_DeglitchShiftRegister -flatten\",\n \"opt -full; share -aggressive; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean -purge\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"resource_sharing\",\n \"description\": \"Share arithmetic operators\",\n \"command\": \"share -aggressive\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": -15.0,\n \"delay\": 5.0,\n \"power\": -10.0\n },\n \"trade_offs\": [\n \"Area optimization may increase delay\",\n \"Aggressive sharing increases routing complexity\"\n ],\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"sirv_DeglitchShiftRegister\",\n \"port_count\": {\n \"inputs\": 3,\n \"outputs\": 1,\n \"inouts\": 0,\n \"total\": 4\n },\n \"signal_count\": {\n \"wires\": 1,\n \"regs\": 9,\n \"parameters\": 0,\n \"total\": 10\n },\n \"always_blocks\": 1,\n \"assign_statements\": 2,\n \"instantiations\": [],\n \"code_complexity\": {\n \"lines_of_code\": 36,\n \"total_lines\": 44,\n \"cyclomatic_complexity\": 2,\n \"nesting_depth\": 1,\n \"operator_count\": 23\n },\n \"lint_warnings\": [],\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 17.0,\n \"delay\": 210.69,\n \"power\": 0.005,\n \"gate_count\": 5,\n \"cell_breakdown\": {\n \"$_AND_\": 1,\n \"$_DFF_P_\": 4\n },\n \"wire_count\": 9,\n \"wire_bits\": 9,\n \"critical_path_estimate\": 210.69,\n...[1549 chars elided]...\n \"error\": null\n}", "category": "multi_tool", "subcategory": "optimization_advisor+static_analyzer+synthesis_tool", "difficulty": "compositional", "question_hash": "cb1aca1d9841", "stage1_target": "[{\"tool\": \"optimization_advisor\", \"parameters\": {\"target_metric\": \"area\"}}, {\"tool\": \"static_analyzer\", \"parameters\": {\"analysis_type\": \"full\"}}, {\"tool\": \"synthesis_tool\", \"parameters\": {\"optimization_level\": \"medium\"}}]", "stage2_context": "Question: For sirv_DeglitchShiftRegister, the source declares 9 regs in one always block, yet the medium-effort gate-level mapping shows only a handful of flip-flops. Does an aggressive area-targeted optimization recipe with operator sharing look worthwhile for this module, considering how simple the code is and what the current gate-level result is?\n\n[optimization_advisor {\"target_metric\": \"area\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"area\",\n \"recommended_recipes\": [\n \"synth -top sirv_DeglitchShiftRegister -flatten\",\n \"opt -full; share -aggressive; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean -purge\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"resource_sharing\",\n \"description\": \"Share arithmetic operators\",\n \"command\": \"share -aggressive\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": -15.0,\n \"delay\": 5.0,\n \"power\": -10.0\n },\n \"trade_offs\": [\n \"Area optimization may increase delay\",\n \"Aggressive sharing increases routing complexity\"\n ],\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"sirv_DeglitchShiftRegister\",\n \"port_count\": {\n \"inputs\": 3,\n \"outputs\": 1,\n \"inouts\": 0,\n \"total\": 4\n },\n \"signal_count\": {\n \"wires\": 1,\n \"regs\": 9,\n \"parameters\": 0,\n \"total\": 10\n },\n \"always_blocks\": 1,\n \"assign_statements\": 2,\n \"instantiations\": [],\n \"code_complexity\": {\n \"lines_of_code\": 36,\n \"total_lines\": 44,\n \"cyclomatic_complexity\": 2,\n \"nesting_depth\": 1,\n \"operator_count\": 23\n },\n \"lint_warnings\": [],\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 17.0,\n \"delay\": 210.69,\n \"power\": 0.005,\n \"gate_count\": 5,\n \"cell_breakdown\": {\n \"$_AND_\": 1,\n \"$_DFF_P_\": 4\n },\n \"wire_count\": 9,\n \"wire_bits\": 9,\n \"critical_path_estimate\": 210.69,\n...[1549 chars elided]...\n \"error\": null\n}", "plan_id": "c7edd68e6b78", "design_id": "74c4e0cfccf4", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 3, "ctx_cap": 3300, "source": {"repository": "https://github.com/riscv-mcu/e203_hbirdv2", "commit": "9f3e34f337f5d0a1236a285871ffa2032491617a", "path": "rtl/e203/perips/sirv_DeglitchShiftRegister.v", "sha256": "332ad5b31f2e002d14f4a278e1057aede1ba05d0ff16d494cb2b49b981ea53be"}} {"question": "For sirv_DeglitchShiftRegister, after a medium-effort synthesis, the netlist has four registers and one logic gate. If I follow the power-optimization recipe and add clock gating, how much power saving should I expect, what does it cost in area and delay, and does that cost make sense for a design this small?", "answer": "Synthesis of sirv_DeglitchShiftRegister gives 5 cells (4 $_DFF_P_ flip-flops and 1 $_AND_ gate), with area 17.0, delay 210.69 and power 0.005. The power-targeted clockgate recipe estimates a power change of -25.0 in exchange for +5.0 area and +5.0 delay. Because the design is almost all registers, clock gating applies to most of it, but at a baseline power of only 0.005, adding gating overhead and timing complexity may not be worth it.", "source_file": "github_repos/riscv-mcu_e203_hbirdv2/rtl/e203/perips/sirv_DeglitchShiftRegister.v", "module_name": "sirv_DeglitchShiftRegister", "tool_name": "optimization_advisor+synthesis_tool", "tool_parameters": [{"target_metric": "power"}, {"optimization_level": "medium"}], "tool_result": "[optimization_advisor {\"target_metric\": \"power\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"power\",\n \"recommended_recipes\": [\n \"synth -top sirv_DeglitchShiftRegister\",\n \"opt; share; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean; clockgate\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"clock_gating\",\n \"description\": \"Insert clock gating for registers\",\n \"command\": \"clockgate\"\n },\n {\n \"type\": \"operand_isolation\",\n \"description\": \"Isolate operands when not in use\",\n \"command\": \"Use enable signals for arithmetic\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": 5.0,\n \"delay\": 5.0,\n \"power\": -25.0\n },\n \"trade_offs\": [\n \"Power optimization may add area overhead\",\n \"Clock gating adds timing complexity\"\n ],\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 17.0,\n \"delay\": 210.69,\n \"power\": 0.005,\n \"gate_count\": 5,\n \"cell_breakdown\": {\n \"$_AND_\": 1,\n \"$_DFF_P_\": 4\n },\n \"wire_count\": 9,\n \"wire_bits\": 9,\n \"critical_path_estimate\": 210.69,\n...[1099 chars elided]...\n \"error\": null\n}", "category": "multi_tool", "subcategory": "optimization_advisor+synthesis_tool", "difficulty": "compositional", "question_hash": "94ce38a765e5", "stage1_target": "[{\"tool\": \"optimization_advisor\", \"parameters\": {\"target_metric\": \"power\"}}, {\"tool\": \"synthesis_tool\", \"parameters\": {\"optimization_level\": \"medium\"}}]", "stage2_context": "Question: For sirv_DeglitchShiftRegister, after a medium-effort synthesis, the netlist has four registers and one logic gate. If I follow the power-optimization recipe and add clock gating, how much power saving should I expect, what does it cost in area and delay, and does that cost make sense for a design this small?\n\n[optimization_advisor {\"target_metric\": \"power\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"power\",\n \"recommended_recipes\": [\n \"synth -top sirv_DeglitchShiftRegister\",\n \"opt; share; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean; clockgate\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"clock_gating\",\n \"description\": \"Insert clock gating for registers\",\n \"command\": \"clockgate\"\n },\n {\n \"type\": \"operand_isolation\",\n \"description\": \"Isolate operands when not in use\",\n \"command\": \"Use enable signals for arithmetic\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": 5.0,\n \"delay\": 5.0,\n \"power\": -25.0\n },\n \"trade_offs\": [\n \"Power optimization may add area overhead\",\n \"Clock gating adds timing complexity\"\n ],\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 17.0,\n \"delay\": 210.69,\n \"power\": 0.005,\n \"gate_count\": 5,\n \"cell_breakdown\": {\n \"$_AND_\": 1,\n \"$_DFF_P_\": 4\n },\n \"wire_count\": 9,\n \"wire_bits\": 9,\n \"critical_path_estimate\": 210.69,\n...[1099 chars elided]...\n \"error\": null\n}", "plan_id": "198ede222cf9", "design_id": "74c4e0cfccf4", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/riscv-mcu/e203_hbirdv2", "commit": "9f3e34f337f5d0a1236a285871ffa2032491617a", "path": "rtl/e203/perips/sirv_DeglitchShiftRegister.v", "sha256": "332ad5b31f2e002d14f4a278e1057aede1ba05d0ff16d494cb2b49b981ea53be"}} {"question": "For sirv_tl_repeater_5, the source has 16 declared regs in 2 always blocks, but medium-effort synthesis produces a lot of flip-flops. How does the flip-flop count compare with the RTL structure, and what share of the synthesized area and timing goes to the combinational logic around those registers?", "answer": "sirv_tl_repeater_5 declares 16 regs in 2 always blocks, with a cyclomatic complexity of 16 and a nesting depth of 14, yet synthesis maps them to 78 $_DFFE_PP0P_ enable flip-flops, so these regs are multi-bit holding registers for the repeated TileLink fields. The other cells in the 318-cell, 357.0-area result are mostly NAND (154) and ORNOT (77) gates, which form the mux and enable logic, and the critical path is 267.83.", "source_file": "github_repos/riscv-mcu_e203_hbirdv2/rtl/e203/perips/sirv_tl_repeater_5.v", "module_name": "sirv_tl_repeater_5", "tool_name": "static_analyzer+synthesis_tool", "tool_parameters": [{"analysis_type": "full"}, {"optimization_level": "medium"}], "tool_result": "[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"sirv_tl_repeater_5\",\n \"port_count\": {\n \"inputs\": 12,\n \"outputs\": 10,\n \"inouts\": 0,\n \"total\": 22\n },\n \"signal_count\": {\n \"wires\": 24,\n \"regs\": 16,\n \"parameters\": 0,\n \"total\": 40\n },\n \"always_blocks\": 2,\n \"assign_statements\": 34,\n \"instantiations\": [],\n \"code_complexity\": {\n \"lines_of_code\": 156,\n \"total_lines\": 168,\n \"cyclomatic_complexity\": 16,\n \"nesting_depth\": 14,\n \"operator_count\": 88\n },\n \"lint_warnings\": [],\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 357.0,\n \"delay\": 267.83,\n \"power\": 0.318,\n \"gate_count\": 318,\n \"cell_breakdown\": {\n \"$_ANDNOT_\": 2,\n \"$_AND_\": 4,\n \"$_DFFE_PP0P_\": 78,\n \"$_NAND_\": 154,\n \"$_NOT_\": 1,\n \"$_ORNOT_\": 77,\n \"$_OR_\": 2\n },\n \"wire_count\": 200,\n \"wire_bits\": 480,\n \"critical_path_estimate\": 267.83,\n...[1223 chars elided]...\n \"error\": null\n}", "category": "multi_tool", "subcategory": "static_analyzer+synthesis_tool", "difficulty": "compositional", "question_hash": "a01c44bacea0", "stage1_target": "[{\"tool\": \"static_analyzer\", \"parameters\": {\"analysis_type\": \"full\"}}, {\"tool\": \"synthesis_tool\", \"parameters\": {\"optimization_level\": \"medium\"}}]", "stage2_context": "Question: For sirv_tl_repeater_5, the source has 16 declared regs in 2 always blocks, but medium-effort synthesis produces a lot of flip-flops. How does the flip-flop count compare with the RTL structure, and what share of the synthesized area and timing goes to the combinational logic around those registers?\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"sirv_tl_repeater_5\",\n \"port_count\": {\n \"inputs\": 12,\n \"outputs\": 10,\n \"inouts\": 0,\n \"total\": 22\n },\n \"signal_count\": {\n \"wires\": 24,\n \"regs\": 16,\n \"parameters\": 0,\n \"total\": 40\n },\n \"always_blocks\": 2,\n \"assign_statements\": 34,\n \"instantiations\": [],\n \"code_complexity\": {\n \"lines_of_code\": 156,\n \"total_lines\": 168,\n \"cyclomatic_complexity\": 16,\n \"nesting_depth\": 14,\n \"operator_count\": 88\n },\n \"lint_warnings\": [],\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 357.0,\n \"delay\": 267.83,\n \"power\": 0.318,\n \"gate_count\": 318,\n \"cell_breakdown\": {\n \"$_ANDNOT_\": 2,\n \"$_AND_\": 4,\n \"$_DFFE_PP0P_\": 78,\n \"$_NAND_\": 154,\n \"$_NOT_\": 1,\n \"$_ORNOT_\": 77,\n \"$_OR_\": 2\n },\n \"wire_count\": 200,\n \"wire_bits\": 480,\n \"critical_path_estimate\": 267.83,\n...[1223 chars elided]...\n \"error\": null\n}", "plan_id": "bfa765511338", "design_id": "77950bf6df3d", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/riscv-mcu/e203_hbirdv2", "commit": "9f3e34f337f5d0a1236a285871ffa2032491617a", "path": "rtl/e203/perips/sirv_tl_repeater_5.v", "sha256": "155959f1b8ed74c808339a03d1a30f253f328685650ba7cde07def693abb258f"}} {"question": "For riscv_xilinx_2r1w, how well do the RTL signals line up with the netlist, and which unmapped elements could be explained by the memory primitives the code instantiates? Please also give the module's code complexity, including its cyclomatic complexity and number of always blocks.", "answer": "The RTL-to-netlist alignment score for riscv_xilinx_2r1w is 76.47, with 13 of 17 RTL signals mapped. The unmapped elements DPO, adr, mem and A0 look like internals or ports of the instantiated RAM16X1D primitives. Static analysis shows a cyclomatic complexity of 8, 2 always blocks and 10 assign statements.", "source_file": "github_repos/ultraembedded_riscv/core/riscv/riscv_xilinx_2r1w.v", "module_name": "riscv_xilinx_2r1w", "tool_name": "cross_stage_mapper+static_analyzer", "tool_parameters": [{}, {"analysis_type": "full"}], "tool_result": "[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"rs1_16_31_w\": [\n \"rs1_16_31_w\"\n ],\n \"clk_i\": [\n \"clk_i\"\n ],\n \"rst_i\": [\n \"rst_i\"\n ],\n \"DPO\": [],\n \"adr\": [],\n \"ra_value_r\": [\n \"ra_value_r\"\n ],\n \"reg_rs2_w\": [\n \"reg_rs2_w\"\n ],\n \"reg_rs1_w\": [\n \"reg_rs1_w\"\n ],\n \"write_banka_w\": [\n \"write_banka_w\"\n ],\n \"rs1_0_15_w\": [\n \"rs1_0_15_w\"\n ],\n \"rb_value_r\": [\n \"rb_value_r\"\n ],\n \"mem\": [],\n \"rs2_0_15_w\": [\n \"rs2_0_15_w\"\n ],\n \"write_enable_w\": [\n \"write_enable_w\"\n ],\n \"write_bankb_w\": [\n \"write_bankb_w\"\n ],\n \"rs2_16_31_w\": [\n \"rs2_16_31_w\"\n ],\n \"A0\": []\n },\n \"alignment_score\": 76.47,\n \"unmapped_elements\": [\n \"DPO\",\n \"adr\",\n \"mem\",\n \"A0\"\n ],\n \"mapping_statistics\": {\n \"rtl_signals\": 17,\n \"netlist_wires\": 443,\n \"netlist_cells\": 0,\n \"mapped_signals\": 13,\n \"unmapped_signals\": 4\n },\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"riscv_xilinx_2r1w\",\n \"port_count\": {\n \"inputs\": 3,\n \"outputs\": 1,\n \"inouts\": 0,\n \"total\": 4\n },\n \"signal_count\": {\n \"wires\": 10,\n \"regs\": 3,\n \"parameters\": 1,\n \"total\": 13\n },\n \"always_blocks\": 2,\n \"assign_statements\": 10,\n \"instantiations\": [\n \"RAM16X1D\",\n \"Register\",\n \"generate\",\n \"register\",\n \"CONSEQUENTIAL\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 73,\n \"total_lines\": 157,\n \"cyclomatic_complexity\": 8,\n \"nesting_depth\": 3,\n \"operator_count\": 1028\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "category": "multi_tool", "subcategory": "cross_stage_mapper+static_analyzer", "difficulty": "compositional", "question_hash": "68f47dc4d540", "stage1_target": "[{\"tool\": \"cross_stage_mapper\", \"parameters\": {}}, {\"tool\": \"static_analyzer\", \"parameters\": {\"analysis_type\": \"full\"}}]", "stage2_context": "Question: For riscv_xilinx_2r1w, how well do the RTL signals line up with the netlist, and which unmapped elements could be explained by the memory primitives the code instantiates? Please also give the module's code complexity, including its cyclomatic complexity and number of always blocks.\n\n[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"rs1_16_31_w\": [\n \"rs1_16_31_w\"\n ],\n \"clk_i\": [\n \"clk_i\"\n ],\n \"rst_i\": [\n \"rst_i\"\n ],\n \"DPO\": [],\n \"adr\": [],\n \"ra_value_r\": [\n \"ra_value_r\"\n ],\n \"reg_rs2_w\": [\n \"reg_rs2_w\"\n ],\n \"reg_rs1_w\": [\n \"reg_rs1_w\"\n ],\n \"write_banka_w\": [\n \"write_banka_w\"\n ],\n \"rs1_0_15_w\": [\n \"rs1_0_15_w\"\n ],\n \"rb_value_r\": [\n \"rb_value_r\"\n ],\n \"mem\": [],\n \"rs2_0_15_w\": [\n \"rs2_0_15_w\"\n ],\n \"write_enable_w\": [\n \"write_enable_w\"\n ],\n \"write_bankb_w\": [\n \"write_bankb_w\"\n ],\n \"rs2_16_31_w\": [\n \"rs2_16_31_w\"\n ],\n \"A0\": []\n },\n \"alignment_score\": 76.47,\n \"unmapped_elements\": [\n \"DPO\",\n \"adr\",\n \"mem\",\n \"A0\"\n ],\n \"mapping_statistics\": {\n \"rtl_signals\": 17,\n \"netlist_wires\": 443,\n \"netlist_cells\": 0,\n \"mapped_signals\": 13,\n \"unmapped_signals\": 4\n },\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"riscv_xilinx_2r1w\",\n \"port_count\": {\n \"inputs\": 3,\n \"outputs\": 1,\n \"inouts\": 0,\n \"total\": 4\n },\n \"signal_count\": {\n \"wires\": 10,\n \"regs\": 3,\n \"parameters\": 1,\n \"total\": 13\n },\n \"always_blocks\": 2,\n \"assign_statements\": 10,\n \"instantiations\": [\n \"RAM16X1D\",\n \"Register\",\n \"generate\",\n \"register\",\n \"CONSEQUENTIAL\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 73,\n \"total_lines\": 157,\n \"cyclomatic_complexity\": 8,\n \"nesting_depth\": 3,\n \"operator_count\": 1028\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "plan_id": "d4694f886fb8", "design_id": "77ef9e2d4358", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/ultraembedded/riscv", "commit": "7ae6f803e30f78c6ea3121e73c3adf50ff912730", "path": "core/riscv/riscv_xilinx_2r1w.v", "sha256": "4687449f57fcd33deef04bff381a6f4af27b31699d9baa3173eab9283837abab"}} {"question": "For e203_soc_top, the static check counts 18 input ports, but how many input port nodes appear in its AIG graph, and does the module contain any registers that the power-oriented clock-gating recommendation could act on directly?", "answer": "The AIG graph of e203_soc_top has 17 port_input nodes and 20 port_output nodes around a single e203_subsys_top instance, while the static check reports 18 inputs, 20 outputs, 0 regs and 0 always blocks. The power-targeted plan recommends \"opt_clean; clockgate\" for an estimated power change of -25.0, but with 0 registers at this top level, any clock gating would have to apply inside the instantiated e203_subsys_top hierarchy.", "source_file": "github_repos/riscv-mcu_e203_hbirdv2/rtl/e203/soc/e203_soc_top.v", "module_name": "e203_soc_top", "tool_name": "graph_extractor+optimization_advisor+static_analyzer", "tool_parameters": [{"graph_type": "AIG"}, {"target_metric": "power"}, {"analysis_type": "full"}], "tool_result": "[graph_extractor {\"graph_type\": \"AIG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"AIG\",\n...[28126 chars elided]...\n \"node_count\": 38,\n \"edge_count\": 343,\n \"graph_properties\": {\n \"node_types\": {\n \"e203_subsys_top\": 1,\n \"port_input\": 17,\n \"port_output\": 20\n },\n \"avg_degree\": 9.03,\n \"module_name\": \"e203_soc_top\"\n },\n \"error\": null\n}\n\n[optimization_advisor {\"target_metric\": \"power\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"power\",\n \"recommended_recipes\": [\n \"synth -top e203_soc_top\",\n \"opt; share; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean; clockgate\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"clock_gating\",\n \"description\": \"Insert clock gating for registers\",\n \"command\": \"clockgate\"\n },\n {\n \"type\": \"operand_isolation\",\n \"description\": \"Isolate operands when not in use\",\n \"command\": \"Use enable signals for arithmetic\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": 5.0,\n \"delay\": 5.0,\n \"power\": -25.0\n },\n \"trade_offs\": [\n \"Power optimization may add area overhead\",\n \"Clock gating adds timing complexity\"\n ],\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"e203_soc_top\",\n \"port_count\": {\n \"inputs\": 18,\n \"outputs\": 20,\n \"inouts\": 0,\n \"total\": 38\n },\n \"signal_count\": {\n \"wires\": 6,\n \"regs\": 0,\n \"parameters\": 0,\n \"total\": 6\n },\n \"always_blocks\": 0,\n \"assign_statements\": 0,\n \"instantiations\": [\n \"speed\",\n \"e203_subsys_top\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 208,\n \"total_lines\": 287,\n \"cyclomatic_complexity\": 2,\n \"nesting_depth\": 0,\n \"operator_count\": 65\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "category": "multi_tool", "subcategory": "graph_extractor+optimization_advisor+static_analyzer", "difficulty": "compositional", "question_hash": "a316a66e4439", "stage1_target": "[{\"tool\": \"graph_extractor\", \"parameters\": {\"graph_type\": \"AIG\"}}, {\"tool\": \"optimization_advisor\", \"parameters\": {\"target_metric\": \"power\"}}, {\"tool\": \"static_analyzer\", \"parameters\": {\"analysis_type\": \"full\"}}]", "stage2_context": "Question: For e203_soc_top, the static check counts 18 input ports, but how many input port nodes appear in its AIG graph, and does the module contain any registers that the power-oriented clock-gating recommendation could act on directly?\n\n[graph_extractor {\"graph_type\": \"AIG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"AIG\",\n...[28126 chars elided]...\n \"node_count\": 38,\n \"edge_count\": 343,\n \"graph_properties\": {\n \"node_types\": {\n \"e203_subsys_top\": 1,\n \"port_input\": 17,\n \"port_output\": 20\n },\n \"avg_degree\": 9.03,\n \"module_name\": \"e203_soc_top\"\n },\n \"error\": null\n}\n\n[optimization_advisor {\"target_metric\": \"power\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"power\",\n \"recommended_recipes\": [\n \"synth -top e203_soc_top\",\n \"opt; share; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean; clockgate\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"clock_gating\",\n \"description\": \"Insert clock gating for registers\",\n \"command\": \"clockgate\"\n },\n {\n \"type\": \"operand_isolation\",\n \"description\": \"Isolate operands when not in use\",\n \"command\": \"Use enable signals for arithmetic\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": 5.0,\n \"delay\": 5.0,\n \"power\": -25.0\n },\n \"trade_offs\": [\n \"Power optimization may add area overhead\",\n \"Clock gating adds timing complexity\"\n ],\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"e203_soc_top\",\n \"port_count\": {\n \"inputs\": 18,\n \"outputs\": 20,\n \"inouts\": 0,\n \"total\": 38\n },\n \"signal_count\": {\n \"wires\": 6,\n \"regs\": 0,\n \"parameters\": 0,\n \"total\": 6\n },\n \"always_blocks\": 0,\n \"assign_statements\": 0,\n \"instantiations\": [\n \"speed\",\n \"e203_subsys_top\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 208,\n \"total_lines\": 287,\n \"cyclomatic_complexity\": 2,\n \"nesting_depth\": 0,\n \"operator_count\": 65\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "plan_id": "2e76fd33bcc7", "design_id": "78fbfc145700", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 3, "ctx_cap": 3300, "source": {"repository": "https://github.com/riscv-mcu/e203_hbirdv2", "commit": "9f3e34f337f5d0a1236a285871ffa2032491617a", "path": "rtl/e203/soc/e203_soc_top.v", "sha256": "97bfe3fd1119b4682589a48f57a60e108d496e2c1c1a53d7c0255b50fe79c02b"}} {"question": "In the CDFG of riscv_xilinx_2r1w, the register file appears to be built mostly from distributed RAM primitives rather than discrete flip-flops. Given that, how much should I expect from the power-oriented optimization plan's clock-gating step, and what power improvement does it estimate?", "answer": "The CDFG for riscv_xilinx_2r1w has 146 nodes, and 128 of them are RAM16X1D primitives, with only 4 $mux and 2 $and logic cells besides them. That means the 'clockgate' step in the power-targeted plan has few discrete registers to gate, so the estimated power change of -25.0 (with area and delay each at 5.0 overhead) is probably optimistic for this design.", "source_file": "github_repos/ultraembedded_riscv/core/riscv/riscv_xilinx_2r1w.v", "module_name": "riscv_xilinx_2r1w", "tool_name": "graph_extractor+optimization_advisor", "tool_parameters": [{"graph_type": "CDFG"}, {"target_metric": "power"}], "tool_result": "[graph_extractor {\"graph_type\": \"CDFG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"CDFG\",\n...[46006 chars elided]...\n \"node_count\": 146,\n \"edge_count\": 1950,\n \"graph_properties\": {\n \"node_types\": {\n \"$mux\": 4,\n \"$reduce_bool\": 1,\n \"$and\": 2,\n \"$not\": 1,\n \"$logic_not\": 2,\n \"RAM16X1D\": 128,\n \"port_input\": 6,\n \"port_output\": 2\n },\n \"avg_degree\": 13.36,\n \"module_name\": \"riscv_xilinx_2r1w\"\n },\n \"error\": null\n}\n\n[optimization_advisor {\"target_metric\": \"power\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"power\",\n \"recommended_recipes\": [\n \"synth -top riscv_xilinx_2r1w\",\n \"opt; share; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean; clockgate\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"clock_gating\",\n \"description\": \"Insert clock gating for registers\",\n \"command\": \"clockgate\"\n },\n {\n \"type\": \"operand_isolation\",\n \"description\": \"Isolate operands when not in use\",\n \"command\": \"Use enable signals for arithmetic\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": 5.0,\n \"delay\": 5.0,\n \"power\": -25.0\n },\n \"trade_offs\": [\n \"Power optimization may add area overhead\",\n \"Clock gating adds timing complexity\"\n ],\n \"error\": null\n}", "category": "multi_tool", "subcategory": "graph_extractor+optimization_advisor", "difficulty": "compositional", "question_hash": "ca36126ef32f", "stage1_target": "[{\"tool\": \"graph_extractor\", \"parameters\": {\"graph_type\": \"CDFG\"}}, {\"tool\": \"optimization_advisor\", \"parameters\": {\"target_metric\": \"power\"}}]", "stage2_context": "Question: In the CDFG of riscv_xilinx_2r1w, the register file appears to be built mostly from distributed RAM primitives rather than discrete flip-flops. Given that, how much should I expect from the power-oriented optimization plan's clock-gating step, and what power improvement does it estimate?\n\n[graph_extractor {\"graph_type\": \"CDFG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"CDFG\",\n...[46006 chars elided]...\n \"node_count\": 146,\n \"edge_count\": 1950,\n \"graph_properties\": {\n \"node_types\": {\n \"$mux\": 4,\n \"$reduce_bool\": 1,\n \"$and\": 2,\n \"$not\": 1,\n \"$logic_not\": 2,\n \"RAM16X1D\": 128,\n \"port_input\": 6,\n \"port_output\": 2\n },\n \"avg_degree\": 13.36,\n \"module_name\": \"riscv_xilinx_2r1w\"\n },\n \"error\": null\n}\n\n[optimization_advisor {\"target_metric\": \"power\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"power\",\n \"recommended_recipes\": [\n \"synth -top riscv_xilinx_2r1w\",\n \"opt; share; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean; clockgate\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"clock_gating\",\n \"description\": \"Insert clock gating for registers\",\n \"command\": \"clockgate\"\n },\n {\n \"type\": \"operand_isolation\",\n \"description\": \"Isolate operands when not in use\",\n \"command\": \"Use enable signals for arithmetic\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": 5.0,\n \"delay\": 5.0,\n \"power\": -25.0\n },\n \"trade_offs\": [\n \"Power optimization may add area overhead\",\n \"Clock gating adds timing complexity\"\n ],\n \"error\": null\n}", "plan_id": "8a00c8d09f9d", "design_id": "77ef9e2d4358", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/ultraembedded/riscv", "commit": "7ae6f803e30f78c6ea3121e73c3adf50ff912730", "path": "core/riscv/riscv_xilinx_2r1w.v", "sha256": "4687449f57fcd33deef04bff381a6f4af27b31699d9baa3173eab9283837abab"}} {"question": "For nv_ram_rwsp_80x16, how well do the RTL signals map onto the netlist, and how does that fit with the module's structure (ports, instantiated cells, complexity) and with what an area-focused optimization plan says it could gain?", "answer": "In nv_ram_rwsp_80x16, only 65 of the 154 RTL signals map to the netlist and 89 are unmapped (for example, the shadow_mem_row registers). The netlist has 64 wires and 0 cells, which fits a module with 19 ports, 0 always blocks and 0 assign statements that mostly instantiates hard macros such as RAMPDP_80X16_GL_M2_D2. Because of that, the area-focused plan's estimated -15.0 area improvement (with a 5.0 delay penalty) would probably make little difference.", "source_file": "github_repos/nvdla_hw/vmod/rams/synth/nv_ram_rwsp_80x16.v", "module_name": "nv_ram_rwsp_80x16", "tool_name": "cross_stage_mapper+optimization_advisor+static_analyzer", "tool_parameters": [{}, {"target_metric": "area"}, {"analysis_type": "full"}], "tool_result": "[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"mbist_en_sync\": [\n \"mbist_en_sync\",\n \"pre_mbist_en_sync\"\n ],\n \"shadow_mem_row79\": [],\n \"mbist_ce_r0\": [\n \"mbist_ce_r0\",\n \"pre_mbist_ce_r0\"\n ],\n \"shadow_mem_row29\": [],\n \"shadow_mem_row68\":\n...[6600 chars elided]...\now_mem_row68\",\n \"shadow_mem_row8\",\n \"shadow_mem_row47\",\n \"string\",\n \"shadow_mem_row69\",\n \"shadow_mem_row6\",\n \"shadow_mem_row41\",\n \"shadow_mem_row56\",\n \"integer\",\n \"shadow_mem_row38\",\n \"shadow_mem_row23\",\n \"disable_clear_mem\",\n \"shadow_mem_row35\",\n \"shadow_mem_row25\",\n \"shadow_mem_row78\",\n \"shadow_mem_row9\",\n \"random_num\",\n \"shadow_mem_row46\"\n ],\n \"mapping_statistics\": {\n \"rtl_signals\": 154,\n \"netlist_wires\": 64,\n \"netlist_cells\": 0,\n \"mapped_signals\": 65,\n \"unmapped_signals\": 89\n },\n \"error\": null\n}\n\n[optimization_advisor {\"target_metric\": \"area\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"area\",\n \"recommended_recipes\": [\n \"synth -top nv_ram_rwsp_80x16 -flatten\",\n \"opt -full; share -aggressive; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean -purge\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\":\n...[81 chars elided]...\n \"estimated_improvement\": {\n \"area\": -15.0,\n \"delay\": 5.0,\n \"power\": -10.0\n },\n \"trade_offs\": [\n \"Area optimization may increase delay\",\n \"Aggressive sharing increases routing complexity\"\n ],\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"nv_ram_rwsp_80x16\",\n \"port_count\": {\n \"inputs\": 17,\n \"outputs\": 2,\n \"inouts\": 0,\n \"total\": 19\n },\n \"signal_count\": {\n \"wires\": 135,\n \"regs\": 7,\n \"parameters\": 1,\n \"total\": 142\n },\n \"always_blocks\": 0,\n \"assign_statements\": 0,\n \"instantiations\": [\n \"RAMPDP_80X16_GL_M2_D2\",\n \"NV_BLKBOX_SRC0_X\",\n \"RANDFUNC\",\n \"AN2D4PO4\",\n \"NV_BLKBOX_SINK\",\n \"NV_BLKBOX_SRC0\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 450,\n \"total_lines\": 541,\n \"cyclomatic_complexity\": 16,\n \"nesting_depth\": 18,\n \"operator_count\": 426\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "category": "multi_tool", "subcategory": "cross_stage_mapper+optimization_advisor+static_analyzer", "difficulty": "compositional", "question_hash": "e1667510c87d", "stage1_target": "[{\"tool\": \"cross_stage_mapper\", \"parameters\": {}}, {\"tool\": \"optimization_advisor\", \"parameters\": {\"target_metric\": \"area\"}}, {\"tool\": \"static_analyzer\", \"parameters\": {\"analysis_type\": \"full\"}}]", "stage2_context": "Question: For nv_ram_rwsp_80x16, how well do the RTL signals map onto the netlist, and how does that fit with the module's structure (ports, instantiated cells, complexity) and with what an area-focused optimization plan says it could gain?\n\n[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"mbist_en_sync\": [\n \"mbist_en_sync\",\n \"pre_mbist_en_sync\"\n ],\n \"shadow_mem_row79\": [],\n \"mbist_ce_r0\": [\n \"mbist_ce_r0\",\n \"pre_mbist_ce_r0\"\n ],\n \"shadow_mem_row29\": [],\n \"shadow_mem_row68\":\n...[6600 chars elided]...\now_mem_row68\",\n \"shadow_mem_row8\",\n \"shadow_mem_row47\",\n \"string\",\n \"shadow_mem_row69\",\n \"shadow_mem_row6\",\n \"shadow_mem_row41\",\n \"shadow_mem_row56\",\n \"integer\",\n \"shadow_mem_row38\",\n \"shadow_mem_row23\",\n \"disable_clear_mem\",\n \"shadow_mem_row35\",\n \"shadow_mem_row25\",\n \"shadow_mem_row78\",\n \"shadow_mem_row9\",\n \"random_num\",\n \"shadow_mem_row46\"\n ],\n \"mapping_statistics\": {\n \"rtl_signals\": 154,\n \"netlist_wires\": 64,\n \"netlist_cells\": 0,\n \"mapped_signals\": 65,\n \"unmapped_signals\": 89\n },\n \"error\": null\n}\n\n[optimization_advisor {\"target_metric\": \"area\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"area\",\n \"recommended_recipes\": [\n \"synth -top nv_ram_rwsp_80x16 -flatten\",\n \"opt -full; share -aggressive; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean -purge\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\":\n...[81 chars elided]...\n \"estimated_improvement\": {\n \"area\": -15.0,\n \"delay\": 5.0,\n \"power\": -10.0\n },\n \"trade_offs\": [\n \"Area optimization may increase delay\",\n \"Aggressive sharing increases routing complexity\"\n ],\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"nv_ram_rwsp_80x16\",\n \"port_count\": {\n \"inputs\": 17,\n \"outputs\": 2,\n \"inouts\": 0,\n \"total\": 19\n },\n \"signal_count\": {\n \"wires\": 135,\n \"regs\": 7,\n \"parameters\": 1,\n \"total\": 142\n },\n \"always_blocks\": 0,\n \"assign_statements\": 0,\n \"instantiations\": [\n \"RAMPDP_80X16_GL_M2_D2\",\n \"NV_BLKBOX_SRC0_X\",\n \"RANDFUNC\",\n \"AN2D4PO4\",\n \"NV_BLKBOX_SINK\",\n \"NV_BLKBOX_SRC0\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 450,\n \"total_lines\": 541,\n \"cyclomatic_complexity\": 16,\n \"nesting_depth\": 18,\n \"operator_count\": 426\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "plan_id": "bcbec575758d", "design_id": "79c5db293074", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 3, "ctx_cap": 3300, "source": {"repository": "https://github.com/nvdla/hw", "commit": "8e06b1b9d85aab65b40d43d08eec5ea4681ff715", "path": "vmod/rams/synth/nv_ram_rwsp_80x16.v", "sha256": "124d3c023c63286aa3199d11d2105e6d204b14bd64e4cf3e2504394c9cbc1152"}} {"question": "For sirv_AsyncResetRegVec_1, how well do the RTL signals line up with the synthesized netlist, and what does the synthesized netlist look like in terms of cells, area, and delay at medium optimization?", "answer": "sirv_AsyncResetRegVec_1 maps cleanly from RTL to netlist: all 39 RTL signals match 39 netlist wires, with an alignment score of 100.0 and no unmapped signals. At medium optimization the netlist contains 5 sirv_AsyncResetReg cells, with an area of 5.0, a delay of 81.03, and a power of 0.005.", "source_file": "github_repos/riscv-mcu_e203_hbirdv2/rtl/e203/perips/sirv_AsyncResetRegVec_1.v", "module_name": "sirv_AsyncResetRegVec_1", "tool_name": "cross_stage_mapper+synthesis_tool", "tool_parameters": [{}, {"optimization_level": "medium"}], "tool_result": "[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"T_13\": [\n \"T_13\"\n ],\n \"reg_1_clk\": [\n \"reg_1_clk\"\n ],\n \"reg_2_en\": [\n \"reg_2_en\"\n ],\n \"clock\": [\n \"clock\"\n ],\n \"reg_1_q\": [\n \"reg_1_q\"\n ],\n \"reg_3_en\": [\n \"reg_3_en\"\n ],\n \"T_14\": [\n \"T_14\"\n ],\n \"reg_0_en\": [\n \"reg_0_en\"\n ],\n \"reg_1_en\": [\n \"reg_1_en\"\n ],\n \"T_11\": [\n \"T_11\n...[504 chars elided]...\n \"io_q\"\n ],\n \"reg_1_d\": [\n \"reg_1_d\"\n ],\n \"reg_4_q\": [\n \"reg_4_q\"\n ],\n \"reset\": [\n \"reset\"\n ],\n \"reg_0_clk\": [\n \"reg_0_clk\"\n ],\n \"reg_3_clk\": [\n \"reg_3_clk\"\n ],\n \"reg_3_q\": [\n \"reg_3_q\"\n ],\n \"reg_4_rst\": [\n \"reg_4_rst\"\n ],\n \"reg_2_d\": [\n \"reg_2_d\"\n ],\n \"T_15\": [\n \"T_15\"\n ],\n \"T_16\": [\n \"T_16\"\n ],\n \"reg_2_clk\": [\n \"reg_2_clk\"\n ],\n \"T_10\": [\n \"T_10\"\n ],\n \"reg_3_d\": [\n \"reg_3_d\"\n ],\n \"io_d\": [\n \"io_d\"\n ],\n \"reg_3_rst\": [\n \"reg_3_rst\"\n ],\n \"T_12\": [\n \"T_12\"\n ]\n },\n \"alignment_score\": 100.0,\n \"unmapped_elements\": [],\n \"mapping_statistics\": {\n \"rtl_signals\": 39,\n \"netlist_wires\": 39,\n \"netlist_cells\": 0,\n \"mapped_signals\": 39,\n \"unmapped_signals\": 0\n },\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 5.0,\n \"delay\": 81.03,\n \"power\": 0.005,\n \"gate_count\": 5,\n \"cell_breakdown\": {\n \"sirv_AsyncResetReg\": 5\n },\n \"wire_count\": 39,\n \"wire_bits\": 55,\n \"critical_path_estimate\": 81.03,\n...[1082 chars elided]...\n \"error\": null\n}", "category": "multi_tool", "subcategory": "cross_stage_mapper+synthesis_tool", "difficulty": "compositional", "question_hash": "cd05a531e167", "stage1_target": "[{\"tool\": \"cross_stage_mapper\", \"parameters\": {}}, {\"tool\": \"synthesis_tool\", \"parameters\": {\"optimization_level\": \"medium\"}}]", "stage2_context": "Question: For sirv_AsyncResetRegVec_1, how well do the RTL signals line up with the synthesized netlist, and what does the synthesized netlist look like in terms of cells, area, and delay at medium optimization?\n\n[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"T_13\": [\n \"T_13\"\n ],\n \"reg_1_clk\": [\n \"reg_1_clk\"\n ],\n \"reg_2_en\": [\n \"reg_2_en\"\n ],\n \"clock\": [\n \"clock\"\n ],\n \"reg_1_q\": [\n \"reg_1_q\"\n ],\n \"reg_3_en\": [\n \"reg_3_en\"\n ],\n \"T_14\": [\n \"T_14\"\n ],\n \"reg_0_en\": [\n \"reg_0_en\"\n ],\n \"reg_1_en\": [\n \"reg_1_en\"\n ],\n \"T_11\": [\n \"T_11\n...[504 chars elided]...\n \"io_q\"\n ],\n \"reg_1_d\": [\n \"reg_1_d\"\n ],\n \"reg_4_q\": [\n \"reg_4_q\"\n ],\n \"reset\": [\n \"reset\"\n ],\n \"reg_0_clk\": [\n \"reg_0_clk\"\n ],\n \"reg_3_clk\": [\n \"reg_3_clk\"\n ],\n \"reg_3_q\": [\n \"reg_3_q\"\n ],\n \"reg_4_rst\": [\n \"reg_4_rst\"\n ],\n \"reg_2_d\": [\n \"reg_2_d\"\n ],\n \"T_15\": [\n \"T_15\"\n ],\n \"T_16\": [\n \"T_16\"\n ],\n \"reg_2_clk\": [\n \"reg_2_clk\"\n ],\n \"T_10\": [\n \"T_10\"\n ],\n \"reg_3_d\": [\n \"reg_3_d\"\n ],\n \"io_d\": [\n \"io_d\"\n ],\n \"reg_3_rst\": [\n \"reg_3_rst\"\n ],\n \"T_12\": [\n \"T_12\"\n ]\n },\n \"alignment_score\": 100.0,\n \"unmapped_elements\": [],\n \"mapping_statistics\": {\n \"rtl_signals\": 39,\n \"netlist_wires\": 39,\n \"netlist_cells\": 0,\n \"mapped_signals\": 39,\n \"unmapped_signals\": 0\n },\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 5.0,\n \"delay\": 81.03,\n \"power\": 0.005,\n \"gate_count\": 5,\n \"cell_breakdown\": {\n \"sirv_AsyncResetReg\": 5\n },\n \"wire_count\": 39,\n \"wire_bits\": 55,\n \"critical_path_estimate\": 81.03,\n...[1082 chars elided]...\n \"error\": null\n}", "plan_id": "30e3ddbc5c6f", "design_id": "7a766e6b0040", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/riscv-mcu/e203_hbirdv2", "commit": "9f3e34f337f5d0a1236a285871ffa2032491617a", "path": "rtl/e203/perips/sirv_AsyncResetRegVec_1.v", "sha256": "d492c602befa1dc7ef6bca079324ff75a1f7adcba5240b61cab83db76164528b"}} {"question": "For the NV_NVDLA_SDP_brdma wrapper, how does the DFG node makeup line up with the cells left after medium-effort synthesis? Specifically, are the four BRDMA submodule instances the only real content, and how small is the glue logic in terms of gate count, area and delay?", "answer": "In the DFG of NV_NVDLA_SDP_brdma, 33 of the 57 nodes are input ports and 14 are output ports, and each of the four BRDMA submodules (cq, eg, gate, ig) shows up once alongside just a few glue nodes, one $adffe and two $mux among them. Synthesis matches this: the 8 cells are the four submodule instances plus only 2 $_ANDNOT_, 1 $_OR_ and 1 $_DFFE_PN0P_, for an area of 9.0 and a delay of 97.97.", "source_file": "github_repos/nvdla_hw/vmod/nvdla/sdp/NV_NVDLA_SDP_brdma.v", "module_name": "NV_NVDLA_SDP_brdma", "tool_name": "graph_extractor+synthesis_tool", "tool_parameters": [{"graph_type": "DFG"}, {"optimization_level": "medium"}], "tool_result": "[graph_extractor {\"graph_type\": \"DFG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"DFG\",\n...[51887 chars elided]...\n \"node_count\": 57,\n \"edge_count\": 2135,\n \"graph_properties\": {\n \"node_types\": {\n \"$and\": 1,\n \"$logic_not\": 1,\n \"$adffe\": 1,\n \"$reduce_bool\": 1,\n \"$mux\": 2,\n \"NV_NVDLA_SDP_BRDMA_cq\": 1,\n \"NV_NVDLA_SDP_BRDMA_eg\": 1,\n \"NV_NVDLA_SDP_BRDMA_gate\": 1,\n \"NV_NVDLA_SDP_BRDMA_ig\": 1,\n \"port_input\": 33,\n \"port_output\": 14\n },\n \"avg_degree\": 37.46,\n \"module_name\": \"NV_NVDLA_SDP_brdma\"\n },\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 9.0,\n \"delay\": 97.97,\n \"power\": 0.008,\n \"gate_count\": 8,\n \"cell_breakdown\": {\n \"$_ANDNOT_\": 2,\n \"$_DFFE_PN0P_\": 1,\n \"$_OR_\": 1,\n \"NV_NVDLA_SDP_BRDMA_cq\": 1,\n \"NV_NVDLA_SDP_BRDMA_eg\": 1,\n \"NV_NVDLA_SDP_BRDMA_gate\": 1,\n \"NV_NVDLA_SDP_BRDMA_ig\": 1\n },\n \"wire_count\": 59,\n \"wire_bits\": 1997,\n \"critical_path_estimate\": 97.97,\n...[1269 chars elided]...\n \"error\": null\n}", "category": "multi_tool", "subcategory": "graph_extractor+synthesis_tool", "difficulty": "compositional", "question_hash": "43538e7ea134", "stage1_target": "[{\"tool\": \"graph_extractor\", \"parameters\": {\"graph_type\": \"DFG\"}}, {\"tool\": \"synthesis_tool\", \"parameters\": {\"optimization_level\": \"medium\"}}]", "stage2_context": "Question: For the NV_NVDLA_SDP_brdma wrapper, how does the DFG node makeup line up with the cells left after medium-effort synthesis? Specifically, are the four BRDMA submodule instances the only real content, and how small is the glue logic in terms of gate count, area and delay?\n\n[graph_extractor {\"graph_type\": \"DFG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"DFG\",\n...[51887 chars elided]...\n \"node_count\": 57,\n \"edge_count\": 2135,\n \"graph_properties\": {\n \"node_types\": {\n \"$and\": 1,\n \"$logic_not\": 1,\n \"$adffe\": 1,\n \"$reduce_bool\": 1,\n \"$mux\": 2,\n \"NV_NVDLA_SDP_BRDMA_cq\": 1,\n \"NV_NVDLA_SDP_BRDMA_eg\": 1,\n \"NV_NVDLA_SDP_BRDMA_gate\": 1,\n \"NV_NVDLA_SDP_BRDMA_ig\": 1,\n \"port_input\": 33,\n \"port_output\": 14\n },\n \"avg_degree\": 37.46,\n \"module_name\": \"NV_NVDLA_SDP_brdma\"\n },\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 9.0,\n \"delay\": 97.97,\n \"power\": 0.008,\n \"gate_count\": 8,\n \"cell_breakdown\": {\n \"$_ANDNOT_\": 2,\n \"$_DFFE_PN0P_\": 1,\n \"$_OR_\": 1,\n \"NV_NVDLA_SDP_BRDMA_cq\": 1,\n \"NV_NVDLA_SDP_BRDMA_eg\": 1,\n \"NV_NVDLA_SDP_BRDMA_gate\": 1,\n \"NV_NVDLA_SDP_BRDMA_ig\": 1\n },\n \"wire_count\": 59,\n \"wire_bits\": 1997,\n \"critical_path_estimate\": 97.97,\n...[1269 chars elided]...\n \"error\": null\n}", "plan_id": "e049696476fe", "design_id": "7b362fe57b6b", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/nvdla/hw", "commit": "8e06b1b9d85aab65b40d43d08eec5ea4681ff715", "path": "vmod/nvdla/sdp/NV_NVDLA_SDP_brdma.v", "sha256": "e89ed8f4da3a3be97f17b62eec208eac66cc1732ce058855c995d2e5bb9fd724"}} {"question": "For NV_NVDLA_SDP_brdma, how well do the RTL signals map onto the synthesized netlist, and given how small the top-level medium-optimization synthesis result is in gates and area, does the netlist suggest the logic mostly lives in submodules?", "answer": "NV_NVDLA_SDP_brdma has an RTL-to-netlist alignment score of 98.25, with 56 of 57 RTL signals mapped. The only unmapped signal is layer_process. At the top level, medium-optimization synthesis gives just 8 gates with an area of 9.0 and a critical-path delay of 97.97, and the cells include one instance each of NV_NVDLA_SDP_BRDMA_cq, NV_NVDLA_SDP_BRDMA_eg, NV_NVDLA_SDP_BRDMA_gate and NV_NVDLA_SDP_BRDMA_ig, so most of the logic sits in those submodules.", "source_file": "github_repos/nvdla_hw/vmod/nvdla/sdp/NV_NVDLA_SDP_brdma.v", "module_name": "NV_NVDLA_SDP_brdma", "tool_name": "cross_stage_mapper+synthesis_tool", "tool_parameters": [{}, {"optimization_level": "medium"}], "tool_result": "[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"reg2dp_brdma_ram_type\": [\n \"reg2dp_brdma_ram_type\"\n ],\n \"reg2dp_height\": [\n \"reg2dp_height\"\n ],\n \"dla_clk_ovr_on_sync\": [\n \"dla_clk_ovr_on_sync\"\n ],\n \"eg_done\": [\n \"eg_done\",\n \"dp2reg_done\"\n ],\n \"cvif2sdp_b_rd_rsp_ready\": [\n \"cvif2sdp_b_rd_rsp_ready\"\n ],\n \"reg2dp_brdma_data_use\": [\n \"reg2dp_brdma_data_use\"\n \n...[2555 chars elided]...\n\": [\n \"sdp_b2cvif_rd_req_pd\"\n ],\n \"reg2dp_brdma_data_mode\": [\n \"reg2dp_brdma_data_mode\"\n ],\n \"nvdla_gated_clk\": [\n \"nvdla_gated_clk\"\n ],\n \"pwrbus_ram_pd\": [\n \"pwrbus_ram_pd\"\n ],\n \"layer_process\": [],\n \"ig2cq_prdy\": [\n \"ig2cq_prdy\"\n ],\n \"reg2dp_channel\": [\n \"reg2dp_channel\"\n ],\n \"cq2eg_prdy\": [\n \"cq2eg_prdy\"\n ],\n \"reg2dp_bs_base_addr_low\": [\n \"reg2dp_bs_base_addr_low\"\n ],\n \"ig2cq_pvld\": [\n \"ig2cq_pvld\"\n ],\n \"op_load\": [\n \"op_load\"\n ],\n \"sdp_b2mcif_rd_req_ready\": [\n \"sdp_b2mcif_rd_req_ready\"\n ]\n },\n \"alignment_score\": 98.25,\n \"unmapped_elements\": [\n \"layer_process\"\n ],\n \"mapping_statistics\": {\n \"rtl_signals\": 57,\n \"netlist_wires\": 67,\n \"netlist_cells\": 0,\n \"mapped_signals\": 56,\n \"unmapped_signals\": 1\n },\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 9.0,\n \"delay\": 97.97,\n \"power\": 0.008,\n \"gate_count\": 8,\n \"cell_breakdown\": {\n \"$_ANDNOT_\": 2,\n \"$_DFFE_PN0P_\": 1,\n \"$_OR_\": 1,\n \"NV_NVDLA_SDP_BRDMA_cq\": 1,\n \"NV_NVDLA_SDP_BRDMA_eg\": 1,\n \"NV_NVDLA_SDP_BRDMA_gate\": 1,\n \"NV_NVDLA_SDP_BRDMA_ig\": 1\n },\n \"wire_count\": 59,\n \"wire_bits\": 1997,\n \"critical_path_estimate\": 97.97,\n...[1269 chars elided]...\n \"error\": null\n}", "category": "multi_tool", "subcategory": "cross_stage_mapper+synthesis_tool", "difficulty": "compositional", "question_hash": "dcd9594e459c", "stage1_target": "[{\"tool\": \"cross_stage_mapper\", \"parameters\": {}}, {\"tool\": \"synthesis_tool\", \"parameters\": {\"optimization_level\": \"medium\"}}]", "stage2_context": "Question: For NV_NVDLA_SDP_brdma, how well do the RTL signals map onto the synthesized netlist, and given how small the top-level medium-optimization synthesis result is in gates and area, does the netlist suggest the logic mostly lives in submodules?\n\n[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"reg2dp_brdma_ram_type\": [\n \"reg2dp_brdma_ram_type\"\n ],\n \"reg2dp_height\": [\n \"reg2dp_height\"\n ],\n \"dla_clk_ovr_on_sync\": [\n \"dla_clk_ovr_on_sync\"\n ],\n \"eg_done\": [\n \"eg_done\",\n \"dp2reg_done\"\n ],\n \"cvif2sdp_b_rd_rsp_ready\": [\n \"cvif2sdp_b_rd_rsp_ready\"\n ],\n \"reg2dp_brdma_data_use\": [\n \"reg2dp_brdma_data_use\"\n \n...[2555 chars elided]...\n\": [\n \"sdp_b2cvif_rd_req_pd\"\n ],\n \"reg2dp_brdma_data_mode\": [\n \"reg2dp_brdma_data_mode\"\n ],\n \"nvdla_gated_clk\": [\n \"nvdla_gated_clk\"\n ],\n \"pwrbus_ram_pd\": [\n \"pwrbus_ram_pd\"\n ],\n \"layer_process\": [],\n \"ig2cq_prdy\": [\n \"ig2cq_prdy\"\n ],\n \"reg2dp_channel\": [\n \"reg2dp_channel\"\n ],\n \"cq2eg_prdy\": [\n \"cq2eg_prdy\"\n ],\n \"reg2dp_bs_base_addr_low\": [\n \"reg2dp_bs_base_addr_low\"\n ],\n \"ig2cq_pvld\": [\n \"ig2cq_pvld\"\n ],\n \"op_load\": [\n \"op_load\"\n ],\n \"sdp_b2mcif_rd_req_ready\": [\n \"sdp_b2mcif_rd_req_ready\"\n ]\n },\n \"alignment_score\": 98.25,\n \"unmapped_elements\": [\n \"layer_process\"\n ],\n \"mapping_statistics\": {\n \"rtl_signals\": 57,\n \"netlist_wires\": 67,\n \"netlist_cells\": 0,\n \"mapped_signals\": 56,\n \"unmapped_signals\": 1\n },\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 9.0,\n \"delay\": 97.97,\n \"power\": 0.008,\n \"gate_count\": 8,\n \"cell_breakdown\": {\n \"$_ANDNOT_\": 2,\n \"$_DFFE_PN0P_\": 1,\n \"$_OR_\": 1,\n \"NV_NVDLA_SDP_BRDMA_cq\": 1,\n \"NV_NVDLA_SDP_BRDMA_eg\": 1,\n \"NV_NVDLA_SDP_BRDMA_gate\": 1,\n \"NV_NVDLA_SDP_BRDMA_ig\": 1\n },\n \"wire_count\": 59,\n \"wire_bits\": 1997,\n \"critical_path_estimate\": 97.97,\n...[1269 chars elided]...\n \"error\": null\n}", "plan_id": "50c65232d375", "design_id": "7b362fe57b6b", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/nvdla/hw", "commit": "8e06b1b9d85aab65b40d43d08eec5ea4681ff715", "path": "vmod/nvdla/sdp/NV_NVDLA_SDP_brdma.v", "sha256": "e89ed8f4da3a3be97f17b62eec208eac66cc1732ce058855c995d2e5bb9fd724"}} {"question": "For PGAOPV_INVD2PO4, the RTL-to-netlist mapping and a power-targeted optimization study were both run. Given how the cell maps and what the power optimization suggests, is clock gating actually a meaningful power-saving option for this module?", "answer": "PGAOPV_INVD2PO4 maps cleanly, with an alignment score of 100.0, both of its 2 RTL signals (I and ZN) mapped, and 0 netlist cells, so it is just an inverter with no registers. That means the suggested clockgate step and its estimated power improvement of -25.0 have no registers to act on, and the noted trade-off that power optimization may add area overhead (area estimate 5.0) is not worth taking here.", "source_file": "github_repos/nvdla_hw/vmod/vlibs/PGAOPV_INVD2PO4.v", "module_name": "PGAOPV_INVD2PO4", "tool_name": "cross_stage_mapper+optimization_advisor", "tool_parameters": [{}, {"target_metric": "power"}], "tool_result": "[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"I\": [\n \"I\"\n ],\n \"ZN\": [\n \"ZN\"\n ]\n },\n \"alignment_score\": 100.0,\n \"unmapped_elements\": [],\n \"mapping_statistics\": {\n \"rtl_signals\": 2,\n \"netlist_wires\": 4,\n \"netlist_cells\": 0,\n \"mapped_signals\": 2,\n \"unmapped_signals\": 0\n },\n \"error\": null\n}\n\n[optimization_advisor {\"target_metric\": \"power\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"power\",\n \"recommended_recipes\": [\n \"synth -top PGAOPV_INVD2PO4\",\n \"opt; share; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean; clockgate\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"clock_gating\",\n \"description\": \"Insert clock gating for registers\",\n \"command\": \"clockgate\"\n },\n {\n \"type\": \"operand_isolation\",\n \"description\": \"Isolate operands when not in use\",\n \"command\": \"Use enable signals for arithmetic\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": 5.0,\n \"delay\": 5.0,\n \"power\": -25.0\n },\n \"trade_offs\": [\n \"Power optimization may add area overhead\",\n \"Clock gating adds timing complexity\"\n ],\n \"error\": null\n}", "category": "multi_tool", "subcategory": "cross_stage_mapper+optimization_advisor", "difficulty": "compositional", "question_hash": "9bbc6b52a1d9", "stage1_target": "[{\"tool\": \"cross_stage_mapper\", \"parameters\": {}}, {\"tool\": \"optimization_advisor\", \"parameters\": {\"target_metric\": \"power\"}}]", "stage2_context": "Question: For PGAOPV_INVD2PO4, the RTL-to-netlist mapping and a power-targeted optimization study were both run. Given how the cell maps and what the power optimization suggests, is clock gating actually a meaningful power-saving option for this module?\n\n[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"I\": [\n \"I\"\n ],\n \"ZN\": [\n \"ZN\"\n ]\n },\n \"alignment_score\": 100.0,\n \"unmapped_elements\": [],\n \"mapping_statistics\": {\n \"rtl_signals\": 2,\n \"netlist_wires\": 4,\n \"netlist_cells\": 0,\n \"mapped_signals\": 2,\n \"unmapped_signals\": 0\n },\n \"error\": null\n}\n\n[optimization_advisor {\"target_metric\": \"power\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"power\",\n \"recommended_recipes\": [\n \"synth -top PGAOPV_INVD2PO4\",\n \"opt; share; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean; clockgate\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"clock_gating\",\n \"description\": \"Insert clock gating for registers\",\n \"command\": \"clockgate\"\n },\n {\n \"type\": \"operand_isolation\",\n \"description\": \"Isolate operands when not in use\",\n \"command\": \"Use enable signals for arithmetic\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": 5.0,\n \"delay\": 5.0,\n \"power\": -25.0\n },\n \"trade_offs\": [\n \"Power optimization may add area overhead\",\n \"Clock gating adds timing complexity\"\n ],\n \"error\": null\n}", "plan_id": "169bd5bacaca", "design_id": "7f34fc4ed630", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/nvdla/hw", "commit": "8e06b1b9d85aab65b40d43d08eec5ea4681ff715", "path": "vmod/vlibs/PGAOPV_INVD2PO4.v", "sha256": "62c1e551ed5120b369784d9f009e41a73c473108377fb2e4cd505f4f84e3edb8"}} {"question": "For NV_NVDLA_CACC_CALC_int8, how does the amount of sequential logic in the medium-effort synthesized netlist compare with the register declarations and always blocks in the RTL? Also, what are the netlist's area and delay, and how complex is the control structure?", "answer": "The RTL for NV_NVDLA_CACC_CALC_int8 declares 10 regs across 9 always blocks, yet synthesis produces 101 $_DFFE_PP_ enable flops, plus 4 $_DFF_PN0_ and 1 $_DFFE_PN0P_, which means those regs are multi-bit accumulation registers. The netlist has 1328 cells, an area of 1828.0 and a delay of 490.99. The control structure is fairly complex, with a cyclomatic complexity of 41 and a nesting depth of 36.", "source_file": "github_repos/nvdla_hw/vmod/nvdla/cacc/NV_NVDLA_CACC_CALC_int8.v", "module_name": "NV_NVDLA_CACC_CALC_int8", "tool_name": "static_analyzer+synthesis_tool", "tool_parameters": [{"analysis_type": "full"}, {"optimization_level": "medium"}], "tool_result": "[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"NV_NVDLA_CACC_CALC_int8\",\n \"port_count\": {\n \"inputs\": 8,\n \"outputs\": 5,\n \"inouts\": 0,\n \"total\": 13\n },\n \"signal_count\": {\n \"wires\": 24,\n \"regs\": 10,\n \"parameters\": 0,\n \"total\": 34\n },\n \"always_blocks\": 9,\n \"assign_statements\": 21,\n \"instantiations\": [\n \"define\",\n \"cover\",\n \"disable\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 233,\n \"total_lines\": 347,\n \"cyclomatic_complexity\": 41,\n \"nesting_depth\": 36,\n \"operator_count\": 604\n },\n \"lint_warnings\": [],\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 1828.0,\n \"delay\": 490.99,\n \"power\": 1.328,\n \"gate_count\": 1328,\n \"cell_breakdown\": {\n \"$_ANDNOT_\": 40,\n \"$_AND_\": 464,\n \"$_DFFE_PN0P_\": 1,\n \"$_DFFE_PP_\": 101,\n \"$_DFF_PN0_\": 4,\n \"$_NAND_\": 373,\n \"$_NOR_\": 8,\n \"$_NOT_\": 44,\n \"$_ORNOT_\": 66,\n \"$_OR_\": 162,\n \"$_XNOR_\": 34,\n \"$_XOR_\": 31\n },\n \"wire_count\": 1021,\n \"wire_bits\": 1491,\n \"critical_path_estimate\": \n...[1351 chars elided]...\n \"error\": null\n}", "category": "multi_tool", "subcategory": "static_analyzer+synthesis_tool", "difficulty": "compositional", "question_hash": "7ceaf05db637", "stage1_target": "[{\"tool\": \"static_analyzer\", \"parameters\": {\"analysis_type\": \"full\"}}, {\"tool\": \"synthesis_tool\", \"parameters\": {\"optimization_level\": \"medium\"}}]", "stage2_context": "Question: For NV_NVDLA_CACC_CALC_int8, how does the amount of sequential logic in the medium-effort synthesized netlist compare with the register declarations and always blocks in the RTL? Also, what are the netlist's area and delay, and how complex is the control structure?\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"NV_NVDLA_CACC_CALC_int8\",\n \"port_count\": {\n \"inputs\": 8,\n \"outputs\": 5,\n \"inouts\": 0,\n \"total\": 13\n },\n \"signal_count\": {\n \"wires\": 24,\n \"regs\": 10,\n \"parameters\": 0,\n \"total\": 34\n },\n \"always_blocks\": 9,\n \"assign_statements\": 21,\n \"instantiations\": [\n \"define\",\n \"cover\",\n \"disable\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 233,\n \"total_lines\": 347,\n \"cyclomatic_complexity\": 41,\n \"nesting_depth\": 36,\n \"operator_count\": 604\n },\n \"lint_warnings\": [],\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 1828.0,\n \"delay\": 490.99,\n \"power\": 1.328,\n \"gate_count\": 1328,\n \"cell_breakdown\": {\n \"$_ANDNOT_\": 40,\n \"$_AND_\": 464,\n \"$_DFFE_PN0P_\": 1,\n \"$_DFFE_PP_\": 101,\n \"$_DFF_PN0_\": 4,\n \"$_NAND_\": 373,\n \"$_NOR_\": 8,\n \"$_NOT_\": 44,\n \"$_ORNOT_\": 66,\n \"$_OR_\": 162,\n \"$_XNOR_\": 34,\n \"$_XOR_\": 31\n },\n \"wire_count\": 1021,\n \"wire_bits\": 1491,\n \"critical_path_estimate\": \n...[1351 chars elided]...\n \"error\": null\n}", "plan_id": "d344f1651dec", "design_id": "7f424919f842", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/nvdla/hw", "commit": "8e06b1b9d85aab65b40d43d08eec5ea4681ff715", "path": "vmod/nvdla/cacc/NV_NVDLA_CACC_CALC_int8.v", "sha256": "2f7102971bc0bd83ef7146bdf33baff76e055bc09490ed6c4f55d405f0006c00"}} {"question": "For NV_NVDLA_partition_p, how do the input and output port counts in the CDFG compare with the counts from static analysis, and does the CDFG's instance list match the submodule instantiations found in the code?", "answer": "In NV_NVDLA_partition_p, both analyses report 58 outputs, but the CDFG has only 55 port_input nodes while static analysis counts 57 inputs (115 ports in total), so a couple of inputs do not appear as CDFG nodes. Both analyses agree on the five submodule instances: NV_NVDLA_reset, NV_NVDLA_sync3d, NV_NVDLA_sync3d_s, NV_NVDLA_sdp and NV_NVDLA_RT_cmac_a2cacc. Each of these appears once in the CDFG, and the static analysis lists 0 always blocks and 0 assign statements, which fits a purely structural wrapper module.", "source_file": "github_repos/nvdla_hw/vmod/nvdla/top/NV_NVDLA_partition_p.v", "module_name": "NV_NVDLA_partition_p", "tool_name": "graph_extractor+static_analyzer", "tool_parameters": [{"graph_type": "CDFG"}, {"analysis_type": "full"}], "tool_result": "[graph_extractor {\"graph_type\": \"CDFG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"CDFG\",\n...[161894 chars elided]...\n \"node_count\": 118,\n \"edge_count\": 9715,\n \"graph_properties\": {\n \"node_types\": {\n \"NV_NVDLA_RT_cmac_a2cacc\": 1,\n \"NV_NVDLA_sdp\": 1,\n \"NV_NVDLA_sync3d\": 1,\n \"NV_NVDLA_sync3d_s\": 1,\n \"NV_NVDLA_reset\": 1,\n \"port_input\": 55,\n \"port_output\": 58\n },\n \"avg_degree\": 82.33,\n \"module_name\": \"NV_NVDLA_partition_p\"\n },\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"NV_NVDLA_partition_p\",\n \"port_count\": {\n \"inputs\": 57,\n \"outputs\": 58,\n \"inouts\": 0,\n \"total\": 115\n },\n \"signal_count\": {\n \"wires\": 3,\n \"regs\": 0,\n \"parameters\": 0,\n \"total\": 3\n },\n \"always_blocks\": 0,\n \"assign_statements\": 0,\n \"instantiations\": [\n \"NV_NVDLA_reset\",\n \"NV_NVDLA_sync3d\",\n \"NV_NVDLA_sync3d_s\",\n \"NV_NVDLA_sdp\",\n \"NV_NVDLA_RT_cmac_a2cacc\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 370,\n \"total_lines\": 471,\n \"cyclomatic_complexity\": 3,\n \"nesting_depth\": 0,\n \"operator_count\": 2259\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "category": "multi_tool", "subcategory": "graph_extractor+static_analyzer", "difficulty": "compositional", "question_hash": "93b46ffd0ff0", "stage1_target": "[{\"tool\": \"graph_extractor\", \"parameters\": {\"graph_type\": \"CDFG\"}}, {\"tool\": \"static_analyzer\", \"parameters\": {\"analysis_type\": \"full\"}}]", "stage2_context": "Question: For NV_NVDLA_partition_p, how do the input and output port counts in the CDFG compare with the counts from static analysis, and does the CDFG's instance list match the submodule instantiations found in the code?\n\n[graph_extractor {\"graph_type\": \"CDFG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"CDFG\",\n...[161894 chars elided]...\n \"node_count\": 118,\n \"edge_count\": 9715,\n \"graph_properties\": {\n \"node_types\": {\n \"NV_NVDLA_RT_cmac_a2cacc\": 1,\n \"NV_NVDLA_sdp\": 1,\n \"NV_NVDLA_sync3d\": 1,\n \"NV_NVDLA_sync3d_s\": 1,\n \"NV_NVDLA_reset\": 1,\n \"port_input\": 55,\n \"port_output\": 58\n },\n \"avg_degree\": 82.33,\n \"module_name\": \"NV_NVDLA_partition_p\"\n },\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"NV_NVDLA_partition_p\",\n \"port_count\": {\n \"inputs\": 57,\n \"outputs\": 58,\n \"inouts\": 0,\n \"total\": 115\n },\n \"signal_count\": {\n \"wires\": 3,\n \"regs\": 0,\n \"parameters\": 0,\n \"total\": 3\n },\n \"always_blocks\": 0,\n \"assign_statements\": 0,\n \"instantiations\": [\n \"NV_NVDLA_reset\",\n \"NV_NVDLA_sync3d\",\n \"NV_NVDLA_sync3d_s\",\n \"NV_NVDLA_sdp\",\n \"NV_NVDLA_RT_cmac_a2cacc\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 370,\n \"total_lines\": 471,\n \"cyclomatic_complexity\": 3,\n \"nesting_depth\": 0,\n \"operator_count\": 2259\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "plan_id": "e48aa0f1ef82", "design_id": "7fec23be12bf", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/nvdla/hw", "commit": "8e06b1b9d85aab65b40d43d08eec5ea4681ff715", "path": "vmod/nvdla/top/NV_NVDLA_partition_p.v", "sha256": "c4f90c34ea6d25557c90c8ccfbeb069ff400904265cbaa996f0b0468bb45e24a"}} {"question": "For NV_BLKBOX_SRC0, the RTL-to-netlist mapping shows how much logic the netlist actually contains. Given that, how much should I trust the area-targeted optimization plan's promised gains, including the operator-sharing step?", "answer": "The RTL-to-netlist mapping for NV_BLKBOX_SRC0 has an alignment score of 100.0 with 1 mapped signal (Y) and 0 netlist cells, so the netlist has essentially no logic to optimize. The area plan's estimated area improvement of -15.0 and its 'share -aggressive' step for sharing arithmetic operators are therefore unlikely to deliver anything real on this black-box source module.", "source_file": "github_repos/nvdla_hw/vmod/vlibs/NV_BLKBOX_SRC0.v", "module_name": "NV_BLKBOX_SRC0", "tool_name": "cross_stage_mapper+optimization_advisor", "tool_parameters": [{}, {"target_metric": "area"}], "tool_result": "[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"Y\": [\n \"Y\"\n ]\n },\n \"alignment_score\": 100.0,\n \"unmapped_elements\": [],\n \"mapping_statistics\": {\n \"rtl_signals\": 1,\n \"netlist_wires\": 1,\n \"netlist_cells\": 0,\n \"mapped_signals\": 1,\n \"unmapped_signals\": 0\n },\n \"error\": null\n}\n\n[optimization_advisor {\"target_metric\": \"area\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"area\",\n \"recommended_recipes\": [\n \"synth -top NV_BLKBOX_SRC0 -flatten\",\n \"opt -full; share -aggressive; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean -purge\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"resource_sharing\",\n \"description\": \"Share arithmetic operators\",\n \"command\": \"share -aggressive\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": -15.0,\n \"delay\": 5.0,\n \"power\": -10.0\n },\n \"trade_offs\": [\n \"Area optimization may increase delay\",\n \"Aggressive sharing increases routing complexity\"\n ],\n \"error\": null\n}", "category": "multi_tool", "subcategory": "cross_stage_mapper+optimization_advisor", "difficulty": "compositional", "question_hash": "0098a19d594b", "stage1_target": "[{\"tool\": \"cross_stage_mapper\", \"parameters\": {}}, {\"tool\": \"optimization_advisor\", \"parameters\": {\"target_metric\": \"area\"}}]", "stage2_context": "Question: For NV_BLKBOX_SRC0, the RTL-to-netlist mapping shows how much logic the netlist actually contains. Given that, how much should I trust the area-targeted optimization plan's promised gains, including the operator-sharing step?\n\n[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"Y\": [\n \"Y\"\n ]\n },\n \"alignment_score\": 100.0,\n \"unmapped_elements\": [],\n \"mapping_statistics\": {\n \"rtl_signals\": 1,\n \"netlist_wires\": 1,\n \"netlist_cells\": 0,\n \"mapped_signals\": 1,\n \"unmapped_signals\": 0\n },\n \"error\": null\n}\n\n[optimization_advisor {\"target_metric\": \"area\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"area\",\n \"recommended_recipes\": [\n \"synth -top NV_BLKBOX_SRC0 -flatten\",\n \"opt -full; share -aggressive; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean -purge\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"resource_sharing\",\n \"description\": \"Share arithmetic operators\",\n \"command\": \"share -aggressive\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": -15.0,\n \"delay\": 5.0,\n \"power\": -10.0\n },\n \"trade_offs\": [\n \"Area optimization may increase delay\",\n \"Aggressive sharing increases routing complexity\"\n ],\n \"error\": null\n}", "plan_id": "1f472d7ba947", "design_id": "803c0cf3dcf9", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/nvdla/hw", "commit": "8e06b1b9d85aab65b40d43d08eec5ea4681ff715", "path": "vmod/vlibs/NV_BLKBOX_SRC0.v", "sha256": "fe3978819dcf6fb174fded0a74f0330175d4aa2781af5e1ae0c42310490aed30"}} {"question": "For NV_NVDLA_SDP_RDMA_REG_single, how well do the RTL signals map onto the netlist, and does the CDFG's control and storage structure explain why some signals, such as the status write enable and producer, have no netlist counterpart?", "answer": "In NV_NVDLA_SDP_RDMA_REG_single, 15 of 20 RTL signals map onto the netlist, giving an alignment score of 75.0, and 5 are left unmapped, including producer and nvdla_sdp_rdma_s_status_0_wren. The CDFG has 15 nodes but only 1 $adffe register, 1 $pmux and 1 $eq, so the only storage left is the single write-enabled pointer flop. That fits the status write enable and the producer register being optimized away, since the status register is read-only.", "source_file": "github_repos/nvdla_hw/vmod/nvdla/sdp/NV_NVDLA_SDP_RDMA_REG_single.v", "module_name": "NV_NVDLA_SDP_RDMA_REG_single", "tool_name": "cross_stage_mapper+graph_extractor", "tool_parameters": [{}, {"graph_type": "CDFG"}], "tool_result": "[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"arreggen_dump\": [],\n \"wr\": [\n \"reg_offset_wr\",\n \"nvdla_sdp_rdma_s_pointer_0_wren\",\n \"reg_wr_en\",\n \"reg_wr_data\"\n ],\n \"arreggen_abort_on_rowr\": [],\n \"nvdla_sdp_rdma_s_status_0_out\": [\n \"nvdla_sdp_rdma_s_status_0_out\"\n ],\n \"arreggen_abort_on_invalid_wr\": [],\n \"nvdla_core_clk\": [\n \"nvdla_core_clk\"\n ],\n \"status_0\": [\n \n...[283 chars elided]...\n \"nvdla_core_rstn\": [\n \"nvdla_core_rstn\"\n ],\n \"reg_offset_wr\": [\n \"reg_offset_wr\"\n ],\n \"consumer\": [\n \"consumer\"\n ],\n \"producer\": [],\n \"reg_offset_rd_int\": [\n \"reg_offset_rd_int\"\n ],\n \"nvdla_sdp_rdma_s_status_0_wren\": [],\n \"nvdla_sdp_rdma_s_pointer_0_wren\": [\n \"nvdla_sdp_rdma_s_pointer_0_wren\"\n ],\n \"reg_wr_en\": [\n \"reg_wr_en\"\n ],\n \"reg_offset\": [\n \"reg_offset\",\n \"reg_offset_wr\",\n \"reg_offset_rd_int\"\n ]\n },\n \"alignment_score\": 75.0,\n \"unmapped_elements\": [\n \"arreggen_dump\",\n \"arreggen_abort_on_rowr\",\n \"arreggen_abort_on_invalid_wr\",\n \"producer\",\n \"nvdla_sdp_rdma_s_status_0_wren\"\n ],\n \"mapping_statistics\": {\n \"rtl_signals\": 20,\n \"netlist_wires\": 191,\n \"netlist_cells\": 0,\n \"mapped_signals\": 15,\n \"unmapped_signals\": 5\n },\n \"error\": null\n}\n\n[graph_extractor {\"graph_type\": \"CDFG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"CDFG\",\n...[18249 chars elided]...\n \"node_count\": 15,\n \"edge_count\": 176,\n \"graph_properties\": {\n \"node_types\": {\n \"$and\": 1,\n \"$adffe\": 1,\n \"$pmux\": 1,\n \"$logic_not\": 1,\n \"$eq\": 1,\n \"port_output\": 2,\n \"port_input\": 8\n },\n \"avg_degree\": 11.73,\n \"module_name\": \"NV_NVDLA_SDP_RDMA_REG_single\"\n },\n \"error\": null\n}", "category": "multi_tool", "subcategory": "cross_stage_mapper+graph_extractor", "difficulty": "compositional", "question_hash": "bf41a529b79f", "stage1_target": "[{\"tool\": \"cross_stage_mapper\", \"parameters\": {}}, {\"tool\": \"graph_extractor\", \"parameters\": {\"graph_type\": \"CDFG\"}}]", "stage2_context": "Question: For NV_NVDLA_SDP_RDMA_REG_single, how well do the RTL signals map onto the netlist, and does the CDFG's control and storage structure explain why some signals, such as the status write enable and producer, have no netlist counterpart?\n\n[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"arreggen_dump\": [],\n \"wr\": [\n \"reg_offset_wr\",\n \"nvdla_sdp_rdma_s_pointer_0_wren\",\n \"reg_wr_en\",\n \"reg_wr_data\"\n ],\n \"arreggen_abort_on_rowr\": [],\n \"nvdla_sdp_rdma_s_status_0_out\": [\n \"nvdla_sdp_rdma_s_status_0_out\"\n ],\n \"arreggen_abort_on_invalid_wr\": [],\n \"nvdla_core_clk\": [\n \"nvdla_core_clk\"\n ],\n \"status_0\": [\n \n...[283 chars elided]...\n \"nvdla_core_rstn\": [\n \"nvdla_core_rstn\"\n ],\n \"reg_offset_wr\": [\n \"reg_offset_wr\"\n ],\n \"consumer\": [\n \"consumer\"\n ],\n \"producer\": [],\n \"reg_offset_rd_int\": [\n \"reg_offset_rd_int\"\n ],\n \"nvdla_sdp_rdma_s_status_0_wren\": [],\n \"nvdla_sdp_rdma_s_pointer_0_wren\": [\n \"nvdla_sdp_rdma_s_pointer_0_wren\"\n ],\n \"reg_wr_en\": [\n \"reg_wr_en\"\n ],\n \"reg_offset\": [\n \"reg_offset\",\n \"reg_offset_wr\",\n \"reg_offset_rd_int\"\n ]\n },\n \"alignment_score\": 75.0,\n \"unmapped_elements\": [\n \"arreggen_dump\",\n \"arreggen_abort_on_rowr\",\n \"arreggen_abort_on_invalid_wr\",\n \"producer\",\n \"nvdla_sdp_rdma_s_status_0_wren\"\n ],\n \"mapping_statistics\": {\n \"rtl_signals\": 20,\n \"netlist_wires\": 191,\n \"netlist_cells\": 0,\n \"mapped_signals\": 15,\n \"unmapped_signals\": 5\n },\n \"error\": null\n}\n\n[graph_extractor {\"graph_type\": \"CDFG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"CDFG\",\n...[18249 chars elided]...\n \"node_count\": 15,\n \"edge_count\": 176,\n \"graph_properties\": {\n \"node_types\": {\n \"$and\": 1,\n \"$adffe\": 1,\n \"$pmux\": 1,\n \"$logic_not\": 1,\n \"$eq\": 1,\n \"port_output\": 2,\n \"port_input\": 8\n },\n \"avg_degree\": 11.73,\n \"module_name\": \"NV_NVDLA_SDP_RDMA_REG_single\"\n },\n \"error\": null\n}", "plan_id": "ed43322bf777", "design_id": "812c3d7e907c", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/nvdla/hw", "commit": "8e06b1b9d85aab65b40d43d08eec5ea4681ff715", "path": "vmod/nvdla/sdp/NV_NVDLA_SDP_RDMA_REG_single.v", "sha256": "47923cc47149e7a7d6f67699d6ec2ab0b99d6e5469dcad1f97be4f01585a399c"}} {"question": "In servde1_soc_revF_clock_gen, the CDFG shows one 9-bit sync-reset register and one plain flip-flop, both driven by the PLL. When synthesized at medium optimization, how does that register structure show up in the cell breakdown, and what area and delay does the synthesized design have?", "answer": "The CDFG for servde1_soc_revF_clock_gen has 8 nodes, including one $sdff with WIDTH 9 and SRST_VALUE 111111111, plus one $dff, and these become 9 $_SDFF_PN1_ cells and 1 $_DFF_P_ cell after synthesis. Together with 1 $_NOT_ and 1 altpll, that gives 12 cells in total, with an area of 14.5 and a delay of 117.67.", "source_file": "github_repos/olofk_serv/servant/servde1_soc_revF_clock_gen.v", "module_name": "servde1_soc_revF_clock_gen", "tool_name": "graph_extractor+synthesis_tool", "tool_parameters": [{"graph_type": "CDFG"}, {"optimization_level": "medium"}], "tool_result": "[graph_extractor {\"graph_type\": \"CDFG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"CDFG\",\n...[6462 chars elided]...\n \"node_count\": 8,\n \"edge_count\": 64,\n \"graph_properties\": {\n \"node_types\": {\n \"$sdff\": 1,\n \"$dff\": 1,\n \"$mux\": 1,\n \"altpll\": 1,\n \"port_input\": 2,\n \"port_output\": 2\n },\n \"avg_degree\": 8.0,\n \"module_name\": \"servde1_soc_revF_clock_gen\"\n },\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 14.5,\n \"delay\": 117.67,\n \"power\": 0.012,\n \"gate_count\": 12,\n \"cell_breakdown\": {\n \"$_DFF_P_\": 1,\n \"$_NOT_\": 1,\n \"$_SDFF_PN1_\": 9,\n \"altpll\": 1\n },\n \"wire_count\": 8,\n \"wire_bits\": 31,\n \"critical_path_estimate\": 117.67,\n...[1146 chars elided]...\n \"error\": null\n}", "category": "multi_tool", "subcategory": "graph_extractor+synthesis_tool", "difficulty": "compositional", "question_hash": "1bb2c775bc3f", "stage1_target": "[{\"tool\": \"graph_extractor\", \"parameters\": {\"graph_type\": \"CDFG\"}}, {\"tool\": \"synthesis_tool\", \"parameters\": {\"optimization_level\": \"medium\"}}]", "stage2_context": "Question: In servde1_soc_revF_clock_gen, the CDFG shows one 9-bit sync-reset register and one plain flip-flop, both driven by the PLL. When synthesized at medium optimization, how does that register structure show up in the cell breakdown, and what area and delay does the synthesized design have?\n\n[graph_extractor {\"graph_type\": \"CDFG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"CDFG\",\n...[6462 chars elided]...\n \"node_count\": 8,\n \"edge_count\": 64,\n \"graph_properties\": {\n \"node_types\": {\n \"$sdff\": 1,\n \"$dff\": 1,\n \"$mux\": 1,\n \"altpll\": 1,\n \"port_input\": 2,\n \"port_output\": 2\n },\n \"avg_degree\": 8.0,\n \"module_name\": \"servde1_soc_revF_clock_gen\"\n },\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 14.5,\n \"delay\": 117.67,\n \"power\": 0.012,\n \"gate_count\": 12,\n \"cell_breakdown\": {\n \"$_DFF_P_\": 1,\n \"$_NOT_\": 1,\n \"$_SDFF_PN1_\": 9,\n \"altpll\": 1\n },\n \"wire_count\": 8,\n \"wire_bits\": 31,\n \"critical_path_estimate\": 117.67,\n...[1146 chars elided]...\n \"error\": null\n}", "plan_id": "15442e223d8d", "design_id": "803f75f0dd47", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/olofk/serv", "commit": "f200eb2ed7b69ac1c6b8eddd47654522aeee5ce8", "path": "servant/servde1_soc_revF_clock_gen.v", "sha256": "0f3358efb4652ec165171ee2e56d2931f7467c793189d2644f801594dabcee4b"}} {"question": "For spi_master_rx, how well do the RTL signals line up with the synthesized netlist, and is that consistent with the CDFG's register and mux content and with the source code's structure and complexity?", "answer": "spi_master_rx has an RTL-to-netlist alignment score of 85.71, with 24 signals mapped and 4 unmapped, including counter_trgt and rx_CS. Its CDFG has 70 nodes, 21 $mux cells, 3 $adffe cells and 1 $adff cell. These match a control-heavy design that has 3 always blocks, a cyclomatic complexity of 22 and a nesting depth of 13.", "source_file": "github_repos/riscv-mcu_e203_hbirdv2/rtl/e203/perips/apb_spi_master/spi_master_rx.v", "module_name": "spi_master_rx", "tool_name": "cross_stage_mapper+graph_extractor+static_analyzer", "tool_parameters": [{}, {"graph_type": "CDFG"}, {"analysis_type": "full"}], "tool_result": "[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"rstn\": [\n \"rstn\"\n ],\n \"en\": [\n \"clk_en_o\",\n \"en_quad_in\",\n \"en\"\n ],\n \"wire\": [],\n \"clk\": [\n \"clk_en_o\",\n \"clk\"\n ],\n \"counter_in_upd\": [\n \"counter_in_upd\"\n ],\n \"coun\n...[777 chars elided]...\nter_in_upd\",\n \"counter_in\"\n ],\n \"rx_NS\": [\n \"rx_NS\"\n ],\n \"sdi0\": [\n \"sdi0\"\n ],\n \"data\": [\n \"data\",\n \"data_valid\",\n \"data_ready\",\n \"data_int_next\"\n ],\n \"rx_CS\": [],\n \"data_ready\": [\n \"data_ready\"\n ]\n },\n \"alignment_score\": 85.71,\n \"unmapped_elements\": [\n \"wire\",\n \"counter_trgt\",\n \"counter_trgt_next\",\n \"rx_CS\"\n ],\n \"mapping_statistics\": {\n \"rtl_signals\": 28,\n \"netlist_wires\": 1162,\n \"netlist_cells\": 0,\n \"mapped_signals\": 24,\n \"unmapped_signals\": 4\n },\n \"error\": null\n}\n\n[graph_extractor {\"graph_type\": \"CDFG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"CDFG\",\n...[42818 chars elided]...\n \"node_count\": 70,\n \"edge_count\": 1089,\n \"graph_properties\": {\n \"node_types\": {\n \"$eq\": 6,\n \"$logic_and\": 3,\n \"$logic_not\": 2,\n \"$logic_or\": 1,\n \"$mux\": 21,\n \"$sub\": 1,\n \"$add\": 1,\n \"$adffe\": 3,\n \"$reduce_or\": 2,\n \"$not\": 1,\n \"$ne\": 6,\n \"$reduce_and\": 2,\n \"$adff\": 1,\n \"$pmux\": 4,\n \"port_input\": 12,\n \"port_output\": 4\n },\n \"avg_degree\": 15.56,\n \"module_name\": \"spi_master_rx\"\n },\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"spi_master_rx\",\n \"port_count\": {\n \"inputs\": 12,\n \"outputs\": 4,\n \"inouts\": 0,\n \"total\": 16\n },\n \"signal_count\": {\n \"wires\": 16,\n \"regs\": 10,\n \"parameters\": 0,\n \"total\": 26\n },\n \"always_blocks\": 3,\n \"assign_statements\": 4,\n \"instantiations\": [\n \"later\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 101,\n \"total_lines\": 133,\n \"cyclomatic_complexity\": 22,\n \"nesting_depth\": 13,\n \"operator_count\": 104\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "category": "multi_tool", "subcategory": "cross_stage_mapper+graph_extractor+static_analyzer", "difficulty": "compositional", "question_hash": "ff687f53865c", "stage1_target": "[{\"tool\": \"cross_stage_mapper\", \"parameters\": {}}, {\"tool\": \"graph_extractor\", \"parameters\": {\"graph_type\": \"CDFG\"}}, {\"tool\": \"static_analyzer\", \"parameters\": {\"analysis_type\": \"full\"}}]", "stage2_context": "Question: For spi_master_rx, how well do the RTL signals line up with the synthesized netlist, and is that consistent with the CDFG's register and mux content and with the source code's structure and complexity?\n\n[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"rstn\": [\n \"rstn\"\n ],\n \"en\": [\n \"clk_en_o\",\n \"en_quad_in\",\n \"en\"\n ],\n \"wire\": [],\n \"clk\": [\n \"clk_en_o\",\n \"clk\"\n ],\n \"counter_in_upd\": [\n \"counter_in_upd\"\n ],\n \"coun\n...[777 chars elided]...\nter_in_upd\",\n \"counter_in\"\n ],\n \"rx_NS\": [\n \"rx_NS\"\n ],\n \"sdi0\": [\n \"sdi0\"\n ],\n \"data\": [\n \"data\",\n \"data_valid\",\n \"data_ready\",\n \"data_int_next\"\n ],\n \"rx_CS\": [],\n \"data_ready\": [\n \"data_ready\"\n ]\n },\n \"alignment_score\": 85.71,\n \"unmapped_elements\": [\n \"wire\",\n \"counter_trgt\",\n \"counter_trgt_next\",\n \"rx_CS\"\n ],\n \"mapping_statistics\": {\n \"rtl_signals\": 28,\n \"netlist_wires\": 1162,\n \"netlist_cells\": 0,\n \"mapped_signals\": 24,\n \"unmapped_signals\": 4\n },\n \"error\": null\n}\n\n[graph_extractor {\"graph_type\": \"CDFG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"CDFG\",\n...[42818 chars elided]...\n \"node_count\": 70,\n \"edge_count\": 1089,\n \"graph_properties\": {\n \"node_types\": {\n \"$eq\": 6,\n \"$logic_and\": 3,\n \"$logic_not\": 2,\n \"$logic_or\": 1,\n \"$mux\": 21,\n \"$sub\": 1,\n \"$add\": 1,\n \"$adffe\": 3,\n \"$reduce_or\": 2,\n \"$not\": 1,\n \"$ne\": 6,\n \"$reduce_and\": 2,\n \"$adff\": 1,\n \"$pmux\": 4,\n \"port_input\": 12,\n \"port_output\": 4\n },\n \"avg_degree\": 15.56,\n \"module_name\": \"spi_master_rx\"\n },\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"spi_master_rx\",\n \"port_count\": {\n \"inputs\": 12,\n \"outputs\": 4,\n \"inouts\": 0,\n \"total\": 16\n },\n \"signal_count\": {\n \"wires\": 16,\n \"regs\": 10,\n \"parameters\": 0,\n \"total\": 26\n },\n \"always_blocks\": 3,\n \"assign_statements\": 4,\n \"instantiations\": [\n \"later\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 101,\n \"total_lines\": 133,\n \"cyclomatic_complexity\": 22,\n \"nesting_depth\": 13,\n \"operator_count\": 104\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "plan_id": "0c88a4449d99", "design_id": "8411d4bcadb4", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 3, "ctx_cap": 3300, "source": {"repository": "https://github.com/riscv-mcu/e203_hbirdv2", "commit": "9f3e34f337f5d0a1236a285871ffa2032491617a", "path": "rtl/e203/perips/apb_spi_master/spi_master_rx.v", "sha256": "c3b0c7a3cece7606ad5a464c0cdb6b084adbccc5424b7720d768b3812464c124"}} {"question": "For service_clock_gen, I want to cut power. Is clock gating a sensible option given how many registers and always blocks the module has, and what power reduction could I expect?", "answer": "service_clock_gen has only 1 reg in 1 always block and 3 total ports, so the recommended clockgate step (estimated power change -25.0, area and delay each 5.0) would apply to a very small amount of sequential logic. The module has no lint warnings and a cyclomatic complexity of 3, so the main costs are the trade-offs listed: extra area and more complex timing.", "source_file": "github_repos/olofk_serv/servant/service_clock_gen.v", "module_name": "service_clock_gen", "tool_name": "optimization_advisor+static_analyzer", "tool_parameters": [{"target_metric": "power"}, {"analysis_type": "full"}], "tool_result": "[optimization_advisor {\"target_metric\": \"power\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"power\",\n \"recommended_recipes\": [\n \"synth -top service_clock_gen\",\n \"opt; share; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean; clockgate\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"clock_gating\",\n \"description\": \"Insert clock gating for registers\",\n \"command\": \"clockgate\"\n },\n {\n \"type\": \"operand_isolation\",\n \"description\": \"Isolate operands when not in use\",\n \"command\": \"Use enable signals for arithmetic\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": 5.0,\n \"delay\": 5.0,\n \"power\": -25.0\n },\n \"trade_offs\": [\n \"Power optimization may add area overhead\",\n \"Clock gating adds timing complexity\"\n ],\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"service_clock_gen\",\n \"port_count\": {\n \"inputs\": 1,\n \"outputs\": 2,\n \"inouts\": 0,\n \"total\": 3\n },\n \"signal_count\": {\n \"wires\": 3,\n \"regs\": 1,\n \"parameters\": 0,\n \"total\": 4\n },\n \"always_blocks\": 1,\n \"assign_statements\": 2,\n \"instantiations\": [\n \"generate\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 22,\n \"total_lines\": 27,\n \"cyclomatic_complexity\": 3,\n \"nesting_depth\": 2,\n \"operator_count\": 12\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "category": "multi_tool", "subcategory": "optimization_advisor+static_analyzer", "difficulty": "compositional", "question_hash": "93bc9a9b129e", "stage1_target": "[{\"tool\": \"optimization_advisor\", \"parameters\": {\"target_metric\": \"power\"}}, {\"tool\": \"static_analyzer\", \"parameters\": {\"analysis_type\": \"full\"}}]", "stage2_context": "Question: For service_clock_gen, I want to cut power. Is clock gating a sensible option given how many registers and always blocks the module has, and what power reduction could I expect?\n\n[optimization_advisor {\"target_metric\": \"power\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"power\",\n \"recommended_recipes\": [\n \"synth -top service_clock_gen\",\n \"opt; share; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean; clockgate\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"clock_gating\",\n \"description\": \"Insert clock gating for registers\",\n \"command\": \"clockgate\"\n },\n {\n \"type\": \"operand_isolation\",\n \"description\": \"Isolate operands when not in use\",\n \"command\": \"Use enable signals for arithmetic\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": 5.0,\n \"delay\": 5.0,\n \"power\": -25.0\n },\n \"trade_offs\": [\n \"Power optimization may add area overhead\",\n \"Clock gating adds timing complexity\"\n ],\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"service_clock_gen\",\n \"port_count\": {\n \"inputs\": 1,\n \"outputs\": 2,\n \"inouts\": 0,\n \"total\": 3\n },\n \"signal_count\": {\n \"wires\": 3,\n \"regs\": 1,\n \"parameters\": 0,\n \"total\": 4\n },\n \"always_blocks\": 1,\n \"assign_statements\": 2,\n \"instantiations\": [\n \"generate\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 22,\n \"total_lines\": 27,\n \"cyclomatic_complexity\": 3,\n \"nesting_depth\": 2,\n \"operator_count\": 12\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "plan_id": "a0cf14865847", "design_id": "84b5e6ee854f", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/olofk/serv", "commit": "f200eb2ed7b69ac1c6b8eddd47654522aeee5ce8", "path": "servant/service_clock_gen.v", "sha256": "ae338b7c1cc8bf4b6cedf6d057ab4ab38964546385b03a28d8e0a56db4cdfb8f"}} {"question": "For sirv_qspi_flashmap, the source has only 4 regs in 2 always blocks, but its control logic looks heavily nested. How many flip-flops are left after medium-effort synthesis, and how do the cyclomatic complexity and nesting depth line up with the gate count and critical-path delay?", "answer": "sirv_qspi_flashmap declares just 4 regs in 2 always blocks, and medium-effort synthesis maps them to 7 $_DFF_PP0_ flip-flops out of 352 gates in total. The logic is mostly combinational, with 132 $_AND_ and 72 $_NAND_ cells. That fits the cyclomatic complexity of 106 and nesting depth of 104, which point to deep chained conditional logic and match the long critical-path delay of 312.63.", "source_file": "github_repos/riscv-mcu_e203_hbirdv2/rtl/e203/perips/sirv_spi_flashmap.v", "module_name": "sirv_qspi_flashmap", "tool_name": "static_analyzer+synthesis_tool", "tool_parameters": [{"analysis_type": "full"}, {"optimization_level": "medium"}], "tool_result": "[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"sirv_qspi_flashmap\",\n \"port_count\": {\n \"inputs\": 20,\n \"outputs\": 13,\n \"inouts\": 0,\n \"total\": 33\n },\n \"signal_count\": {\n \"wires\": 92,\n \"regs\": 4,\n \"parameters\": 0,\n \"total\": 96\n },\n \"always_blocks\": 2,\n \"assign_statements\": 105,\n \"instantiations\": [],\n \"code_complexity\": {\n \"lines_of_code\": 462,\n \"total_lines\": 473,\n \"cyclomatic_complexity\": 106,\n \"nesting_depth\": 104,\n \"operator_count\": 253\n },\n \"lint_warnings\": [],\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 430.0,\n \"delay\": 312.63,\n \"power\": 0.352,\n \"gate_count\": 352,\n \"cell_breakdown\": {\n \"$_ANDNOT_\": 27,\n \"$_AND_\": 132,\n \"$_DFF_PP0_\": 7,\n \"$_NAND_\": 72,\n \"$_NOR_\": 5,\n \"$_NOT_\": 2,\n \"$_ORNOT_\": 11,\n \"$_OR_\": 36,\n \"$_XNOR_\": 32,\n \"$_XOR_\": 28\n },\n \"wire_count\": 366,\n \"wire_bits\": 546,\n \"critical_path_estimate\": 312.63,\n...[1290 chars elided]...\n \"error\": null\n}", "category": "multi_tool", "subcategory": "static_analyzer+synthesis_tool", "difficulty": "compositional", "question_hash": "2f2f9397e6d9", "stage1_target": "[{\"tool\": \"static_analyzer\", \"parameters\": {\"analysis_type\": \"full\"}}, {\"tool\": \"synthesis_tool\", \"parameters\": {\"optimization_level\": \"medium\"}}]", "stage2_context": "Question: For sirv_qspi_flashmap, the source has only 4 regs in 2 always blocks, but its control logic looks heavily nested. How many flip-flops are left after medium-effort synthesis, and how do the cyclomatic complexity and nesting depth line up with the gate count and critical-path delay?\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"sirv_qspi_flashmap\",\n \"port_count\": {\n \"inputs\": 20,\n \"outputs\": 13,\n \"inouts\": 0,\n \"total\": 33\n },\n \"signal_count\": {\n \"wires\": 92,\n \"regs\": 4,\n \"parameters\": 0,\n \"total\": 96\n },\n \"always_blocks\": 2,\n \"assign_statements\": 105,\n \"instantiations\": [],\n \"code_complexity\": {\n \"lines_of_code\": 462,\n \"total_lines\": 473,\n \"cyclomatic_complexity\": 106,\n \"nesting_depth\": 104,\n \"operator_count\": 253\n },\n \"lint_warnings\": [],\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 430.0,\n \"delay\": 312.63,\n \"power\": 0.352,\n \"gate_count\": 352,\n \"cell_breakdown\": {\n \"$_ANDNOT_\": 27,\n \"$_AND_\": 132,\n \"$_DFF_PP0_\": 7,\n \"$_NAND_\": 72,\n \"$_NOR_\": 5,\n \"$_NOT_\": 2,\n \"$_ORNOT_\": 11,\n \"$_OR_\": 36,\n \"$_XNOR_\": 32,\n \"$_XOR_\": 28\n },\n \"wire_count\": 366,\n \"wire_bits\": 546,\n \"critical_path_estimate\": 312.63,\n...[1290 chars elided]...\n \"error\": null\n}", "plan_id": "75d557c2903f", "design_id": "81ed17839bdf", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/riscv-mcu/e203_hbirdv2", "commit": "9f3e34f337f5d0a1236a285871ffa2032491617a", "path": "rtl/e203/perips/sirv_spi_flashmap.v", "sha256": "75169e7054b1b42e626528a728c668d105eef0a510d23c7d70e454572efa1f3b"}} {"question": "For NV_NVDLA_CDP_rdma, the AIG view shows a fairly wide hierarchy of submodules that includes a dedicated SLCG block. Given that hierarchy, how worthwhile would a power-targeted optimization pass be, and what would it cost in area and delay?", "answer": "The AIG of NV_NVDLA_CDP_rdma has 33 nodes and 1987 edges with an average degree of 60.21, and it includes 1 NV_NVDLA_CDP_slcg clock-gating block, 15 input ports and 13 output ports. A power-targeted pass that uses clock gating and operand isolation is estimated to change power by -25.0, at a cost of 5.0 in area and 5.0 in delay. The main trade-offs are extra area overhead and added timing complexity from the clock gating.", "source_file": "github_repos/nvdla_hw/vmod/nvdla/cdp/NV_NVDLA_CDP_rdma.v", "module_name": "NV_NVDLA_CDP_rdma", "tool_name": "graph_extractor+optimization_advisor", "tool_parameters": [{"graph_type": "AIG"}, {"target_metric": "power"}], "tool_result": "[graph_extractor {\"graph_type\": \"AIG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"AIG\",\n...[40280 chars elided]...\n \"node_count\": 33,\n \"edge_count\": 1987,\n \"graph_properties\": {\n \"node_types\": {\n \"NV_NVDLA_CDP_RDMA_cq\": 1,\n \"NV_NVDLA_CDP_RDMA_eg\": 1,\n \"NV_NVDLA_CDP_RDMA_ig\": 1,\n \"NV_NVDLA_CDP_RDMA_reg\": 1,\n \"NV_NVDLA_CDP_slcg\": 1,\n \"port_input\": 15,\n \"port_output\": 13\n },\n \"avg_degree\": 60.21,\n \"module_name\": \"NV_NVDLA_CDP_rdma\"\n },\n \"error\": null\n}\n\n[optimization_advisor {\"target_metric\": \"power\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"power\",\n \"recommended_recipes\": [\n \"synth -top NV_NVDLA_CDP_rdma\",\n \"opt; share; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean; clockgate\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"clock_gating\",\n \"description\": \"Insert clock gating for registers\",\n \"command\": \"clockgate\"\n },\n {\n \"type\": \"operand_isolation\",\n \"description\": \"Isolate operands when not in use\",\n \"command\": \"Use enable signals for arithmetic\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": 5.0,\n \"delay\": 5.0,\n \"power\": -25.0\n },\n \"trade_offs\": [\n \"Power optimization may add area overhead\",\n \"Clock gating adds timing complexity\"\n ],\n \"error\": null\n}", "category": "multi_tool", "subcategory": "graph_extractor+optimization_advisor", "difficulty": "compositional", "question_hash": "5a428824445f", "stage1_target": "[{\"tool\": \"graph_extractor\", \"parameters\": {\"graph_type\": \"AIG\"}}, {\"tool\": \"optimization_advisor\", \"parameters\": {\"target_metric\": \"power\"}}]", "stage2_context": "Question: For NV_NVDLA_CDP_rdma, the AIG view shows a fairly wide hierarchy of submodules that includes a dedicated SLCG block. Given that hierarchy, how worthwhile would a power-targeted optimization pass be, and what would it cost in area and delay?\n\n[graph_extractor {\"graph_type\": \"AIG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"AIG\",\n...[40280 chars elided]...\n \"node_count\": 33,\n \"edge_count\": 1987,\n \"graph_properties\": {\n \"node_types\": {\n \"NV_NVDLA_CDP_RDMA_cq\": 1,\n \"NV_NVDLA_CDP_RDMA_eg\": 1,\n \"NV_NVDLA_CDP_RDMA_ig\": 1,\n \"NV_NVDLA_CDP_RDMA_reg\": 1,\n \"NV_NVDLA_CDP_slcg\": 1,\n \"port_input\": 15,\n \"port_output\": 13\n },\n \"avg_degree\": 60.21,\n \"module_name\": \"NV_NVDLA_CDP_rdma\"\n },\n \"error\": null\n}\n\n[optimization_advisor {\"target_metric\": \"power\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"power\",\n \"recommended_recipes\": [\n \"synth -top NV_NVDLA_CDP_rdma\",\n \"opt; share; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean; clockgate\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"clock_gating\",\n \"description\": \"Insert clock gating for registers\",\n \"command\": \"clockgate\"\n },\n {\n \"type\": \"operand_isolation\",\n \"description\": \"Isolate operands when not in use\",\n \"command\": \"Use enable signals for arithmetic\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": 5.0,\n \"delay\": 5.0,\n \"power\": -25.0\n },\n \"trade_offs\": [\n \"Power optimization may add area overhead\",\n \"Clock gating adds timing complexity\"\n ],\n \"error\": null\n}", "plan_id": "bc31e94b611f", "design_id": "867619884ae5", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/nvdla/hw", "commit": "8e06b1b9d85aab65b40d43d08eec5ea4681ff715", "path": "vmod/nvdla/cdp/NV_NVDLA_CDP_rdma.v", "sha256": "ff79b39358244b5e543adcdcecfb6922a9293b630f05711336db8cf9d431bda3"}} {"question": "For NV_NVDLA_CDP_rdma, how well does the RTL line up with the synthesized netlist, and does the synthesized structure suggest the module is basically a hierarchical wrapper? Please mention the mapping alignment, the element that couldn't be mapped, and the synthesized cell count, wire count and critical-path delay.", "answer": "NV_NVDLA_CDP_rdma has an RTL-to-netlist alignment score of 98.11, with 52 of 53 RTL signals mapped. The only unmapped element is u_reg, but synthesis still shows a single NV_NVDLA_CDP_RDMA_reg cell among just 5 cells (cq, eg, ig, reg and slcg), plus 52 wires carrying 1697 bits. Together these results show it is a hierarchical wrapper with no logic of its own, and its estimated critical-path delay is 81.03.", "source_file": "github_repos/nvdla_hw/vmod/nvdla/cdp/NV_NVDLA_CDP_rdma.v", "module_name": "NV_NVDLA_CDP_rdma", "tool_name": "cross_stage_mapper+synthesis_tool", "tool_parameters": [{}, {"optimization_level": "medium"}], "tool_result": "[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"cdp2mcif_rd_req_pd\": [\n \"cdp2mcif_rd_req_pd\"\n ],\n \"cdp_rdma2csb_resp_valid\": [\n \"cdp_rdma2csb_resp_valid\"\n ],\n \"cdp2mcif_rd_cdt_lat_fifo_pop\": [\n \"cdp2mcif_rd_cdt_lat_fifo_pop\"\n ],\n \"csb2cdp_rdma_req_prdy\": [\n \"csb2cdp_rdma_req_prdy\"\n ],\n \"cq_wr_pvld\": [\n \"cq_wr_pvld\"\n ],\n \"reg2dp_height\": [\n \"reg2dp_height\"\n ],\n...[2202 chars elided]...\neg_d1_perf_read_stall\"\n ],\n \"mcif2cdp_rd_rsp_valid\": [\n \"mcif2cdp_rd_rsp_valid\"\n ],\n \"reg2dp_input_data\": [\n \"reg2dp_input_data\"\n ],\n \"reg2dp_src_base_addr_high\": [\n \"reg2dp_src_base_addr_high\"\n ],\n \"pwrbus_ram_pd\": [\n \"pwrbus_ram_pd\"\n ],\n \"reg2dp_src_surface_stride\": [\n \"reg2dp_src_surface_stride\"\n ],\n \"mcif2cdp_rd_rsp_ready\": [\n \"mcif2cdp_rd_rsp_ready\"\n ],\n \"cdp2mcif_rd_req_valid\": [\n \"cdp2mcif_rd_req_valid\"\n ],\n \"reg2dp_channel\": [\n \"reg2dp_channel\"\n ],\n \"dp2reg_d0_perf_read_stall\": [\n \"dp2reg_d0_perf_read_stall\"\n ]\n },\n \"alignment_score\": 98.11,\n \"unmapped_elements\": [\n \"u_reg\"\n ],\n \"mapping_statistics\": {\n \"rtl_signals\": 53,\n \"netlist_wires\": 52,\n \"netlist_cells\": 0,\n \"mapped_signals\": 52,\n \"unmapped_signals\": 1\n },\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 5.0,\n \"delay\": 81.03,\n \"power\": 0.005,\n \"gate_count\": 5,\n \"cell_breakdown\": {\n \"NV_NVDLA_CDP_RDMA_cq\": 1,\n \"NV_NVDLA_CDP_RDMA_eg\": 1,\n \"NV_NVDLA_CDP_RDMA_ig\": 1,\n \"NV_NVDLA_CDP_RDMA_reg\": 1,\n \"NV_NVDLA_CDP_slcg\": 1\n },\n \"wire_count\": 52,\n \"wire_bits\": 1697,\n \"critical_path_estimate\": 81.03,\n...[1223 chars elided]...\n \"error\": null\n}", "category": "multi_tool", "subcategory": "cross_stage_mapper+synthesis_tool", "difficulty": "compositional", "question_hash": "830aa9596796", "stage1_target": "[{\"tool\": \"cross_stage_mapper\", \"parameters\": {}}, {\"tool\": \"synthesis_tool\", \"parameters\": {\"optimization_level\": \"medium\"}}]", "stage2_context": "Question: For NV_NVDLA_CDP_rdma, how well does the RTL line up with the synthesized netlist, and does the synthesized structure suggest the module is basically a hierarchical wrapper? Please mention the mapping alignment, the element that couldn't be mapped, and the synthesized cell count, wire count and critical-path delay.\n\n[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"cdp2mcif_rd_req_pd\": [\n \"cdp2mcif_rd_req_pd\"\n ],\n \"cdp_rdma2csb_resp_valid\": [\n \"cdp_rdma2csb_resp_valid\"\n ],\n \"cdp2mcif_rd_cdt_lat_fifo_pop\": [\n \"cdp2mcif_rd_cdt_lat_fifo_pop\"\n ],\n \"csb2cdp_rdma_req_prdy\": [\n \"csb2cdp_rdma_req_prdy\"\n ],\n \"cq_wr_pvld\": [\n \"cq_wr_pvld\"\n ],\n \"reg2dp_height\": [\n \"reg2dp_height\"\n ],\n...[2202 chars elided]...\neg_d1_perf_read_stall\"\n ],\n \"mcif2cdp_rd_rsp_valid\": [\n \"mcif2cdp_rd_rsp_valid\"\n ],\n \"reg2dp_input_data\": [\n \"reg2dp_input_data\"\n ],\n \"reg2dp_src_base_addr_high\": [\n \"reg2dp_src_base_addr_high\"\n ],\n \"pwrbus_ram_pd\": [\n \"pwrbus_ram_pd\"\n ],\n \"reg2dp_src_surface_stride\": [\n \"reg2dp_src_surface_stride\"\n ],\n \"mcif2cdp_rd_rsp_ready\": [\n \"mcif2cdp_rd_rsp_ready\"\n ],\n \"cdp2mcif_rd_req_valid\": [\n \"cdp2mcif_rd_req_valid\"\n ],\n \"reg2dp_channel\": [\n \"reg2dp_channel\"\n ],\n \"dp2reg_d0_perf_read_stall\": [\n \"dp2reg_d0_perf_read_stall\"\n ]\n },\n \"alignment_score\": 98.11,\n \"unmapped_elements\": [\n \"u_reg\"\n ],\n \"mapping_statistics\": {\n \"rtl_signals\": 53,\n \"netlist_wires\": 52,\n \"netlist_cells\": 0,\n \"mapped_signals\": 52,\n \"unmapped_signals\": 1\n },\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 5.0,\n \"delay\": 81.03,\n \"power\": 0.005,\n \"gate_count\": 5,\n \"cell_breakdown\": {\n \"NV_NVDLA_CDP_RDMA_cq\": 1,\n \"NV_NVDLA_CDP_RDMA_eg\": 1,\n \"NV_NVDLA_CDP_RDMA_ig\": 1,\n \"NV_NVDLA_CDP_RDMA_reg\": 1,\n \"NV_NVDLA_CDP_slcg\": 1\n },\n \"wire_count\": 52,\n \"wire_bits\": 1697,\n \"critical_path_estimate\": 81.03,\n...[1223 chars elided]...\n \"error\": null\n}", "plan_id": "86f9c4af7bf7", "design_id": "867619884ae5", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/nvdla/hw", "commit": "8e06b1b9d85aab65b40d43d08eec5ea4681ff715", "path": "vmod/nvdla/cdp/NV_NVDLA_CDP_rdma.v", "sha256": "ff79b39358244b5e543adcdcecfb6922a9293b630f05711336db8cf9d431bda3"}} {"question": "For NV_NVDLA_partition_m, the CDFG shows it is mostly a wrapper around a few submodule instances and many ports. Given that structure, how much can I realistically expect from the proposed area-targeted optimization, and what would it cost me in delay?", "answer": "The CDFG of NV_NVDLA_partition_m has 290 nodes and 3874 edges, and 271 of those nodes are port_input. Its logic sits in a single NV_NVDLA_cmac instance plus the NV_NVDLA_sync3d, NV_NVDLA_sync3d_s and NV_NVDLA_reset instances. The area-targeted recipe (including 'share -aggressive') estimates a -15.0 area change in return for a 5.0 delay increase, but almost all of that saving would have to come from flattening and sharing inside the cmac, since this level is mostly ports and wiring.", "source_file": "github_repos/nvdla_hw/vmod/nvdla/top/NV_NVDLA_partition_m.v", "module_name": "NV_NVDLA_partition_m", "tool_name": "graph_extractor+optimization_advisor", "tool_parameters": [{"graph_type": "CDFG"}, {"target_metric": "area"}], "tool_result": "[graph_extractor {\"graph_type\": \"CDFG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"CDFG\",\n...[40308 chars elided]...\n \"node_count\": 290,\n \"edge_count\": 3874,\n \"graph_properties\": {\n \"node_types\": {\n \"NV_NVDLA_cmac\": 1,\n \"NV_NVDLA_sync3d\": 1,\n \"NV_NVDLA_sync3d_s\": 1,\n \"NV_NVDLA_reset\": 1,\n \"port_input\": 271,\n \"port_output\": 15\n },\n \"avg_degree\": 13.36,\n \"module_name\": \"NV_NVDLA_partition_m\"\n },\n \"error\": null\n}\n\n[optimization_advisor {\"target_metric\": \"area\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"area\",\n \"recommended_recipes\": [\n \"synth -top NV_NVDLA_partition_m -flatten\",\n \"opt -full; share -aggressive; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean -purge\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"resource_sharing\",\n \"description\": \"Share arithmetic operators\",\n \"command\": \"share -aggressive\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": -15.0,\n \"delay\": 5.0,\n \"power\": -10.0\n },\n \"trade_offs\": [\n \"Area optimization may increase delay\",\n \"Aggressive sharing increases routing complexity\"\n ],\n \"error\": null\n}", "category": "multi_tool", "subcategory": "graph_extractor+optimization_advisor", "difficulty": "compositional", "question_hash": "c987fa5f61e5", "stage1_target": "[{\"tool\": \"graph_extractor\", \"parameters\": {\"graph_type\": \"CDFG\"}}, {\"tool\": \"optimization_advisor\", \"parameters\": {\"target_metric\": \"area\"}}]", "stage2_context": "Question: For NV_NVDLA_partition_m, the CDFG shows it is mostly a wrapper around a few submodule instances and many ports. Given that structure, how much can I realistically expect from the proposed area-targeted optimization, and what would it cost me in delay?\n\n[graph_extractor {\"graph_type\": \"CDFG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"CDFG\",\n...[40308 chars elided]...\n \"node_count\": 290,\n \"edge_count\": 3874,\n \"graph_properties\": {\n \"node_types\": {\n \"NV_NVDLA_cmac\": 1,\n \"NV_NVDLA_sync3d\": 1,\n \"NV_NVDLA_sync3d_s\": 1,\n \"NV_NVDLA_reset\": 1,\n \"port_input\": 271,\n \"port_output\": 15\n },\n \"avg_degree\": 13.36,\n \"module_name\": \"NV_NVDLA_partition_m\"\n },\n \"error\": null\n}\n\n[optimization_advisor {\"target_metric\": \"area\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"area\",\n \"recommended_recipes\": [\n \"synth -top NV_NVDLA_partition_m -flatten\",\n \"opt -full; share -aggressive; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean -purge\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"resource_sharing\",\n \"description\": \"Share arithmetic operators\",\n \"command\": \"share -aggressive\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": -15.0,\n \"delay\": 5.0,\n \"power\": -10.0\n },\n \"trade_offs\": [\n \"Area optimization may increase delay\",\n \"Aggressive sharing increases routing complexity\"\n ],\n \"error\": null\n}", "plan_id": "6cf71fdf880b", "design_id": "87ef97397f62", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/nvdla/hw", "commit": "8e06b1b9d85aab65b40d43d08eec5ea4681ff715", "path": "vmod/nvdla/top/NV_NVDLA_partition_m.v", "sha256": "9c4895c84cbda661ae5813cdced21427d3fd2f8287a91559e09c3524734a92ee"}} {"question": "In the DFG of NV_NVDLA_RUBIK_dual_reg, the design consists mostly of enable flip-flops, equality comparators, and AND gates with just one priority mux. Given that structure, how realistic is the area-targeted optimization's estimated area improvement, and what delay cost does it predict?", "answer": "The DFG of NV_NVDLA_RUBIK_dual_reg has 23 $adffe registers, 23 $eq comparators, 21 $and gates and only 1 $pmux, so the module is mostly register-decode logic with almost no arithmetic for operator sharing to work on. That makes the estimated area improvement of -15.0 look optimistic, and the area-targeted optimization also predicts a delay change of 5.0, in line with its warning that area optimization may increase delay.", "source_file": "github_repos/nvdla_hw/vmod/nvdla/rubik/NV_NVDLA_RUBIK_dual_reg.v", "module_name": "NV_NVDLA_RUBIK_dual_reg", "tool_name": "graph_extractor+optimization_advisor", "tool_parameters": [{"graph_type": "DFG"}, {"target_metric": "area"}], "tool_result": "[graph_extractor {\"graph_type\": \"DFG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"DFG\",\n...[62045 chars elided]...\n \"node_count\": 101,\n \"edge_count\": 2336,\n \"graph_properties\": {\n \"node_types\": {\n \"$and\": 21,\n \"$adffe\": 23,\n \"$eq\": 23,\n \"$pmux\": 1,\n \"port_output\": 25,\n \"port_input\": 8\n },\n \"avg_degree\": 23.13,\n \"module_name\": \"NV_NVDLA_RUBIK_dual_reg\"\n },\n \"error\": null\n}\n\n[optimization_advisor {\"target_metric\": \"area\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"area\",\n \"recommended_recipes\": [\n \"synth -top NV_NVDLA_RUBIK_dual_reg -flatten\",\n \"opt -full; share -aggressive; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean -purge\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"mux_optimization\",\n \"description\": \"Share multiplexers where possible\",\n \"command\": \"muxcover; opt\"\n },\n {\n \"type\": \"resource_sharing\",\n \"description\": \"Share arithmetic operators\",\n \"command\": \"share -aggressive\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": -15.0,\n \"delay\": 5.0,\n \"power\": -10.0\n },\n \"trade_offs\": [\n \"Area optimization may increase delay\",\n \"Aggressive sharing increases routing complexity\"\n ],\n \"error\": null\n}", "category": "multi_tool", "subcategory": "graph_extractor+optimization_advisor", "difficulty": "compositional", "question_hash": "06a06edbf421", "stage1_target": "[{\"tool\": \"graph_extractor\", \"parameters\": {\"graph_type\": \"DFG\"}}, {\"tool\": \"optimization_advisor\", \"parameters\": {\"target_metric\": \"area\"}}]", "stage2_context": "Question: In the DFG of NV_NVDLA_RUBIK_dual_reg, the design consists mostly of enable flip-flops, equality comparators, and AND gates with just one priority mux. Given that structure, how realistic is the area-targeted optimization's estimated area improvement, and what delay cost does it predict?\n\n[graph_extractor {\"graph_type\": \"DFG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"DFG\",\n...[62045 chars elided]...\n \"node_count\": 101,\n \"edge_count\": 2336,\n \"graph_properties\": {\n \"node_types\": {\n \"$and\": 21,\n \"$adffe\": 23,\n \"$eq\": 23,\n \"$pmux\": 1,\n \"port_output\": 25,\n \"port_input\": 8\n },\n \"avg_degree\": 23.13,\n \"module_name\": \"NV_NVDLA_RUBIK_dual_reg\"\n },\n \"error\": null\n}\n\n[optimization_advisor {\"target_metric\": \"area\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"area\",\n \"recommended_recipes\": [\n \"synth -top NV_NVDLA_RUBIK_dual_reg -flatten\",\n \"opt -full; share -aggressive; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean -purge\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"mux_optimization\",\n \"description\": \"Share multiplexers where possible\",\n \"command\": \"muxcover; opt\"\n },\n {\n \"type\": \"resource_sharing\",\n \"description\": \"Share arithmetic operators\",\n \"command\": \"share -aggressive\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": -15.0,\n \"delay\": 5.0,\n \"power\": -10.0\n },\n \"trade_offs\": [\n \"Area optimization may increase delay\",\n \"Aggressive sharing increases routing complexity\"\n ],\n \"error\": null\n}", "plan_id": "a57c56c4b083", "design_id": "8826d6f21b31", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/nvdla/hw", "commit": "8e06b1b9d85aab65b40d43d08eec5ea4681ff715", "path": "vmod/nvdla/rubik/NV_NVDLA_RUBIK_dual_reg.v", "sha256": "5b567b031cb1731e0401096b1e3fc5875b13d661375544e49d7812bfacb3b469"}} {"question": "The DFG of NV_NVDLA_CACC_single_reg looks like a small register block. Using that graph, what are its node and edge counts, and which logic cells does it contain? Given that structure, how believable is the delay-targeted optimization estimate, and what area and power costs does it come with?", "answer": "The DFG of NV_NVDLA_CACC_single_reg has 15 nodes and 176 edges, and its logic is one $adffe register, one $pmux, one $eq, one $and and one $logic_not, so it is mostly control and register-select logic. The delay-targeted optimization estimates a -20.0 delay change, but that costs 10.0 in area and 5.0 in power. Its 'pipeline arithmetic operations' suggestion doesn't fit well here, because the graph contains no arithmetic cells.", "source_file": "github_repos/nvdla_hw/vmod/nvdla/cacc/NV_NVDLA_CACC_single_reg.v", "module_name": "NV_NVDLA_CACC_single_reg", "tool_name": "graph_extractor+optimization_advisor", "tool_parameters": [{"graph_type": "DFG"}, {"target_metric": "delay"}], "tool_result": "[graph_extractor {\"graph_type\": \"DFG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"DFG\",\n...[18244 chars elided]...\n \"node_count\": 15,\n \"edge_count\": 176,\n \"graph_properties\": {\n \"node_types\": {\n \"$and\": 1,\n \"$adffe\": 1,\n \"$pmux\": 1,\n \"$logic_not\": 1,\n \"$eq\": 1,\n \"port_output\": 2,\n \"port_input\": 8\n },\n \"avg_degree\": 11.73,\n \"module_name\": \"NV_NVDLA_CACC_single_reg\"\n },\n \"error\": null\n}\n\n[optimization_advisor {\"target_metric\": \"delay\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"delay\",\n \"recommended_recipes\": [\n \"synth -top NV_NVDLA_CACC_single_reg\",\n \"opt -fast\",\n \"abc -fast -liberty stdcells.lib\",\n \"opt_clean\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"pipeline_insertion\",\n \"description\": \"Consider pipelining arithmetic operations\",\n \"command\": \"Use register retiming\"\n },\n {\n \"type\": \"logic_duplication\",\n \"description\": \"Duplicate logic to reduce fanout\",\n \"command\": \"splitnets -driver\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": 10.0,\n \"delay\": -20.0,\n \"power\": 5.0\n },\n \"trade_offs\": [\n \"Speed optimization increases area\",\n \"Higher power consumption\"\n ],\n \"error\": null\n}", "category": "multi_tool", "subcategory": "graph_extractor+optimization_advisor", "difficulty": "compositional", "question_hash": "82cf874cbb50", "stage1_target": "[{\"tool\": \"graph_extractor\", \"parameters\": {\"graph_type\": \"DFG\"}}, {\"tool\": \"optimization_advisor\", \"parameters\": {\"target_metric\": \"delay\"}}]", "stage2_context": "Question: The DFG of NV_NVDLA_CACC_single_reg looks like a small register block. Using that graph, what are its node and edge counts, and which logic cells does it contain? Given that structure, how believable is the delay-targeted optimization estimate, and what area and power costs does it come with?\n\n[graph_extractor {\"graph_type\": \"DFG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"DFG\",\n...[18244 chars elided]...\n \"node_count\": 15,\n \"edge_count\": 176,\n \"graph_properties\": {\n \"node_types\": {\n \"$and\": 1,\n \"$adffe\": 1,\n \"$pmux\": 1,\n \"$logic_not\": 1,\n \"$eq\": 1,\n \"port_output\": 2,\n \"port_input\": 8\n },\n \"avg_degree\": 11.73,\n \"module_name\": \"NV_NVDLA_CACC_single_reg\"\n },\n \"error\": null\n}\n\n[optimization_advisor {\"target_metric\": \"delay\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"delay\",\n \"recommended_recipes\": [\n \"synth -top NV_NVDLA_CACC_single_reg\",\n \"opt -fast\",\n \"abc -fast -liberty stdcells.lib\",\n \"opt_clean\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"pipeline_insertion\",\n \"description\": \"Consider pipelining arithmetic operations\",\n \"command\": \"Use register retiming\"\n },\n {\n \"type\": \"logic_duplication\",\n \"description\": \"Duplicate logic to reduce fanout\",\n \"command\": \"splitnets -driver\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": 10.0,\n \"delay\": -20.0,\n \"power\": 5.0\n },\n \"trade_offs\": [\n \"Speed optimization increases area\",\n \"Higher power consumption\"\n ],\n \"error\": null\n}", "plan_id": "99b4d679c96f", "design_id": "882ca105e7af", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/nvdla/hw", "commit": "8e06b1b9d85aab65b40d43d08eec5ea4681ff715", "path": "vmod/nvdla/cacc/NV_NVDLA_CACC_single_reg.v", "sha256": "e9c1412a6ebc6d3072b530c34a316ba0c3f01821ca4f4db5b1ce69202a259cc0"}} {"question": "For the p_SSYNC2DO_C_PP synchronizer module, is it worth applying an area-targeted optimization flow that includes aggressive operator sharing, given how small and simple the design is structurally? Please weigh the expected area/delay trade-off against its port, register, and complexity profile.", "answer": "p_SSYNC2DO_C_PP is a very small design: 3 inputs, 1 output, a single reg in 1 always block, 19 lines of code, a cyclomatic complexity of 4 and no lint warnings. The area-targeted recipe (which includes \"share -aggressive\") is estimated to change area by -15.0 and delay by 5.0. Since a design this small probably has few arithmetic operators to share, that delay penalty and the added routing complexity are probably not worth paying for an area gain that will likely be modest.", "source_file": "github_repos/nvdla_hw/vmod/vlibs/p_SSYNC2DO_C_PP.v", "module_name": "p_SSYNC2DO_C_PP", "tool_name": "optimization_advisor+static_analyzer", "tool_parameters": [{"target_metric": "area"}, {"analysis_type": "full"}], "tool_result": "[optimization_advisor {\"target_metric\": \"area\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"area\",\n \"recommended_recipes\": [\n \"synth -top p_SSYNC2DO_C_PP -flatten\",\n \"opt -full; share -aggressive; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean -purge\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"resource_sharing\",\n \"description\": \"Share arithmetic operators\",\n \"command\": \"share -aggressive\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": -15.0,\n \"delay\": 5.0,\n \"power\": -10.0\n },\n \"trade_offs\": [\n \"Area optimization may increase delay\",\n \"Aggressive sharing increases routing complexity\"\n ],\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"p_SSYNC2DO_C_PP\",\n \"port_count\": {\n \"inputs\": 3,\n \"outputs\": 1,\n \"inouts\": 0,\n \"total\": 4\n },\n \"signal_count\": {\n \"wires\": 0,\n \"regs\": 1,\n \"parameters\": 0,\n \"total\": 1\n },\n \"always_blocks\": 1,\n \"assign_statements\": 0,\n \"instantiations\": [],\n \"code_complexity\": {\n \"lines_of_code\": 19,\n \"total_lines\": 38,\n \"cyclomatic_complexity\": 4,\n \"nesting_depth\": 1,\n \"operator_count\": 193\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "category": "multi_tool", "subcategory": "optimization_advisor+static_analyzer", "difficulty": "compositional", "question_hash": "c7d10c717930", "stage1_target": "[{\"tool\": \"optimization_advisor\", \"parameters\": {\"target_metric\": \"area\"}}, {\"tool\": \"static_analyzer\", \"parameters\": {\"analysis_type\": \"full\"}}]", "stage2_context": "Question: For the p_SSYNC2DO_C_PP synchronizer module, is it worth applying an area-targeted optimization flow that includes aggressive operator sharing, given how small and simple the design is structurally? Please weigh the expected area/delay trade-off against its port, register, and complexity profile.\n\n[optimization_advisor {\"target_metric\": \"area\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"area\",\n \"recommended_recipes\": [\n \"synth -top p_SSYNC2DO_C_PP -flatten\",\n \"opt -full; share -aggressive; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean -purge\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"resource_sharing\",\n \"description\": \"Share arithmetic operators\",\n \"command\": \"share -aggressive\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": -15.0,\n \"delay\": 5.0,\n \"power\": -10.0\n },\n \"trade_offs\": [\n \"Area optimization may increase delay\",\n \"Aggressive sharing increases routing complexity\"\n ],\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"p_SSYNC2DO_C_PP\",\n \"port_count\": {\n \"inputs\": 3,\n \"outputs\": 1,\n \"inouts\": 0,\n \"total\": 4\n },\n \"signal_count\": {\n \"wires\": 0,\n \"regs\": 1,\n \"parameters\": 0,\n \"total\": 1\n },\n \"always_blocks\": 1,\n \"assign_statements\": 0,\n \"instantiations\": [],\n \"code_complexity\": {\n \"lines_of_code\": 19,\n \"total_lines\": 38,\n \"cyclomatic_complexity\": 4,\n \"nesting_depth\": 1,\n \"operator_count\": 193\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "plan_id": "2a094092ae29", "design_id": "88c35b358c34", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/nvdla/hw", "commit": "8e06b1b9d85aab65b40d43d08eec5ea4681ff715", "path": "vmod/vlibs/p_SSYNC2DO_C_PP.v", "sha256": "a51723a62dc27ede57300c54a4b4f45b4352cbdec550b488dac62504251180f1"}} {"question": "For sirv_jtaggpioport, is the netlist a direct pass-through of the RTL? Please compare the RTL-to-netlist signal mapping coverage against the RTL structure, including the number of assign statements, always blocks and ports.", "answer": "sirv_jtaggpioport is pure combinational wiring: all 40 RTL signals map to the netlist with an alignment score of 100.0, there are 0 unmapped signals and 0 netlist cells. This fits an RTL made only of 31 assign statements with 0 always blocks and 0 regs, connecting 9 inputs to 29 outputs.", "source_file": "github_repos/riscv-mcu_e203_hbirdv2/rtl/e203/perips/sirv_jtaggpioport.v", "module_name": "sirv_jtaggpioport", "tool_name": "cross_stage_mapper+static_analyzer", "tool_parameters": [{}, {"analysis_type": "full"}], "tool_result": "[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"io_jtag_DRV_TDO\": [\n \"io_jtag_DRV_TDO\"\n ],\n \"io_pins_TDO_o_pue\": [\n \"io_pins_TDO_o_pue\"\n ],\n \"io_pins_TCK_o_ie\": [\n \"io_pins_TCK_o_ie\"\n ],\n \"io_pins_TRST_n_o_pue\": [\n \"io_pins_TRST_n_o_pue\"\n ],\n \"io_pins_TCK_o_oval\": [\n \"io_pins_TCK_o_oval\"\n ],\n \"io_pins_TMS_o_oe\": [\n \"io_pins_TMS_o_oe\"\n ],\n \"io_pins_TDI_o_pu\n...[1244 chars elided]...\nal\"\n ],\n \"io_pins_TDO_i_ival\": [\n \"io_pins_TDO_i_ival\"\n ],\n \"io_pins_TRST_n_o_oval\": [\n \"io_pins_TRST_n_o_oval\"\n ],\n \"reset\": [\n \"reset\"\n ],\n \"io_pins_TMS_o_pue\": [\n \"io_pins_TMS_o_pue\"\n ],\n \"io_pins_TDO_o_ds\": [\n \"io_pins_TDO_o_ds\"\n ],\n \"io_pins_TRST_n_o_ds\": [\n \"io_pins_TRST_n_o_ds\"\n ],\n \"io_pins_TDI_o_oe\": [\n \"io_pins_TDI_o_oe\"\n ],\n \"io_pins_TRST_n_i_ival\": [\n \"io_pins_TRST_n_i_ival\"\n ],\n \"io_pins_TMS_o_oval\": [\n \"io_pins_TMS_o_oval\"\n ],\n \"io_jtag_TCK\": [\n \"io_jtag_TCK\"\n ],\n \"io_jtag_TDO\": [\n \"io_jtag_TDO\"\n ]\n },\n \"alignment_score\": 100.0,\n \"unmapped_elements\": [],\n \"mapping_statistics\": {\n \"rtl_signals\": 40,\n \"netlist_wires\": 42,\n \"netlist_cells\": 0,\n \"mapped_signals\": 40,\n \"unmapped_signals\": 0\n },\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"sirv_jtaggpioport\",\n \"port_count\": {\n \"inputs\": 9,\n \"outputs\": 29,\n \"inouts\": 0,\n \"total\": 38\n },\n \"signal_count\": {\n \"wires\": 2,\n \"regs\": 0,\n \"parameters\": 0,\n \"total\": 2\n },\n \"always_blocks\": 0,\n \"assign_statements\": 31,\n \"instantiations\": [],\n \"code_complexity\": {\n \"lines_of_code\": 86,\n \"total_lines\": 94,\n \"cyclomatic_complexity\": 2,\n \"nesting_depth\": 0,\n \"operator_count\": 42\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "category": "multi_tool", "subcategory": "cross_stage_mapper+static_analyzer", "difficulty": "compositional", "question_hash": "732a02655e03", "stage1_target": "[{\"tool\": \"cross_stage_mapper\", \"parameters\": {}}, {\"tool\": \"static_analyzer\", \"parameters\": {\"analysis_type\": \"full\"}}]", "stage2_context": "Question: For sirv_jtaggpioport, is the netlist a direct pass-through of the RTL? Please compare the RTL-to-netlist signal mapping coverage against the RTL structure, including the number of assign statements, always blocks and ports.\n\n[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"io_jtag_DRV_TDO\": [\n \"io_jtag_DRV_TDO\"\n ],\n \"io_pins_TDO_o_pue\": [\n \"io_pins_TDO_o_pue\"\n ],\n \"io_pins_TCK_o_ie\": [\n \"io_pins_TCK_o_ie\"\n ],\n \"io_pins_TRST_n_o_pue\": [\n \"io_pins_TRST_n_o_pue\"\n ],\n \"io_pins_TCK_o_oval\": [\n \"io_pins_TCK_o_oval\"\n ],\n \"io_pins_TMS_o_oe\": [\n \"io_pins_TMS_o_oe\"\n ],\n \"io_pins_TDI_o_pu\n...[1244 chars elided]...\nal\"\n ],\n \"io_pins_TDO_i_ival\": [\n \"io_pins_TDO_i_ival\"\n ],\n \"io_pins_TRST_n_o_oval\": [\n \"io_pins_TRST_n_o_oval\"\n ],\n \"reset\": [\n \"reset\"\n ],\n \"io_pins_TMS_o_pue\": [\n \"io_pins_TMS_o_pue\"\n ],\n \"io_pins_TDO_o_ds\": [\n \"io_pins_TDO_o_ds\"\n ],\n \"io_pins_TRST_n_o_ds\": [\n \"io_pins_TRST_n_o_ds\"\n ],\n \"io_pins_TDI_o_oe\": [\n \"io_pins_TDI_o_oe\"\n ],\n \"io_pins_TRST_n_i_ival\": [\n \"io_pins_TRST_n_i_ival\"\n ],\n \"io_pins_TMS_o_oval\": [\n \"io_pins_TMS_o_oval\"\n ],\n \"io_jtag_TCK\": [\n \"io_jtag_TCK\"\n ],\n \"io_jtag_TDO\": [\n \"io_jtag_TDO\"\n ]\n },\n \"alignment_score\": 100.0,\n \"unmapped_elements\": [],\n \"mapping_statistics\": {\n \"rtl_signals\": 40,\n \"netlist_wires\": 42,\n \"netlist_cells\": 0,\n \"mapped_signals\": 40,\n \"unmapped_signals\": 0\n },\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"sirv_jtaggpioport\",\n \"port_count\": {\n \"inputs\": 9,\n \"outputs\": 29,\n \"inouts\": 0,\n \"total\": 38\n },\n \"signal_count\": {\n \"wires\": 2,\n \"regs\": 0,\n \"parameters\": 0,\n \"total\": 2\n },\n \"always_blocks\": 0,\n \"assign_statements\": 31,\n \"instantiations\": [],\n \"code_complexity\": {\n \"lines_of_code\": 86,\n \"total_lines\": 94,\n \"cyclomatic_complexity\": 2,\n \"nesting_depth\": 0,\n \"operator_count\": 42\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "plan_id": "95baaa89c2d5", "design_id": "894b3bb4f521", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/riscv-mcu/e203_hbirdv2", "commit": "9f3e34f337f5d0a1236a285871ffa2032491617a", "path": "rtl/e203/perips/sirv_jtaggpioport.v", "sha256": "a9e64f06152c28426c04a7064651439b5bcce827ee7cb43ccd226b8673679d64"}} {"question": "For the RAMPDP_32X192_GL_M1_D2 module, how does the number of latch nodes in the CDFG compare with the latch cells left after medium-effort synthesis, and what do the synthesized area and delay say about the cost of that latch-based storage?", "answer": "The CDFG of RAMPDP_32X192_GL_M1_D2 has only 37 $dlatch nodes among its 676 nodes. After medium-effort synthesis these become 6144 $_DLATCH_N_ cells and 202 $_DLATCH_P_ cells, alongside 6176 $_NAND_ gates. The latch-based storage therefore dominates the 19156-gate netlist, which has an area of 26310.5 and a delay of 609.62.", "source_file": "github_repos/nvdla_hw/vmod/rams/model/RAMPDP_32X192_GL_M1_D2.v", "module_name": "RAMPDP_32X192_GL_M1_D2", "tool_name": "graph_extractor+synthesis_tool", "tool_parameters": [{"graph_type": "CDFG"}, {"optimization_level": "medium"}], "tool_result": "[graph_extractor {\"graph_type\": \"CDFG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"CDFG\",\n...[60521 chars elided]...\n \"node_count\": 676,\n \"edge_count\": 25067,\n \"graph_properties\": {\n \"node_types\": {\n \"$not\": 45,\n \"$reduce_or\": 33,\n \"$and\": 52,\n \"$dlatch\": 37,\n \"$eq\": 62,\n \"$logic_not\": 6,\n \"$pmux\": 1,\n \"port_input\": 240,\n \"port_output\": 194,\n \"RAM_BANK_RAMPDP_32X192_GL_M1_D2\": 1,\n \"$or\": 2,\n \"$dff\": 2,\n \"$paramod$fbefcda955c863992319b91e0a5063346432a368\\\\RAMPDP_32X192_GL_M1_D2_ram\": 1\n },\n \"avg_degree\": 37.08,\n \"module_name\": \"RAMPDP_32X192_GL_M1_D2\"\n },\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 26310.5,\n \"delay\": 609.62,\n \"power\": 19.156,\n \"gate_count\": 19156,\n \"cell_breakdown\": {\n \"$_ANDNOT_\": 192,\n \"$_AND_\": 5,\n \"$_DLATCH_N_\": 6144,\n \"$_NAND_\": 6176,\n \"$_NOR_\": 4,\n \"$_DFF_P_\": 199,\n \"$_DLATCH_P_\": 202,\n \"$_NOT_\": 3,\n \"$paramod$fbefcda955c863992319b91e0a5063346432a368\\\\RAMPDP_32X192_GL_M1_D2_ram\": 1,\n \"RAM_BANK_RAMPDP_32X192_GL_M1_D2\": 1\n },\n \"wire_cou\n...[1395 chars elided]...\n \"error\": null\n}", "category": "multi_tool", "subcategory": "graph_extractor+synthesis_tool", "difficulty": "compositional", "question_hash": "0d82244c4baf", "stage1_target": "[{\"tool\": \"graph_extractor\", \"parameters\": {\"graph_type\": \"CDFG\"}}, {\"tool\": \"synthesis_tool\", \"parameters\": {\"optimization_level\": \"medium\"}}]", "stage2_context": "Question: For the RAMPDP_32X192_GL_M1_D2 module, how does the number of latch nodes in the CDFG compare with the latch cells left after medium-effort synthesis, and what do the synthesized area and delay say about the cost of that latch-based storage?\n\n[graph_extractor {\"graph_type\": \"CDFG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"CDFG\",\n...[60521 chars elided]...\n \"node_count\": 676,\n \"edge_count\": 25067,\n \"graph_properties\": {\n \"node_types\": {\n \"$not\": 45,\n \"$reduce_or\": 33,\n \"$and\": 52,\n \"$dlatch\": 37,\n \"$eq\": 62,\n \"$logic_not\": 6,\n \"$pmux\": 1,\n \"port_input\": 240,\n \"port_output\": 194,\n \"RAM_BANK_RAMPDP_32X192_GL_M1_D2\": 1,\n \"$or\": 2,\n \"$dff\": 2,\n \"$paramod$fbefcda955c863992319b91e0a5063346432a368\\\\RAMPDP_32X192_GL_M1_D2_ram\": 1\n },\n \"avg_degree\": 37.08,\n \"module_name\": \"RAMPDP_32X192_GL_M1_D2\"\n },\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 26310.5,\n \"delay\": 609.62,\n \"power\": 19.156,\n \"gate_count\": 19156,\n \"cell_breakdown\": {\n \"$_ANDNOT_\": 192,\n \"$_AND_\": 5,\n \"$_DLATCH_N_\": 6144,\n \"$_NAND_\": 6176,\n \"$_NOR_\": 4,\n \"$_DFF_P_\": 199,\n \"$_DLATCH_P_\": 202,\n \"$_NOT_\": 3,\n \"$paramod$fbefcda955c863992319b91e0a5063346432a368\\\\RAMPDP_32X192_GL_M1_D2_ram\": 1,\n \"RAM_BANK_RAMPDP_32X192_GL_M1_D2\": 1\n },\n \"wire_cou\n...[1395 chars elided]...\n \"error\": null\n}", "plan_id": "a3ef6d0d6c78", "design_id": "8b0982fdbdcd", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/nvdla/hw", "commit": "8e06b1b9d85aab65b40d43d08eec5ea4681ff715", "path": "vmod/rams/model/RAMPDP_32X192_GL_M1_D2.v", "sha256": "acd2600b2137015e7ce0bc9d8afee5da07946fa6e655bbf2ed32b8492c1e55ac"}} {"question": "For sirv_jtaggpioport, does it make sense to run an area-targeted optimization flow? Please consider how completely the RTL signals line up with the synthesized netlist, how small the medium-effort synthesis result already is, and what area improvement the optimization would be expected to give.", "answer": "It's probably not worth it for sirv_jtaggpioport. All 40 RTL signals map to the netlist with an alignment score of 100.0, and medium-effort synthesis already produces just 1 gate (a single $_NOT_ cell) with an area of 0.5, so the module is basically pass-through wiring. The area recipe's estimated -15.0 area improvement, which relies on share -aggressive, has almost nothing to shrink and comes with an estimated 5.0 delay penalty.", "source_file": "github_repos/riscv-mcu_e203_hbirdv2/rtl/e203/perips/sirv_jtaggpioport.v", "module_name": "sirv_jtaggpioport", "tool_name": "cross_stage_mapper+optimization_advisor+synthesis_tool", "tool_parameters": [{}, {"target_metric": "area"}, {"optimization_level": "medium"}], "tool_result": "[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"io_jtag_DRV_TDO\": [\n \"io_jtag_DRV_TDO\"\n ],\n \"io_pins_TDO_o_pue\": [\n \"io_pins_TDO_o_pue\"\n ],\n \"io_pins_TCK_o_ie\": [\n \"io_pins_TCK_o_ie\"\n ],\n \"io_pins_TRST_n_o_pue\": [\n \"io_pins_TRST_n_o_pue\n...[1694 chars elided]...\nio_pins_TRST_n_o_ds\": [\n \"io_pins_TRST_n_o_ds\"\n ],\n \"io_pins_TDI_o_oe\": [\n \"io_pins_TDI_o_oe\"\n ],\n \"io_pins_TRST_n_i_ival\": [\n \"io_pins_TRST_n_i_ival\"\n ],\n \"io_pins_TMS_o_oval\": [\n \"io_pins_TMS_o_oval\"\n ],\n \"io_jtag_TCK\": [\n \"io_jtag_TCK\"\n ],\n \"io_jtag_TDO\": [\n \"io_jtag_TDO\"\n ]\n },\n \"alignment_score\": 100.0,\n \"unmapped_elements\": [],\n \"mapping_statistics\": {\n \"rtl_signals\": 40,\n \"netlist_wires\": 42,\n \"netlist_cells\": 0,\n \"mapped_signals\": 40,\n \"unmapped_signals\": 0\n },\n \"error\": null\n}\n\n[optimization_advisor {\"target_metric\": \"area\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"area\",\n \"recommended_recipes\": [\n \"synth -top sirv_jtaggpioport -flatten\",\n \"opt -full; share -aggressive; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean -purge\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"resource_sharing\",\n \"description\": \"Share arithmetic operators\",\n \"command\": \"share -aggressive\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": -15.0,\n \"delay\": 5.0,\n \"power\": -10.0\n },\n \"trade_offs\": [\n \"Area optimization may increase delay\",\n \"Aggressive sharing increases routing complexity\"\n ],\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 0.5,\n \"delay\": 20.0,\n \"power\": 0.001,\n \"gate_count\": 1,\n \"cell_breakdown\": {\n \"$_NOT_\": 1\n },\n \"wire_count\": 40,\n \"wire_bits\": 40,\n \"critical_path_estimate\": 20.0,\n...[1526 chars elided]...\n \"error\": null\n}", "category": "multi_tool", "subcategory": "cross_stage_mapper+optimization_advisor+synthesis_tool", "difficulty": "compositional", "question_hash": "f2b5b50498df", "stage1_target": "[{\"tool\": \"cross_stage_mapper\", \"parameters\": {}}, {\"tool\": \"optimization_advisor\", \"parameters\": {\"target_metric\": \"area\"}}, {\"tool\": \"synthesis_tool\", \"parameters\": {\"optimization_level\": \"medium\"}}]", "stage2_context": "Question: For sirv_jtaggpioport, does it make sense to run an area-targeted optimization flow? Please consider how completely the RTL signals line up with the synthesized netlist, how small the medium-effort synthesis result already is, and what area improvement the optimization would be expected to give.\n\n[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"io_jtag_DRV_TDO\": [\n \"io_jtag_DRV_TDO\"\n ],\n \"io_pins_TDO_o_pue\": [\n \"io_pins_TDO_o_pue\"\n ],\n \"io_pins_TCK_o_ie\": [\n \"io_pins_TCK_o_ie\"\n ],\n \"io_pins_TRST_n_o_pue\": [\n \"io_pins_TRST_n_o_pue\n...[1694 chars elided]...\nio_pins_TRST_n_o_ds\": [\n \"io_pins_TRST_n_o_ds\"\n ],\n \"io_pins_TDI_o_oe\": [\n \"io_pins_TDI_o_oe\"\n ],\n \"io_pins_TRST_n_i_ival\": [\n \"io_pins_TRST_n_i_ival\"\n ],\n \"io_pins_TMS_o_oval\": [\n \"io_pins_TMS_o_oval\"\n ],\n \"io_jtag_TCK\": [\n \"io_jtag_TCK\"\n ],\n \"io_jtag_TDO\": [\n \"io_jtag_TDO\"\n ]\n },\n \"alignment_score\": 100.0,\n \"unmapped_elements\": [],\n \"mapping_statistics\": {\n \"rtl_signals\": 40,\n \"netlist_wires\": 42,\n \"netlist_cells\": 0,\n \"mapped_signals\": 40,\n \"unmapped_signals\": 0\n },\n \"error\": null\n}\n\n[optimization_advisor {\"target_metric\": \"area\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"area\",\n \"recommended_recipes\": [\n \"synth -top sirv_jtaggpioport -flatten\",\n \"opt -full; share -aggressive; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean -purge\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"resource_sharing\",\n \"description\": \"Share arithmetic operators\",\n \"command\": \"share -aggressive\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": -15.0,\n \"delay\": 5.0,\n \"power\": -10.0\n },\n \"trade_offs\": [\n \"Area optimization may increase delay\",\n \"Aggressive sharing increases routing complexity\"\n ],\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 0.5,\n \"delay\": 20.0,\n \"power\": 0.001,\n \"gate_count\": 1,\n \"cell_breakdown\": {\n \"$_NOT_\": 1\n },\n \"wire_count\": 40,\n \"wire_bits\": 40,\n \"critical_path_estimate\": 20.0,\n...[1526 chars elided]...\n \"error\": null\n}", "plan_id": "de3c50c68b2d", "design_id": "894b3bb4f521", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 3, "ctx_cap": 3300, "source": {"repository": "https://github.com/riscv-mcu/e203_hbirdv2", "commit": "9f3e34f337f5d0a1236a285871ffa2032491617a", "path": "rtl/e203/perips/sirv_jtaggpioport.v", "sha256": "a9e64f06152c28426c04a7064651439b5bcce827ee7cb43ccd226b8673679d64"}} {"question": "For cal1d_fp16_pool_sum, how does the RTL structure (its assign statements and instantiated submodule) carry through to the medium-effort synthesized netlist in terms of cell composition and critical path delay, and does the RTL-to-netlist signal mapping confirm all signals were preserved?", "answer": "cal1d_fp16_pool_sum has 14 assign statements and instantiates HLS_fp17_add, and the synthesized netlist contains 4 HLS_fp17_add cells plus 36 $_AND_ gates (40 cells in total) with a critical path delay of 151.21. The signal mapping has an alignment score of 100.0, with all 24 RTL signals mapped and no unmapped elements.", "source_file": "github_repos/nvdla_hw/vmod/nvdla/pdp/cal1d_fp16_pool_sum.v", "module_name": "cal1d_fp16_pool_sum", "tool_name": "cross_stage_mapper+static_analyzer+synthesis_tool", "tool_parameters": [{}, {"analysis_type": "full"}, {"optimization_level": "medium"}], "tool_result": "[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"inp_b_0\": [\n \"inp_b_0\"\n ],\n \"out_z_1\": [\n \"out_z_1\"\n ],\n \"nvdla_op_gated_clk_fp16\": [\n \"nvdla_op_gated_clk_fp16\"\n ],\n \"inp_b_3\": [\n \"inp_b_3\"\n ],\n \"out_z_3\": [\n \"out_z_3\"\n ],\n...[495 chars elided]...\n_2\": [\n \"out_z_2\"\n ],\n \"inp_b_2\": [\n \"inp_b_2\"\n ],\n \"inp_out_prdy\": [\n \"inp_out_prdy\"\n ],\n \"inp_b_vld\": [\n \"inp_b_vld\"\n ],\n \"inp_in_prdy\": [\n \"inp_in_prdy\"\n ],\n \"inp_out_pvld\": [\n \"inp_out_pvld\"\n ],\n \"inp_a_3\": [\n \"inp_a_3\"\n ],\n \"inp_a_2\": [\n \"inp_a_2\"\n ]\n },\n \"alignment_score\": 100.0,\n \"unmapped_elements\": [],\n \"mapping_statistics\": {\n \"rtl_signals\": 24,\n \"netlist_wires\": 126,\n \"netlist_cells\": 0,\n \"mapped_signals\": 24,\n \"unmapped_signals\": 0\n },\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"cal1d_fp16_pool_sum\",\n \"port_count\": {\n \"inputs\": 12,\n \"outputs\": 6,\n \"inouts\": 0,\n \"total\": 18\n },\n \"signal_count\": {\n \"wires\": 6,\n \"regs\": 0,\n \"parameters\": 0,\n \"total\": 6\n },\n \"always_blocks\": 0,\n \"assign_statements\": 14,\n \"instantiations\": [\n \"HLS_fp17_add\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 111,\n \"total_lines\": 150,\n \"cyclomatic_complexity\": 2,\n \"nesting_depth\": 0,\n \"operator_count\": 566\n },\n \"lint_warnings\": [],\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 40.0,\n \"delay\": 151.21,\n \"power\": 0.04,\n \"gate_count\": 40,\n \"cell_breakdown\": {\n \"$_AND_\": 36,\n \"HLS_fp17_add\": 4\n },\n \"wire_count\": 46,\n \"wire_bits\": 256,\n \"critical_path_estimate\": 151.21,\n...[1556 chars elided]...\n \"error\": null\n}", "category": "multi_tool", "subcategory": "cross_stage_mapper+static_analyzer+synthesis_tool", "difficulty": "compositional", "question_hash": "1dfa35224e39", "stage1_target": "[{\"tool\": \"cross_stage_mapper\", \"parameters\": {}}, {\"tool\": \"static_analyzer\", \"parameters\": {\"analysis_type\": \"full\"}}, {\"tool\": \"synthesis_tool\", \"parameters\": {\"optimization_level\": \"medium\"}}]", "stage2_context": "Question: For cal1d_fp16_pool_sum, how does the RTL structure (its assign statements and instantiated submodule) carry through to the medium-effort synthesized netlist in terms of cell composition and critical path delay, and does the RTL-to-netlist signal mapping confirm all signals were preserved?\n\n[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"inp_b_0\": [\n \"inp_b_0\"\n ],\n \"out_z_1\": [\n \"out_z_1\"\n ],\n \"nvdla_op_gated_clk_fp16\": [\n \"nvdla_op_gated_clk_fp16\"\n ],\n \"inp_b_3\": [\n \"inp_b_3\"\n ],\n \"out_z_3\": [\n \"out_z_3\"\n ],\n...[495 chars elided]...\n_2\": [\n \"out_z_2\"\n ],\n \"inp_b_2\": [\n \"inp_b_2\"\n ],\n \"inp_out_prdy\": [\n \"inp_out_prdy\"\n ],\n \"inp_b_vld\": [\n \"inp_b_vld\"\n ],\n \"inp_in_prdy\": [\n \"inp_in_prdy\"\n ],\n \"inp_out_pvld\": [\n \"inp_out_pvld\"\n ],\n \"inp_a_3\": [\n \"inp_a_3\"\n ],\n \"inp_a_2\": [\n \"inp_a_2\"\n ]\n },\n \"alignment_score\": 100.0,\n \"unmapped_elements\": [],\n \"mapping_statistics\": {\n \"rtl_signals\": 24,\n \"netlist_wires\": 126,\n \"netlist_cells\": 0,\n \"mapped_signals\": 24,\n \"unmapped_signals\": 0\n },\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"cal1d_fp16_pool_sum\",\n \"port_count\": {\n \"inputs\": 12,\n \"outputs\": 6,\n \"inouts\": 0,\n \"total\": 18\n },\n \"signal_count\": {\n \"wires\": 6,\n \"regs\": 0,\n \"parameters\": 0,\n \"total\": 6\n },\n \"always_blocks\": 0,\n \"assign_statements\": 14,\n \"instantiations\": [\n \"HLS_fp17_add\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 111,\n \"total_lines\": 150,\n \"cyclomatic_complexity\": 2,\n \"nesting_depth\": 0,\n \"operator_count\": 566\n },\n \"lint_warnings\": [],\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 40.0,\n \"delay\": 151.21,\n \"power\": 0.04,\n \"gate_count\": 40,\n \"cell_breakdown\": {\n \"$_AND_\": 36,\n \"HLS_fp17_add\": 4\n },\n \"wire_count\": 46,\n \"wire_bits\": 256,\n \"critical_path_estimate\": 151.21,\n...[1556 chars elided]...\n \"error\": null\n}", "plan_id": "2fc92a37750e", "design_id": "8b318fc476d7", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 3, "ctx_cap": 3300, "source": {"repository": "https://github.com/nvdla/hw", "commit": "8e06b1b9d85aab65b40d43d08eec5ea4681ff715", "path": "vmod/nvdla/pdp/cal1d_fp16_pool_sum.v", "sha256": "7c5b25ac061590d62d0fcec93367cc2f9d336714c63f702f5dc0486b08cf7647"}} {"question": "For FP17_TO_FP32_mgc_in_wire_wait_v1, is the AIG structure (node and edge counts) consistent with how well the RTL signals map onto the gate-level netlist, and what does that tell us about whether the module has any real logic?", "answer": "Yes, the two views agree. The AIG for FP17_TO_FP32_mgc_in_wire_wait_v1 has only 6 port nodes (3 port_input and 3 port_output) and 0 edges, and the netlist likewise has 6 wires and 0 cells. With no cells, only 4 of the 88 RTL signals map to the netlist (alignment score 4.55, 84 unmapped), so the module is a pure pass-through: inputs such as ld, vz and z are wired straight to the outputs lz, vd and d with no gate logic in between.", "source_file": "github_repos/nvdla_hw/vmod/vlibs/HLS_fp17_to_fp32.v", "module_name": "FP17_TO_FP32_mgc_in_wire_wait_v1", "tool_name": "cross_stage_mapper+graph_extractor", "tool_parameters": [{}, {"graph_type": "AIG"}], "tool_result": "[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"chn_o_rsci_ogwt\": [],\n \"IsNaN_6U_23U_nor_tmp\": [],\n \"chn_o_rsc_vz\": [],\n \"chn_a_rsci_icwt\": [],\n \"fsm_output\": [],\n \"nvdla_core_clk\": [],\n \"or_tmp_18\": [],\n \"FpMantWidthInc_6U_10U_23U_0U_1U_o_mant_22_13_lpi_1_dfm\": [],\n \"chn_o_rsci_bawt\": [],\n \"chn_o_rsci_d_27_23\": [],\n \"chn_a_rsc_z\": [],\n \"chn_a_rsci_vd\": [],\n \"chn_a_rsc_lz\": [],\n \"re\n...[2018 chars elided]...\nsci_bdwt\": [],\n \"and_dcpl_7\": [],\n \"chn_o_rsci_biwt\": [],\n \"chn_a_rsci_wen_comp\": [],\n \"in_0\": [],\n \"and_dcpl_2\": [],\n \"chn_o_rsci_oswt_unreg\": []\n },\n \"alignment_score\": 4.55,\n \"unmapped_elements\": [\n \"chn_o_rsci_ogwt\",\n \"IsNaN_6U_23U_nor_tmp\",\n \"chn_o_rsc_vz\",\n \"chn_a_rsci_icwt\",\n \"fsm_output\",\n \"nvdla_core_clk\",\n \"or_tmp_18\",\n \"FpMantWidthInc_6U_10U_23U_0U_1U_o_mant_22_13_lpi_1_dfm\",\n \"chn_o_rsci_bawt\",\n \"chn_o_rsci_d_27_23\",\n \"chn_a_rsc_z\",\n \"chn_a_rsci_vd\",\n \"chn_a_rsc_lz\",\n \"reg_chn_o_rsci_iswt0_cse\",\n \"or_cse\",\n \"sel\",\n \"state_var_NS\",\n \"chn_o_rsci_ld_core_psct\",\n \"or_dcpl_3\",\n \"chn_o_rsci_d_9_0_mx0c1\"\n ],\n \"mapping_statistics\": {\n \"rtl_signals\": 88,\n \"netlist_wires\": 6,\n \"netlist_cells\": 0,\n \"mapped_signals\": 4,\n \"unmapped_signals\": 84\n },\n \"error\": null\n}\n\n[graph_extractor {\"graph_type\": \"AIG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"AIG\",\n \"node_count\": 6,\n \"edge_count\": 0,\n \"graph_properties\": {\n \"node_types\": {\n \"port_input\": 3,\n \"port_output\": 3\n },\n \"avg_degree\": 0.0,\n \"module_name\": \"FP17_TO_FP32_mgc_in_wire_wait_v1\"\n },\n \"error\": null\n}", "category": "multi_tool", "subcategory": "cross_stage_mapper+graph_extractor", "difficulty": "compositional", "question_hash": "a76acb9c562b", "stage1_target": "[{\"tool\": \"cross_stage_mapper\", \"parameters\": {}}, {\"tool\": \"graph_extractor\", \"parameters\": {\"graph_type\": \"AIG\"}}]", "stage2_context": "Question: For FP17_TO_FP32_mgc_in_wire_wait_v1, is the AIG structure (node and edge counts) consistent with how well the RTL signals map onto the gate-level netlist, and what does that tell us about whether the module has any real logic?\n\n[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"chn_o_rsci_ogwt\": [],\n \"IsNaN_6U_23U_nor_tmp\": [],\n \"chn_o_rsc_vz\": [],\n \"chn_a_rsci_icwt\": [],\n \"fsm_output\": [],\n \"nvdla_core_clk\": [],\n \"or_tmp_18\": [],\n \"FpMantWidthInc_6U_10U_23U_0U_1U_o_mant_22_13_lpi_1_dfm\": [],\n \"chn_o_rsci_bawt\": [],\n \"chn_o_rsci_d_27_23\": [],\n \"chn_a_rsc_z\": [],\n \"chn_a_rsci_vd\": [],\n \"chn_a_rsc_lz\": [],\n \"re\n...[2018 chars elided]...\nsci_bdwt\": [],\n \"and_dcpl_7\": [],\n \"chn_o_rsci_biwt\": [],\n \"chn_a_rsci_wen_comp\": [],\n \"in_0\": [],\n \"and_dcpl_2\": [],\n \"chn_o_rsci_oswt_unreg\": []\n },\n \"alignment_score\": 4.55,\n \"unmapped_elements\": [\n \"chn_o_rsci_ogwt\",\n \"IsNaN_6U_23U_nor_tmp\",\n \"chn_o_rsc_vz\",\n \"chn_a_rsci_icwt\",\n \"fsm_output\",\n \"nvdla_core_clk\",\n \"or_tmp_18\",\n \"FpMantWidthInc_6U_10U_23U_0U_1U_o_mant_22_13_lpi_1_dfm\",\n \"chn_o_rsci_bawt\",\n \"chn_o_rsci_d_27_23\",\n \"chn_a_rsc_z\",\n \"chn_a_rsci_vd\",\n \"chn_a_rsc_lz\",\n \"reg_chn_o_rsci_iswt0_cse\",\n \"or_cse\",\n \"sel\",\n \"state_var_NS\",\n \"chn_o_rsci_ld_core_psct\",\n \"or_dcpl_3\",\n \"chn_o_rsci_d_9_0_mx0c1\"\n ],\n \"mapping_statistics\": {\n \"rtl_signals\": 88,\n \"netlist_wires\": 6,\n \"netlist_cells\": 0,\n \"mapped_signals\": 4,\n \"unmapped_signals\": 84\n },\n \"error\": null\n}\n\n[graph_extractor {\"graph_type\": \"AIG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"AIG\",\n \"node_count\": 6,\n \"edge_count\": 0,\n \"graph_properties\": {\n \"node_types\": {\n \"port_input\": 3,\n \"port_output\": 3\n },\n \"avg_degree\": 0.0,\n \"module_name\": \"FP17_TO_FP32_mgc_in_wire_wait_v1\"\n },\n \"error\": null\n}", "plan_id": "13d48ceec2fe", "design_id": "8c17a8ce218b", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/nvdla/hw", "commit": "8e06b1b9d85aab65b40d43d08eec5ea4681ff715", "path": "vmod/vlibs/HLS_fp17_to_fp32.v", "sha256": "3abde28315619c2124f21b6073dfd03f5432cd9b66181832c341de29ea1bcd52"}} {"question": "Given its structural profile, is NV_NVDLA_MCIF_WRITE_IG_cvt a good candidate for an area-targeted optimization pass, and what area gain and timing cost should I expect?", "answer": "NV_NVDLA_MCIF_WRITE_IG_cvt is a large control-heavy module with 54 regs, 36 always blocks, 84 assign statements and a cyclomatic complexity of 98, so it has a lot of mux and shared logic to work with. That makes an area pass with 'share -aggressive' and 'muxcover; opt' a reasonable choice. The estimated area improvement is -15.0, but delay is expected to worsen by 5.0, and aggressive sharing also adds routing complexity.", "source_file": "github_repos/nvdla_hw/vmod/nvdla/nocif/NV_NVDLA_MCIF_WRITE_IG_cvt.v", "module_name": "NV_NVDLA_MCIF_WRITE_IG_cvt", "tool_name": "optimization_advisor+static_analyzer", "tool_parameters": [{"target_metric": "area"}, {"analysis_type": "full"}], "tool_result": "[optimization_advisor {\"target_metric\": \"area\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"area\",\n \"recommended_recipes\": [\n \"synth -top NV_NVDLA_MCIF_WRITE_IG_cvt -flatten\",\n \"opt -full; share -aggressive; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean -purge\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"mux_optimization\",\n \"description\": \"Share multiplexers where possible\",\n \"command\": \"muxcover; opt\"\n },\n {\n \"type\": \"resource_sharing\",\n \"description\": \"Share arithmetic operators\",\n \"command\": \"share -aggressive\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": -15.0,\n \"delay\": 5.0,\n \"power\": -10.0\n },\n \"trade_offs\": [\n \"Area optimization may increase delay\",\n \"Aggressive sharing increases routing complexity\"\n ],\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"NV_NVDLA_MCIF_WRITE_IG_cvt\",\n \"port_count\": {\n \"inputs\": 32,\n \"outputs\": 30,\n \"inouts\": 0,\n \"total\": 62\n },\n \"signal_count\": {\n \"wires\": 68,\n \"regs\": 54,\n \"parameters\": 0,\n \"total\": 122\n },\n \"always_blocks\": 36,\n \"assign_statements\": 84,\n \"instantiations\": [\n \"define\",\n \"NV_NVDLA_MCIF_WRITE_IG_CVT_pipe_p2\",\n \"NV_NVDLA_MCIF_WRITE_IG_CVT_pipe_p4\",\n \"NV_NVDLA_MCIF_WRITE_IG_CVT_pipe_p3\",\n \"bc\",\n \"NV_NVDLA_MCIF_WRITE_IG_CVT_pipe_p1\",\n \"is\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 893,\n \"total_lines\": 1427,\n \"cyclomatic_complexity\": 98,\n \"nesting_depth\": 64,\n \"operator_count\": 3643\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "category": "multi_tool", "subcategory": "optimization_advisor+static_analyzer", "difficulty": "compositional", "question_hash": "b6e7d1551d6d", "stage1_target": "[{\"tool\": \"optimization_advisor\", \"parameters\": {\"target_metric\": \"area\"}}, {\"tool\": \"static_analyzer\", \"parameters\": {\"analysis_type\": \"full\"}}]", "stage2_context": "Question: Given its structural profile, is NV_NVDLA_MCIF_WRITE_IG_cvt a good candidate for an area-targeted optimization pass, and what area gain and timing cost should I expect?\n\n[optimization_advisor {\"target_metric\": \"area\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"area\",\n \"recommended_recipes\": [\n \"synth -top NV_NVDLA_MCIF_WRITE_IG_cvt -flatten\",\n \"opt -full; share -aggressive; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean -purge\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"mux_optimization\",\n \"description\": \"Share multiplexers where possible\",\n \"command\": \"muxcover; opt\"\n },\n {\n \"type\": \"resource_sharing\",\n \"description\": \"Share arithmetic operators\",\n \"command\": \"share -aggressive\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": -15.0,\n \"delay\": 5.0,\n \"power\": -10.0\n },\n \"trade_offs\": [\n \"Area optimization may increase delay\",\n \"Aggressive sharing increases routing complexity\"\n ],\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"NV_NVDLA_MCIF_WRITE_IG_cvt\",\n \"port_count\": {\n \"inputs\": 32,\n \"outputs\": 30,\n \"inouts\": 0,\n \"total\": 62\n },\n \"signal_count\": {\n \"wires\": 68,\n \"regs\": 54,\n \"parameters\": 0,\n \"total\": 122\n },\n \"always_blocks\": 36,\n \"assign_statements\": 84,\n \"instantiations\": [\n \"define\",\n \"NV_NVDLA_MCIF_WRITE_IG_CVT_pipe_p2\",\n \"NV_NVDLA_MCIF_WRITE_IG_CVT_pipe_p4\",\n \"NV_NVDLA_MCIF_WRITE_IG_CVT_pipe_p3\",\n \"bc\",\n \"NV_NVDLA_MCIF_WRITE_IG_CVT_pipe_p1\",\n \"is\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 893,\n \"total_lines\": 1427,\n \"cyclomatic_complexity\": 98,\n \"nesting_depth\": 64,\n \"operator_count\": 3643\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "plan_id": "3774a411f525", "design_id": "8c57fb2e43d6", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/nvdla/hw", "commit": "8e06b1b9d85aab65b40d43d08eec5ea4681ff715", "path": "vmod/nvdla/nocif/NV_NVDLA_MCIF_WRITE_IG_cvt.v", "sha256": "200b955ce75f2d89faf936e138bc5b83bfb2cbefbfa1cec4bffdb56165e83698"}} {"question": "In servant_ecp5_clock_gen, the rst_reg signal is reported as unmapped when the RTL is matched to the netlist. Does the CDFG of the module show that the reset logic was actually removed, or does it still contain a register driving the reset output?", "answer": "In servant_ecp5_clock_gen, rst_reg is the only unmapped element and brings the alignment score down to 83.33, with 5 mapped signals and 1 unmapped. The reset logic was not removed, though: the CDFG has 7 nodes, including 1 $sdff and 1 $logic_not next to the pll node, so the register still exists under an auto-generated name ($auto$ff.cc:337:slice$7) and its Q output drives o_rst.", "source_file": "github_repos/olofk_serv/servant/servant_ecp5_clock_gen.v", "module_name": "servant_ecp5_clock_gen", "tool_name": "cross_stage_mapper+graph_extractor", "tool_parameters": [{}, {"graph_type": "CDFG"}], "tool_result": "[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"locked\": [\n \"locked\"\n ],\n \"o_rst\": [\n \"o_rst\"\n ],\n \"i_rst\": [\n \"i_rst\"\n ],\n \"o_clk\": [\n \"o_clk\"\n ],\n \"rst_reg\": [],\n \"i_clk\": [\n \"i_clk\"\n ]\n },\n \"alignment_score\": 83.33,\n \"unmapped_elements\": [\n \"rst_reg\"\n ],\n \"mapping_statistics\": {\n \"rtl_signals\": 6,\n \"netlist_wires\": 8,\n \"netlist_cells\": 0,\n \"mapped_signals\": 5,\n \"unmapped_signals\": 1\n },\n \"error\": null\n}\n\n[graph_extractor {\"graph_type\": \"CDFG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"CDFG\",\n...[1434 chars elided]...\n \"node_count\": 7,\n \"edge_count\": 11,\n \"graph_properties\": {\n \"node_types\": {\n \"$logic_not\": 1,\n \"$sdff\": 1,\n \"pll\": 1,\n \"port_input\": 2,\n \"port_output\": 2\n },\n \"avg_degree\": 1.57,\n \"module_name\": \"servant_ecp5_clock_gen\"\n },\n \"error\": null\n}", "category": "multi_tool", "subcategory": "cross_stage_mapper+graph_extractor", "difficulty": "compositional", "question_hash": "ba5dac2b6f66", "stage1_target": "[{\"tool\": \"cross_stage_mapper\", \"parameters\": {}}, {\"tool\": \"graph_extractor\", \"parameters\": {\"graph_type\": \"CDFG\"}}]", "stage2_context": "Question: In servant_ecp5_clock_gen, the rst_reg signal is reported as unmapped when the RTL is matched to the netlist. Does the CDFG of the module show that the reset logic was actually removed, or does it still contain a register driving the reset output?\n\n[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"locked\": [\n \"locked\"\n ],\n \"o_rst\": [\n \"o_rst\"\n ],\n \"i_rst\": [\n \"i_rst\"\n ],\n \"o_clk\": [\n \"o_clk\"\n ],\n \"rst_reg\": [],\n \"i_clk\": [\n \"i_clk\"\n ]\n },\n \"alignment_score\": 83.33,\n \"unmapped_elements\": [\n \"rst_reg\"\n ],\n \"mapping_statistics\": {\n \"rtl_signals\": 6,\n \"netlist_wires\": 8,\n \"netlist_cells\": 0,\n \"mapped_signals\": 5,\n \"unmapped_signals\": 1\n },\n \"error\": null\n}\n\n[graph_extractor {\"graph_type\": \"CDFG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"CDFG\",\n...[1434 chars elided]...\n \"node_count\": 7,\n \"edge_count\": 11,\n \"graph_properties\": {\n \"node_types\": {\n \"$logic_not\": 1,\n \"$sdff\": 1,\n \"pll\": 1,\n \"port_input\": 2,\n \"port_output\": 2\n },\n \"avg_degree\": 1.57,\n \"module_name\": \"servant_ecp5_clock_gen\"\n },\n \"error\": null\n}", "plan_id": "42a9e4c84f13", "design_id": "8d8ba53b6148", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/olofk/serv", "commit": "f200eb2ed7b69ac1c6b8eddd47654522aeee5ce8", "path": "servant/servant_ecp5_clock_gen.v", "sha256": "67e510653a8f4f5e9e31388e4c11fcd84d31746a206d307712235e8d5ba69f59"}} {"question": "For NV_NVDLA_SDP_nrdma, how well does the RTL line up with the synthesized netlist, how structurally complex is the top-level wrapper, and what area-focused optimization would you recommend along with its expected impact?", "answer": "NV_NVDLA_SDP_nrdma maps closely from RTL to netlist, with an alignment score of 98.25 and only 1 unmapped signal (layer_process) out of 57 RTL signals. The wrapper has 47 ports, a cyclomatic complexity of 7, and four submodule instantiations (eg, gate, ig, cq). For area, the recommended step is aggressive resource sharing ('share -aggressive'), which is estimated to change area by -15.0 and power by -10.0 but worsen delay by 5.0.", "source_file": "github_repos/nvdla_hw/vmod/nvdla/sdp/NV_NVDLA_SDP_nrdma.v", "module_name": "NV_NVDLA_SDP_nrdma", "tool_name": "cross_stage_mapper+optimization_advisor+static_analyzer", "tool_parameters": [{}, {"target_metric": "area"}, {"analysis_type": "full"}], "tool_result": "[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"reg2dp_height\": [\n \"reg2dp_height\"\n ],\n \"reg2dp_nrdma_data_mode\": [\n \"reg2dp_nrdma_data_mode\"\n ],\n \"dla_clk_ovr_on_sync\": [\n \"dla_clk_ovr_on_sync\"\n ],\n \"sdp_nrdma2dp_mul_pd\": [\n \"sdp_nrdma\n...[3005 chars elided]...\n,\n \"ig2cq_prdy\": [\n \"ig2cq_prdy\"\n ],\n \"cq2eg_prdy\": [\n \"cq2eg_prdy\"\n ],\n \"ig2cq_pvld\": [\n \"ig2cq_pvld\"\n ],\n \"sdp_nrdma2dp_alu_valid\": [\n \"sdp_nrdma2dp_alu_valid\"\n ],\n \"op_load\": [\n \"op_load\"\n ],\n \"sdp_nrdma2dp_mul_valid\": [\n \"sdp_nrdma2dp_mul_valid\"\n ]\n },\n \"alignment_score\": 98.25,\n \"unmapped_elements\": [\n \"layer_process\"\n ],\n \"mapping_statistics\": {\n \"rtl_signals\": 57,\n \"netlist_wires\": 67,\n \"netlist_cells\": 0,\n \"mapped_signals\": 56,\n \"unmapped_signals\": 1\n },\n \"error\": null\n}\n\n[optimization_advisor {\"target_metric\": \"area\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"area\",\n \"recommended_recipes\": [\n \"synth -top NV_NVDLA_SDP_nrdma -flatten\",\n \"opt -full; share -aggressive; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean -purge\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"resource_sharing\",\n \"description\": \"Share arithmetic operators\",\n \"command\": \"share -aggressive\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": -15.0,\n \"delay\": 5.0,\n \"power\": -10.0\n },\n \"trade_offs\": [\n \"Area optimization may increase delay\",\n \"Aggressive sharing increases routing complexity\"\n ],\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"NV_NVDLA_SDP_nrdma\",\n \"port_count\": {\n \"inputs\": 33,\n \"outputs\": 14,\n \"inouts\": 0,\n \"total\": 47\n },\n \"signal_count\": {\n \"wires\": 9,\n \"regs\": 1,\n \"parameters\": 0,\n \"total\": 10\n },\n \"always_blocks\": 1,\n \"assign_statements\": 2,\n \"instantiations\": [\n \"NV_NVDLA_SDP_NRDMA_eg\",\n \"NV_NVDLA_SDP_NRDMA_gate\",\n \"NV_NVDLA_SDP_NRDMA_ig\",\n \"NV_NVDLA_SDP_NRDMA_cq\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 205,\n \"total_lines\": 243,\n \"cyclomatic_complexity\": 7,\n \"nesting_depth\": 5,\n \"operator_count\": 763\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "category": "multi_tool", "subcategory": "cross_stage_mapper+optimization_advisor+static_analyzer", "difficulty": "compositional", "question_hash": "4b70ac483e05", "stage1_target": "[{\"tool\": \"cross_stage_mapper\", \"parameters\": {}}, {\"tool\": \"optimization_advisor\", \"parameters\": {\"target_metric\": \"area\"}}, {\"tool\": \"static_analyzer\", \"parameters\": {\"analysis_type\": \"full\"}}]", "stage2_context": "Question: For NV_NVDLA_SDP_nrdma, how well does the RTL line up with the synthesized netlist, how structurally complex is the top-level wrapper, and what area-focused optimization would you recommend along with its expected impact?\n\n[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"reg2dp_height\": [\n \"reg2dp_height\"\n ],\n \"reg2dp_nrdma_data_mode\": [\n \"reg2dp_nrdma_data_mode\"\n ],\n \"dla_clk_ovr_on_sync\": [\n \"dla_clk_ovr_on_sync\"\n ],\n \"sdp_nrdma2dp_mul_pd\": [\n \"sdp_nrdma\n...[3005 chars elided]...\n,\n \"ig2cq_prdy\": [\n \"ig2cq_prdy\"\n ],\n \"cq2eg_prdy\": [\n \"cq2eg_prdy\"\n ],\n \"ig2cq_pvld\": [\n \"ig2cq_pvld\"\n ],\n \"sdp_nrdma2dp_alu_valid\": [\n \"sdp_nrdma2dp_alu_valid\"\n ],\n \"op_load\": [\n \"op_load\"\n ],\n \"sdp_nrdma2dp_mul_valid\": [\n \"sdp_nrdma2dp_mul_valid\"\n ]\n },\n \"alignment_score\": 98.25,\n \"unmapped_elements\": [\n \"layer_process\"\n ],\n \"mapping_statistics\": {\n \"rtl_signals\": 57,\n \"netlist_wires\": 67,\n \"netlist_cells\": 0,\n \"mapped_signals\": 56,\n \"unmapped_signals\": 1\n },\n \"error\": null\n}\n\n[optimization_advisor {\"target_metric\": \"area\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"area\",\n \"recommended_recipes\": [\n \"synth -top NV_NVDLA_SDP_nrdma -flatten\",\n \"opt -full; share -aggressive; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean -purge\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"resource_sharing\",\n \"description\": \"Share arithmetic operators\",\n \"command\": \"share -aggressive\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": -15.0,\n \"delay\": 5.0,\n \"power\": -10.0\n },\n \"trade_offs\": [\n \"Area optimization may increase delay\",\n \"Aggressive sharing increases routing complexity\"\n ],\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"NV_NVDLA_SDP_nrdma\",\n \"port_count\": {\n \"inputs\": 33,\n \"outputs\": 14,\n \"inouts\": 0,\n \"total\": 47\n },\n \"signal_count\": {\n \"wires\": 9,\n \"regs\": 1,\n \"parameters\": 0,\n \"total\": 10\n },\n \"always_blocks\": 1,\n \"assign_statements\": 2,\n \"instantiations\": [\n \"NV_NVDLA_SDP_NRDMA_eg\",\n \"NV_NVDLA_SDP_NRDMA_gate\",\n \"NV_NVDLA_SDP_NRDMA_ig\",\n \"NV_NVDLA_SDP_NRDMA_cq\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 205,\n \"total_lines\": 243,\n \"cyclomatic_complexity\": 7,\n \"nesting_depth\": 5,\n \"operator_count\": 763\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "plan_id": "1ca8982e602f", "design_id": "8d6b0409d753", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 3, "ctx_cap": 3300, "source": {"repository": "https://github.com/nvdla/hw", "commit": "8e06b1b9d85aab65b40d43d08eec5ea4681ff715", "path": "vmod/nvdla/sdp/NV_NVDLA_SDP_nrdma.v", "sha256": "b3b00d4e863e962615ae7c6388196d4681a99dad06e87805db762d0faa8d46f5"}} {"question": "For NV_BLKBOX_SRC0_X, does the RTL-to-netlist mapping agree with the structure of the module's CDFG? Specifically, how many netlist cells did the mapping find, and how many edges does the CDFG have?", "answer": "Yes, they agree. For NV_BLKBOX_SRC0_X, the mapping matches the single RTL signal Y to netlist wire Y with an alignment score of 100.0 and 0 netlist cells. The CDFG matches this, with 1 node (the port_output Y), 0 edges and an avg_degree of 0.0, so the module is just an output port with no logic driving it inside the module.", "source_file": "github_repos/nvdla_hw/vmod/vlibs/NV_BLKBOX_SRC0_X.v", "module_name": "NV_BLKBOX_SRC0_X", "tool_name": "cross_stage_mapper+graph_extractor", "tool_parameters": [{}, {"graph_type": "CDFG"}], "tool_result": "[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"Y\": [\n \"Y\"\n ]\n },\n \"alignment_score\": 100.0,\n \"unmapped_elements\": [],\n \"mapping_statistics\": {\n \"rtl_signals\": 1,\n \"netlist_wires\": 1,\n \"netlist_cells\": 0,\n \"mapped_signals\": 1,\n \"unmapped_signals\": 0\n },\n \"error\": null\n}\n\n[graph_extractor {\"graph_type\": \"CDFG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"CDFG\",\n \"node_count\": 1,\n \"edge_count\": 0,\n \"graph_properties\": {\n \"node_types\": {\n \"port_output\": 1\n },\n \"avg_degree\": 0.0,\n \"module_name\": \"NV_BLKBOX_SRC0_X\"\n },\n \"error\": null\n}", "category": "multi_tool", "subcategory": "cross_stage_mapper+graph_extractor", "difficulty": "compositional", "question_hash": "6bd117d0ebed", "stage1_target": "[{\"tool\": \"cross_stage_mapper\", \"parameters\": {}}, {\"tool\": \"graph_extractor\", \"parameters\": {\"graph_type\": \"CDFG\"}}]", "stage2_context": "Question: For NV_BLKBOX_SRC0_X, does the RTL-to-netlist mapping agree with the structure of the module's CDFG? Specifically, how many netlist cells did the mapping find, and how many edges does the CDFG have?\n\n[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"Y\": [\n \"Y\"\n ]\n },\n \"alignment_score\": 100.0,\n \"unmapped_elements\": [],\n \"mapping_statistics\": {\n \"rtl_signals\": 1,\n \"netlist_wires\": 1,\n \"netlist_cells\": 0,\n \"mapped_signals\": 1,\n \"unmapped_signals\": 0\n },\n \"error\": null\n}\n\n[graph_extractor {\"graph_type\": \"CDFG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"CDFG\",\n \"node_count\": 1,\n \"edge_count\": 0,\n \"graph_properties\": {\n \"node_types\": {\n \"port_output\": 1\n },\n \"avg_degree\": 0.0,\n \"module_name\": \"NV_BLKBOX_SRC0_X\"\n },\n \"error\": null\n}", "plan_id": "1e5b0978e4fd", "design_id": "8e0f030b43c5", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/nvdla/hw", "commit": "8e06b1b9d85aab65b40d43d08eec5ea4681ff715", "path": "vmod/vlibs/NV_BLKBOX_SRC0_X.v", "sha256": "4ffd42b467eb78226528a384b6af69f48dca9a98cbb02c58b1ddf9216fa18355"}} {"question": "For NV_NVDLA_sdp, does the AIG graph's structure match the static code analysis in describing the module as a purely structural top-level wrapper? Compare the port and submodule counts from the two analyses, and explain how the graph's large edge count fits with the code's low control complexity.", "answer": "Yes, the two analyses agree that NV_NVDLA_sdp is a structural wrapper. The AIG graph has 91 nodes: 41 port_input, 46 port_output and one instance each of NV_NVDLA_SDP_core, NV_NVDLA_SDP_rdma, NV_NVDLA_SDP_reg and NV_NVDLA_SDP_wdma, which matches the code analysis's 41 inputs, 46 outputs and four instantiations. The graph's 13846 edges (average degree 152.15) come from bit-level wiring across 131 wires, while the code itself has 0 always blocks, nesting depth 0 and cyclomatic complexity 3, so it contains almost no logic of its own.", "source_file": "github_repos/nvdla_hw/vmod/nvdla/sdp/NV_NVDLA_sdp.v", "module_name": "NV_NVDLA_sdp", "tool_name": "graph_extractor+static_analyzer", "tool_parameters": [{"graph_type": "AIG"}, {"analysis_type": "full"}], "tool_result": "[graph_extractor {\"graph_type\": \"AIG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"AIG\",\n...[121353 chars elided]...\n \"node_count\": 91,\n \"edge_count\": 13846,\n \"graph_properties\": {\n \"node_types\": {\n \"NV_NVDLA_SDP_core\": 1,\n \"NV_NVDLA_SDP_rdma\": 1,\n \"NV_NVDLA_SDP_reg\": 1,\n \"NV_NVDLA_SDP_wdma\": 1,\n \"port_input\": 41,\n \"port_output\": 46\n },\n \"avg_degree\": 152.15,\n \"module_name\": \"NV_NVDLA_sdp\"\n },\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"NV_NVDLA_sdp\",\n \"port_count\": {\n \"inputs\": 41,\n \"outputs\": 46,\n \"inouts\": 0,\n \"total\": 87\n },\n \"signal_count\": {\n \"wires\": 131,\n \"regs\": 1,\n \"parameters\": 0,\n \"total\": 132\n },\n \"always_blocks\": 0,\n \"assign_statements\": 1,\n \"instantiations\": [\n \"NV_NVDLA_SDP_reg\",\n \"NV_NVDLA_SDP_core\",\n \"NV_NVDLA_SDP_wdma\",\n \"NV_NVDLA_SDP_rdma\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 690,\n \"total_lines\": 772,\n \"cyclomatic_complexity\": 3,\n \"nesting_depth\": 0,\n \"operator_count\": 2503\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "category": "multi_tool", "subcategory": "graph_extractor+static_analyzer", "difficulty": "compositional", "question_hash": "1b2c8d75b3f4", "stage1_target": "[{\"tool\": \"graph_extractor\", \"parameters\": {\"graph_type\": \"AIG\"}}, {\"tool\": \"static_analyzer\", \"parameters\": {\"analysis_type\": \"full\"}}]", "stage2_context": "Question: For NV_NVDLA_sdp, does the AIG graph's structure match the static code analysis in describing the module as a purely structural top-level wrapper? Compare the port and submodule counts from the two analyses, and explain how the graph's large edge count fits with the code's low control complexity.\n\n[graph_extractor {\"graph_type\": \"AIG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"AIG\",\n...[121353 chars elided]...\n \"node_count\": 91,\n \"edge_count\": 13846,\n \"graph_properties\": {\n \"node_types\": {\n \"NV_NVDLA_SDP_core\": 1,\n \"NV_NVDLA_SDP_rdma\": 1,\n \"NV_NVDLA_SDP_reg\": 1,\n \"NV_NVDLA_SDP_wdma\": 1,\n \"port_input\": 41,\n \"port_output\": 46\n },\n \"avg_degree\": 152.15,\n \"module_name\": \"NV_NVDLA_sdp\"\n },\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"NV_NVDLA_sdp\",\n \"port_count\": {\n \"inputs\": 41,\n \"outputs\": 46,\n \"inouts\": 0,\n \"total\": 87\n },\n \"signal_count\": {\n \"wires\": 131,\n \"regs\": 1,\n \"parameters\": 0,\n \"total\": 132\n },\n \"always_blocks\": 0,\n \"assign_statements\": 1,\n \"instantiations\": [\n \"NV_NVDLA_SDP_reg\",\n \"NV_NVDLA_SDP_core\",\n \"NV_NVDLA_SDP_wdma\",\n \"NV_NVDLA_SDP_rdma\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 690,\n \"total_lines\": 772,\n \"cyclomatic_complexity\": 3,\n \"nesting_depth\": 0,\n \"operator_count\": 2503\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "plan_id": "1c67bf8e53ff", "design_id": "8e89a7472d2c", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/nvdla/hw", "commit": "8e06b1b9d85aab65b40d43d08eec5ea4681ff715", "path": "vmod/nvdla/sdp/NV_NVDLA_sdp.v", "sha256": "28a0084f92eb7e1fabed2dd8838bbb273a65fcbd6af277f8a499f3c772780213"}} {"question": "For NV_NVDLA_sdp, how does the AIG view of the top-level structure compare with the medium-effort synthesis result? I'd like to know whether the top level is basically just a wrapper around its submodules, and how dense the interconnect is.", "answer": "The AIG of NV_NVDLA_sdp has 91 nodes: four submodule instances (core, rdma, reg and wdma), 41 input ports and 46 output ports, joined by 13846 edges at an average degree of 152.15. Medium-effort synthesis agrees, reporting a gate_count of 4 (one cell for each of those submodules) along with 218 wires carrying 10264 bits and a critical path estimate of 75.79. Together these show the top level is a pure structural wrapper whose cost is in its very wide interconnect, not in its own logic.", "source_file": "github_repos/nvdla_hw/vmod/nvdla/sdp/NV_NVDLA_sdp.v", "module_name": "NV_NVDLA_sdp", "tool_name": "graph_extractor+synthesis_tool", "tool_parameters": [{"graph_type": "AIG"}, {"optimization_level": "medium"}], "tool_result": "[graph_extractor {\"graph_type\": \"AIG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"AIG\",\n...[121353 chars elided]...\n \"node_count\": 91,\n \"edge_count\": 13846,\n \"graph_properties\": {\n \"node_types\": {\n \"NV_NVDLA_SDP_core\": 1,\n \"NV_NVDLA_SDP_rdma\": 1,\n \"NV_NVDLA_SDP_reg\": 1,\n \"NV_NVDLA_SDP_wdma\": 1,\n \"port_input\": 41,\n \"port_output\": 46\n },\n \"avg_degree\": 152.15,\n \"module_name\": \"NV_NVDLA_sdp\"\n },\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 4.0,\n \"delay\": 75.79,\n \"power\": 0.004,\n \"gate_count\": 4,\n \"cell_breakdown\": {\n \"NV_NVDLA_SDP_core\": 1,\n \"NV_NVDLA_SDP_rdma\": 1,\n \"NV_NVDLA_SDP_reg\": 1,\n \"NV_NVDLA_SDP_wdma\": 1\n },\n \"wire_count\": 218,\n \"wire_bits\": 10264,\n \"critical_path_estimate\": 75.79,\n...[1180 chars elided]...\n \"error\": null\n}", "category": "multi_tool", "subcategory": "graph_extractor+synthesis_tool", "difficulty": "compositional", "question_hash": "1ccefd22428e", "stage1_target": "[{\"tool\": \"graph_extractor\", \"parameters\": {\"graph_type\": \"AIG\"}}, {\"tool\": \"synthesis_tool\", \"parameters\": {\"optimization_level\": \"medium\"}}]", "stage2_context": "Question: For NV_NVDLA_sdp, how does the AIG view of the top-level structure compare with the medium-effort synthesis result? I'd like to know whether the top level is basically just a wrapper around its submodules, and how dense the interconnect is.\n\n[graph_extractor {\"graph_type\": \"AIG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"AIG\",\n...[121353 chars elided]...\n \"node_count\": 91,\n \"edge_count\": 13846,\n \"graph_properties\": {\n \"node_types\": {\n \"NV_NVDLA_SDP_core\": 1,\n \"NV_NVDLA_SDP_rdma\": 1,\n \"NV_NVDLA_SDP_reg\": 1,\n \"NV_NVDLA_SDP_wdma\": 1,\n \"port_input\": 41,\n \"port_output\": 46\n },\n \"avg_degree\": 152.15,\n \"module_name\": \"NV_NVDLA_sdp\"\n },\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 4.0,\n \"delay\": 75.79,\n \"power\": 0.004,\n \"gate_count\": 4,\n \"cell_breakdown\": {\n \"NV_NVDLA_SDP_core\": 1,\n \"NV_NVDLA_SDP_rdma\": 1,\n \"NV_NVDLA_SDP_reg\": 1,\n \"NV_NVDLA_SDP_wdma\": 1\n },\n \"wire_count\": 218,\n \"wire_bits\": 10264,\n \"critical_path_estimate\": 75.79,\n...[1180 chars elided]...\n \"error\": null\n}", "plan_id": "4d17eb4a418f", "design_id": "8e89a7472d2c", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/nvdla/hw", "commit": "8e06b1b9d85aab65b40d43d08eec5ea4681ff715", "path": "vmod/nvdla/sdp/NV_NVDLA_sdp.v", "sha256": "28a0084f92eb7e1fabed2dd8838bbb273a65fcbd6af277f8a499f3c772780213"}} {"question": "For oneHotClk_async_read_clock, does the RTL-to-netlist mapping account for every signal in the source code, and how does that compare with what the structural analysis says about the module's ports, wires, logic constructs and lint health?", "answer": "In oneHotClk_async_read_clock, all 3 RTL signals (one_hot_enable, enable_r, tp) map to the netlist with an alignment score of 100.0 and 0 netlist cells. That matches the structural view: 1 output port, 2 wires, 0 regs, 0 always blocks, a single assign statement, an NV_BLKBOX_SRC0 instantiation and no lint warnings.", "source_file": "github_repos/nvdla_hw/vmod/vlibs/oneHotClk_async_read_clock.v", "module_name": "oneHotClk_async_read_clock", "tool_name": "cross_stage_mapper+static_analyzer", "tool_parameters": [{}, {"analysis_type": "full"}], "tool_result": "[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"one_hot_enable\": [\n \"one_hot_enable\"\n ],\n \"enable_r\": [\n \"enable_r\"\n ],\n \"tp\": [\n \"tp\"\n ]\n },\n \"alignment_score\": 100.0,\n \"unmapped_elements\": [],\n \"mapping_statistics\": {\n \"rtl_signals\": 3,\n \"netlist_wires\": 8,\n \"netlist_cells\": 0,\n \"mapped_signals\": 3,\n \"unmapped_signals\": 0\n },\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"oneHotClk_async_read_clock\",\n \"port_count\": {\n \"inputs\": 0,\n \"outputs\": 1,\n \"inouts\": 0,\n \"total\": 1\n },\n \"signal_count\": {\n \"wires\": 2,\n \"regs\": 0,\n \"parameters\": 0,\n \"total\": 2\n },\n \"always_blocks\": 0,\n \"assign_statements\": 1,\n \"instantiations\": [\n \"NV_BLKBOX_SRC0\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 11,\n \"total_lines\": 38,\n \"cyclomatic_complexity\": 3,\n \"nesting_depth\": 1,\n \"operator_count\": 185\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "category": "multi_tool", "subcategory": "cross_stage_mapper+static_analyzer", "difficulty": "compositional", "question_hash": "85f2371400bf", "stage1_target": "[{\"tool\": \"cross_stage_mapper\", \"parameters\": {}}, {\"tool\": \"static_analyzer\", \"parameters\": {\"analysis_type\": \"full\"}}]", "stage2_context": "Question: For oneHotClk_async_read_clock, does the RTL-to-netlist mapping account for every signal in the source code, and how does that compare with what the structural analysis says about the module's ports, wires, logic constructs and lint health?\n\n[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"one_hot_enable\": [\n \"one_hot_enable\"\n ],\n \"enable_r\": [\n \"enable_r\"\n ],\n \"tp\": [\n \"tp\"\n ]\n },\n \"alignment_score\": 100.0,\n \"unmapped_elements\": [],\n \"mapping_statistics\": {\n \"rtl_signals\": 3,\n \"netlist_wires\": 8,\n \"netlist_cells\": 0,\n \"mapped_signals\": 3,\n \"unmapped_signals\": 0\n },\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"oneHotClk_async_read_clock\",\n \"port_count\": {\n \"inputs\": 0,\n \"outputs\": 1,\n \"inouts\": 0,\n \"total\": 1\n },\n \"signal_count\": {\n \"wires\": 2,\n \"regs\": 0,\n \"parameters\": 0,\n \"total\": 2\n },\n \"always_blocks\": 0,\n \"assign_statements\": 1,\n \"instantiations\": [\n \"NV_BLKBOX_SRC0\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 11,\n \"total_lines\": 38,\n \"cyclomatic_complexity\": 3,\n \"nesting_depth\": 1,\n \"operator_count\": 185\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "plan_id": "3ad083285c5c", "design_id": "8fd9516d3a2c", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/nvdla/hw", "commit": "8e06b1b9d85aab65b40d43d08eec5ea4681ff715", "path": "vmod/vlibs/oneHotClk_async_read_clock.v", "sha256": "2c901affebaf0e9cc6ae02700a6947e5f2c4e093367891c3b7b3068d6443f24b"}} {"question": "The CDFG of oneHotClk_async_read_clock seems to contain only a few logic gates and black-box sources. A power-targeted optimization pass recommends clock gating for registers and estimates a power improvement. Based on the graph's size and node types, is clock gating likely to deliver that improvement on this module, and what would it cost in area?", "answer": "The CDFG for oneHotClk_async_read_clock has only 6 nodes and 9 edges: 2 $logic_not, 1 $logic_or, 2 NV_BLKBOX_SRC0 and 1 port_output, with no register nodes. That means the suggested 'clockgate' step has no registers to gate here. The quoted -25.0 power improvement is therefore unlikely to happen, while the estimated 5.0 area overhead and the extra timing complexity would still apply.", "source_file": "github_repos/nvdla_hw/vmod/vlibs/oneHotClk_async_read_clock.v", "module_name": "oneHotClk_async_read_clock", "tool_name": "graph_extractor+optimization_advisor", "tool_parameters": [{"graph_type": "CDFG"}, {"target_metric": "power"}], "tool_result": "[graph_extractor {\"graph_type\": \"CDFG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"CDFG\",\n...[1867 chars elided]...\n \"node_count\": 6,\n \"edge_count\": 9,\n \"graph_properties\": {\n \"node_types\": {\n \"$logic_not\": 2,\n \"$logic_or\": 1,\n \"NV_BLKBOX_SRC0\": 2,\n \"port_output\": 1\n },\n \"avg_degree\": 1.5,\n \"module_name\": \"oneHotClk_async_read_clock\"\n },\n \"error\": null\n}\n\n[optimization_advisor {\"target_metric\": \"power\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"power\",\n \"recommended_recipes\": [\n \"synth -top oneHotClk_async_read_clock\",\n \"opt; share; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean; clockgate\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"clock_gating\",\n \"description\": \"Insert clock gating for registers\",\n \"command\": \"clockgate\"\n },\n {\n \"type\": \"operand_isolation\",\n \"description\": \"Isolate operands when not in use\",\n \"command\": \"Use enable signals for arithmetic\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": 5.0,\n \"delay\": 5.0,\n \"power\": -25.0\n },\n \"trade_offs\": [\n \"Power optimization may add area overhead\",\n \"Clock gating adds timing complexity\"\n ],\n \"error\": null\n}", "category": "multi_tool", "subcategory": "graph_extractor+optimization_advisor", "difficulty": "compositional", "question_hash": "2a439a04eeb1", "stage1_target": "[{\"tool\": \"graph_extractor\", \"parameters\": {\"graph_type\": \"CDFG\"}}, {\"tool\": \"optimization_advisor\", \"parameters\": {\"target_metric\": \"power\"}}]", "stage2_context": "Question: The CDFG of oneHotClk_async_read_clock seems to contain only a few logic gates and black-box sources. A power-targeted optimization pass recommends clock gating for registers and estimates a power improvement. Based on the graph's size and node types, is clock gating likely to deliver that improvement on this module, and what would it cost in area?\n\n[graph_extractor {\"graph_type\": \"CDFG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"CDFG\",\n...[1867 chars elided]...\n \"node_count\": 6,\n \"edge_count\": 9,\n \"graph_properties\": {\n \"node_types\": {\n \"$logic_not\": 2,\n \"$logic_or\": 1,\n \"NV_BLKBOX_SRC0\": 2,\n \"port_output\": 1\n },\n \"avg_degree\": 1.5,\n \"module_name\": \"oneHotClk_async_read_clock\"\n },\n \"error\": null\n}\n\n[optimization_advisor {\"target_metric\": \"power\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"power\",\n \"recommended_recipes\": [\n \"synth -top oneHotClk_async_read_clock\",\n \"opt; share; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean; clockgate\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"clock_gating\",\n \"description\": \"Insert clock gating for registers\",\n \"command\": \"clockgate\"\n },\n {\n \"type\": \"operand_isolation\",\n \"description\": \"Isolate operands when not in use\",\n \"command\": \"Use enable signals for arithmetic\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": 5.0,\n \"delay\": 5.0,\n \"power\": -25.0\n },\n \"trade_offs\": [\n \"Power optimization may add area overhead\",\n \"Clock gating adds timing complexity\"\n ],\n \"error\": null\n}", "plan_id": "06d3c9814d90", "design_id": "8fd9516d3a2c", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/nvdla/hw", "commit": "8e06b1b9d85aab65b40d43d08eec5ea4681ff715", "path": "vmod/vlibs/oneHotClk_async_read_clock.v", "sha256": "2c901affebaf0e9cc6ae02700a6947e5f2c4e093367891c3b7b3068d6443f24b"}} {"question": "For NV_NVDLA_apb2csb, two RTL signals (rd_trans_low and nvdla2csb_wr_complete) have no counterpart in the netlist. Given that, how much do you trust the RTL-to-netlist correspondence, and what area-targeted optimization flow would you recommend? What area, delay and power changes would you expect from that flow?", "answer": "NV_NVDLA_apb2csb's RTL-to-netlist alignment score is 90.48: 19 of 21 RTL signals map, and only rd_trans_low and nvdla2csb_wr_complete have no counterpart. That makes the correspondence fairly reliable for running the area-targeted flow, which flattens the design, applies 'share -aggressive' and ends with 'opt_clean -purge'. The expected changes are an area estimate of -15.0, power of -10.0 and delay of +5.0, so the cost is some extra delay.", "source_file": "github_repos/nvdla_hw/vmod/nvdla/apb2csb/NV_NVDLA_apb2csb.v", "module_name": "NV_NVDLA_apb2csb", "tool_name": "cross_stage_mapper+optimization_advisor", "tool_parameters": [{}, {"target_metric": "area"}], "tool_result": "[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"nvdla2csb_data\": [\n \"nvdla2csb_data\"\n ],\n \"wr_trans_vld\": [\n \"wr_trans_vld\"\n ],\n \"pwrite\": [\n \"pwrite\"\n ],\n \"paddr\": [\n \"paddr\"\n ],\n \"pready\": [\n \"pready\"\n ],\n \"rd_trans_vld\": [\n \"rd_trans_vld\"\n ],\n \"nvdla2csb_valid\": [\n \"nvdla2csb_valid\"\n ],\n \"pclk\": [\n \"pclk\"\n ],\n \"prstn\": [\n \"prstn\"\n ],\n \"csb2nvdla_valid\": [\n \"csb2nvdla_valid\"\n ],\n \"rd_trans_low\": [],\n \"nvdla2csb_wr_complete\": [],\n \"psel\": [\n \"psel\"\n ],\n \"csb2nvdla_wdat\": [\n \"csb2nvdla_wdat\"\n ],\n \"pwdata\": [\n \"pwdata\"\n ],\n \"csb2nvdla_addr\": [\n \"csb2nvdla_addr\"\n ],\n \"penable\": [\n \"penable\"\n ],\n \"prdata\": [\n \"prdata\"\n ],\n \"csb2nvdla_ready\": [\n \"csb2nvdla_ready\"\n ],\n \"csb2nvdla_nposted\": [\n \"csb2nvdla_nposted\"\n ],\n \"csb2nvdla_write\": [\n \"csb2nvdla_write\"\n ]\n },\n \"alignment_score\": 90.48,\n \"unmapped_elements\": [\n \"rd_trans_low\",\n \"nvdla2csb_wr_complete\"\n ],\n \"mapping_statistics\": {\n \"rtl_signals\": 21,\n \"netlist_wires\": 52,\n \"netlist_cells\": 0,\n \"mapped_signals\": 19,\n \"unmapped_signals\": 2\n },\n \"error\": null\n}\n\n[optimization_advisor {\"target_metric\": \"area\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"area\",\n \"recommended_recipes\": [\n \"synth -top NV_NVDLA_apb2csb -flatten\",\n \"opt -full; share -aggressive; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean -purge\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"resource_sharing\",\n \"description\": \"Share arithmetic operators\",\n \"command\": \"share -aggressive\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": -15.0,\n \"delay\": 5.0,\n \"power\": -10.0\n },\n \"trade_offs\": [\n \"Area optimization may increase delay\",\n \"Aggressive sharing increases routing complexity\"\n ],\n \"error\": null\n}", "category": "multi_tool", "subcategory": "cross_stage_mapper+optimization_advisor", "difficulty": "compositional", "question_hash": "1244d43baf13", "stage1_target": "[{\"tool\": \"cross_stage_mapper\", \"parameters\": {}}, {\"tool\": \"optimization_advisor\", \"parameters\": {\"target_metric\": \"area\"}}]", "stage2_context": "Question: For NV_NVDLA_apb2csb, two RTL signals (rd_trans_low and nvdla2csb_wr_complete) have no counterpart in the netlist. Given that, how much do you trust the RTL-to-netlist correspondence, and what area-targeted optimization flow would you recommend? What area, delay and power changes would you expect from that flow?\n\n[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"nvdla2csb_data\": [\n \"nvdla2csb_data\"\n ],\n \"wr_trans_vld\": [\n \"wr_trans_vld\"\n ],\n \"pwrite\": [\n \"pwrite\"\n ],\n \"paddr\": [\n \"paddr\"\n ],\n \"pready\": [\n \"pready\"\n ],\n \"rd_trans_vld\": [\n \"rd_trans_vld\"\n ],\n \"nvdla2csb_valid\": [\n \"nvdla2csb_valid\"\n ],\n \"pclk\": [\n \"pclk\"\n ],\n \"prstn\": [\n \"prstn\"\n ],\n \"csb2nvdla_valid\": [\n \"csb2nvdla_valid\"\n ],\n \"rd_trans_low\": [],\n \"nvdla2csb_wr_complete\": [],\n \"psel\": [\n \"psel\"\n ],\n \"csb2nvdla_wdat\": [\n \"csb2nvdla_wdat\"\n ],\n \"pwdata\": [\n \"pwdata\"\n ],\n \"csb2nvdla_addr\": [\n \"csb2nvdla_addr\"\n ],\n \"penable\": [\n \"penable\"\n ],\n \"prdata\": [\n \"prdata\"\n ],\n \"csb2nvdla_ready\": [\n \"csb2nvdla_ready\"\n ],\n \"csb2nvdla_nposted\": [\n \"csb2nvdla_nposted\"\n ],\n \"csb2nvdla_write\": [\n \"csb2nvdla_write\"\n ]\n },\n \"alignment_score\": 90.48,\n \"unmapped_elements\": [\n \"rd_trans_low\",\n \"nvdla2csb_wr_complete\"\n ],\n \"mapping_statistics\": {\n \"rtl_signals\": 21,\n \"netlist_wires\": 52,\n \"netlist_cells\": 0,\n \"mapped_signals\": 19,\n \"unmapped_signals\": 2\n },\n \"error\": null\n}\n\n[optimization_advisor {\"target_metric\": \"area\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"area\",\n \"recommended_recipes\": [\n \"synth -top NV_NVDLA_apb2csb -flatten\",\n \"opt -full; share -aggressive; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean -purge\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"resource_sharing\",\n \"description\": \"Share arithmetic operators\",\n \"command\": \"share -aggressive\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": -15.0,\n \"delay\": 5.0,\n \"power\": -10.0\n },\n \"trade_offs\": [\n \"Area optimization may increase delay\",\n \"Aggressive sharing increases routing complexity\"\n ],\n \"error\": null\n}", "plan_id": "0961ae58d670", "design_id": "90f12a786f6f", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/nvdla/hw", "commit": "8e06b1b9d85aab65b40d43d08eec5ea4681ff715", "path": "vmod/nvdla/apb2csb/NV_NVDLA_apb2csb.v", "sha256": "7b82c8b364ce06b451d2893f9271f67006513daae46ef7fcc1fd473a1abf0e3d"}} {"question": "For NV_NVDLA_CVIF_csb, how does the register-heavy structure in the CDFG (its count of enable and async-reset flip-flop nodes) compare with the synthesized cell mix at medium optimization, and how do the area and delay figures come out?", "answer": "The CDFG of NV_NVDLA_CVIF_csb has 44 nodes, including 2 $dffe and 2 $adff word-level registers, plus 25 output ports. After medium-optimization synthesis these expand into 78 $_DFFE_PP_ and 2 $_DFF_PN0_ bit-level flops among 162 total cells, with 79 $_AND_ gates. The result is an area of 473.5 and a delay of 472.88.", "source_file": "github_repos/nvdla_hw/vmod/nvdla/nocif/NV_NVDLA_CVIF_csb.v", "module_name": "NV_NVDLA_CVIF_csb", "tool_name": "graph_extractor+synthesis_tool", "tool_parameters": [{"graph_type": "CDFG"}, {"optimization_level": "medium"}], "tool_result": "[graph_extractor {\"graph_type\": \"CDFG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"CDFG\",\n...[31778 chars elided]...\n \"node_count\": 44,\n \"edge_count\": 964,\n \"graph_properties\": {\n \"node_types\": {\n \"$and\": 5,\n \"$not\": 1,\n \"$or\": 1,\n \"$dffe\": 2,\n \"$adff\": 2,\n \"$mux\": 2,\n \"NV_NVDLA_CVIF_CSB_reg\": 1,\n \"port_input\": 5,\n \"port_output\": 25\n },\n \"avg_degree\": 21.91,\n \"module_name\": \"NV_NVDLA_CVIF_csb\"\n },\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 473.5,\n \"delay\": 472.88,\n \"power\": 0.162,\n \"gate_count\": 162,\n \"cell_breakdown\": {\n \"$_AND_\": 79,\n \"$_DFFE_PP_\": 78,\n \"$_DFF_PN0_\": 2,\n \"$_NOT_\": 1,\n \"$_OR_\": 1,\n \"NV_NVDLA_CVIF_CSB_reg\": 1\n },\n \"wire_count\": 55,\n \"wire_bits\": 748,\n \"critical_path_estimate\": 472.88,\n...[1209 chars elided]...\n \"error\": null\n}", "category": "multi_tool", "subcategory": "graph_extractor+synthesis_tool", "difficulty": "compositional", "question_hash": "2093bfeef875", "stage1_target": "[{\"tool\": \"graph_extractor\", \"parameters\": {\"graph_type\": \"CDFG\"}}, {\"tool\": \"synthesis_tool\", \"parameters\": {\"optimization_level\": \"medium\"}}]", "stage2_context": "Question: For NV_NVDLA_CVIF_csb, how does the register-heavy structure in the CDFG (its count of enable and async-reset flip-flop nodes) compare with the synthesized cell mix at medium optimization, and how do the area and delay figures come out?\n\n[graph_extractor {\"graph_type\": \"CDFG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"CDFG\",\n...[31778 chars elided]...\n \"node_count\": 44,\n \"edge_count\": 964,\n \"graph_properties\": {\n \"node_types\": {\n \"$and\": 5,\n \"$not\": 1,\n \"$or\": 1,\n \"$dffe\": 2,\n \"$adff\": 2,\n \"$mux\": 2,\n \"NV_NVDLA_CVIF_CSB_reg\": 1,\n \"port_input\": 5,\n \"port_output\": 25\n },\n \"avg_degree\": 21.91,\n \"module_name\": \"NV_NVDLA_CVIF_csb\"\n },\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 473.5,\n \"delay\": 472.88,\n \"power\": 0.162,\n \"gate_count\": 162,\n \"cell_breakdown\": {\n \"$_AND_\": 79,\n \"$_DFFE_PP_\": 78,\n \"$_DFF_PN0_\": 2,\n \"$_NOT_\": 1,\n \"$_OR_\": 1,\n \"NV_NVDLA_CVIF_CSB_reg\": 1\n },\n \"wire_count\": 55,\n \"wire_bits\": 748,\n \"critical_path_estimate\": 472.88,\n...[1209 chars elided]...\n \"error\": null\n}", "plan_id": "4492493dc979", "design_id": "919fe54cc775", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/nvdla/hw", "commit": "8e06b1b9d85aab65b40d43d08eec5ea4681ff715", "path": "vmod/nvdla/nocif/NV_NVDLA_CVIF_csb.v", "sha256": "646fc0ebaf5234675b9a264e29d25cea8624be3f7bb966712d76c80f47f6ad5c"}} {"question": "For NV_NVDLA_CVIF_csb, how well do the RTL signals map onto the netlist, which signals fail to map, and how does that line up with the module's port and register counts and the submodule it instantiates?", "answer": "NV_NVDLA_CVIF_csb has an alignment score of 92.59, with 50 of 54 RTL signals mapped; the 4 unmapped ones are req_vld, cvif2csb_resp_valid, u_reg and cvif2csb_resp_pd. The module has 5 inputs, 25 outputs and 5 regs, and it instantiates NV_NVDLA_CVIF_CSB_reg, which matches the unmapped u_reg instance, so that instance is probably flattened or absorbed into the netlist rather than missing.", "source_file": "github_repos/nvdla_hw/vmod/nvdla/nocif/NV_NVDLA_CVIF_csb.v", "module_name": "NV_NVDLA_CVIF_csb", "tool_name": "cross_stage_mapper+static_analyzer", "tool_parameters": [{}, {"analysis_type": "full"}], "tool_result": "[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"rsp_rd_vld\": [\n \"rsp_rd_vld\"\n ],\n \"req_vld\": [],\n \"csb2cvif_req_pd\": [\n \"csb2cvif_req_pd\"\n ],\n \"reg2dp_wr_weight_rsv_2\": [\n \"reg2dp_wr_weight_rsv_2\"\n ],\n \"reg2dp_rd_weight_sdp_n\": [\n \"reg2dp_rd_weight_sdp_n\"\n ],\n \"csb2cvif_req_pvld\": [\n \"csb2cvif_req_pvld\"\n ],\n \"reg2dp_rd_weight_sdp_b\": [\n \"reg2dp_rd_weight_sdp_\n...[2088 chars elided]...\n[\n \"req_wrbe_NC\"\n ],\n \"reg2dp_wr_weight_rsv_1\": [\n \"reg2dp_wr_weight_rsv_1\"\n ],\n \"rsp_wr_pd\": [\n \"rsp_wr_pd\"\n ],\n \"reg2dp_wr_weight_rbk\": [\n \"reg2dp_wr_weight_rbk\"\n ],\n \"req_nposted\": [\n \"req_nposted\"\n ],\n \"cvif2csb_resp_pd\": [],\n \"reg2dp_rd_weight_bdma\": [\n \"reg2dp_rd_weight_bdma\"\n ],\n \"reg2dp_wr_weight_bdma\": [\n \"reg2dp_wr_weight_bdma\"\n ],\n \"reg_wr_en\": [\n \"reg_wr_en\"\n ],\n \"reg_offset\": [\n \"reg_offset\"\n ],\n \"rsp_rd_error\": [\n \"rsp_rd_error\"\n ]\n },\n \"alignment_score\": 92.59,\n \"unmapped_elements\": [\n \"req_vld\",\n \"cvif2csb_resp_valid\",\n \"u_reg\",\n \"cvif2csb_resp_pd\"\n ],\n \"mapping_statistics\": {\n \"rtl_signals\": 54,\n \"netlist_wires\": 258,\n \"netlist_cells\": 0,\n \"mapped_signals\": 50,\n \"unmapped_signals\": 4\n },\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"NV_NVDLA_CVIF_csb\",\n \"port_count\": {\n \"inputs\": 5,\n \"outputs\": 25,\n \"inouts\": 0,\n \"total\": 30\n },\n \"signal_count\": {\n \"wires\": 21,\n \"regs\": 5,\n \"parameters\": 0,\n \"total\": 26\n },\n \"always_blocks\": 4,\n \"assign_statements\": 24,\n \"instantiations\": [\n \"NV_NVDLA_CVIF_CSB_reg\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 175,\n \"total_lines\": 241,\n \"cyclomatic_complexity\": 16,\n \"nesting_depth\": 14,\n \"operator_count\": 587\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "category": "multi_tool", "subcategory": "cross_stage_mapper+static_analyzer", "difficulty": "compositional", "question_hash": "a389501913dc", "stage1_target": "[{\"tool\": \"cross_stage_mapper\", \"parameters\": {}}, {\"tool\": \"static_analyzer\", \"parameters\": {\"analysis_type\": \"full\"}}]", "stage2_context": "Question: For NV_NVDLA_CVIF_csb, how well do the RTL signals map onto the netlist, which signals fail to map, and how does that line up with the module's port and register counts and the submodule it instantiates?\n\n[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"rsp_rd_vld\": [\n \"rsp_rd_vld\"\n ],\n \"req_vld\": [],\n \"csb2cvif_req_pd\": [\n \"csb2cvif_req_pd\"\n ],\n \"reg2dp_wr_weight_rsv_2\": [\n \"reg2dp_wr_weight_rsv_2\"\n ],\n \"reg2dp_rd_weight_sdp_n\": [\n \"reg2dp_rd_weight_sdp_n\"\n ],\n \"csb2cvif_req_pvld\": [\n \"csb2cvif_req_pvld\"\n ],\n \"reg2dp_rd_weight_sdp_b\": [\n \"reg2dp_rd_weight_sdp_\n...[2088 chars elided]...\n[\n \"req_wrbe_NC\"\n ],\n \"reg2dp_wr_weight_rsv_1\": [\n \"reg2dp_wr_weight_rsv_1\"\n ],\n \"rsp_wr_pd\": [\n \"rsp_wr_pd\"\n ],\n \"reg2dp_wr_weight_rbk\": [\n \"reg2dp_wr_weight_rbk\"\n ],\n \"req_nposted\": [\n \"req_nposted\"\n ],\n \"cvif2csb_resp_pd\": [],\n \"reg2dp_rd_weight_bdma\": [\n \"reg2dp_rd_weight_bdma\"\n ],\n \"reg2dp_wr_weight_bdma\": [\n \"reg2dp_wr_weight_bdma\"\n ],\n \"reg_wr_en\": [\n \"reg_wr_en\"\n ],\n \"reg_offset\": [\n \"reg_offset\"\n ],\n \"rsp_rd_error\": [\n \"rsp_rd_error\"\n ]\n },\n \"alignment_score\": 92.59,\n \"unmapped_elements\": [\n \"req_vld\",\n \"cvif2csb_resp_valid\",\n \"u_reg\",\n \"cvif2csb_resp_pd\"\n ],\n \"mapping_statistics\": {\n \"rtl_signals\": 54,\n \"netlist_wires\": 258,\n \"netlist_cells\": 0,\n \"mapped_signals\": 50,\n \"unmapped_signals\": 4\n },\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"NV_NVDLA_CVIF_csb\",\n \"port_count\": {\n \"inputs\": 5,\n \"outputs\": 25,\n \"inouts\": 0,\n \"total\": 30\n },\n \"signal_count\": {\n \"wires\": 21,\n \"regs\": 5,\n \"parameters\": 0,\n \"total\": 26\n },\n \"always_blocks\": 4,\n \"assign_statements\": 24,\n \"instantiations\": [\n \"NV_NVDLA_CVIF_CSB_reg\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 175,\n \"total_lines\": 241,\n \"cyclomatic_complexity\": 16,\n \"nesting_depth\": 14,\n \"operator_count\": 587\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "plan_id": "77c84b8e7c23", "design_id": "919fe54cc775", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/nvdla/hw", "commit": "8e06b1b9d85aab65b40d43d08eec5ea4681ff715", "path": "vmod/nvdla/nocif/NV_NVDLA_CVIF_csb.v", "sha256": "646fc0ebaf5234675b9a264e29d25cea8624be3f7bb966712d76c80f47f6ad5c"}} {"question": "For NV_NVDLA_CSC_single_reg, how well do the RTL register signals line up with the synthesized netlist, how many register elements show up in the CDFG compared to the flip-flops left after medium-effort synthesis, and what area and delay does that synthesized result have?", "answer": "NV_NVDLA_CSC_single_reg has an RTL-to-netlist alignment score of 75.0, with 15 signals mapped and 5 unmapped, including nvdla_csc_s_status_0_wren and producer. Its CDFG has 15 nodes and 176 edges but only 1 $adffe register, which matches the single $_DFFE_PN0P_ flip-flop left after synthesis. That synthesized design uses 22 gates for an area of 23.0 and a delay of 116.04.", "source_file": "github_repos/nvdla_hw/vmod/nvdla/csc/NV_NVDLA_CSC_single_reg.v", "module_name": "NV_NVDLA_CSC_single_reg", "tool_name": "cross_stage_mapper+graph_extractor+synthesis_tool", "tool_parameters": [{}, {"graph_type": "CDFG"}, {"optimization_level": "medium"}], "tool_result": "[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"arreggen_dump\": [],\n \"wr\": [\n \"nvdla_csc_s_pointer_0_wren\",\n \"reg_offset_wr\",\n \"reg_wr_en\",\n \"reg_wr_data\"\n ],\n \"nvdla_csc_s_pointer_0_wren\": [\n \"nvdla_csc_s_pointer_0_wren\"\n ],\n \"nvdla_\n...[683 chars elided]...\n \"reg_offset_rd_int\"\n ],\n \"reg_wr_en\": [\n \"reg_wr_en\"\n ],\n \"nvdla_csc_s_status_0_wren\": [],\n \"reg_offset\": [\n \"reg_offset\",\n \"reg_offset_wr\",\n \"reg_offset_rd_int\"\n ]\n },\n \"alignment_score\": 75.0,\n \"unmapped_elements\": [\n \"arreggen_dump\",\n \"arreggen_abort_on_rowr\",\n \"arreggen_abort_on_invalid_wr\",\n \"producer\",\n \"nvdla_csc_s_status_0_wren\"\n ],\n \"mapping_statistics\": {\n \"rtl_signals\": 20,\n \"netlist_wires\": 191,\n \"netlist_cells\": 0,\n \"mapped_signals\": 15,\n \"unmapped_signals\": 5\n },\n \"error\": null\n}\n\n[graph_extractor {\"graph_type\": \"CDFG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"CDFG\",\n...[18694 chars elided]...\n \"node_count\": 15,\n \"edge_count\": 176,\n \"graph_properties\": {\n \"node_types\": {\n \"$and\": 1,\n \"$adffe\": 1,\n \"$pmux\": 1,\n \"$logic_not\": 1,\n \"$eq\": 1,\n \"port_output\": 2,\n \"port_input\": 8\n },\n \"avg_degree\": 11.73,\n \"module_name\": \"NV_NVDLA_CSC_single_reg\"\n },\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 23.0,\n \"delay\": 116.04,\n \"power\": 0.022,\n \"gate_count\": 22,\n \"cell_breakdown\": {\n \"$_ANDNOT_\": 2,\n \"$_AND_\": 8,\n \"$_DFFE_PN0P_\": 1,\n \"$_NAND_\": 6,\n \"$_NOR_\": 5\n },\n \"wire_count\": 31,\n \"wire_bits\": 210,\n \"critical_path_estimate\":\n...[1621 chars elided]...\n \"error\": null\n}", "category": "multi_tool", "subcategory": "cross_stage_mapper+graph_extractor+synthesis_tool", "difficulty": "compositional", "question_hash": "552fa3400077", "stage1_target": "[{\"tool\": \"cross_stage_mapper\", \"parameters\": {}}, {\"tool\": \"graph_extractor\", \"parameters\": {\"graph_type\": \"CDFG\"}}, {\"tool\": \"synthesis_tool\", \"parameters\": {\"optimization_level\": \"medium\"}}]", "stage2_context": "Question: For NV_NVDLA_CSC_single_reg, how well do the RTL register signals line up with the synthesized netlist, how many register elements show up in the CDFG compared to the flip-flops left after medium-effort synthesis, and what area and delay does that synthesized result have?\n\n[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"arreggen_dump\": [],\n \"wr\": [\n \"nvdla_csc_s_pointer_0_wren\",\n \"reg_offset_wr\",\n \"reg_wr_en\",\n \"reg_wr_data\"\n ],\n \"nvdla_csc_s_pointer_0_wren\": [\n \"nvdla_csc_s_pointer_0_wren\"\n ],\n \"nvdla_\n...[683 chars elided]...\n \"reg_offset_rd_int\"\n ],\n \"reg_wr_en\": [\n \"reg_wr_en\"\n ],\n \"nvdla_csc_s_status_0_wren\": [],\n \"reg_offset\": [\n \"reg_offset\",\n \"reg_offset_wr\",\n \"reg_offset_rd_int\"\n ]\n },\n \"alignment_score\": 75.0,\n \"unmapped_elements\": [\n \"arreggen_dump\",\n \"arreggen_abort_on_rowr\",\n \"arreggen_abort_on_invalid_wr\",\n \"producer\",\n \"nvdla_csc_s_status_0_wren\"\n ],\n \"mapping_statistics\": {\n \"rtl_signals\": 20,\n \"netlist_wires\": 191,\n \"netlist_cells\": 0,\n \"mapped_signals\": 15,\n \"unmapped_signals\": 5\n },\n \"error\": null\n}\n\n[graph_extractor {\"graph_type\": \"CDFG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"CDFG\",\n...[18694 chars elided]...\n \"node_count\": 15,\n \"edge_count\": 176,\n \"graph_properties\": {\n \"node_types\": {\n \"$and\": 1,\n \"$adffe\": 1,\n \"$pmux\": 1,\n \"$logic_not\": 1,\n \"$eq\": 1,\n \"port_output\": 2,\n \"port_input\": 8\n },\n \"avg_degree\": 11.73,\n \"module_name\": \"NV_NVDLA_CSC_single_reg\"\n },\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 23.0,\n \"delay\": 116.04,\n \"power\": 0.022,\n \"gate_count\": 22,\n \"cell_breakdown\": {\n \"$_ANDNOT_\": 2,\n \"$_AND_\": 8,\n \"$_DFFE_PN0P_\": 1,\n \"$_NAND_\": 6,\n \"$_NOR_\": 5\n },\n \"wire_count\": 31,\n \"wire_bits\": 210,\n \"critical_path_estimate\":\n...[1621 chars elided]...\n \"error\": null\n}", "plan_id": "2bde9ff08e28", "design_id": "92dfd8888172", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 3, "ctx_cap": 3300, "source": {"repository": "https://github.com/nvdla/hw", "commit": "8e06b1b9d85aab65b40d43d08eec5ea4681ff715", "path": "vmod/nvdla/csc/NV_NVDLA_CSC_single_reg.v", "sha256": "06876d139f422ed8022469c9667020851d9204d47b180ea3cbbaecfd7751d86f"}} {"question": "For NV_NVDLA_CMAC_CORE_rt_out, how do the register-type cells in the CDFG compare with the number of regs found in the source code, and what does that suggest given how complex the code is?", "answer": "The CDFG for NV_NVDLA_CMAC_CORE_rt_out contains 2 $adffe, 33 $dffe and 7 $adff flip-flop cells next to 35 $mux nodes, while the source code declares 44 regs across 50 always blocks. That means the code is mostly registers and muxes, and with a cyclomatic complexity of 241 over 672 lines of code, it looks like a wide, mux-heavy retiming pipeline rather than complex control logic.", "source_file": "github_repos/nvdla_hw/vmod/nvdla/cmac/NV_NVDLA_CMAC_CORE_rt_out.v", "module_name": "NV_NVDLA_CMAC_CORE_rt_out", "tool_name": "graph_extractor+static_analyzer", "tool_parameters": [{"graph_type": "CDFG"}, {"analysis_type": "full"}], "tool_result": "[graph_extractor {\"graph_type\": \"CDFG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"CDFG\",\n...[69833 chars elided]...\n \"node_count\": 116,\n \"edge_count\": 7309,\n \"graph_properties\": {\n \"node_types\": {\n \"$and\": 10,\n \"$adffe\": 2,\n \"$dffe\": 33,\n \"$adff\": 7,\n \"$mux\": 35,\n \"port_input\": 16,\n \"port_output\": 13\n },\n \"avg_degree\": 63.01,\n \"module_name\": \"NV_NVDLA_CMAC_CORE_rt_out\"\n },\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"NV_NVDLA_CMAC_CORE_rt_out\",\n \"port_count\": {\n \"inputs\": 16,\n \"outputs\": 13,\n \"inouts\": 0,\n \"total\": 29\n },\n \"signal_count\": {\n \"wires\": 2,\n \"regs\": 44,\n \"parameters\": 0,\n \"total\": 46\n },\n \"always_blocks\": 50,\n \"assign_statements\": 3,\n \"instantiations\": [\n \"define\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 672,\n \"total_lines\": 947,\n \"cyclomatic_complexity\": 241,\n \"nesting_depth\": 188,\n \"operator_count\": 1730\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "category": "multi_tool", "subcategory": "graph_extractor+static_analyzer", "difficulty": "compositional", "question_hash": "124c3b47c109", "stage1_target": "[{\"tool\": \"graph_extractor\", \"parameters\": {\"graph_type\": \"CDFG\"}}, {\"tool\": \"static_analyzer\", \"parameters\": {\"analysis_type\": \"full\"}}]", "stage2_context": "Question: For NV_NVDLA_CMAC_CORE_rt_out, how do the register-type cells in the CDFG compare with the number of regs found in the source code, and what does that suggest given how complex the code is?\n\n[graph_extractor {\"graph_type\": \"CDFG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"CDFG\",\n...[69833 chars elided]...\n \"node_count\": 116,\n \"edge_count\": 7309,\n \"graph_properties\": {\n \"node_types\": {\n \"$and\": 10,\n \"$adffe\": 2,\n \"$dffe\": 33,\n \"$adff\": 7,\n \"$mux\": 35,\n \"port_input\": 16,\n \"port_output\": 13\n },\n \"avg_degree\": 63.01,\n \"module_name\": \"NV_NVDLA_CMAC_CORE_rt_out\"\n },\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"NV_NVDLA_CMAC_CORE_rt_out\",\n \"port_count\": {\n \"inputs\": 16,\n \"outputs\": 13,\n \"inouts\": 0,\n \"total\": 29\n },\n \"signal_count\": {\n \"wires\": 2,\n \"regs\": 44,\n \"parameters\": 0,\n \"total\": 46\n },\n \"always_blocks\": 50,\n \"assign_statements\": 3,\n \"instantiations\": [\n \"define\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 672,\n \"total_lines\": 947,\n \"cyclomatic_complexity\": 241,\n \"nesting_depth\": 188,\n \"operator_count\": 1730\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "plan_id": "937a94cef755", "design_id": "9458a180716f", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/nvdla/hw", "commit": "8e06b1b9d85aab65b40d43d08eec5ea4681ff715", "path": "vmod/nvdla/cmac/NV_NVDLA_CMAC_CORE_rt_out.v", "sha256": "f262f2fd6705a73e437a405b02c6a08563bd50c27d8a08f21beaac9787ce3b1c"}} {"question": "For module td1, does the cell mix in its DFG agree with the cell breakdown from the medium-effort synthesis run, and what area, delay, and gate count does that synthesis report?", "answer": "They agree: the DFG of td1 has 19 nodes and 18 edges, and its non-port node types are one each of AND4_X1, NAND2_X1, AND2_X1, BUF_X8 and pinswap, which is the same set as the synthesis cell breakdown. The medium-effort synthesis reports a gate_count of 5, an area of 5.0 and a delay of 81.03.", "source_file": "github_repos/The-OpenROAD-Project_OpenROAD/src/rsz/test/pinswap_hier.v", "module_name": "td1", "tool_name": "graph_extractor+synthesis_tool", "tool_parameters": [{"graph_type": "DFG"}, {"optimization_level": "medium"}], "tool_result": "[graph_extractor {\"graph_type\": \"DFG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"DFG\",\n...[2885 chars elided]...\n \"node_count\": 19,\n \"edge_count\": 18,\n \"graph_properties\": {\n \"node_types\": {\n \"AND4_X1\": 1,\n \"port_input\": 11,\n \"port_output\": 3,\n \"NAND2_X1\": 1,\n \"pinswap\": 1,\n \"AND2_X1\": 1,\n \"BUF_X8\": 1\n },\n \"avg_degree\": 0.95,\n \"module_name\": \"td1\"\n },\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 5.0,\n \"delay\": 81.03,\n \"power\": 0.005,\n \"gate_count\": 5,\n \"cell_breakdown\": {\n \"AND4_X1\": 1,\n \"AND2_X1\": 1,\n \"BUF_X8\": 1,\n \"NAND2_X1\": 1,\n \"pinswap\": 1\n },\n \"wire_count\": 11,\n \"wire_bits\": 11,\n \"critical_path_estimate\": 81.03,\n...[1194 chars elided]...\n \"error\": null\n}", "category": "multi_tool", "subcategory": "graph_extractor+synthesis_tool", "difficulty": "compositional", "question_hash": "60f763544a6b", "stage1_target": "[{\"tool\": \"graph_extractor\", \"parameters\": {\"graph_type\": \"DFG\"}}, {\"tool\": \"synthesis_tool\", \"parameters\": {\"optimization_level\": \"medium\"}}]", "stage2_context": "Question: For module td1, does the cell mix in its DFG agree with the cell breakdown from the medium-effort synthesis run, and what area, delay, and gate count does that synthesis report?\n\n[graph_extractor {\"graph_type\": \"DFG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"DFG\",\n...[2885 chars elided]...\n \"node_count\": 19,\n \"edge_count\": 18,\n \"graph_properties\": {\n \"node_types\": {\n \"AND4_X1\": 1,\n \"port_input\": 11,\n \"port_output\": 3,\n \"NAND2_X1\": 1,\n \"pinswap\": 1,\n \"AND2_X1\": 1,\n \"BUF_X8\": 1\n },\n \"avg_degree\": 0.95,\n \"module_name\": \"td1\"\n },\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 5.0,\n \"delay\": 81.03,\n \"power\": 0.005,\n \"gate_count\": 5,\n \"cell_breakdown\": {\n \"AND4_X1\": 1,\n \"AND2_X1\": 1,\n \"BUF_X8\": 1,\n \"NAND2_X1\": 1,\n \"pinswap\": 1\n },\n \"wire_count\": 11,\n \"wire_bits\": 11,\n \"critical_path_estimate\": 81.03,\n...[1194 chars elided]...\n \"error\": null\n}", "plan_id": "387d30d53b63", "design_id": "947191ddea22", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/The-OpenROAD-Project/OpenROAD", "commit": "3e3e483a4e3f98e2b5470b272040699de6dedbee", "path": "src/rsz/test/pinswap_hier.v", "sha256": "acfd6fbef9191373e3400e5bf02069dcd63f3fb6e19c8747d2f4e080ac383ecf"}} {"question": "For dcache_mux, the medium-effort synthesis gives an area of 237.0 with 207 gates, most of them NAND cells. The RTL-to-netlist mapping leaves some registers unmapped. If I follow the area-targeted optimization advice, how much area reduction should I expect, what delay trade-off comes with it, and which registers should I check after re-synthesis?", "answer": "dcache_mux currently synthesizes to an area of 237.0 and a delay of 236.12 with 207 gates, 103 of them $_NAND_ cells. The area-targeted recipes (including 'share -aggressive' and 'muxcover; opt') are estimated to change area by -15.0 and delay by 5.0, so you trade some delay for the smaller area. The mapping's alignment score is 93.75 with 2 unmapped signals, pending_q and cache_access_q, so check those registers in the netlist after re-synthesis.", "source_file": "github_repos/ultraembedded_riscv/top_cache_axi/src_v/dcache_mux.v", "module_name": "dcache_mux", "tool_name": "cross_stage_mapper+optimization_advisor+synthesis_tool", "tool_parameters": [{}, {"target_metric": "area"}, {"optimization_level": "medium"}], "tool_result": "[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"mem_uncached_cacheable_o\": [\n \"mem_uncached_cacheable_o\"\n ],\n \"mem_cached_invalidate_o\": [\n \"mem_cached_invalidate_o\"\n ],\n \"mem_uncached_ack_i\": [\n \"mem_uncached_ack_i\"\n ],\n \"mem_error_o\": [\n \n...[1229 chars elided]...\n\"mem_writeback_i\"\n ],\n \"mem_rd_i\": [\n \"mem_rd_i\"\n ],\n \"cache_active_o\": [\n \"cache_active_o\"\n ],\n \"mem_cached_flush_o\": [\n \"mem_cached_flush_o\"\n ],\n \"mem_cached_ack_i\": [\n \"mem_cached_ack_i\"\n ],\n \"mem_uncached_rd_o\": [\n \"mem_uncached_rd_o\"\n ]\n },\n \"alignment_score\": 93.75,\n \"unmapped_elements\": [\n \"pending_q\",\n \"cache_access_q\"\n ],\n \"mapping_statistics\": {\n \"rtl_signals\": 32,\n \"netlist_wires\": 488,\n \"netlist_cells\": 0,\n \"mapped_signals\": 30,\n \"unmapped_signals\": 2\n },\n \"error\": null\n}\n\n[optimization_advisor {\"target_metric\": \"area\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"area\",\n \"recommended_recipes\": [\n \"synth -top dcache_mux -flatten\",\n \"opt -full; share -aggressive; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean -purge\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"mux_optimization\",\n \"description\": \"Share multiplexers where possible\",\n \"command\": \"muxcover; opt\"\n },\n {\n \"type\": \"resource_sharing\",\n \"description\": \"Share arithmetic operators\",\n \"command\": \"share -aggressive\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": -15.0,\n \"delay\": 5.0,\n \"power\": -10.0\n },\n \"trade_offs\": [\n \"Area optimization may increase delay\",\n \"Aggressive sharing increases routing complexity\"\n ],\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 237.0,\n \"delay\": 236.12,\n \"power\": 0.207,\n \"gate_count\": 207,\n \"cell_breakdown\": {\n \"$_ANDNOT_\": 4,\n \"$_AND_\": 25,\n \"$_DFFE_PP0P_\": 6,\n \"$_NAND_\": 103,\n \"$_NOR_\": 7,\n \"$_NOT_\": 1,\n \"$_ORNOT_\": 49,\n \"$_OR_\": 8,\n \"$_XNOR_\"\n...[1738 chars elided]...\n \"error\": null\n}", "category": "multi_tool", "subcategory": "cross_stage_mapper+optimization_advisor+synthesis_tool", "difficulty": "compositional", "question_hash": "996facfef89e", "stage1_target": "[{\"tool\": \"cross_stage_mapper\", \"parameters\": {}}, {\"tool\": \"optimization_advisor\", \"parameters\": {\"target_metric\": \"area\"}}, {\"tool\": \"synthesis_tool\", \"parameters\": {\"optimization_level\": \"medium\"}}]", "stage2_context": "Question: For dcache_mux, the medium-effort synthesis gives an area of 237.0 with 207 gates, most of them NAND cells. The RTL-to-netlist mapping leaves some registers unmapped. If I follow the area-targeted optimization advice, how much area reduction should I expect, what delay trade-off comes with it, and which registers should I check after re-synthesis?\n\n[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"mem_uncached_cacheable_o\": [\n \"mem_uncached_cacheable_o\"\n ],\n \"mem_cached_invalidate_o\": [\n \"mem_cached_invalidate_o\"\n ],\n \"mem_uncached_ack_i\": [\n \"mem_uncached_ack_i\"\n ],\n \"mem_error_o\": [\n \n...[1229 chars elided]...\n\"mem_writeback_i\"\n ],\n \"mem_rd_i\": [\n \"mem_rd_i\"\n ],\n \"cache_active_o\": [\n \"cache_active_o\"\n ],\n \"mem_cached_flush_o\": [\n \"mem_cached_flush_o\"\n ],\n \"mem_cached_ack_i\": [\n \"mem_cached_ack_i\"\n ],\n \"mem_uncached_rd_o\": [\n \"mem_uncached_rd_o\"\n ]\n },\n \"alignment_score\": 93.75,\n \"unmapped_elements\": [\n \"pending_q\",\n \"cache_access_q\"\n ],\n \"mapping_statistics\": {\n \"rtl_signals\": 32,\n \"netlist_wires\": 488,\n \"netlist_cells\": 0,\n \"mapped_signals\": 30,\n \"unmapped_signals\": 2\n },\n \"error\": null\n}\n\n[optimization_advisor {\"target_metric\": \"area\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"area\",\n \"recommended_recipes\": [\n \"synth -top dcache_mux -flatten\",\n \"opt -full; share -aggressive; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean -purge\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"mux_optimization\",\n \"description\": \"Share multiplexers where possible\",\n \"command\": \"muxcover; opt\"\n },\n {\n \"type\": \"resource_sharing\",\n \"description\": \"Share arithmetic operators\",\n \"command\": \"share -aggressive\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": -15.0,\n \"delay\": 5.0,\n \"power\": -10.0\n },\n \"trade_offs\": [\n \"Area optimization may increase delay\",\n \"Aggressive sharing increases routing complexity\"\n ],\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 237.0,\n \"delay\": 236.12,\n \"power\": 0.207,\n \"gate_count\": 207,\n \"cell_breakdown\": {\n \"$_ANDNOT_\": 4,\n \"$_AND_\": 25,\n \"$_DFFE_PP0P_\": 6,\n \"$_NAND_\": 103,\n \"$_NOR_\": 7,\n \"$_NOT_\": 1,\n \"$_ORNOT_\": 49,\n \"$_OR_\": 8,\n \"$_XNOR_\"\n...[1738 chars elided]...\n \"error\": null\n}", "plan_id": "581f8b91e344", "design_id": "94ac607a74be", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 3, "ctx_cap": 3300, "source": {"repository": "https://github.com/ultraembedded/riscv", "commit": "7ae6f803e30f78c6ea3121e73c3adf50ff912730", "path": "top_cache_axi/src_v/dcache_mux.v", "sha256": "c6489050cf64368e2da4cb6e820591fd2064e2091faad508f87048ede44cdf4c"}} {"question": "For the serving_ram module, how well do the RTL signals line up with the post-synthesis netlist, and is the poor alignment explained by structural issues visible in the RTL's static analysis?", "answer": "In serving_ram, only 3 of 7 RTL signals map to the netlist (alignment score 42.86), and the output o_rdata and the memory array are among the unmapped elements, even though the netlist has 43 wires and 0 cells. Static analysis finds no lint warnings and a simple structure (1 always block, cyclomatic complexity 5, 5 inputs and 1 output), so the low alignment most likely comes from the memory being inferred or abstracted away during synthesis rather than from problems in the RTL itself.", "source_file": "github_repos/olofk_serv/serving/serving_ram.v", "module_name": "serving_ram", "tool_name": "cross_stage_mapper+static_analyzer", "tool_parameters": [{}, {"analysis_type": "full"}], "tool_result": "[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"wire\": [],\n \"reg\": [],\n \"mem\": [],\n \"i_wdata\": [\n \"i_wdata\"\n ],\n \"o_rdata\": [],\n \"i_wen\": [\n \"i_wen\"\n ],\n \"i_clk\": [\n \"i_clk\"\n ]\n },\n \"alignment_score\": 42.86,\n \"unmapped_elements\": [\n \"wire\",\n \"reg\",\n \"mem\",\n \"o_rdata\"\n ],\n \"mapping_statistics\": {\n \"rtl_signals\": 7,\n \"netlist_wires\": 43,\n \"netlist_cells\": 0,\n \"mapped_signals\": 3,\n \"unmapped_signals\": 4\n },\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"serving_ram\",\n \"port_count\": {\n \"inputs\": 5,\n \"outputs\": 1,\n \"inouts\": 0,\n \"total\": 6\n },\n \"signal_count\": {\n \"wires\": 3,\n \"regs\": 2,\n \"parameters\": 3,\n \"total\": 5\n },\n \"always_blocks\": 1,\n \"assign_statements\": 0,\n \"instantiations\": [\n \"initial\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 41,\n \"total_lines\": 46,\n \"cyclomatic_complexity\": 5,\n \"nesting_depth\": 2,\n \"operator_count\": 41\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "category": "multi_tool", "subcategory": "cross_stage_mapper+static_analyzer", "difficulty": "compositional", "question_hash": "a13b21322d70", "stage1_target": "[{\"tool\": \"cross_stage_mapper\", \"parameters\": {}}, {\"tool\": \"static_analyzer\", \"parameters\": {\"analysis_type\": \"full\"}}]", "stage2_context": "Question: For the serving_ram module, how well do the RTL signals line up with the post-synthesis netlist, and is the poor alignment explained by structural issues visible in the RTL's static analysis?\n\n[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"wire\": [],\n \"reg\": [],\n \"mem\": [],\n \"i_wdata\": [\n \"i_wdata\"\n ],\n \"o_rdata\": [],\n \"i_wen\": [\n \"i_wen\"\n ],\n \"i_clk\": [\n \"i_clk\"\n ]\n },\n \"alignment_score\": 42.86,\n \"unmapped_elements\": [\n \"wire\",\n \"reg\",\n \"mem\",\n \"o_rdata\"\n ],\n \"mapping_statistics\": {\n \"rtl_signals\": 7,\n \"netlist_wires\": 43,\n \"netlist_cells\": 0,\n \"mapped_signals\": 3,\n \"unmapped_signals\": 4\n },\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"serving_ram\",\n \"port_count\": {\n \"inputs\": 5,\n \"outputs\": 1,\n \"inouts\": 0,\n \"total\": 6\n },\n \"signal_count\": {\n \"wires\": 3,\n \"regs\": 2,\n \"parameters\": 3,\n \"total\": 5\n },\n \"always_blocks\": 1,\n \"assign_statements\": 0,\n \"instantiations\": [\n \"initial\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 41,\n \"total_lines\": 46,\n \"cyclomatic_complexity\": 5,\n \"nesting_depth\": 2,\n \"operator_count\": 41\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "plan_id": "4122677bd88d", "design_id": "95bfe2d07328", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/olofk/serv", "commit": "f200eb2ed7b69ac1c6b8eddd47654522aeee5ce8", "path": "serving/serving_ram.v", "sha256": "506c71b24e8e7364a9b2acea400a1ba6edacb48c6ccf34816f673694bd9bb6ac"}} {"question": "For int_sum_block, how does the register count in the RTL source compare with the number of flip-flops left after medium-effort synthesis, and how big is the synthesized netlist in area and delay compared with the source code's complexity?", "answer": "The int_sum_block source declares 21 regs in 19 always blocks, and medium-effort synthesis turns these into 482 $_DFFE_PN0P_ flip-flops, which shows the regs are multi-bit. The netlist has 6054 cells, an area of 7105.5 and a critical-path delay of 714.25, which fits the high cyclomatic complexity of 219 and the 1971 operators in its 829 lines of code.", "source_file": "github_repos/nvdla_hw/vmod/nvdla/cdp/int_sum_block.v", "module_name": "int_sum_block", "tool_name": "static_analyzer+synthesis_tool", "tool_parameters": [{"analysis_type": "full"}, {"optimization_level": "medium"}], "tool_result": "[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"int_sum_block\",\n \"port_count\": {\n \"inputs\": 36,\n \"outputs\": 2,\n \"inouts\": 0,\n \"total\": 38\n },\n \"signal_count\": {\n \"wires\": 12,\n \"regs\": 21,\n \"parameters\": 0,\n \"total\": 33\n },\n \"always_blocks\": 19,\n \"assign_statements\": 14,\n \"instantiations\": [\n \"define\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 829,\n \"total_lines\": 1286,\n \"cyclomatic_complexity\": 219,\n \"nesting_depth\": 114,\n \"operator_count\": 1971\n },\n \"lint_warnings\": [],\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 7105.5,\n \"delay\": 714.25,\n \"power\": 6.054,\n \"gate_count\": 6054,\n \"cell_breakdown\": {\n \"$_ANDNOT_\": 218,\n \"$_AND_\": 1913,\n \"$_DFFE_PN0P_\": 482,\n \"$_NAND_\": 1422,\n \"$_NOR_\": 69,\n \"$_NOT_\": 5,\n \"$_ORNOT_\": 202,\n \"$_OR_\": 899,\n \"$_XNOR_\": 245,\n \"$_XOR_\": 599\n },\n \"wire_count\": 4493,\n \"wire_bits\": 6769,\n \"critical_path_estimate\": 714.25,\n...[1307 chars elided]...\n \"error\": null\n}", "category": "multi_tool", "subcategory": "static_analyzer+synthesis_tool", "difficulty": "compositional", "question_hash": "faa689acf996", "stage1_target": "[{\"tool\": \"static_analyzer\", \"parameters\": {\"analysis_type\": \"full\"}}, {\"tool\": \"synthesis_tool\", \"parameters\": {\"optimization_level\": \"medium\"}}]", "stage2_context": "Question: For int_sum_block, how does the register count in the RTL source compare with the number of flip-flops left after medium-effort synthesis, and how big is the synthesized netlist in area and delay compared with the source code's complexity?\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"int_sum_block\",\n \"port_count\": {\n \"inputs\": 36,\n \"outputs\": 2,\n \"inouts\": 0,\n \"total\": 38\n },\n \"signal_count\": {\n \"wires\": 12,\n \"regs\": 21,\n \"parameters\": 0,\n \"total\": 33\n },\n \"always_blocks\": 19,\n \"assign_statements\": 14,\n \"instantiations\": [\n \"define\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 829,\n \"total_lines\": 1286,\n \"cyclomatic_complexity\": 219,\n \"nesting_depth\": 114,\n \"operator_count\": 1971\n },\n \"lint_warnings\": [],\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 7105.5,\n \"delay\": 714.25,\n \"power\": 6.054,\n \"gate_count\": 6054,\n \"cell_breakdown\": {\n \"$_ANDNOT_\": 218,\n \"$_AND_\": 1913,\n \"$_DFFE_PN0P_\": 482,\n \"$_NAND_\": 1422,\n \"$_NOR_\": 69,\n \"$_NOT_\": 5,\n \"$_ORNOT_\": 202,\n \"$_OR_\": 899,\n \"$_XNOR_\": 245,\n \"$_XOR_\": 599\n },\n \"wire_count\": 4493,\n \"wire_bits\": 6769,\n \"critical_path_estimate\": 714.25,\n...[1307 chars elided]...\n \"error\": null\n}", "plan_id": "af9fe3524b19", "design_id": "972d9d0d61fb", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/nvdla/hw", "commit": "8e06b1b9d85aab65b40d43d08eec5ea4681ff715", "path": "vmod/nvdla/cdp/int_sum_block.v", "sha256": "54bd3eb57fb362180b9e2ba00ad8878c9818d660b718131b4b2cf05dc0cc2199"}} {"question": "For NV_NVDLA_CDMA_single_reg, do the AIG graph and the medium-effort synthesized netlist agree on the number and type of flip-flops? How much smaller is the synthesized logic than the AIG, and how well do the RTL signals line up with the netlist?", "answer": "The AIG of NV_NVDLA_CDMA_single_reg has 1204 nodes (477 $_AND_ and 705 $_NOT_) with 3 $_DFFE_PN0P_ and 6 $_DFFE_PN1P_ flip-flops, and the medium-effort synthesized netlist keeps exactly those 3 and 6 flops while reducing the design to 103 gates (area 104.5, delay 193.03). The RTL-to-netlist alignment score is 70.37, with 19 of 27 RTL signals mapped and 8 unmapped, including arb_weight and nvdla_cdma_s_status_0_wren.", "source_file": "github_repos/nvdla_hw/vmod/nvdla/cdma/NV_NVDLA_CDMA_single_reg.v", "module_name": "NV_NVDLA_CDMA_single_reg", "tool_name": "cross_stage_mapper+graph_extractor+synthesis_tool", "tool_parameters": [{}, {"graph_type": "AIG"}, {"optimization_level": "medium"}], "tool_result": "[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"arreggen_dump\": [],\n \"nvdla_cdma_s_arbiter_0_wren\": [\n \"nvdla_cdma_s_arbiter_0_wren\"\n ],\n \"nvdla_cdma_s_cbuf_flush_status_0_out\": [\n \"nvdla_cdma_s_cbuf_flush_status_0_out\"\n ],\n \"wr\": [\n \"nvdla_cdm\n...[1247 chars elided]...\n [\n \"flush_done\"\n ],\n \"reg_offset\": [\n \"reg_offset_rd_int\",\n \"reg_offset\",\n \"reg_offset_wr\"\n ]\n },\n \"alignment_score\": 70.37,\n \"unmapped_elements\": [\n \"arreggen_dump\",\n \"arreggen_abort_on_rowr\",\n \"arreggen_abort_on_invalid_wr\",\n \"nvdla_cdma_s_status_0_wren\",\n \"arb_wmb\",\n \"nvdla_cdma_s_cbuf_flush_status_0_wren\",\n \"producer\",\n \"arb_weight\"\n ],\n \"mapping_statistics\": {\n \"rtl_signals\": 27,\n \"netlist_wires\": 485,\n \"netlist_cells\": 0,\n \"mapped_signals\": 19,\n \"unmapped_signals\": 8\n },\n \"error\": null\n}\n\n[graph_extractor {\"graph_type\": \"AIG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"AIG\",\n...[33891 chars elided]...\n \"node_count\": 1204,\n \"edge_count\": 2886,\n \"graph_properties\": {\n \"node_types\": {\n \"$_AND_\": 477,\n \"$_NOT_\": 705,\n \"$_DFFE_PN0P_\": 3,\n \"$_DFFE_PN1P_\": 6,\n \"port_output\": 4,\n \"port_input\": 9\n },\n \"avg_degree\": 2.4,\n \"module_name\": \"NV_NVDLA_CDMA_single_reg\"\n },\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 104.5,\n \"delay\": 193.03,\n \"power\": 0.103,\n \"gate_count\": 103,\n \"cell_breakdown\": {\n \"$_ANDNOT_\": 4,\n \"$_AND_\": 58,\n \"$_DFFE_PN0P_\": 3,\n \"$_DFFE_PN1P_\": 6,\n \"$_NAND_\": 9,\n \"$_NOR_\": 12,\n \"$_NOT_\": 1,\n \"$_OR_\": 10\n },\n \"wir\n...[1696 chars elided]...\n \"error\": null\n}", "category": "multi_tool", "subcategory": "cross_stage_mapper+graph_extractor+synthesis_tool", "difficulty": "compositional", "question_hash": "c66761f44054", "stage1_target": "[{\"tool\": \"cross_stage_mapper\", \"parameters\": {}}, {\"tool\": \"graph_extractor\", \"parameters\": {\"graph_type\": \"AIG\"}}, {\"tool\": \"synthesis_tool\", \"parameters\": {\"optimization_level\": \"medium\"}}]", "stage2_context": "Question: For NV_NVDLA_CDMA_single_reg, do the AIG graph and the medium-effort synthesized netlist agree on the number and type of flip-flops? How much smaller is the synthesized logic than the AIG, and how well do the RTL signals line up with the netlist?\n\n[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"arreggen_dump\": [],\n \"nvdla_cdma_s_arbiter_0_wren\": [\n \"nvdla_cdma_s_arbiter_0_wren\"\n ],\n \"nvdla_cdma_s_cbuf_flush_status_0_out\": [\n \"nvdla_cdma_s_cbuf_flush_status_0_out\"\n ],\n \"wr\": [\n \"nvdla_cdm\n...[1247 chars elided]...\n [\n \"flush_done\"\n ],\n \"reg_offset\": [\n \"reg_offset_rd_int\",\n \"reg_offset\",\n \"reg_offset_wr\"\n ]\n },\n \"alignment_score\": 70.37,\n \"unmapped_elements\": [\n \"arreggen_dump\",\n \"arreggen_abort_on_rowr\",\n \"arreggen_abort_on_invalid_wr\",\n \"nvdla_cdma_s_status_0_wren\",\n \"arb_wmb\",\n \"nvdla_cdma_s_cbuf_flush_status_0_wren\",\n \"producer\",\n \"arb_weight\"\n ],\n \"mapping_statistics\": {\n \"rtl_signals\": 27,\n \"netlist_wires\": 485,\n \"netlist_cells\": 0,\n \"mapped_signals\": 19,\n \"unmapped_signals\": 8\n },\n \"error\": null\n}\n\n[graph_extractor {\"graph_type\": \"AIG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"AIG\",\n...[33891 chars elided]...\n \"node_count\": 1204,\n \"edge_count\": 2886,\n \"graph_properties\": {\n \"node_types\": {\n \"$_AND_\": 477,\n \"$_NOT_\": 705,\n \"$_DFFE_PN0P_\": 3,\n \"$_DFFE_PN1P_\": 6,\n \"port_output\": 4,\n \"port_input\": 9\n },\n \"avg_degree\": 2.4,\n \"module_name\": \"NV_NVDLA_CDMA_single_reg\"\n },\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 104.5,\n \"delay\": 193.03,\n \"power\": 0.103,\n \"gate_count\": 103,\n \"cell_breakdown\": {\n \"$_ANDNOT_\": 4,\n \"$_AND_\": 58,\n \"$_DFFE_PN0P_\": 3,\n \"$_DFFE_PN1P_\": 6,\n \"$_NAND_\": 9,\n \"$_NOR_\": 12,\n \"$_NOT_\": 1,\n \"$_OR_\": 10\n },\n \"wir\n...[1696 chars elided]...\n \"error\": null\n}", "plan_id": "825eb460160e", "design_id": "981a0ca2bce2", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 3, "ctx_cap": 3300, "source": {"repository": "https://github.com/nvdla/hw", "commit": "8e06b1b9d85aab65b40d43d08eec5ea4681ff715", "path": "vmod/nvdla/cdma/NV_NVDLA_CDMA_single_reg.v", "sha256": "c059e274422d40522e3aef391bd12898f24ea796c48e0b860acc4546f3009a96"}} {"question": "For NV_NVDLA_CDMA_single_reg, how well do the RTL signals line up with the synthesized netlist, and before I run an area-targeted optimization flow, what area gain should I expect and what trade-off comes with it?", "answer": "NV_NVDLA_CDMA_single_reg has an RTL-to-netlist alignment score of 70.37. 19 of its 27 RTL signals map onto the 485 netlist wires, and 8 stay unmapped, such as arreggen_dump and nvdla_cdma_s_status_0_wren. The area-targeted flow (including share -aggressive and muxcover) is estimated to change area by -15.0, but delay by 5.0, because area optimization may increase delay and aggressive sharing adds routing complexity.", "source_file": "github_repos/nvdla_hw/vmod/nvdla/cdma/NV_NVDLA_CDMA_single_reg.v", "module_name": "NV_NVDLA_CDMA_single_reg", "tool_name": "cross_stage_mapper+optimization_advisor", "tool_parameters": [{}, {"target_metric": "area"}], "tool_result": "[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"arreggen_dump\": [],\n \"nvdla_cdma_s_arbiter_0_wren\": [\n \"nvdla_cdma_s_arbiter_0_wren\"\n ],\n \"nvdla_cdma_s_cbuf_flush_status_0_out\": [\n \"nvdla_cdma_s_cbuf_flush_status_0_out\"\n ],\n \"wr\": [\n \"nvdla_cdma_s_pointer_0_wren\",\n \"reg_wr_data\",\n \"nvdla_cdma_s_arbiter_0_wren\",\n \"reg_wr_en\",\n \"reg_offset_wr\"\n ],\n \"nvdla_cdma_s_statu\n...[797 chars elided]...\n \"reg_offset_rd_int\": [\n \"reg_offset_rd_int\"\n ],\n \"nvdla_cdma_s_pointer_0_wren\": [\n \"nvdla_cdma_s_pointer_0_wren\"\n ],\n \"arb_weight\": [],\n \"nvdla_cdma_s_arbiter_0_out\": [\n \"nvdla_cdma_s_arbiter_0_out\"\n ],\n \"reg_wr_en\": [\n \"reg_wr_en\"\n ],\n \"flush_done\": [\n \"flush_done\"\n ],\n \"reg_offset\": [\n \"reg_offset_rd_int\",\n \"reg_offset\",\n \"reg_offset_wr\"\n ]\n },\n \"alignment_score\": 70.37,\n \"unmapped_elements\": [\n \"arreggen_dump\",\n \"arreggen_abort_on_rowr\",\n \"arreggen_abort_on_invalid_wr\",\n \"nvdla_cdma_s_status_0_wren\",\n \"arb_wmb\",\n \"nvdla_cdma_s_cbuf_flush_status_0_wren\",\n \"producer\",\n \"arb_weight\"\n ],\n \"mapping_statistics\": {\n \"rtl_signals\": 27,\n \"netlist_wires\": 485,\n \"netlist_cells\": 0,\n \"mapped_signals\": 19,\n \"unmapped_signals\": 8\n },\n \"error\": null\n}\n\n[optimization_advisor {\"target_metric\": \"area\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"area\",\n \"recommended_recipes\": [\n \"synth -top NV_NVDLA_CDMA_single_reg -flatten\",\n \"opt -full; share -aggressive; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean -purge\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"mux_optimization\",\n \"description\": \"Share multiplexers where possible\",\n \"command\": \"muxcover; opt\"\n },\n {\n \"type\": \"resource_sharing\",\n \"description\": \"Share arithmetic operators\",\n \"command\": \"share -aggressive\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": -15.0,\n \"delay\": 5.0,\n \"power\": -10.0\n },\n \"trade_offs\": [\n \"Area optimization may increase delay\",\n \"Aggressive sharing increases routing complexity\"\n ],\n \"error\": null\n}", "category": "multi_tool", "subcategory": "cross_stage_mapper+optimization_advisor", "difficulty": "compositional", "question_hash": "fc5c414b4414", "stage1_target": "[{\"tool\": \"cross_stage_mapper\", \"parameters\": {}}, {\"tool\": \"optimization_advisor\", \"parameters\": {\"target_metric\": \"area\"}}]", "stage2_context": "Question: For NV_NVDLA_CDMA_single_reg, how well do the RTL signals line up with the synthesized netlist, and before I run an area-targeted optimization flow, what area gain should I expect and what trade-off comes with it?\n\n[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"arreggen_dump\": [],\n \"nvdla_cdma_s_arbiter_0_wren\": [\n \"nvdla_cdma_s_arbiter_0_wren\"\n ],\n \"nvdla_cdma_s_cbuf_flush_status_0_out\": [\n \"nvdla_cdma_s_cbuf_flush_status_0_out\"\n ],\n \"wr\": [\n \"nvdla_cdma_s_pointer_0_wren\",\n \"reg_wr_data\",\n \"nvdla_cdma_s_arbiter_0_wren\",\n \"reg_wr_en\",\n \"reg_offset_wr\"\n ],\n \"nvdla_cdma_s_statu\n...[797 chars elided]...\n \"reg_offset_rd_int\": [\n \"reg_offset_rd_int\"\n ],\n \"nvdla_cdma_s_pointer_0_wren\": [\n \"nvdla_cdma_s_pointer_0_wren\"\n ],\n \"arb_weight\": [],\n \"nvdla_cdma_s_arbiter_0_out\": [\n \"nvdla_cdma_s_arbiter_0_out\"\n ],\n \"reg_wr_en\": [\n \"reg_wr_en\"\n ],\n \"flush_done\": [\n \"flush_done\"\n ],\n \"reg_offset\": [\n \"reg_offset_rd_int\",\n \"reg_offset\",\n \"reg_offset_wr\"\n ]\n },\n \"alignment_score\": 70.37,\n \"unmapped_elements\": [\n \"arreggen_dump\",\n \"arreggen_abort_on_rowr\",\n \"arreggen_abort_on_invalid_wr\",\n \"nvdla_cdma_s_status_0_wren\",\n \"arb_wmb\",\n \"nvdla_cdma_s_cbuf_flush_status_0_wren\",\n \"producer\",\n \"arb_weight\"\n ],\n \"mapping_statistics\": {\n \"rtl_signals\": 27,\n \"netlist_wires\": 485,\n \"netlist_cells\": 0,\n \"mapped_signals\": 19,\n \"unmapped_signals\": 8\n },\n \"error\": null\n}\n\n[optimization_advisor {\"target_metric\": \"area\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"area\",\n \"recommended_recipes\": [\n \"synth -top NV_NVDLA_CDMA_single_reg -flatten\",\n \"opt -full; share -aggressive; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean -purge\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"mux_optimization\",\n \"description\": \"Share multiplexers where possible\",\n \"command\": \"muxcover; opt\"\n },\n {\n \"type\": \"resource_sharing\",\n \"description\": \"Share arithmetic operators\",\n \"command\": \"share -aggressive\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": -15.0,\n \"delay\": 5.0,\n \"power\": -10.0\n },\n \"trade_offs\": [\n \"Area optimization may increase delay\",\n \"Aggressive sharing increases routing complexity\"\n ],\n \"error\": null\n}", "plan_id": "96e8b3aa0baf", "design_id": "981a0ca2bce2", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/nvdla/hw", "commit": "8e06b1b9d85aab65b40d43d08eec5ea4681ff715", "path": "vmod/nvdla/cdma/NV_NVDLA_CDMA_single_reg.v", "sha256": "c059e274422d40522e3aef391bd12898f24ea796c48e0b860acc4546f3009a96"}} {"question": "For dcache_axi_axi, six RTL registers (including buf_q and req_cnt_q) don't map to any netlist signal after medium-effort synthesis. How does that fit with the flip-flop count in the synthesized netlist, and what alignment score, area and delay come with this result?", "answer": "In dcache_axi_axi, the six unmapped registers (req_cnt_q, buf_q, awvalid_q, wlast_q, wvalid_q, valid_q) are what pull the RTL-to-netlist alignment score down to 82.86. They are still implemented in hardware, though: they appear as 84 $_DFF_PP0_ and 12 $_DFFE_PP0P_ cells, which were renamed during synthesis, out of 440 gates in total. The medium-effort netlist has an area of 489.0 and a delay of 295.5.", "source_file": "github_repos/ultraembedded_riscv/top_cache_axi/src_v/dcache_axi_axi.v", "module_name": "dcache_axi_axi", "tool_name": "cross_stage_mapper+synthesis_tool", "tool_parameters": [{}, {"optimization_level": "medium"}], "tool_result": "[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"inport_rlast_o\": [\n \"inport_rlast_o\"\n ],\n \"outport_awvalid_o\": [\n \"outport_awvalid_o\"\n ],\n \"req_cnt_q\": [],\n \"outport_wready_i\": [\n \"outport_wready_i\"\n ],\n \"inport_write_w\": [\n \"inport_write_w\"\n ],\n \"inport_bready_i\": [\n \"inport_bready_i\"\n ],\n \"buf_q\": [],\n \"wr_data_accepted_w\": [\n \"wr_data_accepted_w\"\n ],\n...[813 chars elided]...\n,\n \"outport_arready_i\": [\n \"outport_arready_i\"\n ],\n \"wr_cmd_accepted_w\": [\n \"wr_cmd_accepted_w\"\n ],\n \"wvalid_q\": [],\n \"valid_q\": [],\n \"inport_valid_i\": [\n \"inport_valid_i\"\n ],\n \"outport_wlast_o\": [\n \"outport_wlast_o\"\n ],\n \"inport_rready_i\": [\n \"inport_rready_i\"\n ],\n \"outport_wvalid_o\": [\n \"outport_wvalid_o\"\n ],\n \"outport_awready_i\": [\n \"outport_awready_i\"\n ],\n \"inport_wlast_w\": [\n \"inport_wlast_w\"\n ],\n \"skid_busy_w\": [\n \"skid_busy_w\"\n ]\n },\n \"alignment_score\": 82.86,\n \"unmapped_elements\": [\n \"req_cnt_q\",\n \"buf_q\",\n \"awvalid_q\",\n \"wlast_q\",\n \"wvalid_q\",\n \"valid_q\"\n ],\n \"mapping_statistics\": {\n \"rtl_signals\": 35,\n \"netlist_wires\": 785,\n \"netlist_cells\": 0,\n \"mapped_signals\": 29,\n \"unmapped_signals\": 6\n },\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 489.0,\n \"delay\": 295.5,\n \"power\": 0.44,\n \"gate_count\": 440,\n \"cell_breakdown\": {\n \"$_ANDNOT_\": 7,\n \"$_AND_\": 26,\n \"$_DFFE_PP0P_\": 12,\n \"$_DFF_PP0_\": 84,\n \"$_NAND_\": 180,\n \"$_NOR_\": 15,\n \"$_NOT_\": 6,\n \"$_ORNOT_\": 91,\n \"$_OR_\": 16,\n \"$_XNOR_\": 1,\n \"$_XOR_\": 2\n },\n \"wire_count\": 319,\n \"wire_bits\": 757,\n \"critical_path_estimate\": 295.5,\n...[1315 chars elided]...\n \"error\": null\n}", "category": "multi_tool", "subcategory": "cross_stage_mapper+synthesis_tool", "difficulty": "compositional", "question_hash": "49c8fac49e12", "stage1_target": "[{\"tool\": \"cross_stage_mapper\", \"parameters\": {}}, {\"tool\": \"synthesis_tool\", \"parameters\": {\"optimization_level\": \"medium\"}}]", "stage2_context": "Question: For dcache_axi_axi, six RTL registers (including buf_q and req_cnt_q) don't map to any netlist signal after medium-effort synthesis. How does that fit with the flip-flop count in the synthesized netlist, and what alignment score, area and delay come with this result?\n\n[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"inport_rlast_o\": [\n \"inport_rlast_o\"\n ],\n \"outport_awvalid_o\": [\n \"outport_awvalid_o\"\n ],\n \"req_cnt_q\": [],\n \"outport_wready_i\": [\n \"outport_wready_i\"\n ],\n \"inport_write_w\": [\n \"inport_write_w\"\n ],\n \"inport_bready_i\": [\n \"inport_bready_i\"\n ],\n \"buf_q\": [],\n \"wr_data_accepted_w\": [\n \"wr_data_accepted_w\"\n ],\n...[813 chars elided]...\n,\n \"outport_arready_i\": [\n \"outport_arready_i\"\n ],\n \"wr_cmd_accepted_w\": [\n \"wr_cmd_accepted_w\"\n ],\n \"wvalid_q\": [],\n \"valid_q\": [],\n \"inport_valid_i\": [\n \"inport_valid_i\"\n ],\n \"outport_wlast_o\": [\n \"outport_wlast_o\"\n ],\n \"inport_rready_i\": [\n \"inport_rready_i\"\n ],\n \"outport_wvalid_o\": [\n \"outport_wvalid_o\"\n ],\n \"outport_awready_i\": [\n \"outport_awready_i\"\n ],\n \"inport_wlast_w\": [\n \"inport_wlast_w\"\n ],\n \"skid_busy_w\": [\n \"skid_busy_w\"\n ]\n },\n \"alignment_score\": 82.86,\n \"unmapped_elements\": [\n \"req_cnt_q\",\n \"buf_q\",\n \"awvalid_q\",\n \"wlast_q\",\n \"wvalid_q\",\n \"valid_q\"\n ],\n \"mapping_statistics\": {\n \"rtl_signals\": 35,\n \"netlist_wires\": 785,\n \"netlist_cells\": 0,\n \"mapped_signals\": 29,\n \"unmapped_signals\": 6\n },\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 489.0,\n \"delay\": 295.5,\n \"power\": 0.44,\n \"gate_count\": 440,\n \"cell_breakdown\": {\n \"$_ANDNOT_\": 7,\n \"$_AND_\": 26,\n \"$_DFFE_PP0P_\": 12,\n \"$_DFF_PP0_\": 84,\n \"$_NAND_\": 180,\n \"$_NOR_\": 15,\n \"$_NOT_\": 6,\n \"$_ORNOT_\": 91,\n \"$_OR_\": 16,\n \"$_XNOR_\": 1,\n \"$_XOR_\": 2\n },\n \"wire_count\": 319,\n \"wire_bits\": 757,\n \"critical_path_estimate\": 295.5,\n...[1315 chars elided]...\n \"error\": null\n}", "plan_id": "874096b9edeb", "design_id": "99497c324a1b", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/ultraembedded/riscv", "commit": "7ae6f803e30f78c6ea3121e73c3adf50ff912730", "path": "top_cache_axi/src_v/dcache_axi_axi.v", "sha256": "ff193fd3a4db1b1d6b0df8eee80356b95972e40047162985e7dbea3a0f061151"}} {"question": "For NV_NVDLA_SDP_WDMA_gate, an area-focused recipe using aggressive operator sharing is suggested. Given the current medium-effort synthesized netlist, is that sharing step likely to pay off, and what delay cost does the area optimization estimate against the present critical path?", "answer": "NV_NVDLA_SDP_WDMA_gate synthesizes to only 4 cells (1 $_NAND_, 2 $_NOR_, and 1 NV_CLK_gate_power) with an area of 4.0, so there are no arithmetic operators for the suggested share -aggressive step to merge. The estimated -15.0 area gain is therefore unlikely to show up, while the estimated delay change of 5.0 would be added to a critical path that is already 64.42.", "source_file": "github_repos/nvdla_hw/vmod/nvdla/sdp/NV_NVDLA_SDP_WDMA_gate.v", "module_name": "NV_NVDLA_SDP_WDMA_gate", "tool_name": "optimization_advisor+synthesis_tool", "tool_parameters": [{"target_metric": "area"}, {"optimization_level": "medium"}], "tool_result": "[optimization_advisor {\"target_metric\": \"area\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"area\",\n \"recommended_recipes\": [\n \"synth -top NV_NVDLA_SDP_WDMA_gate -flatten\",\n \"opt -full; share -aggressive; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean -purge\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"resource_sharing\",\n \"description\": \"Share arithmetic operators\",\n \"command\": \"share -aggressive\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": -15.0,\n \"delay\": 5.0,\n \"power\": -10.0\n },\n \"trade_offs\": [\n \"Area optimization may increase delay\",\n \"Aggressive sharing increases routing complexity\"\n ],\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 4.0,\n \"delay\": 64.42,\n \"power\": 0.004,\n \"gate_count\": 4,\n \"cell_breakdown\": {\n \"$_NAND_\": 1,\n \"$_NOR_\": 2,\n \"NV_CLK_gate_power\": 1\n },\n \"wire_count\": 11,\n \"wire_bits\": 11,\n \"critical_path_estimate\": 64.42,\n...[1126 chars elided]...\n \"error\": null\n}", "category": "multi_tool", "subcategory": "optimization_advisor+synthesis_tool", "difficulty": "compositional", "question_hash": "105d5308850b", "stage1_target": "[{\"tool\": \"optimization_advisor\", \"parameters\": {\"target_metric\": \"area\"}}, {\"tool\": \"synthesis_tool\", \"parameters\": {\"optimization_level\": \"medium\"}}]", "stage2_context": "Question: For NV_NVDLA_SDP_WDMA_gate, an area-focused recipe using aggressive operator sharing is suggested. Given the current medium-effort synthesized netlist, is that sharing step likely to pay off, and what delay cost does the area optimization estimate against the present critical path?\n\n[optimization_advisor {\"target_metric\": \"area\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"area\",\n \"recommended_recipes\": [\n \"synth -top NV_NVDLA_SDP_WDMA_gate -flatten\",\n \"opt -full; share -aggressive; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean -purge\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"resource_sharing\",\n \"description\": \"Share arithmetic operators\",\n \"command\": \"share -aggressive\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": -15.0,\n \"delay\": 5.0,\n \"power\": -10.0\n },\n \"trade_offs\": [\n \"Area optimization may increase delay\",\n \"Aggressive sharing increases routing complexity\"\n ],\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 4.0,\n \"delay\": 64.42,\n \"power\": 0.004,\n \"gate_count\": 4,\n \"cell_breakdown\": {\n \"$_NAND_\": 1,\n \"$_NOR_\": 2,\n \"NV_CLK_gate_power\": 1\n },\n \"wire_count\": 11,\n \"wire_bits\": 11,\n \"critical_path_estimate\": 64.42,\n...[1126 chars elided]...\n \"error\": null\n}", "plan_id": "3289da43b9cb", "design_id": "9cf25dcfa24c", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/nvdla/hw", "commit": "8e06b1b9d85aab65b40d43d08eec5ea4681ff715", "path": "vmod/nvdla/sdp/NV_NVDLA_SDP_WDMA_gate.v", "sha256": "60ba40bdc254146da4b6f471888021de411e02d3087f3ebc2dae1f68775b24c6"}} {"question": "For the reg5 module, how does the structural netlist content (ports and instantiated primitive cell types) line up with the medium-effort synthesis results, and what area, delay, and gate count does that netlist produce?", "answer": "reg5 is a purely structural module with 2 inputs, 1 output, 0 always blocks and instantiations of snl_ffqx1, snl_bufx1 and snl_and02x1. Synthesis keeps those same cell types (3 snl_ffqx1, 1 snl_bufx1, 1 snl_and02x1), which gives a gate count of 5, an area of 5.0 and a delay of 81.03.", "source_file": "github_repos/The-OpenROAD-Project_OpenROAD/src/dbSta/test/reg5.v", "module_name": "reg5", "tool_name": "static_analyzer+synthesis_tool", "tool_parameters": [{"analysis_type": "full"}, {"optimization_level": "medium"}], "tool_result": "[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"reg5\",\n \"port_count\": {\n \"inputs\": 2,\n \"outputs\": 1,\n \"inouts\": 0,\n \"total\": 3\n },\n \"signal_count\": {\n \"wires\": 4,\n \"regs\": 0,\n \"parameters\": 0,\n \"total\": 4\n },\n \"always_blocks\": 0,\n \"assign_statements\": 0,\n \"instantiations\": [\n \"snl_ffqx1\",\n \"snl_bufx1\",\n \"snl_and02x1\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 25,\n \"total_lines\": 29,\n \"cyclomatic_complexity\": 2,\n \"nesting_depth\": 0,\n \"operator_count\": 2\n },\n \"lint_warnings\": [],\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 5.0,\n \"delay\": 81.03,\n \"power\": 0.005,\n \"gate_count\": 5,\n \"cell_breakdown\": {\n \"snl_and02x1\": 1,\n \"snl_bufx1\": 1,\n \"snl_ffqx1\": 3\n },\n \"wire_count\": 7,\n \"wire_bits\": 10,\n \"critical_path_estimate\": 81.03,\n...[1126 chars elided]...\n \"error\": null\n}", "category": "multi_tool", "subcategory": "static_analyzer+synthesis_tool", "difficulty": "compositional", "question_hash": "e4e1fb68490a", "stage1_target": "[{\"tool\": \"static_analyzer\", \"parameters\": {\"analysis_type\": \"full\"}}, {\"tool\": \"synthesis_tool\", \"parameters\": {\"optimization_level\": \"medium\"}}]", "stage2_context": "Question: For the reg5 module, how does the structural netlist content (ports and instantiated primitive cell types) line up with the medium-effort synthesis results, and what area, delay, and gate count does that netlist produce?\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"reg5\",\n \"port_count\": {\n \"inputs\": 2,\n \"outputs\": 1,\n \"inouts\": 0,\n \"total\": 3\n },\n \"signal_count\": {\n \"wires\": 4,\n \"regs\": 0,\n \"parameters\": 0,\n \"total\": 4\n },\n \"always_blocks\": 0,\n \"assign_statements\": 0,\n \"instantiations\": [\n \"snl_ffqx1\",\n \"snl_bufx1\",\n \"snl_and02x1\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 25,\n \"total_lines\": 29,\n \"cyclomatic_complexity\": 2,\n \"nesting_depth\": 0,\n \"operator_count\": 2\n },\n \"lint_warnings\": [],\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 5.0,\n \"delay\": 81.03,\n \"power\": 0.005,\n \"gate_count\": 5,\n \"cell_breakdown\": {\n \"snl_and02x1\": 1,\n \"snl_bufx1\": 1,\n \"snl_ffqx1\": 3\n },\n \"wire_count\": 7,\n \"wire_bits\": 10,\n \"critical_path_estimate\": 81.03,\n...[1126 chars elided]...\n \"error\": null\n}", "plan_id": "ca9a45aad591", "design_id": "9ee58486626b", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/The-OpenROAD-Project/OpenROAD", "commit": "3e3e483a4e3f98e2b5470b272040699de6dedbee", "path": "src/dbSta/test/reg5.v", "sha256": "d1242a304f16cd8af93287904a4442a1057bef2443d068dc05965b6b5b49c619"}} {"question": "For NV_NVDLA_CACC_CALC_int16, how well does the RTL line up with the synthesized netlist, and is that consistent with the design's code complexity and the medium-effort synthesis result? Please give the RTL-to-netlist alignment score, the cyclomatic complexity and the number of always blocks, and the synthesized area, delay and gate count.", "answer": "NV_NVDLA_CACC_CALC_int16 has an RTL-to-netlist alignment score of 81.67, with 49 of 60 RTL signals mapped and 11 unmapped, including out_final_data and out_partial_valid. The RTL is fairly complex, with a cyclomatic complexity of 84 across 14 always blocks and 34 assign statements. At medium optimization it synthesizes to 1915 gates with an area of 2610.5 and a delay of 536.12, and NAND cells make up most of the logic at 763.", "source_file": "github_repos/nvdla_hw/vmod/nvdla/cacc/NV_NVDLA_CACC_CALC_int16.v", "module_name": "NV_NVDLA_CACC_CALC_int16", "tool_name": "cross_stage_mapper+static_analyzer+synthesis_tool", "tool_parameters": [{}, {"analysis_type": "full"}, {"optimization_level": "medium"}], "tool_result": "[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"i_vld\": [\n \"i_vld\"\n ],\n \"i_final_vld\": [\n \"i_final_vld\"\n ],\n \"i_sat_pd\": [\n \"i_sat_pd\",\n \"i_sat_pd3\"\n ],\n \"i_hsame_sign\": [\n \"i_hsame_sign\"\n ],\n \"i_hsum_pd\": [\n \"i_hsum_pd_\n...[2359 chars elided]...\n\n \"di_sign_d\": [],\n \"funcpoint_cover_off\": [],\n \"i_sft_need_sat\": [\n \"i_sft_need_sat\"\n ]\n },\n \"alignment_score\": 81.67,\n \"unmapped_elements\": [\n \"out_partial_valid\",\n \"in_hsb_same_d\",\n \"i_sat_sel\",\n \"i_sat_vld\",\n \"out_final_data\",\n \"oi_sign_d\",\n \"out_final_valid\",\n \"out_final_sat\",\n \"out_partial_data\",\n \"di_sign_d\",\n \"funcpoint_cover_off\"\n ],\n \"mapping_statistics\": {\n \"rtl_signals\": 60,\n \"netlist_wires\": 2844,\n \"netlist_cells\": 0,\n \"mapped_signals\": 49,\n \"unmapped_signals\": 11\n },\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"NV_NVDLA_CACC_CALC_int16\",\n \"port_count\": {\n \"inputs\": 8,\n \"outputs\": 5,\n \"inouts\": 0,\n \"total\": 13\n },\n \"signal_count\": {\n \"wires\": 37,\n \"regs\": 15,\n \"parameters\": 0,\n \"total\": 52\n },\n \"always_blocks\": 14,\n \"assign_statements\": 34,\n \"instantiations\": [\n \"define\",\n \"cover\",\n \"disable\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 415,\n \"total_lines\": 620,\n \"cyclomatic_complexity\": 84,\n \"nesting_depth\": 61,\n \"operator_count\": 949\n },\n \"lint_warnings\": [],\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 2610.5,\n \"delay\": 536.12,\n \"power\": 1.915,\n \"gate_count\": 1915,\n \"cell_breakdown\": {\n \"$_ANDNOT_\": 56,\n \"$_AND_\": 531,\n \"$_DFFE_PN0P_\": 4,\n \"$_DFFE_PP_\": 130,\n \"$_DFF_PN0_\": 4,\n \"$_NAND_\": 763,\n \"$_NOR_\": 20,\n \"$_NOT_\": 12,\n...[1803 chars elided]...\n \"error\": null\n}", "category": "multi_tool", "subcategory": "cross_stage_mapper+static_analyzer+synthesis_tool", "difficulty": "compositional", "question_hash": "c3554e89ed97", "stage1_target": "[{\"tool\": \"cross_stage_mapper\", \"parameters\": {}}, {\"tool\": \"static_analyzer\", \"parameters\": {\"analysis_type\": \"full\"}}, {\"tool\": \"synthesis_tool\", \"parameters\": {\"optimization_level\": \"medium\"}}]", "stage2_context": "Question: For NV_NVDLA_CACC_CALC_int16, how well does the RTL line up with the synthesized netlist, and is that consistent with the design's code complexity and the medium-effort synthesis result? Please give the RTL-to-netlist alignment score, the cyclomatic complexity and the number of always blocks, and the synthesized area, delay and gate count.\n\n[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"i_vld\": [\n \"i_vld\"\n ],\n \"i_final_vld\": [\n \"i_final_vld\"\n ],\n \"i_sat_pd\": [\n \"i_sat_pd\",\n \"i_sat_pd3\"\n ],\n \"i_hsame_sign\": [\n \"i_hsame_sign\"\n ],\n \"i_hsum_pd\": [\n \"i_hsum_pd_\n...[2359 chars elided]...\n\n \"di_sign_d\": [],\n \"funcpoint_cover_off\": [],\n \"i_sft_need_sat\": [\n \"i_sft_need_sat\"\n ]\n },\n \"alignment_score\": 81.67,\n \"unmapped_elements\": [\n \"out_partial_valid\",\n \"in_hsb_same_d\",\n \"i_sat_sel\",\n \"i_sat_vld\",\n \"out_final_data\",\n \"oi_sign_d\",\n \"out_final_valid\",\n \"out_final_sat\",\n \"out_partial_data\",\n \"di_sign_d\",\n \"funcpoint_cover_off\"\n ],\n \"mapping_statistics\": {\n \"rtl_signals\": 60,\n \"netlist_wires\": 2844,\n \"netlist_cells\": 0,\n \"mapped_signals\": 49,\n \"unmapped_signals\": 11\n },\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"NV_NVDLA_CACC_CALC_int16\",\n \"port_count\": {\n \"inputs\": 8,\n \"outputs\": 5,\n \"inouts\": 0,\n \"total\": 13\n },\n \"signal_count\": {\n \"wires\": 37,\n \"regs\": 15,\n \"parameters\": 0,\n \"total\": 52\n },\n \"always_blocks\": 14,\n \"assign_statements\": 34,\n \"instantiations\": [\n \"define\",\n \"cover\",\n \"disable\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 415,\n \"total_lines\": 620,\n \"cyclomatic_complexity\": 84,\n \"nesting_depth\": 61,\n \"operator_count\": 949\n },\n \"lint_warnings\": [],\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 2610.5,\n \"delay\": 536.12,\n \"power\": 1.915,\n \"gate_count\": 1915,\n \"cell_breakdown\": {\n \"$_ANDNOT_\": 56,\n \"$_AND_\": 531,\n \"$_DFFE_PN0P_\": 4,\n \"$_DFFE_PP_\": 130,\n \"$_DFF_PN0_\": 4,\n \"$_NAND_\": 763,\n \"$_NOR_\": 20,\n \"$_NOT_\": 12,\n...[1803 chars elided]...\n \"error\": null\n}", "plan_id": "51ad78da039c", "design_id": "9f92eb6f46bb", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 3, "ctx_cap": 3300, "source": {"repository": "https://github.com/nvdla/hw", "commit": "8e06b1b9d85aab65b40d43d08eec5ea4681ff715", "path": "vmod/nvdla/cacc/NV_NVDLA_CACC_CALC_int16.v", "sha256": "9df1be2c11cf59d7fc03ee71f457d9c28796042304d8f3231a7d54c1799e9ac3"}} {"question": "For nv_ram_rwsthp_80x15, the RTL-to-netlist mapping leaves many of the shadow memory rows unmapped. Given how well RTL and netlist line up, does it make sense to apply the area-targeted optimization flow with memory inference, and what area gain can I expect from it?", "answer": "In nv_ram_rwsthp_80x15, only 67 of 156 RTL signals map to the netlist, leaving 89 unmapped, and many of those are shadow_mem_row registers like shadow_mem_row79. That gives an alignment score of just 42.95, so the memory array isn't being kept as real netlist storage. That makes the area-targeted flow's memory-inference suggestion ('memory -nomap; memory_bram') worth trying, with an estimated area change of -15.0 traded against a delay change of 5.0.", "source_file": "github_repos/nvdla_hw/vmod/rams/synth/nv_ram_rwsthp_80x15.v", "module_name": "nv_ram_rwsthp_80x15", "tool_name": "cross_stage_mapper+optimization_advisor", "tool_parameters": [{}, {"target_metric": "area"}], "tool_result": "[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"mbist_en_sync\": [\n \"mbist_en_sync\",\n \"pre_mbist_en_sync\"\n ],\n \"shadow_mem_row79\": [],\n \"mbist_ce_r0\": [\n \"mbist_ce_r0\",\n \"pre_mbist_ce_r0\"\n ],\n \"shadow_mem_row29\": [],\n \"shadow_mem_row68\": [],\n \"shadow_mem_row8\": [],\n \"shadow_mem_row47\": [],\n \"pre_mbist_ce_r0\": [\n \"pre_mbist_ce_r0\"\n ],\n \"string\": [],\n \"pre_scan_en\n...[6224 chars elided]...\n5\",\n \"pre_mbist_Wa_w0_4\",\n \"pre_mbist_Wa_w0_3\"\n ],\n \"iddq_mode\": [\n \"pre_iddq_mode\",\n \"iddq_mode\"\n ],\n \"shadow_mem_row39\": [],\n \"shadow_mem_row0\": []\n },\n \"alignment_score\": 42.95,\n \"unmapped_elements\": [\n \"shadow_mem_row79\",\n \"shadow_mem_row29\",\n \"shadow_mem_row68\",\n \"shadow_mem_row8\",\n \"shadow_mem_row47\",\n \"string\",\n \"shadow_mem_row69\",\n \"shadow_mem_row6\",\n \"shadow_mem_row41\",\n \"shadow_mem_row56\",\n \"integer\",\n \"shadow_mem_row38\",\n \"shadow_mem_row23\",\n \"disable_clear_mem\",\n \"shadow_mem_row35\",\n \"shadow_mem_row25\",\n \"shadow_mem_row78\",\n \"shadow_mem_row9\",\n \"random_num\",\n \"shadow_mem_row46\"\n ],\n \"mapping_statistics\": {\n \"rtl_signals\": 156,\n \"netlist_wires\": 66,\n \"netlist_cells\": 0,\n \"mapped_signals\": 67,\n \"unmapped_signals\": 89\n },\n \"error\": null\n}\n\n[optimization_advisor {\"target_metric\": \"area\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"area\",\n \"recommended_recipes\": [\n \"synth -top nv_ram_rwsthp_80x15 -flatten\",\n \"opt -full; share -aggressive; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean -purge\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"memory_optimization\",\n \"description\": \"Consider using memory inference for large arrays\",\n \"command\": \"memory -nomap; memory_bram\"\n },\n {\n \"type\": \"mux_optimization\",\n \"description\": \"Share multiplexers where possible\",\n \"command\": \"muxcover; opt\"\n },\n {\n \"type\": \"resource_sharing\",\n \"description\": \"Share arithmetic operators\",\n \"command\": \"share -aggressive\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": -15.0,\n \"delay\": 5.0,\n \"power\": -10.0\n },\n \"trade_offs\": [\n \"Area optimization may increase delay\",\n \"Aggressive sharing increases routing complexity\"\n ],\n \"error\": null\n}", "category": "multi_tool", "subcategory": "cross_stage_mapper+optimization_advisor", "difficulty": "compositional", "question_hash": "bca65f1d5f7a", "stage1_target": "[{\"tool\": \"cross_stage_mapper\", \"parameters\": {}}, {\"tool\": \"optimization_advisor\", \"parameters\": {\"target_metric\": \"area\"}}]", "stage2_context": "Question: For nv_ram_rwsthp_80x15, the RTL-to-netlist mapping leaves many of the shadow memory rows unmapped. Given how well RTL and netlist line up, does it make sense to apply the area-targeted optimization flow with memory inference, and what area gain can I expect from it?\n\n[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"mbist_en_sync\": [\n \"mbist_en_sync\",\n \"pre_mbist_en_sync\"\n ],\n \"shadow_mem_row79\": [],\n \"mbist_ce_r0\": [\n \"mbist_ce_r0\",\n \"pre_mbist_ce_r0\"\n ],\n \"shadow_mem_row29\": [],\n \"shadow_mem_row68\": [],\n \"shadow_mem_row8\": [],\n \"shadow_mem_row47\": [],\n \"pre_mbist_ce_r0\": [\n \"pre_mbist_ce_r0\"\n ],\n \"string\": [],\n \"pre_scan_en\n...[6224 chars elided]...\n5\",\n \"pre_mbist_Wa_w0_4\",\n \"pre_mbist_Wa_w0_3\"\n ],\n \"iddq_mode\": [\n \"pre_iddq_mode\",\n \"iddq_mode\"\n ],\n \"shadow_mem_row39\": [],\n \"shadow_mem_row0\": []\n },\n \"alignment_score\": 42.95,\n \"unmapped_elements\": [\n \"shadow_mem_row79\",\n \"shadow_mem_row29\",\n \"shadow_mem_row68\",\n \"shadow_mem_row8\",\n \"shadow_mem_row47\",\n \"string\",\n \"shadow_mem_row69\",\n \"shadow_mem_row6\",\n \"shadow_mem_row41\",\n \"shadow_mem_row56\",\n \"integer\",\n \"shadow_mem_row38\",\n \"shadow_mem_row23\",\n \"disable_clear_mem\",\n \"shadow_mem_row35\",\n \"shadow_mem_row25\",\n \"shadow_mem_row78\",\n \"shadow_mem_row9\",\n \"random_num\",\n \"shadow_mem_row46\"\n ],\n \"mapping_statistics\": {\n \"rtl_signals\": 156,\n \"netlist_wires\": 66,\n \"netlist_cells\": 0,\n \"mapped_signals\": 67,\n \"unmapped_signals\": 89\n },\n \"error\": null\n}\n\n[optimization_advisor {\"target_metric\": \"area\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"area\",\n \"recommended_recipes\": [\n \"synth -top nv_ram_rwsthp_80x15 -flatten\",\n \"opt -full; share -aggressive; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean -purge\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"memory_optimization\",\n \"description\": \"Consider using memory inference for large arrays\",\n \"command\": \"memory -nomap; memory_bram\"\n },\n {\n \"type\": \"mux_optimization\",\n \"description\": \"Share multiplexers where possible\",\n \"command\": \"muxcover; opt\"\n },\n {\n \"type\": \"resource_sharing\",\n \"description\": \"Share arithmetic operators\",\n \"command\": \"share -aggressive\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": -15.0,\n \"delay\": 5.0,\n \"power\": -10.0\n },\n \"trade_offs\": [\n \"Area optimization may increase delay\",\n \"Aggressive sharing increases routing complexity\"\n ],\n \"error\": null\n}", "plan_id": "d2ebd0ff405a", "design_id": "a0720456c762", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/nvdla/hw", "commit": "8e06b1b9d85aab65b40d43d08eec5ea4681ff715", "path": "vmod/rams/synth/nv_ram_rwsthp_80x15.v", "sha256": "bbd3f23c105b4b96239d70a5b5e2c2e5084f87b2474b1a6cd29a2544a641df03"}} {"question": "For adv_timer_apb_if, how well do the RTL signals line up with the synthesized netlist, and if I run an area-focused optimization flow on it, what area gain should I expect and what does it cost in delay? Could that optimization make the RTL-to-netlist correspondence even harder to trace?", "answer": "In adv_timer_apb_if, only 135 of 260 RTL signals map onto the netlist (alignment score 51.92, with 125 unmapped, mostly internal registers such as r_timer2_presc and r_event_en). The area-targeted flow (flatten, share -aggressive, muxcover) is estimated to change area by -15.0 and delay by 5.0. Flattening and aggressive resource sharing will likely merge or rename more internal registers, so the correspondence could get worse.", "source_file": "github_repos/riscv-mcu_e203_hbirdv2/rtl/e203/perips/apb_adv_timer/adv_timer_apb_if.v", "module_name": "adv_timer_apb_if", "tool_name": "cross_stage_mapper+optimization_advisor", "tool_parameters": [{}, {"target_metric": "area"}], "tool_result": "[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"timer0_ch2_lut_o\": [\n \"timer0_ch2_lut_o\"\n ],\n \"r_timer2_ch2_lut\": [],\n \"r_timer2_ch0_mode\": [],\n \"timer1_stop_o\": [\n \"timer1_stop_o\"\n ],\n \"r_timer0_in_clk\": [],\n \"r_timer2_presc\": [],\n \"PSEL\": [\n \"PSEL\"\n ],\n \"timer1_ch1_flt_o\": [\n \"timer1_ch1_flt_o\"\n ],\n \"timer2_ch1_lut_o\": [\n \"timer2_ch1_lut_o\"\n ],\n \"timer3\n...[10196 chars elided]...\n ],\n \"r_timer3_ch1_th\": [],\n \"r_timer0_ch2_flt\": [],\n \"s_timer3_apb_stop\": [],\n \"timer0_th_low_o\": [\n \"timer0_th_low_o\"\n ],\n \"PENABLE\": [\n \"PENABLE\"\n ]\n },\n \"alignment_score\": 51.92,\n \"unmapped_elements\": [\n \"r_timer2_ch2_lut\",\n \"r_timer2_ch0_mode\",\n \"r_timer0_in_clk\",\n \"r_timer2_presc\",\n \"r_event_en\",\n \"r_timer2_rst\",\n \"r_timer3_in_clk\",\n \"r_timer1_ch1_th\",\n \"r_timer1_ch2_th\",\n \"r_timer2_in_sel\",\n \"r_timer0_arm\",\n \"r_timer2_stop\",\n \"r_timer2_th\",\n \"r_timer0_ch3_mode\",\n \"r_timer0_ch0_flt\",\n \"r_event_sel_0\",\n \"s_timer2_apb_start\",\n \"s_timer1_apb_stop\",\n \"r_timer3_start\",\n \"r_timer2_ch3_flt\"\n ],\n \"mapping_statistics\": {\n \"rtl_signals\": 260,\n \"netlist_wires\": 8041,\n \"netlist_cells\": 0,\n \"mapped_signals\": 135,\n \"unmapped_signals\": 125\n },\n \"error\": null\n}\n\n[optimization_advisor {\"target_metric\": \"area\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"area\",\n \"recommended_recipes\": [\n \"synth -top adv_timer_apb_if -flatten\",\n \"opt -full; share -aggressive; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean -purge\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"mux_optimization\",\n \"description\": \"Share multiplexers where possible\",\n \"command\": \"muxcover; opt\"\n },\n {\n \"type\": \"resource_sharing\",\n \"description\": \"Share arithmetic operators\",\n \"command\": \"share -aggressive\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": -15.0,\n \"delay\": 5.0,\n \"power\": -10.0\n },\n \"trade_offs\": [\n \"Area optimization may increase delay\",\n \"Aggressive sharing increases routing complexity\"\n ],\n \"error\": null\n}", "category": "multi_tool", "subcategory": "cross_stage_mapper+optimization_advisor", "difficulty": "compositional", "question_hash": "7e2cb7cdc800", "stage1_target": "[{\"tool\": \"cross_stage_mapper\", \"parameters\": {}}, {\"tool\": \"optimization_advisor\", \"parameters\": {\"target_metric\": \"area\"}}]", "stage2_context": "Question: For adv_timer_apb_if, how well do the RTL signals line up with the synthesized netlist, and if I run an area-focused optimization flow on it, what area gain should I expect and what does it cost in delay? Could that optimization make the RTL-to-netlist correspondence even harder to trace?\n\n[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"timer0_ch2_lut_o\": [\n \"timer0_ch2_lut_o\"\n ],\n \"r_timer2_ch2_lut\": [],\n \"r_timer2_ch0_mode\": [],\n \"timer1_stop_o\": [\n \"timer1_stop_o\"\n ],\n \"r_timer0_in_clk\": [],\n \"r_timer2_presc\": [],\n \"PSEL\": [\n \"PSEL\"\n ],\n \"timer1_ch1_flt_o\": [\n \"timer1_ch1_flt_o\"\n ],\n \"timer2_ch1_lut_o\": [\n \"timer2_ch1_lut_o\"\n ],\n \"timer3\n...[10196 chars elided]...\n ],\n \"r_timer3_ch1_th\": [],\n \"r_timer0_ch2_flt\": [],\n \"s_timer3_apb_stop\": [],\n \"timer0_th_low_o\": [\n \"timer0_th_low_o\"\n ],\n \"PENABLE\": [\n \"PENABLE\"\n ]\n },\n \"alignment_score\": 51.92,\n \"unmapped_elements\": [\n \"r_timer2_ch2_lut\",\n \"r_timer2_ch0_mode\",\n \"r_timer0_in_clk\",\n \"r_timer2_presc\",\n \"r_event_en\",\n \"r_timer2_rst\",\n \"r_timer3_in_clk\",\n \"r_timer1_ch1_th\",\n \"r_timer1_ch2_th\",\n \"r_timer2_in_sel\",\n \"r_timer0_arm\",\n \"r_timer2_stop\",\n \"r_timer2_th\",\n \"r_timer0_ch3_mode\",\n \"r_timer0_ch0_flt\",\n \"r_event_sel_0\",\n \"s_timer2_apb_start\",\n \"s_timer1_apb_stop\",\n \"r_timer3_start\",\n \"r_timer2_ch3_flt\"\n ],\n \"mapping_statistics\": {\n \"rtl_signals\": 260,\n \"netlist_wires\": 8041,\n \"netlist_cells\": 0,\n \"mapped_signals\": 135,\n \"unmapped_signals\": 125\n },\n \"error\": null\n}\n\n[optimization_advisor {\"target_metric\": \"area\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"area\",\n \"recommended_recipes\": [\n \"synth -top adv_timer_apb_if -flatten\",\n \"opt -full; share -aggressive; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean -purge\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"mux_optimization\",\n \"description\": \"Share multiplexers where possible\",\n \"command\": \"muxcover; opt\"\n },\n {\n \"type\": \"resource_sharing\",\n \"description\": \"Share arithmetic operators\",\n \"command\": \"share -aggressive\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": -15.0,\n \"delay\": 5.0,\n \"power\": -10.0\n },\n \"trade_offs\": [\n \"Area optimization may increase delay\",\n \"Aggressive sharing increases routing complexity\"\n ],\n \"error\": null\n}", "plan_id": "804006c8f813", "design_id": "a0b512fa0a9c", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/riscv-mcu/e203_hbirdv2", "commit": "9f3e34f337f5d0a1236a285871ffa2032491617a", "path": "rtl/e203/perips/apb_adv_timer/adv_timer_apb_if.v", "sha256": "4d371d76d13a66a2d899101703cdb04bf2f09ce8280ec287c4bcc096536ccbe8"}} {"question": "For nv_ram_rws_32x16, how well do the RTL signals line up with the synthesized netlist, and given that alignment, how much power reduction could we expect from a power-targeted optimization pass, and do the suggested techniques make sense for the shadow memory rows?", "answer": "The RTL-to-netlist alignment score for nv_ram_rws_32x16 is 58.59, with 58 signals mapped and 41 unmapped, including shadow memory rows such as shadow_mem_row21 and shadow_mem_row0 that have no netlist match. The power-targeted optimization estimates a power change of -25.0 at a cost of 5.0 area and 5.0 delay, using clock gating ('clockgate') and memory banking ('memory_share'). Because the shadow memory rows do not appear in the netlist, check that the memory is actually kept before relying on memory banking to save power.", "source_file": "github_repos/nvdla_hw/vmod/rams/synth/nv_ram_rws_32x16.v", "module_name": "nv_ram_rws_32x16", "tool_name": "cross_stage_mapper+optimization_advisor", "tool_parameters": [{}, {"target_metric": "power"}], "tool_result": "[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"shadow_mem_row21\": [],\n \"mbist_en_sync\": [\n \"mbist_en_sync\",\n \"pre_mbist_en_sync\"\n ],\n \"di\": [\n \"di\"\n ],\n \"row\": [],\n \"mbist_ce_r0\": [\n \"mbist_ce_r0\",\n \"pre_mbist_ce_r0\"\n ],\n \"shadow_mem_row29\": [],\n \"shadow_mem_row5\": [],\n \"shadow_mem_row8\": [],\n \"ra\": [\n \"pre_mbist_ramaccess_rst_\",\n \"ra\",\n \"pre_scan_\n...[4396 chars elided]...\n\"pre_mbist_Wa_w0_4\",\n \"pre_mbist_Wa_w0_3\",\n \"pre_mbist_Wa_w0_2\",\n \"pre_mbist_Wa_w0_1\"\n ],\n \"iddq_mode\": [\n \"pre_iddq_mode\",\n \"iddq_mode\"\n ],\n \"shadow_mem_row0\": []\n },\n \"alignment_score\": 58.59,\n \"unmapped_elements\": [\n \"shadow_mem_row21\",\n \"row\",\n \"shadow_mem_row29\",\n \"shadow_mem_row5\",\n \"shadow_mem_row8\",\n \"string\",\n \"shadow_mem_row20\",\n \"shadow_mem\",\n \"shadow_mem_row6\",\n \"shadow_mem_row19\",\n \"shadow_mem_row17\",\n \"shadow_mem_row13\",\n \"integer\",\n \"shadow_mem_row23\",\n \"disable_clear_mem\",\n \"shadow_mem_row18\",\n \"shadow_mem_row14\",\n \"shadow_mem_row1\",\n \"shadow_mem_row25\",\n \"shadow_mem_row2\"\n ],\n \"mapping_statistics\": {\n \"rtl_signals\": 99,\n \"netlist_wires\": 57,\n \"netlist_cells\": 0,\n \"mapped_signals\": 58,\n \"unmapped_signals\": 41\n },\n \"error\": null\n}\n\n[optimization_advisor {\"target_metric\": \"power\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"power\",\n \"recommended_recipes\": [\n \"synth -top nv_ram_rws_32x16\",\n \"opt; share; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean; clockgate\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"clock_gating\",\n \"description\": \"Insert clock gating for registers\",\n \"command\": \"clockgate\"\n },\n {\n \"type\": \"memory_banking\",\n \"description\": \"Bank memories to reduce active area\",\n \"command\": \"memory_share\"\n },\n {\n \"type\": \"operand_isolation\",\n \"description\": \"Isolate operands when not in use\",\n \"command\": \"Use enable signals for arithmetic\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": 5.0,\n \"delay\": 5.0,\n \"power\": -25.0\n },\n \"trade_offs\": [\n \"Power optimization may add area overhead\",\n \"Clock gating adds timing complexity\"\n ],\n \"error\": null\n}", "category": "multi_tool", "subcategory": "cross_stage_mapper+optimization_advisor", "difficulty": "compositional", "question_hash": "ba2835ae7b9a", "stage1_target": "[{\"tool\": \"cross_stage_mapper\", \"parameters\": {}}, {\"tool\": \"optimization_advisor\", \"parameters\": {\"target_metric\": \"power\"}}]", "stage2_context": "Question: For nv_ram_rws_32x16, how well do the RTL signals line up with the synthesized netlist, and given that alignment, how much power reduction could we expect from a power-targeted optimization pass, and do the suggested techniques make sense for the shadow memory rows?\n\n[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"shadow_mem_row21\": [],\n \"mbist_en_sync\": [\n \"mbist_en_sync\",\n \"pre_mbist_en_sync\"\n ],\n \"di\": [\n \"di\"\n ],\n \"row\": [],\n \"mbist_ce_r0\": [\n \"mbist_ce_r0\",\n \"pre_mbist_ce_r0\"\n ],\n \"shadow_mem_row29\": [],\n \"shadow_mem_row5\": [],\n \"shadow_mem_row8\": [],\n \"ra\": [\n \"pre_mbist_ramaccess_rst_\",\n \"ra\",\n \"pre_scan_\n...[4396 chars elided]...\n\"pre_mbist_Wa_w0_4\",\n \"pre_mbist_Wa_w0_3\",\n \"pre_mbist_Wa_w0_2\",\n \"pre_mbist_Wa_w0_1\"\n ],\n \"iddq_mode\": [\n \"pre_iddq_mode\",\n \"iddq_mode\"\n ],\n \"shadow_mem_row0\": []\n },\n \"alignment_score\": 58.59,\n \"unmapped_elements\": [\n \"shadow_mem_row21\",\n \"row\",\n \"shadow_mem_row29\",\n \"shadow_mem_row5\",\n \"shadow_mem_row8\",\n \"string\",\n \"shadow_mem_row20\",\n \"shadow_mem\",\n \"shadow_mem_row6\",\n \"shadow_mem_row19\",\n \"shadow_mem_row17\",\n \"shadow_mem_row13\",\n \"integer\",\n \"shadow_mem_row23\",\n \"disable_clear_mem\",\n \"shadow_mem_row18\",\n \"shadow_mem_row14\",\n \"shadow_mem_row1\",\n \"shadow_mem_row25\",\n \"shadow_mem_row2\"\n ],\n \"mapping_statistics\": {\n \"rtl_signals\": 99,\n \"netlist_wires\": 57,\n \"netlist_cells\": 0,\n \"mapped_signals\": 58,\n \"unmapped_signals\": 41\n },\n \"error\": null\n}\n\n[optimization_advisor {\"target_metric\": \"power\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"power\",\n \"recommended_recipes\": [\n \"synth -top nv_ram_rws_32x16\",\n \"opt; share; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean; clockgate\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"clock_gating\",\n \"description\": \"Insert clock gating for registers\",\n \"command\": \"clockgate\"\n },\n {\n \"type\": \"memory_banking\",\n \"description\": \"Bank memories to reduce active area\",\n \"command\": \"memory_share\"\n },\n {\n \"type\": \"operand_isolation\",\n \"description\": \"Isolate operands when not in use\",\n \"command\": \"Use enable signals for arithmetic\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": 5.0,\n \"delay\": 5.0,\n \"power\": -25.0\n },\n \"trade_offs\": [\n \"Power optimization may add area overhead\",\n \"Clock gating adds timing complexity\"\n ],\n \"error\": null\n}", "plan_id": "452f5f402b70", "design_id": "a23f1aecf34c", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/nvdla/hw", "commit": "8e06b1b9d85aab65b40d43d08eec5ea4681ff715", "path": "vmod/rams/synth/nv_ram_rws_32x16.v", "sha256": "7937430cdf48d84a19ef0bf304ce3f324bc7e4cdcb6e41274024a416f402db44"}} {"question": "For the p_SSYNC3DO_S_PPP synchronizer, does the synthesized result agree with what the source structure suggests? Specifically, how does the single always block and the 'first_stage_of_sync' instantiation found in the RTL relate to the number and type of flip-flops produced by medium-effort synthesis, and what area and delay did synthesis report?", "answer": "The p_SSYNC3DO_S_PPP RTL has 1 always block and a 'first_stage_of_sync' instantiation, with 3 inputs and 1 output. Medium-effort synthesis turns this into 3 $_DFF_PN1_ cells, i.e. a three-flop synchronizer with an active-low asynchronous set, with no other logic. Synthesis reported an area of 3.0 and a delay of 69.52.", "source_file": "github_repos/nvdla_hw/vmod/vlibs/p_SSYNC3DO_S_PPP.v", "module_name": "p_SSYNC3DO_S_PPP", "tool_name": "static_analyzer+synthesis_tool", "tool_parameters": [{"analysis_type": "full"}, {"optimization_level": "medium"}], "tool_result": "[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"p_SSYNC3DO_S_PPP\",\n \"port_count\": {\n \"inputs\": 3,\n \"outputs\": 1,\n \"inouts\": 0,\n \"total\": 4\n },\n \"signal_count\": {\n \"wires\": 0,\n \"regs\": 1,\n \"parameters\": 1,\n \"total\": 1\n },\n \"always_blocks\": 1,\n \"assign_statements\": 0,\n \"instantiations\": [\n \"first_stage_of_sync\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 23,\n \"total_lines\": 43,\n \"cyclomatic_complexity\": 4,\n \"nesting_depth\": 1,\n \"operator_count\": 194\n },\n \"lint_warnings\": [],\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 3.0,\n \"delay\": 69.52,\n \"power\": 0.003,\n \"gate_count\": 3,\n \"cell_breakdown\": {\n \"$_DFF_PN1_\": 3\n },\n \"wire_count\": 6,\n \"wire_bits\": 6,\n \"critical_path_estimate\": 69.52,\n...[1078 chars elided]...\n \"error\": null\n}", "category": "multi_tool", "subcategory": "static_analyzer+synthesis_tool", "difficulty": "compositional", "question_hash": "fd40c6f388cd", "stage1_target": "[{\"tool\": \"static_analyzer\", \"parameters\": {\"analysis_type\": \"full\"}}, {\"tool\": \"synthesis_tool\", \"parameters\": {\"optimization_level\": \"medium\"}}]", "stage2_context": "Question: For the p_SSYNC3DO_S_PPP synchronizer, does the synthesized result agree with what the source structure suggests? Specifically, how does the single always block and the 'first_stage_of_sync' instantiation found in the RTL relate to the number and type of flip-flops produced by medium-effort synthesis, and what area and delay did synthesis report?\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"p_SSYNC3DO_S_PPP\",\n \"port_count\": {\n \"inputs\": 3,\n \"outputs\": 1,\n \"inouts\": 0,\n \"total\": 4\n },\n \"signal_count\": {\n \"wires\": 0,\n \"regs\": 1,\n \"parameters\": 1,\n \"total\": 1\n },\n \"always_blocks\": 1,\n \"assign_statements\": 0,\n \"instantiations\": [\n \"first_stage_of_sync\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 23,\n \"total_lines\": 43,\n \"cyclomatic_complexity\": 4,\n \"nesting_depth\": 1,\n \"operator_count\": 194\n },\n \"lint_warnings\": [],\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 3.0,\n \"delay\": 69.52,\n \"power\": 0.003,\n \"gate_count\": 3,\n \"cell_breakdown\": {\n \"$_DFF_PN1_\": 3\n },\n \"wire_count\": 6,\n \"wire_bits\": 6,\n \"critical_path_estimate\": 69.52,\n...[1078 chars elided]...\n \"error\": null\n}", "plan_id": "85ebb19af575", "design_id": "a445d3234df7", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/nvdla/hw", "commit": "8e06b1b9d85aab65b40d43d08eec5ea4681ff715", "path": "vmod/vlibs/p_SSYNC3DO_S_PPP.v", "sha256": "0dbd83682036e00bb97aa92d713a8da5baba38d7f1824c93568d2da8ba82dbce"}} {"question": "For servclone10_clock_gen, the medium-effort synthesis gives an area of 14.5 and a delay of 117.67 with 9 $_SDFF_PN1_ cells and one cyclone10lp_pll. Given that, how much would the recommended area-targeted optimization change things, and what would the cost be in timing?", "answer": "servclone10_clock_gen currently synthesizes to an area of 14.5 and a delay of 117.67 across 12 cells, 9 of which are $_SDFF_PN1_ flops alongside a single cyclone10lp_pll. The area-targeted flow (flatten, opt -full with share -aggressive, abc mapping, opt_clean -purge) is estimated to cut area by -15.0 and power by -10.0. The trade-off is a delay increase of 5.0 on top of the 117.67 critical path, plus more routing complexity from the aggressive sharing.", "source_file": "github_repos/olofk_serv/servant/servclone10_clock_gen.v", "module_name": "servclone10_clock_gen", "tool_name": "optimization_advisor+synthesis_tool", "tool_parameters": [{"target_metric": "area"}, {"optimization_level": "medium"}], "tool_result": "[optimization_advisor {\"target_metric\": \"area\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"area\",\n \"recommended_recipes\": [\n \"synth -top servclone10_clock_gen -flatten\",\n \"opt -full; share -aggressive; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean -purge\"\n ],\n \"optimization_suggestions\": [],\n \"estimated_improvement\": {\n \"area\": -15.0,\n \"delay\": 5.0,\n \"power\": -10.0\n },\n \"trade_offs\": [\n \"Area optimization may increase delay\",\n \"Aggressive sharing increases routing complexity\"\n ],\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 14.5,\n \"delay\": 117.67,\n \"power\": 0.012,\n \"gate_count\": 12,\n \"cell_breakdown\": {\n \"$_DFF_P_\": 1,\n \"$_NOT_\": 1,\n \"$_SDFF_PN1_\": 9,\n \"cyclone10lp_pll\": 1\n },\n \"wire_count\": 9,\n \"wire_bits\": 31,\n \"critical_path_estimate\": 117.67,\n...[1155 chars elided]...\n \"error\": null\n}", "category": "multi_tool", "subcategory": "optimization_advisor+synthesis_tool", "difficulty": "compositional", "question_hash": "89d407f66bf6", "stage1_target": "[{\"tool\": \"optimization_advisor\", \"parameters\": {\"target_metric\": \"area\"}}, {\"tool\": \"synthesis_tool\", \"parameters\": {\"optimization_level\": \"medium\"}}]", "stage2_context": "Question: For servclone10_clock_gen, the medium-effort synthesis gives an area of 14.5 and a delay of 117.67 with 9 $_SDFF_PN1_ cells and one cyclone10lp_pll. Given that, how much would the recommended area-targeted optimization change things, and what would the cost be in timing?\n\n[optimization_advisor {\"target_metric\": \"area\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"area\",\n \"recommended_recipes\": [\n \"synth -top servclone10_clock_gen -flatten\",\n \"opt -full; share -aggressive; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean -purge\"\n ],\n \"optimization_suggestions\": [],\n \"estimated_improvement\": {\n \"area\": -15.0,\n \"delay\": 5.0,\n \"power\": -10.0\n },\n \"trade_offs\": [\n \"Area optimization may increase delay\",\n \"Aggressive sharing increases routing complexity\"\n ],\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 14.5,\n \"delay\": 117.67,\n \"power\": 0.012,\n \"gate_count\": 12,\n \"cell_breakdown\": {\n \"$_DFF_P_\": 1,\n \"$_NOT_\": 1,\n \"$_SDFF_PN1_\": 9,\n \"cyclone10lp_pll\": 1\n },\n \"wire_count\": 9,\n \"wire_bits\": 31,\n \"critical_path_estimate\": 117.67,\n...[1155 chars elided]...\n \"error\": null\n}", "plan_id": "9a618a8037c9", "design_id": "a4c08d5be07e", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/olofk/serv", "commit": "f200eb2ed7b69ac1c6b8eddd47654522aeee5ce8", "path": "servant/servclone10_clock_gen.v", "sha256": "6118d1483b86992a6f4006f1a2ac9addbade1fe5111049b7d3a0c4052d35eb8f"}} {"question": "For up_down_counter, the RTL-to-netlist mapping did not resolve some of the register signals. Is that consistent with how the source code is structured? Please reconcile the mapping's alignment score and its unmapped registers with the module's register count, always-block count and cyclomatic complexity.", "answer": "In up_down_counter, the RTL-to-netlist mapping has an alignment score of 80.0, with 4 unmapped elements, including the registers r_sawtooth, r_direction and r_pending_update. That fits a design with 8 regs spread across 4 always blocks and a cyclomatic complexity of 28: some of these state registers are probably merged or renamed during synthesis, so they no longer match their RTL names, while 16 signals still map directly.", "source_file": "github_repos/riscv-mcu_e203_hbirdv2/rtl/e203/perips/apb_adv_timer/up_down_counter.v", "module_name": "up_down_counter", "tool_name": "cross_stage_mapper+static_analyzer", "tool_parameters": [{}, {"analysis_type": "full"}], "tool_result": "[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"ctrl_update_i\": [\n \"ctrl_update_i\"\n ],\n \"wire\": [],\n \"s_is_update\": [\n \"s_is_update\"\n ],\n \"cfg_sawtooth_i\": [\n \"cfg_sawtooth_i\"\n ],\n \"counter_evt_o\": [\n \"counter_evt_o\"\n ],\n \"counter_saw_o\": [\n \"counter_saw_o\"\n ],\n \"s_pending_update\": [\n \"s_pending_update\"\n ],\n \"s_sawtooth\": [\n \"s_sawtooth\"\n ],\n \"s_do_update\": [\n \"s_do_update\"\n ],\n \"r_sawtooth\": [],\n \"r_event\": [\n \"counter_event_i\"\n ],\n \"clk_i\": [\n \"clk_i\"\n ],\n \"s_direction\": [\n \"s_direction\"\n ],\n \"counter_event_i\": [\n \"counter_event_i\"\n ],\n \"ctrl_active_i\": [\n \"ctrl_active_i\"\n ],\n \"ctrl_rst_i\": [\n \"ctrl_rst_i\"\n ],\n \"counter_end_o\": [\n \"counter_end_o\"\n ],\n \"r_direction\": [],\n \"rstn_i\": [\n \"rstn_i\"\n ],\n \"r_pending_update\": []\n },\n \"alignment_score\": 80.0,\n \"unmapped_elements\": [\n \"wire\",\n \"r_sawtooth\",\n \"r_direction\",\n \"r_pending_update\"\n ],\n \"mapping_statistics\": {\n \"rtl_signals\": 20,\n \"netlist_wires\": 1488,\n \"netlist_cells\": 0,\n \"mapped_signals\": 16,\n \"unmapped_signals\": 4\n },\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"up_down_counter\",\n \"port_count\": {\n \"inputs\": 9,\n \"outputs\": 4,\n \"inouts\": 0,\n \"total\": 13\n },\n \"signal_count\": {\n \"wires\": 11,\n \"regs\": 8,\n \"parameters\": 1,\n \"total\": 19\n },\n \"always_blocks\": 4,\n \"assign_statements\": 5,\n \"instantiations\": [\n \"proc_r_event\",\n \"proc_r_counter\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 118,\n \"total_lines\": 155,\n \"cyclomatic_complexity\": 28,\n \"nesting_depth\": 23,\n \"operator_count\": 148\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "category": "multi_tool", "subcategory": "cross_stage_mapper+static_analyzer", "difficulty": "compositional", "question_hash": "aaefdba9ef62", "stage1_target": "[{\"tool\": \"cross_stage_mapper\", \"parameters\": {}}, {\"tool\": \"static_analyzer\", \"parameters\": {\"analysis_type\": \"full\"}}]", "stage2_context": "Question: For up_down_counter, the RTL-to-netlist mapping did not resolve some of the register signals. Is that consistent with how the source code is structured? Please reconcile the mapping's alignment score and its unmapped registers with the module's register count, always-block count and cyclomatic complexity.\n\n[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"ctrl_update_i\": [\n \"ctrl_update_i\"\n ],\n \"wire\": [],\n \"s_is_update\": [\n \"s_is_update\"\n ],\n \"cfg_sawtooth_i\": [\n \"cfg_sawtooth_i\"\n ],\n \"counter_evt_o\": [\n \"counter_evt_o\"\n ],\n \"counter_saw_o\": [\n \"counter_saw_o\"\n ],\n \"s_pending_update\": [\n \"s_pending_update\"\n ],\n \"s_sawtooth\": [\n \"s_sawtooth\"\n ],\n \"s_do_update\": [\n \"s_do_update\"\n ],\n \"r_sawtooth\": [],\n \"r_event\": [\n \"counter_event_i\"\n ],\n \"clk_i\": [\n \"clk_i\"\n ],\n \"s_direction\": [\n \"s_direction\"\n ],\n \"counter_event_i\": [\n \"counter_event_i\"\n ],\n \"ctrl_active_i\": [\n \"ctrl_active_i\"\n ],\n \"ctrl_rst_i\": [\n \"ctrl_rst_i\"\n ],\n \"counter_end_o\": [\n \"counter_end_o\"\n ],\n \"r_direction\": [],\n \"rstn_i\": [\n \"rstn_i\"\n ],\n \"r_pending_update\": []\n },\n \"alignment_score\": 80.0,\n \"unmapped_elements\": [\n \"wire\",\n \"r_sawtooth\",\n \"r_direction\",\n \"r_pending_update\"\n ],\n \"mapping_statistics\": {\n \"rtl_signals\": 20,\n \"netlist_wires\": 1488,\n \"netlist_cells\": 0,\n \"mapped_signals\": 16,\n \"unmapped_signals\": 4\n },\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"up_down_counter\",\n \"port_count\": {\n \"inputs\": 9,\n \"outputs\": 4,\n \"inouts\": 0,\n \"total\": 13\n },\n \"signal_count\": {\n \"wires\": 11,\n \"regs\": 8,\n \"parameters\": 1,\n \"total\": 19\n },\n \"always_blocks\": 4,\n \"assign_statements\": 5,\n \"instantiations\": [\n \"proc_r_event\",\n \"proc_r_counter\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 118,\n \"total_lines\": 155,\n \"cyclomatic_complexity\": 28,\n \"nesting_depth\": 23,\n \"operator_count\": 148\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "plan_id": "fd40f6a594a9", "design_id": "a53ea2294c94", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/riscv-mcu/e203_hbirdv2", "commit": "9f3e34f337f5d0a1236a285871ffa2032491617a", "path": "rtl/e203/perips/apb_adv_timer/up_down_counter.v", "sha256": "a987f14cd590e2a04696066c835bbb0f7f4602281f8bb9c61f2be14ccf44c6a5"}} {"question": "For servix_ebaz4205_clock_gen, the RTL-to-netlist mapping matched only some of its signals, and o_rst and locked_r did not map to any netlist name. Do the synthesized cell counts suggest that the reset logic was optimized away, or that it was kept under different names? Please also give the synthesized area and delay.", "answer": "In servix_ebaz4205_clock_gen, the mapping has an alignment score of 50.0 and lists locked_r and o_rst as unmapped, but the synthesized netlist still has 2 $_DFF_P_ cells and 1 $_NOT_ cell next to the PLLE2_BASE, so the reset synchronizer was most likely kept and renamed rather than removed. The synthesized design has an area of 9.5 and a delay of 140.2.", "source_file": "github_repos/olofk_serv/servant/servix_ebaz4205_clock_gen.v", "module_name": "servix_ebaz4205_clock_gen", "tool_name": "cross_stage_mapper+synthesis_tool", "tool_parameters": [{}, {"optimization_level": "medium"}], "tool_result": "[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"locked\": [\n \"locked\"\n ],\n \"locked_r\": [],\n \"wire\": [],\n \"reg\": [],\n \"o_rst\": [],\n \"clkfb\": [\n \"clkfb\"\n ],\n \"o_clk\": [\n \"o_clk\"\n ],\n \"i_clk\": [\n \"i_clk\"\n ]\n },\n \"alignment_score\": 50.0,\n \"unmapped_elements\": [\n \"locked_r\",\n \"wire\",\n \"reg\",\n \"o_rst\"\n ],\n \"mapping_statistics\": {\n \"rtl_signals\": 8,\n \"netlist_wires\": 7,\n \"netlist_cells\": 0,\n \"mapped_signals\": 4,\n \"unmapped_signals\": 4\n },\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 9.5,\n \"delay\": 140.2,\n \"power\": 0.004,\n \"gate_count\": 4,\n \"cell_breakdown\": {\n \"$_DFF_P_\": 2,\n \"$_NOT_\": 1,\n \"PLLE2_BASE\": 1\n },\n \"wire_count\": 7,\n \"wire_bits\": 7,\n \"critical_path_estimate\": 140.2,\n...[1120 chars elided]...\n \"error\": null\n}", "category": "multi_tool", "subcategory": "cross_stage_mapper+synthesis_tool", "difficulty": "compositional", "question_hash": "ef5239bdf3a9", "stage1_target": "[{\"tool\": \"cross_stage_mapper\", \"parameters\": {}}, {\"tool\": \"synthesis_tool\", \"parameters\": {\"optimization_level\": \"medium\"}}]", "stage2_context": "Question: For servix_ebaz4205_clock_gen, the RTL-to-netlist mapping matched only some of its signals, and o_rst and locked_r did not map to any netlist name. Do the synthesized cell counts suggest that the reset logic was optimized away, or that it was kept under different names? Please also give the synthesized area and delay.\n\n[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"locked\": [\n \"locked\"\n ],\n \"locked_r\": [],\n \"wire\": [],\n \"reg\": [],\n \"o_rst\": [],\n \"clkfb\": [\n \"clkfb\"\n ],\n \"o_clk\": [\n \"o_clk\"\n ],\n \"i_clk\": [\n \"i_clk\"\n ]\n },\n \"alignment_score\": 50.0,\n \"unmapped_elements\": [\n \"locked_r\",\n \"wire\",\n \"reg\",\n \"o_rst\"\n ],\n \"mapping_statistics\": {\n \"rtl_signals\": 8,\n \"netlist_wires\": 7,\n \"netlist_cells\": 0,\n \"mapped_signals\": 4,\n \"unmapped_signals\": 4\n },\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 9.5,\n \"delay\": 140.2,\n \"power\": 0.004,\n \"gate_count\": 4,\n \"cell_breakdown\": {\n \"$_DFF_P_\": 2,\n \"$_NOT_\": 1,\n \"PLLE2_BASE\": 1\n },\n \"wire_count\": 7,\n \"wire_bits\": 7,\n \"critical_path_estimate\": 140.2,\n...[1120 chars elided]...\n \"error\": null\n}", "plan_id": "a83f1002fbd6", "design_id": "a4d0bd4d4f50", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/olofk/serv", "commit": "f200eb2ed7b69ac1c6b8eddd47654522aeee5ce8", "path": "servant/servix_ebaz4205_clock_gen.v", "sha256": "1dfa25144a2b50c2bc3883e7577773d6d6b1e8123395738e9d1b57c113aa97aa"}} {"question": "For servix_ebaz4205_clock_gen, the CDFG shows a PLL feeding registered reset logic. Does that register logic make it into the netlist-level signal mapping, and how well do the RTL and netlist line up overall?", "answer": "The CDFG of servix_ebaz4205_clock_gen has 7 nodes and 15 edges, including 2 $dff nodes, 1 $logic_not node and 1 PLLE2_BASE node. Even so, the RTL-to-netlist mapping reports 0 netlist cells, and the register signals locked_r and o_rst are among the 4 unmapped signals. Only locked, clkfb, o_clk and i_clk are mapped, which gives an alignment score of 50.0.", "source_file": "github_repos/olofk_serv/servant/servix_ebaz4205_clock_gen.v", "module_name": "servix_ebaz4205_clock_gen", "tool_name": "cross_stage_mapper+graph_extractor", "tool_parameters": [{}, {"graph_type": "CDFG"}], "tool_result": "[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"locked\": [\n \"locked\"\n ],\n \"locked_r\": [],\n \"wire\": [],\n \"reg\": [],\n \"o_rst\": [],\n \"clkfb\": [\n \"clkfb\"\n ],\n \"o_clk\": [\n \"o_clk\"\n ],\n \"i_clk\": [\n \"i_clk\"\n ]\n },\n \"alignment_score\": 50.0,\n \"unmapped_elements\": [\n \"locked_r\",\n \"wire\",\n \"reg\",\n \"o_rst\"\n ],\n \"mapping_statistics\": {\n \"rtl_signals\": 8,\n \"netlist_wires\": 7,\n \"netlist_cells\": 0,\n \"mapped_signals\": 4,\n \"unmapped_signals\": 4\n },\n \"error\": null\n}\n\n[graph_extractor {\"graph_type\": \"CDFG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"CDFG\",\n...[2105 chars elided]...\n \"node_count\": 7,\n \"edge_count\": 15,\n \"graph_properties\": {\n \"node_types\": {\n \"$logic_not\": 1,\n \"$dff\": 2,\n \"PLLE2_BASE\": 1,\n \"port_input\": 1,\n \"port_output\": 2\n },\n \"avg_degree\": 2.14,\n \"module_name\": \"servix_ebaz4205_clock_gen\"\n },\n \"error\": null\n}", "category": "multi_tool", "subcategory": "cross_stage_mapper+graph_extractor", "difficulty": "compositional", "question_hash": "ad69642d4bc3", "stage1_target": "[{\"tool\": \"cross_stage_mapper\", \"parameters\": {}}, {\"tool\": \"graph_extractor\", \"parameters\": {\"graph_type\": \"CDFG\"}}]", "stage2_context": "Question: For servix_ebaz4205_clock_gen, the CDFG shows a PLL feeding registered reset logic. Does that register logic make it into the netlist-level signal mapping, and how well do the RTL and netlist line up overall?\n\n[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"locked\": [\n \"locked\"\n ],\n \"locked_r\": [],\n \"wire\": [],\n \"reg\": [],\n \"o_rst\": [],\n \"clkfb\": [\n \"clkfb\"\n ],\n \"o_clk\": [\n \"o_clk\"\n ],\n \"i_clk\": [\n \"i_clk\"\n ]\n },\n \"alignment_score\": 50.0,\n \"unmapped_elements\": [\n \"locked_r\",\n \"wire\",\n \"reg\",\n \"o_rst\"\n ],\n \"mapping_statistics\": {\n \"rtl_signals\": 8,\n \"netlist_wires\": 7,\n \"netlist_cells\": 0,\n \"mapped_signals\": 4,\n \"unmapped_signals\": 4\n },\n \"error\": null\n}\n\n[graph_extractor {\"graph_type\": \"CDFG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"CDFG\",\n...[2105 chars elided]...\n \"node_count\": 7,\n \"edge_count\": 15,\n \"graph_properties\": {\n \"node_types\": {\n \"$logic_not\": 1,\n \"$dff\": 2,\n \"PLLE2_BASE\": 1,\n \"port_input\": 1,\n \"port_output\": 2\n },\n \"avg_degree\": 2.14,\n \"module_name\": \"servix_ebaz4205_clock_gen\"\n },\n \"error\": null\n}", "plan_id": "87e8fafae806", "design_id": "a4d0bd4d4f50", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/olofk/serv", "commit": "f200eb2ed7b69ac1c6b8eddd47654522aeee5ce8", "path": "servant/servix_ebaz4205_clock_gen.v", "sha256": "1dfa25144a2b50c2bc3883e7577773d6d6b1e8123395738e9d1b57c113aa97aa"}} {"question": "For RAMDP_32X16_GL_M1_E2, how well do the RTL signals carry through to the netlist, and does the RTL's structural complexity help explain any weak alignment?", "answer": "For RAMDP_32X16_GL_M1_E2, only 28 of 63 RTL signals map to the netlist, with 35 left unmapped and an alignment score of 44.44, against 5044 netlist wires. The low match fits the RTL's complexity: 23 always blocks, 31 assign statements, a cyclomatic complexity of 68 and a nesting depth of 92, with many of the unmapped signals being internal latch, flop and monitor signals such as we_lat, wd_ff and monitor_on.", "source_file": "github_repos/nvdla_hw/vmod/rams/model/RAMDP_32X16_GL_M1_E2.v", "module_name": "RAMDP_32X16_GL_M1_E2", "tool_name": "cross_stage_mapper+static_analyzer", "tool_parameters": [{}, {"analysis_type": "full"}], "tool_result": "[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"weclk\": [\n \"weclk_d1\",\n \"weclk_d2\",\n \"weclk\",\n \"weclk_d0\"\n ],\n \"check_x\": [],\n \"ret_en_r_1p\": [],\n \"RA\": [\n \"RADR_2\",\n \"RADR_3\",\n \"RA\",\n \"RADR_1\",\n \"RADR_4\"\n ],\n \"RE\": [\n \"RE\",\n \"RET_EN\"\n ],\n \"WD\": [\n \"WD_11\",\n \"WD_12\",\n \"WD_13\",\n \"WD_6\",\n \"WD_3\"\n ],\n \"clobber_x\": [\n...[2212 chars elided]...\n [\n \"CLK_R\"\n ],\n \"disable_power_assertion_S1P2\": [],\n \"weclk_gating_1p\": [],\n \"we_ff\": [],\n \"addr\": [\n \"r0_addr\",\n \"w0_addr\"\n ],\n \"wa_ff\": [],\n \"clamp_o\": [\n \"clamp_o\"\n ],\n \"disable_power_assertion_S2P1\": []\n },\n \"alignment_score\": 44.44,\n \"unmapped_elements\": [\n \"check_x\",\n \"ret_en_r_1p\",\n \"ret_en_w_1p\",\n \"sleep_en_off_r_1p\",\n \"ra_ff\",\n \"weclk_gating\",\n \"rst_clk\",\n \"we_lat\",\n \"reclk_gating_1p\",\n \"dump_monitor_result\",\n \"output_valid\",\n \"data\",\n \"disable_power_assertion_S1P1\",\n \"re_lat\",\n \"wd_ff\",\n \"wd_lat\",\n \"monitor_on\",\n \"fault_mask\",\n \"sleep_en_or\",\n \"sleep_en_off_w_1p\"\n ],\n \"mapping_statistics\": {\n \"rtl_signals\": 63,\n \"netlist_wires\": 5044,\n \"netlist_cells\": 0,\n \"mapped_signals\": 28,\n \"unmapped_signals\": 35\n },\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"RAMDP_32X16_GL_M1_E2\",\n \"port_count\": {\n \"inputs\": 41,\n \"outputs\": 2,\n \"inouts\": 0,\n \"total\": 43\n },\n \"signal_count\": {\n \"wires\": 34,\n \"regs\": 23,\n \"parameters\": 6,\n \"total\": 57\n },\n \"always_blocks\": 23,\n \"assign_statements\": 31,\n \"instantiations\": [\n \"generate\",\n \"RAM_BANK_RAMDP_32X16_GL_M1_E2\",\n \"off\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 733,\n \"total_lines\": 956,\n \"cyclomatic_complexity\": 68,\n \"nesting_depth\": 92,\n \"operator_count\": 1660\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "category": "multi_tool", "subcategory": "cross_stage_mapper+static_analyzer", "difficulty": "compositional", "question_hash": "6702daa7000c", "stage1_target": "[{\"tool\": \"cross_stage_mapper\", \"parameters\": {}}, {\"tool\": \"static_analyzer\", \"parameters\": {\"analysis_type\": \"full\"}}]", "stage2_context": "Question: For RAMDP_32X16_GL_M1_E2, how well do the RTL signals carry through to the netlist, and does the RTL's structural complexity help explain any weak alignment?\n\n[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"weclk\": [\n \"weclk_d1\",\n \"weclk_d2\",\n \"weclk\",\n \"weclk_d0\"\n ],\n \"check_x\": [],\n \"ret_en_r_1p\": [],\n \"RA\": [\n \"RADR_2\",\n \"RADR_3\",\n \"RA\",\n \"RADR_1\",\n \"RADR_4\"\n ],\n \"RE\": [\n \"RE\",\n \"RET_EN\"\n ],\n \"WD\": [\n \"WD_11\",\n \"WD_12\",\n \"WD_13\",\n \"WD_6\",\n \"WD_3\"\n ],\n \"clobber_x\": [\n...[2212 chars elided]...\n [\n \"CLK_R\"\n ],\n \"disable_power_assertion_S1P2\": [],\n \"weclk_gating_1p\": [],\n \"we_ff\": [],\n \"addr\": [\n \"r0_addr\",\n \"w0_addr\"\n ],\n \"wa_ff\": [],\n \"clamp_o\": [\n \"clamp_o\"\n ],\n \"disable_power_assertion_S2P1\": []\n },\n \"alignment_score\": 44.44,\n \"unmapped_elements\": [\n \"check_x\",\n \"ret_en_r_1p\",\n \"ret_en_w_1p\",\n \"sleep_en_off_r_1p\",\n \"ra_ff\",\n \"weclk_gating\",\n \"rst_clk\",\n \"we_lat\",\n \"reclk_gating_1p\",\n \"dump_monitor_result\",\n \"output_valid\",\n \"data\",\n \"disable_power_assertion_S1P1\",\n \"re_lat\",\n \"wd_ff\",\n \"wd_lat\",\n \"monitor_on\",\n \"fault_mask\",\n \"sleep_en_or\",\n \"sleep_en_off_w_1p\"\n ],\n \"mapping_statistics\": {\n \"rtl_signals\": 63,\n \"netlist_wires\": 5044,\n \"netlist_cells\": 0,\n \"mapped_signals\": 28,\n \"unmapped_signals\": 35\n },\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"RAMDP_32X16_GL_M1_E2\",\n \"port_count\": {\n \"inputs\": 41,\n \"outputs\": 2,\n \"inouts\": 0,\n \"total\": 43\n },\n \"signal_count\": {\n \"wires\": 34,\n \"regs\": 23,\n \"parameters\": 6,\n \"total\": 57\n },\n \"always_blocks\": 23,\n \"assign_statements\": 31,\n \"instantiations\": [\n \"generate\",\n \"RAM_BANK_RAMDP_32X16_GL_M1_E2\",\n \"off\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 733,\n \"total_lines\": 956,\n \"cyclomatic_complexity\": 68,\n \"nesting_depth\": 92,\n \"operator_count\": 1660\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "plan_id": "3e45e11fe6d4", "design_id": "a57f0dc10d05", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/nvdla/hw", "commit": "8e06b1b9d85aab65b40d43d08eec5ea4681ff715", "path": "vmod/rams/model/RAMDP_32X16_GL_M1_E2.v", "sha256": "4379b402cd19ff2e5b97e8248bd54adb13dba6fa85625e05289e8fb63ae3150b"}} {"question": "For NV_NVDLA_MCIF_CSB_reg, how many flip-flops does the AIG show, and how do they split between the reset-to-1 and reset-to-0 types? How much logic sits around them? And if I run the area-targeted optimization, what area improvement should I expect, and what happens to delay?", "answer": "The AIG of NV_NVDLA_MCIF_CSB_reg has 36 $_DFFE_PN1P_ and 140 $_DFFE_PN0P_ enable flip-flops, surrounded by 848 AND and 1342 NOT gates out of 2395 nodes in total. The area-targeted optimization recipe (including 'share -aggressive' and 'muxcover') is estimated to change area by -15.0 and power by -10.0, but delay by 5.0, which matches the stated trade-off that area optimization may increase delay.", "source_file": "github_repos/nvdla_hw/vmod/nvdla/nocif/NV_NVDLA_MCIF_CSB_reg.v", "module_name": "NV_NVDLA_MCIF_CSB_reg", "tool_name": "graph_extractor+optimization_advisor", "tool_parameters": [{"graph_type": "AIG"}, {"target_metric": "area"}], "tool_result": "[graph_extractor {\"graph_type\": \"AIG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"AIG\",\n...[33463 chars elided]...\n \"node_count\": 2395,\n \"edge_count\": 6108,\n \"graph_properties\": {\n \"node_types\": {\n \"$_AND_\": 848,\n \"$_NOT_\": 1342,\n \"$_DFFE_PN1P_\": 36,\n \"$_DFFE_PN0P_\": 140,\n \"port_output\": 23,\n \"port_input\": 6\n },\n \"avg_degree\": 2.55,\n \"module_name\": \"NV_NVDLA_MCIF_CSB_reg\"\n },\n \"error\": null\n}\n\n[optimization_advisor {\"target_metric\": \"area\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"area\",\n \"recommended_recipes\": [\n \"synth -top NV_NVDLA_MCIF_CSB_reg -flatten\",\n \"opt -full; share -aggressive; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean -purge\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"mux_optimization\",\n \"description\": \"Share multiplexers where possible\",\n \"command\": \"muxcover; opt\"\n },\n {\n \"type\": \"resource_sharing\",\n \"description\": \"Share arithmetic operators\",\n \"command\": \"share -aggressive\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": -15.0,\n \"delay\": 5.0,\n \"power\": -10.0\n },\n \"trade_offs\": [\n \"Area optimization may increase delay\",\n \"Aggressive sharing increases routing complexity\"\n ],\n \"error\": null\n}", "category": "multi_tool", "subcategory": "graph_extractor+optimization_advisor", "difficulty": "compositional", "question_hash": "0baa5c8dba20", "stage1_target": "[{\"tool\": \"graph_extractor\", \"parameters\": {\"graph_type\": \"AIG\"}}, {\"tool\": \"optimization_advisor\", \"parameters\": {\"target_metric\": \"area\"}}]", "stage2_context": "Question: For NV_NVDLA_MCIF_CSB_reg, how many flip-flops does the AIG show, and how do they split between the reset-to-1 and reset-to-0 types? How much logic sits around them? And if I run the area-targeted optimization, what area improvement should I expect, and what happens to delay?\n\n[graph_extractor {\"graph_type\": \"AIG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"AIG\",\n...[33463 chars elided]...\n \"node_count\": 2395,\n \"edge_count\": 6108,\n \"graph_properties\": {\n \"node_types\": {\n \"$_AND_\": 848,\n \"$_NOT_\": 1342,\n \"$_DFFE_PN1P_\": 36,\n \"$_DFFE_PN0P_\": 140,\n \"port_output\": 23,\n \"port_input\": 6\n },\n \"avg_degree\": 2.55,\n \"module_name\": \"NV_NVDLA_MCIF_CSB_reg\"\n },\n \"error\": null\n}\n\n[optimization_advisor {\"target_metric\": \"area\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"area\",\n \"recommended_recipes\": [\n \"synth -top NV_NVDLA_MCIF_CSB_reg -flatten\",\n \"opt -full; share -aggressive; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean -purge\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"mux_optimization\",\n \"description\": \"Share multiplexers where possible\",\n \"command\": \"muxcover; opt\"\n },\n {\n \"type\": \"resource_sharing\",\n \"description\": \"Share arithmetic operators\",\n \"command\": \"share -aggressive\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": -15.0,\n \"delay\": 5.0,\n \"power\": -10.0\n },\n \"trade_offs\": [\n \"Area optimization may increase delay\",\n \"Aggressive sharing increases routing complexity\"\n ],\n \"error\": null\n}", "plan_id": "5de5f954e2de", "design_id": "a6d639166200", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/nvdla/hw", "commit": "8e06b1b9d85aab65b40d43d08eec5ea4681ff715", "path": "vmod/nvdla/nocif/NV_NVDLA_MCIF_CSB_reg.v", "sha256": "76db1d340a8a9f989c6de49f08dd5afa45cc2f7dc0f9b78d718f33fe618ec500"}} {"question": "For spi_master_clkgen, how do the register elements in the CDFG compare with the flip-flops left after medium-effort synthesis, and how well do the RTL signals map onto the synthesized netlist?", "answer": "The CDFG of spi_master_clkgen has 3 $adffe nodes and 1 $adff node across its 25 nodes. Medium-effort synthesis maps these to 9 $_DFFE_PN0P_, 8 $_DFFE_PN0N_ and 1 $_DFF_PN0_ cells, out of 64 gates, with an area of 79.0 and a delay of 193.15. The RTL-to-netlist alignment score is only 56.25, with 7 unmapped signals, including counter_trgt, spi_clk and running.", "source_file": "github_repos/riscv-mcu_e203_hbirdv2/rtl/e203/perips/apb_spi_master/spi_master_clkgen.v", "module_name": "spi_master_clkgen", "tool_name": "cross_stage_mapper+graph_extractor+synthesis_tool", "tool_parameters": [{}, {"graph_type": "CDFG"}, {"optimization_level": "medium"}], "tool_result": "[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"rstn\": [\n \"rstn\"\n ],\n \"en\": [\n \"en\"\n ],\n \"wire\": [],\n \"clk\": [\n \"clk_div\",\n \"clk_div_valid\",\n \"clk\"\n ],\n \"counter_trgt\": [],\n \"spi_rise\": [\n \"spi_rise\"\n ],\n \"spi_clk\"\n...[122 chars elided]...\n \"clk_div\": [\n \"clk_div\",\n \"clk_div_valid\"\n ],\n \"counter\": [\n \"counter_next\"\n ],\n \"spi_clk_next\": [],\n \"clk_div_valid\": [\n \"clk_div_valid\"\n ],\n \"spi_fall\": [\n \"spi_fall\"\n ]\n },\n \"alignment_score\": 56.25,\n \"unmapped_elements\": [\n \"wire\",\n \"counter_trgt\",\n \"spi_clk\",\n \"counter_trgt_next\",\n \"running\",\n \"reg\",\n \"spi_clk_next\"\n ],\n \"mapping_statistics\": {\n \"rtl_signals\": 16,\n \"netlist_wires\": 248,\n \"netlist_cells\": 0,\n \"mapped_signals\": 9,\n \"unmapped_signals\": 7\n },\n \"error\": null\n}\n\n[graph_extractor {\"graph_type\": \"CDFG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"CDFG\",\n...[25241 chars elided]...\n \"node_count\": 25,\n \"edge_count\": 193,\n \"graph_properties\": {\n \"node_types\": {\n \"$eq\": 1,\n \"$add\": 1,\n \"$not\": 3,\n \"$logic_and\": 1,\n \"$adffe\": 3,\n \"$reduce_and\": 1,\n \"$adff\": 1,\n \"$mux\": 6,\n \"port_input\": 5,\n \"port_output\": 3\n },\n \"avg_degree\": 7.72,\n \"module_name\": \"spi_master_clkgen\"\n },\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 79.0,\n \"delay\": 193.15,\n \"power\": 0.064,\n \"gate_count\": 64,\n \"cell_breakdown\": {\n \"$_ANDNOT_\": 5,\n \"$_AND_\": 20,\n \"$_DFFE_PN0N_\": 8,\n \"$_DFFE_PN0P_\": 9,\n \"$_DFF_PN0_\": 1,\n \"$_NAND_\": 2,\n \"$_NOR_\": 1,\n \"$_NOT_\": 3,\n \"$_OR\n...[1761 chars elided]...\n \"error\": null\n}", "category": "multi_tool", "subcategory": "cross_stage_mapper+graph_extractor+synthesis_tool", "difficulty": "compositional", "question_hash": "0ad17e700d6c", "stage1_target": "[{\"tool\": \"cross_stage_mapper\", \"parameters\": {}}, {\"tool\": \"graph_extractor\", \"parameters\": {\"graph_type\": \"CDFG\"}}, {\"tool\": \"synthesis_tool\", \"parameters\": {\"optimization_level\": \"medium\"}}]", "stage2_context": "Question: For spi_master_clkgen, how do the register elements in the CDFG compare with the flip-flops left after medium-effort synthesis, and how well do the RTL signals map onto the synthesized netlist?\n\n[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"rstn\": [\n \"rstn\"\n ],\n \"en\": [\n \"en\"\n ],\n \"wire\": [],\n \"clk\": [\n \"clk_div\",\n \"clk_div_valid\",\n \"clk\"\n ],\n \"counter_trgt\": [],\n \"spi_rise\": [\n \"spi_rise\"\n ],\n \"spi_clk\"\n...[122 chars elided]...\n \"clk_div\": [\n \"clk_div\",\n \"clk_div_valid\"\n ],\n \"counter\": [\n \"counter_next\"\n ],\n \"spi_clk_next\": [],\n \"clk_div_valid\": [\n \"clk_div_valid\"\n ],\n \"spi_fall\": [\n \"spi_fall\"\n ]\n },\n \"alignment_score\": 56.25,\n \"unmapped_elements\": [\n \"wire\",\n \"counter_trgt\",\n \"spi_clk\",\n \"counter_trgt_next\",\n \"running\",\n \"reg\",\n \"spi_clk_next\"\n ],\n \"mapping_statistics\": {\n \"rtl_signals\": 16,\n \"netlist_wires\": 248,\n \"netlist_cells\": 0,\n \"mapped_signals\": 9,\n \"unmapped_signals\": 7\n },\n \"error\": null\n}\n\n[graph_extractor {\"graph_type\": \"CDFG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"CDFG\",\n...[25241 chars elided]...\n \"node_count\": 25,\n \"edge_count\": 193,\n \"graph_properties\": {\n \"node_types\": {\n \"$eq\": 1,\n \"$add\": 1,\n \"$not\": 3,\n \"$logic_and\": 1,\n \"$adffe\": 3,\n \"$reduce_and\": 1,\n \"$adff\": 1,\n \"$mux\": 6,\n \"port_input\": 5,\n \"port_output\": 3\n },\n \"avg_degree\": 7.72,\n \"module_name\": \"spi_master_clkgen\"\n },\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 79.0,\n \"delay\": 193.15,\n \"power\": 0.064,\n \"gate_count\": 64,\n \"cell_breakdown\": {\n \"$_ANDNOT_\": 5,\n \"$_AND_\": 20,\n \"$_DFFE_PN0N_\": 8,\n \"$_DFFE_PN0P_\": 9,\n \"$_DFF_PN0_\": 1,\n \"$_NAND_\": 2,\n \"$_NOR_\": 1,\n \"$_NOT_\": 3,\n \"$_OR\n...[1761 chars elided]...\n \"error\": null\n}", "plan_id": "8a4538a12234", "design_id": "a6e7c38a37f8", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 3, "ctx_cap": 3300, "source": {"repository": "https://github.com/riscv-mcu/e203_hbirdv2", "commit": "9f3e34f337f5d0a1236a285871ffa2032491617a", "path": "rtl/e203/perips/apb_spi_master/spi_master_clkgen.v", "sha256": "7af6f73803cab880ec8926ac95f7b20b74ff748d884db5fb55e4ef98467d7343"}} {"question": "For spi_master_clkgen, how big is the AIG compared with the RTL source, and how many flip-flops does it contain compared with the number of regs declared?", "answer": "The AIG for spi_master_clkgen has 1650 nodes and 4034 edges (697 AND and 927 NOT), all produced from just 52 lines of code with a cyclomatic complexity of 13 and a nesting depth of 7. The AIG has 1 $_DFF_PN0_, 8 $_DFFE_PN0N_ and 9 $_DFFE_PN0P_ flip-flops, while the source declares 9 regs across 2 always blocks, so some regs must be multi-bit.", "source_file": "github_repos/riscv-mcu_e203_hbirdv2/rtl/e203/perips/apb_spi_master/spi_master_clkgen.v", "module_name": "spi_master_clkgen", "tool_name": "graph_extractor+static_analyzer", "tool_parameters": [{"graph_type": "AIG"}, {"analysis_type": "full"}], "tool_result": "[graph_extractor {\"graph_type\": \"AIG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"AIG\",\n...[33402 chars elided]...\n \"node_count\": 1650,\n \"edge_count\": 4034,\n \"graph_properties\": {\n \"node_types\": {\n \"$_AND_\": 697,\n \"$_NOT_\": 927,\n \"$_DFF_PN0_\": 1,\n \"$_DFFE_PN0N_\": 8,\n \"$_DFFE_PN0P_\": 9,\n \"port_input\": 5,\n \"port_output\": 3\n },\n \"avg_degree\": 2.44,\n \"module_name\": \"spi_master_clkgen\"\n },\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"spi_master_clkgen\",\n \"port_count\": {\n \"inputs\": 5,\n \"outputs\": 3,\n \"inouts\": 0,\n \"total\": 8\n },\n \"signal_count\": {\n \"wires\": 5,\n \"regs\": 9,\n \"parameters\": 0,\n \"total\": 14\n },\n \"always_blocks\": 2,\n \"assign_statements\": 0,\n \"instantiations\": [],\n \"code_complexity\": {\n \"lines_of_code\": 52,\n \"total_lines\": 76,\n \"cyclomatic_complexity\": 13,\n \"nesting_depth\": 7,\n \"operator_count\": 73\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "category": "multi_tool", "subcategory": "graph_extractor+static_analyzer", "difficulty": "compositional", "question_hash": "487897e2d8ab", "stage1_target": "[{\"tool\": \"graph_extractor\", \"parameters\": {\"graph_type\": \"AIG\"}}, {\"tool\": \"static_analyzer\", \"parameters\": {\"analysis_type\": \"full\"}}]", "stage2_context": "Question: For spi_master_clkgen, how big is the AIG compared with the RTL source, and how many flip-flops does it contain compared with the number of regs declared?\n\n[graph_extractor {\"graph_type\": \"AIG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"AIG\",\n...[33402 chars elided]...\n \"node_count\": 1650,\n \"edge_count\": 4034,\n \"graph_properties\": {\n \"node_types\": {\n \"$_AND_\": 697,\n \"$_NOT_\": 927,\n \"$_DFF_PN0_\": 1,\n \"$_DFFE_PN0N_\": 8,\n \"$_DFFE_PN0P_\": 9,\n \"port_input\": 5,\n \"port_output\": 3\n },\n \"avg_degree\": 2.44,\n \"module_name\": \"spi_master_clkgen\"\n },\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"spi_master_clkgen\",\n \"port_count\": {\n \"inputs\": 5,\n \"outputs\": 3,\n \"inouts\": 0,\n \"total\": 8\n },\n \"signal_count\": {\n \"wires\": 5,\n \"regs\": 9,\n \"parameters\": 0,\n \"total\": 14\n },\n \"always_blocks\": 2,\n \"assign_statements\": 0,\n \"instantiations\": [],\n \"code_complexity\": {\n \"lines_of_code\": 52,\n \"total_lines\": 76,\n \"cyclomatic_complexity\": 13,\n \"nesting_depth\": 7,\n \"operator_count\": 73\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "plan_id": "4205b57bddcc", "design_id": "a6e7c38a37f8", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/riscv-mcu/e203_hbirdv2", "commit": "9f3e34f337f5d0a1236a285871ffa2032491617a", "path": "rtl/e203/perips/apb_spi_master/spi_master_clkgen.v", "sha256": "7af6f73803cab880ec8926ac95f7b20b74ff748d884db5fb55e4ef98467d7343"}} {"question": "For the up_down_counter module, how does the register structure in its DFG compare with the declared registers and always blocks in the source code, and with the flip-flop cells and overall size of the medium-optimization synthesized netlist?", "answer": "The up_down_counter DFG has 62 nodes, including 7 $adffe enable flip-flop nodes and 20 $mux nodes. The source code declares 8 regs across 4 always blocks, with a cyclomatic complexity of 28. After medium-level synthesis, these registers become 51 $_DFFE_PN0P_ cells and 1 $_DFFE_PN1P_ cell, in a netlist of 614 gates with an area of 719.5 and a delay of 347.79.", "source_file": "github_repos/riscv-mcu_e203_hbirdv2/rtl/e203/perips/apb_adv_timer/up_down_counter.v", "module_name": "up_down_counter", "tool_name": "graph_extractor+static_analyzer+synthesis_tool", "tool_parameters": [{"graph_type": "DFG"}, {"analysis_type": "full"}, {"optimization_level": "medium"}], "tool_result": "[graph_extractor {\"graph_type\": \"DFG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"DFG\",\n...[40862 chars elided]...\n \"node_count\": 62,\n \"edge_count\": 878,\n \"graph_properties\": {\n \"node_types\": {\n \"$eq\": 3,\n \"$logic_and\": 5,\n \"$logic_not\": 2,\n \"$sub\": 2,\n \"$add\": 1,\n \"$logic_or\": 2,\n \"$and\": 2,\n \"$mux\": 20,\n \"$adffe\": 7,\n \"$reduce_bool\": 3,\n \"$reduce_and\": 2,\n \"port_input\": 9,\n \"port_output\": 4\n },\n \"avg_degree\": 14.16,\n \"module_name\": \"up_down_counter\"\n },\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"up_down_counter\",\n \"port_count\": {\n \"inputs\": 9,\n \"outputs\": 4,\n \"inouts\": 0,\n \"total\": 13\n },\n \"signal_count\": {\n \"wires\": 11,\n \"regs\": 8,\n \"parameters\": 1,\n \"total\": 19\n },\n \"always_blocks\": 4,\n \"assign_statements\": 5,\n \"instantiations\": [\n \"proc_r_event\",\n \"proc_r_counter\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 118,\n \"total_lines\": 155,\n \"cyclomatic_complexity\": 28,\n \"nesting_depth\": 23,\n \"operator_count\": 148\n },\n \"lint_warnings\": [],\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 719.5,\n \"delay\": 347.79,\n \"power\": 0.614,\n \"gate_count\": 614,\n \"cell_breakdown\": {\n \"$_ANDNOT_\": 9,\n \"$_AND_\": 113,\n \"$_DFFE_PN0P_\": 51,\n \"$_DFFE_PN1P_\": 1,\n \"$_NAND_\": 166,\n \"$_NOR_\": 20,\n \"$_NOT_\": 35,\n \"$_ORNOT_\": 63,\n \n...[1773 chars elided]...\n \"error\": null\n}", "category": "multi_tool", "subcategory": "graph_extractor+static_analyzer+synthesis_tool", "difficulty": "compositional", "question_hash": "b925d66ab780", "stage1_target": "[{\"tool\": \"graph_extractor\", \"parameters\": {\"graph_type\": \"DFG\"}}, {\"tool\": \"static_analyzer\", \"parameters\": {\"analysis_type\": \"full\"}}, {\"tool\": \"synthesis_tool\", \"parameters\": {\"optimization_level\": \"medium\"}}]", "stage2_context": "Question: For the up_down_counter module, how does the register structure in its DFG compare with the declared registers and always blocks in the source code, and with the flip-flop cells and overall size of the medium-optimization synthesized netlist?\n\n[graph_extractor {\"graph_type\": \"DFG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"DFG\",\n...[40862 chars elided]...\n \"node_count\": 62,\n \"edge_count\": 878,\n \"graph_properties\": {\n \"node_types\": {\n \"$eq\": 3,\n \"$logic_and\": 5,\n \"$logic_not\": 2,\n \"$sub\": 2,\n \"$add\": 1,\n \"$logic_or\": 2,\n \"$and\": 2,\n \"$mux\": 20,\n \"$adffe\": 7,\n \"$reduce_bool\": 3,\n \"$reduce_and\": 2,\n \"port_input\": 9,\n \"port_output\": 4\n },\n \"avg_degree\": 14.16,\n \"module_name\": \"up_down_counter\"\n },\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"up_down_counter\",\n \"port_count\": {\n \"inputs\": 9,\n \"outputs\": 4,\n \"inouts\": 0,\n \"total\": 13\n },\n \"signal_count\": {\n \"wires\": 11,\n \"regs\": 8,\n \"parameters\": 1,\n \"total\": 19\n },\n \"always_blocks\": 4,\n \"assign_statements\": 5,\n \"instantiations\": [\n \"proc_r_event\",\n \"proc_r_counter\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 118,\n \"total_lines\": 155,\n \"cyclomatic_complexity\": 28,\n \"nesting_depth\": 23,\n \"operator_count\": 148\n },\n \"lint_warnings\": [],\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 719.5,\n \"delay\": 347.79,\n \"power\": 0.614,\n \"gate_count\": 614,\n \"cell_breakdown\": {\n \"$_ANDNOT_\": 9,\n \"$_AND_\": 113,\n \"$_DFFE_PN0P_\": 51,\n \"$_DFFE_PN1P_\": 1,\n \"$_NAND_\": 166,\n \"$_NOR_\": 20,\n \"$_NOT_\": 35,\n \"$_ORNOT_\": 63,\n \n...[1773 chars elided]...\n \"error\": null\n}", "plan_id": "2f1b70bcee66", "design_id": "a53ea2294c94", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 3, "ctx_cap": 3300, "source": {"repository": "https://github.com/riscv-mcu/e203_hbirdv2", "commit": "9f3e34f337f5d0a1236a285871ffa2032491617a", "path": "rtl/e203/perips/apb_adv_timer/up_down_counter.v", "sha256": "a987f14cd590e2a04696066c835bbb0f7f4602281f8bb9c61f2be14ccf44c6a5"}} {"question": "For NV_NVDLA_CACC_CALC_fp_48b, how well do the RTL signals map onto the synthesized netlist? Given the register makeup in the module's DFG, do the unmapped signals point to the pipeline control and valid logic being restructured?", "answer": "In NV_NVDLA_CACC_CALC_fp_48b, the RTL-to-netlist alignment score is 82.05, with 96 signals mapped and 21 unmapped, and the unmapped ones are mostly control and valid signals such as final_vld, msum_vld, shift_vld and out_final_valid. The DFG has 131 nodes, including 9 $dffe and 10 $adff registers, so these pipeline valid and select signals were probably merged or renamed during synthesis, while datapath signals like fp32_result and in_data kept their names.", "source_file": "github_repos/nvdla_hw/vmod/nvdla/cacc/NV_NVDLA_CACC_CALC_fp_48b.v", "module_name": "NV_NVDLA_CACC_CALC_fp_48b", "tool_name": "cross_stage_mapper+graph_extractor", "tool_parameters": [{}, {"graph_type": "DFG"}], "tool_result": "[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"mant_sum_carry_pos\": [\n \"mant_sum_carry_pos\"\n ],\n \"fp32_mant_point5\": [\n \"fp32_mant_point5\"\n ],\n \"di_expn\": [\n \"di_expn\"\n ],\n \"di_mant_cut\": [\n \"di_mant_cutt\",\n \"di_mant_cut\"\n ],\n \"mant_sum_scmp\": [\n \"mant_sum_scmp\"\n ],\n \"in_aligned_expo\": [],\n \"in_data\": [\n \"in_data\"\n ],\n \"nvdla_core_clk\": [\n \"n\n...[6072 chars elided]...\n\n \"oi_mant_cut\": [\n \"oi_mant_cut\",\n \"oi_mant_cutt\"\n ],\n \"fp32_result\": [\n \"fp32_result\"\n ],\n \"partial_result_mant\": [],\n \"mant_sum_guard\": [\n \"mant_sum_guard\"\n ],\n \"di_nan\": [\n \"di_nan\"\n ]\n },\n \"alignment_score\": 82.05,\n \"unmapped_elements\": [\n \"in_aligned_expo\",\n \"partial_zero\",\n \"out_final_data\",\n \"msum_sel\",\n \"out_final_valid\",\n \"di_zero\",\n \"expo_trans\",\n \"in_nan_d\",\n \"funcpoint_cover_off\",\n \"shift_vld\",\n \"shift_sel\",\n \"final_vld\",\n \"out_partial_valid\",\n \"msum_vld\",\n \"partial_mant_zero\",\n \"partial_result_expo\",\n \"in_nan_2d\",\n \"oi_zero\",\n \"mant_sum_trans\",\n \"final_sel\"\n ],\n \"mapping_statistics\": {\n \"rtl_signals\": 117,\n \"netlist_wires\": 8478,\n \"netlist_cells\": 0,\n \"mapped_signals\": 96,\n \"unmapped_signals\": 21\n },\n \"error\": null\n}\n\n[graph_extractor {\"graph_type\": \"DFG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"DFG\",\n...[58591 chars elided]...\n \"node_count\": 131,\n \"edge_count\": 5253,\n \"graph_properties\": {\n \"node_types\": {\n \"$mux\": 34,\n \"$and\": 15,\n \"$reduce_or\": 9,\n \"$reduce_and\": 6,\n \"$or\": 3,\n \"$add\": 9,\n \"$sub\": 6,\n \"$sshl\": 2,\n \"$sshr\": 4,\n \"$ge\": 2,\n \"$gt\": 1,\n \"$lt\": 1,\n \"$not\": 7,\n \"$dffe\": 9,\n \"$adff\": 10,\n \"DW_lsd\": 2,\n \"port_input\": 7,\n \"port_output\": 4\n },\n \"avg_degree\": 40.1,\n \"module_name\": \"NV_NVDLA_CACC_CALC_fp_48b\"\n },\n \"error\": null\n}", "category": "multi_tool", "subcategory": "cross_stage_mapper+graph_extractor", "difficulty": "compositional", "question_hash": "17fe4b44e72b", "stage1_target": "[{\"tool\": \"cross_stage_mapper\", \"parameters\": {}}, {\"tool\": \"graph_extractor\", \"parameters\": {\"graph_type\": \"DFG\"}}]", "stage2_context": "Question: For NV_NVDLA_CACC_CALC_fp_48b, how well do the RTL signals map onto the synthesized netlist? Given the register makeup in the module's DFG, do the unmapped signals point to the pipeline control and valid logic being restructured?\n\n[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"mant_sum_carry_pos\": [\n \"mant_sum_carry_pos\"\n ],\n \"fp32_mant_point5\": [\n \"fp32_mant_point5\"\n ],\n \"di_expn\": [\n \"di_expn\"\n ],\n \"di_mant_cut\": [\n \"di_mant_cutt\",\n \"di_mant_cut\"\n ],\n \"mant_sum_scmp\": [\n \"mant_sum_scmp\"\n ],\n \"in_aligned_expo\": [],\n \"in_data\": [\n \"in_data\"\n ],\n \"nvdla_core_clk\": [\n \"n\n...[6072 chars elided]...\n\n \"oi_mant_cut\": [\n \"oi_mant_cut\",\n \"oi_mant_cutt\"\n ],\n \"fp32_result\": [\n \"fp32_result\"\n ],\n \"partial_result_mant\": [],\n \"mant_sum_guard\": [\n \"mant_sum_guard\"\n ],\n \"di_nan\": [\n \"di_nan\"\n ]\n },\n \"alignment_score\": 82.05,\n \"unmapped_elements\": [\n \"in_aligned_expo\",\n \"partial_zero\",\n \"out_final_data\",\n \"msum_sel\",\n \"out_final_valid\",\n \"di_zero\",\n \"expo_trans\",\n \"in_nan_d\",\n \"funcpoint_cover_off\",\n \"shift_vld\",\n \"shift_sel\",\n \"final_vld\",\n \"out_partial_valid\",\n \"msum_vld\",\n \"partial_mant_zero\",\n \"partial_result_expo\",\n \"in_nan_2d\",\n \"oi_zero\",\n \"mant_sum_trans\",\n \"final_sel\"\n ],\n \"mapping_statistics\": {\n \"rtl_signals\": 117,\n \"netlist_wires\": 8478,\n \"netlist_cells\": 0,\n \"mapped_signals\": 96,\n \"unmapped_signals\": 21\n },\n \"error\": null\n}\n\n[graph_extractor {\"graph_type\": \"DFG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"DFG\",\n...[58591 chars elided]...\n \"node_count\": 131,\n \"edge_count\": 5253,\n \"graph_properties\": {\n \"node_types\": {\n \"$mux\": 34,\n \"$and\": 15,\n \"$reduce_or\": 9,\n \"$reduce_and\": 6,\n \"$or\": 3,\n \"$add\": 9,\n \"$sub\": 6,\n \"$sshl\": 2,\n \"$sshr\": 4,\n \"$ge\": 2,\n \"$gt\": 1,\n \"$lt\": 1,\n \"$not\": 7,\n \"$dffe\": 9,\n \"$adff\": 10,\n \"DW_lsd\": 2,\n \"port_input\": 7,\n \"port_output\": 4\n },\n \"avg_degree\": 40.1,\n \"module_name\": \"NV_NVDLA_CACC_CALC_fp_48b\"\n },\n \"error\": null\n}", "plan_id": "5c38304f417f", "design_id": "a90bcdc187fc", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/nvdla/hw", "commit": "8e06b1b9d85aab65b40d43d08eec5ea4681ff715", "path": "vmod/nvdla/cacc/NV_NVDLA_CACC_CALC_fp_48b.v", "sha256": "ef3dbfb8b56f4359f6554af9e3c07e3b47b87423b255c17aaedeeb0dc94b7028"}} {"question": "For NV_BLKBOX_BUFFER, an area-focused optimization flow suggests aggressive resource sharing and estimates an area change. Given how the module's RTL maps onto its netlist and what the code structure actually contains, is that area optimization worth pursuing?", "answer": "Probably not. NV_BLKBOX_BUFFER is a plain pass-through: it has 1 input and 1 output, a single assign statement, 0 always blocks and 0 registers, and the RTL-to-netlist mapping links A and Y with an alignment score of 100.0 and 0 netlist cells. With no logic or arithmetic operators to share, the estimated area improvement of -15.0 from 'share -aggressive' has nothing to work on, so running the flow would only risk the stated trade-off that area optimization may increase delay.", "source_file": "github_repos/nvdla_hw/vmod/vlibs/NV_BLKBOX_BUFFER.v", "module_name": "NV_BLKBOX_BUFFER", "tool_name": "cross_stage_mapper+optimization_advisor+static_analyzer", "tool_parameters": [{}, {"target_metric": "area"}, {"analysis_type": "full"}], "tool_result": "[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"Y\": [\n \"Y\"\n ],\n \"A\": [\n \"A\"\n ]\n },\n \"alignment_score\": 100.0,\n \"unmapped_elements\": [],\n \"mapping_statistics\": {\n \"rtl_signals\": 2,\n \"netlist_wires\": 2,\n \"netlist_cells\": 0,\n \"mapped_signals\": 2,\n \"unmapped_signals\": 0\n },\n \"error\": null\n}\n\n[optimization_advisor {\"target_metric\": \"area\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"area\",\n \"recommended_recipes\": [\n \"synth -top NV_BLKBOX_BUFFER -flatten\",\n \"opt -full; share -aggressive; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean -purge\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"resource_sharing\",\n \"description\": \"Share arithmetic operators\",\n \"command\": \"share -aggressive\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": -15.0,\n \"delay\": 5.0,\n \"power\": -10.0\n },\n \"trade_offs\": [\n \"Area optimization may increase delay\",\n \"Aggressive sharing increases routing complexity\"\n ],\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"NV_BLKBOX_BUFFER\",\n \"port_count\": {\n \"inputs\": 1,\n \"outputs\": 1,\n \"inouts\": 0,\n \"total\": 2\n },\n \"signal_count\": {\n \"wires\": 0,\n \"regs\": 0,\n \"parameters\": 0,\n \"total\": 0\n },\n \"always_blocks\": 0,\n \"assign_statements\": 1,\n \"instantiations\": [],\n \"code_complexity\": {\n \"lines_of_code\": 8,\n \"total_lines\": 23,\n \"cyclomatic_complexity\": 2,\n \"nesting_depth\": 0,\n \"operator_count\": 146\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "category": "multi_tool", "subcategory": "cross_stage_mapper+optimization_advisor+static_analyzer", "difficulty": "compositional", "question_hash": "f7612e351459", "stage1_target": "[{\"tool\": \"cross_stage_mapper\", \"parameters\": {}}, {\"tool\": \"optimization_advisor\", \"parameters\": {\"target_metric\": \"area\"}}, {\"tool\": \"static_analyzer\", \"parameters\": {\"analysis_type\": \"full\"}}]", "stage2_context": "Question: For NV_BLKBOX_BUFFER, an area-focused optimization flow suggests aggressive resource sharing and estimates an area change. Given how the module's RTL maps onto its netlist and what the code structure actually contains, is that area optimization worth pursuing?\n\n[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"Y\": [\n \"Y\"\n ],\n \"A\": [\n \"A\"\n ]\n },\n \"alignment_score\": 100.0,\n \"unmapped_elements\": [],\n \"mapping_statistics\": {\n \"rtl_signals\": 2,\n \"netlist_wires\": 2,\n \"netlist_cells\": 0,\n \"mapped_signals\": 2,\n \"unmapped_signals\": 0\n },\n \"error\": null\n}\n\n[optimization_advisor {\"target_metric\": \"area\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"area\",\n \"recommended_recipes\": [\n \"synth -top NV_BLKBOX_BUFFER -flatten\",\n \"opt -full; share -aggressive; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean -purge\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"resource_sharing\",\n \"description\": \"Share arithmetic operators\",\n \"command\": \"share -aggressive\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": -15.0,\n \"delay\": 5.0,\n \"power\": -10.0\n },\n \"trade_offs\": [\n \"Area optimization may increase delay\",\n \"Aggressive sharing increases routing complexity\"\n ],\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"NV_BLKBOX_BUFFER\",\n \"port_count\": {\n \"inputs\": 1,\n \"outputs\": 1,\n \"inouts\": 0,\n \"total\": 2\n },\n \"signal_count\": {\n \"wires\": 0,\n \"regs\": 0,\n \"parameters\": 0,\n \"total\": 0\n },\n \"always_blocks\": 0,\n \"assign_statements\": 1,\n \"instantiations\": [],\n \"code_complexity\": {\n \"lines_of_code\": 8,\n \"total_lines\": 23,\n \"cyclomatic_complexity\": 2,\n \"nesting_depth\": 0,\n \"operator_count\": 146\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "plan_id": "7b71ae10bafa", "design_id": "aa6231e9f6da", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 3, "ctx_cap": 3300, "source": {"repository": "https://github.com/nvdla/hw", "commit": "8e06b1b9d85aab65b40d43d08eec5ea4681ff715", "path": "vmod/vlibs/NV_BLKBOX_BUFFER.v", "sha256": "03f78348a1f6b07362c392876e56e19b47effd09e3c240c7a27ee77c51e027fd"}} {"question": "The macro_only module has an empty CDFG with no nodes or edges. Does that fit what its structure shows, meaning its port count, wire count and instantiated submodules? What does it say about where the module's logic actually lives?", "answer": "It fits: the CDFG for macro_only has 0 nodes and 0 edges, and the module has 0 ports, 0 always blocks and 0 assign statements, so it has no behavioral logic of its own to graph. Its only contents are 3 wires and instances of the hard macros HM_100x100_1x1 and HM_100x400_4x4, so all of its function lives inside those instantiated macros.", "source_file": "github_repos/The-OpenROAD-Project_OpenROAD/src/mpl/test/testcases/macro_only.v", "module_name": "macro_only", "tool_name": "graph_extractor+static_analyzer", "tool_parameters": [{"graph_type": "CDFG"}, {"analysis_type": "full"}], "tool_result": "[graph_extractor {\"graph_type\": \"CDFG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"CDFG\",\n \"node_count\": 0,\n \"edge_count\": 0,\n \"graph_properties\": {\n \"node_types\": {},\n \"avg_degree\": 0.0,\n \"module_name\": \"macro_only\"\n },\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"macro_only\",\n \"port_count\": {\n \"inputs\": 0,\n \"outputs\": 0,\n \"inouts\": 0,\n \"total\": 0\n },\n \"signal_count\": {\n \"wires\": 3,\n \"regs\": 0,\n \"parameters\": 0,\n \"total\": 3\n },\n \"always_blocks\": 0,\n \"assign_statements\": 0,\n \"instantiations\": [\n \"HM_100x100_1x1\",\n \"HM_100x400_4x4\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 15,\n \"total_lines\": 19,\n \"cyclomatic_complexity\": 1,\n \"nesting_depth\": 0,\n \"operator_count\": 0\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "category": "multi_tool", "subcategory": "graph_extractor+static_analyzer", "difficulty": "compositional", "question_hash": "5a7b0c718742", "stage1_target": "[{\"tool\": \"graph_extractor\", \"parameters\": {\"graph_type\": \"CDFG\"}}, {\"tool\": \"static_analyzer\", \"parameters\": {\"analysis_type\": \"full\"}}]", "stage2_context": "Question: The macro_only module has an empty CDFG with no nodes or edges. Does that fit what its structure shows, meaning its port count, wire count and instantiated submodules? What does it say about where the module's logic actually lives?\n\n[graph_extractor {\"graph_type\": \"CDFG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"CDFG\",\n \"node_count\": 0,\n \"edge_count\": 0,\n \"graph_properties\": {\n \"node_types\": {},\n \"avg_degree\": 0.0,\n \"module_name\": \"macro_only\"\n },\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"macro_only\",\n \"port_count\": {\n \"inputs\": 0,\n \"outputs\": 0,\n \"inouts\": 0,\n \"total\": 0\n },\n \"signal_count\": {\n \"wires\": 3,\n \"regs\": 0,\n \"parameters\": 0,\n \"total\": 3\n },\n \"always_blocks\": 0,\n \"assign_statements\": 0,\n \"instantiations\": [\n \"HM_100x100_1x1\",\n \"HM_100x400_4x4\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 15,\n \"total_lines\": 19,\n \"cyclomatic_complexity\": 1,\n \"nesting_depth\": 0,\n \"operator_count\": 0\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "plan_id": "1ed451c2b0f2", "design_id": "aa6c8c0bea9f", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/The-OpenROAD-Project/OpenROAD", "commit": "3e3e483a4e3f98e2b5470b272040699de6dedbee", "path": "src/mpl/test/testcases/macro_only.v", "sha256": "4aeeeab9e4e2101169863faac5272fc739023375a1b22b3352467ca2b3c807dd"}} {"question": "For NV_NVDLA_SDP_NRDMA_gate, how much of the RTL actually survives into the netlist, how complex is the source code, and given that, is an area-targeted optimization flow worth running on this clock-gating wrapper?", "answer": "Only 10 of the 30 RTL signals in NV_NVDLA_SDP_NRDMA_gate map to the netlist, and there are 0 netlist cells. Most of its 315 lines of code and its cyclomatic complexity of 63 come from testpoint and coverage logic, along with the NV_CLK_gate_power instance. So the area-targeted flow's estimated -15.0 area improvement (with share -aggressive) has little real logic left to work on, and it would cost an estimated 5.0 in delay.", "source_file": "github_repos/nvdla_hw/vmod/nvdla/sdp/NV_NVDLA_SDP_NRDMA_gate.v", "module_name": "NV_NVDLA_SDP_NRDMA_gate", "tool_name": "cross_stage_mapper+optimization_advisor+static_analyzer", "tool_parameters": [{}, {"target_metric": "area"}, {"analysis_type": "full"}], "tool_result": "[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"assert2slcg_disable_clock_gating_0\": [],\n \"testpoint_got_reset_testpoint_0_internal_nvdla_core_rstn_with_clock_testpoint_0_internal_nvdla_core_clk\": [],\n \"testpoint_0_count_0\": [],\n \"dla_clk_ovr_on_sync\": [\n \"dla\n...[1929 chars elided]...\nrnal_nvdla_core_clk\",\n \"nrdma_enable\",\n \"testpoint_0_goal_0\",\n \"testpoint_1_goal_0\",\n \"testpoint_got_reset_testpoint_1_internal_nvdla_core_rstn_with_clock_testpoint_1_internal_nvdla_core_clk\",\n \"testpoint_1_internal_nvdla_core_rstn\",\n \"testpoint_0_goal_0_active\",\n \"testpoint_1_goal_0_active\",\n \"nvdla_core_clk_slcg_0_end_of_sim_clock_enable\",\n \"monitor_icg_summary_0\"\n ],\n \"mapping_statistics\": {\n \"rtl_signals\": 30,\n \"netlist_wires\": 24,\n \"netlist_cells\": 0,\n \"mapped_signals\": 10,\n \"unmapped_signals\": 20\n },\n \"error\": null\n}\n\n[optimization_advisor {\"target_metric\": \"area\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"area\",\n \"recommended_recipes\": [\n \"synth -top NV_NVDLA_SDP_NRDMA_gate -flatten\",\n \"opt -full; share -aggressive; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean -purge\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"resource_sharing\",\n \"description\": \"Share arithmetic operators\",\n \"command\": \"share -aggressive\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": -15.0,\n \"delay\": 5.0,\n \"power\": -10.0\n },\n \"trade_offs\": [\n \"Area optimization may increase delay\",\n \"Aggressive sharing increases routing complexity\"\n ],\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"NV_NVDLA_SDP_NRDMA_gate\",\n \"port_count\": {\n \"inputs\": 7,\n \"outputs\": 1,\n \"inouts\": 0,\n \"total\": 8\n },\n \"signal_count\": {\n \"wires\": 12,\n \"regs\": 12,\n \"parameters\": 0,\n \"total\": 24\n },\n \"always_blocks\": 11,\n \"assign\n...[17 chars elided]...\n \"instantiations\": [\n \"ASSOCIATE_TESTPOINT_NAME_GOAL_NUMBER\",\n \"SIMTOP_EOS_SIGNAL\",\n \"endif\",\n \"NV_CLK_gate_power\",\n \"FV_COVER_ON\",\n \"HAS_RETENTION_TESTPOINT_GOAL_0\",\n \"HAS_RETENTION_TESTPOINT_RESET_0\",\n \"COVER_PRINT_TESTPOINT_HITS\",\n \"HAS_RETENTION_TESTPOINT_RESET_1\",\n \"HAS_RETENTION_TESTPOINT_GOAL_1\",\n \"system_verilog_testpoint\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 315,\n \"total_lines\": 449,\n \"cyclomatic_complexity\": 63,\n \"nesting_depth\": 41,\n \"operator_count\": 669\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "category": "multi_tool", "subcategory": "cross_stage_mapper+optimization_advisor+static_analyzer", "difficulty": "compositional", "question_hash": "daee985fc3e4", "stage1_target": "[{\"tool\": \"cross_stage_mapper\", \"parameters\": {}}, {\"tool\": \"optimization_advisor\", \"parameters\": {\"target_metric\": \"area\"}}, {\"tool\": \"static_analyzer\", \"parameters\": {\"analysis_type\": \"full\"}}]", "stage2_context": "Question: For NV_NVDLA_SDP_NRDMA_gate, how much of the RTL actually survives into the netlist, how complex is the source code, and given that, is an area-targeted optimization flow worth running on this clock-gating wrapper?\n\n[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"assert2slcg_disable_clock_gating_0\": [],\n \"testpoint_got_reset_testpoint_0_internal_nvdla_core_rstn_with_clock_testpoint_0_internal_nvdla_core_clk\": [],\n \"testpoint_0_count_0\": [],\n \"dla_clk_ovr_on_sync\": [\n \"dla\n...[1929 chars elided]...\nrnal_nvdla_core_clk\",\n \"nrdma_enable\",\n \"testpoint_0_goal_0\",\n \"testpoint_1_goal_0\",\n \"testpoint_got_reset_testpoint_1_internal_nvdla_core_rstn_with_clock_testpoint_1_internal_nvdla_core_clk\",\n \"testpoint_1_internal_nvdla_core_rstn\",\n \"testpoint_0_goal_0_active\",\n \"testpoint_1_goal_0_active\",\n \"nvdla_core_clk_slcg_0_end_of_sim_clock_enable\",\n \"monitor_icg_summary_0\"\n ],\n \"mapping_statistics\": {\n \"rtl_signals\": 30,\n \"netlist_wires\": 24,\n \"netlist_cells\": 0,\n \"mapped_signals\": 10,\n \"unmapped_signals\": 20\n },\n \"error\": null\n}\n\n[optimization_advisor {\"target_metric\": \"area\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"area\",\n \"recommended_recipes\": [\n \"synth -top NV_NVDLA_SDP_NRDMA_gate -flatten\",\n \"opt -full; share -aggressive; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean -purge\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"resource_sharing\",\n \"description\": \"Share arithmetic operators\",\n \"command\": \"share -aggressive\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": -15.0,\n \"delay\": 5.0,\n \"power\": -10.0\n },\n \"trade_offs\": [\n \"Area optimization may increase delay\",\n \"Aggressive sharing increases routing complexity\"\n ],\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"NV_NVDLA_SDP_NRDMA_gate\",\n \"port_count\": {\n \"inputs\": 7,\n \"outputs\": 1,\n \"inouts\": 0,\n \"total\": 8\n },\n \"signal_count\": {\n \"wires\": 12,\n \"regs\": 12,\n \"parameters\": 0,\n \"total\": 24\n },\n \"always_blocks\": 11,\n \"assign\n...[17 chars elided]...\n \"instantiations\": [\n \"ASSOCIATE_TESTPOINT_NAME_GOAL_NUMBER\",\n \"SIMTOP_EOS_SIGNAL\",\n \"endif\",\n \"NV_CLK_gate_power\",\n \"FV_COVER_ON\",\n \"HAS_RETENTION_TESTPOINT_GOAL_0\",\n \"HAS_RETENTION_TESTPOINT_RESET_0\",\n \"COVER_PRINT_TESTPOINT_HITS\",\n \"HAS_RETENTION_TESTPOINT_RESET_1\",\n \"HAS_RETENTION_TESTPOINT_GOAL_1\",\n \"system_verilog_testpoint\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 315,\n \"total_lines\": 449,\n \"cyclomatic_complexity\": 63,\n \"nesting_depth\": 41,\n \"operator_count\": 669\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "plan_id": "5f7f04556026", "design_id": "aa8eaf7fb5e9", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 3, "ctx_cap": 3300, "source": {"repository": "https://github.com/nvdla/hw", "commit": "8e06b1b9d85aab65b40d43d08eec5ea4681ff715", "path": "vmod/nvdla/sdp/NV_NVDLA_SDP_NRDMA_gate.v", "sha256": "b83ec625dc915c5e6fae37bee81a77d5144d9bc3e4ec89d4a1b2751a95669291"}} {"question": "For module top, does the DFG structure agree with the source-level structural analysis and with the RTL-to-netlist signal mapping in describing this module as a pure wrapper around a single submodule with no internal logic of its own?", "answer": "Yes. The DFG for top has 4 nodes and 9 edges: one bus4 node plus 2 input ports and 1 output port. The source-level analysis agrees, finding a single bus4 instantiation with 0 always blocks, 0 assign statements and a cyclomatic complexity of 1, and the mapping lines up all 3 RTL signals with 3 netlist wires, using 0 netlist cells, at an alignment score of 100.0.", "source_file": "github_repos/The-OpenROAD-Project_OpenROAD/src/dbSta/test/bus1.v", "module_name": "top", "tool_name": "cross_stage_mapper+graph_extractor+static_analyzer", "tool_parameters": [{}, {"graph_type": "DFG"}, {"analysis_type": "full"}], "tool_result": "[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"in\": [\n \"in\"\n ],\n \"clk\": [\n \"clk\"\n ],\n \"out\": [\n \"out\"\n ]\n },\n \"alignment_score\": 100.0,\n \"unmapped_elements\": [],\n \"mapping_statistics\": {\n \"rtl_signals\": 3,\n \"netlist_wires\": 3,\n \"netlist_cells\": 0,\n \"mapped_signals\": 3,\n \"unmapped_signals\": 0\n },\n \"error\": null\n}\n\n[graph_extractor {\"graph_type\": \"DFG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"DFG\",\n...[713 chars elided]...\n \"node_count\": 4,\n \"edge_count\": 9,\n \"graph_properties\": {\n \"node_types\": {\n \"bus4\": 1,\n \"port_input\": 2,\n \"port_output\": 1\n },\n \"avg_degree\": 2.25,\n \"module_name\": \"top\"\n },\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"top\",\n \"port_count\": {\n \"inputs\": 2,\n \"outputs\": 1,\n \"inouts\": 0,\n \"total\": 3\n },\n \"signal_count\": {\n \"wires\": 0,\n \"regs\": 0,\n \"parameters\": 0,\n \"total\": 0\n },\n \"always_blocks\": 0,\n \"assign_statements\": 0,\n \"instantiations\": [\n \"bus4\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 6,\n \"total_lines\": 8,\n \"cyclomatic_complexity\": 1,\n \"nesting_depth\": 0,\n \"operator_count\": 0\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "category": "multi_tool", "subcategory": "cross_stage_mapper+graph_extractor+static_analyzer", "difficulty": "compositional", "question_hash": "0ab1c040b28d", "stage1_target": "[{\"tool\": \"cross_stage_mapper\", \"parameters\": {}}, {\"tool\": \"graph_extractor\", \"parameters\": {\"graph_type\": \"DFG\"}}, {\"tool\": \"static_analyzer\", \"parameters\": {\"analysis_type\": \"full\"}}]", "stage2_context": "Question: For module top, does the DFG structure agree with the source-level structural analysis and with the RTL-to-netlist signal mapping in describing this module as a pure wrapper around a single submodule with no internal logic of its own?\n\n[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"in\": [\n \"in\"\n ],\n \"clk\": [\n \"clk\"\n ],\n \"out\": [\n \"out\"\n ]\n },\n \"alignment_score\": 100.0,\n \"unmapped_elements\": [],\n \"mapping_statistics\": {\n \"rtl_signals\": 3,\n \"netlist_wires\": 3,\n \"netlist_cells\": 0,\n \"mapped_signals\": 3,\n \"unmapped_signals\": 0\n },\n \"error\": null\n}\n\n[graph_extractor {\"graph_type\": \"DFG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"DFG\",\n...[713 chars elided]...\n \"node_count\": 4,\n \"edge_count\": 9,\n \"graph_properties\": {\n \"node_types\": {\n \"bus4\": 1,\n \"port_input\": 2,\n \"port_output\": 1\n },\n \"avg_degree\": 2.25,\n \"module_name\": \"top\"\n },\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"top\",\n \"port_count\": {\n \"inputs\": 2,\n \"outputs\": 1,\n \"inouts\": 0,\n \"total\": 3\n },\n \"signal_count\": {\n \"wires\": 0,\n \"regs\": 0,\n \"parameters\": 0,\n \"total\": 0\n },\n \"always_blocks\": 0,\n \"assign_statements\": 0,\n \"instantiations\": [\n \"bus4\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 6,\n \"total_lines\": 8,\n \"cyclomatic_complexity\": 1,\n \"nesting_depth\": 0,\n \"operator_count\": 0\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "plan_id": "b716a183b652", "design_id": "add764c170ab", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 3, "ctx_cap": 3300, "source": {"repository": "https://github.com/The-OpenROAD-Project/OpenROAD", "commit": "3e3e483a4e3f98e2b5470b272040699de6dedbee", "path": "src/dbSta/test/bus1.v", "sha256": "524b2f71ea3cdde1e06a1a7c2ef6743b3564e773607d4bfd535082e2325a4bd7"}} {"question": "For the AN2D4PO4 module, does the RTL-to-netlist mapping cover every signal, and how does that fit with how simple the RTL source is structurally?", "answer": "AN2D4PO4 maps fully from RTL to netlist, with an alignment score of 100.0 and 2 mapped signals and 0 unmapped ones (A1 and Z). That fits the RTL source, which has only 1 input and 1 output, a single assign statement, no always blocks, and a cyclomatic complexity of 2.", "source_file": "github_repos/nvdla_hw/vmod/vlibs/AN2D4PO4.v", "module_name": "AN2D4PO4", "tool_name": "cross_stage_mapper+static_analyzer", "tool_parameters": [{}, {"analysis_type": "full"}], "tool_result": "[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"A1\": [\n \"A1\"\n ],\n \"Z\": [\n \"Z\"\n ]\n },\n \"alignment_score\": 100.0,\n \"unmapped_elements\": [],\n \"mapping_statistics\": {\n \"rtl_signals\": 2,\n \"netlist_wires\": 6,\n \"netlist_cells\": 0,\n \"mapped_signals\": 2,\n \"unmapped_signals\": 0\n },\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"AN2D4PO4\",\n \"port_count\": {\n \"inputs\": 1,\n \"outputs\": 1,\n \"inouts\": 0,\n \"total\": 2\n },\n \"signal_count\": {\n \"wires\": 0,\n \"regs\": 0,\n \"parameters\": 0,\n \"total\": 0\n },\n \"always_blocks\": 0,\n \"assign_statements\": 1,\n \"instantiations\": [],\n \"code_complexity\": {\n \"lines_of_code\": 9,\n \"total_lines\": 23,\n \"cyclomatic_complexity\": 2,\n \"nesting_depth\": 0,\n \"operator_count\": 147\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "category": "multi_tool", "subcategory": "cross_stage_mapper+static_analyzer", "difficulty": "compositional", "question_hash": "eb4dfb31289e", "stage1_target": "[{\"tool\": \"cross_stage_mapper\", \"parameters\": {}}, {\"tool\": \"static_analyzer\", \"parameters\": {\"analysis_type\": \"full\"}}]", "stage2_context": "Question: For the AN2D4PO4 module, does the RTL-to-netlist mapping cover every signal, and how does that fit with how simple the RTL source is structurally?\n\n[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"A1\": [\n \"A1\"\n ],\n \"Z\": [\n \"Z\"\n ]\n },\n \"alignment_score\": 100.0,\n \"unmapped_elements\": [],\n \"mapping_statistics\": {\n \"rtl_signals\": 2,\n \"netlist_wires\": 6,\n \"netlist_cells\": 0,\n \"mapped_signals\": 2,\n \"unmapped_signals\": 0\n },\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"AN2D4PO4\",\n \"port_count\": {\n \"inputs\": 1,\n \"outputs\": 1,\n \"inouts\": 0,\n \"total\": 2\n },\n \"signal_count\": {\n \"wires\": 0,\n \"regs\": 0,\n \"parameters\": 0,\n \"total\": 0\n },\n \"always_blocks\": 0,\n \"assign_statements\": 1,\n \"instantiations\": [],\n \"code_complexity\": {\n \"lines_of_code\": 9,\n \"total_lines\": 23,\n \"cyclomatic_complexity\": 2,\n \"nesting_depth\": 0,\n \"operator_count\": 147\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "plan_id": "cea54731a8fb", "design_id": "b04118626a62", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/nvdla/hw", "commit": "8e06b1b9d85aab65b40d43d08eec5ea4681ff715", "path": "vmod/vlibs/AN2D4PO4.v", "sha256": "904e5edc7fd8c10e318dd7bcae1e30b126851912c77f2ecd33cd427a59f58c7f"}} {"question": "For NV_NVDLA_ssync3d_c, how consistent are the RTL-to-netlist signal mapping, the DFG structure, and the static code profile with one another? Specifically, does the module contain any real logic of its own, or does it just wrap a single synchronizer instance?", "answer": "NV_NVDLA_ssync3d_c is a thin wrapper. The RTL-to-netlist mapping has an alignment score of 100.0, with 9 of 9 signals mapped and 0 netlist cells. The DFG has 7 nodes (one p_STRICTSYNC3DOTM_C_PPP instance, 5 input ports and 1 output port), and the static profile matches it: 0 always blocks, 0 regs, 2 assign statements and a single p_STRICTSYNC3DOTM_C_PPP instantiation.", "source_file": "github_repos/nvdla_hw/vmod/nvdla/car/NV_NVDLA_ssync3d_c.v", "module_name": "NV_NVDLA_ssync3d_c", "tool_name": "cross_stage_mapper+graph_extractor+static_analyzer", "tool_parameters": [{}, {"graph_type": "DFG"}, {"analysis_type": "full"}], "tool_result": "[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"sync_o\": [\n \"sync_o\"\n ],\n \"sync_i_o_clk_sync_dst_data\": [\n \"sync_i_o_clk_sync_dst_data\"\n ],\n \"o_rstn\": [\n \"o_rstn\"\n ],\n \"i_clk\": [\n \"i_clk\"\n ],\n \"i_rstn\": [\n \"i_rstn\"\n ],\n \n...[158 chars elided]...\ni_o_clk_sync_src_data_next\": [\n \"sync_i_o_clk_sync_src_data_next\"\n ],\n \"sync_i_o_clk_sync_src_data\": [\n \"sync_i_o_clk_sync_src_data_next\",\n \"sync_i_o_clk_sync_src_data\"\n ],\n \"o_clk\": [\n \"sync_i_o_clk_sync_dst_data\",\n \"sync_i_o_clk_sync_src_data_next\",\n \"sync_i_o_clk_sync_src_data\",\n \"o_clk\"\n ]\n },\n \"alignment_score\": 100.0,\n \"unmapped_elements\": [],\n \"mapping_statistics\": {\n \"rtl_signals\": 9,\n \"netlist_wires\": 9,\n \"netlist_cells\": 0,\n \"mapped_signals\": 9,\n \"unmapped_signals\": 0\n },\n \"error\": null\n}\n\n[graph_extractor {\"graph_type\": \"DFG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"DFG\",\n...[1193 chars elided]...\n \"node_count\": 7,\n \"edge_count\": 9,\n \"graph_properties\": {\n \"node_types\": {\n \"p_STRICTSYNC3DOTM_C_PPP\": 1,\n \"port_input\": 5,\n \"port_output\": 1\n },\n \"avg_degree\": 1.29,\n \"module_name\": \"NV_NVDLA_ssync3d_c\"\n },\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"NV_NVDLA_ssync3d_c\",\n \"port_count\": {\n \"inputs\": 5,\n \"outputs\": 1,\n \"inouts\": 0,\n \"total\": 6\n },\n \"signal_count\": {\n \"wires\": 3,\n \"regs\": 0,\n \"parameters\": 0,\n \"total\": 3\n },\n \"always_blocks\": 0,\n \"assign_statements\": 2,\n \"instantiations\": [\n \"p_STRICTSYNC3DOTM_C_PPP\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 31,\n \"total_lines\": 51,\n \"cyclomatic_complexity\": 2,\n \"nesting_depth\": 0,\n \"operator_count\": 151\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "category": "multi_tool", "subcategory": "cross_stage_mapper+graph_extractor+static_analyzer", "difficulty": "compositional", "question_hash": "4f05f0573499", "stage1_target": "[{\"tool\": \"cross_stage_mapper\", \"parameters\": {}}, {\"tool\": \"graph_extractor\", \"parameters\": {\"graph_type\": \"DFG\"}}, {\"tool\": \"static_analyzer\", \"parameters\": {\"analysis_type\": \"full\"}}]", "stage2_context": "Question: For NV_NVDLA_ssync3d_c, how consistent are the RTL-to-netlist signal mapping, the DFG structure, and the static code profile with one another? Specifically, does the module contain any real logic of its own, or does it just wrap a single synchronizer instance?\n\n[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"sync_o\": [\n \"sync_o\"\n ],\n \"sync_i_o_clk_sync_dst_data\": [\n \"sync_i_o_clk_sync_dst_data\"\n ],\n \"o_rstn\": [\n \"o_rstn\"\n ],\n \"i_clk\": [\n \"i_clk\"\n ],\n \"i_rstn\": [\n \"i_rstn\"\n ],\n \n...[158 chars elided]...\ni_o_clk_sync_src_data_next\": [\n \"sync_i_o_clk_sync_src_data_next\"\n ],\n \"sync_i_o_clk_sync_src_data\": [\n \"sync_i_o_clk_sync_src_data_next\",\n \"sync_i_o_clk_sync_src_data\"\n ],\n \"o_clk\": [\n \"sync_i_o_clk_sync_dst_data\",\n \"sync_i_o_clk_sync_src_data_next\",\n \"sync_i_o_clk_sync_src_data\",\n \"o_clk\"\n ]\n },\n \"alignment_score\": 100.0,\n \"unmapped_elements\": [],\n \"mapping_statistics\": {\n \"rtl_signals\": 9,\n \"netlist_wires\": 9,\n \"netlist_cells\": 0,\n \"mapped_signals\": 9,\n \"unmapped_signals\": 0\n },\n \"error\": null\n}\n\n[graph_extractor {\"graph_type\": \"DFG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"DFG\",\n...[1193 chars elided]...\n \"node_count\": 7,\n \"edge_count\": 9,\n \"graph_properties\": {\n \"node_types\": {\n \"p_STRICTSYNC3DOTM_C_PPP\": 1,\n \"port_input\": 5,\n \"port_output\": 1\n },\n \"avg_degree\": 1.29,\n \"module_name\": \"NV_NVDLA_ssync3d_c\"\n },\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"NV_NVDLA_ssync3d_c\",\n \"port_count\": {\n \"inputs\": 5,\n \"outputs\": 1,\n \"inouts\": 0,\n \"total\": 6\n },\n \"signal_count\": {\n \"wires\": 3,\n \"regs\": 0,\n \"parameters\": 0,\n \"total\": 3\n },\n \"always_blocks\": 0,\n \"assign_statements\": 2,\n \"instantiations\": [\n \"p_STRICTSYNC3DOTM_C_PPP\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 31,\n \"total_lines\": 51,\n \"cyclomatic_complexity\": 2,\n \"nesting_depth\": 0,\n \"operator_count\": 151\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "plan_id": "655204238196", "design_id": "b0277e149020", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 3, "ctx_cap": 3300, "source": {"repository": "https://github.com/nvdla/hw", "commit": "8e06b1b9d85aab65b40d43d08eec5ea4681ff715", "path": "vmod/nvdla/car/NV_NVDLA_ssync3d_c.v", "sha256": "196d75488e54336653dfb2441142c66349bc1e0e97785eecfa83c29ebf4519f8"}} {"question": "In the NV_NVDLA_glb module, does the AIG graph show the same three submodule instances and port count that a structural code review reports? And given the code's control complexity, does this module look like a pure structural wrapper?", "answer": "Yes. The AIG graph for NV_NVDLA_glb has 28 nodes: one each of NV_NVDLA_GLB_csb, NV_NVDLA_GLB_fc and NV_NVDLA_GLB_ic, plus 18 input and 7 output port nodes. This matches the code review's three instantiations and 25 total ports (18 inputs, 7 outputs). With 0 always blocks, 0 assign statements, 0 regs and a cyclomatic complexity of 2, the module is a pure structural wrapper that just wires 35 signals across 351 graph edges.", "source_file": "github_repos/nvdla_hw/vmod/nvdla/glb/NV_NVDLA_glb.v", "module_name": "NV_NVDLA_glb", "tool_name": "graph_extractor+static_analyzer", "tool_parameters": [{"graph_type": "AIG"}, {"analysis_type": "full"}], "tool_result": "[graph_extractor {\"graph_type\": \"AIG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"AIG\",\n...[23272 chars elided]...\n \"node_count\": 28,\n \"edge_count\": 351,\n \"graph_properties\": {\n \"node_types\": {\n \"NV_NVDLA_GLB_csb\": 1,\n \"NV_NVDLA_GLB_fc\": 1,\n \"NV_NVDLA_GLB_ic\": 1,\n \"port_input\": 18,\n \"port_output\": 7\n },\n \"avg_degree\": 12.54,\n \"module_name\": \"NV_NVDLA_glb\"\n },\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"NV_NVDLA_glb\",\n \"port_count\": {\n \"inputs\": 18,\n \"outputs\": 7,\n \"inouts\": 0,\n \"total\": 25\n },\n \"signal_count\": {\n \"wires\": 35,\n \"regs\": 0,\n \"parameters\": 0,\n \"total\": 35\n },\n \"always_blocks\": 0,\n \"assign_statements\": 0,\n \"instantiations\": [\n \"NV_NVDLA_GLB_ic\",\n \"NV_NVDLA_GLB_csb\",\n \"NV_NVDLA_GLB_fc\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 195,\n \"total_lines\": 250,\n \"cyclomatic_complexity\": 2,\n \"nesting_depth\": 0,\n \"operator_count\": 1162\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "category": "multi_tool", "subcategory": "graph_extractor+static_analyzer", "difficulty": "compositional", "question_hash": "1dee6962eb2b", "stage1_target": "[{\"tool\": \"graph_extractor\", \"parameters\": {\"graph_type\": \"AIG\"}}, {\"tool\": \"static_analyzer\", \"parameters\": {\"analysis_type\": \"full\"}}]", "stage2_context": "Question: In the NV_NVDLA_glb module, does the AIG graph show the same three submodule instances and port count that a structural code review reports? And given the code's control complexity, does this module look like a pure structural wrapper?\n\n[graph_extractor {\"graph_type\": \"AIG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"AIG\",\n...[23272 chars elided]...\n \"node_count\": 28,\n \"edge_count\": 351,\n \"graph_properties\": {\n \"node_types\": {\n \"NV_NVDLA_GLB_csb\": 1,\n \"NV_NVDLA_GLB_fc\": 1,\n \"NV_NVDLA_GLB_ic\": 1,\n \"port_input\": 18,\n \"port_output\": 7\n },\n \"avg_degree\": 12.54,\n \"module_name\": \"NV_NVDLA_glb\"\n },\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"NV_NVDLA_glb\",\n \"port_count\": {\n \"inputs\": 18,\n \"outputs\": 7,\n \"inouts\": 0,\n \"total\": 25\n },\n \"signal_count\": {\n \"wires\": 35,\n \"regs\": 0,\n \"parameters\": 0,\n \"total\": 35\n },\n \"always_blocks\": 0,\n \"assign_statements\": 0,\n \"instantiations\": [\n \"NV_NVDLA_GLB_ic\",\n \"NV_NVDLA_GLB_csb\",\n \"NV_NVDLA_GLB_fc\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 195,\n \"total_lines\": 250,\n \"cyclomatic_complexity\": 2,\n \"nesting_depth\": 0,\n \"operator_count\": 1162\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "plan_id": "509455111e4f", "design_id": "aea6a296332e", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/nvdla/hw", "commit": "8e06b1b9d85aab65b40d43d08eec5ea4681ff715", "path": "vmod/nvdla/glb/NV_NVDLA_glb.v", "sha256": "b352af691985f5f024a820ae8cb932f96b0386ff0ff83ae3911c87baa52cfac4"}} {"question": "For NV_NVDLA_SDP_RDMA_REG_dual, the medium-effort synthesized netlist comes to an area of 2938.0 with 606 flip-flops. If I apply the recommended area-targeted optimization flow, what area change and delay penalty should I expect, and given how the cell mix is split between registers and logic, which suggested technique is most likely to help?", "answer": "NV_NVDLA_SDP_RDMA_REG_dual synthesizes to an area of 2938.0 and a delay of 511.04, with 604 $_DFFE_PN0P_ registers alongside a large amount of logic, including 690 $_AND_ and 660 $_NAND_ cells. The area-targeted flow estimates a -15.0 area change in exchange for a 5.0 delay increase. Because this is a register file made mostly of enable flops and mux-like AND/NAND logic rather than arithmetic, the mux-sharing step (muxcover; opt) is more likely to cut area than share -aggressive.", "source_file": "github_repos/nvdla_hw/vmod/nvdla/sdp/NV_NVDLA_SDP_RDMA_REG_dual.v", "module_name": "NV_NVDLA_SDP_RDMA_REG_dual", "tool_name": "optimization_advisor+synthesis_tool", "tool_parameters": [{"target_metric": "area"}, {"optimization_level": "medium"}], "tool_result": "[optimization_advisor {\"target_metric\": \"area\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"area\",\n \"recommended_recipes\": [\n \"synth -top NV_NVDLA_SDP_RDMA_REG_dual -flatten\",\n \"opt -full; share -aggressive; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean -purge\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"mux_optimization\",\n \"description\": \"Share multiplexers where possible\",\n \"command\": \"muxcover; opt\"\n },\n {\n \"type\": \"resource_sharing\",\n \"description\": \"Share arithmetic operators\",\n \"command\": \"share -aggressive\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": -15.0,\n \"delay\": 5.0,\n \"power\": -10.0\n },\n \"trade_offs\": [\n \"Area optimization may increase delay\",\n \"Aggressive sharing increases routing complexity\"\n ],\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 2938.0,\n \"delay\": 511.04,\n \"power\": 2.803,\n \"gate_count\": 2803,\n \"cell_breakdown\": {\n \"$_ANDNOT_\": 207,\n \"$_AND_\": 690,\n \"$_DFFE_PN0P_\": 604,\n \"$_DFFE_PN1P_\": 2,\n \"$_NAND_\": 660,\n \"$_NOR_\": 380,\n \"$_NOT_\": 4,\n \"$_ORNOT_\": 67,\n \"$_OR_\": 189\n },\n \"wire_count\": 2262,\n \"wire_bits\": 4208,\n \"critical_path_estimate\": 511.04,\n...[1283 chars elided]...\n \"error\": null\n}", "category": "multi_tool", "subcategory": "optimization_advisor+synthesis_tool", "difficulty": "compositional", "question_hash": "51435dfc27e9", "stage1_target": "[{\"tool\": \"optimization_advisor\", \"parameters\": {\"target_metric\": \"area\"}}, {\"tool\": \"synthesis_tool\", \"parameters\": {\"optimization_level\": \"medium\"}}]", "stage2_context": "Question: For NV_NVDLA_SDP_RDMA_REG_dual, the medium-effort synthesized netlist comes to an area of 2938.0 with 606 flip-flops. If I apply the recommended area-targeted optimization flow, what area change and delay penalty should I expect, and given how the cell mix is split between registers and logic, which suggested technique is most likely to help?\n\n[optimization_advisor {\"target_metric\": \"area\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"area\",\n \"recommended_recipes\": [\n \"synth -top NV_NVDLA_SDP_RDMA_REG_dual -flatten\",\n \"opt -full; share -aggressive; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean -purge\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"mux_optimization\",\n \"description\": \"Share multiplexers where possible\",\n \"command\": \"muxcover; opt\"\n },\n {\n \"type\": \"resource_sharing\",\n \"description\": \"Share arithmetic operators\",\n \"command\": \"share -aggressive\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": -15.0,\n \"delay\": 5.0,\n \"power\": -10.0\n },\n \"trade_offs\": [\n \"Area optimization may increase delay\",\n \"Aggressive sharing increases routing complexity\"\n ],\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 2938.0,\n \"delay\": 511.04,\n \"power\": 2.803,\n \"gate_count\": 2803,\n \"cell_breakdown\": {\n \"$_ANDNOT_\": 207,\n \"$_AND_\": 690,\n \"$_DFFE_PN0P_\": 604,\n \"$_DFFE_PN1P_\": 2,\n \"$_NAND_\": 660,\n \"$_NOR_\": 380,\n \"$_NOT_\": 4,\n \"$_ORNOT_\": 67,\n \"$_OR_\": 189\n },\n \"wire_count\": 2262,\n \"wire_bits\": 4208,\n \"critical_path_estimate\": 511.04,\n...[1283 chars elided]...\n \"error\": null\n}", "plan_id": "616afb41fe9f", "design_id": "b0e677d22ba6", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/nvdla/hw", "commit": "8e06b1b9d85aab65b40d43d08eec5ea4681ff715", "path": "vmod/nvdla/sdp/NV_NVDLA_SDP_RDMA_REG_dual.v", "sha256": "de4e44c2490d6f78dcd21afb879538d872c8d13b8abcb8a767536c33205d470c"}} {"question": "For module top, the RTL-to-netlist signal mapping looks fully aligned and the medium-effort synthesis result is tiny. Given that, how much does it make sense to apply the delay-targeted optimization recipe, considering its estimated improvement and trade-offs?", "answer": "Module top maps cleanly from RTL to netlist, with an alignment_score of 100.0 and 0 unmapped signals, and synthesis produces only 2 gates (one BUF_X1 and one MOD submodule) with a delay of 61.56 and an area of 2.0. The delay-targeted recipe estimates a -20.0 change in delay, but at the cost of area 10.0 and power 5.0, and its pipelining and splitnets suggestions offer little real benefit for a pass-through design this small, so the gain is probably not worth the extra area and power.", "source_file": "github_repos/The-OpenROAD-Project_OpenROAD/src/rsz/test/cpp/TestBufferRemoval3_6.v", "module_name": "top", "tool_name": "cross_stage_mapper+optimization_advisor+synthesis_tool", "tool_parameters": [{}, {"target_metric": "delay"}, {"optimization_level": "medium"}], "tool_result": "[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"clk\": [\n \"clk\"\n ],\n \"mod_out\": [\n \"mod_out\"\n ],\n \"mod_in\": [\n \"mod_in\"\n ],\n \"in\": [\n \"in\",\n \"mod_in\"\n ],\n \"out\": [\n \"mod_out\",\n \"out\"\n ]\n },\n \"alignment_score\": 100.0,\n \"unmapped_elements\": [],\n \"mapping_statistics\": {\n \"rtl_signals\": 5,\n \"netlist_wires\": 5,\n \"netlist_cells\": 0,\n \"mapped_signals\": 5,\n \"unmapped_signals\": 0\n },\n \"error\": null\n}\n\n[optimization_advisor {\"target_metric\": \"delay\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"delay\",\n \"recommended_recipes\": [\n \"synth -top top\",\n \"opt -fast\",\n \"abc -fast -liberty stdcells.lib\",\n \"opt_clean\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"pipeline_insertion\",\n \"description\": \"Consider pipelining arithmetic operations\",\n \"command\": \"Use register retiming\"\n },\n {\n \"type\": \"logic_duplication\",\n \"description\": \"Duplicate logic to reduce fanout\",\n \"command\": \"splitnets -driver\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": 10.0,\n \"delay\": -20.0,\n \"power\": 5.0\n },\n \"trade_offs\": [\n \"Speed optimization increases area\",\n \"Higher power consumption\"\n ],\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 2.0,\n \"delay\": 61.56,\n \"power\": 0.002,\n \"gate_count\": 2,\n \"cell_breakdown\": {\n \"BUF_X1\": 1,\n \"MOD\": 1\n },\n \"wire_count\": 3,\n \"wire_bits\": 3,\n \"critical_path_estimate\": 61.56,\n...[1571 chars elided]...\n \"error\": null\n}", "category": "multi_tool", "subcategory": "cross_stage_mapper+optimization_advisor+synthesis_tool", "difficulty": "compositional", "question_hash": "81f841721257", "stage1_target": "[{\"tool\": \"cross_stage_mapper\", \"parameters\": {}}, {\"tool\": \"optimization_advisor\", \"parameters\": {\"target_metric\": \"delay\"}}, {\"tool\": \"synthesis_tool\", \"parameters\": {\"optimization_level\": \"medium\"}}]", "stage2_context": "Question: For module top, the RTL-to-netlist signal mapping looks fully aligned and the medium-effort synthesis result is tiny. Given that, how much does it make sense to apply the delay-targeted optimization recipe, considering its estimated improvement and trade-offs?\n\n[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"clk\": [\n \"clk\"\n ],\n \"mod_out\": [\n \"mod_out\"\n ],\n \"mod_in\": [\n \"mod_in\"\n ],\n \"in\": [\n \"in\",\n \"mod_in\"\n ],\n \"out\": [\n \"mod_out\",\n \"out\"\n ]\n },\n \"alignment_score\": 100.0,\n \"unmapped_elements\": [],\n \"mapping_statistics\": {\n \"rtl_signals\": 5,\n \"netlist_wires\": 5,\n \"netlist_cells\": 0,\n \"mapped_signals\": 5,\n \"unmapped_signals\": 0\n },\n \"error\": null\n}\n\n[optimization_advisor {\"target_metric\": \"delay\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"delay\",\n \"recommended_recipes\": [\n \"synth -top top\",\n \"opt -fast\",\n \"abc -fast -liberty stdcells.lib\",\n \"opt_clean\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"pipeline_insertion\",\n \"description\": \"Consider pipelining arithmetic operations\",\n \"command\": \"Use register retiming\"\n },\n {\n \"type\": \"logic_duplication\",\n \"description\": \"Duplicate logic to reduce fanout\",\n \"command\": \"splitnets -driver\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": 10.0,\n \"delay\": -20.0,\n \"power\": 5.0\n },\n \"trade_offs\": [\n \"Speed optimization increases area\",\n \"Higher power consumption\"\n ],\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 2.0,\n \"delay\": 61.56,\n \"power\": 0.002,\n \"gate_count\": 2,\n \"cell_breakdown\": {\n \"BUF_X1\": 1,\n \"MOD\": 1\n },\n \"wire_count\": 3,\n \"wire_bits\": 3,\n \"critical_path_estimate\": 61.56,\n...[1571 chars elided]...\n \"error\": null\n}", "plan_id": "829c3b188cf0", "design_id": "b15fca6227b7", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 3, "ctx_cap": 3300, "source": {"repository": "https://github.com/The-OpenROAD-Project/OpenROAD", "commit": "3e3e483a4e3f98e2b5470b272040699de6dedbee", "path": "src/rsz/test/cpp/TestBufferRemoval3_6.v", "sha256": "76d4d05d4de81af95ae0274398e8c6f9e57d1db1be0493df3095c8a4eaefd457"}} {"question": "For NV_NVDLA_CACC_slcg, is an aggressive area-targeted optimization flow worth it? Answer using the synthesized cell count and mix, the module's structure from static analysis (port count and always blocks), and the estimated area improvement and trade-offs of the area-optimization recommendation.", "answer": "NV_NVDLA_CACC_slcg synthesizes to only 5 cells (2 $_NAND_, 1 $_NOR_, 1 $_OR_ and one NV_CLK_gate_power) with an area of 5.0 and a delay of 71.31. That is very small next to its 307 lines of code, 10 always blocks and 8 ports, because most of the source is testpoint and coverage scaffolding rather than logic. The area recommendation's estimated -15.0 area improvement relies on 'share -aggressive' to share arithmetic operators, and this netlist has no operators to share, so the gain is unlikely and the stated trade-off of a 5.0 delay increase is probably not worth it.", "source_file": "github_repos/nvdla_hw/vmod/nvdla/cacc/NV_NVDLA_CACC_slcg.v", "module_name": "NV_NVDLA_CACC_slcg", "tool_name": "optimization_advisor+static_analyzer+synthesis_tool", "tool_parameters": [{"target_metric": "area"}, {"analysis_type": "full"}, {"optimization_level": "medium"}], "tool_result": "[optimization_advisor {\"target_metric\": \"area\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"area\",\n \"recommended_recipes\": [\n \"synth -top NV_NVDLA_CACC_slcg -flatten\",\n \"opt -full; share -aggressive; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean -purge\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"resource_sharing\",\n \"description\": \"Share arithmetic operators\",\n \"command\": \"share -aggressive\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": -15.0,\n \"delay\": 5.0,\n \"power\": -10.0\n },\n \"trade_offs\": [\n \"Area optimization may increase delay\",\n \"Aggressive sharing increases routing complexity\"\n ],\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"NV_NVDLA_CACC_slcg\",\n \"port_count\": {\n \"inputs\": 7,\n \"outputs\": 1,\n \"inouts\": 0,\n \"total\": 8\n },\n \"signal_count\": {\n \"wires\": 12,\n \"regs\": 11,\n \"parameters\": 0,\n \"total\": 23\n },\n \"always_blocks\": 10,\n \"assign_stat\n...[12 chars elided]...\n \"instantiations\": [\n \"ASSOCIATE_TESTPOINT_NAME_GOAL_NUMBER\",\n \"SIMTOP_EOS_SIGNAL\",\n \"endif\",\n \"NV_CLK_gate_power\",\n \"FV_COVER_ON\",\n \"HAS_RETENTION_TESTPOINT_GOAL_0\",\n \"HAS_RETENTION_TESTPOINT_RESET_0\",\n \"COVER_PRINT_TESTPOINT_HITS\",\n \"HAS_RETENTION_TESTPOINT_RESET_1\",\n \"HAS_RETENTION_TESTPOINT_GOAL_1\",\n \"system_verilog_testpoint\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 307,\n \"total_lines\": 451,\n \"cyclomatic_complexity\": 61,\n \"nesting_depth\": 38,\n \"operator_count\": 547\n },\n \"lint_warnings\": [],\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 5.0,\n \"delay\": 71.31,\n \"power\": 0.005,\n \"gate_count\": 5,\n \"cell_breakdown\": {\n \"$_NAND_\": 2,\n \"$_NOR_\": 1,\n \"$_OR_\": 1,\n \"NV_CLK_gate_power\": 1\n },\n \"wire_count\": 12,\n \"wire_bits\": 12,\n \"critical_path_estimate\": 71.31,\n \"synthesis\n...[1596 chars elided]...\n \"error\": null\n}", "category": "multi_tool", "subcategory": "optimization_advisor+static_analyzer+synthesis_tool", "difficulty": "compositional", "question_hash": "2180aeb08548", "stage1_target": "[{\"tool\": \"optimization_advisor\", \"parameters\": {\"target_metric\": \"area\"}}, {\"tool\": \"static_analyzer\", \"parameters\": {\"analysis_type\": \"full\"}}, {\"tool\": \"synthesis_tool\", \"parameters\": {\"optimization_level\": \"medium\"}}]", "stage2_context": "Question: For NV_NVDLA_CACC_slcg, is an aggressive area-targeted optimization flow worth it? Answer using the synthesized cell count and mix, the module's structure from static analysis (port count and always blocks), and the estimated area improvement and trade-offs of the area-optimization recommendation.\n\n[optimization_advisor {\"target_metric\": \"area\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"area\",\n \"recommended_recipes\": [\n \"synth -top NV_NVDLA_CACC_slcg -flatten\",\n \"opt -full; share -aggressive; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean -purge\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"resource_sharing\",\n \"description\": \"Share arithmetic operators\",\n \"command\": \"share -aggressive\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": -15.0,\n \"delay\": 5.0,\n \"power\": -10.0\n },\n \"trade_offs\": [\n \"Area optimization may increase delay\",\n \"Aggressive sharing increases routing complexity\"\n ],\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"NV_NVDLA_CACC_slcg\",\n \"port_count\": {\n \"inputs\": 7,\n \"outputs\": 1,\n \"inouts\": 0,\n \"total\": 8\n },\n \"signal_count\": {\n \"wires\": 12,\n \"regs\": 11,\n \"parameters\": 0,\n \"total\": 23\n },\n \"always_blocks\": 10,\n \"assign_stat\n...[12 chars elided]...\n \"instantiations\": [\n \"ASSOCIATE_TESTPOINT_NAME_GOAL_NUMBER\",\n \"SIMTOP_EOS_SIGNAL\",\n \"endif\",\n \"NV_CLK_gate_power\",\n \"FV_COVER_ON\",\n \"HAS_RETENTION_TESTPOINT_GOAL_0\",\n \"HAS_RETENTION_TESTPOINT_RESET_0\",\n \"COVER_PRINT_TESTPOINT_HITS\",\n \"HAS_RETENTION_TESTPOINT_RESET_1\",\n \"HAS_RETENTION_TESTPOINT_GOAL_1\",\n \"system_verilog_testpoint\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 307,\n \"total_lines\": 451,\n \"cyclomatic_complexity\": 61,\n \"nesting_depth\": 38,\n \"operator_count\": 547\n },\n \"lint_warnings\": [],\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 5.0,\n \"delay\": 71.31,\n \"power\": 0.005,\n \"gate_count\": 5,\n \"cell_breakdown\": {\n \"$_NAND_\": 2,\n \"$_NOR_\": 1,\n \"$_OR_\": 1,\n \"NV_CLK_gate_power\": 1\n },\n \"wire_count\": 12,\n \"wire_bits\": 12,\n \"critical_path_estimate\": 71.31,\n \"synthesis\n...[1596 chars elided]...\n \"error\": null\n}", "plan_id": "88b04854d63b", "design_id": "b27c7ca0d057", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 3, "ctx_cap": 3300, "source": {"repository": "https://github.com/nvdla/hw", "commit": "8e06b1b9d85aab65b40d43d08eec5ea4681ff715", "path": "vmod/nvdla/cacc/NV_NVDLA_CACC_slcg.v", "sha256": "0d2f3eb8bd8a6785ae4835258b655b72d65c5c8836a2958302dd9044965fc6b7"}} {"question": "For oneHotClk_async_write_clock, the area-targeted optimization recommends aggressive arithmetic operator sharing. Does that make sense, given how the module is actually built (its ports, logic constructs and instantiations), and what area gain does the recommendation claim?", "answer": "For oneHotClk_async_write_clock, the area-targeted recipe claims an area change of -15.0 by using \"share -aggressive\", but the module has 0 inputs, 1 output, 0 always blocks and just 1 assign statement driven by an NV_BLKBOX_SRC0 instance. That leaves almost no arithmetic to share, so the claimed gain is unlikely to show up, and the listed delay cost of 5.0 is probably not worth paying.", "source_file": "github_repos/nvdla_hw/vmod/vlibs/oneHotClk_async_write_clock.v", "module_name": "oneHotClk_async_write_clock", "tool_name": "optimization_advisor+static_analyzer", "tool_parameters": [{"target_metric": "area"}, {"analysis_type": "full"}], "tool_result": "[optimization_advisor {\"target_metric\": \"area\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"area\",\n \"recommended_recipes\": [\n \"synth -top oneHotClk_async_write_clock -flatten\",\n \"opt -full; share -aggressive; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean -purge\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"resource_sharing\",\n \"description\": \"Share arithmetic operators\",\n \"command\": \"share -aggressive\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": -15.0,\n \"delay\": 5.0,\n \"power\": -10.0\n },\n \"trade_offs\": [\n \"Area optimization may increase delay\",\n \"Aggressive sharing increases routing complexity\"\n ],\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"oneHotClk_async_write_clock\",\n \"port_count\": {\n \"inputs\": 0,\n \"outputs\": 1,\n \"inouts\": 0,\n \"total\": 1\n },\n \"signal_count\": {\n \"wires\": 2,\n \"regs\": 0,\n \"parameters\": 0,\n \"total\": 2\n },\n \"always_blocks\": 0,\n \"assign_statements\": 1,\n \"instantiations\": [\n \"NV_BLKBOX_SRC0\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 11,\n \"total_lines\": 38,\n \"cyclomatic_complexity\": 3,\n \"nesting_depth\": 1,\n \"operator_count\": 185\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "category": "multi_tool", "subcategory": "optimization_advisor+static_analyzer", "difficulty": "compositional", "question_hash": "d0824948b3e3", "stage1_target": "[{\"tool\": \"optimization_advisor\", \"parameters\": {\"target_metric\": \"area\"}}, {\"tool\": \"static_analyzer\", \"parameters\": {\"analysis_type\": \"full\"}}]", "stage2_context": "Question: For oneHotClk_async_write_clock, the area-targeted optimization recommends aggressive arithmetic operator sharing. Does that make sense, given how the module is actually built (its ports, logic constructs and instantiations), and what area gain does the recommendation claim?\n\n[optimization_advisor {\"target_metric\": \"area\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"area\",\n \"recommended_recipes\": [\n \"synth -top oneHotClk_async_write_clock -flatten\",\n \"opt -full; share -aggressive; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean -purge\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"resource_sharing\",\n \"description\": \"Share arithmetic operators\",\n \"command\": \"share -aggressive\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": -15.0,\n \"delay\": 5.0,\n \"power\": -10.0\n },\n \"trade_offs\": [\n \"Area optimization may increase delay\",\n \"Aggressive sharing increases routing complexity\"\n ],\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"oneHotClk_async_write_clock\",\n \"port_count\": {\n \"inputs\": 0,\n \"outputs\": 1,\n \"inouts\": 0,\n \"total\": 1\n },\n \"signal_count\": {\n \"wires\": 2,\n \"regs\": 0,\n \"parameters\": 0,\n \"total\": 2\n },\n \"always_blocks\": 0,\n \"assign_statements\": 1,\n \"instantiations\": [\n \"NV_BLKBOX_SRC0\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 11,\n \"total_lines\": 38,\n \"cyclomatic_complexity\": 3,\n \"nesting_depth\": 1,\n \"operator_count\": 185\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "plan_id": "8a4d436d0622", "design_id": "b40b9863b74b", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/nvdla/hw", "commit": "8e06b1b9d85aab65b40d43d08eec5ea4681ff715", "path": "vmod/vlibs/oneHotClk_async_write_clock.v", "sha256": "eef7c727c38cabf354e2dc268433b47857e89d4564503a756e2a74ed4dbd1bfb"}} {"question": "For the sirv_aon_wrapper module, the source code shows 4 distinct submodule types instantiated and no always blocks. After medium-effort synthesis, how many instances of each of those submodule types remain, and do the generic logic gates and the one flip-flop cell suggest that the wrapper's top-level logic is mostly simple glue logic?", "answer": "The sirv_aon_wrapper source has 0 always blocks and 76 assign statements and instantiates sirv_ResetCatchAndSync, sirv_DeglitchShiftRegister, sirv_aon_porrst and sirv_aon. After synthesis, these show up as 2 sirv_ResetCatchAndSync, 3 sirv_DeglitchShiftRegister, 1 sirv_aon_porrst and 1 sirv_aon, plus 1 sirv_gnrl_dffr and only simple gates such as 10 $_NAND_ and 9 $_NOT_ cells, for a total of 34 cells and an area of 30.5. So the top-level logic is mostly lightweight glue logic.", "source_file": "github_repos/riscv-mcu_e203_hbirdv2/rtl/e203/perips/sirv_aon_wrapper.v", "module_name": "sirv_aon_wrapper", "tool_name": "static_analyzer+synthesis_tool", "tool_parameters": [{"analysis_type": "full"}, {"optimization_level": "medium"}], "tool_result": "[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"sirv_aon_wrapper\",\n \"port_count\": {\n \"inputs\": 34,\n \"outputs\": 70,\n \"inouts\": 0,\n \"total\": 104\n },\n \"signal_count\": {\n \"wires\": 48,\n \"regs\": 0,\n \"parameters\": 0,\n \"total\": 48\n },\n \"always_blocks\": 0,\n \"assign_statements\": 76,\n \"instantiations\": [\n \"sirv_ResetCatchAndSync\",\n \"sirv_DeglitchShiftRegister\",\n \"sirv_aon_porrst\",\n \"sirv_aon\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 336,\n \"total_lines\": 389,\n \"cyclomatic_complexity\": 3,\n \"nesting_depth\": 0,\n \"operator_count\": 154\n },\n \"lint_warnings\": [],\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 30.5,\n \"delay\": 113.52,\n \"power\": 0.034,\n \"gate_count\": 34,\n \"cell_breakdown\": {\n \"$_NAND_\": 10,\n \"$_NOR_\": 1,\n \"$_NOT_\": 9,\n \"$_ORNOT_\": 2,\n \"$_OR_\": 4,\n \"sirv_DeglitchShiftRegister\": 3,\n \"sirv_ResetCatchAndSync\": 2,\n \"sirv_aon\": 1,\n \"sirv_aon_porrst\": 1,\n \"sirv_gnrl_dffr\": 1\n },\n \"wire_count\": 160,\n \"wire_bits\": 444,\n \"critical_path_estimate\": 113.52,\n \"synt\n...[1326 chars elided]...\n \"error\": null\n}", "category": "multi_tool", "subcategory": "static_analyzer+synthesis_tool", "difficulty": "compositional", "question_hash": "0b2ad3139721", "stage1_target": "[{\"tool\": \"static_analyzer\", \"parameters\": {\"analysis_type\": \"full\"}}, {\"tool\": \"synthesis_tool\", \"parameters\": {\"optimization_level\": \"medium\"}}]", "stage2_context": "Question: For the sirv_aon_wrapper module, the source code shows 4 distinct submodule types instantiated and no always blocks. After medium-effort synthesis, how many instances of each of those submodule types remain, and do the generic logic gates and the one flip-flop cell suggest that the wrapper's top-level logic is mostly simple glue logic?\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"sirv_aon_wrapper\",\n \"port_count\": {\n \"inputs\": 34,\n \"outputs\": 70,\n \"inouts\": 0,\n \"total\": 104\n },\n \"signal_count\": {\n \"wires\": 48,\n \"regs\": 0,\n \"parameters\": 0,\n \"total\": 48\n },\n \"always_blocks\": 0,\n \"assign_statements\": 76,\n \"instantiations\": [\n \"sirv_ResetCatchAndSync\",\n \"sirv_DeglitchShiftRegister\",\n \"sirv_aon_porrst\",\n \"sirv_aon\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 336,\n \"total_lines\": 389,\n \"cyclomatic_complexity\": 3,\n \"nesting_depth\": 0,\n \"operator_count\": 154\n },\n \"lint_warnings\": [],\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 30.5,\n \"delay\": 113.52,\n \"power\": 0.034,\n \"gate_count\": 34,\n \"cell_breakdown\": {\n \"$_NAND_\": 10,\n \"$_NOR_\": 1,\n \"$_NOT_\": 9,\n \"$_ORNOT_\": 2,\n \"$_OR_\": 4,\n \"sirv_DeglitchShiftRegister\": 3,\n \"sirv_ResetCatchAndSync\": 2,\n \"sirv_aon\": 1,\n \"sirv_aon_porrst\": 1,\n \"sirv_gnrl_dffr\": 1\n },\n \"wire_count\": 160,\n \"wire_bits\": 444,\n \"critical_path_estimate\": 113.52,\n \"synt\n...[1326 chars elided]...\n \"error\": null\n}", "plan_id": "bbc713f287ac", "design_id": "b43de332d789", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/riscv-mcu/e203_hbirdv2", "commit": "9f3e34f337f5d0a1236a285871ffa2032491617a", "path": "rtl/e203/perips/sirv_aon_wrapper.v", "sha256": "da4ba087072df5e1e1c290e9dca8f9f01726666d9e7f7ed7d6613d6218c99e3d"}} {"question": "For RAMDP_32X32_GL_M1_E2, how well do the RTL signals carry through to the gate-level netlist, and what does a medium-effort synthesis say about its area, delay and storage? Is the low RTL-to-netlist alignment explained by the latch-based storage that synthesis infers?", "answer": "RAMDP_32X32_GL_M1_E2 has an RTL-to-netlist alignment score of 44.44: only 28 of its 63 RTL signals map to the netlist, and 35 do not, including internal registers and latches such as ra_ff, wd_ff, we_lat and re_lat. That fits the medium-effort synthesis result, which reports area 5341.0, delay 390.89 and 4436 gates, made up mostly of 2048 $_NAND_ cells and 1024 $_DLATCH_N_ storage latches. The original RTL flops and latches appear to have been absorbed into this generic latch/NAND array, so most of them no longer exist under their RTL names.", "source_file": "github_repos/nvdla_hw/vmod/rams/model/RAMDP_32X32_GL_M1_E2.v", "module_name": "RAMDP_32X32_GL_M1_E2", "tool_name": "cross_stage_mapper+synthesis_tool", "tool_parameters": [{}, {"optimization_level": "medium"}], "tool_result": "[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"weclk\": [\n \"weclk_d1\",\n \"weclk_d2\",\n \"weclk\",\n \"weclk_d0\"\n ],\n \"check_x\": [],\n \"RD_31\": [\n \"RD_31\"\n ],\n \"ret_en_r_1p\": [],\n \"RA\": [\n \"RADR_2\",\n \"RADR_3\",\n \"RA\",\n \"RADR_1\",\n \"RADR_4\"\n ],\n \"RE\": [\n \"RE\",\n \"RET_EN\"\n ],\n \"WD\": [\n \"WD_11\",\n \"WD_17\",\n \"WD_31\",\n \"WD_20\",\n \n...[2215 chars elided]...\n [\n \"CLK_R\"\n ],\n \"disable_power_assertion_S1P2\": [],\n \"weclk_gating_1p\": [],\n \"we_ff\": [],\n \"addr\": [\n \"r0_addr\",\n \"w0_addr\"\n ],\n \"wa_ff\": [],\n \"clamp_o\": [\n \"clamp_o\"\n ],\n \"disable_power_assertion_S2P1\": []\n },\n \"alignment_score\": 44.44,\n \"unmapped_elements\": [\n \"check_x\",\n \"ret_en_r_1p\",\n \"ret_en_w_1p\",\n \"sleep_en_off_r_1p\",\n \"ra_ff\",\n \"weclk_gating\",\n \"rst_clk\",\n \"we_lat\",\n \"reclk_gating_1p\",\n \"dump_monitor_result\",\n \"output_valid\",\n \"data\",\n \"disable_power_assertion_S1P1\",\n \"re_lat\",\n \"wd_ff\",\n \"wd_lat\",\n \"monitor_on\",\n \"fault_mask\",\n \"sleep_en_off_w_1p\",\n \"sleep_en_or\"\n ],\n \"mapping_statistics\": {\n \"rtl_signals\": 63,\n \"netlist_wires\": 9412,\n \"netlist_cells\": 0,\n \"mapped_signals\": 28,\n \"unmapped_signals\": 35\n },\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 5341.0,\n \"delay\": 390.89,\n \"power\": 4.436,\n \"gate_count\": 4436,\n \"cell_breakdown\": {\n \"$_ANDNOT_\": 3,\n \"$_AND_\": 72,\n \"$_DLATCH_N_\": 1024,\n \"$_DLATCH_P_\": 44,\n \"$_NAND_\": 2048,\n \"$_NOR_\": 10,\n \"$_NOT_\": 1,\n \"$paramod$00e8d06b58d173189f08054bd0bc7ff00b6a4866\\\\vram_RAMDP_32X32_GL_M1_E2\": 1,\n \"RAM_BANK_RAMDP_32X32_GL_M1_E2\": 1\n },\n \"wire_count\": 99,\n \"wire_bits\": 177,\n...[1366 chars elided]...\n \"error\": null\n}", "category": "multi_tool", "subcategory": "cross_stage_mapper+synthesis_tool", "difficulty": "compositional", "question_hash": "9f131447506d", "stage1_target": "[{\"tool\": \"cross_stage_mapper\", \"parameters\": {}}, {\"tool\": \"synthesis_tool\", \"parameters\": {\"optimization_level\": \"medium\"}}]", "stage2_context": "Question: For RAMDP_32X32_GL_M1_E2, how well do the RTL signals carry through to the gate-level netlist, and what does a medium-effort synthesis say about its area, delay and storage? Is the low RTL-to-netlist alignment explained by the latch-based storage that synthesis infers?\n\n[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"weclk\": [\n \"weclk_d1\",\n \"weclk_d2\",\n \"weclk\",\n \"weclk_d0\"\n ],\n \"check_x\": [],\n \"RD_31\": [\n \"RD_31\"\n ],\n \"ret_en_r_1p\": [],\n \"RA\": [\n \"RADR_2\",\n \"RADR_3\",\n \"RA\",\n \"RADR_1\",\n \"RADR_4\"\n ],\n \"RE\": [\n \"RE\",\n \"RET_EN\"\n ],\n \"WD\": [\n \"WD_11\",\n \"WD_17\",\n \"WD_31\",\n \"WD_20\",\n \n...[2215 chars elided]...\n [\n \"CLK_R\"\n ],\n \"disable_power_assertion_S1P2\": [],\n \"weclk_gating_1p\": [],\n \"we_ff\": [],\n \"addr\": [\n \"r0_addr\",\n \"w0_addr\"\n ],\n \"wa_ff\": [],\n \"clamp_o\": [\n \"clamp_o\"\n ],\n \"disable_power_assertion_S2P1\": []\n },\n \"alignment_score\": 44.44,\n \"unmapped_elements\": [\n \"check_x\",\n \"ret_en_r_1p\",\n \"ret_en_w_1p\",\n \"sleep_en_off_r_1p\",\n \"ra_ff\",\n \"weclk_gating\",\n \"rst_clk\",\n \"we_lat\",\n \"reclk_gating_1p\",\n \"dump_monitor_result\",\n \"output_valid\",\n \"data\",\n \"disable_power_assertion_S1P1\",\n \"re_lat\",\n \"wd_ff\",\n \"wd_lat\",\n \"monitor_on\",\n \"fault_mask\",\n \"sleep_en_off_w_1p\",\n \"sleep_en_or\"\n ],\n \"mapping_statistics\": {\n \"rtl_signals\": 63,\n \"netlist_wires\": 9412,\n \"netlist_cells\": 0,\n \"mapped_signals\": 28,\n \"unmapped_signals\": 35\n },\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 5341.0,\n \"delay\": 390.89,\n \"power\": 4.436,\n \"gate_count\": 4436,\n \"cell_breakdown\": {\n \"$_ANDNOT_\": 3,\n \"$_AND_\": 72,\n \"$_DLATCH_N_\": 1024,\n \"$_DLATCH_P_\": 44,\n \"$_NAND_\": 2048,\n \"$_NOR_\": 10,\n \"$_NOT_\": 1,\n \"$paramod$00e8d06b58d173189f08054bd0bc7ff00b6a4866\\\\vram_RAMDP_32X32_GL_M1_E2\": 1,\n \"RAM_BANK_RAMDP_32X32_GL_M1_E2\": 1\n },\n \"wire_count\": 99,\n \"wire_bits\": 177,\n...[1366 chars elided]...\n \"error\": null\n}", "plan_id": "25980784a4f1", "design_id": "b452cfd210ae", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/nvdla/hw", "commit": "8e06b1b9d85aab65b40d43d08eec5ea4681ff715", "path": "vmod/rams/model/RAMDP_32X32_GL_M1_E2.v", "sha256": "acb4693e93eaa58e89436430a85980eace7d8c866f0582b19a12a0ae0bc8b775"}} {"question": "For sirv_aon_wrapper, do the input and output port counts in the AIG match the port counts from the source code? And does the AIG gate mix agree with the source-level view that this module is pure structural glue logic, with no local registers?", "answer": "In sirv_aon_wrapper the inputs match (34 port_input nodes in the AIG and 34 inputs in the source), but the outputs don't: the AIG has 69 port_output nodes while the source declares 70 outputs, so one output has no node of its own in the AIG. The AIG does agree that the module is glue logic: it is built from 119 $_AND_ and 175 $_NOT_ nodes plus submodule instances such as 3 sirv_DeglitchShiftRegister and 2 sirv_ResetCatchAndSync. The source matches this, with 0 always blocks, 0 regs and 76 assign statements.", "source_file": "github_repos/riscv-mcu_e203_hbirdv2/rtl/e203/perips/sirv_aon_wrapper.v", "module_name": "sirv_aon_wrapper", "tool_name": "graph_extractor+static_analyzer", "tool_parameters": [{"graph_type": "AIG"}, {"analysis_type": "full"}], "tool_result": "[graph_extractor {\"graph_type\": \"AIG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"AIG\",\n...[33200 chars elided]...\n \"node_count\": 405,\n \"edge_count\": 1042,\n \"graph_properties\": {\n \"node_types\": {\n \"$_AND_\": 119,\n \"$_NOT_\": 175,\n \"sirv_ResetCatchAndSync\": 2,\n \"sirv_DeglitchShiftRegister\": 3,\n \"sirv_gnrl_dffr\": 1,\n \"sirv_aon_porrst\": 1,\n \"sirv_aon\": 1,\n \"port_output\": 69,\n \"port_input\": 34\n },\n \"avg_degree\": 2.57,\n \"module_name\": \"sirv_aon_wrapper\"\n },\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"sirv_aon_wrapper\",\n \"port_count\": {\n \"inputs\": 34,\n \"outputs\": 70,\n \"inouts\": 0,\n \"total\": 104\n },\n \"signal_count\": {\n \"wires\": 48,\n \"regs\": 0,\n \"parameters\": 0,\n \"total\": 48\n },\n \"always_blocks\": 0,\n \"assign_statements\": 76,\n \"instantiations\": [\n \"sirv_ResetCatchAndSync\",\n \"sirv_DeglitchShiftRegister\",\n \"sirv_aon_porrst\",\n \"sirv_aon\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 336,\n \"total_lines\": 389,\n \"cyclomatic_complexity\": 3,\n \"nesting_depth\": 0,\n \"operator_count\": 154\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "category": "multi_tool", "subcategory": "graph_extractor+static_analyzer", "difficulty": "compositional", "question_hash": "94e92718e8cb", "stage1_target": "[{\"tool\": \"graph_extractor\", \"parameters\": {\"graph_type\": \"AIG\"}}, {\"tool\": \"static_analyzer\", \"parameters\": {\"analysis_type\": \"full\"}}]", "stage2_context": "Question: For sirv_aon_wrapper, do the input and output port counts in the AIG match the port counts from the source code? And does the AIG gate mix agree with the source-level view that this module is pure structural glue logic, with no local registers?\n\n[graph_extractor {\"graph_type\": \"AIG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"AIG\",\n...[33200 chars elided]...\n \"node_count\": 405,\n \"edge_count\": 1042,\n \"graph_properties\": {\n \"node_types\": {\n \"$_AND_\": 119,\n \"$_NOT_\": 175,\n \"sirv_ResetCatchAndSync\": 2,\n \"sirv_DeglitchShiftRegister\": 3,\n \"sirv_gnrl_dffr\": 1,\n \"sirv_aon_porrst\": 1,\n \"sirv_aon\": 1,\n \"port_output\": 69,\n \"port_input\": 34\n },\n \"avg_degree\": 2.57,\n \"module_name\": \"sirv_aon_wrapper\"\n },\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"sirv_aon_wrapper\",\n \"port_count\": {\n \"inputs\": 34,\n \"outputs\": 70,\n \"inouts\": 0,\n \"total\": 104\n },\n \"signal_count\": {\n \"wires\": 48,\n \"regs\": 0,\n \"parameters\": 0,\n \"total\": 48\n },\n \"always_blocks\": 0,\n \"assign_statements\": 76,\n \"instantiations\": [\n \"sirv_ResetCatchAndSync\",\n \"sirv_DeglitchShiftRegister\",\n \"sirv_aon_porrst\",\n \"sirv_aon\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 336,\n \"total_lines\": 389,\n \"cyclomatic_complexity\": 3,\n \"nesting_depth\": 0,\n \"operator_count\": 154\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "plan_id": "445b5799eab2", "design_id": "b43de332d789", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/riscv-mcu/e203_hbirdv2", "commit": "9f3e34f337f5d0a1236a285871ffa2032491617a", "path": "rtl/e203/perips/sirv_aon_wrapper.v", "sha256": "da4ba087072df5e1e1c290e9dca8f9f01726666d9e7f7ed7d6613d6218c99e3d"}} {"question": "For sirv_AsyncResetRegVec, does the RTL-to-netlist correspondence agree with the structure seen in its CDFG? Specifically, how fully do the signals map, and how many nodes and edges does the CDFG show around the single instantiated register?", "answer": "In sirv_AsyncResetRegVec, all 10 RTL signals map onto 10 netlist wires, with an alignment score of 100.0 and 0 netlist cells. This agrees with the CDFG, which has 6 nodes (one sirv_AsyncResetReg instance, 4 input ports and 1 output port) and 5 edges, linking reg_0's clk, d, en, q and rst pins directly to the ports.", "source_file": "github_repos/riscv-mcu_e203_hbirdv2/rtl/e203/perips/sirv_AsyncResetRegVec.v", "module_name": "sirv_AsyncResetRegVec", "tool_name": "cross_stage_mapper+graph_extractor", "tool_parameters": [{}, {"graph_type": "CDFG"}], "tool_result": "[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"reg_0_en\": [\n \"reg_0_en\"\n ],\n \"reg_0_rst\": [\n \"reg_0_rst\"\n ],\n \"clock\": [\n \"clock\"\n ],\n \"reg_0_clk\": [\n \"reg_0_clk\"\n ],\n \"reg_0_d\": [\n \"reg_0_d\"\n ],\n \"io_d\": [\n \"io_d\"\n ],\n \"io_q\": [\n \"io_q\"\n ],\n \"reg_0_q\": [\n \"reg_0_q\"\n ],\n \"io_en\": [\n \"io_en\"\n ],\n \"reset\": [\n \"reset\"\n ]\n },\n \"alignment_score\": 100.0,\n \"unmapped_elements\": [],\n \"mapping_statistics\": {\n \"rtl_signals\": 10,\n \"netlist_wires\": 10,\n \"netlist_cells\": 0,\n \"mapped_signals\": 10,\n \"unmapped_signals\": 0\n },\n \"error\": null\n}\n\n[graph_extractor {\"graph_type\": \"CDFG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"CDFG\",\n...[134 chars elided]...\n \"node_count\": 6,\n \"edge_count\": 5,\n \"graph_properties\": {\n \"node_types\": {\n \"sirv_AsyncResetReg\": 1,\n \"port_input\": 4,\n \"port_output\": 1\n },\n \"avg_degree\": 0.83,\n \"module_name\": \"sirv_AsyncResetRegVec\"\n },\n \"error\": null\n}", "category": "multi_tool", "subcategory": "cross_stage_mapper+graph_extractor", "difficulty": "compositional", "question_hash": "d804218412a7", "stage1_target": "[{\"tool\": \"cross_stage_mapper\", \"parameters\": {}}, {\"tool\": \"graph_extractor\", \"parameters\": {\"graph_type\": \"CDFG\"}}]", "stage2_context": "Question: For sirv_AsyncResetRegVec, does the RTL-to-netlist correspondence agree with the structure seen in its CDFG? Specifically, how fully do the signals map, and how many nodes and edges does the CDFG show around the single instantiated register?\n\n[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"reg_0_en\": [\n \"reg_0_en\"\n ],\n \"reg_0_rst\": [\n \"reg_0_rst\"\n ],\n \"clock\": [\n \"clock\"\n ],\n \"reg_0_clk\": [\n \"reg_0_clk\"\n ],\n \"reg_0_d\": [\n \"reg_0_d\"\n ],\n \"io_d\": [\n \"io_d\"\n ],\n \"io_q\": [\n \"io_q\"\n ],\n \"reg_0_q\": [\n \"reg_0_q\"\n ],\n \"io_en\": [\n \"io_en\"\n ],\n \"reset\": [\n \"reset\"\n ]\n },\n \"alignment_score\": 100.0,\n \"unmapped_elements\": [],\n \"mapping_statistics\": {\n \"rtl_signals\": 10,\n \"netlist_wires\": 10,\n \"netlist_cells\": 0,\n \"mapped_signals\": 10,\n \"unmapped_signals\": 0\n },\n \"error\": null\n}\n\n[graph_extractor {\"graph_type\": \"CDFG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"CDFG\",\n...[134 chars elided]...\n \"node_count\": 6,\n \"edge_count\": 5,\n \"graph_properties\": {\n \"node_types\": {\n \"sirv_AsyncResetReg\": 1,\n \"port_input\": 4,\n \"port_output\": 1\n },\n \"avg_degree\": 0.83,\n \"module_name\": \"sirv_AsyncResetRegVec\"\n },\n \"error\": null\n}", "plan_id": "17983d3e6c40", "design_id": "b47dd22bbf09", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/riscv-mcu/e203_hbirdv2", "commit": "9f3e34f337f5d0a1236a285871ffa2032491617a", "path": "rtl/e203/perips/sirv_AsyncResetRegVec.v", "sha256": "2675dd51b18345103da79ebb806afb23810a735f8bcc664e0b40d763d1eed1b9"}} {"question": "In the CDFG of sirv_AsyncResetRegVec, does the single register node actually connect to every port, and is that the same register that remains after medium-effort synthesis? Also, what area, delay and wire count does the synthesized result report?", "answer": "The CDFG of sirv_AsyncResetRegVec has 6 nodes and 5 edges. Its one sirv_AsyncResetReg node (reg_0) connects to the clk, d, en, q and rst ports, and medium-effort synthesis keeps that same single sirv_AsyncResetReg cell (gate_count 1). The synthesized result reports an area of 1.0, a delay of 50.0 and 10 wires.", "source_file": "github_repos/riscv-mcu_e203_hbirdv2/rtl/e203/perips/sirv_AsyncResetRegVec.v", "module_name": "sirv_AsyncResetRegVec", "tool_name": "graph_extractor+synthesis_tool", "tool_parameters": [{"graph_type": "CDFG"}, {"optimization_level": "medium"}], "tool_result": "[graph_extractor {\"graph_type\": \"CDFG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"CDFG\",\n...[134 chars elided]...\n \"node_count\": 6,\n \"edge_count\": 5,\n \"graph_properties\": {\n \"node_types\": {\n \"sirv_AsyncResetReg\": 1,\n \"port_input\": 4,\n \"port_output\": 1\n },\n \"avg_degree\": 0.83,\n \"module_name\": \"sirv_AsyncResetRegVec\"\n },\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 1.0,\n \"delay\": 50.0,\n \"power\": 0.001,\n \"gate_count\": 1,\n \"cell_breakdown\": {\n \"sirv_AsyncResetReg\": 1\n },\n \"wire_count\": 10,\n \"wire_bits\": 10,\n \"critical_path_estimate\": 50.0,\n...[1082 chars elided]...\n \"error\": null\n}", "category": "multi_tool", "subcategory": "graph_extractor+synthesis_tool", "difficulty": "compositional", "question_hash": "72def029637d", "stage1_target": "[{\"tool\": \"graph_extractor\", \"parameters\": {\"graph_type\": \"CDFG\"}}, {\"tool\": \"synthesis_tool\", \"parameters\": {\"optimization_level\": \"medium\"}}]", "stage2_context": "Question: In the CDFG of sirv_AsyncResetRegVec, does the single register node actually connect to every port, and is that the same register that remains after medium-effort synthesis? Also, what area, delay and wire count does the synthesized result report?\n\n[graph_extractor {\"graph_type\": \"CDFG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"CDFG\",\n...[134 chars elided]...\n \"node_count\": 6,\n \"edge_count\": 5,\n \"graph_properties\": {\n \"node_types\": {\n \"sirv_AsyncResetReg\": 1,\n \"port_input\": 4,\n \"port_output\": 1\n },\n \"avg_degree\": 0.83,\n \"module_name\": \"sirv_AsyncResetRegVec\"\n },\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 1.0,\n \"delay\": 50.0,\n \"power\": 0.001,\n \"gate_count\": 1,\n \"cell_breakdown\": {\n \"sirv_AsyncResetReg\": 1\n },\n \"wire_count\": 10,\n \"wire_bits\": 10,\n \"critical_path_estimate\": 50.0,\n...[1082 chars elided]...\n \"error\": null\n}", "plan_id": "ea670788602c", "design_id": "b47dd22bbf09", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/riscv-mcu/e203_hbirdv2", "commit": "9f3e34f337f5d0a1236a285871ffa2032491617a", "path": "rtl/e203/perips/sirv_AsyncResetRegVec.v", "sha256": "2675dd51b18345103da79ebb806afb23810a735f8bcc664e0b40d763d1eed1b9"}} {"question": "For the hi_fanout module, can you confirm that the RTL-to-netlist correspondence is complete, and relate it to the port and instance structure and the medium-effort synthesis results? Specifically, how many ports and instantiated cell types does the RTL have, what is the mapping alignment and signal count, and what are the resulting gate count, flip-flop count, and estimated critical-path delay?", "answer": "The hi_fanout module maps fully from RTL to netlist: the alignment score is 100.0, all 158 RTL signals are mapped, and none are unmapped. The RTL has 155 ports (4 inputs, 151 outputs) and instantiates NAND2_X4, DFF_X1 and submodule. Synthesis gives 154 gates, made up of 152 DFF_X1, 1 NAND2_X4 and 1 submodule, with a critical-path delay estimate of 226.58.", "source_file": "github_repos/The-OpenROAD-Project_OpenROAD/src/rsz/test/clone_hier.v", "module_name": "hi_fanout", "tool_name": "cross_stage_mapper+static_analyzer+synthesis_tool", "tool_parameters": [{}, {"analysis_type": "full"}, {"optimization_level": "medium"}], "tool_result": "[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"output136\": [\n \"output136\"\n ],\n \"output97\": [\n \"output97\"\n ],\n \"output55\": [\n \"output55\"\n ],\n \"output132\": [\n \"output132\"\n ],\n \"output120\": [\n \"output120\"\n ],\n \"output95\":\n...[7147 chars elided]...\noutput17\"\n ],\n \"output108\": [\n \"output108\"\n ],\n \"net0\": [\n \"net0\"\n ],\n \"output147\": [\n \"output147\"\n ],\n \"output101\": [\n \"output101\"\n ],\n \"output143\": [\n \"output143\"\n ],\n \"output8\": [\n \"output81\",\n \"output85\",\n \"output89\",\n \"output80\",\n \"output84\"\n ]\n },\n \"alignment_score\": 100.0,\n \"unmapped_elements\": [],\n \"mapping_statistics\": {\n \"rtl_signals\": 158,\n \"netlist_wires\": 158,\n \"netlist_cells\": 0,\n \"mapped_signals\": 158,\n \"unmapped_signals\": 0\n },\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"hi_fanout\",\n \"port_count\": {\n \"inputs\": 4,\n \"outputs\": 151,\n \"inouts\": 0,\n \"total\": 155\n },\n \"signal_count\": {\n \"wires\": 3,\n \"regs\": 0,\n \"parameters\": 0,\n \"total\": 3\n },\n \"always_blocks\": 0,\n \"assign_statements\": 0,\n \"instantiations\": [\n \"NAND2_X4\",\n \"DFF_X1\",\n \"submodule\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 778,\n \"total_lines\": 788,\n \"cyclomatic_complexity\": 1,\n \"nesting_depth\": 0,\n \"operator_count\": 2\n },\n \"lint_warnings\": [],\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 154.0,\n \"delay\": 226.58,\n \"power\": 0.154,\n \"gate_count\": 154,\n \"cell_breakdown\": {\n \"NAND2_X4\": 1,\n \"DFF_X1\": 152,\n \"submodule\": 1\n },\n \"wire_count\": 155,\n \"wire_bits\": 155,\n \"critical_path_estimate\": 226.58,\n...[1610 chars elided]...\n \"error\": null\n}", "category": "multi_tool", "subcategory": "cross_stage_mapper+static_analyzer+synthesis_tool", "difficulty": "compositional", "question_hash": "c47c2743d5a9", "stage1_target": "[{\"tool\": \"cross_stage_mapper\", \"parameters\": {}}, {\"tool\": \"static_analyzer\", \"parameters\": {\"analysis_type\": \"full\"}}, {\"tool\": \"synthesis_tool\", \"parameters\": {\"optimization_level\": \"medium\"}}]", "stage2_context": "Question: For the hi_fanout module, can you confirm that the RTL-to-netlist correspondence is complete, and relate it to the port and instance structure and the medium-effort synthesis results? Specifically, how many ports and instantiated cell types does the RTL have, what is the mapping alignment and signal count, and what are the resulting gate count, flip-flop count, and estimated critical-path delay?\n\n[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"output136\": [\n \"output136\"\n ],\n \"output97\": [\n \"output97\"\n ],\n \"output55\": [\n \"output55\"\n ],\n \"output132\": [\n \"output132\"\n ],\n \"output120\": [\n \"output120\"\n ],\n \"output95\":\n...[7147 chars elided]...\noutput17\"\n ],\n \"output108\": [\n \"output108\"\n ],\n \"net0\": [\n \"net0\"\n ],\n \"output147\": [\n \"output147\"\n ],\n \"output101\": [\n \"output101\"\n ],\n \"output143\": [\n \"output143\"\n ],\n \"output8\": [\n \"output81\",\n \"output85\",\n \"output89\",\n \"output80\",\n \"output84\"\n ]\n },\n \"alignment_score\": 100.0,\n \"unmapped_elements\": [],\n \"mapping_statistics\": {\n \"rtl_signals\": 158,\n \"netlist_wires\": 158,\n \"netlist_cells\": 0,\n \"mapped_signals\": 158,\n \"unmapped_signals\": 0\n },\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"hi_fanout\",\n \"port_count\": {\n \"inputs\": 4,\n \"outputs\": 151,\n \"inouts\": 0,\n \"total\": 155\n },\n \"signal_count\": {\n \"wires\": 3,\n \"regs\": 0,\n \"parameters\": 0,\n \"total\": 3\n },\n \"always_blocks\": 0,\n \"assign_statements\": 0,\n \"instantiations\": [\n \"NAND2_X4\",\n \"DFF_X1\",\n \"submodule\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 778,\n \"total_lines\": 788,\n \"cyclomatic_complexity\": 1,\n \"nesting_depth\": 0,\n \"operator_count\": 2\n },\n \"lint_warnings\": [],\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 154.0,\n \"delay\": 226.58,\n \"power\": 0.154,\n \"gate_count\": 154,\n \"cell_breakdown\": {\n \"NAND2_X4\": 1,\n \"DFF_X1\": 152,\n \"submodule\": 1\n },\n \"wire_count\": 155,\n \"wire_bits\": 155,\n \"critical_path_estimate\": 226.58,\n...[1610 chars elided]...\n \"error\": null\n}", "plan_id": "ff1eeb9b4e23", "design_id": "b556e830a26c", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 3, "ctx_cap": 3300, "source": {"repository": "https://github.com/The-OpenROAD-Project/OpenROAD", "commit": "3e3e483a4e3f98e2b5470b272040699de6dedbee", "path": "src/rsz/test/clone_hier.v", "sha256": "064583e56294c0a4058e46b5d6dccd6a0eac683ffdf75436ff9b8c7a7b73dba1"}} {"question": "The CDFG of the counter module contains only a single DFFPOSX1 driving the output port. Does the medium-effort synthesis result agree with that structure, and what area, delay and gate count does it report? Given those numbers, does this look like a real multi-bit counter or a degenerate one?", "answer": "The counter module's CDFG has only 2 nodes and 1 edge, a single DFFPOSX1 whose Q drives the 1-bit output port. Synthesis agrees, with a gate_count of 1 (one DFFPOSX1), area 1.0, delay 50.0 and 1 wire bit. So this is a degenerate 1-bit register with no increment logic, not a real multi-bit counter.", "source_file": "github_repos/The-OpenROAD-Project_OpenROAD/src/odb/test/data/floorplan_initialize2.v", "module_name": "counter", "tool_name": "graph_extractor+synthesis_tool", "tool_parameters": [{"graph_type": "CDFG"}, {"optimization_level": "medium"}], "tool_result": "[graph_extractor {\"graph_type\": \"CDFG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"CDFG\",\n \"node_count\": 2,\n \"edge_count\": 1,\n \"graph_properties\": {\n \"node_types\": {\n \"DFFPOSX1\": 1,\n \"port_output\": 1\n },\n \"avg_degree\": 0.5,\n \"module_name\": \"counter\"\n },\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 1.0,\n \"delay\": 50.0,\n \"power\": 0.001,\n \"gate_count\": 1,\n \"cell_breakdown\": {\n \"DFFPOSX1\": 1\n },\n \"wire_count\": 1,\n \"wire_bits\": 1,\n \"critical_path_estimate\": 50.0,\n...[1072 chars elided]...\n \"error\": null\n}", "category": "multi_tool", "subcategory": "graph_extractor+synthesis_tool", "difficulty": "compositional", "question_hash": "81cde528e891", "stage1_target": "[{\"tool\": \"graph_extractor\", \"parameters\": {\"graph_type\": \"CDFG\"}}, {\"tool\": \"synthesis_tool\", \"parameters\": {\"optimization_level\": \"medium\"}}]", "stage2_context": "Question: The CDFG of the counter module contains only a single DFFPOSX1 driving the output port. Does the medium-effort synthesis result agree with that structure, and what area, delay and gate count does it report? Given those numbers, does this look like a real multi-bit counter or a degenerate one?\n\n[graph_extractor {\"graph_type\": \"CDFG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"CDFG\",\n \"node_count\": 2,\n \"edge_count\": 1,\n \"graph_properties\": {\n \"node_types\": {\n \"DFFPOSX1\": 1,\n \"port_output\": 1\n },\n \"avg_degree\": 0.5,\n \"module_name\": \"counter\"\n },\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 1.0,\n \"delay\": 50.0,\n \"power\": 0.001,\n \"gate_count\": 1,\n \"cell_breakdown\": {\n \"DFFPOSX1\": 1\n },\n \"wire_count\": 1,\n \"wire_bits\": 1,\n \"critical_path_estimate\": 50.0,\n...[1072 chars elided]...\n \"error\": null\n}", "plan_id": "71a6a9bb8f9a", "design_id": "b5113f4e89e9", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/The-OpenROAD-Project/OpenROAD", "commit": "3e3e483a4e3f98e2b5470b272040699de6dedbee", "path": "src/odb/test/data/floorplan_initialize2.v", "sha256": "a9258a3f6bc9ca5a563edf9134d08d105cd04df6c7f20151a832d36b54ac078f"}} {"question": "For NV_NVDLA_cmac, is the RTL-to-netlist mapping consistent with the module's structure? Please compare the mapping's signal coverage and alignment with the module's port count and its list of submodule instances, and say what accounts for the one element that didn't map.", "answer": "NV_NVDLA_cmac reaches an alignment score of 99.66, with 289 of 290 RTL signals mapped to 289 netlist wires and no lint warnings. The module has 284 ports (269 inputs, 15 outputs) and only 1 reg. The single unmapped element, u_reg, matches the NV_NVDLA_CMAC_reg submodule instance and is not a missing datapath signal, since the module has 0 always blocks and 0 assign statements and simply wraps NV_NVDLA_CMAC_core and NV_NVDLA_CMAC_reg.", "source_file": "github_repos/nvdla_hw/vmod/nvdla/cmac/NV_NVDLA_cmac.v", "module_name": "NV_NVDLA_cmac", "tool_name": "cross_stage_mapper+static_analyzer", "tool_parameters": [{}, {"analysis_type": "full"}], "tool_result": "[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"sc2mac_dat_data46\": [\n \"sc2mac_dat_data46\"\n ],\n \"sc2mac_dat_data115\": [\n \"sc2mac_dat_data115\"\n ],\n \"sc2mac_wt_data127\": [\n \"sc2mac_wt_data127\"\n ],\n \"sc2mac_wt_data19\": [\n \"sc2mac_wt_data19\"\n ],\n \"sc2mac_wt_data89\": [\n \"sc2mac_wt_data89\"\n ],\n \"sc2mac_dat_data73\": [\n \"sc2mac_dat_data73\"\n ],\n \"sc2mac_dat_data56\"\n...[18653 chars elided]...\n \"sc2mac_wt_data113\": [\n \"sc2mac_wt_data113\"\n ],\n \"sc2mac_wt_data124\": [\n \"sc2mac_wt_data124\"\n ],\n \"sc2mac_wt_data8\": [\n \"sc2mac_wt_data89\",\n \"sc2mac_wt_data88\",\n \"sc2mac_wt_data81\",\n \"sc2mac_wt_data86\",\n \"sc2mac_wt_data84\"\n ],\n \"sc2mac_wt_data23\": [\n \"sc2mac_wt_data23\"\n ],\n \"sc2mac_dat_data70\": [\n \"sc2mac_dat_data70\"\n ],\n \"sc2mac_wt_data79\": [\n \"sc2mac_wt_data79\"\n ],\n \"mac2accu_data4\": [\n \"mac2accu_data4\"\n ],\n \"sc2mac_wt_data46\": [\n \"sc2mac_wt_data46\"\n ],\n \"sc2mac_wt_data84\": [\n \"sc2mac_wt_data84\"\n ]\n },\n \"alignment_score\": 99.66,\n \"unmapped_elements\": [\n \"u_reg\"\n ],\n \"mapping_statistics\": {\n \"rtl_signals\": 290,\n \"netlist_wires\": 289,\n \"netlist_cells\": 0,\n \"mapped_signals\": 289,\n \"unmapped_signals\": 1\n },\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"NV_NVDLA_cmac\",\n \"port_count\": {\n \"inputs\": 269,\n \"outputs\": 15,\n \"inouts\": 0,\n \"total\": 284\n },\n \"signal_count\": {\n \"wires\": 5,\n \"regs\": 1,\n \"parameters\": 0,\n \"total\": 6\n },\n \"always_blocks\": 0,\n \"assign_statements\": 0,\n \"instantiations\": [\n \"NV_NVDLA_CMAC_core\",\n \"NV_NVDLA_CMAC_reg\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 876,\n \"total_lines\": 908,\n \"cyclomatic_complexity\": 2,\n \"nesting_depth\": 0,\n \"operator_count\": 2747\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "category": "multi_tool", "subcategory": "cross_stage_mapper+static_analyzer", "difficulty": "compositional", "question_hash": "ba2ae58f3abd", "stage1_target": "[{\"tool\": \"cross_stage_mapper\", \"parameters\": {}}, {\"tool\": \"static_analyzer\", \"parameters\": {\"analysis_type\": \"full\"}}]", "stage2_context": "Question: For NV_NVDLA_cmac, is the RTL-to-netlist mapping consistent with the module's structure? Please compare the mapping's signal coverage and alignment with the module's port count and its list of submodule instances, and say what accounts for the one element that didn't map.\n\n[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"sc2mac_dat_data46\": [\n \"sc2mac_dat_data46\"\n ],\n \"sc2mac_dat_data115\": [\n \"sc2mac_dat_data115\"\n ],\n \"sc2mac_wt_data127\": [\n \"sc2mac_wt_data127\"\n ],\n \"sc2mac_wt_data19\": [\n \"sc2mac_wt_data19\"\n ],\n \"sc2mac_wt_data89\": [\n \"sc2mac_wt_data89\"\n ],\n \"sc2mac_dat_data73\": [\n \"sc2mac_dat_data73\"\n ],\n \"sc2mac_dat_data56\"\n...[18653 chars elided]...\n \"sc2mac_wt_data113\": [\n \"sc2mac_wt_data113\"\n ],\n \"sc2mac_wt_data124\": [\n \"sc2mac_wt_data124\"\n ],\n \"sc2mac_wt_data8\": [\n \"sc2mac_wt_data89\",\n \"sc2mac_wt_data88\",\n \"sc2mac_wt_data81\",\n \"sc2mac_wt_data86\",\n \"sc2mac_wt_data84\"\n ],\n \"sc2mac_wt_data23\": [\n \"sc2mac_wt_data23\"\n ],\n \"sc2mac_dat_data70\": [\n \"sc2mac_dat_data70\"\n ],\n \"sc2mac_wt_data79\": [\n \"sc2mac_wt_data79\"\n ],\n \"mac2accu_data4\": [\n \"mac2accu_data4\"\n ],\n \"sc2mac_wt_data46\": [\n \"sc2mac_wt_data46\"\n ],\n \"sc2mac_wt_data84\": [\n \"sc2mac_wt_data84\"\n ]\n },\n \"alignment_score\": 99.66,\n \"unmapped_elements\": [\n \"u_reg\"\n ],\n \"mapping_statistics\": {\n \"rtl_signals\": 290,\n \"netlist_wires\": 289,\n \"netlist_cells\": 0,\n \"mapped_signals\": 289,\n \"unmapped_signals\": 1\n },\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"NV_NVDLA_cmac\",\n \"port_count\": {\n \"inputs\": 269,\n \"outputs\": 15,\n \"inouts\": 0,\n \"total\": 284\n },\n \"signal_count\": {\n \"wires\": 5,\n \"regs\": 1,\n \"parameters\": 0,\n \"total\": 6\n },\n \"always_blocks\": 0,\n \"assign_statements\": 0,\n \"instantiations\": [\n \"NV_NVDLA_CMAC_core\",\n \"NV_NVDLA_CMAC_reg\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 876,\n \"total_lines\": 908,\n \"cyclomatic_complexity\": 2,\n \"nesting_depth\": 0,\n \"operator_count\": 2747\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "plan_id": "ec6a7dc2f9d3", "design_id": "b66f7b00cbe7", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/nvdla/hw", "commit": "8e06b1b9d85aab65b40d43d08eec5ea4681ff715", "path": "vmod/nvdla/cmac/NV_NVDLA_cmac.v", "sha256": "c94853511bb514809f1023201b6323af6dcf1b14f6d523638107d2ae40cd80c7"}} {"question": "For the module top, the RTL-to-netlist mapping matches only some signals. How does that alignment line up with the module's structure? Specifically, which instantiated cells and how many ports does the module have, and could the instantiated DFF_X1 explain why the mapping is incomplete?", "answer": "Module top has 3 ports in total (1 input, 2 outputs) and instantiates BUF_X1, DFF_X1 and AND2_X1 with 1 reg, but the RTL-to-netlist mapping reaches an alignment score of only 50.0, with 2 mapped and 2 unmapped signals. DFF_X1 and output are the unmapped elements, so the instantiated flip-flop and the output declaration are what keep the mapping from being complete, while in1 and out map directly.", "source_file": "github_repos/The-OpenROAD-Project_OpenROAD/src/rsz/test/report_floating_nets1.v", "module_name": "top", "tool_name": "cross_stage_mapper+static_analyzer", "tool_parameters": [{}, {"analysis_type": "full"}], "tool_result": "[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"in1\": [\n \"in1\"\n ],\n \"DFF_X1\": [],\n \"output\": [],\n \"out\": [\n \"out\"\n ]\n },\n \"alignment_score\": 50.0,\n \"unmapped_elements\": [\n \"DFF_X1\",\n \"output\"\n ],\n \"mapping_statistics\": {\n \"rtl_signals\": 4,\n \"netlist_wires\": 10,\n \"netlist_cells\": 0,\n \"mapped_signals\": 2,\n \"unmapped_signals\": 2\n },\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"top\",\n \"port_count\": {\n \"inputs\": 1,\n \"outputs\": 2,\n \"inouts\": 0,\n \"total\": 3\n },\n \"signal_count\": {\n \"wires\": 0,\n \"regs\": 1,\n \"parameters\": 0,\n \"total\": 1\n },\n \"always_blocks\": 0,\n \"assign_statements\": 0,\n \"instantiations\": [\n \"BUF_X1\",\n \"DFF_X1\",\n \"AND2_X1\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 8,\n \"total_lines\": 13,\n \"cyclomatic_complexity\": 2,\n \"nesting_depth\": 0,\n \"operator_count\": 6\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "category": "multi_tool", "subcategory": "cross_stage_mapper+static_analyzer", "difficulty": "compositional", "question_hash": "d3ea5ae2b4a6", "stage1_target": "[{\"tool\": \"cross_stage_mapper\", \"parameters\": {}}, {\"tool\": \"static_analyzer\", \"parameters\": {\"analysis_type\": \"full\"}}]", "stage2_context": "Question: For the module top, the RTL-to-netlist mapping matches only some signals. How does that alignment line up with the module's structure? Specifically, which instantiated cells and how many ports does the module have, and could the instantiated DFF_X1 explain why the mapping is incomplete?\n\n[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"in1\": [\n \"in1\"\n ],\n \"DFF_X1\": [],\n \"output\": [],\n \"out\": [\n \"out\"\n ]\n },\n \"alignment_score\": 50.0,\n \"unmapped_elements\": [\n \"DFF_X1\",\n \"output\"\n ],\n \"mapping_statistics\": {\n \"rtl_signals\": 4,\n \"netlist_wires\": 10,\n \"netlist_cells\": 0,\n \"mapped_signals\": 2,\n \"unmapped_signals\": 2\n },\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"top\",\n \"port_count\": {\n \"inputs\": 1,\n \"outputs\": 2,\n \"inouts\": 0,\n \"total\": 3\n },\n \"signal_count\": {\n \"wires\": 0,\n \"regs\": 1,\n \"parameters\": 0,\n \"total\": 1\n },\n \"always_blocks\": 0,\n \"assign_statements\": 0,\n \"instantiations\": [\n \"BUF_X1\",\n \"DFF_X1\",\n \"AND2_X1\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 8,\n \"total_lines\": 13,\n \"cyclomatic_complexity\": 2,\n \"nesting_depth\": 0,\n \"operator_count\": 6\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "plan_id": "9f20a3ce0fd0", "design_id": "b6f20ea8c80b", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/The-OpenROAD-Project/OpenROAD", "commit": "3e3e483a4e3f98e2b5470b272040699de6dedbee", "path": "src/rsz/test/report_floating_nets1.v", "sha256": "806c3abde93db9da724748b51bace3825af6934bac0072ca4d5ccc356e82d3b9"}} {"question": "For nv_ram_rwsthp_19x80, how do the instantiated cell types and code complexity in the source line up with the medium-optimization synthesis result, especially the gate count, critical-path delay, and the sink and AND-gate cells that dominate?", "answer": "The nv_ram_rwsthp_19x80 source has 19 inputs, 2 outputs, a cyclomatic complexity of 16 and no always blocks or assign statements, and it instantiates cells such as RAMDP_20X80_GL_M1_E2, AN2D4PO4 and NV_BLKBOX_SINK. Synthesis at medium optimization gives 141 gates and a critical-path delay of 220.67. Of those cells, 81 are NV_BLKBOX_SINK and 28 are AN2D4PO4, so the netlist is mostly black-box and wrapper cells, not logic that synthesis built.", "source_file": "github_repos/nvdla_hw/vmod/rams/synth/nv_ram_rwsthp_19x80.v", "module_name": "nv_ram_rwsthp_19x80", "tool_name": "static_analyzer+synthesis_tool", "tool_parameters": [{"analysis_type": "full"}, {"optimization_level": "medium"}], "tool_result": "[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"nv_ram_rwsthp_19x80\",\n \"port_count\": {\n \"inputs\": 19,\n \"outputs\": 2,\n \"inouts\": 0,\n \"total\": 21\n },\n \"signal_count\": {\n \"wires\": 70,\n \"regs\": 7,\n \"parameters\": 1,\n \"total\": 77\n },\n \"always_blocks\": 0,\n \"assign_statements\": 0,\n \"instantiations\": [\n \"RAMDP_20X80_GL_M1_E2\",\n \"NV_BLKBOX_SRC0_X\",\n \"RANDFUNC\",\n \"AN2D4PO4\",\n \"NV_BLKBOX_SINK\",\n \"NV_BLKBOX_SRC0\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 505,\n \"total_lines\": 596,\n \"cyclomatic_complexity\": 16,\n \"nesting_depth\": 18,\n \"operator_count\": 429\n },\n \"lint_warnings\": [],\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 141.0,\n \"delay\": 220.67,\n \"power\": 0.141,\n \"gate_count\": 141,\n \"cell_breakdown\": {\n \"AN2D4PO4\": 28,\n \"NV_BLKBOX_SINK\": 81,\n \"NV_BLKBOX_SRC0\": 3,\n \"NV_BLKBOX_SRC0_X\": 28,\n \"nv_ram_rwsthp_19x80_logic\": 1\n },\n \"wire_count\": 62,\n \"wire_bits\": 427,\n \"critical_path_estimate\": 220.67,\n...[1212 chars elided]...\n \"error\": null\n}", "category": "multi_tool", "subcategory": "static_analyzer+synthesis_tool", "difficulty": "compositional", "question_hash": "97525acf8b69", "stage1_target": "[{\"tool\": \"static_analyzer\", \"parameters\": {\"analysis_type\": \"full\"}}, {\"tool\": \"synthesis_tool\", \"parameters\": {\"optimization_level\": \"medium\"}}]", "stage2_context": "Question: For nv_ram_rwsthp_19x80, how do the instantiated cell types and code complexity in the source line up with the medium-optimization synthesis result, especially the gate count, critical-path delay, and the sink and AND-gate cells that dominate?\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"nv_ram_rwsthp_19x80\",\n \"port_count\": {\n \"inputs\": 19,\n \"outputs\": 2,\n \"inouts\": 0,\n \"total\": 21\n },\n \"signal_count\": {\n \"wires\": 70,\n \"regs\": 7,\n \"parameters\": 1,\n \"total\": 77\n },\n \"always_blocks\": 0,\n \"assign_statements\": 0,\n \"instantiations\": [\n \"RAMDP_20X80_GL_M1_E2\",\n \"NV_BLKBOX_SRC0_X\",\n \"RANDFUNC\",\n \"AN2D4PO4\",\n \"NV_BLKBOX_SINK\",\n \"NV_BLKBOX_SRC0\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 505,\n \"total_lines\": 596,\n \"cyclomatic_complexity\": 16,\n \"nesting_depth\": 18,\n \"operator_count\": 429\n },\n \"lint_warnings\": [],\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 141.0,\n \"delay\": 220.67,\n \"power\": 0.141,\n \"gate_count\": 141,\n \"cell_breakdown\": {\n \"AN2D4PO4\": 28,\n \"NV_BLKBOX_SINK\": 81,\n \"NV_BLKBOX_SRC0\": 3,\n \"NV_BLKBOX_SRC0_X\": 28,\n \"nv_ram_rwsthp_19x80_logic\": 1\n },\n \"wire_count\": 62,\n \"wire_bits\": 427,\n \"critical_path_estimate\": 220.67,\n...[1212 chars elided]...\n \"error\": null\n}", "plan_id": "01a2070279cd", "design_id": "b81c050c0a63", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/nvdla/hw", "commit": "8e06b1b9d85aab65b40d43d08eec5ea4681ff715", "path": "vmod/rams/synth/nv_ram_rwsthp_19x80.v", "sha256": "df7d6c007335e366c167ba7875db68e12b969a9ec0b1118cd690d95158a2b689"}} {"question": "For nv_ram_rwsp_128x6, does the CDFG agree with the medium-effort synthesis result on how many AN2D4PO4 gating cells the design uses, and how does the CDFG's size compare with the synthesized gate count, area and estimated delay?", "answer": "Both analyses report 31 AN2D4PO4 cells for nv_ram_rwsp_128x6, so they agree. The CDFG has 82 nodes and 236 edges, with an average degree of 2.88. Medium-effort synthesis reports 73 gates, an area of 73.0 and a critical-path delay of 181.12.", "source_file": "github_repos/nvdla_hw/vmod/rams/synth/nv_ram_rwsp_128x6.v", "module_name": "nv_ram_rwsp_128x6", "tool_name": "graph_extractor+synthesis_tool", "tool_parameters": [{"graph_type": "CDFG"}, {"optimization_level": "medium"}], "tool_result": "[graph_extractor {\"graph_type\": \"CDFG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"CDFG\",\n...[39306 chars elided]...\n \"node_count\": 82,\n \"edge_count\": 236,\n \"graph_properties\": {\n \"node_types\": {\n \"NV_BLKBOX_SRC0\": 3,\n \"AN2D4PO4\": 31,\n \"nv_ram_rwsp_128x6_logic\": 1,\n \"NV_BLKBOX_SRC0_X\": 31,\n \"NV_BLKBOX_SINK\": 7,\n \"port_input\": 8,\n \"port_output\": 1\n },\n \"avg_degree\": 2.88,\n \"module_name\": \"nv_ram_rwsp_128x6\"\n },\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 73.0,\n \"delay\": 181.12,\n \"power\": 0.073,\n \"gate_count\": 73,\n \"cell_breakdown\": {\n \"AN2D4PO4\": 31,\n \"NV_BLKBOX_SINK\": 7,\n \"NV_BLKBOX_SRC0\": 3,\n \"NV_BLKBOX_SRC0_X\": 31,\n \"nv_ram_rwsp_128x6_logic\": 1\n },\n \"wire_count\": 62,\n \"wire_bits\": 134,\n \"critical_path_estimate\": 181.12,\n...[1207 chars elided]...\n \"error\": null\n}", "category": "multi_tool", "subcategory": "graph_extractor+synthesis_tool", "difficulty": "compositional", "question_hash": "701fe5277978", "stage1_target": "[{\"tool\": \"graph_extractor\", \"parameters\": {\"graph_type\": \"CDFG\"}}, {\"tool\": \"synthesis_tool\", \"parameters\": {\"optimization_level\": \"medium\"}}]", "stage2_context": "Question: For nv_ram_rwsp_128x6, does the CDFG agree with the medium-effort synthesis result on how many AN2D4PO4 gating cells the design uses, and how does the CDFG's size compare with the synthesized gate count, area and estimated delay?\n\n[graph_extractor {\"graph_type\": \"CDFG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"CDFG\",\n...[39306 chars elided]...\n \"node_count\": 82,\n \"edge_count\": 236,\n \"graph_properties\": {\n \"node_types\": {\n \"NV_BLKBOX_SRC0\": 3,\n \"AN2D4PO4\": 31,\n \"nv_ram_rwsp_128x6_logic\": 1,\n \"NV_BLKBOX_SRC0_X\": 31,\n \"NV_BLKBOX_SINK\": 7,\n \"port_input\": 8,\n \"port_output\": 1\n },\n \"avg_degree\": 2.88,\n \"module_name\": \"nv_ram_rwsp_128x6\"\n },\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 73.0,\n \"delay\": 181.12,\n \"power\": 0.073,\n \"gate_count\": 73,\n \"cell_breakdown\": {\n \"AN2D4PO4\": 31,\n \"NV_BLKBOX_SINK\": 7,\n \"NV_BLKBOX_SRC0\": 3,\n \"NV_BLKBOX_SRC0_X\": 31,\n \"nv_ram_rwsp_128x6_logic\": 1\n },\n \"wire_count\": 62,\n \"wire_bits\": 134,\n \"critical_path_estimate\": 181.12,\n...[1207 chars elided]...\n \"error\": null\n}", "plan_id": "ef0a33bb377b", "design_id": "b9133a82cb78", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/nvdla/hw", "commit": "8e06b1b9d85aab65b40d43d08eec5ea4681ff715", "path": "vmod/rams/synth/nv_ram_rwsp_128x6.v", "sha256": "e40fa84823c3738665e2c5c6bfe17082b1fea12f3e57a029fbf7b61b8763a580"}} {"question": "For ScanShareSel_JTAG_reg_ext_cg, how well do the RTL signals carry through to the synthesized netlist? Given how complete that mapping is, what does a medium-effort synthesis run give for area and delay, and how many scan flip-flops does it use?", "answer": "ScanShareSel_JTAG_reg_ext_cg maps cleanly: all 12 RTL signals map to the netlist with an alignment score of 100.0 and no unmapped signals. Medium-effort synthesis gives an area of 26.0 and a delay of 129.23 across 25 gates, and 16 of those gates are SDFQD1 scan flip-flops.", "source_file": "github_repos/nvdla_hw/vmod/vlibs/ScanShareSel_JTAG_reg_ext_cg.v", "module_name": "ScanShareSel_JTAG_reg_ext_cg", "tool_name": "cross_stage_mapper+synthesis_tool", "tool_parameters": [{}, {"optimization_level": "medium"}], "tool_result": "[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"clk\": [\n \"clk_wire\",\n \"clk\"\n ],\n \"reset_\": [\n \"reset_\"\n ],\n \"scanout_wire\": [\n \"scanout_wire\"\n ],\n \"sel\": [\n \"sel\"\n ],\n \"scanen_wire\": [\n \"qualified_scanen_wire\",\n \"scanen_wire\"\n ],\n \"clk_wire\": [\n \"clk_wire\"\n ],\n \"scanin_wire\": [\n \"scanin_wire\",\n \"qualified_scanin_wire\"\n ],\n \"qualified_scanen_wire\": [\n \"qualified_scanen_wire\"\n ],\n \"shiftDR\": [\n \"shiftDR\"\n ],\n \"scanin\": [\n \"scanin_wire\",\n \"scanin\",\n \"qualified_scanin_wire\"\n ],\n \"qualified_scanin_wire\": [\n \"qualified_scanin_wire\"\n ],\n \"scanout\": [\n \"scanout\",\n \"scanout_wire\"\n ]\n },\n \"alignment_score\": 100.0,\n \"unmapped_elements\": [],\n \"mapping_statistics\": {\n \"rtl_signals\": 12,\n \"netlist_wires\": 27,\n \"netlist_cells\": 0,\n \"mapped_signals\": 12,\n \"unmapped_signals\": 0\n },\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 26.0,\n \"delay\": 129.23,\n \"power\": 0.025,\n \"gate_count\": 25,\n \"cell_breakdown\": {\n \"$_NAND_\": 4,\n \"$_ORNOT_\": 2,\n \"NV_BLKBOX_BUFFER\": 1,\n \"NV_BLKBOX_SRC0\": 2,\n \"SDFQD1\": 16\n },\n \"wire_count\": 20,\n \"wire_bits\": 80,\n \"critical_path_estimate\": 129.23,\n...[1182 chars elided]...\n \"error\": null\n}", "category": "multi_tool", "subcategory": "cross_stage_mapper+synthesis_tool", "difficulty": "compositional", "question_hash": "a1fb1f10e0b2", "stage1_target": "[{\"tool\": \"cross_stage_mapper\", \"parameters\": {}}, {\"tool\": \"synthesis_tool\", \"parameters\": {\"optimization_level\": \"medium\"}}]", "stage2_context": "Question: For ScanShareSel_JTAG_reg_ext_cg, how well do the RTL signals carry through to the synthesized netlist? Given how complete that mapping is, what does a medium-effort synthesis run give for area and delay, and how many scan flip-flops does it use?\n\n[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"clk\": [\n \"clk_wire\",\n \"clk\"\n ],\n \"reset_\": [\n \"reset_\"\n ],\n \"scanout_wire\": [\n \"scanout_wire\"\n ],\n \"sel\": [\n \"sel\"\n ],\n \"scanen_wire\": [\n \"qualified_scanen_wire\",\n \"scanen_wire\"\n ],\n \"clk_wire\": [\n \"clk_wire\"\n ],\n \"scanin_wire\": [\n \"scanin_wire\",\n \"qualified_scanin_wire\"\n ],\n \"qualified_scanen_wire\": [\n \"qualified_scanen_wire\"\n ],\n \"shiftDR\": [\n \"shiftDR\"\n ],\n \"scanin\": [\n \"scanin_wire\",\n \"scanin\",\n \"qualified_scanin_wire\"\n ],\n \"qualified_scanin_wire\": [\n \"qualified_scanin_wire\"\n ],\n \"scanout\": [\n \"scanout\",\n \"scanout_wire\"\n ]\n },\n \"alignment_score\": 100.0,\n \"unmapped_elements\": [],\n \"mapping_statistics\": {\n \"rtl_signals\": 12,\n \"netlist_wires\": 27,\n \"netlist_cells\": 0,\n \"mapped_signals\": 12,\n \"unmapped_signals\": 0\n },\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 26.0,\n \"delay\": 129.23,\n \"power\": 0.025,\n \"gate_count\": 25,\n \"cell_breakdown\": {\n \"$_NAND_\": 4,\n \"$_ORNOT_\": 2,\n \"NV_BLKBOX_BUFFER\": 1,\n \"NV_BLKBOX_SRC0\": 2,\n \"SDFQD1\": 16\n },\n \"wire_count\": 20,\n \"wire_bits\": 80,\n \"critical_path_estimate\": 129.23,\n...[1182 chars elided]...\n \"error\": null\n}", "plan_id": "8cb7d84d87bf", "design_id": "b93dc355e20f", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/nvdla/hw", "commit": "8e06b1b9d85aab65b40d43d08eec5ea4681ff715", "path": "vmod/vlibs/ScanShareSel_JTAG_reg_ext_cg.v", "sha256": "f15ab8e2af0ba5546f241747e2db6cfad7421a6a7dacf5eec2289f2d0d4bbc2a"}} {"question": "For module top, the RTL-to-netlist mapping and the synthesized cell mix suggest a very small design. Given the power-targeted optimization recommendations, is clock gating worthwhile here? Please summarize how well the RTL signals map to the netlist, what the synthesized area, power and cell composition look like, and what power saving the optimization guidance predicts along with its trade-offs.", "answer": "In module top, all 8 RTL signals map to the netlist with an alignment score of 100.0 and none unmapped. Synthesis gives an area of 4.0, power of 0.005 and 5 gates, of which only 1 is a DFF_X1 alongside 2 BUF_X1 and 1 MOD cell. The power-targeted guidance recommends clockgate and estimates a -25.0 power change with a 5.0 area overhead, but because only one register would be gated, the added area and timing complexity may outweigh the benefit.", "source_file": "github_repos/The-OpenROAD-Project_OpenROAD/src/rsz/test/cpp/TestBufferRemoval3_3.v", "module_name": "top", "tool_name": "cross_stage_mapper+optimization_advisor+synthesis_tool", "tool_parameters": [{}, {"target_metric": "power"}, {"optimization_level": "medium"}], "tool_result": "[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"in1\": [\n \"in1\"\n ],\n \"clk\": [\n \"clk\"\n ],\n \"out1\": [\n \"out1\"\n ],\n \"in\": [\n \"in1\",\n \"in\"\n ],\n \"buf0_out\": [\n \"buf0_out\"\n ],\n \"out\": [\n \"out1\",\n \"buf0_out\",\n \"out\",\n \"buf1_out\"\n ],\n \"buf1_out\": [\n \"buf1_out\"\n ],\n \"dff_q\": [\n \"dff_q\"\n ]\n },\n \"alignment_score\": 100.0,\n \"unmapped_elements\": [],\n \"mapping_statistics\": {\n \"rtl_signals\": 8,\n \"netlist_wires\": 8,\n \"netlist_cells\": 0,\n \"mapped_signals\": 8,\n \"unmapped_signals\": 0\n },\n \"error\": null\n}\n\n[optimization_advisor {\"target_metric\": \"power\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"power\",\n \"recommended_recipes\": [\n \"synth -top top\",\n \"opt; share; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean; clockgate\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"clock_gating\",\n \"description\": \"Insert clock gating for registers\",\n \"command\": \"clockgate\"\n },\n {\n \"type\": \"operand_isolation\",\n \"description\": \"Isolate operands when not in use\",\n \"command\": \"Use enable signals for arithmetic\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": 5.0,\n \"delay\": 5.0,\n \"power\": -25.0\n },\n \"trade_offs\": [\n \"Power optimization may add area overhead\",\n \"Clock gating adds timing complexity\"\n ],\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 4.0,\n \"delay\": 64.83,\n \"power\": 0.005,\n \"gate_count\": 5,\n \"cell_breakdown\": {\n \"BUF_X1\": 2,\n \"DFF_X1\": 1,\n \"MOD\": 1\n },\n \"wire_count\": 6,\n \"wire_bits\": 6,\n \"critical_path_estimate\": 64.83,\n...[1594 chars elided]...\n \"error\": null\n}", "category": "multi_tool", "subcategory": "cross_stage_mapper+optimization_advisor+synthesis_tool", "difficulty": "compositional", "question_hash": "bcee7412186f", "stage1_target": "[{\"tool\": \"cross_stage_mapper\", \"parameters\": {}}, {\"tool\": \"optimization_advisor\", \"parameters\": {\"target_metric\": \"power\"}}, {\"tool\": \"synthesis_tool\", \"parameters\": {\"optimization_level\": \"medium\"}}]", "stage2_context": "Question: For module top, the RTL-to-netlist mapping and the synthesized cell mix suggest a very small design. Given the power-targeted optimization recommendations, is clock gating worthwhile here? Please summarize how well the RTL signals map to the netlist, what the synthesized area, power and cell composition look like, and what power saving the optimization guidance predicts along with its trade-offs.\n\n[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"in1\": [\n \"in1\"\n ],\n \"clk\": [\n \"clk\"\n ],\n \"out1\": [\n \"out1\"\n ],\n \"in\": [\n \"in1\",\n \"in\"\n ],\n \"buf0_out\": [\n \"buf0_out\"\n ],\n \"out\": [\n \"out1\",\n \"buf0_out\",\n \"out\",\n \"buf1_out\"\n ],\n \"buf1_out\": [\n \"buf1_out\"\n ],\n \"dff_q\": [\n \"dff_q\"\n ]\n },\n \"alignment_score\": 100.0,\n \"unmapped_elements\": [],\n \"mapping_statistics\": {\n \"rtl_signals\": 8,\n \"netlist_wires\": 8,\n \"netlist_cells\": 0,\n \"mapped_signals\": 8,\n \"unmapped_signals\": 0\n },\n \"error\": null\n}\n\n[optimization_advisor {\"target_metric\": \"power\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"power\",\n \"recommended_recipes\": [\n \"synth -top top\",\n \"opt; share; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean; clockgate\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"clock_gating\",\n \"description\": \"Insert clock gating for registers\",\n \"command\": \"clockgate\"\n },\n {\n \"type\": \"operand_isolation\",\n \"description\": \"Isolate operands when not in use\",\n \"command\": \"Use enable signals for arithmetic\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": 5.0,\n \"delay\": 5.0,\n \"power\": -25.0\n },\n \"trade_offs\": [\n \"Power optimization may add area overhead\",\n \"Clock gating adds timing complexity\"\n ],\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 4.0,\n \"delay\": 64.83,\n \"power\": 0.005,\n \"gate_count\": 5,\n \"cell_breakdown\": {\n \"BUF_X1\": 2,\n \"DFF_X1\": 1,\n \"MOD\": 1\n },\n \"wire_count\": 6,\n \"wire_bits\": 6,\n \"critical_path_estimate\": 64.83,\n...[1594 chars elided]...\n \"error\": null\n}", "plan_id": "83bc7bd1f948", "design_id": "bb5b3eaf1591", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 3, "ctx_cap": 3300, "source": {"repository": "https://github.com/The-OpenROAD-Project/OpenROAD", "commit": "3e3e483a4e3f98e2b5470b272040699de6dedbee", "path": "src/rsz/test/cpp/TestBufferRemoval3_3.v", "sha256": "d2585332d0fa25cd0f22915584b4972828e0f2dc63bdc039d5b7a925c3aeccbd"}} {"question": "For ScanShareSel_JTAG_reg_ext_cg, the RTL lists several distinct scan flop cell types among its instantiations, yet the medium-effort synthesized netlist contains only one flop type. How does the flop count in the netlist compare with the source structure (assign statements and cyclomatic complexity), and what are the resulting area and critical-path delay?", "answer": "ScanShareSel_JTAG_reg_ext_cg instantiates SDFCNQD1, SDFQD1 and SDFSNQD1 alongside a generate block, has 5 assign statements and a cyclomatic complexity of 9, but the synthesized netlist keeps only 16 SDFQD1 cells out of 25 gates. Those flops sit alongside just 4 $_NAND_ and 2 $_ORNOT_ cells, for an area of 26.0 and a critical-path delay of 129.23.", "source_file": "github_repos/nvdla_hw/vmod/vlibs/ScanShareSel_JTAG_reg_ext_cg.v", "module_name": "ScanShareSel_JTAG_reg_ext_cg", "tool_name": "static_analyzer+synthesis_tool", "tool_parameters": [{"analysis_type": "full"}, {"optimization_level": "medium"}], "tool_result": "[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"ScanShareSel_JTAG_reg_ext_cg\",\n \"port_count\": {\n \"inputs\": 5,\n \"outputs\": 1,\n \"inouts\": 0,\n \"total\": 6\n },\n \"signal_count\": {\n \"wires\": 6,\n \"regs\": 0,\n \"parameters\": 2,\n \"total\": 6\n },\n \"always_blocks\": 0,\n \"assign_statements\": 5,\n \"instantiations\": [\n \"SDFCNQD1\",\n \"Jreg_ff\",\n \"NV_BLKBOX_BUFFER\",\n \"SDFQD1\",\n \"generate\",\n \"SDFSNQD1\",\n \"NV_BLKBOX_SRC0\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 54,\n \"total_lines\": 86,\n \"cyclomatic_complexity\": 9,\n \"nesting_depth\": 7,\n \"operator_count\": 189\n },\n \"lint_warnings\": [],\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 26.0,\n \"delay\": 129.23,\n \"power\": 0.025,\n \"gate_count\": 25,\n \"cell_breakdown\": {\n \"$_NAND_\": 4,\n \"$_ORNOT_\": 2,\n \"NV_BLKBOX_BUFFER\": 1,\n \"NV_BLKBOX_SRC0\": 2,\n \"SDFQD1\": 16\n },\n \"wire_count\": 20,\n \"wire_bits\": 80,\n \"critical_path_estimate\": 129.23,\n...[1182 chars elided]...\n \"error\": null\n}", "category": "multi_tool", "subcategory": "static_analyzer+synthesis_tool", "difficulty": "compositional", "question_hash": "b081b641592b", "stage1_target": "[{\"tool\": \"static_analyzer\", \"parameters\": {\"analysis_type\": \"full\"}}, {\"tool\": \"synthesis_tool\", \"parameters\": {\"optimization_level\": \"medium\"}}]", "stage2_context": "Question: For ScanShareSel_JTAG_reg_ext_cg, the RTL lists several distinct scan flop cell types among its instantiations, yet the medium-effort synthesized netlist contains only one flop type. How does the flop count in the netlist compare with the source structure (assign statements and cyclomatic complexity), and what are the resulting area and critical-path delay?\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"ScanShareSel_JTAG_reg_ext_cg\",\n \"port_count\": {\n \"inputs\": 5,\n \"outputs\": 1,\n \"inouts\": 0,\n \"total\": 6\n },\n \"signal_count\": {\n \"wires\": 6,\n \"regs\": 0,\n \"parameters\": 2,\n \"total\": 6\n },\n \"always_blocks\": 0,\n \"assign_statements\": 5,\n \"instantiations\": [\n \"SDFCNQD1\",\n \"Jreg_ff\",\n \"NV_BLKBOX_BUFFER\",\n \"SDFQD1\",\n \"generate\",\n \"SDFSNQD1\",\n \"NV_BLKBOX_SRC0\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 54,\n \"total_lines\": 86,\n \"cyclomatic_complexity\": 9,\n \"nesting_depth\": 7,\n \"operator_count\": 189\n },\n \"lint_warnings\": [],\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 26.0,\n \"delay\": 129.23,\n \"power\": 0.025,\n \"gate_count\": 25,\n \"cell_breakdown\": {\n \"$_NAND_\": 4,\n \"$_ORNOT_\": 2,\n \"NV_BLKBOX_BUFFER\": 1,\n \"NV_BLKBOX_SRC0\": 2,\n \"SDFQD1\": 16\n },\n \"wire_count\": 20,\n \"wire_bits\": 80,\n \"critical_path_estimate\": 129.23,\n...[1182 chars elided]...\n \"error\": null\n}", "plan_id": "c1c305078c77", "design_id": "b93dc355e20f", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/nvdla/hw", "commit": "8e06b1b9d85aab65b40d43d08eec5ea4681ff715", "path": "vmod/vlibs/ScanShareSel_JTAG_reg_ext_cg.v", "sha256": "f15ab8e2af0ba5546f241747e2db6cfad7421a6a7dacf5eec2289f2d0d4bbc2a"}} {"question": "For the input_stage module, the static code review counts 9 regs and 7 always blocks, but how many RTL signals are left unmapped when the RTL is matched against the synthesized netlist, and what is the alignment score? Which of the module's state registers are missing from the netlist, and does the module's complexity offer a likely reason?", "answer": "In input_stage, 10 of 26 RTL signals are unmapped, for an alignment score of 61.54. The missing ones include registers such as r_ls_clk_sync, r_armed, r_oldval, r_mode, r_event, r_sel and r_active. The static analysis reports 9 regs across 7 always blocks, with a cyclomatic complexity of 29 and a nesting depth of 16, so these registers were probably renamed or merged during synthesis and can't be matched by name.", "source_file": "github_repos/riscv-mcu_e203_hbirdv2/rtl/e203/perips/apb_adv_timer/input_stage.v", "module_name": "input_stage", "tool_name": "cross_stage_mapper+static_analyzer", "tool_parameters": [{}, {"analysis_type": "full"}], "tool_result": "[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"ctrl_update_i\": [\n \"ctrl_update_i\"\n ],\n \"s_int_sig\": [\n \"s_int_sig\"\n ],\n \"wire\": [],\n \"r_ls_clk_sync\": [],\n \"cfg_sel_i\": [\n \"cfg_sel_i\"\n ],\n \"s_rise_ls_clk\": [\n \"s_rise_ls_clk\"\n ],\n \"r_armed\": [],\n \"event_o\": [\n \"event_o\"\n ],\n \"rstn_i\": [\n \"rstn_i\"\n ],\n \"s_fall\": [\n \"s_fall\"\n ],\n \"r_oldval\n...[91 chars elided]...\n \"s_int_evnt\": [\n \"s_int_evnt\"\n ],\n \"clk_i\": [\n \"ls_clk_i\",\n \"clk_i\",\n \"cfg_sel_clk_i\"\n ],\n \"s_rise\": [\n \"s_rise\",\n \"s_rise_ls_clk\"\n ],\n \"reg\": [],\n \"s_event\": [],\n \"ctrl_arm_i\": [\n \"ctrl_arm_i\"\n ],\n \"ctrl_active_i\": [\n \"ctrl_active_i\"\n ],\n \"ls_clk_i\": [\n \"ls_clk_i\"\n ],\n \"r_sel\": [],\n \"r_active\": [],\n \"cnt_end_i\": [\n \"cnt_end_i\"\n ],\n \"cfg_sel_clk_i\": [\n \"cfg_sel_clk_i\"\n ]\n },\n \"alignment_score\": 61.54,\n \"unmapped_elements\": [\n \"wire\",\n \"r_ls_clk_sync\",\n \"r_armed\",\n \"r_oldval\",\n \"r_mode\",\n \"r_event\",\n \"reg\",\n \"s_event\",\n \"r_sel\",\n \"r_active\"\n ],\n \"mapping_statistics\": {\n \"rtl_signals\": 26,\n \"netlist_wires\": 1288,\n \"netlist_cells\": 0,\n \"mapped_signals\": 16,\n \"unmapped_signals\": 10\n },\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"input_stage\",\n \"port_count\": {\n \"inputs\": 11,\n \"outputs\": 1,\n \"inouts\": 0,\n \"total\": 12\n },\n \"signal_count\": {\n \"wires\": 15,\n \"regs\": 9,\n \"parameters\": 1,\n \"total\": 24\n },\n \"always_blocks\": 7,\n \"assign_statements\": 3,\n \"instantiations\": [\n \"proc_event_o\",\n \"proc_r_sync\",\n \"proc_s_int_evnt\",\n \"proc_r_ls_clk_sync\",\n \"proc_r_mode\",\n \"proc_r_event\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 108,\n \"total_lines\": 138,\n \"cyclomatic_complexity\": 29,\n \"nesting_depth\": 16,\n \"operator_count\": 102\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "category": "multi_tool", "subcategory": "cross_stage_mapper+static_analyzer", "difficulty": "compositional", "question_hash": "cab0a4a1c10d", "stage1_target": "[{\"tool\": \"cross_stage_mapper\", \"parameters\": {}}, {\"tool\": \"static_analyzer\", \"parameters\": {\"analysis_type\": \"full\"}}]", "stage2_context": "Question: For the input_stage module, the static code review counts 9 regs and 7 always blocks, but how many RTL signals are left unmapped when the RTL is matched against the synthesized netlist, and what is the alignment score? Which of the module's state registers are missing from the netlist, and does the module's complexity offer a likely reason?\n\n[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"ctrl_update_i\": [\n \"ctrl_update_i\"\n ],\n \"s_int_sig\": [\n \"s_int_sig\"\n ],\n \"wire\": [],\n \"r_ls_clk_sync\": [],\n \"cfg_sel_i\": [\n \"cfg_sel_i\"\n ],\n \"s_rise_ls_clk\": [\n \"s_rise_ls_clk\"\n ],\n \"r_armed\": [],\n \"event_o\": [\n \"event_o\"\n ],\n \"rstn_i\": [\n \"rstn_i\"\n ],\n \"s_fall\": [\n \"s_fall\"\n ],\n \"r_oldval\n...[91 chars elided]...\n \"s_int_evnt\": [\n \"s_int_evnt\"\n ],\n \"clk_i\": [\n \"ls_clk_i\",\n \"clk_i\",\n \"cfg_sel_clk_i\"\n ],\n \"s_rise\": [\n \"s_rise\",\n \"s_rise_ls_clk\"\n ],\n \"reg\": [],\n \"s_event\": [],\n \"ctrl_arm_i\": [\n \"ctrl_arm_i\"\n ],\n \"ctrl_active_i\": [\n \"ctrl_active_i\"\n ],\n \"ls_clk_i\": [\n \"ls_clk_i\"\n ],\n \"r_sel\": [],\n \"r_active\": [],\n \"cnt_end_i\": [\n \"cnt_end_i\"\n ],\n \"cfg_sel_clk_i\": [\n \"cfg_sel_clk_i\"\n ]\n },\n \"alignment_score\": 61.54,\n \"unmapped_elements\": [\n \"wire\",\n \"r_ls_clk_sync\",\n \"r_armed\",\n \"r_oldval\",\n \"r_mode\",\n \"r_event\",\n \"reg\",\n \"s_event\",\n \"r_sel\",\n \"r_active\"\n ],\n \"mapping_statistics\": {\n \"rtl_signals\": 26,\n \"netlist_wires\": 1288,\n \"netlist_cells\": 0,\n \"mapped_signals\": 16,\n \"unmapped_signals\": 10\n },\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"input_stage\",\n \"port_count\": {\n \"inputs\": 11,\n \"outputs\": 1,\n \"inouts\": 0,\n \"total\": 12\n },\n \"signal_count\": {\n \"wires\": 15,\n \"regs\": 9,\n \"parameters\": 1,\n \"total\": 24\n },\n \"always_blocks\": 7,\n \"assign_statements\": 3,\n \"instantiations\": [\n \"proc_event_o\",\n \"proc_r_sync\",\n \"proc_s_int_evnt\",\n \"proc_r_ls_clk_sync\",\n \"proc_r_mode\",\n \"proc_r_event\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 108,\n \"total_lines\": 138,\n \"cyclomatic_complexity\": 29,\n \"nesting_depth\": 16,\n \"operator_count\": 102\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "plan_id": "630d05267fba", "design_id": "bbf27cff3057", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/riscv-mcu/e203_hbirdv2", "commit": "9f3e34f337f5d0a1236a285871ffa2032491617a", "path": "rtl/e203/perips/apb_adv_timer/input_stage.v", "sha256": "e93b2f66e44ebb3d0d96ecbd5620d28589c818b16411b84bd631d574cf111f34"}} {"question": "The DFG for test_16_sinks shows only its two clock-related input ports and no data paths. Given that, would a delay-targeted optimization flow that pipelines arithmetic and duplicates logic to reduce fanout actually help this module, and what trade-offs would it bring?", "answer": "The DFG for test_16_sinks has only 2 nodes (the 'origclk' and 'clk' input ports), 0 edges and an average degree of 0.0, so there is no arithmetic to pipeline and no fanout to split. That means the delay-targeted suggestions (register retiming and 'splitnets -driver') have nothing to act on, even though the flow claims a delay change of -20.0. Its listed costs would still apply: area +10.0, power +5.0, and the trade-offs 'Speed optimization increases area' and 'Higher power consumption'.", "source_file": "github_repos/The-OpenROAD-Project_OpenROAD/src/cts/test/simple_test_hier.v", "module_name": "test_16_sinks", "tool_name": "graph_extractor+optimization_advisor", "tool_parameters": [{"graph_type": "DFG"}, {"target_metric": "delay"}], "tool_result": "[graph_extractor {\"graph_type\": \"DFG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"DFG\",\n \"node_count\": 2,\n \"edge_count\": 0,\n \"graph_properties\": {\n \"node_types\": {\n \"port_input\": 2\n },\n \"avg_degree\": 0.0,\n \"module_name\": \"test_16_sinks\"\n },\n \"error\": null\n}\n\n[optimization_advisor {\"target_metric\": \"delay\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"delay\",\n \"recommended_recipes\": [\n \"synth -top test_16_sinks\",\n \"opt -fast\",\n \"abc -fast -liberty stdcells.lib\",\n \"opt_clean\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"pipeline_insertion\",\n \"description\": \"Consider pipelining arithmetic operations\",\n \"command\": \"Use register retiming\"\n },\n {\n \"type\": \"logic_duplication\",\n \"description\": \"Duplicate logic to reduce fanout\",\n \"command\": \"splitnets -driver\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": 10.0,\n \"delay\": -20.0,\n \"power\": 5.0\n },\n \"trade_offs\": [\n \"Speed optimization increases area\",\n \"Higher power consumption\"\n ],\n \"error\": null\n}", "category": "multi_tool", "subcategory": "graph_extractor+optimization_advisor", "difficulty": "compositional", "question_hash": "a513d186c6ef", "stage1_target": "[{\"tool\": \"graph_extractor\", \"parameters\": {\"graph_type\": \"DFG\"}}, {\"tool\": \"optimization_advisor\", \"parameters\": {\"target_metric\": \"delay\"}}]", "stage2_context": "Question: The DFG for test_16_sinks shows only its two clock-related input ports and no data paths. Given that, would a delay-targeted optimization flow that pipelines arithmetic and duplicates logic to reduce fanout actually help this module, and what trade-offs would it bring?\n\n[graph_extractor {\"graph_type\": \"DFG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"DFG\",\n \"node_count\": 2,\n \"edge_count\": 0,\n \"graph_properties\": {\n \"node_types\": {\n \"port_input\": 2\n },\n \"avg_degree\": 0.0,\n \"module_name\": \"test_16_sinks\"\n },\n \"error\": null\n}\n\n[optimization_advisor {\"target_metric\": \"delay\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"delay\",\n \"recommended_recipes\": [\n \"synth -top test_16_sinks\",\n \"opt -fast\",\n \"abc -fast -liberty stdcells.lib\",\n \"opt_clean\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"pipeline_insertion\",\n \"description\": \"Consider pipelining arithmetic operations\",\n \"command\": \"Use register retiming\"\n },\n {\n \"type\": \"logic_duplication\",\n \"description\": \"Duplicate logic to reduce fanout\",\n \"command\": \"splitnets -driver\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": 10.0,\n \"delay\": -20.0,\n \"power\": 5.0\n },\n \"trade_offs\": [\n \"Speed optimization increases area\",\n \"Higher power consumption\"\n ],\n \"error\": null\n}", "plan_id": "b4cad2881dbc", "design_id": "bcd417bbd6b0", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/The-OpenROAD-Project/OpenROAD", "commit": "3e3e483a4e3f98e2b5470b272040699de6dedbee", "path": "src/cts/test/simple_test_hier.v", "sha256": "734329f850843c0bbe79a956365a566a88b532d6c43561ffd5da15c01d238695"}} {"question": "For test_16_sinks, the RTL-to-netlist mapping shows that both the RTL signals map to netlist wires and that no netlist cells exist. Given that, how realistic is it to expect the area-targeted optimization flow, with its aggressive operator sharing, to deliver the projected area reduction, and what trade-off does that flow carry?", "answer": "The test_16_sinks mapping has an alignment_score of 100.0, with 2 mapped signals, 0 netlist cells, and clk mapping onto both origclk and clk, so the design is essentially just clock wiring and has no arithmetic for \"share -aggressive\" to merge. The area-targeted recipe's estimated area improvement of -15.0 is therefore unlikely to show up in practice, and the flow still carries a projected delay change of 5.0 along with the trade-off that \"Area optimization may increase delay\".", "source_file": "github_repos/The-OpenROAD-Project_OpenROAD/src/cts/test/simple_test_hier.v", "module_name": "test_16_sinks", "tool_name": "cross_stage_mapper+optimization_advisor", "tool_parameters": [{}, {"target_metric": "area"}], "tool_result": "[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"origclk\": [\n \"origclk\"\n ],\n \"clk\": [\n \"origclk\",\n \"clk\"\n ]\n },\n \"alignment_score\": 100.0,\n \"unmapped_elements\": [],\n \"mapping_statistics\": {\n \"rtl_signals\": 2,\n \"netlist_wires\": 2,\n \"netlist_cells\": 0,\n \"mapped_signals\": 2,\n \"unmapped_signals\": 0\n },\n \"error\": null\n}\n\n[optimization_advisor {\"target_metric\": \"area\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"area\",\n \"recommended_recipes\": [\n \"synth -top test_16_sinks -flatten\",\n \"opt -full; share -aggressive; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean -purge\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"resource_sharing\",\n \"description\": \"Share arithmetic operators\",\n \"command\": \"share -aggressive\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": -15.0,\n \"delay\": 5.0,\n \"power\": -10.0\n },\n \"trade_offs\": [\n \"Area optimization may increase delay\",\n \"Aggressive sharing increases routing complexity\"\n ],\n \"error\": null\n}", "category": "multi_tool", "subcategory": "cross_stage_mapper+optimization_advisor", "difficulty": "compositional", "question_hash": "a7f247946b70", "stage1_target": "[{\"tool\": \"cross_stage_mapper\", \"parameters\": {}}, {\"tool\": \"optimization_advisor\", \"parameters\": {\"target_metric\": \"area\"}}]", "stage2_context": "Question: For test_16_sinks, the RTL-to-netlist mapping shows that both the RTL signals map to netlist wires and that no netlist cells exist. Given that, how realistic is it to expect the area-targeted optimization flow, with its aggressive operator sharing, to deliver the projected area reduction, and what trade-off does that flow carry?\n\n[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"origclk\": [\n \"origclk\"\n ],\n \"clk\": [\n \"origclk\",\n \"clk\"\n ]\n },\n \"alignment_score\": 100.0,\n \"unmapped_elements\": [],\n \"mapping_statistics\": {\n \"rtl_signals\": 2,\n \"netlist_wires\": 2,\n \"netlist_cells\": 0,\n \"mapped_signals\": 2,\n \"unmapped_signals\": 0\n },\n \"error\": null\n}\n\n[optimization_advisor {\"target_metric\": \"area\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"area\",\n \"recommended_recipes\": [\n \"synth -top test_16_sinks -flatten\",\n \"opt -full; share -aggressive; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean -purge\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"resource_sharing\",\n \"description\": \"Share arithmetic operators\",\n \"command\": \"share -aggressive\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": -15.0,\n \"delay\": 5.0,\n \"power\": -10.0\n },\n \"trade_offs\": [\n \"Area optimization may increase delay\",\n \"Aggressive sharing increases routing complexity\"\n ],\n \"error\": null\n}", "plan_id": "94be98b9c4a9", "design_id": "bcd417bbd6b0", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/The-OpenROAD-Project/OpenROAD", "commit": "3e3e483a4e3f98e2b5470b272040699de6dedbee", "path": "src/cts/test/simple_test_hier.v", "sha256": "734329f850843c0bbe79a956365a566a88b532d6c43561ffd5da15c01d238695"}} {"question": "For sirv_qspi_media, how well does the RTL-to-netlist mapping hold up, given how complex the source code is? Please give the alignment score and the number of unmapped signals, and relate them to the module's register count and cyclomatic complexity.", "answer": "The RTL-to-netlist mapping for sirv_qspi_media has an alignment score of 80.89, with 127 signals mapped and 30 left unmapped, including control registers such as state and cs_assert. This partial alignment is consistent with how complex the source is: it declares 12 regs and has a cyclomatic complexity of 80 and a nesting depth of 78.", "source_file": "github_repos/riscv-mcu_e203_hbirdv2/rtl/e203/perips/sirv_qspi_media.v", "module_name": "sirv_qspi_media", "tool_name": "cross_stage_mapper+static_analyzer", "tool_parameters": [{}, {"analysis_type": "full"}], "tool_result": "[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"io_port_dq_2_o\": [\n \"phy_io_port_dq_2_oe\",\n \"phy_io_port_dq_2_o\",\n \"io_port_dq_2_o\",\n \"io_port_dq_2_oe\"\n ],\n \"io_port_cs_0\": [\n \"io_port_cs_0\",\n \"phy_io_port_cs_0\"\n ],\n \"io_port_dq_0_o\": [\n \"io_port_dq_0_oe\",\n \"io_port_dq_0_o\",\n \"phy_io_port_dq_0_oe\",\n \"phy_io_port_dq_0_o\"\n ],\n \"T_194\": [\n \"T_194\"\n \n...[7081 chars elided]...\n ],\n \"phy_io_port_dq_2_o\": [\n \"phy_io_port_dq_2_oe\",\n \"phy_io_port_dq_2_o\"\n ],\n \"T_186\": [\n \"T_186\"\n ],\n \"GEN_20\": [],\n \"phy_io_port_dq_3_i\": [\n \"phy_io_port_dq_3_i\"\n ],\n \"T_195\": [\n \"T_195\"\n ],\n \"phy_io_port_dq_0_o\": [\n \"phy_io_port_dq_0_oe\",\n \"phy_io_port_dq_0_o\"\n ],\n \"GEN_19\": []\n },\n \"alignment_score\": 80.89,\n \"unmapped_elements\": [\n \"GEN_53\",\n \"GEN_21\",\n \"GEN_44\",\n \"GEN_8\",\n \"GEN_39\",\n \"GEN_41\",\n \"GEN_17\",\n \"GEN_40\",\n \"GEN_54\",\n \"GEN_10\",\n \"GEN_55\",\n \"cs_assert\",\n \"GEN_47\",\n \"GEN_27\",\n \"GEN_35\",\n \"GEN_45\",\n \"GEN_32\",\n \"GEN_52\",\n \"GEN_24\",\n \"state\"\n ],\n \"mapping_statistics\": {\n \"rtl_signals\": 157,\n \"netlist_wires\": 521,\n \"netlist_cells\": 0,\n \"mapped_signals\": 127,\n \"unmapped_signals\": 30\n },\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"sirv_qspi_media\",\n \"port_count\": {\n \"inputs\": 24,\n \"outputs\": 14,\n \"inouts\": 0,\n \"total\": 38\n },\n \"signal_count\": {\n \"wires\": 107,\n \"regs\": 12,\n \"parameters\": 0,\n \"total\": 119\n },\n \"always_blocks\": 4,\n \"assign_statements\": 108,\n \"instantiations\": [\n \"sirv_qspi_physical\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 481,\n \"total_lines\": 496,\n \"cyclomatic_complexity\": 80,\n \"nesting_depth\": 78,\n \"operator_count\": 219\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "category": "multi_tool", "subcategory": "cross_stage_mapper+static_analyzer", "difficulty": "compositional", "question_hash": "9de35d4f51bb", "stage1_target": "[{\"tool\": \"cross_stage_mapper\", \"parameters\": {}}, {\"tool\": \"static_analyzer\", \"parameters\": {\"analysis_type\": \"full\"}}]", "stage2_context": "Question: For sirv_qspi_media, how well does the RTL-to-netlist mapping hold up, given how complex the source code is? Please give the alignment score and the number of unmapped signals, and relate them to the module's register count and cyclomatic complexity.\n\n[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"io_port_dq_2_o\": [\n \"phy_io_port_dq_2_oe\",\n \"phy_io_port_dq_2_o\",\n \"io_port_dq_2_o\",\n \"io_port_dq_2_oe\"\n ],\n \"io_port_cs_0\": [\n \"io_port_cs_0\",\n \"phy_io_port_cs_0\"\n ],\n \"io_port_dq_0_o\": [\n \"io_port_dq_0_oe\",\n \"io_port_dq_0_o\",\n \"phy_io_port_dq_0_oe\",\n \"phy_io_port_dq_0_o\"\n ],\n \"T_194\": [\n \"T_194\"\n \n...[7081 chars elided]...\n ],\n \"phy_io_port_dq_2_o\": [\n \"phy_io_port_dq_2_oe\",\n \"phy_io_port_dq_2_o\"\n ],\n \"T_186\": [\n \"T_186\"\n ],\n \"GEN_20\": [],\n \"phy_io_port_dq_3_i\": [\n \"phy_io_port_dq_3_i\"\n ],\n \"T_195\": [\n \"T_195\"\n ],\n \"phy_io_port_dq_0_o\": [\n \"phy_io_port_dq_0_oe\",\n \"phy_io_port_dq_0_o\"\n ],\n \"GEN_19\": []\n },\n \"alignment_score\": 80.89,\n \"unmapped_elements\": [\n \"GEN_53\",\n \"GEN_21\",\n \"GEN_44\",\n \"GEN_8\",\n \"GEN_39\",\n \"GEN_41\",\n \"GEN_17\",\n \"GEN_40\",\n \"GEN_54\",\n \"GEN_10\",\n \"GEN_55\",\n \"cs_assert\",\n \"GEN_47\",\n \"GEN_27\",\n \"GEN_35\",\n \"GEN_45\",\n \"GEN_32\",\n \"GEN_52\",\n \"GEN_24\",\n \"state\"\n ],\n \"mapping_statistics\": {\n \"rtl_signals\": 157,\n \"netlist_wires\": 521,\n \"netlist_cells\": 0,\n \"mapped_signals\": 127,\n \"unmapped_signals\": 30\n },\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"sirv_qspi_media\",\n \"port_count\": {\n \"inputs\": 24,\n \"outputs\": 14,\n \"inouts\": 0,\n \"total\": 38\n },\n \"signal_count\": {\n \"wires\": 107,\n \"regs\": 12,\n \"parameters\": 0,\n \"total\": 119\n },\n \"always_blocks\": 4,\n \"assign_statements\": 108,\n \"instantiations\": [\n \"sirv_qspi_physical\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 481,\n \"total_lines\": 496,\n \"cyclomatic_complexity\": 80,\n \"nesting_depth\": 78,\n \"operator_count\": 219\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "plan_id": "367e0ae17e34", "design_id": "bf04328f80c3", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/riscv-mcu/e203_hbirdv2", "commit": "9f3e34f337f5d0a1236a285871ffa2032491617a", "path": "rtl/e203/perips/sirv_qspi_media.v", "sha256": "f025be99fed8f13907b1778881619a4ebc7f55342c8d734ab6d6dea629d78d5d"}} {"question": "For syn_csb_master, how well do the RTL signals line up with the synthesized netlist, and does the gate-level result help explain why some RTL elements, such as the state register and latched payloads, could not be mapped? Please also give the medium-optimization area, delay and flip-flop count.", "answer": "In syn_csb_master, 25 of 30 RTL signals map to the netlist, for an alignment score of 83.33. The 5 unmapped elements include m_csb_st_curr, latched_mseq_pd and latched_scsb2mcsb_pd. At medium optimization the design has an area of 390.0 and a delay of 297.26, and it has 66 $_DFFE_PN0P_ flip-flops among 386 cells, so those registers probably got flattened into bit-level DFFs with new names instead of disappearing.", "source_file": "github_repos/nvdla_hw/verif/synth_tb/csb_master.v", "module_name": "syn_csb_master", "tool_name": "cross_stage_mapper+synthesis_tool", "tool_parameters": [{}, {"optimization_level": "medium"}], "tool_result": "[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"mcsb2scsb_pd_write\": [\n \"mcsb2scsb_pd_write\"\n ],\n \"clk\": [\n \"clk\"\n ],\n \"mcsb2scsb_pd_wrbe\": [\n \"mcsb2scsb_pd_wrbe\"\n ],\n \"scsb2mcsb_error\": [\n \"scsb2mcsb_error\"\n ],\n \"mseq_pending_req\": [\n \"mseq_pending_req\"\n ],\n \"mcsb2scsb_pd_addr\": [\n \"mcsb2scsb_pd_addr\"\n ],\n \"m_csb_st_curr\": [],\n \"mcsb2scsb_pd_wdat\": [\n \n...[705 chars elided]...\nb_pd_level\"\n ],\n \"signals\": [],\n \"mcsb2mseq_consumed_req\": [\n \"mcsb2mseq_consumed_req\"\n ],\n \"mcsb2scsb_prdy\": [\n \"mcsb2scsb_prdy\"\n ],\n \"latch_req\": [\n \"latch_req\"\n ],\n \"mcsb2scsb_pvld\": [\n \"mcsb2scsb_pvld\"\n ],\n \"scsb2mcsb_wr_err\": [\n \"scsb2mcsb_wr_err\"\n ],\n \"latched_scsb2mcsb_pd\": [],\n \"mcsb2scsb_pd_srcpriv\": [\n \"mcsb2scsb_pd_srcpriv\"\n ],\n \"scsb2mcsb_wr_rdat\": [\n \"scsb2mcsb_wr_rdat\"\n ],\n \"mcsb2scsb_pd_nposted\": [\n \"mcsb2scsb_pd_nposted\"\n ]\n },\n \"alignment_score\": 83.33,\n \"unmapped_elements\": [\n \"m_csb_st_curr\",\n \"latched_mseq_pd\",\n \"reg\",\n \"signals\",\n \"latched_scsb2mcsb_pd\"\n ],\n \"mapping_statistics\": {\n \"rtl_signals\": 30,\n \"netlist_wires\": 933,\n \"netlist_cells\": 0,\n \"mapped_signals\": 25,\n \"unmapped_signals\": 5\n },\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 390.0,\n \"delay\": 297.26,\n \"power\": 0.386,\n \"gate_count\": 386,\n \"cell_breakdown\": {\n \"$_ANDNOT_\": 6,\n \"$_AND_\": 230,\n \"$_DFFE_PN0P_\": 66,\n \"$_NAND_\": 7,\n \"$_NOR_\": 5,\n \"$_NOT_\": 2,\n \"$_ORNOT_\": 4,\n \"$_OR_\": 66\n },\n \"wire_count\": 245,\n \"wire_bits\": 553,\n \"critical_path_estimate\": 297.26,\n...[1245 chars elided]...\n \"error\": null\n}", "category": "multi_tool", "subcategory": "cross_stage_mapper+synthesis_tool", "difficulty": "compositional", "question_hash": "3974cbd8ff3c", "stage1_target": "[{\"tool\": \"cross_stage_mapper\", \"parameters\": {}}, {\"tool\": \"synthesis_tool\", \"parameters\": {\"optimization_level\": \"medium\"}}]", "stage2_context": "Question: For syn_csb_master, how well do the RTL signals line up with the synthesized netlist, and does the gate-level result help explain why some RTL elements, such as the state register and latched payloads, could not be mapped? Please also give the medium-optimization area, delay and flip-flop count.\n\n[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"mcsb2scsb_pd_write\": [\n \"mcsb2scsb_pd_write\"\n ],\n \"clk\": [\n \"clk\"\n ],\n \"mcsb2scsb_pd_wrbe\": [\n \"mcsb2scsb_pd_wrbe\"\n ],\n \"scsb2mcsb_error\": [\n \"scsb2mcsb_error\"\n ],\n \"mseq_pending_req\": [\n \"mseq_pending_req\"\n ],\n \"mcsb2scsb_pd_addr\": [\n \"mcsb2scsb_pd_addr\"\n ],\n \"m_csb_st_curr\": [],\n \"mcsb2scsb_pd_wdat\": [\n \n...[705 chars elided]...\nb_pd_level\"\n ],\n \"signals\": [],\n \"mcsb2mseq_consumed_req\": [\n \"mcsb2mseq_consumed_req\"\n ],\n \"mcsb2scsb_prdy\": [\n \"mcsb2scsb_prdy\"\n ],\n \"latch_req\": [\n \"latch_req\"\n ],\n \"mcsb2scsb_pvld\": [\n \"mcsb2scsb_pvld\"\n ],\n \"scsb2mcsb_wr_err\": [\n \"scsb2mcsb_wr_err\"\n ],\n \"latched_scsb2mcsb_pd\": [],\n \"mcsb2scsb_pd_srcpriv\": [\n \"mcsb2scsb_pd_srcpriv\"\n ],\n \"scsb2mcsb_wr_rdat\": [\n \"scsb2mcsb_wr_rdat\"\n ],\n \"mcsb2scsb_pd_nposted\": [\n \"mcsb2scsb_pd_nposted\"\n ]\n },\n \"alignment_score\": 83.33,\n \"unmapped_elements\": [\n \"m_csb_st_curr\",\n \"latched_mseq_pd\",\n \"reg\",\n \"signals\",\n \"latched_scsb2mcsb_pd\"\n ],\n \"mapping_statistics\": {\n \"rtl_signals\": 30,\n \"netlist_wires\": 933,\n \"netlist_cells\": 0,\n \"mapped_signals\": 25,\n \"unmapped_signals\": 5\n },\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 390.0,\n \"delay\": 297.26,\n \"power\": 0.386,\n \"gate_count\": 386,\n \"cell_breakdown\": {\n \"$_ANDNOT_\": 6,\n \"$_AND_\": 230,\n \"$_DFFE_PN0P_\": 66,\n \"$_NAND_\": 7,\n \"$_NOR_\": 5,\n \"$_NOT_\": 2,\n \"$_ORNOT_\": 4,\n \"$_OR_\": 66\n },\n \"wire_count\": 245,\n \"wire_bits\": 553,\n \"critical_path_estimate\": 297.26,\n...[1245 chars elided]...\n \"error\": null\n}", "plan_id": "9c9ab3eaefe5", "design_id": "bf9704e223e3", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/nvdla/hw", "commit": "8e06b1b9d85aab65b40d43d08eec5ea4681ff715", "path": "verif/synth_tb/csb_master.v", "sha256": "fd329eaabe3abe373f17a256cd045a2655566f0d23f18bb8a60e1b37a4012fbf"}} {"question": "For syn_csb_master, how does the control complexity in the source code relate to the synthesized logic? Specifically, do the 10 declared regs and 3 always blocks match the number of flip-flops in the medium-optimization synthesis, and what does the gate mix say about how the logic is structured?", "answer": "In syn_csb_master, the 10 regs written across 3 always blocks synthesize to 66 $_DFFE_PN0P_ enable flip-flops, so most of those regs are multi-bit. The cyclomatic complexity of 31 matches a design dominated by mux-style AND/OR logic (230 $_AND_ and 66 $_OR_ cells out of 386 gates), and that logic sets a critical path estimate of 297.26.", "source_file": "github_repos/nvdla_hw/verif/synth_tb/csb_master.v", "module_name": "syn_csb_master", "tool_name": "static_analyzer+synthesis_tool", "tool_parameters": [{"analysis_type": "full"}, {"optimization_level": "medium"}], "tool_result": "[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"syn_csb_master\",\n \"port_count\": {\n \"inputs\": 11,\n \"outputs\": 10,\n \"inouts\": 0,\n \"total\": 21\n },\n \"signal_count\": {\n \"wires\": 14,\n \"regs\": 10,\n \"parameters\": 0,\n \"total\": 24\n },\n \"always_blocks\": 3,\n \"assign_statements\": 7,\n \"instantiations\": [\n \"0\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 159,\n \"total_lines\": 197,\n \"cyclomatic_complexity\": 31,\n \"nesting_depth\": 33,\n \"operator_count\": 96\n },\n \"lint_warnings\": [],\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 390.0,\n \"delay\": 297.26,\n \"power\": 0.386,\n \"gate_count\": 386,\n \"cell_breakdown\": {\n \"$_ANDNOT_\": 6,\n \"$_AND_\": 230,\n \"$_DFFE_PN0P_\": 66,\n \"$_NAND_\": 7,\n \"$_NOR_\": 5,\n \"$_NOT_\": 2,\n \"$_ORNOT_\": 4,\n \"$_OR_\": 66\n },\n \"wire_count\": 245,\n \"wire_bits\": 553,\n \"critical_path_estimate\": 297.26,\n...[1245 chars elided]...\n \"error\": null\n}", "category": "multi_tool", "subcategory": "static_analyzer+synthesis_tool", "difficulty": "compositional", "question_hash": "7aa03dde6d07", "stage1_target": "[{\"tool\": \"static_analyzer\", \"parameters\": {\"analysis_type\": \"full\"}}, {\"tool\": \"synthesis_tool\", \"parameters\": {\"optimization_level\": \"medium\"}}]", "stage2_context": "Question: For syn_csb_master, how does the control complexity in the source code relate to the synthesized logic? Specifically, do the 10 declared regs and 3 always blocks match the number of flip-flops in the medium-optimization synthesis, and what does the gate mix say about how the logic is structured?\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"syn_csb_master\",\n \"port_count\": {\n \"inputs\": 11,\n \"outputs\": 10,\n \"inouts\": 0,\n \"total\": 21\n },\n \"signal_count\": {\n \"wires\": 14,\n \"regs\": 10,\n \"parameters\": 0,\n \"total\": 24\n },\n \"always_blocks\": 3,\n \"assign_statements\": 7,\n \"instantiations\": [\n \"0\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 159,\n \"total_lines\": 197,\n \"cyclomatic_complexity\": 31,\n \"nesting_depth\": 33,\n \"operator_count\": 96\n },\n \"lint_warnings\": [],\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 390.0,\n \"delay\": 297.26,\n \"power\": 0.386,\n \"gate_count\": 386,\n \"cell_breakdown\": {\n \"$_ANDNOT_\": 6,\n \"$_AND_\": 230,\n \"$_DFFE_PN0P_\": 66,\n \"$_NAND_\": 7,\n \"$_NOR_\": 5,\n \"$_NOT_\": 2,\n \"$_ORNOT_\": 4,\n \"$_OR_\": 66\n },\n \"wire_count\": 245,\n \"wire_bits\": 553,\n \"critical_path_estimate\": 297.26,\n...[1245 chars elided]...\n \"error\": null\n}", "plan_id": "9f9266391850", "design_id": "bf9704e223e3", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/nvdla/hw", "commit": "8e06b1b9d85aab65b40d43d08eec5ea4681ff715", "path": "verif/synth_tb/csb_master.v", "sha256": "fd329eaabe3abe373f17a256cd045a2655566f0d23f18bb8a60e1b37a4012fbf"}} {"question": "For sirv_AsyncResetRegVec_36, does the RTL-to-netlist signal correspondence look complete, and how does it relate to the structure in the module's CDFG, meaning how many register instances there are, how many ports, and how they are connected?", "answer": "sirv_AsyncResetRegVec_36 maps all 25 RTL signals to 25 netlist wires with an alignment score of 100.0, no unmapped elements and 0 netlist cells. This matches its CDFG, which has 8 nodes (3 sirv_AsyncResetReg instances, 4 input ports and 1 output port) connected by 15 edges with an average degree of 1.88, so the module is just a wrapper around submodule instances and has no glue logic of its own.", "source_file": "github_repos/riscv-mcu_e203_hbirdv2/rtl/e203/perips/sirv_AsyncResetRegVec_36.v", "module_name": "sirv_AsyncResetRegVec_36", "tool_name": "cross_stage_mapper+graph_extractor", "tool_parameters": [{}, {"graph_type": "CDFG"}], "tool_result": "[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"reg_1_rst\": [\n \"reg_1_rst\"\n ],\n \"reg_1_clk\": [\n \"reg_1_clk\"\n ],\n \"reg_2_en\": [\n \"reg_2_en\"\n ],\n \"clock\": [\n \"clock\"\n ],\n \"T_9\": [\n \"T_9\"\n ],\n \"reg_0_d\": [\n \"reg_0_d\"\n ],\n \"io_q\": [\n \"io_q\"\n ],\n \"reg_2_rst\": [\n \"reg_2_rst\"\n ],\n \"reg_1_d\": [\n \"reg_1_d\"\n ],\n \"reg_1_q\": [\n \"reg_1_q\"\n ],\n \"reset\": [\n \"reset\"\n ],\n \"reg_0_clk\": [\n \"reg_0_clk\"\n ],\n \"reg_2_d\": [\n \"reg_2_d\"\n ],\n \"reg_0_en\": [\n \"reg_0_en\"\n ],\n \"reg_1_en\": [\n \"reg_1_en\"\n ],\n \"T_11\": [\n \"T_11\"\n ],\n \"reg_0_rst\": [\n \"reg_0_rst\"\n ],\n \"reg_2_clk\": [\n \"reg_2_clk\"\n ],\n \"T_8\": [\n \"T_8\"\n ],\n \"T_10\": [\n \"T_10\"\n ],\n \"reg_2_q\": [\n \"reg_2_q\"\n ],\n \"io_d\": [\n \"io_d\"\n ],\n \"reg_0_q\": [\n \"reg_0_q\"\n ],\n \"T_12\": [\n \"T_12\"\n ],\n \"io_en\": [\n \"io_en\"\n ]\n },\n \"alignment_score\": 100.0,\n \"unmapped_elements\": [],\n \"mapping_statistics\": {\n \"rtl_signals\": 25,\n \"netlist_wires\": 25,\n \"netlist_cells\": 0,\n \"mapped_signals\": 25,\n \"unmapped_signals\": 0\n },\n \"error\": null\n}\n\n[graph_extractor {\"graph_type\": \"CDFG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"CDFG\",\n...[1440 chars elided]...\n \"node_count\": 8,\n \"edge_count\": 15,\n \"graph_properties\": {\n \"node_types\": {\n \"sirv_AsyncResetReg\": 3,\n \"port_input\": 4,\n \"port_output\": 1\n },\n \"avg_degree\": 1.88,\n \"module_name\": \"sirv_AsyncResetRegVec_36\"\n },\n \"error\": null\n}", "category": "multi_tool", "subcategory": "cross_stage_mapper+graph_extractor", "difficulty": "compositional", "question_hash": "059b9c15ff37", "stage1_target": "[{\"tool\": \"cross_stage_mapper\", \"parameters\": {}}, {\"tool\": \"graph_extractor\", \"parameters\": {\"graph_type\": \"CDFG\"}}]", "stage2_context": "Question: For sirv_AsyncResetRegVec_36, does the RTL-to-netlist signal correspondence look complete, and how does it relate to the structure in the module's CDFG, meaning how many register instances there are, how many ports, and how they are connected?\n\n[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"reg_1_rst\": [\n \"reg_1_rst\"\n ],\n \"reg_1_clk\": [\n \"reg_1_clk\"\n ],\n \"reg_2_en\": [\n \"reg_2_en\"\n ],\n \"clock\": [\n \"clock\"\n ],\n \"T_9\": [\n \"T_9\"\n ],\n \"reg_0_d\": [\n \"reg_0_d\"\n ],\n \"io_q\": [\n \"io_q\"\n ],\n \"reg_2_rst\": [\n \"reg_2_rst\"\n ],\n \"reg_1_d\": [\n \"reg_1_d\"\n ],\n \"reg_1_q\": [\n \"reg_1_q\"\n ],\n \"reset\": [\n \"reset\"\n ],\n \"reg_0_clk\": [\n \"reg_0_clk\"\n ],\n \"reg_2_d\": [\n \"reg_2_d\"\n ],\n \"reg_0_en\": [\n \"reg_0_en\"\n ],\n \"reg_1_en\": [\n \"reg_1_en\"\n ],\n \"T_11\": [\n \"T_11\"\n ],\n \"reg_0_rst\": [\n \"reg_0_rst\"\n ],\n \"reg_2_clk\": [\n \"reg_2_clk\"\n ],\n \"T_8\": [\n \"T_8\"\n ],\n \"T_10\": [\n \"T_10\"\n ],\n \"reg_2_q\": [\n \"reg_2_q\"\n ],\n \"io_d\": [\n \"io_d\"\n ],\n \"reg_0_q\": [\n \"reg_0_q\"\n ],\n \"T_12\": [\n \"T_12\"\n ],\n \"io_en\": [\n \"io_en\"\n ]\n },\n \"alignment_score\": 100.0,\n \"unmapped_elements\": [],\n \"mapping_statistics\": {\n \"rtl_signals\": 25,\n \"netlist_wires\": 25,\n \"netlist_cells\": 0,\n \"mapped_signals\": 25,\n \"unmapped_signals\": 0\n },\n \"error\": null\n}\n\n[graph_extractor {\"graph_type\": \"CDFG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"CDFG\",\n...[1440 chars elided]...\n \"node_count\": 8,\n \"edge_count\": 15,\n \"graph_properties\": {\n \"node_types\": {\n \"sirv_AsyncResetReg\": 3,\n \"port_input\": 4,\n \"port_output\": 1\n },\n \"avg_degree\": 1.88,\n \"module_name\": \"sirv_AsyncResetRegVec_36\"\n },\n \"error\": null\n}", "plan_id": "613f768cdaa5", "design_id": "c035dda61bf6", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/riscv-mcu/e203_hbirdv2", "commit": "9f3e34f337f5d0a1236a285871ffa2032491617a", "path": "rtl/e203/perips/sirv_AsyncResetRegVec_36.v", "sha256": "741613f950eb24a1266bbbe2722ac98ecae9abd647350243c6d9545c73cabb7d"}} {"question": "For servant_md_kolibri, the RTL-to-netlist signal mapping leaves some signals unmapped, and the source code looks very simple. Does it make sense to apply an area-targeted optimization flow based on aggressive operator sharing to this module? Use the mapping coverage, the code structure, and the projected gains and trade-offs of the area recipe to explain.", "answer": "servant_md_kolibri reaches only a 71.43 alignment score: 5 signals are mapped, while rst and wire are unmapped, and the netlist has 0 cells. Its source is also very simple, with a cyclomatic complexity of 1, 1 always block, 1 assign statement and no instantiations. Because of this, the area-targeted recipe's estimated -15.0 area gain from 'share -aggressive' is unlikely to be worth much here, and it comes with a 5.0 delay penalty and more complex routing.", "source_file": "github_repos/olofk_serv/servant/servant_md_kolibri.v", "module_name": "servant_md_kolibri", "tool_name": "cross_stage_mapper+optimization_advisor+static_analyzer", "tool_parameters": [{}, {"target_metric": "area"}, {"analysis_type": "full"}], "tool_result": "[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"led\": [\n \"led\"\n ],\n \"locked\": [\n \"locked\"\n ],\n \"rst\": [],\n \"wire\": [],\n \"tx\": [\n \"tx\"\n ],\n \"clk32\": [\n \"clk32\"\n ],\n \"clk48\": [\n \"clk48\"\n ]\n },\n \"alignment_score\": 71.43,\n \"unmapped_elements\": [\n \"rst\",\n \"wire\"\n ],\n \"mapping_statistics\": {\n \"rtl_signals\": 7,\n \"netlist_wires\": 8,\n \"netlist_cells\": 0,\n \"mapped_signals\": 5,\n \"unmapped_signals\": 2\n },\n \"error\": null\n}\n\n[optimization_advisor {\"target_metric\": \"area\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"area\",\n \"recommended_recipes\": [\n \"synth -top servant_md_kolibri -flatten\",\n \"opt -full; share -aggressive; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean -purge\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"resource_sharing\",\n \"description\": \"Share arithmetic operators\",\n \"command\": \"share -aggressive\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": -15.0,\n \"delay\": 5.0,\n \"power\": -10.0\n },\n \"trade_offs\": [\n \"Area optimization may increase delay\",\n \"Aggressive sharing increases routing complexity\"\n ],\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"servant_md_kolibri\",\n \"port_count\": {\n \"inputs\": 1,\n \"outputs\": 2,\n \"inouts\": 0,\n \"total\": 3\n },\n \"signal_count\": {\n \"wires\": 5,\n \"regs\": 1,\n \"parameters\": 2,\n \"total\": 6\n },\n \"always_blocks\": 1,\n \"assign_statements\": 1,\n \"instantiations\": [],\n \"code_complexity\": {\n \"lines_of_code\": 35,\n \"total_lines\": 47,\n \"cyclomatic_complexity\": 1,\n \"nesting_depth\": 0,\n \"operator_count\": 24\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "category": "multi_tool", "subcategory": "cross_stage_mapper+optimization_advisor+static_analyzer", "difficulty": "compositional", "question_hash": "76df05dc7546", "stage1_target": "[{\"tool\": \"cross_stage_mapper\", \"parameters\": {}}, {\"tool\": \"optimization_advisor\", \"parameters\": {\"target_metric\": \"area\"}}, {\"tool\": \"static_analyzer\", \"parameters\": {\"analysis_type\": \"full\"}}]", "stage2_context": "Question: For servant_md_kolibri, the RTL-to-netlist signal mapping leaves some signals unmapped, and the source code looks very simple. Does it make sense to apply an area-targeted optimization flow based on aggressive operator sharing to this module? Use the mapping coverage, the code structure, and the projected gains and trade-offs of the area recipe to explain.\n\n[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"led\": [\n \"led\"\n ],\n \"locked\": [\n \"locked\"\n ],\n \"rst\": [],\n \"wire\": [],\n \"tx\": [\n \"tx\"\n ],\n \"clk32\": [\n \"clk32\"\n ],\n \"clk48\": [\n \"clk48\"\n ]\n },\n \"alignment_score\": 71.43,\n \"unmapped_elements\": [\n \"rst\",\n \"wire\"\n ],\n \"mapping_statistics\": {\n \"rtl_signals\": 7,\n \"netlist_wires\": 8,\n \"netlist_cells\": 0,\n \"mapped_signals\": 5,\n \"unmapped_signals\": 2\n },\n \"error\": null\n}\n\n[optimization_advisor {\"target_metric\": \"area\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"area\",\n \"recommended_recipes\": [\n \"synth -top servant_md_kolibri -flatten\",\n \"opt -full; share -aggressive; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean -purge\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"resource_sharing\",\n \"description\": \"Share arithmetic operators\",\n \"command\": \"share -aggressive\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": -15.0,\n \"delay\": 5.0,\n \"power\": -10.0\n },\n \"trade_offs\": [\n \"Area optimization may increase delay\",\n \"Aggressive sharing increases routing complexity\"\n ],\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"servant_md_kolibri\",\n \"port_count\": {\n \"inputs\": 1,\n \"outputs\": 2,\n \"inouts\": 0,\n \"total\": 3\n },\n \"signal_count\": {\n \"wires\": 5,\n \"regs\": 1,\n \"parameters\": 2,\n \"total\": 6\n },\n \"always_blocks\": 1,\n \"assign_statements\": 1,\n \"instantiations\": [],\n \"code_complexity\": {\n \"lines_of_code\": 35,\n \"total_lines\": 47,\n \"cyclomatic_complexity\": 1,\n \"nesting_depth\": 0,\n \"operator_count\": 24\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "plan_id": "7c3bc62f3f6e", "design_id": "c38b3b4dc470", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 3, "ctx_cap": 3300, "source": {"repository": "https://github.com/olofk/serv", "commit": "f200eb2ed7b69ac1c6b8eddd47654522aeee5ce8", "path": "servant/servant_md_kolibri.v", "sha256": "e651ea90cb0ac3e078b6f2083aee725c458d11659e0c63bcc9f72d3e9149635a"}} {"question": "In servant_md_kolibri, the RTL-to-netlist signal mapping leaves some signals unmatched. Using that mapping and the AIG graph of the module, explain why the reset signal could be missing from the netlist, and say what the AIG shows actually drives the servant core's wb_rst input.", "answer": "In servant_md_kolibri, the RTL-to-netlist mapping matches only 5 of 7 RTL signals, giving an alignment score of 71.43, and 'rst' and 'wire' are left unmapped. The AIG graph has 7 nodes and 13 edges, including one $_DFF_P_ and one $_NOT_ cell, which indicates that rst is created inside the module by a register and inverter (the inverter comes from source line 34.13-34.20) and is not a primary signal. In the AIG, the servant core's wb_rst port connects to node 6, and its wb_clk port shares node 4 with the SB_PLL40_CORE's PLLOUTCORE output.", "source_file": "github_repos/olofk_serv/servant/servant_md_kolibri.v", "module_name": "servant_md_kolibri", "tool_name": "cross_stage_mapper+graph_extractor", "tool_parameters": [{}, {"graph_type": "AIG"}], "tool_result": "[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"led\": [\n \"led\"\n ],\n \"locked\": [\n \"locked\"\n ],\n \"rst\": [],\n \"wire\": [],\n \"tx\": [\n \"tx\"\n ],\n \"clk32\": [\n \"clk32\"\n ],\n \"clk48\": [\n \"clk48\"\n ]\n },\n \"alignment_score\": 71.43,\n \"unmapped_elements\": [\n \"rst\",\n \"wire\"\n ],\n \"mapping_statistics\": {\n \"rtl_signals\": 7,\n \"netlist_wires\": 8,\n \"netlist_cells\": 0,\n \"mapped_signals\": 5,\n \"unmapped_signals\": 2\n },\n \"error\": null\n}\n\n[graph_extractor {\"graph_type\": \"AIG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"AIG\",\n...[1616 chars elided]...\n \"node_count\": 7,\n \"edge_count\": 13,\n \"graph_properties\": {\n \"node_types\": {\n \"$_DFF_P_\": 1,\n \"$_NOT_\": 1,\n \"servant\": 1,\n \"SB_PLL40_CORE\": 1,\n \"port_input\": 1,\n \"port_output\": 2\n },\n \"avg_degree\": 1.86,\n \"module_name\": \"servant_md_kolibri\"\n },\n \"error\": null\n}", "category": "multi_tool", "subcategory": "cross_stage_mapper+graph_extractor", "difficulty": "compositional", "question_hash": "1998e78a73ce", "stage1_target": "[{\"tool\": \"cross_stage_mapper\", \"parameters\": {}}, {\"tool\": \"graph_extractor\", \"parameters\": {\"graph_type\": \"AIG\"}}]", "stage2_context": "Question: In servant_md_kolibri, the RTL-to-netlist signal mapping leaves some signals unmatched. Using that mapping and the AIG graph of the module, explain why the reset signal could be missing from the netlist, and say what the AIG shows actually drives the servant core's wb_rst input.\n\n[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"led\": [\n \"led\"\n ],\n \"locked\": [\n \"locked\"\n ],\n \"rst\": [],\n \"wire\": [],\n \"tx\": [\n \"tx\"\n ],\n \"clk32\": [\n \"clk32\"\n ],\n \"clk48\": [\n \"clk48\"\n ]\n },\n \"alignment_score\": 71.43,\n \"unmapped_elements\": [\n \"rst\",\n \"wire\"\n ],\n \"mapping_statistics\": {\n \"rtl_signals\": 7,\n \"netlist_wires\": 8,\n \"netlist_cells\": 0,\n \"mapped_signals\": 5,\n \"unmapped_signals\": 2\n },\n \"error\": null\n}\n\n[graph_extractor {\"graph_type\": \"AIG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"AIG\",\n...[1616 chars elided]...\n \"node_count\": 7,\n \"edge_count\": 13,\n \"graph_properties\": {\n \"node_types\": {\n \"$_DFF_P_\": 1,\n \"$_NOT_\": 1,\n \"servant\": 1,\n \"SB_PLL40_CORE\": 1,\n \"port_input\": 1,\n \"port_output\": 2\n },\n \"avg_degree\": 1.86,\n \"module_name\": \"servant_md_kolibri\"\n },\n \"error\": null\n}", "plan_id": "86b2625f2342", "design_id": "c38b3b4dc470", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/olofk/serv", "commit": "f200eb2ed7b69ac1c6b8eddd47654522aeee5ce8", "path": "servant/servant_md_kolibri.v", "sha256": "e651ea90cb0ac3e078b6f2083aee725c458d11659e0c63bcc9f72d3e9149635a"}} {"question": "For NV_NVDLA_GLB_csb, how does the amount of register state in the source code compare with the flip-flops that show up after medium-effort synthesis, and does the gate-level critical path fit with the code's control complexity?", "answer": "The NV_NVDLA_GLB_csb source declares only 5 regs across 4 always blocks, but medium-effort synthesis produces 78 $_DFFE_PP_ enable flops and 2 $_DFF_PN0_ reset flops among 162 cells. So each declared reg must be a wide multi-bit bus, and the logic around them is shallow, with 79 $_AND_ gates and only 1 $_OR_ gate. Despite a cyclomatic complexity of 17 and a nesting depth of 14, the estimated critical path is 472.88 at an area of 473.5, which suggests most decision logic sits inside the separately instantiated NV_NVDLA_GLB_CSB_reg submodule.", "source_file": "github_repos/nvdla_hw/vmod/nvdla/glb/NV_NVDLA_GLB_csb.v", "module_name": "NV_NVDLA_GLB_csb", "tool_name": "static_analyzer+synthesis_tool", "tool_parameters": [{"analysis_type": "full"}, {"optimization_level": "medium"}], "tool_result": "[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"NV_NVDLA_GLB_csb\",\n \"port_count\": {\n \"inputs\": 20,\n \"outputs\": 22,\n \"inouts\": 0,\n \"total\": 42\n },\n \"signal_count\": {\n \"wires\": 36,\n \"regs\": 5,\n \"parameters\": 0,\n \"total\": 41\n },\n \"always_blocks\": 4,\n \"assign_statements\": 40,\n \"instantiations\": [\n \"NV_NVDLA_GLB_CSB_reg\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 257,\n \"total_lines\": 324,\n \"cyclomatic_complexity\": 17,\n \"nesting_depth\": 14,\n \"operator_count\": 857\n },\n \"lint_warnings\": [],\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 473.5,\n \"delay\": 472.88,\n \"power\": 0.162,\n \"gate_count\": 162,\n \"cell_breakdown\": {\n \"$_AND_\": 79,\n \"$_DFFE_PP_\": 78,\n \"$_DFF_PN0_\": 2,\n \"$_NOT_\": 1,\n \"$_OR_\": 1,\n \"NV_NVDLA_GLB_CSB_reg\": 1\n },\n \"wire_count\": 82,\n \"wire_bits\": 621,\n \"critical_path_estimate\": 472.88,\n...[1208 chars elided]...\n \"error\": null\n}", "category": "multi_tool", "subcategory": "static_analyzer+synthesis_tool", "difficulty": "compositional", "question_hash": "6522844ff284", "stage1_target": "[{\"tool\": \"static_analyzer\", \"parameters\": {\"analysis_type\": \"full\"}}, {\"tool\": \"synthesis_tool\", \"parameters\": {\"optimization_level\": \"medium\"}}]", "stage2_context": "Question: For NV_NVDLA_GLB_csb, how does the amount of register state in the source code compare with the flip-flops that show up after medium-effort synthesis, and does the gate-level critical path fit with the code's control complexity?\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"NV_NVDLA_GLB_csb\",\n \"port_count\": {\n \"inputs\": 20,\n \"outputs\": 22,\n \"inouts\": 0,\n \"total\": 42\n },\n \"signal_count\": {\n \"wires\": 36,\n \"regs\": 5,\n \"parameters\": 0,\n \"total\": 41\n },\n \"always_blocks\": 4,\n \"assign_statements\": 40,\n \"instantiations\": [\n \"NV_NVDLA_GLB_CSB_reg\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 257,\n \"total_lines\": 324,\n \"cyclomatic_complexity\": 17,\n \"nesting_depth\": 14,\n \"operator_count\": 857\n },\n \"lint_warnings\": [],\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 473.5,\n \"delay\": 472.88,\n \"power\": 0.162,\n \"gate_count\": 162,\n \"cell_breakdown\": {\n \"$_AND_\": 79,\n \"$_DFFE_PP_\": 78,\n \"$_DFF_PN0_\": 2,\n \"$_NOT_\": 1,\n \"$_OR_\": 1,\n \"NV_NVDLA_GLB_CSB_reg\": 1\n },\n \"wire_count\": 82,\n \"wire_bits\": 621,\n \"critical_path_estimate\": 472.88,\n...[1208 chars elided]...\n \"error\": null\n}", "plan_id": "29122ad81b71", "design_id": "c6c17a919b77", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/nvdla/hw", "commit": "8e06b1b9d85aab65b40d43d08eec5ea4681ff715", "path": "vmod/nvdla/glb/NV_NVDLA_GLB_csb.v", "sha256": "e4097ebce8a6655687586df1e995c18b97ff799cf3a3b6666c58d7c640d1847d"}} {"question": "For NV_NVDLA_SDP_MRDMA_gate, how much of the RTL makes it into the netlist, and does the source code's complexity explain the signals that get dropped? Compare the mapping coverage with the module's port, always-block and complexity figures.", "answer": "In NV_NVDLA_SDP_MRDMA_gate, only 10 of the 30 RTL signals map into the netlist. The other 20 are unmapped, and the netlist has 24 wires and 0 cells. That fits a module with just 7 inputs and 1 output but 11 always blocks, a cyclomatic complexity of 63 and a nesting depth of 41, mostly made up of testpoint, coverage and clock-gating monitor logic that simulates but doesn't synthesize into hardware.", "source_file": "github_repos/nvdla_hw/vmod/nvdla/sdp/NV_NVDLA_SDP_MRDMA_gate.v", "module_name": "NV_NVDLA_SDP_MRDMA_gate", "tool_name": "cross_stage_mapper+static_analyzer", "tool_parameters": [{}, {"analysis_type": "full"}], "tool_result": "[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"assert2slcg_disable_clock_gating_0\": [],\n \"testpoint_got_reset_testpoint_0_internal_nvdla_core_rstn_with_clock_testpoint_0_internal_nvdla_core_clk\": [],\n \"testpoint_0_count_0\": [],\n \"dla_clk_ovr_on_sync\": [\n \"dla_clk_ovr_on_sync\"\n ],\n \"nvdla_core_clk_slcg_0_icg_override_to_gateable\": [],\n \"testpoint_0_internal_nvdla_core_clk\": [],\n \"nvdla_core_clk\"\n...[1479 chars elided]...\na_core_clk_slcg_0_icg_override_to_gateable\",\n \"testpoint_0_internal_nvdla_core_clk\",\n \"nvdla_core_clk_slcg_0_icg_override_to_ungated\",\n \"testpoint_0_internal_nvdla_core_rstn\",\n \"nvdla_core_clk_slcg_0_icg_disable_eos\",\n \"done_monitor_0\",\n \"testpoint_1_count_0\",\n \"testpoint_1_internal_nvdla_core_clk\",\n \"testpoint_0_goal_0\",\n \"testpoint_1_goal_0\",\n \"testpoint_got_reset_testpoint_1_internal_nvdla_core_rstn_with_clock_testpoint_1_internal_nvdla_core_clk\",\n \"testpoint_1_internal_nvdla_core_rstn\",\n \"mrdma_enable\",\n \"testpoint_0_goal_0_active\",\n \"testpoint_1_goal_0_active\",\n \"nvdla_core_clk_slcg_0_end_of_sim_clock_enable\",\n \"monitor_icg_summary_0\"\n ],\n \"mapping_statistics\": {\n \"rtl_signals\": 30,\n \"netlist_wires\": 24,\n \"netlist_cells\": 0,\n \"mapped_signals\": 10,\n \"unmapped_signals\": 20\n },\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"NV_NVDLA_SDP_MRDMA_gate\",\n \"port_count\": {\n \"inputs\": 7,\n \"outputs\": 1,\n \"inouts\": 0,\n \"total\": 8\n },\n \"signal_count\": {\n \"wires\": 12,\n \"regs\": 12,\n \"parameters\": 0,\n \"total\": 24\n },\n \"always_blocks\": 11,\n \"assign_statements\": 5,\n \"instantiations\": [\n \"ASSOCIATE_TESTPOINT_NAME_GOAL_NUMBER\",\n \"SIMTOP_EOS_SIGNAL\",\n \"endif\",\n \"NV_CLK_gate_power\",\n \"FV_COVER_ON\",\n \"HAS_RETENTION_TESTPOINT_GOAL_0\",\n \"HAS_RETENTION_TESTPOINT_RESET_0\",\n \"COVER_PRINT_TESTPOINT_HITS\",\n \"HAS_RETENTION_TESTPOINT_RESET_1\",\n \"HAS_RETENTION_TESTPOINT_GOAL_1\",\n \"system_verilog_testpoint\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 315,\n \"total_lines\": 449,\n \"cyclomatic_complexity\": 63,\n \"nesting_depth\": 41,\n \"operator_count\": 669\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "category": "multi_tool", "subcategory": "cross_stage_mapper+static_analyzer", "difficulty": "compositional", "question_hash": "7cbceae23417", "stage1_target": "[{\"tool\": \"cross_stage_mapper\", \"parameters\": {}}, {\"tool\": \"static_analyzer\", \"parameters\": {\"analysis_type\": \"full\"}}]", "stage2_context": "Question: For NV_NVDLA_SDP_MRDMA_gate, how much of the RTL makes it into the netlist, and does the source code's complexity explain the signals that get dropped? Compare the mapping coverage with the module's port, always-block and complexity figures.\n\n[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"assert2slcg_disable_clock_gating_0\": [],\n \"testpoint_got_reset_testpoint_0_internal_nvdla_core_rstn_with_clock_testpoint_0_internal_nvdla_core_clk\": [],\n \"testpoint_0_count_0\": [],\n \"dla_clk_ovr_on_sync\": [\n \"dla_clk_ovr_on_sync\"\n ],\n \"nvdla_core_clk_slcg_0_icg_override_to_gateable\": [],\n \"testpoint_0_internal_nvdla_core_clk\": [],\n \"nvdla_core_clk\"\n...[1479 chars elided]...\na_core_clk_slcg_0_icg_override_to_gateable\",\n \"testpoint_0_internal_nvdla_core_clk\",\n \"nvdla_core_clk_slcg_0_icg_override_to_ungated\",\n \"testpoint_0_internal_nvdla_core_rstn\",\n \"nvdla_core_clk_slcg_0_icg_disable_eos\",\n \"done_monitor_0\",\n \"testpoint_1_count_0\",\n \"testpoint_1_internal_nvdla_core_clk\",\n \"testpoint_0_goal_0\",\n \"testpoint_1_goal_0\",\n \"testpoint_got_reset_testpoint_1_internal_nvdla_core_rstn_with_clock_testpoint_1_internal_nvdla_core_clk\",\n \"testpoint_1_internal_nvdla_core_rstn\",\n \"mrdma_enable\",\n \"testpoint_0_goal_0_active\",\n \"testpoint_1_goal_0_active\",\n \"nvdla_core_clk_slcg_0_end_of_sim_clock_enable\",\n \"monitor_icg_summary_0\"\n ],\n \"mapping_statistics\": {\n \"rtl_signals\": 30,\n \"netlist_wires\": 24,\n \"netlist_cells\": 0,\n \"mapped_signals\": 10,\n \"unmapped_signals\": 20\n },\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"NV_NVDLA_SDP_MRDMA_gate\",\n \"port_count\": {\n \"inputs\": 7,\n \"outputs\": 1,\n \"inouts\": 0,\n \"total\": 8\n },\n \"signal_count\": {\n \"wires\": 12,\n \"regs\": 12,\n \"parameters\": 0,\n \"total\": 24\n },\n \"always_blocks\": 11,\n \"assign_statements\": 5,\n \"instantiations\": [\n \"ASSOCIATE_TESTPOINT_NAME_GOAL_NUMBER\",\n \"SIMTOP_EOS_SIGNAL\",\n \"endif\",\n \"NV_CLK_gate_power\",\n \"FV_COVER_ON\",\n \"HAS_RETENTION_TESTPOINT_GOAL_0\",\n \"HAS_RETENTION_TESTPOINT_RESET_0\",\n \"COVER_PRINT_TESTPOINT_HITS\",\n \"HAS_RETENTION_TESTPOINT_RESET_1\",\n \"HAS_RETENTION_TESTPOINT_GOAL_1\",\n \"system_verilog_testpoint\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 315,\n \"total_lines\": 449,\n \"cyclomatic_complexity\": 63,\n \"nesting_depth\": 41,\n \"operator_count\": 669\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "plan_id": "3ae0af9308eb", "design_id": "c6dff7da5e3a", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/nvdla/hw", "commit": "8e06b1b9d85aab65b40d43d08eec5ea4681ff715", "path": "vmod/nvdla/sdp/NV_NVDLA_SDP_MRDMA_gate.v", "sha256": "c42d9a76e0b3d041bcc748a1b0a4a71bdb7f18a7d63e3be3ae7ea5facf66fa02"}} {"question": "For sirv_hclkgen_regs, how do the register instances in its CDFG compare with the RTL description, which has no always blocks, and does the RTL-to-netlist signal mapping show that all of its signals survived?", "answer": "In the CDFG of sirv_hclkgen_regs there are 8 sirv_gnrl_dfflrs and 11 sirv_gnrl_dfflr register nodes, while the RTL has 0 always blocks and 17 assign statements, so all state lives in instantiated flop cells and not in procedural code. The mapping matched all 26 RTL signals with 0 unmapped, an alignment score of 100.0 across 166 netlist wires.", "source_file": "github_repos/riscv-mcu_e203_hbirdv2/rtl/e203/perips/sirv_hclkgen_regs.v", "module_name": "sirv_hclkgen_regs", "tool_name": "cross_stage_mapper+graph_extractor+static_analyzer", "tool_parameters": [{}, {"graph_type": "CDFG"}, {"analysis_type": "full"}], "tool_result": "[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"icb_wr_en\": [\n \"icb_wr_en_pllcfg\",\n \"icb_wr_en\",\n \"icb_wr_en_hfxosccfg\",\n \"icb_wr_en_plloutdiv\"\n ],\n \"pll_RESET\": [\n \"pll_RESET\"\n ],\n \"clk\": [\n \"clk\"\n ],\n \"pll_M\": [\n \"pll_M\n...[943 chars elided]...\nen_pllcfg\": [\n \"icb_wr_en_pllcfg\"\n ],\n \"hfxoscen\": [\n \"hfxoscen\",\n \"hfxoscen_ena\"\n ],\n \"plloutdiv_ena\": [\n \"plloutdiv_ena\"\n ],\n \"sel_plloutdiv\": [\n \"sel_plloutdiv\"\n ],\n \"pllbypass\": [\n \"pllbypass\"\n ],\n \"sel_pllcfg\": [\n \"sel_pllcfg\"\n ],\n \"pll_OD\": [\n \"pll_OD\"\n ]\n },\n \"alignment_score\": 100.0,\n \"unmapped_elements\": [],\n \"mapping_statistics\": {\n \"rtl_signals\": 26,\n \"netlist_wires\": 166,\n \"netlist_cells\": 0,\n \"mapped_signals\": 26,\n \"unmapped_signals\": 0\n },\n \"error\": null\n}\n\n[graph_extractor {\"graph_type\": \"CDFG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"CDFG\",\n...[34973 chars elided]...\n \"node_count\": 52,\n \"edge_count\": 681,\n \"graph_properties\": {\n \"node_types\": {\n \"$and\": 8,\n \"$not\": 1,\n \"$eq\": 3,\n \"$or\": 2,\n \"sirv_gnrl_dfflrs\": 8,\n \"sirv_gnrl_dfflr\": 11,\n \"port_input\": 7,\n \"port_output\": 12\n },\n \"avg_degree\": 13.1,\n \"module_name\": \"sirv_hclkgen_regs\"\n },\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"sirv_hclkgen_regs\",\n \"port_count\": {\n \"inputs\": 5,\n \"outputs\": 11,\n \"inouts\": 0,\n \"total\": 16\n },\n \"signal_count\": {\n \"wires\": 10,\n \"regs\": 0,\n \"parameters\": 0,\n \"total\": 10\n },\n \"always_blocks\": 0,\n \"assign_statements\": 17,\n \"instantiations\": [],\n \"code_complexity\": {\n \"lines_of_code\": 87,\n \"total_lines\": 142,\n \"cyclomatic_complexity\": 3,\n \"nesting_depth\": 0,\n \"operator_count\": 519\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "category": "multi_tool", "subcategory": "cross_stage_mapper+graph_extractor+static_analyzer", "difficulty": "compositional", "question_hash": "3d18937736ca", "stage1_target": "[{\"tool\": \"cross_stage_mapper\", \"parameters\": {}}, {\"tool\": \"graph_extractor\", \"parameters\": {\"graph_type\": \"CDFG\"}}, {\"tool\": \"static_analyzer\", \"parameters\": {\"analysis_type\": \"full\"}}]", "stage2_context": "Question: For sirv_hclkgen_regs, how do the register instances in its CDFG compare with the RTL description, which has no always blocks, and does the RTL-to-netlist signal mapping show that all of its signals survived?\n\n[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"icb_wr_en\": [\n \"icb_wr_en_pllcfg\",\n \"icb_wr_en\",\n \"icb_wr_en_hfxosccfg\",\n \"icb_wr_en_plloutdiv\"\n ],\n \"pll_RESET\": [\n \"pll_RESET\"\n ],\n \"clk\": [\n \"clk\"\n ],\n \"pll_M\": [\n \"pll_M\n...[943 chars elided]...\nen_pllcfg\": [\n \"icb_wr_en_pllcfg\"\n ],\n \"hfxoscen\": [\n \"hfxoscen\",\n \"hfxoscen_ena\"\n ],\n \"plloutdiv_ena\": [\n \"plloutdiv_ena\"\n ],\n \"sel_plloutdiv\": [\n \"sel_plloutdiv\"\n ],\n \"pllbypass\": [\n \"pllbypass\"\n ],\n \"sel_pllcfg\": [\n \"sel_pllcfg\"\n ],\n \"pll_OD\": [\n \"pll_OD\"\n ]\n },\n \"alignment_score\": 100.0,\n \"unmapped_elements\": [],\n \"mapping_statistics\": {\n \"rtl_signals\": 26,\n \"netlist_wires\": 166,\n \"netlist_cells\": 0,\n \"mapped_signals\": 26,\n \"unmapped_signals\": 0\n },\n \"error\": null\n}\n\n[graph_extractor {\"graph_type\": \"CDFG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"CDFG\",\n...[34973 chars elided]...\n \"node_count\": 52,\n \"edge_count\": 681,\n \"graph_properties\": {\n \"node_types\": {\n \"$and\": 8,\n \"$not\": 1,\n \"$eq\": 3,\n \"$or\": 2,\n \"sirv_gnrl_dfflrs\": 8,\n \"sirv_gnrl_dfflr\": 11,\n \"port_input\": 7,\n \"port_output\": 12\n },\n \"avg_degree\": 13.1,\n \"module_name\": \"sirv_hclkgen_regs\"\n },\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"sirv_hclkgen_regs\",\n \"port_count\": {\n \"inputs\": 5,\n \"outputs\": 11,\n \"inouts\": 0,\n \"total\": 16\n },\n \"signal_count\": {\n \"wires\": 10,\n \"regs\": 0,\n \"parameters\": 0,\n \"total\": 10\n },\n \"always_blocks\": 0,\n \"assign_statements\": 17,\n \"instantiations\": [],\n \"code_complexity\": {\n \"lines_of_code\": 87,\n \"total_lines\": 142,\n \"cyclomatic_complexity\": 3,\n \"nesting_depth\": 0,\n \"operator_count\": 519\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "plan_id": "be0d5149fc52", "design_id": "c9259114f428", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 3, "ctx_cap": 3300, "source": {"repository": "https://github.com/riscv-mcu/e203_hbirdv2", "commit": "9f3e34f337f5d0a1236a285871ffa2032491617a", "path": "rtl/e203/perips/sirv_hclkgen_regs.v", "sha256": "4da8c7eab7218ca7c401e76b3fab5f4ff69c5d74527fa57fc92d61b0b32c0f94"}} {"question": "For sirv_hclkgen_regs, a power-targeted optimization suggests inserting clock gating on the registers. The RTL has no always blocks and no reg declarations, yet the synthesized netlist contains flip-flop cells. Can you explain where those flops come from, and say whether clock gating is still worth trying given the estimated power and area changes and the current synthesized power?", "answer": "sirv_hclkgen_regs has 0 always blocks and 0 regs, with 17 assign statements. Its 11 sirv_gnrl_dfflr and 8 sirv_gnrl_dfflrs flops therefore come from instantiated library register cells, not from inferred registers. Because those flops already have load enables, clock gating could plausibly reach the estimated -25.0 power change from the current 0.073 power, at a cost of about 5.0 extra area and added timing complexity.", "source_file": "github_repos/riscv-mcu_e203_hbirdv2/rtl/e203/perips/sirv_hclkgen_regs.v", "module_name": "sirv_hclkgen_regs", "tool_name": "optimization_advisor+static_analyzer+synthesis_tool", "tool_parameters": [{"target_metric": "power"}, {"analysis_type": "full"}, {"optimization_level": "medium"}], "tool_result": "[optimization_advisor {\"target_metric\": \"power\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"power\",\n \"recommended_recipes\": [\n \"synth -top sirv_hclkgen_regs\",\n \"opt; share; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean; clockgate\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"clock_gating\",\n \"description\": \"Insert clock gating for registers\",\n \"command\": \"clockgate\"\n },\n {\n \"type\": \"operand_isolation\",\n \"description\": \"Isolate operands when not in use\",\n \"command\": \"Use enable signals for arithmetic\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": 5.0,\n \"delay\": 5.0,\n \"power\": -25.0\n },\n \"trade_offs\": [\n \"Power optimization may add area overhead\",\n \"Clock gating adds timing complexity\"\n ],\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"sirv_hclkgen_regs\",\n \"port_count\": {\n \"inputs\": 5,\n \"outputs\": 11,\n \"inouts\": 0,\n \"total\": 16\n },\n \"signal_count\": {\n \"wires\": 10,\n \"regs\": 0,\n \"parameters\": 0,\n \"total\": 10\n },\n \"always_blocks\": 0,\n \"assign_statements\": 17,\n \"instantiations\": [],\n \"code_complexity\": {\n \"lines_of_code\": 87,\n \"total_lines\": 142,\n \"cyclomatic_complexity\": 3,\n \"nesting_depth\": 0,\n \"operator_count\": 519\n },\n \"lint_warnings\": [],\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 74.5,\n \"delay\": 168.22,\n \"power\": 0.073,\n \"gate_count\": 73,\n \"cell_breakdown\": {\n \"$_ANDNOT_\": 3,\n \"$_AND_\": 22,\n \"$_NAND_\": 24,\n \"$_NOR_\": 5,\n \"sirv_gnrl_dfflr\": 11,\n \"sirv_gnrl_dfflrs\": 8\n },\n \"wire_count\": 62,\n \"wire_bits\":\n...[1659 chars elided]...\n \"error\": null\n}", "category": "multi_tool", "subcategory": "optimization_advisor+static_analyzer+synthesis_tool", "difficulty": "compositional", "question_hash": "3eceee518c2e", "stage1_target": "[{\"tool\": \"optimization_advisor\", \"parameters\": {\"target_metric\": \"power\"}}, {\"tool\": \"static_analyzer\", \"parameters\": {\"analysis_type\": \"full\"}}, {\"tool\": \"synthesis_tool\", \"parameters\": {\"optimization_level\": \"medium\"}}]", "stage2_context": "Question: For sirv_hclkgen_regs, a power-targeted optimization suggests inserting clock gating on the registers. The RTL has no always blocks and no reg declarations, yet the synthesized netlist contains flip-flop cells. Can you explain where those flops come from, and say whether clock gating is still worth trying given the estimated power and area changes and the current synthesized power?\n\n[optimization_advisor {\"target_metric\": \"power\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"power\",\n \"recommended_recipes\": [\n \"synth -top sirv_hclkgen_regs\",\n \"opt; share; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean; clockgate\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"clock_gating\",\n \"description\": \"Insert clock gating for registers\",\n \"command\": \"clockgate\"\n },\n {\n \"type\": \"operand_isolation\",\n \"description\": \"Isolate operands when not in use\",\n \"command\": \"Use enable signals for arithmetic\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": 5.0,\n \"delay\": 5.0,\n \"power\": -25.0\n },\n \"trade_offs\": [\n \"Power optimization may add area overhead\",\n \"Clock gating adds timing complexity\"\n ],\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"sirv_hclkgen_regs\",\n \"port_count\": {\n \"inputs\": 5,\n \"outputs\": 11,\n \"inouts\": 0,\n \"total\": 16\n },\n \"signal_count\": {\n \"wires\": 10,\n \"regs\": 0,\n \"parameters\": 0,\n \"total\": 10\n },\n \"always_blocks\": 0,\n \"assign_statements\": 17,\n \"instantiations\": [],\n \"code_complexity\": {\n \"lines_of_code\": 87,\n \"total_lines\": 142,\n \"cyclomatic_complexity\": 3,\n \"nesting_depth\": 0,\n \"operator_count\": 519\n },\n \"lint_warnings\": [],\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 74.5,\n \"delay\": 168.22,\n \"power\": 0.073,\n \"gate_count\": 73,\n \"cell_breakdown\": {\n \"$_ANDNOT_\": 3,\n \"$_AND_\": 22,\n \"$_NAND_\": 24,\n \"$_NOR_\": 5,\n \"sirv_gnrl_dfflr\": 11,\n \"sirv_gnrl_dfflrs\": 8\n },\n \"wire_count\": 62,\n \"wire_bits\":\n...[1659 chars elided]...\n \"error\": null\n}", "plan_id": "537bef009463", "design_id": "c9259114f428", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 3, "ctx_cap": 3300, "source": {"repository": "https://github.com/riscv-mcu/e203_hbirdv2", "commit": "9f3e34f337f5d0a1236a285871ffa2032491617a", "path": "rtl/e203/perips/sirv_hclkgen_regs.v", "sha256": "4da8c7eab7218ca7c401e76b3fab5f4ff69c5d74527fa57fc92d61b0b32c0f94"}} {"question": "For servile_arbiter, how well do the RTL signals line up with the synthesized netlist, and how does that compare with the size and makeup of its CDFG? In particular, which RTL element doesn't map, and how many logic nodes does the CDFG contain apart from the port nodes?", "answer": "In servile_arbiter, 18 of the 19 RTL signals map to the netlist, which gives an alignment score of 94.74; the only unmapped element is \"wire\", and the netlist has 187 wires. The CDFG has 24 nodes and 111 edges. Apart from the 9 input-port and 9 output-port nodes, its logic is 3 $and nodes plus 1 $mux, 1 $logic_not and 1 $or node.", "source_file": "github_repos/olofk_serv/servile/servile_arbiter.v", "module_name": "servile_arbiter", "tool_name": "cross_stage_mapper+graph_extractor", "tool_parameters": [{}, {"graph_type": "CDFG"}], "tool_result": "[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"i_wb_cpu_ibus_stb\": [\n \"i_wb_cpu_ibus_stb\"\n ],\n \"wire\": [],\n \"i_wb_mem_ack\": [\n \"i_wb_mem_ack\"\n ],\n \"o_wb_cpu_dbus_ack\": [\n \"o_wb_cpu_dbus_ack\"\n ],\n \"i_wb_cpu_dbus_we\": [\n \"i_wb_cpu_dbus_we\"\n ],\n \"o_wb_mem_dat\": [\n \"o_wb_mem_dat\"\n ],\n \"i_wb_cpu_ibus_adr\": [\n \"i_wb_cpu_ibus_adr\"\n ],\n \"o_wb_cpu_dbus_rdt\": [\n\n...[13 chars elided]...\npu_dbus_rdt\"\n ],\n \"i_wb_cpu_dbus_dat\": [\n \"i_wb_cpu_dbus_dat\"\n ],\n \"o_wb_mem_adr\": [\n \"o_wb_mem_adr\"\n ],\n \"i_wb_cpu_dbus_sel\": [\n \"i_wb_cpu_dbus_sel\"\n ],\n \"o_wb_cpu_ibus_rdt\": [\n \"o_wb_cpu_ibus_rdt\"\n ],\n \"o_wb_mem_sel\": [\n \"o_wb_mem_sel\"\n ],\n \"i_wb_mem_rdt\": [\n \"i_wb_mem_rdt\"\n ],\n \"o_wb_mem_we\": [\n \"o_wb_mem_we\"\n ],\n \"i_wb_cpu_dbus_stb\": [\n \"i_wb_cpu_dbus_stb\"\n ],\n \"o_wb_mem_stb\": [\n \"o_wb_mem_stb\"\n ],\n \"o_wb_cpu_ibus_ack\": [\n \"o_wb_cpu_ibus_ack\"\n ],\n \"i_wb_cpu_dbus_adr\": [\n \"i_wb_cpu_dbus_adr\"\n ]\n },\n \"alignment_score\": 94.74,\n \"unmapped_elements\": [\n \"wire\"\n ],\n \"mapping_statistics\": {\n \"rtl_signals\": 19,\n \"netlist_wires\": 187,\n \"netlist_cells\": 0,\n \"mapped_signals\": 18,\n \"unmapped_signals\": 1\n },\n \"error\": null\n}\n\n[graph_extractor {\"graph_type\": \"CDFG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"CDFG\",\n...[18263 chars elided]...\n \"node_count\": 24,\n \"edge_count\": 111,\n \"graph_properties\": {\n \"node_types\": {\n \"$and\": 3,\n \"$mux\": 1,\n \"$logic_not\": 1,\n \"$or\": 1,\n \"port_input\": 9,\n \"port_output\": 9\n },\n \"avg_degree\": 4.62,\n \"module_name\": \"servile_arbiter\"\n },\n \"error\": null\n}", "category": "multi_tool", "subcategory": "cross_stage_mapper+graph_extractor", "difficulty": "compositional", "question_hash": "c7714529341f", "stage1_target": "[{\"tool\": \"cross_stage_mapper\", \"parameters\": {}}, {\"tool\": \"graph_extractor\", \"parameters\": {\"graph_type\": \"CDFG\"}}]", "stage2_context": "Question: For servile_arbiter, how well do the RTL signals line up with the synthesized netlist, and how does that compare with the size and makeup of its CDFG? In particular, which RTL element doesn't map, and how many logic nodes does the CDFG contain apart from the port nodes?\n\n[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"i_wb_cpu_ibus_stb\": [\n \"i_wb_cpu_ibus_stb\"\n ],\n \"wire\": [],\n \"i_wb_mem_ack\": [\n \"i_wb_mem_ack\"\n ],\n \"o_wb_cpu_dbus_ack\": [\n \"o_wb_cpu_dbus_ack\"\n ],\n \"i_wb_cpu_dbus_we\": [\n \"i_wb_cpu_dbus_we\"\n ],\n \"o_wb_mem_dat\": [\n \"o_wb_mem_dat\"\n ],\n \"i_wb_cpu_ibus_adr\": [\n \"i_wb_cpu_ibus_adr\"\n ],\n \"o_wb_cpu_dbus_rdt\": [\n\n...[13 chars elided]...\npu_dbus_rdt\"\n ],\n \"i_wb_cpu_dbus_dat\": [\n \"i_wb_cpu_dbus_dat\"\n ],\n \"o_wb_mem_adr\": [\n \"o_wb_mem_adr\"\n ],\n \"i_wb_cpu_dbus_sel\": [\n \"i_wb_cpu_dbus_sel\"\n ],\n \"o_wb_cpu_ibus_rdt\": [\n \"o_wb_cpu_ibus_rdt\"\n ],\n \"o_wb_mem_sel\": [\n \"o_wb_mem_sel\"\n ],\n \"i_wb_mem_rdt\": [\n \"i_wb_mem_rdt\"\n ],\n \"o_wb_mem_we\": [\n \"o_wb_mem_we\"\n ],\n \"i_wb_cpu_dbus_stb\": [\n \"i_wb_cpu_dbus_stb\"\n ],\n \"o_wb_mem_stb\": [\n \"o_wb_mem_stb\"\n ],\n \"o_wb_cpu_ibus_ack\": [\n \"o_wb_cpu_ibus_ack\"\n ],\n \"i_wb_cpu_dbus_adr\": [\n \"i_wb_cpu_dbus_adr\"\n ]\n },\n \"alignment_score\": 94.74,\n \"unmapped_elements\": [\n \"wire\"\n ],\n \"mapping_statistics\": {\n \"rtl_signals\": 19,\n \"netlist_wires\": 187,\n \"netlist_cells\": 0,\n \"mapped_signals\": 18,\n \"unmapped_signals\": 1\n },\n \"error\": null\n}\n\n[graph_extractor {\"graph_type\": \"CDFG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"CDFG\",\n...[18263 chars elided]...\n \"node_count\": 24,\n \"edge_count\": 111,\n \"graph_properties\": {\n \"node_types\": {\n \"$and\": 3,\n \"$mux\": 1,\n \"$logic_not\": 1,\n \"$or\": 1,\n \"port_input\": 9,\n \"port_output\": 9\n },\n \"avg_degree\": 4.62,\n \"module_name\": \"servile_arbiter\"\n },\n \"error\": null\n}", "plan_id": "3668f5c76000", "design_id": "ccc84f3ac2f9", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/olofk/serv", "commit": "f200eb2ed7b69ac1c6b8eddd47654522aeee5ce8", "path": "servile/servile_arbiter.v", "sha256": "69d57d934956fdfa83cb02a24642ecd8b7a28bfa7786c3f515d68d4d07dd5507"}} {"question": "For tcm_mem_ram, how many RTL signals have no match in the gate-level netlist, and if I apply the suggested delay-focused optimization flow, what delay and area changes should I expect? Could the unmapped RAM state make it harder to verify those changes?", "answer": "tcm_mem_ram has an alignment score of 57.14, with 3 unmapped signals (ram, ram_read0_q and ram_read1_q) out of 7 RTL signals, while the netlist has 514 wires and 0 cells. The delay-focused flow (synth, opt -fast, abc -fast, opt_clean, plus retiming and splitnets -driver) estimates a delay change of -20.0 against an area increase of 10.0 and power of 5.0. Because the RAM array and both read registers can't be traced into the netlist, checking the speed gains against the area cost on that storage logic would be hard.", "source_file": "github_repos/ultraembedded_riscv/top_tcm_axi/src_v/tcm_mem_ram.v", "module_name": "tcm_mem_ram", "tool_name": "cross_stage_mapper+optimization_advisor", "tool_parameters": [{}, {"target_metric": "delay"}], "tool_result": "[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"rst0_i\": [\n \"rst0_i\"\n ],\n \"rst1_i\": [\n \"rst1_i\"\n ],\n \"clk1_i\": [\n \"clk1_i\"\n ],\n \"ram_read0_q\": [],\n \"clk0_i\": [\n \"clk0_i\"\n ],\n \"ram\": [],\n \"ram_read1_q\": []\n },\n \"alignment_score\": 57.14,\n \"unmapped_elements\": [\n \"ram_read0_q\",\n \"ram\",\n \"ram_read1_q\"\n ],\n \"mapping_statistics\": {\n \"rtl_signals\": 7,\n \"netlist_wires\": 514,\n \"netlist_cells\": 0,\n \"mapped_signals\": 4,\n \"unmapped_signals\": 3\n },\n \"error\": null\n}\n\n[optimization_advisor {\"target_metric\": \"delay\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"delay\",\n \"recommended_recipes\": [\n \"synth -top tcm_mem_ram\",\n \"opt -fast\",\n \"abc -fast -liberty stdcells.lib\",\n \"opt_clean\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"pipeline_insertion\",\n \"description\": \"Consider pipelining arithmetic operations\",\n \"command\": \"Use register retiming\"\n },\n {\n \"type\": \"logic_duplication\",\n \"description\": \"Duplicate logic to reduce fanout\",\n \"command\": \"splitnets -driver\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": 10.0,\n \"delay\": -20.0,\n \"power\": 5.0\n },\n \"trade_offs\": [\n \"Speed optimization increases area\",\n \"Higher power consumption\"\n ],\n \"error\": null\n}", "category": "multi_tool", "subcategory": "cross_stage_mapper+optimization_advisor", "difficulty": "compositional", "question_hash": "cb3472dec141", "stage1_target": "[{\"tool\": \"cross_stage_mapper\", \"parameters\": {}}, {\"tool\": \"optimization_advisor\", \"parameters\": {\"target_metric\": \"delay\"}}]", "stage2_context": "Question: For tcm_mem_ram, how many RTL signals have no match in the gate-level netlist, and if I apply the suggested delay-focused optimization flow, what delay and area changes should I expect? Could the unmapped RAM state make it harder to verify those changes?\n\n[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"rst0_i\": [\n \"rst0_i\"\n ],\n \"rst1_i\": [\n \"rst1_i\"\n ],\n \"clk1_i\": [\n \"clk1_i\"\n ],\n \"ram_read0_q\": [],\n \"clk0_i\": [\n \"clk0_i\"\n ],\n \"ram\": [],\n \"ram_read1_q\": []\n },\n \"alignment_score\": 57.14,\n \"unmapped_elements\": [\n \"ram_read0_q\",\n \"ram\",\n \"ram_read1_q\"\n ],\n \"mapping_statistics\": {\n \"rtl_signals\": 7,\n \"netlist_wires\": 514,\n \"netlist_cells\": 0,\n \"mapped_signals\": 4,\n \"unmapped_signals\": 3\n },\n \"error\": null\n}\n\n[optimization_advisor {\"target_metric\": \"delay\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"delay\",\n \"recommended_recipes\": [\n \"synth -top tcm_mem_ram\",\n \"opt -fast\",\n \"abc -fast -liberty stdcells.lib\",\n \"opt_clean\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"pipeline_insertion\",\n \"description\": \"Consider pipelining arithmetic operations\",\n \"command\": \"Use register retiming\"\n },\n {\n \"type\": \"logic_duplication\",\n \"description\": \"Duplicate logic to reduce fanout\",\n \"command\": \"splitnets -driver\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": 10.0,\n \"delay\": -20.0,\n \"power\": 5.0\n },\n \"trade_offs\": [\n \"Speed optimization increases area\",\n \"Higher power consumption\"\n ],\n \"error\": null\n}", "plan_id": "cbd0acf36892", "design_id": "cb868f1ab740", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/ultraembedded/riscv", "commit": "7ae6f803e30f78c6ea3121e73c3adf50ff912730", "path": "top_tcm_axi/src_v/tcm_mem_ram.v", "sha256": "17df5fcb4b68d20cad6987779a72b884161235e66791d1e46d0fee893e021a62"}} {"question": "For NV_NVDLA_PDP_rdma, how closely does the RTL line up with the synthesized netlist, and given the hierarchy synthesis keeps at medium optimization, what explains the single unmapped element?", "answer": "NV_NVDLA_PDP_rdma has an RTL-to-netlist alignment score of 98.41, with 62 of its 63 RTL signals mapped and only \"u_reg\" left unmapped. That fits the medium-optimization synthesis result: the top level stays a wrapper of 5 submodule instances (including one NV_NVDLA_PDP_RDMA_reg) joined by 62 wires and 1792 wire bits, with a critical path estimate of 81.03. So the unmapped element is the register-block instance, not a lost signal.", "source_file": "github_repos/nvdla_hw/vmod/nvdla/pdp/NV_NVDLA_PDP_rdma.v", "module_name": "NV_NVDLA_PDP_rdma", "tool_name": "cross_stage_mapper+synthesis_tool", "tool_parameters": [{}, {"optimization_level": "medium"}], "tool_result": "[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"pdp_rdma2csb_resp_pd\": [\n \"pdp_rdma2csb_resp_pd\"\n ],\n \"mcif2pdp_rd_rsp_valid\": [\n \"mcif2pdp_rd_rsp_valid\"\n ],\n \"reg2dp_cube_in_channel\": [\n \"reg2dp_cube_in_channel\"\n ],\n \"dla_clk_ovr_on_sync\": [\n \"dla_clk_ovr_on_sync\"\n ],\n \"pdp2mcif_rd_req_pd\": [\n \"pdp2mcif_rd_req_pd\"\n ],\n \"reg2dp_cya\": [\n \"reg2dp_cya\"\n ],\n \"\n...[2932 chars elided]...\npdp_rd_rsp_valid\": [\n \"cvif2pdp_rd_rsp_valid\"\n ],\n \"rdma2wdma_done\": [\n \"rdma2wdma_done\"\n ],\n \"reg2dp_split_num\": [\n \"reg2dp_split_num\"\n ],\n \"ig2cq_prdy\": [\n \"ig2cq_prdy\"\n ],\n \"pdp2cvif_rd_req_valid\": [\n \"pdp2cvif_rd_req_valid\"\n ],\n \"cq2eg_prdy\": [\n \"cq2eg_prdy\"\n ],\n \"ig2cq_pvld\": [\n \"ig2cq_pvld\"\n ],\n \"reg2dp_cube_in_width\": [\n \"reg2dp_cube_in_width\"\n ],\n \"ig2cq_pd\": [\n \"ig2cq_pd\"\n ],\n \"dp2reg_d0_perf_read_stall\": [\n \"dp2reg_d0_perf_read_stall\"\n ],\n \"csb2pdp_rdma_req_pvld\": [\n \"csb2pdp_rdma_req_pvld\"\n ]\n },\n \"alignment_score\": 98.41,\n \"unmapped_elements\": [\n \"u_reg\"\n ],\n \"mapping_statistics\": {\n \"rtl_signals\": 63,\n \"netlist_wires\": 62,\n \"netlist_cells\": 0,\n \"mapped_signals\": 62,\n \"unmapped_signals\": 1\n },\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 5.0,\n \"delay\": 81.03,\n \"power\": 0.005,\n \"gate_count\": 5,\n \"cell_breakdown\": {\n \"NV_NVDLA_PDP_RDMA_cq\": 1,\n \"NV_NVDLA_PDP_RDMA_eg\": 1,\n \"NV_NVDLA_PDP_RDMA_ig\": 1,\n \"NV_NVDLA_PDP_RDMA_reg\": 1,\n \"NV_NVDLA_PDP_slcg\": 1\n },\n \"wire_count\": 62,\n \"wire_bits\": 1792,\n \"critical_path_estimate\": 81.03,\n...[1223 chars elided]...\n \"error\": null\n}", "category": "multi_tool", "subcategory": "cross_stage_mapper+synthesis_tool", "difficulty": "compositional", "question_hash": "5400ae91a41a", "stage1_target": "[{\"tool\": \"cross_stage_mapper\", \"parameters\": {}}, {\"tool\": \"synthesis_tool\", \"parameters\": {\"optimization_level\": \"medium\"}}]", "stage2_context": "Question: For NV_NVDLA_PDP_rdma, how closely does the RTL line up with the synthesized netlist, and given the hierarchy synthesis keeps at medium optimization, what explains the single unmapped element?\n\n[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"pdp_rdma2csb_resp_pd\": [\n \"pdp_rdma2csb_resp_pd\"\n ],\n \"mcif2pdp_rd_rsp_valid\": [\n \"mcif2pdp_rd_rsp_valid\"\n ],\n \"reg2dp_cube_in_channel\": [\n \"reg2dp_cube_in_channel\"\n ],\n \"dla_clk_ovr_on_sync\": [\n \"dla_clk_ovr_on_sync\"\n ],\n \"pdp2mcif_rd_req_pd\": [\n \"pdp2mcif_rd_req_pd\"\n ],\n \"reg2dp_cya\": [\n \"reg2dp_cya\"\n ],\n \"\n...[2932 chars elided]...\npdp_rd_rsp_valid\": [\n \"cvif2pdp_rd_rsp_valid\"\n ],\n \"rdma2wdma_done\": [\n \"rdma2wdma_done\"\n ],\n \"reg2dp_split_num\": [\n \"reg2dp_split_num\"\n ],\n \"ig2cq_prdy\": [\n \"ig2cq_prdy\"\n ],\n \"pdp2cvif_rd_req_valid\": [\n \"pdp2cvif_rd_req_valid\"\n ],\n \"cq2eg_prdy\": [\n \"cq2eg_prdy\"\n ],\n \"ig2cq_pvld\": [\n \"ig2cq_pvld\"\n ],\n \"reg2dp_cube_in_width\": [\n \"reg2dp_cube_in_width\"\n ],\n \"ig2cq_pd\": [\n \"ig2cq_pd\"\n ],\n \"dp2reg_d0_perf_read_stall\": [\n \"dp2reg_d0_perf_read_stall\"\n ],\n \"csb2pdp_rdma_req_pvld\": [\n \"csb2pdp_rdma_req_pvld\"\n ]\n },\n \"alignment_score\": 98.41,\n \"unmapped_elements\": [\n \"u_reg\"\n ],\n \"mapping_statistics\": {\n \"rtl_signals\": 63,\n \"netlist_wires\": 62,\n \"netlist_cells\": 0,\n \"mapped_signals\": 62,\n \"unmapped_signals\": 1\n },\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 5.0,\n \"delay\": 81.03,\n \"power\": 0.005,\n \"gate_count\": 5,\n \"cell_breakdown\": {\n \"NV_NVDLA_PDP_RDMA_cq\": 1,\n \"NV_NVDLA_PDP_RDMA_eg\": 1,\n \"NV_NVDLA_PDP_RDMA_ig\": 1,\n \"NV_NVDLA_PDP_RDMA_reg\": 1,\n \"NV_NVDLA_PDP_slcg\": 1\n },\n \"wire_count\": 62,\n \"wire_bits\": 1792,\n \"critical_path_estimate\": 81.03,\n...[1223 chars elided]...\n \"error\": null\n}", "plan_id": "52375590f35c", "design_id": "cdce3454266d", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/nvdla/hw", "commit": "8e06b1b9d85aab65b40d43d08eec5ea4681ff715", "path": "vmod/nvdla/pdp/NV_NVDLA_PDP_rdma.v", "sha256": "3e4c905107e620640763bbaa135c7026d85c8cbced12f7fbda57ec20321c3244"}} {"question": "For NV_NVDLA_PDP_REG_single, how well does the RTL line up with the gate-level netlist, and does that affect whether it's worth following the power-targeted optimization advice? I'm thinking specifically of the suggested clock gating and what it is expected to save.", "answer": "NV_NVDLA_PDP_REG_single has an RTL-to-netlist alignment score of 75.0, with 15 of its 20 RTL signals mapped and 5 unmapped (such as producer and nvdla_pdp_s_status_0_wren). The power-targeted plan ends with an \"opt_clean; clockgate\" step and estimates a -25.0 change in power, at the cost of 5.0 in area and 5.0 in delay. Because some write-enable logic doesn't map cleanly, the gated registers should be checked against the netlist after clock gating is added.", "source_file": "github_repos/nvdla_hw/vmod/nvdla/pdp/NV_NVDLA_PDP_REG_single.v", "module_name": "NV_NVDLA_PDP_REG_single", "tool_name": "cross_stage_mapper+optimization_advisor", "tool_parameters": [{}, {"target_metric": "power"}], "tool_result": "[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"arreggen_dump\": [],\n \"nvdla_pdp_s_status_0_out\": [\n \"nvdla_pdp_s_status_0_out\"\n ],\n \"wr\": [\n \"nvdla_pdp_s_pointer_0_wren\",\n \"reg_offset_wr\",\n \"reg_wr_en\",\n \"reg_wr_data\"\n ],\n \"arreggen_abort_on_rowr\": [],\n \"arreggen_abort_on_invalid_wr\": [],\n \"nvdla_core_clk\": [\n \"nvdla_core_clk\"\n ],\n \"status_0\": [\n \"nvdla_pdp_s_\n...[233 chars elided]...\nreg_wr_data\"\n ],\n \"nvdla_core_rstn\": [\n \"nvdla_core_rstn\"\n ],\n \"reg_offset_wr\": [\n \"reg_offset_wr\"\n ],\n \"consumer\": [\n \"consumer\"\n ],\n \"producer\": [],\n \"reg_offset_rd_int\": [\n \"reg_offset_rd_int\"\n ],\n \"nvdla_pdp_s_status_0_wren\": [],\n \"reg_wr_en\": [\n \"reg_wr_en\"\n ],\n \"nvdla_pdp_s_pointer_0_wren\": [\n \"nvdla_pdp_s_pointer_0_wren\"\n ],\n \"reg_offset\": [\n \"reg_offset\",\n \"reg_offset_wr\",\n \"reg_offset_rd_int\"\n ]\n },\n \"alignment_score\": 75.0,\n \"unmapped_elements\": [\n \"arreggen_dump\",\n \"arreggen_abort_on_rowr\",\n \"arreggen_abort_on_invalid_wr\",\n \"producer\",\n \"nvdla_pdp_s_status_0_wren\"\n ],\n \"mapping_statistics\": {\n \"rtl_signals\": 20,\n \"netlist_wires\": 191,\n \"netlist_cells\": 0,\n \"mapped_signals\": 15,\n \"unmapped_signals\": 5\n },\n \"error\": null\n}\n\n[optimization_advisor {\"target_metric\": \"power\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"power\",\n \"recommended_recipes\": [\n \"synth -top NV_NVDLA_PDP_REG_single\",\n \"opt; share; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean; clockgate\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"clock_gating\",\n \"description\": \"Insert clock gating for registers\",\n \"command\": \"clockgate\"\n },\n {\n \"type\": \"operand_isolation\",\n \"description\": \"Isolate operands when not in use\",\n \"command\": \"Use enable signals for arithmetic\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": 5.0,\n \"delay\": 5.0,\n \"power\": -25.0\n },\n \"trade_offs\": [\n \"Power optimization may add area overhead\",\n \"Clock gating adds timing complexity\"\n ],\n \"error\": null\n}", "category": "multi_tool", "subcategory": "cross_stage_mapper+optimization_advisor", "difficulty": "compositional", "question_hash": "61fc4ea15d17", "stage1_target": "[{\"tool\": \"cross_stage_mapper\", \"parameters\": {}}, {\"tool\": \"optimization_advisor\", \"parameters\": {\"target_metric\": \"power\"}}]", "stage2_context": "Question: For NV_NVDLA_PDP_REG_single, how well does the RTL line up with the gate-level netlist, and does that affect whether it's worth following the power-targeted optimization advice? I'm thinking specifically of the suggested clock gating and what it is expected to save.\n\n[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"arreggen_dump\": [],\n \"nvdla_pdp_s_status_0_out\": [\n \"nvdla_pdp_s_status_0_out\"\n ],\n \"wr\": [\n \"nvdla_pdp_s_pointer_0_wren\",\n \"reg_offset_wr\",\n \"reg_wr_en\",\n \"reg_wr_data\"\n ],\n \"arreggen_abort_on_rowr\": [],\n \"arreggen_abort_on_invalid_wr\": [],\n \"nvdla_core_clk\": [\n \"nvdla_core_clk\"\n ],\n \"status_0\": [\n \"nvdla_pdp_s_\n...[233 chars elided]...\nreg_wr_data\"\n ],\n \"nvdla_core_rstn\": [\n \"nvdla_core_rstn\"\n ],\n \"reg_offset_wr\": [\n \"reg_offset_wr\"\n ],\n \"consumer\": [\n \"consumer\"\n ],\n \"producer\": [],\n \"reg_offset_rd_int\": [\n \"reg_offset_rd_int\"\n ],\n \"nvdla_pdp_s_status_0_wren\": [],\n \"reg_wr_en\": [\n \"reg_wr_en\"\n ],\n \"nvdla_pdp_s_pointer_0_wren\": [\n \"nvdla_pdp_s_pointer_0_wren\"\n ],\n \"reg_offset\": [\n \"reg_offset\",\n \"reg_offset_wr\",\n \"reg_offset_rd_int\"\n ]\n },\n \"alignment_score\": 75.0,\n \"unmapped_elements\": [\n \"arreggen_dump\",\n \"arreggen_abort_on_rowr\",\n \"arreggen_abort_on_invalid_wr\",\n \"producer\",\n \"nvdla_pdp_s_status_0_wren\"\n ],\n \"mapping_statistics\": {\n \"rtl_signals\": 20,\n \"netlist_wires\": 191,\n \"netlist_cells\": 0,\n \"mapped_signals\": 15,\n \"unmapped_signals\": 5\n },\n \"error\": null\n}\n\n[optimization_advisor {\"target_metric\": \"power\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"power\",\n \"recommended_recipes\": [\n \"synth -top NV_NVDLA_PDP_REG_single\",\n \"opt; share; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean; clockgate\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"clock_gating\",\n \"description\": \"Insert clock gating for registers\",\n \"command\": \"clockgate\"\n },\n {\n \"type\": \"operand_isolation\",\n \"description\": \"Isolate operands when not in use\",\n \"command\": \"Use enable signals for arithmetic\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": 5.0,\n \"delay\": 5.0,\n \"power\": -25.0\n },\n \"trade_offs\": [\n \"Power optimization may add area overhead\",\n \"Clock gating adds timing complexity\"\n ],\n \"error\": null\n}", "plan_id": "b57cc1e77540", "design_id": "cea5da608e21", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/nvdla/hw", "commit": "8e06b1b9d85aab65b40d43d08eec5ea4681ff715", "path": "vmod/nvdla/pdp/NV_NVDLA_PDP_REG_single.v", "sha256": "850f750cf3f2cc75f393b60fb15d3320f5d66c668d24de723cfd00f082f9ea7a"}} {"question": "In the multi_sink module, the DFG shows two input ports, childclk and clk. Does that agree with the synthesized netlist? Compare the DFG's node and edge counts with the post-synthesis cell count, wire count and area, and explain what that says about whether either clock actually drives any logic.", "answer": "In multi_sink, the DFG has 2 port_input nodes (childclk and clk), 0 edges and an avg_degree of 0.0, so neither clock feeds any data path. Synthesis agrees: it reports a gate_count of 0, an area of 0 and a delay of 0.0, with only 1 wire left (wire_bits 1). This means the module is just clock ports with no logic driven by them.", "source_file": "github_repos/The-OpenROAD-Project_OpenROAD/src/cts/test/hier_insertion_delay.v", "module_name": "multi_sink", "tool_name": "graph_extractor+synthesis_tool", "tool_parameters": [{"graph_type": "DFG"}, {"optimization_level": "medium"}], "tool_result": "[graph_extractor {\"graph_type\": \"DFG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"DFG\",\n \"node_count\": 2,\n \"edge_count\": 0,\n \"graph_properties\": {\n \"node_types\": {\n \"port_input\": 2\n },\n \"avg_degree\": 0.0,\n \"module_name\": \"multi_sink\"\n },\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 0,\n \"delay\": 0.0,\n \"power\": 0.0,\n \"gate_count\": 0,\n \"cell_breakdown\": {},\n \"wire_count\": 1,\n \"wire_bits\": 1,\n \"critical_path_estimate\": 0.0,\n...[1075 chars elided]...\n \"error\": null\n}", "category": "multi_tool", "subcategory": "graph_extractor+synthesis_tool", "difficulty": "compositional", "question_hash": "616fa37fbca6", "stage1_target": "[{\"tool\": \"graph_extractor\", \"parameters\": {\"graph_type\": \"DFG\"}}, {\"tool\": \"synthesis_tool\", \"parameters\": {\"optimization_level\": \"medium\"}}]", "stage2_context": "Question: In the multi_sink module, the DFG shows two input ports, childclk and clk. Does that agree with the synthesized netlist? Compare the DFG's node and edge counts with the post-synthesis cell count, wire count and area, and explain what that says about whether either clock actually drives any logic.\n\n[graph_extractor {\"graph_type\": \"DFG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"DFG\",\n \"node_count\": 2,\n \"edge_count\": 0,\n \"graph_properties\": {\n \"node_types\": {\n \"port_input\": 2\n },\n \"avg_degree\": 0.0,\n \"module_name\": \"multi_sink\"\n },\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 0,\n \"delay\": 0.0,\n \"power\": 0.0,\n \"gate_count\": 0,\n \"cell_breakdown\": {},\n \"wire_count\": 1,\n \"wire_bits\": 1,\n \"critical_path_estimate\": 0.0,\n...[1075 chars elided]...\n \"error\": null\n}", "plan_id": "d4ef9f175ccf", "design_id": "cf6f667b4a7f", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/The-OpenROAD-Project/OpenROAD", "commit": "3e3e483a4e3f98e2b5470b272040699de6dedbee", "path": "src/cts/test/hier_insertion_delay.v", "sha256": "df9fef3d992d9dcd42a2527d0aa05ead68f677e8c3a1b3b7819dc1e96e4f00b6"}} {"question": "For the SDFSNQD1 scan flip-flop, the RTL-to-netlist mapping leaves the output Q unmapped. Does the CDFG of the module confirm that Q is really driven by the register, and what alignment score and register/mux structure explain the gap?", "answer": "The RTL-to-netlist mapping of SDFSNQD1 gets an alignment score of 83.33, with 5 signals mapped and Q as the 1 unmapped signal. The CDFG still shows Q driven by the Q port of a single $adff register ($procdff$8), which is fed by one $mux that selects between D and SI. That means Q is a real register output, and the mapping gap comes from how signals were matched, not from missing logic.", "source_file": "github_repos/nvdla_hw/vmod/vlibs/SDFSNQD1.v", "module_name": "SDFSNQD1", "tool_name": "cross_stage_mapper+graph_extractor", "tool_parameters": [{}, {"graph_type": "CDFG"}], "tool_result": "[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"D\": [\n \"D\",\n \"SDN\"\n ],\n \"Q\": [],\n \"SE\": [\n \"SE\"\n ],\n \"SI\": [\n \"SI\"\n ],\n \"CP\": [\n \"CP\"\n ],\n \"SDN\": [\n \"SDN\"\n ]\n },\n \"alignment_score\": 83.33,\n \"unmapped_elements\": [\n \"Q\"\n ],\n \"mapping_statistics\": {\n \"rtl_signals\": 6,\n \"netlist_wires\": 12,\n \"netlist_cells\": 0,\n \"mapped_signals\": 5,\n \"unmapped_signals\": 1\n },\n \"error\": null\n}\n\n[graph_extractor {\"graph_type\": \"CDFG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"CDFG\",\n...[907 chars elided]...\n \"node_count\": 8,\n \"edge_count\": 8,\n \"graph_properties\": {\n \"node_types\": {\n \"$mux\": 1,\n \"$adff\": 1,\n \"port_input\": 5,\n \"port_output\": 1\n },\n \"avg_degree\": 1.0,\n \"module_name\": \"SDFSNQD1\"\n },\n \"error\": null\n}", "category": "multi_tool", "subcategory": "cross_stage_mapper+graph_extractor", "difficulty": "compositional", "question_hash": "7322a2b93b5f", "stage1_target": "[{\"tool\": \"cross_stage_mapper\", \"parameters\": {}}, {\"tool\": \"graph_extractor\", \"parameters\": {\"graph_type\": \"CDFG\"}}]", "stage2_context": "Question: For the SDFSNQD1 scan flip-flop, the RTL-to-netlist mapping leaves the output Q unmapped. Does the CDFG of the module confirm that Q is really driven by the register, and what alignment score and register/mux structure explain the gap?\n\n[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"D\": [\n \"D\",\n \"SDN\"\n ],\n \"Q\": [],\n \"SE\": [\n \"SE\"\n ],\n \"SI\": [\n \"SI\"\n ],\n \"CP\": [\n \"CP\"\n ],\n \"SDN\": [\n \"SDN\"\n ]\n },\n \"alignment_score\": 83.33,\n \"unmapped_elements\": [\n \"Q\"\n ],\n \"mapping_statistics\": {\n \"rtl_signals\": 6,\n \"netlist_wires\": 12,\n \"netlist_cells\": 0,\n \"mapped_signals\": 5,\n \"unmapped_signals\": 1\n },\n \"error\": null\n}\n\n[graph_extractor {\"graph_type\": \"CDFG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"CDFG\",\n...[907 chars elided]...\n \"node_count\": 8,\n \"edge_count\": 8,\n \"graph_properties\": {\n \"node_types\": {\n \"$mux\": 1,\n \"$adff\": 1,\n \"port_input\": 5,\n \"port_output\": 1\n },\n \"avg_degree\": 1.0,\n \"module_name\": \"SDFSNQD1\"\n },\n \"error\": null\n}", "plan_id": "dc27f3037ab5", "design_id": "d15319c7d0e7", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/nvdla/hw", "commit": "8e06b1b9d85aab65b40d43d08eec5ea4681ff715", "path": "vmod/vlibs/SDFSNQD1.v", "sha256": "5e1829db211c5a52d248a1029e5d3a532c5ea5a073c53ddce761ca83ecfd3a68"}} {"question": "In servant_te0802_clock_gen, does the CDFG's node composition agree with the cell breakdown after medium-effort synthesis, and what area, delay and power did that synthesis report for the design?", "answer": "Yes. The CDFG for servant_te0802_clock_gen has 7 nodes and 17 edges: 1 $logic_not, 2 $dff and 1 MMCME4_ADV, plus port nodes. Synthesis maps those to the same 4 cells (1 $_NOT_, 2 $_DFF_P_, 1 MMCME4_ADV) and reports an area of 9.5, a delay of 140.2 and a power of 0.004.", "source_file": "github_repos/olofk_serv/servant/servant_te0802_clock_gen.v", "module_name": "servant_te0802_clock_gen", "tool_name": "graph_extractor+synthesis_tool", "tool_parameters": [{"graph_type": "CDFG"}, {"optimization_level": "medium"}], "tool_result": "[graph_extractor {\"graph_type\": \"CDFG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"CDFG\",\n...[2104 chars elided]...\n \"node_count\": 7,\n \"edge_count\": 17,\n \"graph_properties\": {\n \"node_types\": {\n \"$logic_not\": 1,\n \"$dff\": 2,\n \"MMCME4_ADV\": 1,\n \"port_input\": 1,\n \"port_output\": 2\n },\n \"avg_degree\": 2.43,\n \"module_name\": \"servant_te0802_clock_gen\"\n },\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 9.5,\n \"delay\": 140.2,\n \"power\": 0.004,\n \"gate_count\": 4,\n \"cell_breakdown\": {\n \"$_DFF_P_\": 2,\n \"$_NOT_\": 1,\n \"MMCME4_ADV\": 1\n },\n \"wire_count\": 7,\n \"wire_bits\": 7,\n \"critical_path_estimate\": 140.2,\n...[1120 chars elided]...\n \"error\": null\n}", "category": "multi_tool", "subcategory": "graph_extractor+synthesis_tool", "difficulty": "compositional", "question_hash": "049f1cf872ea", "stage1_target": "[{\"tool\": \"graph_extractor\", \"parameters\": {\"graph_type\": \"CDFG\"}}, {\"tool\": \"synthesis_tool\", \"parameters\": {\"optimization_level\": \"medium\"}}]", "stage2_context": "Question: In servant_te0802_clock_gen, does the CDFG's node composition agree with the cell breakdown after medium-effort synthesis, and what area, delay and power did that synthesis report for the design?\n\n[graph_extractor {\"graph_type\": \"CDFG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"CDFG\",\n...[2104 chars elided]...\n \"node_count\": 7,\n \"edge_count\": 17,\n \"graph_properties\": {\n \"node_types\": {\n \"$logic_not\": 1,\n \"$dff\": 2,\n \"MMCME4_ADV\": 1,\n \"port_input\": 1,\n \"port_output\": 2\n },\n \"avg_degree\": 2.43,\n \"module_name\": \"servant_te0802_clock_gen\"\n },\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 9.5,\n \"delay\": 140.2,\n \"power\": 0.004,\n \"gate_count\": 4,\n \"cell_breakdown\": {\n \"$_DFF_P_\": 2,\n \"$_NOT_\": 1,\n \"MMCME4_ADV\": 1\n },\n \"wire_count\": 7,\n \"wire_bits\": 7,\n \"critical_path_estimate\": 140.2,\n...[1120 chars elided]...\n \"error\": null\n}", "plan_id": "aa4403ddfddb", "design_id": "d1dbf92d744f", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/olofk/serv", "commit": "f200eb2ed7b69ac1c6b8eddd47654522aeee5ce8", "path": "servant/servant_te0802_clock_gen.v", "sha256": "39df2dc623155d01850c48914646dd7f643f6ee19504b7d6607dcee00630c229"}} {"question": "For the gate-level module dummy, how do the port and cell counts in its CDFG compare with the port counts and instantiated cell types found by a full static analysis of the source, and does anything appear to be missing from the graph?", "answer": "The CDFG for dummy has 8 nodes and 7 edges, with 2 port_input and 3 port_output nodes plus one sky130_fd_sc_hd__and2_1 and 2 sky130_fd_sc_hd__buf_4 cells. The static analysis reports 4 inputs and 6 outputs (10 ports total) and also lists a sky130_fd_sc_hd__xnor2_1 instantiation. That means the graph leaves out some ports and the xnor2 cell, even though the static analysis found no lint warnings and a cyclomatic complexity of 1.", "source_file": "github_repos/The-OpenROAD-Project_OpenROAD/src/upf/test/data/isolation/mpd_top.v", "module_name": "dummy", "tool_name": "graph_extractor+static_analyzer", "tool_parameters": [{"graph_type": "CDFG"}, {"analysis_type": "full"}], "tool_result": "[graph_extractor {\"graph_type\": \"CDFG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"CDFG\",\n...[770 chars elided]...\nutput\",\n \"bits\": [\n 6\n ]\n }\n ],\n \"node_count\": 8,\n \"edge_count\": 7,\n \"graph_properties\": {\n \"node_types\": {\n \"sky130_fd_sc_hd__and2_1\": 1,\n \"sky130_fd_sc_hd__buf_4\": 2,\n \"port_input\": 2,\n \"port_output\": 3\n },\n \"avg_degree\": 0.88,\n \"module_name\": \"dummy\"\n },\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"dummy\",\n \"port_count\": {\n \"inputs\": 4,\n \"outputs\": 6,\n \"inouts\": 0,\n \"total\": 10\n },\n \"signal_count\": {\n \"wires\": 13,\n \"regs\": 0,\n \"parameters\": 0,\n \"total\": 13\n },\n \"always_blocks\": 0,\n \"assign_statements\": 0,\n \"instantiations\": [\n \"sky130_fd_sc_hd__xnor2_1\",\n \"sky130_fd_sc_hd__and2_1\",\n \"sky130_fd_sc_hd__buf_4\",\n \"dummy\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 89,\n \"total_lines\": 92,\n \"cyclomatic_complexity\": 1,\n \"nesting_depth\": 0,\n \"operator_count\": 9\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "category": "multi_tool", "subcategory": "graph_extractor+static_analyzer", "difficulty": "compositional", "question_hash": "b64f4da8d2c3", "stage1_target": "[{\"tool\": \"graph_extractor\", \"parameters\": {\"graph_type\": \"CDFG\"}}, {\"tool\": \"static_analyzer\", \"parameters\": {\"analysis_type\": \"full\"}}]", "stage2_context": "Question: For the gate-level module dummy, how do the port and cell counts in its CDFG compare with the port counts and instantiated cell types found by a full static analysis of the source, and does anything appear to be missing from the graph?\n\n[graph_extractor {\"graph_type\": \"CDFG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"CDFG\",\n...[770 chars elided]...\nutput\",\n \"bits\": [\n 6\n ]\n }\n ],\n \"node_count\": 8,\n \"edge_count\": 7,\n \"graph_properties\": {\n \"node_types\": {\n \"sky130_fd_sc_hd__and2_1\": 1,\n \"sky130_fd_sc_hd__buf_4\": 2,\n \"port_input\": 2,\n \"port_output\": 3\n },\n \"avg_degree\": 0.88,\n \"module_name\": \"dummy\"\n },\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"dummy\",\n \"port_count\": {\n \"inputs\": 4,\n \"outputs\": 6,\n \"inouts\": 0,\n \"total\": 10\n },\n \"signal_count\": {\n \"wires\": 13,\n \"regs\": 0,\n \"parameters\": 0,\n \"total\": 13\n },\n \"always_blocks\": 0,\n \"assign_statements\": 0,\n \"instantiations\": [\n \"sky130_fd_sc_hd__xnor2_1\",\n \"sky130_fd_sc_hd__and2_1\",\n \"sky130_fd_sc_hd__buf_4\",\n \"dummy\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 89,\n \"total_lines\": 92,\n \"cyclomatic_complexity\": 1,\n \"nesting_depth\": 0,\n \"operator_count\": 9\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "plan_id": "82547d848c96", "design_id": "d3604392b5b3", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/The-OpenROAD-Project/OpenROAD", "commit": "3e3e483a4e3f98e2b5470b272040699de6dedbee", "path": "src/upf/test/data/isolation/mpd_top.v", "sha256": "1bb7b6b0f15ff1ebbd83a87b10a6f466907b91eded8116813dc98d922a0fcd95"}} {"question": "For NV_NVDLA_PDP_RDMA_REG_dual, after a medium-effort synthesis run, how big is the design and how much of it is register flops, and if I then follow the area-targeted optimization plan, what area gain should I expect and what will it cost me?", "answer": "At medium effort, NV_NVDLA_PDP_RDMA_REG_dual synthesizes to an area of 1248.5 with 1192 cells, and 239 of those cells are $_DFFE_PN0P_ flops, which makes it a register-heavy configuration block. The area-targeted plan (muxcover and share -aggressive) estimates an area improvement of -15.0 and a power improvement of -10.0, but delay is expected to worsen by 5.0 from the current 393.43 critical path, and the more aggressive sharing adds routing complexity.", "source_file": "github_repos/nvdla_hw/vmod/nvdla/pdp/NV_NVDLA_PDP_RDMA_REG_dual.v", "module_name": "NV_NVDLA_PDP_RDMA_REG_dual", "tool_name": "optimization_advisor+synthesis_tool", "tool_parameters": [{"target_metric": "area"}, {"optimization_level": "medium"}], "tool_result": "[optimization_advisor {\"target_metric\": \"area\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"area\",\n \"recommended_recipes\": [\n \"synth -top NV_NVDLA_PDP_RDMA_REG_dual -flatten\",\n \"opt -full; share -aggressive; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean -purge\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"mux_optimization\",\n \"description\": \"Share multiplexers where possible\",\n \"command\": \"muxcover; opt\"\n },\n {\n \"type\": \"resource_sharing\",\n \"description\": \"Share arithmetic operators\",\n \"command\": \"share -aggressive\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": -15.0,\n \"delay\": 5.0,\n \"power\": -10.0\n },\n \"trade_offs\": [\n \"Area optimization may increase delay\",\n \"Aggressive sharing increases routing complexity\"\n ],\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 1248.5,\n \"delay\": 393.43,\n \"power\": 1.192,\n \"gate_count\": 1192,\n \"cell_breakdown\": {\n \"$_ANDNOT_\": 112,\n \"$_AND_\": 277,\n \"$_DFFE_PN0P_\": 239,\n \"$_NAND_\": 271,\n \"$_NOR_\": 201,\n \"$_ORNOT_\": 1,\n \"$_OR_\": 91\n },\n \"wire_count\": 969,\n \"wire_bits\": 1893,\n \"critical_path_estimate\": 393.43,\n...[1232 chars elided]...\n \"error\": null\n}", "category": "multi_tool", "subcategory": "optimization_advisor+synthesis_tool", "difficulty": "compositional", "question_hash": "b84b844a430a", "stage1_target": "[{\"tool\": \"optimization_advisor\", \"parameters\": {\"target_metric\": \"area\"}}, {\"tool\": \"synthesis_tool\", \"parameters\": {\"optimization_level\": \"medium\"}}]", "stage2_context": "Question: For NV_NVDLA_PDP_RDMA_REG_dual, after a medium-effort synthesis run, how big is the design and how much of it is register flops, and if I then follow the area-targeted optimization plan, what area gain should I expect and what will it cost me?\n\n[optimization_advisor {\"target_metric\": \"area\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"area\",\n \"recommended_recipes\": [\n \"synth -top NV_NVDLA_PDP_RDMA_REG_dual -flatten\",\n \"opt -full; share -aggressive; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean -purge\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"mux_optimization\",\n \"description\": \"Share multiplexers where possible\",\n \"command\": \"muxcover; opt\"\n },\n {\n \"type\": \"resource_sharing\",\n \"description\": \"Share arithmetic operators\",\n \"command\": \"share -aggressive\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": -15.0,\n \"delay\": 5.0,\n \"power\": -10.0\n },\n \"trade_offs\": [\n \"Area optimization may increase delay\",\n \"Aggressive sharing increases routing complexity\"\n ],\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 1248.5,\n \"delay\": 393.43,\n \"power\": 1.192,\n \"gate_count\": 1192,\n \"cell_breakdown\": {\n \"$_ANDNOT_\": 112,\n \"$_AND_\": 277,\n \"$_DFFE_PN0P_\": 239,\n \"$_NAND_\": 271,\n \"$_NOR_\": 201,\n \"$_ORNOT_\": 1,\n \"$_OR_\": 91\n },\n \"wire_count\": 969,\n \"wire_bits\": 1893,\n \"critical_path_estimate\": 393.43,\n...[1232 chars elided]...\n \"error\": null\n}", "plan_id": "dd5b90212a84", "design_id": "d3f1188719b0", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/nvdla/hw", "commit": "8e06b1b9d85aab65b40d43d08eec5ea4681ff715", "path": "vmod/nvdla/pdp/NV_NVDLA_PDP_RDMA_REG_dual.v", "sha256": "d919809148755558c31c77a9c956eafb42c016a527b4787b66b5e86a93cde773"}} {"question": "For sirv_aon_porrst, which has no inputs, a single output, and no always blocks, is it worth running an area-targeted optimization flow that includes aggressive operator sharing, and what improvement would it be expected to deliver?", "answer": "sirv_aon_porrst has 0 inputs, 1 output, 0 always blocks and only 2 assign statements, so it is purely combinational and very small, with no arithmetic worth sharing. The area-targeted flow that uses \"share -aggressive\" predicts an area change of -15.0 and a delay change of 5.0, but on a design this small the absolute savings would be negligible and the extra delay is not worth it.", "source_file": "github_repos/riscv-mcu_e203_hbirdv2/rtl/e203/perips/sirv_aon_porrst.v", "module_name": "sirv_aon_porrst", "tool_name": "optimization_advisor+static_analyzer", "tool_parameters": [{"target_metric": "area"}, {"analysis_type": "full"}], "tool_result": "[optimization_advisor {\"target_metric\": \"area\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"area\",\n \"recommended_recipes\": [\n \"synth -top sirv_aon_porrst -flatten\",\n \"opt -full; share -aggressive; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean -purge\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"resource_sharing\",\n \"description\": \"Share arithmetic operators\",\n \"command\": \"share -aggressive\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": -15.0,\n \"delay\": 5.0,\n \"power\": -10.0\n },\n \"trade_offs\": [\n \"Area optimization may increase delay\",\n \"Aggressive sharing increases routing complexity\"\n ],\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"sirv_aon_porrst\",\n \"port_count\": {\n \"inputs\": 0,\n \"outputs\": 1,\n \"inouts\": 0,\n \"total\": 1\n },\n \"signal_count\": {\n \"wires\": 0,\n \"regs\": 0,\n \"parameters\": 0,\n \"total\": 0\n },\n \"always_blocks\": 0,\n \"assign_statements\": 2,\n \"instantiations\": [],\n \"code_complexity\": {\n \"lines_of_code\": 21,\n \"total_lines\": 42,\n \"cyclomatic_complexity\": 3,\n \"nesting_depth\": 0,\n \"operator_count\": 173\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "category": "multi_tool", "subcategory": "optimization_advisor+static_analyzer", "difficulty": "compositional", "question_hash": "e5ffc9447bb7", "stage1_target": "[{\"tool\": \"optimization_advisor\", \"parameters\": {\"target_metric\": \"area\"}}, {\"tool\": \"static_analyzer\", \"parameters\": {\"analysis_type\": \"full\"}}]", "stage2_context": "Question: For sirv_aon_porrst, which has no inputs, a single output, and no always blocks, is it worth running an area-targeted optimization flow that includes aggressive operator sharing, and what improvement would it be expected to deliver?\n\n[optimization_advisor {\"target_metric\": \"area\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"area\",\n \"recommended_recipes\": [\n \"synth -top sirv_aon_porrst -flatten\",\n \"opt -full; share -aggressive; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean -purge\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"resource_sharing\",\n \"description\": \"Share arithmetic operators\",\n \"command\": \"share -aggressive\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": -15.0,\n \"delay\": 5.0,\n \"power\": -10.0\n },\n \"trade_offs\": [\n \"Area optimization may increase delay\",\n \"Aggressive sharing increases routing complexity\"\n ],\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"sirv_aon_porrst\",\n \"port_count\": {\n \"inputs\": 0,\n \"outputs\": 1,\n \"inouts\": 0,\n \"total\": 1\n },\n \"signal_count\": {\n \"wires\": 0,\n \"regs\": 0,\n \"parameters\": 0,\n \"total\": 0\n },\n \"always_blocks\": 0,\n \"assign_statements\": 2,\n \"instantiations\": [],\n \"code_complexity\": {\n \"lines_of_code\": 21,\n \"total_lines\": 42,\n \"cyclomatic_complexity\": 3,\n \"nesting_depth\": 0,\n \"operator_count\": 173\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "plan_id": "d496acf9b4fc", "design_id": "d4f19dfc3f40", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/riscv-mcu/e203_hbirdv2", "commit": "9f3e34f337f5d0a1236a285871ffa2032491617a", "path": "rtl/e203/perips/sirv_aon_porrst.v", "sha256": "1bc839e9b50a8169a65e5819c62bcf88b75755f0b60c46b30307fb190eaa285d"}} {"question": "For servant_ecp5_evn_clock_gen, the RTL has one always block and instantiates ecp5_evn_pll, but the reset register doesn't seem to show up in the netlist. How well do the RTL signals line up with the netlist, which signal is missing, and is it worth applying an area-targeted optimization recipe to this module?", "answer": "In servant_ecp5_evn_clock_gen, 5 of the 6 RTL signals map to the netlist (alignment score 83.33). The only unmapped signal is rst_reg, the register written by the module's single always block, next to the ecp5_evn_pll instantiation. The netlist has 0 cells, so the estimated -15.0 area improvement from the area-targeted recipe, which comes with an estimated 5.0 delay penalty, gives little real benefit for this small wrapper with 20 lines of code.", "source_file": "github_repos/olofk_serv/servant/servant_ecp5_evn_clock_gen.v", "module_name": "servant_ecp5_evn_clock_gen", "tool_name": "cross_stage_mapper+optimization_advisor+static_analyzer", "tool_parameters": [{}, {"target_metric": "area"}, {"analysis_type": "full"}], "tool_result": "[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"locked\": [\n \"locked\"\n ],\n \"o_rst\": [\n \"o_rst\"\n ],\n \"i_rst\": [\n \"i_rst\"\n ],\n \"o_clk\": [\n \"o_clk\"\n ],\n \"rst_reg\": [],\n \"i_clk\": [\n \"i_clk\"\n ]\n },\n \"alignment_score\": 83.33,\n \"unmapped_elements\": [\n \"rst_reg\"\n ],\n \"mapping_statistics\": {\n \"rtl_signals\": 6,\n \"netlist_wires\": 8,\n \"netlist_cells\": 0,\n \"mapped_signals\": 5,\n \"unmapped_signals\": 1\n },\n \"error\": null\n}\n\n[optimization_advisor {\"target_metric\": \"area\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"area\",\n \"recommended_recipes\": [\n \"synth -top servant_ecp5_evn_clock_gen -flatten\",\n \"opt -full; share -aggressive; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean -purge\"\n ],\n \"optimization_suggestions\": [],\n \"estimated_improvement\": {\n \"area\": -15.0,\n \"delay\": 5.0,\n \"power\": -10.0\n },\n \"trade_offs\": [\n \"Area optimization may increase delay\",\n \"Aggressive sharing increases routing complexity\"\n ],\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"servant_ecp5_evn_clock_gen\",\n \"port_count\": {\n \"inputs\": 2,\n \"outputs\": 2,\n \"inouts\": 0,\n \"total\": 4\n },\n \"signal_count\": {\n \"wires\": 1,\n \"regs\": 1,\n \"parameters\": 0,\n \"total\": 2\n },\n \"always_blocks\": 1,\n \"assign_statements\": 1,\n \"instantiations\": [\n \"ecp5_evn_pll\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 20,\n \"total_lines\": 26,\n \"cyclomatic_complexity\": 3,\n \"nesting_depth\": 0,\n \"operator_count\": 5\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "category": "multi_tool", "subcategory": "cross_stage_mapper+optimization_advisor+static_analyzer", "difficulty": "compositional", "question_hash": "92596ab303df", "stage1_target": "[{\"tool\": \"cross_stage_mapper\", \"parameters\": {}}, {\"tool\": \"optimization_advisor\", \"parameters\": {\"target_metric\": \"area\"}}, {\"tool\": \"static_analyzer\", \"parameters\": {\"analysis_type\": \"full\"}}]", "stage2_context": "Question: For servant_ecp5_evn_clock_gen, the RTL has one always block and instantiates ecp5_evn_pll, but the reset register doesn't seem to show up in the netlist. How well do the RTL signals line up with the netlist, which signal is missing, and is it worth applying an area-targeted optimization recipe to this module?\n\n[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"locked\": [\n \"locked\"\n ],\n \"o_rst\": [\n \"o_rst\"\n ],\n \"i_rst\": [\n \"i_rst\"\n ],\n \"o_clk\": [\n \"o_clk\"\n ],\n \"rst_reg\": [],\n \"i_clk\": [\n \"i_clk\"\n ]\n },\n \"alignment_score\": 83.33,\n \"unmapped_elements\": [\n \"rst_reg\"\n ],\n \"mapping_statistics\": {\n \"rtl_signals\": 6,\n \"netlist_wires\": 8,\n \"netlist_cells\": 0,\n \"mapped_signals\": 5,\n \"unmapped_signals\": 1\n },\n \"error\": null\n}\n\n[optimization_advisor {\"target_metric\": \"area\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"area\",\n \"recommended_recipes\": [\n \"synth -top servant_ecp5_evn_clock_gen -flatten\",\n \"opt -full; share -aggressive; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean -purge\"\n ],\n \"optimization_suggestions\": [],\n \"estimated_improvement\": {\n \"area\": -15.0,\n \"delay\": 5.0,\n \"power\": -10.0\n },\n \"trade_offs\": [\n \"Area optimization may increase delay\",\n \"Aggressive sharing increases routing complexity\"\n ],\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"servant_ecp5_evn_clock_gen\",\n \"port_count\": {\n \"inputs\": 2,\n \"outputs\": 2,\n \"inouts\": 0,\n \"total\": 4\n },\n \"signal_count\": {\n \"wires\": 1,\n \"regs\": 1,\n \"parameters\": 0,\n \"total\": 2\n },\n \"always_blocks\": 1,\n \"assign_statements\": 1,\n \"instantiations\": [\n \"ecp5_evn_pll\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 20,\n \"total_lines\": 26,\n \"cyclomatic_complexity\": 3,\n \"nesting_depth\": 0,\n \"operator_count\": 5\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "plan_id": "f91a8029ec24", "design_id": "d51fbc8efc46", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 3, "ctx_cap": 3300, "source": {"repository": "https://github.com/olofk/serv", "commit": "f200eb2ed7b69ac1c6b8eddd47654522aeee5ce8", "path": "servant/servant_ecp5_evn_clock_gen.v", "sha256": "1f2ff047f903703c400087fb1fda749d2a243dbff534bdc2d13aa6d9e51cb7ea"}} {"question": "For sirv_LevelGateway, how does the operator mix in the CDFG compare with the gate-level cells after medium-effort synthesis? Specifically, does the one register in the CDFG still appear as a single flip-flop, and what are the final gate count and critical-path delay?", "answer": "The CDFG for sirv_LevelGateway has 13 nodes, including 2 $and, 1 $not, 2 $mux and 1 $adffe register. After medium-effort synthesis the logic maps to 5 gates: 2 $_ANDNOT_, 1 $_AND_, 1 $_OR_ and a single $_DFFE_PP0P_ flip-flop that matches the CDFG register. The critical path delay is 87.52, with area 6.0.", "source_file": "github_repos/riscv-mcu_e203_hbirdv2/rtl/e203/perips/sirv_LevelGateway.v", "module_name": "sirv_LevelGateway", "tool_name": "graph_extractor+synthesis_tool", "tool_parameters": [{"graph_type": "CDFG"}, {"optimization_level": "medium"}], "tool_result": "[graph_extractor {\"graph_type\": \"CDFG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"CDFG\",\n...[4600 chars elided]...\n \"node_count\": 13,\n \"edge_count\": 24,\n \"graph_properties\": {\n \"node_types\": {\n \"$and\": 2,\n \"$not\": 1,\n \"$adffe\": 1,\n \"$reduce_bool\": 1,\n \"$mux\": 2,\n \"port_input\": 5,\n \"port_output\": 1\n },\n \"avg_degree\": 1.85,\n \"module_name\": \"sirv_LevelGateway\"\n },\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 6.0,\n \"delay\": 87.52,\n \"power\": 0.005,\n \"gate_count\": 5,\n \"cell_breakdown\": {\n \"$_ANDNOT_\": 2,\n \"$_AND_\": 1,\n \"$_DFFE_PP0P_\": 1,\n \"$_OR_\": 1\n },\n \"wire_count\": 11,\n \"wire_bits\": 11,\n \"critical_path_estimate\": 87.52,\n...[1143 chars elided]...\n \"error\": null\n}", "category": "multi_tool", "subcategory": "graph_extractor+synthesis_tool", "difficulty": "compositional", "question_hash": "f7f34c0007d4", "stage1_target": "[{\"tool\": \"graph_extractor\", \"parameters\": {\"graph_type\": \"CDFG\"}}, {\"tool\": \"synthesis_tool\", \"parameters\": {\"optimization_level\": \"medium\"}}]", "stage2_context": "Question: For sirv_LevelGateway, how does the operator mix in the CDFG compare with the gate-level cells after medium-effort synthesis? Specifically, does the one register in the CDFG still appear as a single flip-flop, and what are the final gate count and critical-path delay?\n\n[graph_extractor {\"graph_type\": \"CDFG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"CDFG\",\n...[4600 chars elided]...\n \"node_count\": 13,\n \"edge_count\": 24,\n \"graph_properties\": {\n \"node_types\": {\n \"$and\": 2,\n \"$not\": 1,\n \"$adffe\": 1,\n \"$reduce_bool\": 1,\n \"$mux\": 2,\n \"port_input\": 5,\n \"port_output\": 1\n },\n \"avg_degree\": 1.85,\n \"module_name\": \"sirv_LevelGateway\"\n },\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 6.0,\n \"delay\": 87.52,\n \"power\": 0.005,\n \"gate_count\": 5,\n \"cell_breakdown\": {\n \"$_ANDNOT_\": 2,\n \"$_AND_\": 1,\n \"$_DFFE_PP0P_\": 1,\n \"$_OR_\": 1\n },\n \"wire_count\": 11,\n \"wire_bits\": 11,\n \"critical_path_estimate\": 87.52,\n...[1143 chars elided]...\n \"error\": null\n}", "plan_id": "2c9b3841728e", "design_id": "d60d3554657c", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/riscv-mcu/e203_hbirdv2", "commit": "9f3e34f337f5d0a1236a285871ffa2032491617a", "path": "rtl/e203/perips/sirv_LevelGateway.v", "sha256": "a72ad6d2ae8b199742da8bf228f114b4c718ccf3286597abb39971193cedf25e"}} {"question": "For sirv_queue, does the size of its DFG line up with what the source-level analysis reports? Compare the DFG's port node counts and its memory and mux nodes with the port count, always-block count and cyclomatic complexity found in the source.", "answer": "In sirv_queue's DFG, the 9 port_input and 8 port_output nodes match the 9 inputs and 8 outputs (17 ports in total) found in the source. The single $adffe register and the 5 $memrd and 5 $memwr_v2 nodes are consistent with the 2 always blocks and the queue's RAM. The 8 $mux nodes reflect the control branching behind its cyclomatic complexity of 10.", "source_file": "github_repos/riscv-mcu_e203_hbirdv2/rtl/e203/perips/sirv_queue.v", "module_name": "sirv_queue", "tool_name": "graph_extractor+static_analyzer", "tool_parameters": [{"graph_type": "DFG"}, {"analysis_type": "full"}], "tool_result": "[graph_extractor {\"graph_type\": \"DFG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"DFG\",\n...[34594 chars elided]...\n \"node_count\": 40,\n \"edge_count\": 400,\n \"graph_properties\": {\n \"node_types\": {\n \"$memrd\": 5,\n \"$not\": 1,\n \"$and\": 2,\n \"$ne\": 1,\n \"$mux\": 8,\n \"$adffe\": 1,\n \"$memwr_v2\": 5,\n \"port_input\": 9,\n \"port_output\": 8\n },\n \"avg_degree\": 10.0,\n \"module_name\": \"sirv_queue\"\n },\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"sirv_queue\",\n \"port_count\": {\n \"inputs\": 9,\n \"outputs\": 8,\n \"inouts\": 0,\n \"total\": 17\n },\n \"signal_count\": {\n \"wires\": 42,\n \"regs\": 12,\n \"parameters\": 0,\n \"total\": 54\n },\n \"always_blocks\": 2,\n \"assign_statements\": 50,\n \"instantiations\": [\n \"reset\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 162,\n \"total_lines\": 172,\n \"cyclomatic_complexity\": 10,\n \"nesting_depth\": 10,\n \"operator_count\": 89\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "category": "multi_tool", "subcategory": "graph_extractor+static_analyzer", "difficulty": "compositional", "question_hash": "9209200304e0", "stage1_target": "[{\"tool\": \"graph_extractor\", \"parameters\": {\"graph_type\": \"DFG\"}}, {\"tool\": \"static_analyzer\", \"parameters\": {\"analysis_type\": \"full\"}}]", "stage2_context": "Question: For sirv_queue, does the size of its DFG line up with what the source-level analysis reports? Compare the DFG's port node counts and its memory and mux nodes with the port count, always-block count and cyclomatic complexity found in the source.\n\n[graph_extractor {\"graph_type\": \"DFG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"DFG\",\n...[34594 chars elided]...\n \"node_count\": 40,\n \"edge_count\": 400,\n \"graph_properties\": {\n \"node_types\": {\n \"$memrd\": 5,\n \"$not\": 1,\n \"$and\": 2,\n \"$ne\": 1,\n \"$mux\": 8,\n \"$adffe\": 1,\n \"$memwr_v2\": 5,\n \"port_input\": 9,\n \"port_output\": 8\n },\n \"avg_degree\": 10.0,\n \"module_name\": \"sirv_queue\"\n },\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"sirv_queue\",\n \"port_count\": {\n \"inputs\": 9,\n \"outputs\": 8,\n \"inouts\": 0,\n \"total\": 17\n },\n \"signal_count\": {\n \"wires\": 42,\n \"regs\": 12,\n \"parameters\": 0,\n \"total\": 54\n },\n \"always_blocks\": 2,\n \"assign_statements\": 50,\n \"instantiations\": [\n \"reset\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 162,\n \"total_lines\": 172,\n \"cyclomatic_complexity\": 10,\n \"nesting_depth\": 10,\n \"operator_count\": 89\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "plan_id": "cb87358d94d7", "design_id": "d6e41b087c5b", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/riscv-mcu/e203_hbirdv2", "commit": "9f3e34f337f5d0a1236a285871ffa2032491617a", "path": "rtl/e203/perips/sirv_queue.v", "sha256": "fc1b9ee9fe87a9a8ff1a8c50de9d74164d0b5080716557ab814e82a67b1ae133"}} {"question": "For timer_module, how well do the RTL signals carry through to the netlist, and how does that line up with the submodule and port structure shown in its DFG? Please also point out any RTL signals that have no netlist counterpart.", "answer": "timer_module's RTL-to-netlist alignment score is 93.55: 29 of its 31 RTL signals map to the netlist, and only 'wire' and 's_cnt_update' have no counterpart. This fits the DFG, which has 35 nodes and 322 edges and is built from 4 comparator instances, 1 timer_cntrl, 1 up_down_counter, 1 input_stage and 1 prescaler, along with 24 input ports and 3 output ports.", "source_file": "github_repos/riscv-mcu_e203_hbirdv2/rtl/e203/perips/apb_adv_timer/timer_module.v", "module_name": "timer_module", "tool_name": "cross_stage_mapper+graph_extractor", "tool_parameters": [{}, {"graph_type": "DFG"}], "tool_result": "[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"s_cnt_evt\": [\n \"s_cnt_evt\"\n ],\n \"wire\": [],\n \"cfg_presc_i\": [\n \"cfg_presc_i\"\n ],\n \"cfg_sawtooth_i\": [\n \"cfg_sawtooth_i\"\n ],\n \"cfg_sel_i\": [\n \"cfg_sel_i\"\n ],\n \"s_ctrl_update_all\": [\n \"s_ctrl_update_all\"\n ],\n \"cfg_comp_op_ch3_i\": [\n \"cfg_comp_op_ch3_i\"\n ],\n \"s_cnt_update\": [],\n \"s_cnt_end\": [\n \"s_cnt\n...[487 chars elided]...\nctive\": [\n \"s_ctrl_active\"\n ],\n \"s_cnt_saw\": [\n \"s_cnt_saw\"\n ],\n \"s_ctrl_arm\": [\n \"s_ctrl_arm\"\n ],\n \"cfg_start_i\": [\n \"cfg_start_i\"\n ],\n \"ls_clk_i\": [\n \"ls_clk_i\"\n ],\n \"cfg_update_i\": [\n \"cfg_update_i\"\n ],\n \"pwm_o\": [\n \"pwm_o\"\n ],\n \"cfg_comp_op_ch2_i\": [\n \"cfg_comp_op_ch2_i\"\n ],\n \"s_presc_evt\": [\n \"s_presc_evt\"\n ],\n \"s_ctrl_update_cnt\": [\n \"s_ctrl_update_cnt\"\n ],\n \"rstn_i\": [\n \"rstn_i\"\n ],\n \"cfg_stop_i\": [\n \"cfg_stop_i\"\n ],\n \"cfg_sel_clk_i\": [\n \"cfg_sel_clk_i\"\n ]\n },\n \"alignment_score\": 93.55,\n \"unmapped_elements\": [\n \"wire\",\n \"s_cnt_update\"\n ],\n \"mapping_statistics\": {\n \"rtl_signals\": 31,\n \"netlist_wires\": 38,\n \"netlist_cells\": 0,\n \"mapped_signals\": 29,\n \"unmapped_signals\": 2\n },\n \"error\": null\n}\n\n[graph_extractor {\"graph_type\": \"DFG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"DFG\",\n...[24796 chars elided]...\n \"node_count\": 35,\n \"edge_count\": 322,\n \"graph_properties\": {\n \"node_types\": {\n \"comparator\": 4,\n \"timer_cntrl\": 1,\n \"up_down_counter\": 1,\n \"input_stage\": 1,\n \"prescaler\": 1,\n \"port_input\": 24,\n \"port_output\": 3\n },\n \"avg_degree\": 9.2,\n \"module_name\": \"timer_module\"\n },\n \"error\": null\n}", "category": "multi_tool", "subcategory": "cross_stage_mapper+graph_extractor", "difficulty": "compositional", "question_hash": "bf101ea7efd1", "stage1_target": "[{\"tool\": \"cross_stage_mapper\", \"parameters\": {}}, {\"tool\": \"graph_extractor\", \"parameters\": {\"graph_type\": \"DFG\"}}]", "stage2_context": "Question: For timer_module, how well do the RTL signals carry through to the netlist, and how does that line up with the submodule and port structure shown in its DFG? Please also point out any RTL signals that have no netlist counterpart.\n\n[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"s_cnt_evt\": [\n \"s_cnt_evt\"\n ],\n \"wire\": [],\n \"cfg_presc_i\": [\n \"cfg_presc_i\"\n ],\n \"cfg_sawtooth_i\": [\n \"cfg_sawtooth_i\"\n ],\n \"cfg_sel_i\": [\n \"cfg_sel_i\"\n ],\n \"s_ctrl_update_all\": [\n \"s_ctrl_update_all\"\n ],\n \"cfg_comp_op_ch3_i\": [\n \"cfg_comp_op_ch3_i\"\n ],\n \"s_cnt_update\": [],\n \"s_cnt_end\": [\n \"s_cnt\n...[487 chars elided]...\nctive\": [\n \"s_ctrl_active\"\n ],\n \"s_cnt_saw\": [\n \"s_cnt_saw\"\n ],\n \"s_ctrl_arm\": [\n \"s_ctrl_arm\"\n ],\n \"cfg_start_i\": [\n \"cfg_start_i\"\n ],\n \"ls_clk_i\": [\n \"ls_clk_i\"\n ],\n \"cfg_update_i\": [\n \"cfg_update_i\"\n ],\n \"pwm_o\": [\n \"pwm_o\"\n ],\n \"cfg_comp_op_ch2_i\": [\n \"cfg_comp_op_ch2_i\"\n ],\n \"s_presc_evt\": [\n \"s_presc_evt\"\n ],\n \"s_ctrl_update_cnt\": [\n \"s_ctrl_update_cnt\"\n ],\n \"rstn_i\": [\n \"rstn_i\"\n ],\n \"cfg_stop_i\": [\n \"cfg_stop_i\"\n ],\n \"cfg_sel_clk_i\": [\n \"cfg_sel_clk_i\"\n ]\n },\n \"alignment_score\": 93.55,\n \"unmapped_elements\": [\n \"wire\",\n \"s_cnt_update\"\n ],\n \"mapping_statistics\": {\n \"rtl_signals\": 31,\n \"netlist_wires\": 38,\n \"netlist_cells\": 0,\n \"mapped_signals\": 29,\n \"unmapped_signals\": 2\n },\n \"error\": null\n}\n\n[graph_extractor {\"graph_type\": \"DFG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"DFG\",\n...[24796 chars elided]...\n \"node_count\": 35,\n \"edge_count\": 322,\n \"graph_properties\": {\n \"node_types\": {\n \"comparator\": 4,\n \"timer_cntrl\": 1,\n \"up_down_counter\": 1,\n \"input_stage\": 1,\n \"prescaler\": 1,\n \"port_input\": 24,\n \"port_output\": 3\n },\n \"avg_degree\": 9.2,\n \"module_name\": \"timer_module\"\n },\n \"error\": null\n}", "plan_id": "1ab33e3dde77", "design_id": "da37d7ee72f2", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/riscv-mcu/e203_hbirdv2", "commit": "9f3e34f337f5d0a1236a285871ffa2032491617a", "path": "rtl/e203/perips/apb_adv_timer/timer_module.v", "sha256": "59435233271979437d50ae81ce9300221b657a7a7c2ec919f977230d52c452ff"}} {"question": "In serv_rf_top, how do the CDFG's node and edge counts and its port nodes compare with the declared port counts and the absence of procedural logic in the RTL, and does the medium-effort synthesis result agree that this module is only a structural wrapper around its submodules?", "answer": "The CDFG for serv_rf_top has only 23 nodes but 394 edges. It contains 9 input-port nodes, which matches the 9 declared inputs, and 11 output-port nodes against 32 declared outputs, which suggests the outputs are bundled into multi-bit vectors. With 0 always blocks and 0 assign statements, synthesis keeps just 3 cells (one each of serv_top, serv_rf_ram and serv_rf_ram_if) with an area of 3.0 and a delay of 69.52, which confirms the module is a purely structural wrapper.", "source_file": "github_repos/olofk_serv/rtl/serv_rf_top.v", "module_name": "serv_rf_top", "tool_name": "graph_extractor+static_analyzer+synthesis_tool", "tool_parameters": [{"graph_type": "CDFG"}, {"analysis_type": "full"}, {"optimization_level": "medium"}], "tool_result": "[graph_extractor {\"graph_type\": \"CDFG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"CDFG\",\n...[23157 chars elided]...\n \"node_count\": 23,\n \"edge_count\": 394,\n \"graph_properties\": {\n \"node_types\": {\n \"serv_top\": 1,\n \"serv_rf_ram\": 1,\n \"serv_rf_ram_if\": 1,\n \"port_input\": 9,\n \"port_output\": 11\n },\n \"avg_degree\": 17.13,\n \"module_name\": \"serv_rf_top\"\n },\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"serv_rf_top\",\n \"port_count\": {\n \"inputs\": 9,\n \"outputs\": 32,\n \"inouts\": 0,\n \"total\": 41\n },\n \"signal_count\": {\n \"wires\": 47,\n \"regs\": 0,\n \"parameters\": 9,\n \"total\": 47\n },\n \"always_blocks\": 0,\n \"assign_statements\": 0,\n \"instantiations\": [],\n \"code_complexity\": {\n \"lines_of_code\": 211,\n \"total_lines\": 228,\n \"cyclomatic_complexity\": 3,\n \"nesting_depth\": 0,\n \"operator_count\": 76\n },\n \"lint_warnings\": [],\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 3.0,\n \"delay\": 69.52,\n \"power\": 0.003,\n \"gate_count\": 3,\n \"cell_breakdown\": {\n \"serv_rf_ram\": 1,\n \"serv_rf_ram_if\": 1,\n \"serv_top\": 1\n },\n \"wire_count\": 39,\n \"wire_bits\": 332,\n \"critical_path_estimate\": 69.52,\n...[1580 chars elided]...\n \"error\": null\n}", "category": "multi_tool", "subcategory": "graph_extractor+static_analyzer+synthesis_tool", "difficulty": "compositional", "question_hash": "0ada80cc0ffe", "stage1_target": "[{\"tool\": \"graph_extractor\", \"parameters\": {\"graph_type\": \"CDFG\"}}, {\"tool\": \"static_analyzer\", \"parameters\": {\"analysis_type\": \"full\"}}, {\"tool\": \"synthesis_tool\", \"parameters\": {\"optimization_level\": \"medium\"}}]", "stage2_context": "Question: In serv_rf_top, how do the CDFG's node and edge counts and its port nodes compare with the declared port counts and the absence of procedural logic in the RTL, and does the medium-effort synthesis result agree that this module is only a structural wrapper around its submodules?\n\n[graph_extractor {\"graph_type\": \"CDFG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"CDFG\",\n...[23157 chars elided]...\n \"node_count\": 23,\n \"edge_count\": 394,\n \"graph_properties\": {\n \"node_types\": {\n \"serv_top\": 1,\n \"serv_rf_ram\": 1,\n \"serv_rf_ram_if\": 1,\n \"port_input\": 9,\n \"port_output\": 11\n },\n \"avg_degree\": 17.13,\n \"module_name\": \"serv_rf_top\"\n },\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"serv_rf_top\",\n \"port_count\": {\n \"inputs\": 9,\n \"outputs\": 32,\n \"inouts\": 0,\n \"total\": 41\n },\n \"signal_count\": {\n \"wires\": 47,\n \"regs\": 0,\n \"parameters\": 9,\n \"total\": 47\n },\n \"always_blocks\": 0,\n \"assign_statements\": 0,\n \"instantiations\": [],\n \"code_complexity\": {\n \"lines_of_code\": 211,\n \"total_lines\": 228,\n \"cyclomatic_complexity\": 3,\n \"nesting_depth\": 0,\n \"operator_count\": 76\n },\n \"lint_warnings\": [],\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 3.0,\n \"delay\": 69.52,\n \"power\": 0.003,\n \"gate_count\": 3,\n \"cell_breakdown\": {\n \"serv_rf_ram\": 1,\n \"serv_rf_ram_if\": 1,\n \"serv_top\": 1\n },\n \"wire_count\": 39,\n \"wire_bits\": 332,\n \"critical_path_estimate\": 69.52,\n...[1580 chars elided]...\n \"error\": null\n}", "plan_id": "2b49e05e52a6", "design_id": "d9836f9b4e87", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 3, "ctx_cap": 3300, "source": {"repository": "https://github.com/olofk/serv", "commit": "f200eb2ed7b69ac1c6b8eddd47654522aeee5ce8", "path": "rtl/serv_rf_top.v", "sha256": "89faedf7530c34305bfbffd261732d95016bf5627f10b7bbafaa8e1fd6cd49c9"}} {"question": "For NV_NVDLA_SDP_REG_single, how well do the RTL signals line up with the synthesized netlist at medium optimization, and does the netlist's flip-flop count fit with a register block where many LUT configuration fields don't map to any netlist signal?", "answer": "For NV_NVDLA_SDP_REG_single, the RTL-to-netlist alignment score is only 68.12: 47 of 69 RTL signals map and 22 do not, and the unmapped ones include LUT fields like lut_le_function and lut_table_id. Even so, the medium-optimization netlist has 253 $_DFFE_PN0P_ enable flip-flops out of 1082 cells (area 1105.5, delay 379.76), so the register storage is still there and was likely just merged into flattened or renamed nets rather than removed.", "source_file": "github_repos/nvdla_hw/vmod/nvdla/sdp/NV_NVDLA_SDP_REG_single.v", "module_name": "NV_NVDLA_SDP_REG_single", "tool_name": "cross_stage_mapper+synthesis_tool", "tool_parameters": [{}, {"optimization_level": "medium"}], "tool_result": "[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"nvdla_sdp_s_lut_cfg_0_out\": [\n \"nvdla_sdp_s_lut_cfg_0_out\"\n ],\n \"nvdla_sdp_s_lut_le_end_0_wren\": [\n \"nvdla_sdp_s_lut_le_end_0_wren\"\n ],\n \"nvdla_core_clk\": [\n \"nvdla_core_clk\"\n ],\n \"nvdla_sdp_s_lut_le_slope_shift_0_wren\": [\n \"nvdla_sdp_s_lut_le_slope_shift_0_wren\"\n ],\n \"nvdla_sdp_s_lut_lo_slope_scale_0_out\": [\n \"nvdla_sdp_s_lu\n...[4120 chars elided]...\ns_lut_lo_start_0_out\",\n \"nvdla_sdp_s_lut_lo_start_0_wren\"\n ]\n },\n \"alignment_score\": 68.12,\n \"unmapped_elements\": [\n \"lut_lo_slope_oflow_shift\",\n \"lut_le_function\",\n \"lut_lo_index_select\",\n \"lut_lo_slope_uflow_shift\",\n \"producer\",\n \"nvdla_sdp_s_status_0_wren\",\n \"lut_le_slope_uflow_scale\",\n \"arreggen_dump\",\n \"lut_lo_slope_uflow_scale\",\n \"lut_oflow_priority\",\n \"lut_table_id\",\n \"lut_le_slope_oflow_shift\",\n \"lut_le_index_offset\",\n \"lut_le_slope_uflow_shift\",\n \"lut_hybrid_priority\",\n \"lut_uflow_priority\",\n \"arreggen_abort_on_rowr\",\n \"lut_le_slope_oflow_scale\",\n \"arreggen_abort_on_invalid_wr\",\n \"lut_lo_slope_oflow_scale\"\n ],\n \"mapping_statistics\": {\n \"rtl_signals\": 69,\n \"netlist_wires\": 2516,\n \"netlist_cells\": 0,\n \"mapped_signals\": 47,\n \"unmapped_signals\": 22\n },\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 1105.5,\n \"delay\": 379.76,\n \"power\": 1.082,\n \"gate_count\": 1082,\n \"cell_breakdown\": {\n \"$_ANDNOT_\": 44,\n \"$_AND_\": 286,\n \"$_DFFE_PN0P_\": 253,\n \"$_NAND_\": 223,\n \"$_NOR_\": 182,\n \"$_ORNOT_\": 3,\n \"$_OR_\": 91\n },\n \"wire_count\": 848,\n \"wire_bits\": 1644,\n \"critical_path_estimate\": 379.76,\n...[1231 chars elided]...\n \"error\": null\n}", "category": "multi_tool", "subcategory": "cross_stage_mapper+synthesis_tool", "difficulty": "compositional", "question_hash": "6e2a02afd641", "stage1_target": "[{\"tool\": \"cross_stage_mapper\", \"parameters\": {}}, {\"tool\": \"synthesis_tool\", \"parameters\": {\"optimization_level\": \"medium\"}}]", "stage2_context": "Question: For NV_NVDLA_SDP_REG_single, how well do the RTL signals line up with the synthesized netlist at medium optimization, and does the netlist's flip-flop count fit with a register block where many LUT configuration fields don't map to any netlist signal?\n\n[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"nvdla_sdp_s_lut_cfg_0_out\": [\n \"nvdla_sdp_s_lut_cfg_0_out\"\n ],\n \"nvdla_sdp_s_lut_le_end_0_wren\": [\n \"nvdla_sdp_s_lut_le_end_0_wren\"\n ],\n \"nvdla_core_clk\": [\n \"nvdla_core_clk\"\n ],\n \"nvdla_sdp_s_lut_le_slope_shift_0_wren\": [\n \"nvdla_sdp_s_lut_le_slope_shift_0_wren\"\n ],\n \"nvdla_sdp_s_lut_lo_slope_scale_0_out\": [\n \"nvdla_sdp_s_lu\n...[4120 chars elided]...\ns_lut_lo_start_0_out\",\n \"nvdla_sdp_s_lut_lo_start_0_wren\"\n ]\n },\n \"alignment_score\": 68.12,\n \"unmapped_elements\": [\n \"lut_lo_slope_oflow_shift\",\n \"lut_le_function\",\n \"lut_lo_index_select\",\n \"lut_lo_slope_uflow_shift\",\n \"producer\",\n \"nvdla_sdp_s_status_0_wren\",\n \"lut_le_slope_uflow_scale\",\n \"arreggen_dump\",\n \"lut_lo_slope_uflow_scale\",\n \"lut_oflow_priority\",\n \"lut_table_id\",\n \"lut_le_slope_oflow_shift\",\n \"lut_le_index_offset\",\n \"lut_le_slope_uflow_shift\",\n \"lut_hybrid_priority\",\n \"lut_uflow_priority\",\n \"arreggen_abort_on_rowr\",\n \"lut_le_slope_oflow_scale\",\n \"arreggen_abort_on_invalid_wr\",\n \"lut_lo_slope_oflow_scale\"\n ],\n \"mapping_statistics\": {\n \"rtl_signals\": 69,\n \"netlist_wires\": 2516,\n \"netlist_cells\": 0,\n \"mapped_signals\": 47,\n \"unmapped_signals\": 22\n },\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 1105.5,\n \"delay\": 379.76,\n \"power\": 1.082,\n \"gate_count\": 1082,\n \"cell_breakdown\": {\n \"$_ANDNOT_\": 44,\n \"$_AND_\": 286,\n \"$_DFFE_PN0P_\": 253,\n \"$_NAND_\": 223,\n \"$_NOR_\": 182,\n \"$_ORNOT_\": 3,\n \"$_OR_\": 91\n },\n \"wire_count\": 848,\n \"wire_bits\": 1644,\n \"critical_path_estimate\": 379.76,\n...[1231 chars elided]...\n \"error\": null\n}", "plan_id": "4b9a3a111271", "design_id": "dae0298636e4", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/nvdla/hw", "commit": "8e06b1b9d85aab65b40d43d08eec5ea4681ff715", "path": "vmod/nvdla/sdp/NV_NVDLA_SDP_REG_single.v", "sha256": "7582c59a7440b1094f287131a0fa8d59c4eb94c278dc3c628af230d73be9c0bb"}} {"question": "For NV_NVDLA_CSC_slcg, how does the logic seen in the CDFG compare with the size of the source code? Specifically, how many OR and AND operators and clock-gate cells does the CDFG show, and how does that compare with the module's cyclomatic complexity and number of always blocks?", "answer": "The CDFG for NV_NVDLA_CSC_slcg has only 13 nodes and 16 edges: 3 $or nodes, 1 $and node and 1 NV_CLK_gate_power cell, which drives the single output. The source code looks much more complex, with a cyclomatic complexity of 61, 10 always blocks and 307 lines of code, so most of that complexity probably comes from testpoint and coverage code (such as system_verilog_testpoint) that adds nothing to the synthesized logic.", "source_file": "github_repos/nvdla_hw/vmod/nvdla/csc/NV_NVDLA_CSC_slcg.v", "module_name": "NV_NVDLA_CSC_slcg", "tool_name": "graph_extractor+static_analyzer", "tool_parameters": [{"graph_type": "CDFG"}, {"analysis_type": "full"}], "tool_result": "[graph_extractor {\"graph_type\": \"CDFG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"CDFG\",\n...[3643 chars elided]...\n \"node_count\": 13,\n \"edge_count\": 16,\n \"graph_properties\": {\n \"node_types\": {\n \"$or\": 3,\n \"$and\": 1,\n \"NV_CLK_gate_power\": 1,\n \"port_input\": 7,\n \"port_output\": 1\n },\n \"avg_degree\": 1.23,\n \"module_name\": \"NV_NVDLA_CSC_slcg\"\n },\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"NV_NVDLA_CSC_slcg\",\n \"port_count\": {\n \"inputs\": 7,\n \"outputs\": 1,\n \"inouts\": 0,\n \"total\": 8\n },\n \"signal_count\": {\n \"wires\": 12,\n \"regs\": 11,\n \"parameters\": 0,\n \"total\": 23\n },\n \"always_blocks\": 10,\n \"assign_statements\": 5,\n \"instantiations\": [\n \"ASSOCIATE_TESTPOINT_NAME_GOAL_NUMBER\",\n \"SIMTOP_EOS_SIGNAL\",\n \"endif\",\n \"NV_CLK_gate_power\",\n \"FV_COVER_ON\",\n \"HAS_RETENTION_TESTPOINT_GOAL_0\",\n \"HAS_RETENTION_TESTPOINT_RESET_0\",\n \"COVER_PRINT_TESTPOINT_HITS\",\n \"HAS_RETENTION_TESTPOINT_RESET_1\",\n \"HAS_RETENTION_TESTPOINT_GOAL_1\",\n \"system_verilog_testpoint\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 307,\n \"total_lines\": 451,\n \"cyclomatic_complexity\": 61,\n \"nesting_depth\": 38,\n \"operator_count\": 547\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "category": "multi_tool", "subcategory": "graph_extractor+static_analyzer", "difficulty": "compositional", "question_hash": "27040652606a", "stage1_target": "[{\"tool\": \"graph_extractor\", \"parameters\": {\"graph_type\": \"CDFG\"}}, {\"tool\": \"static_analyzer\", \"parameters\": {\"analysis_type\": \"full\"}}]", "stage2_context": "Question: For NV_NVDLA_CSC_slcg, how does the logic seen in the CDFG compare with the size of the source code? Specifically, how many OR and AND operators and clock-gate cells does the CDFG show, and how does that compare with the module's cyclomatic complexity and number of always blocks?\n\n[graph_extractor {\"graph_type\": \"CDFG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"CDFG\",\n...[3643 chars elided]...\n \"node_count\": 13,\n \"edge_count\": 16,\n \"graph_properties\": {\n \"node_types\": {\n \"$or\": 3,\n \"$and\": 1,\n \"NV_CLK_gate_power\": 1,\n \"port_input\": 7,\n \"port_output\": 1\n },\n \"avg_degree\": 1.23,\n \"module_name\": \"NV_NVDLA_CSC_slcg\"\n },\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"NV_NVDLA_CSC_slcg\",\n \"port_count\": {\n \"inputs\": 7,\n \"outputs\": 1,\n \"inouts\": 0,\n \"total\": 8\n },\n \"signal_count\": {\n \"wires\": 12,\n \"regs\": 11,\n \"parameters\": 0,\n \"total\": 23\n },\n \"always_blocks\": 10,\n \"assign_statements\": 5,\n \"instantiations\": [\n \"ASSOCIATE_TESTPOINT_NAME_GOAL_NUMBER\",\n \"SIMTOP_EOS_SIGNAL\",\n \"endif\",\n \"NV_CLK_gate_power\",\n \"FV_COVER_ON\",\n \"HAS_RETENTION_TESTPOINT_GOAL_0\",\n \"HAS_RETENTION_TESTPOINT_RESET_0\",\n \"COVER_PRINT_TESTPOINT_HITS\",\n \"HAS_RETENTION_TESTPOINT_RESET_1\",\n \"HAS_RETENTION_TESTPOINT_GOAL_1\",\n \"system_verilog_testpoint\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 307,\n \"total_lines\": 451,\n \"cyclomatic_complexity\": 61,\n \"nesting_depth\": 38,\n \"operator_count\": 547\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "plan_id": "a7578b330760", "design_id": "dcd632e5d83e", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/nvdla/hw", "commit": "8e06b1b9d85aab65b40d43d08eec5ea4681ff715", "path": "vmod/nvdla/csc/NV_NVDLA_CSC_slcg.v", "sha256": "bb6d9d2f872056689db94bc8bccbee6decdee45e0ae84d9e3fc8c62173a2b52f"}} {"question": "In NV_NVDLA_CSC_slcg, the DFG shows the clock-gating logic is built from just a handful of simple OR/AND operators around one clock-gate cell. Given that, how realistic is an area-targeted optimization that relies on aggressive operator sharing, and what trade-offs come with it?", "answer": "The DFG of NV_NVDLA_CSC_slcg has only 13 nodes and 16 edges: 3 $or nodes, 1 $and node and a single NV_CLK_gate_power cell, with no arithmetic operators. That means the area-targeted 'share -aggressive' step has almost nothing to share, so the estimated -15.0 area improvement is optimistic for this module. The trade-offs still apply, including an estimated +5.0 change in delay and the warning that 'Area optimization may increase delay'.", "source_file": "github_repos/nvdla_hw/vmod/nvdla/csc/NV_NVDLA_CSC_slcg.v", "module_name": "NV_NVDLA_CSC_slcg", "tool_name": "graph_extractor+optimization_advisor", "tool_parameters": [{"graph_type": "DFG"}, {"target_metric": "area"}], "tool_result": "[graph_extractor {\"graph_type\": \"DFG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"DFG\",\n...[3642 chars elided]...\n \"node_count\": 13,\n \"edge_count\": 16,\n \"graph_properties\": {\n \"node_types\": {\n \"$or\": 3,\n \"$and\": 1,\n \"NV_CLK_gate_power\": 1,\n \"port_input\": 7,\n \"port_output\": 1\n },\n \"avg_degree\": 1.23,\n \"module_name\": \"NV_NVDLA_CSC_slcg\"\n },\n \"error\": null\n}\n\n[optimization_advisor {\"target_metric\": \"area\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"area\",\n \"recommended_recipes\": [\n \"synth -top NV_NVDLA_CSC_slcg -flatten\",\n \"opt -full; share -aggressive; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean -purge\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"resource_sharing\",\n \"description\": \"Share arithmetic operators\",\n \"command\": \"share -aggressive\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": -15.0,\n \"delay\": 5.0,\n \"power\": -10.0\n },\n \"trade_offs\": [\n \"Area optimization may increase delay\",\n \"Aggressive sharing increases routing complexity\"\n ],\n \"error\": null\n}", "category": "multi_tool", "subcategory": "graph_extractor+optimization_advisor", "difficulty": "compositional", "question_hash": "4703154bb094", "stage1_target": "[{\"tool\": \"graph_extractor\", \"parameters\": {\"graph_type\": \"DFG\"}}, {\"tool\": \"optimization_advisor\", \"parameters\": {\"target_metric\": \"area\"}}]", "stage2_context": "Question: In NV_NVDLA_CSC_slcg, the DFG shows the clock-gating logic is built from just a handful of simple OR/AND operators around one clock-gate cell. Given that, how realistic is an area-targeted optimization that relies on aggressive operator sharing, and what trade-offs come with it?\n\n[graph_extractor {\"graph_type\": \"DFG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"DFG\",\n...[3642 chars elided]...\n \"node_count\": 13,\n \"edge_count\": 16,\n \"graph_properties\": {\n \"node_types\": {\n \"$or\": 3,\n \"$and\": 1,\n \"NV_CLK_gate_power\": 1,\n \"port_input\": 7,\n \"port_output\": 1\n },\n \"avg_degree\": 1.23,\n \"module_name\": \"NV_NVDLA_CSC_slcg\"\n },\n \"error\": null\n}\n\n[optimization_advisor {\"target_metric\": \"area\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"area\",\n \"recommended_recipes\": [\n \"synth -top NV_NVDLA_CSC_slcg -flatten\",\n \"opt -full; share -aggressive; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean -purge\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"resource_sharing\",\n \"description\": \"Share arithmetic operators\",\n \"command\": \"share -aggressive\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": -15.0,\n \"delay\": 5.0,\n \"power\": -10.0\n },\n \"trade_offs\": [\n \"Area optimization may increase delay\",\n \"Aggressive sharing increases routing complexity\"\n ],\n \"error\": null\n}", "plan_id": "8e665b8dd3ad", "design_id": "dcd632e5d83e", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/nvdla/hw", "commit": "8e06b1b9d85aab65b40d43d08eec5ea4681ff715", "path": "vmod/nvdla/csc/NV_NVDLA_CSC_slcg.v", "sha256": "bb6d9d2f872056689db94bc8bccbee6decdee45e0ae84d9e3fc8c62173a2b52f"}} {"question": "For NV_NVDLA_BDMA_gate, how many of its RTL signals actually survive into the gate-level netlist, and does that fit with how small the design is after medium-effort synthesis (cell count, area, and critical path delay)?", "answer": "In NV_NVDLA_BDMA_gate, only 11 of the 30 RTL signals map to the netlist and 19 are unmapped. Most of the unmapped ones are testpoint and monitor signals that get removed, which fits the small synthesized result: 6 cells (1 $_AND_, 1 $_NAND_, 3 $_NOR_, 1 NV_CLK_gate_power), an area of 6.0, and a critical path delay of 74.18.", "source_file": "github_repos/nvdla_hw/vmod/nvdla/bdma/NV_NVDLA_BDMA_gate.v", "module_name": "NV_NVDLA_BDMA_gate", "tool_name": "cross_stage_mapper+synthesis_tool", "tool_parameters": [{}, {"optimization_level": "medium"}], "tool_result": "[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"assert2slcg_disable_clock_gating_0\": [],\n \"testpoint_got_reset_testpoint_0_internal_nvdla_core_rstn_with_clock_testpoint_0_internal_nvdla_core_clk\": [],\n \"testpoint_0_count_0\": [],\n \"dla_clk_ovr_on_sync\": [\n \"dla_clk_ovr_on_sync\"\n ],\n \"csb2gate_slcg_en\": [\n \"csb2gate_slcg_en\"\n ],\n \"nvdla_core_clk_slcg_0_icg_override_to_gateable\": [],\n \"test\n...[1565 chars elided]...\n_count_0\",\n \"nvdla_core_clk_slcg_0_icg_override_to_gateable\",\n \"testpoint_0_internal_nvdla_core_clk\",\n \"nvdla_core_clk_slcg_0_icg_override_to_ungated\",\n \"testpoint_0_internal_nvdla_core_rstn\",\n \"nvdla_core_clk_slcg_0_icg_disable_eos\",\n \"done_monitor_0\",\n \"testpoint_1_count_0\",\n \"testpoint_1_internal_nvdla_core_clk\",\n \"testpoint_0_goal_0\",\n \"testpoint_1_goal_0\",\n \"testpoint_got_reset_testpoint_1_internal_nvdla_core_rstn_with_clock_testpoint_1_internal_nvdla_core_clk\",\n \"testpoint_1_internal_nvdla_core_rstn\",\n \"testpoint_0_goal_0_active\",\n \"testpoint_1_goal_0_active\",\n \"nvdla_core_clk_slcg_0_end_of_sim_clock_enable\",\n \"monitor_icg_summary_0\"\n ],\n \"mapping_statistics\": {\n \"rtl_signals\": 30,\n \"netlist_wires\": 25,\n \"netlist_cells\": 0,\n \"mapped_signals\": 11,\n \"unmapped_signals\": 19\n },\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 6.0,\n \"delay\": 74.18,\n \"power\": 0.006,\n \"gate_count\": 6,\n \"cell_breakdown\": {\n \"$_AND_\": 1,\n \"$_NAND_\": 1,\n \"$_NOR_\": 3,\n \"NV_CLK_gate_power\": 1\n },\n \"wire_count\": 14,\n \"wire_bits\": 14,\n \"critical_path_estimate\": 74.18,\n...[1147 chars elided]...\n \"error\": null\n}", "category": "multi_tool", "subcategory": "cross_stage_mapper+synthesis_tool", "difficulty": "compositional", "question_hash": "81bc06bfff38", "stage1_target": "[{\"tool\": \"cross_stage_mapper\", \"parameters\": {}}, {\"tool\": \"synthesis_tool\", \"parameters\": {\"optimization_level\": \"medium\"}}]", "stage2_context": "Question: For NV_NVDLA_BDMA_gate, how many of its RTL signals actually survive into the gate-level netlist, and does that fit with how small the design is after medium-effort synthesis (cell count, area, and critical path delay)?\n\n[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"assert2slcg_disable_clock_gating_0\": [],\n \"testpoint_got_reset_testpoint_0_internal_nvdla_core_rstn_with_clock_testpoint_0_internal_nvdla_core_clk\": [],\n \"testpoint_0_count_0\": [],\n \"dla_clk_ovr_on_sync\": [\n \"dla_clk_ovr_on_sync\"\n ],\n \"csb2gate_slcg_en\": [\n \"csb2gate_slcg_en\"\n ],\n \"nvdla_core_clk_slcg_0_icg_override_to_gateable\": [],\n \"test\n...[1565 chars elided]...\n_count_0\",\n \"nvdla_core_clk_slcg_0_icg_override_to_gateable\",\n \"testpoint_0_internal_nvdla_core_clk\",\n \"nvdla_core_clk_slcg_0_icg_override_to_ungated\",\n \"testpoint_0_internal_nvdla_core_rstn\",\n \"nvdla_core_clk_slcg_0_icg_disable_eos\",\n \"done_monitor_0\",\n \"testpoint_1_count_0\",\n \"testpoint_1_internal_nvdla_core_clk\",\n \"testpoint_0_goal_0\",\n \"testpoint_1_goal_0\",\n \"testpoint_got_reset_testpoint_1_internal_nvdla_core_rstn_with_clock_testpoint_1_internal_nvdla_core_clk\",\n \"testpoint_1_internal_nvdla_core_rstn\",\n \"testpoint_0_goal_0_active\",\n \"testpoint_1_goal_0_active\",\n \"nvdla_core_clk_slcg_0_end_of_sim_clock_enable\",\n \"monitor_icg_summary_0\"\n ],\n \"mapping_statistics\": {\n \"rtl_signals\": 30,\n \"netlist_wires\": 25,\n \"netlist_cells\": 0,\n \"mapped_signals\": 11,\n \"unmapped_signals\": 19\n },\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 6.0,\n \"delay\": 74.18,\n \"power\": 0.006,\n \"gate_count\": 6,\n \"cell_breakdown\": {\n \"$_AND_\": 1,\n \"$_NAND_\": 1,\n \"$_NOR_\": 3,\n \"NV_CLK_gate_power\": 1\n },\n \"wire_count\": 14,\n \"wire_bits\": 14,\n \"critical_path_estimate\": 74.18,\n...[1147 chars elided]...\n \"error\": null\n}", "plan_id": "4bf9bcfac63f", "design_id": "e04fbea127d7", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/nvdla/hw", "commit": "8e06b1b9d85aab65b40d43d08eec5ea4681ff715", "path": "vmod/nvdla/bdma/NV_NVDLA_BDMA_gate.v", "sha256": "d3b6580f9af02e50d4be48c76573156048eed7143b40e93b2e71b41580c9be70"}} {"question": "In NV_NVDLA_CDP_RDMA_REG_dual, the AIG has a certain number of flip-flop nodes, and the source code declares a certain number of regs. How do those two figures compare, and what do they suggest about how the register fields are packed into bits?", "answer": "The AIG for NV_NVDLA_CDP_RDMA_REG_dual has 188 $_DFFE_PN0P_ flip-flop nodes, but the source code declares only 31 regs. So most regs must be multi-bit configuration fields (for example src_base_addr_low, src_line_stride and width) that break down into many single-bit enable flops, sitting alongside 1531 AND and 2382 NOT gates.", "source_file": "github_repos/nvdla_hw/vmod/nvdla/cdp/NV_NVDLA_CDP_RDMA_REG_dual.v", "module_name": "NV_NVDLA_CDP_RDMA_REG_dual", "tool_name": "graph_extractor+static_analyzer", "tool_parameters": [{"graph_type": "AIG"}, {"analysis_type": "full"}], "tool_result": "[graph_extractor {\"graph_type\": \"AIG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"AIG\",\n...[33434 chars elided]...\n \"node_count\": 4121,\n \"edge_count\": 10297,\n \"graph_properties\": {\n \"node_types\": {\n \"$_AND_\": 1531,\n \"$_NOT_\": 2382,\n \"$_DFFE_PN0P_\": 188,\n \"port_output\": 13,\n \"port_input\": 7\n },\n \"avg_degree\": 2.5,\n \"module_name\": \"NV_NVDLA_CDP_RDMA_REG_dual\"\n },\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"NV_NVDLA_CDP_RDMA_REG_dual\",\n \"port_count\": {\n \"inputs\": 7,\n \"outputs\": 13,\n \"inouts\": 0,\n \"total\": 20\n },\n \"signal_count\": {\n \"wires\": 34,\n \"regs\": 31,\n \"parameters\": 0,\n \"total\": 65\n },\n \"always_blocks\": 3,\n \"assign_statements\": 20,\n \"instantiations\": [\n \"src_base_addr_low\",\n \"cya\",\n \"src_base_addr_high\",\n \"src_ram_type\",\n \"src_line_stride\",\n \"dma_en\",\n \"height\",\n \"Unknown\",\n \"channel\",\n \"input_data\",\n \"width\",\n \"src_surface_stride\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 271,\n \"total_lines\": 355,\n \"cyclomatic_complexity\": 43,\n \"nesting_depth\": 41,\n \"operator_count\": 518\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "category": "multi_tool", "subcategory": "graph_extractor+static_analyzer", "difficulty": "compositional", "question_hash": "f91deec77735", "stage1_target": "[{\"tool\": \"graph_extractor\", \"parameters\": {\"graph_type\": \"AIG\"}}, {\"tool\": \"static_analyzer\", \"parameters\": {\"analysis_type\": \"full\"}}]", "stage2_context": "Question: In NV_NVDLA_CDP_RDMA_REG_dual, the AIG has a certain number of flip-flop nodes, and the source code declares a certain number of regs. How do those two figures compare, and what do they suggest about how the register fields are packed into bits?\n\n[graph_extractor {\"graph_type\": \"AIG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"AIG\",\n...[33434 chars elided]...\n \"node_count\": 4121,\n \"edge_count\": 10297,\n \"graph_properties\": {\n \"node_types\": {\n \"$_AND_\": 1531,\n \"$_NOT_\": 2382,\n \"$_DFFE_PN0P_\": 188,\n \"port_output\": 13,\n \"port_input\": 7\n },\n \"avg_degree\": 2.5,\n \"module_name\": \"NV_NVDLA_CDP_RDMA_REG_dual\"\n },\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"NV_NVDLA_CDP_RDMA_REG_dual\",\n \"port_count\": {\n \"inputs\": 7,\n \"outputs\": 13,\n \"inouts\": 0,\n \"total\": 20\n },\n \"signal_count\": {\n \"wires\": 34,\n \"regs\": 31,\n \"parameters\": 0,\n \"total\": 65\n },\n \"always_blocks\": 3,\n \"assign_statements\": 20,\n \"instantiations\": [\n \"src_base_addr_low\",\n \"cya\",\n \"src_base_addr_high\",\n \"src_ram_type\",\n \"src_line_stride\",\n \"dma_en\",\n \"height\",\n \"Unknown\",\n \"channel\",\n \"input_data\",\n \"width\",\n \"src_surface_stride\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 271,\n \"total_lines\": 355,\n \"cyclomatic_complexity\": 43,\n \"nesting_depth\": 41,\n \"operator_count\": 518\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "plan_id": "62580eae56ea", "design_id": "e0cf49f6c4d7", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/nvdla/hw", "commit": "8e06b1b9d85aab65b40d43d08eec5ea4681ff715", "path": "vmod/nvdla/cdp/NV_NVDLA_CDP_RDMA_REG_dual.v", "sha256": "544c84aa7bc3e385e2b26df9537cc367512204ca16dbd20d6eecf85958cf2788"}} {"question": "For sirv_clint, do the register counts in the AIG graph match those in the medium-effort synthesized netlist, and how well do the RTL signals trace to that netlist, given the reported area and delay?", "answer": "In sirv_clint, the AIG graph and the medium-effort synthesized netlist have the same registers: 65 $_DFFE_PP0P_ and 64 $_DFFE_PP1P_ flops in each. The AIG has 9744 nodes, including 4119 $_AND_ and 5451 $_NOT_, and synthesis reduces this to 1357 gates with an area of 1426.5 and a delay of 400.74. RTL-to-netlist mapping is fairly good but not complete: the alignment score is 86.12, with 273 RTL signals mapped and 44 unmapped (for example timecmp_0_0 and GEN_62).", "source_file": "github_repos/riscv-mcu_e203_hbirdv2/rtl/e203/perips/sirv_clint.v", "module_name": "sirv_clint", "tool_name": "cross_stage_mapper+graph_extractor+synthesis_tool", "tool_parameters": [{}, {"graph_type": "AIG"}, {"optimization_level": "medium"}], "tool_result": "[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"T_1093_4\": [\n \"T_1093_4\"\n ],\n \"T_1574_0\": [\n \"T_1574_0\"\n ],\n \"T_1472_4\": [\n \"T_1472_4\"\n ],\n \"T_1861_4\": [\n \"T_1861_4\"\n ],\n \"GEN_58\": [\n \"GEN_58\"\n ],\n \"T_1756\": [\n \"T_\n...[13035 chars elided]...\n],\n \"GEN_19\": [\n \"GEN_19\"\n ]\n },\n \"alignment_score\": 86.12,\n \"unmapped_elements\": [\n \"T_1058_0\",\n \"T_1058_1\",\n \"GEN_7\",\n \"GEN_12\",\n \"timecmp_0_0\",\n \"GEN_62\",\n \"T_1088_0\",\n \"T_1710\",\n \"GEN_65\",\n \"GEN_11\",\n \"T_1088_3\",\n \"T_1658\",\n \"T_1088_1\",\n \"GEN_64\",\n \"T_1088_4\",\n \"T_1660\",\n \"T_1720\",\n \"T_1650\",\n \"GEN_9\",\n \"GEN_67\"\n ],\n \"mapping_statistics\": {\n \"rtl_signals\": 317,\n \"netlist_wires\": 2578,\n \"netlist_cells\": 0,\n \"mapped_signals\": 273,\n \"unmapped_signals\": 44\n },\n \"error\": null\n}\n\n[graph_extractor {\"graph_type\": \"AIG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"AIG\",\n...[34240 chars elided]...\n \"node_count\": 9744,\n \"edge_count\": 23904,\n \"graph_properties\": {\n \"node_types\": {\n \"$_AND_\": 4119,\n \"$_NOT_\": 5451,\n \"$_DFFE_PP0P_\": 65,\n \"$_DFFE_PP1P_\": 64,\n \"port_input\": 23,\n \"port_output\": 22\n },\n \"avg_degree\": 2.45,\n \"module_name\": \"sirv_clint\"\n },\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 1426.5,\n \"delay\": 400.74,\n \"power\": 1.357,\n \"gate_count\": 1357,\n \"cell_breakdown\": {\n \"$_ANDNOT_\": 64,\n \"$_AND_\": 295,\n \"$_DFFE_PP0P_\": 65,\n \"$_DFFE_PP1P_\": 64,\n \"$_NAND_\": 549,\n \"$_NOR_\": 15,\n \"$_NOT_\": 65,\n \"$_ORNOT_\": 10\n...[1779 chars elided]...\n \"error\": null\n}", "category": "multi_tool", "subcategory": "cross_stage_mapper+graph_extractor+synthesis_tool", "difficulty": "compositional", "question_hash": "986ad2aa922c", "stage1_target": "[{\"tool\": \"cross_stage_mapper\", \"parameters\": {}}, {\"tool\": \"graph_extractor\", \"parameters\": {\"graph_type\": \"AIG\"}}, {\"tool\": \"synthesis_tool\", \"parameters\": {\"optimization_level\": \"medium\"}}]", "stage2_context": "Question: For sirv_clint, do the register counts in the AIG graph match those in the medium-effort synthesized netlist, and how well do the RTL signals trace to that netlist, given the reported area and delay?\n\n[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"T_1093_4\": [\n \"T_1093_4\"\n ],\n \"T_1574_0\": [\n \"T_1574_0\"\n ],\n \"T_1472_4\": [\n \"T_1472_4\"\n ],\n \"T_1861_4\": [\n \"T_1861_4\"\n ],\n \"GEN_58\": [\n \"GEN_58\"\n ],\n \"T_1756\": [\n \"T_\n...[13035 chars elided]...\n],\n \"GEN_19\": [\n \"GEN_19\"\n ]\n },\n \"alignment_score\": 86.12,\n \"unmapped_elements\": [\n \"T_1058_0\",\n \"T_1058_1\",\n \"GEN_7\",\n \"GEN_12\",\n \"timecmp_0_0\",\n \"GEN_62\",\n \"T_1088_0\",\n \"T_1710\",\n \"GEN_65\",\n \"GEN_11\",\n \"T_1088_3\",\n \"T_1658\",\n \"T_1088_1\",\n \"GEN_64\",\n \"T_1088_4\",\n \"T_1660\",\n \"T_1720\",\n \"T_1650\",\n \"GEN_9\",\n \"GEN_67\"\n ],\n \"mapping_statistics\": {\n \"rtl_signals\": 317,\n \"netlist_wires\": 2578,\n \"netlist_cells\": 0,\n \"mapped_signals\": 273,\n \"unmapped_signals\": 44\n },\n \"error\": null\n}\n\n[graph_extractor {\"graph_type\": \"AIG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"AIG\",\n...[34240 chars elided]...\n \"node_count\": 9744,\n \"edge_count\": 23904,\n \"graph_properties\": {\n \"node_types\": {\n \"$_AND_\": 4119,\n \"$_NOT_\": 5451,\n \"$_DFFE_PP0P_\": 65,\n \"$_DFFE_PP1P_\": 64,\n \"port_input\": 23,\n \"port_output\": 22\n },\n \"avg_degree\": 2.45,\n \"module_name\": \"sirv_clint\"\n },\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 1426.5,\n \"delay\": 400.74,\n \"power\": 1.357,\n \"gate_count\": 1357,\n \"cell_breakdown\": {\n \"$_ANDNOT_\": 64,\n \"$_AND_\": 295,\n \"$_DFFE_PP0P_\": 65,\n \"$_DFFE_PP1P_\": 64,\n \"$_NAND_\": 549,\n \"$_NOR_\": 15,\n \"$_NOT_\": 65,\n \"$_ORNOT_\": 10\n...[1779 chars elided]...\n \"error\": null\n}", "plan_id": "ca5ee144f4e1", "design_id": "de3cfc702541", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 3, "ctx_cap": 3300, "source": {"repository": "https://github.com/riscv-mcu/e203_hbirdv2", "commit": "9f3e34f337f5d0a1236a285871ffa2032491617a", "path": "rtl/e203/perips/sirv_clint.v", "sha256": "a2009569b93a9d549d2b4b1f791b43e05b5a96645501126b37b8f1a1711b1444"}} {"question": "For NV_NVDLA_GLB_CSB_reg, about 20 RTL signals, mostly the *_done_mask0/1 interrupt mask bits, don't map to any netlist wire. Does that line up with the number of flip-flops left after medium-effort synthesis? Summarize the RTL-to-netlist alignment together with the synthesized area and delay.", "answer": "NV_NVDLA_GLB_CSB_reg has an RTL-to-netlist alignment score of 72.22, with 52 of 72 RTL signals mapped and 20 unmapped, mostly the done-mask registers such as cdma_wt_done_mask0 and bdma_done_mask1. This lines up with medium-effort synthesis keeping only 16 $_DFFE_PN0P_ flip-flops among 122 cells. The synthesized design has an area of 122.0 and a critical-path delay of 185.66.", "source_file": "github_repos/nvdla_hw/vmod/nvdla/glb/NV_NVDLA_GLB_CSB_reg.v", "module_name": "NV_NVDLA_GLB_CSB_reg", "tool_name": "cross_stage_mapper+synthesis_tool", "tool_parameters": [{}, {"optimization_level": "medium"}], "tool_result": "[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"cdma_wt_done_mask0\": [],\n \"rubik_done_set0\": [\n \"rubik_done_set0\"\n ],\n \"cdma_wt_done_mask1\": [],\n \"nvdla_core_clk\": [\n \"nvdla_core_clk\"\n ],\n \"cacc_done_mask1\": [],\n \"pdp_done_status0\": [\n \"pdp_done_status0\"\n ],\n \"reg_rd_data\": [\n \"reg_rd_data\"\n ],\n \"nvdla_glb_s_intr_mask_0_wren\": [\n \"nvdla_glb_s_intr_mask_0_wren\"\n \n...[3417 chars elided]...\n],\n \"cacc_done_status0\": [\n \"cacc_done_status0\"\n ],\n \"sdp_done_set0_trigger\": [\n \"sdp_done_set0_trigger\"\n ]\n },\n \"alignment_score\": 72.22,\n \"unmapped_elements\": [\n \"cdma_wt_done_mask0\",\n \"cdma_wt_done_mask1\",\n \"cacc_done_mask1\",\n \"sdp_done_mask1\",\n \"sdp_done_mask0\",\n \"cdp_done_mask0\",\n \"pdp_done_mask1\",\n \"arreggen_dump\",\n \"rubik_done_mask0\",\n \"pdp_done_mask0\",\n \"cdma_dat_done_mask0\",\n \"cdp_done_mask1\",\n \"cacc_done_mask0\",\n \"arreggen_abort_on_rowr\",\n \"cdma_dat_done_mask1\",\n \"bdma_done_mask1\",\n \"arreggen_abort_on_invalid_wr\",\n \"nvdla_glb_s_nvdla_hw_version_0_wren\",\n \"rubik_done_mask1\",\n \"bdma_done_mask0\"\n ],\n \"mapping_statistics\": {\n \"rtl_signals\": 72,\n \"netlist_wires\": 452,\n \"netlist_cells\": 0,\n \"mapped_signals\": 52,\n \"unmapped_signals\": 20\n },\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 122.0,\n \"delay\": 185.66,\n \"power\": 0.122,\n \"gate_count\": 122,\n \"cell_breakdown\": {\n \"$_ANDNOT_\": 2,\n \"$_AND_\": 32,\n \"$_DFFE_PN0P_\": 16,\n \"$_NAND_\": 65,\n \"$_NOR_\": 5,\n \"$_NOT_\": 2\n },\n \"wire_count\": 152,\n \"wire_bits\": 413,\n \"critical_path_estimate\": 185.66,\n...[1199 chars elided]...\n \"error\": null\n}", "category": "multi_tool", "subcategory": "cross_stage_mapper+synthesis_tool", "difficulty": "compositional", "question_hash": "0aa7e0ef5424", "stage1_target": "[{\"tool\": \"cross_stage_mapper\", \"parameters\": {}}, {\"tool\": \"synthesis_tool\", \"parameters\": {\"optimization_level\": \"medium\"}}]", "stage2_context": "Question: For NV_NVDLA_GLB_CSB_reg, about 20 RTL signals, mostly the *_done_mask0/1 interrupt mask bits, don't map to any netlist wire. Does that line up with the number of flip-flops left after medium-effort synthesis? Summarize the RTL-to-netlist alignment together with the synthesized area and delay.\n\n[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"cdma_wt_done_mask0\": [],\n \"rubik_done_set0\": [\n \"rubik_done_set0\"\n ],\n \"cdma_wt_done_mask1\": [],\n \"nvdla_core_clk\": [\n \"nvdla_core_clk\"\n ],\n \"cacc_done_mask1\": [],\n \"pdp_done_status0\": [\n \"pdp_done_status0\"\n ],\n \"reg_rd_data\": [\n \"reg_rd_data\"\n ],\n \"nvdla_glb_s_intr_mask_0_wren\": [\n \"nvdla_glb_s_intr_mask_0_wren\"\n \n...[3417 chars elided]...\n],\n \"cacc_done_status0\": [\n \"cacc_done_status0\"\n ],\n \"sdp_done_set0_trigger\": [\n \"sdp_done_set0_trigger\"\n ]\n },\n \"alignment_score\": 72.22,\n \"unmapped_elements\": [\n \"cdma_wt_done_mask0\",\n \"cdma_wt_done_mask1\",\n \"cacc_done_mask1\",\n \"sdp_done_mask1\",\n \"sdp_done_mask0\",\n \"cdp_done_mask0\",\n \"pdp_done_mask1\",\n \"arreggen_dump\",\n \"rubik_done_mask0\",\n \"pdp_done_mask0\",\n \"cdma_dat_done_mask0\",\n \"cdp_done_mask1\",\n \"cacc_done_mask0\",\n \"arreggen_abort_on_rowr\",\n \"cdma_dat_done_mask1\",\n \"bdma_done_mask1\",\n \"arreggen_abort_on_invalid_wr\",\n \"nvdla_glb_s_nvdla_hw_version_0_wren\",\n \"rubik_done_mask1\",\n \"bdma_done_mask0\"\n ],\n \"mapping_statistics\": {\n \"rtl_signals\": 72,\n \"netlist_wires\": 452,\n \"netlist_cells\": 0,\n \"mapped_signals\": 52,\n \"unmapped_signals\": 20\n },\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 122.0,\n \"delay\": 185.66,\n \"power\": 0.122,\n \"gate_count\": 122,\n \"cell_breakdown\": {\n \"$_ANDNOT_\": 2,\n \"$_AND_\": 32,\n \"$_DFFE_PN0P_\": 16,\n \"$_NAND_\": 65,\n \"$_NOR_\": 5,\n \"$_NOT_\": 2\n },\n \"wire_count\": 152,\n \"wire_bits\": 413,\n \"critical_path_estimate\": 185.66,\n...[1199 chars elided]...\n \"error\": null\n}", "plan_id": "c6d160bf1a86", "design_id": "e0edd5af2173", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/nvdla/hw", "commit": "8e06b1b9d85aab65b40d43d08eec5ea4681ff715", "path": "vmod/nvdla/glb/NV_NVDLA_GLB_CSB_reg.v", "sha256": "d4de7206e90ff58f7cb47960e11cede84c3d634edad65209682ed9d1e3bcf626"}} {"question": "For the dummy module, the gate-level source instantiates several sky130 standard cells. Which of them are still present after medium-effort synthesis, and what area and delay result? Given that, how much is an area-targeted optimization flow with aggressive resource sharing likely to help, and what does it estimate it would cost in delay?", "answer": "The dummy module has 4 inputs, 6 outputs and 13 wires, and it instantiates sky130_fd_sc_hd__xnor2_1, sky130_fd_sc_hd__and2_1 and sky130_fd_sc_hd__buf_4. After synthesis only 3 cells remain (1 sky130_fd_sc_hd__and2_1 and 2 sky130_fd_sc_hd__buf_4), so the xnor2 is gone, with an area of 3.0 and a delay of 69.52. The area-targeted flow estimates an area change of -15.0 at the cost of a 5.0 delay increase, but the netlist has only buffers and one AND gate and no arithmetic operators, so 'share -aggressive' has little to share and the real gain is likely small.", "source_file": "github_repos/The-OpenROAD-Project_OpenROAD/src/ifp/test/upf/mpd_top.v", "module_name": "dummy", "tool_name": "optimization_advisor+static_analyzer+synthesis_tool", "tool_parameters": [{"target_metric": "area"}, {"analysis_type": "full"}, {"optimization_level": "medium"}], "tool_result": "[optimization_advisor {\"target_metric\": \"area\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"area\",\n \"recommended_recipes\": [\n \"synth -top dummy -flatten\",\n \"opt -full; share -aggressive; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean -purge\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"resource_sharing\",\n \"description\": \"Share arithmetic operators\",\n \"command\": \"share -aggressive\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": -15.0,\n \"delay\": 5.0,\n \"power\": -10.0\n },\n \"trade_offs\": [\n \"Area optimization may increase delay\",\n \"Aggressive sharing increases routing complexity\"\n ],\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"dummy\",\n \"port_count\": {\n \"inputs\": 4,\n \"outputs\": 6,\n \"inouts\": 0,\n \"total\": 10\n },\n \"signal_count\": {\n \"wires\": 13,\n \"regs\": 0,\n \"parameters\": 0,\n \"total\": 13\n },\n \"always_blocks\": 0,\n \"assign_statements\": 0,\n \"instantiations\": [\n \"sky130_fd_sc_hd__xnor2_1\",\n \"sky130_fd_sc_hd__and2_1\",\n \"sky130_fd_sc_hd__buf_4\",\n \"dummy\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 89,\n \"total_lines\": 92,\n \"cyclomatic_complexity\": 1,\n \"nesting_depth\": 0,\n \"operator_count\": 9\n },\n \"lint_warnings\": [],\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 3.0,\n \"delay\": 69.52,\n \"power\": 0.003,\n \"gate_count\": 3,\n \"cell_breakdown\": {\n \"sky130_fd_sc_hd__and2_1\": 1,\n \"sky130_fd_sc_hd__buf_4\": 2\n },\n \"wire_count\": 5,\n \"wire_bits\": 5,\n \"critical_path_estimate\": 69.52,\n...[1574 chars elided]...\n \"error\": null\n}", "category": "multi_tool", "subcategory": "optimization_advisor+static_analyzer+synthesis_tool", "difficulty": "compositional", "question_hash": "e729f94a99c4", "stage1_target": "[{\"tool\": \"optimization_advisor\", \"parameters\": {\"target_metric\": \"area\"}}, {\"tool\": \"static_analyzer\", \"parameters\": {\"analysis_type\": \"full\"}}, {\"tool\": \"synthesis_tool\", \"parameters\": {\"optimization_level\": \"medium\"}}]", "stage2_context": "Question: For the dummy module, the gate-level source instantiates several sky130 standard cells. Which of them are still present after medium-effort synthesis, and what area and delay result? Given that, how much is an area-targeted optimization flow with aggressive resource sharing likely to help, and what does it estimate it would cost in delay?\n\n[optimization_advisor {\"target_metric\": \"area\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"area\",\n \"recommended_recipes\": [\n \"synth -top dummy -flatten\",\n \"opt -full; share -aggressive; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean -purge\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"resource_sharing\",\n \"description\": \"Share arithmetic operators\",\n \"command\": \"share -aggressive\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": -15.0,\n \"delay\": 5.0,\n \"power\": -10.0\n },\n \"trade_offs\": [\n \"Area optimization may increase delay\",\n \"Aggressive sharing increases routing complexity\"\n ],\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"dummy\",\n \"port_count\": {\n \"inputs\": 4,\n \"outputs\": 6,\n \"inouts\": 0,\n \"total\": 10\n },\n \"signal_count\": {\n \"wires\": 13,\n \"regs\": 0,\n \"parameters\": 0,\n \"total\": 13\n },\n \"always_blocks\": 0,\n \"assign_statements\": 0,\n \"instantiations\": [\n \"sky130_fd_sc_hd__xnor2_1\",\n \"sky130_fd_sc_hd__and2_1\",\n \"sky130_fd_sc_hd__buf_4\",\n \"dummy\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 89,\n \"total_lines\": 92,\n \"cyclomatic_complexity\": 1,\n \"nesting_depth\": 0,\n \"operator_count\": 9\n },\n \"lint_warnings\": [],\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 3.0,\n \"delay\": 69.52,\n \"power\": 0.003,\n \"gate_count\": 3,\n \"cell_breakdown\": {\n \"sky130_fd_sc_hd__and2_1\": 1,\n \"sky130_fd_sc_hd__buf_4\": 2\n },\n \"wire_count\": 5,\n \"wire_bits\": 5,\n \"critical_path_estimate\": 69.52,\n...[1574 chars elided]...\n \"error\": null\n}", "plan_id": "8c9d68cc98f0", "design_id": "e11aa5dcc864", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 3, "ctx_cap": 3300, "source": {"repository": "https://github.com/The-OpenROAD-Project/OpenROAD", "commit": "3e3e483a4e3f98e2b5470b272040699de6dedbee", "path": "src/ifp/test/upf/mpd_top.v", "sha256": "1bb7b6b0f15ff1ebbd83a87b10a6f466907b91eded8116813dc98d922a0fcd95"}} {"question": "For NV_NVDLA_sync3d, how well does the RTL line up with the netlist, given how much randomization and simulation-only logic the RTL appears to contain? Please connect the RTL-to-netlist alignment and the mapped/unmapped signal counts to the module's register count and code complexity.", "answer": "NV_NVDLA_sync3d has an alignment score of only 30.56, with 11 mapped signals and 25 unmapped out of 36 RTL signals, and most of the unmapped ones are randomization items such as RandSyncBusRand and prand_local_seed1. That fits a module with 22 regs, 4 always blocks, a cyclomatic complexity of 39 and a nesting depth of 26, which points to a lot of verification-only behavioral code that doesn't become netlist logic.", "source_file": "github_repos/nvdla_hw/vmod/nvdla/car/NV_NVDLA_sync3d.v", "module_name": "NV_NVDLA_sync3d", "tool_name": "cross_stage_mapper+static_analyzer", "tool_parameters": [{}, {"analysis_type": "full"}], "tool_result": "[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"prand_initialized0\": [],\n \"RandSyncBusDelta\": [],\n \"RandSyncBusKnown\": [],\n \"RandSyncBusPipe\": [],\n \"RandSyncSnap\": [],\n \"dft_xclamp_hold_mux_s_sync_i\": [\n \"dft_xclamp_hold_mux_s_sync_i\"\n ],\n \"RandSyncBusPick\": [],\n \"RandSyncEnable\": [],\n \"dft_xclamp_hold_mux_i1_sync_i\": [\n \"dft_xclamp_hold_mux_i1_sync_i\"\n ],\n \"RandSyncBusRand\": []\n...[888 chars elided]...\nal_seed0\": [],\n \"bus\": [\n \"sync_ibus\",\n \"sync_bbus\",\n \"sync_ibus_preDFTxclamp\",\n \"sync_rbus\",\n \"sync_sbus\"\n ],\n \"RandSyncDiff\": [],\n \"RandSyncBusNext\": []\n },\n \"alignment_score\": 30.56,\n \"unmapped_elements\": [\n \"prand_initialized0\",\n \"RandSyncBusDelta\",\n \"RandSyncBusKnown\",\n \"RandSyncBusPipe\",\n \"RandSyncSnap\",\n \"RandSyncBusPick\",\n \"RandSyncEnable\",\n \"RandSyncBusRand\",\n \"RandSyncTaskBusPrev\",\n \"RandSyncBusEnable\",\n \"diff\",\n \"min\",\n \"prand_local_seed1\",\n \"prand_no_rollpli0\",\n \"max\",\n \"RandSyncBusCurr\",\n \"RandSyncBitEnable\",\n \"prand_initialized1\",\n \"RandSyncTaskBusCurr\",\n \"prand_no_rollpli1\"\n ],\n \"mapping_statistics\": {\n \"rtl_signals\": 36,\n \"netlist_wires\": 10,\n \"netlist_cells\": 0,\n \"mapped_signals\": 11,\n \"unmapped_signals\": 25\n },\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"NV_NVDLA_sync3d\",\n \"port_count\": {\n \"inputs\": 10,\n \"outputs\": 3,\n \"inouts\": 0,\n \"total\": 13\n },\n \"signal_count\": {\n \"wires\": 7,\n \"regs\": 22,\n \"parameters\": 0,\n \"total\": 29\n },\n \"always_blocks\": 4,\n \"assign_statements\": 5,\n \"instantiations\": [\n \"sync3d\",\n \"random\",\n \"to\",\n \"known\",\n \"MUX2HDD2\",\n \"bump\",\n \"PRAND_VERILOG\",\n \"rand\",\n \"delta\",\n \"NV_BLKBOX_SRC0\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 236,\n \"total_lines\": 325,\n \"cyclomatic_complexity\": 39,\n \"nesting_depth\": 26,\n \"operator_count\": 352\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "category": "multi_tool", "subcategory": "cross_stage_mapper+static_analyzer", "difficulty": "compositional", "question_hash": "273dd0df75f2", "stage1_target": "[{\"tool\": \"cross_stage_mapper\", \"parameters\": {}}, {\"tool\": \"static_analyzer\", \"parameters\": {\"analysis_type\": \"full\"}}]", "stage2_context": "Question: For NV_NVDLA_sync3d, how well does the RTL line up with the netlist, given how much randomization and simulation-only logic the RTL appears to contain? Please connect the RTL-to-netlist alignment and the mapped/unmapped signal counts to the module's register count and code complexity.\n\n[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"prand_initialized0\": [],\n \"RandSyncBusDelta\": [],\n \"RandSyncBusKnown\": [],\n \"RandSyncBusPipe\": [],\n \"RandSyncSnap\": [],\n \"dft_xclamp_hold_mux_s_sync_i\": [\n \"dft_xclamp_hold_mux_s_sync_i\"\n ],\n \"RandSyncBusPick\": [],\n \"RandSyncEnable\": [],\n \"dft_xclamp_hold_mux_i1_sync_i\": [\n \"dft_xclamp_hold_mux_i1_sync_i\"\n ],\n \"RandSyncBusRand\": []\n...[888 chars elided]...\nal_seed0\": [],\n \"bus\": [\n \"sync_ibus\",\n \"sync_bbus\",\n \"sync_ibus_preDFTxclamp\",\n \"sync_rbus\",\n \"sync_sbus\"\n ],\n \"RandSyncDiff\": [],\n \"RandSyncBusNext\": []\n },\n \"alignment_score\": 30.56,\n \"unmapped_elements\": [\n \"prand_initialized0\",\n \"RandSyncBusDelta\",\n \"RandSyncBusKnown\",\n \"RandSyncBusPipe\",\n \"RandSyncSnap\",\n \"RandSyncBusPick\",\n \"RandSyncEnable\",\n \"RandSyncBusRand\",\n \"RandSyncTaskBusPrev\",\n \"RandSyncBusEnable\",\n \"diff\",\n \"min\",\n \"prand_local_seed1\",\n \"prand_no_rollpli0\",\n \"max\",\n \"RandSyncBusCurr\",\n \"RandSyncBitEnable\",\n \"prand_initialized1\",\n \"RandSyncTaskBusCurr\",\n \"prand_no_rollpli1\"\n ],\n \"mapping_statistics\": {\n \"rtl_signals\": 36,\n \"netlist_wires\": 10,\n \"netlist_cells\": 0,\n \"mapped_signals\": 11,\n \"unmapped_signals\": 25\n },\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"NV_NVDLA_sync3d\",\n \"port_count\": {\n \"inputs\": 10,\n \"outputs\": 3,\n \"inouts\": 0,\n \"total\": 13\n },\n \"signal_count\": {\n \"wires\": 7,\n \"regs\": 22,\n \"parameters\": 0,\n \"total\": 29\n },\n \"always_blocks\": 4,\n \"assign_statements\": 5,\n \"instantiations\": [\n \"sync3d\",\n \"random\",\n \"to\",\n \"known\",\n \"MUX2HDD2\",\n \"bump\",\n \"PRAND_VERILOG\",\n \"rand\",\n \"delta\",\n \"NV_BLKBOX_SRC0\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 236,\n \"total_lines\": 325,\n \"cyclomatic_complexity\": 39,\n \"nesting_depth\": 26,\n \"operator_count\": 352\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "plan_id": "129b8f7ae103", "design_id": "e178936e7c2a", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/nvdla/hw", "commit": "8e06b1b9d85aab65b40d43d08eec5ea4681ff715", "path": "vmod/nvdla/car/NV_NVDLA_sync3d.v", "sha256": "5dd38448b07ac711dd00b11311b20dfc1070303c0b82df46fa1750527bac1b5c"}} {"question": "For module top, the RTL-to-netlist mapping shows the signals in1 and out1 carried straight through with no logic cells. Given that, how much of the suggested power optimization, which projects a power change along with area and delay penalties, is actually likely to help?", "answer": "Module top maps fully, with an alignment score of 100.0, 2 of 2 RTL signals mapped and 0 netlist cells, so it is just a wire from in1 to out1 with no registers or arithmetic. That means the suggested clockgate and operand-isolation steps have nothing to work on, and the estimated -25.0 power change, along with its 5.0 area and 5.0 delay costs, is unlikely to happen in practice.", "source_file": "github_repos/The-OpenROAD-Project_OpenROAD/src/dbSta/test/clock_pin.v", "module_name": "top", "tool_name": "cross_stage_mapper+optimization_advisor", "tool_parameters": [{}, {"target_metric": "power"}], "tool_result": "[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"in1\": [\n \"in1\"\n ],\n \"out1\": [\n \"out1\"\n ]\n },\n \"alignment_score\": 100.0,\n \"unmapped_elements\": [],\n \"mapping_statistics\": {\n \"rtl_signals\": 2,\n \"netlist_wires\": 3,\n \"netlist_cells\": 0,\n \"mapped_signals\": 2,\n \"unmapped_signals\": 0\n },\n \"error\": null\n}\n\n[optimization_advisor {\"target_metric\": \"power\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"power\",\n \"recommended_recipes\": [\n \"synth -top top\",\n \"opt; share; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean; clockgate\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"clock_gating\",\n \"description\": \"Insert clock gating for registers\",\n \"command\": \"clockgate\"\n },\n {\n \"type\": \"operand_isolation\",\n \"description\": \"Isolate operands when not in use\",\n \"command\": \"Use enable signals for arithmetic\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": 5.0,\n \"delay\": 5.0,\n \"power\": -25.0\n },\n \"trade_offs\": [\n \"Power optimization may add area overhead\",\n \"Clock gating adds timing complexity\"\n ],\n \"error\": null\n}", "category": "multi_tool", "subcategory": "cross_stage_mapper+optimization_advisor", "difficulty": "compositional", "question_hash": "32619561e8aa", "stage1_target": "[{\"tool\": \"cross_stage_mapper\", \"parameters\": {}}, {\"tool\": \"optimization_advisor\", \"parameters\": {\"target_metric\": \"power\"}}]", "stage2_context": "Question: For module top, the RTL-to-netlist mapping shows the signals in1 and out1 carried straight through with no logic cells. Given that, how much of the suggested power optimization, which projects a power change along with area and delay penalties, is actually likely to help?\n\n[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"in1\": [\n \"in1\"\n ],\n \"out1\": [\n \"out1\"\n ]\n },\n \"alignment_score\": 100.0,\n \"unmapped_elements\": [],\n \"mapping_statistics\": {\n \"rtl_signals\": 2,\n \"netlist_wires\": 3,\n \"netlist_cells\": 0,\n \"mapped_signals\": 2,\n \"unmapped_signals\": 0\n },\n \"error\": null\n}\n\n[optimization_advisor {\"target_metric\": \"power\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"power\",\n \"recommended_recipes\": [\n \"synth -top top\",\n \"opt; share; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean; clockgate\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"clock_gating\",\n \"description\": \"Insert clock gating for registers\",\n \"command\": \"clockgate\"\n },\n {\n \"type\": \"operand_isolation\",\n \"description\": \"Isolate operands when not in use\",\n \"command\": \"Use enable signals for arithmetic\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": 5.0,\n \"delay\": 5.0,\n \"power\": -25.0\n },\n \"trade_offs\": [\n \"Power optimization may add area overhead\",\n \"Clock gating adds timing complexity\"\n ],\n \"error\": null\n}", "plan_id": "ddaecac897ed", "design_id": "e3309d6233fc", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/The-OpenROAD-Project/OpenROAD", "commit": "3e3e483a4e3f98e2b5470b272040699de6dedbee", "path": "src/dbSta/test/clock_pin.v", "sha256": "1b90cfd6644bcddea42cd2482e96aa291973568b7237fd12ab0c4f8f84f5bc68"}} {"question": "In NV_NVDLA_RT_cacc2glb, the RTL has two always blocks and two registers, but the two pipeline-stage signals don't show up in the synthesized netlist. How does this affect the RTL-to-netlist alignment score, and does the code-quality check show any warnings that would explain it?", "answer": "For NV_NVDLA_RT_cacc2glb, the RTL-to-netlist alignment score is 71.43 because cacc2glb_done_intr_pd_d1 and cacc2glb_done_intr_pd_d2 are unmapped. Only 5 of the 7 RTL signals map to netlist wires, and the netlist has 0 cells. The static check finds 2 always blocks, 2 regs and a cyclomatic complexity of 6, and it reports no lint warnings, so it doesn't explain why the two registers are missing from the netlist.", "source_file": "github_repos/nvdla_hw/vmod/nvdla/retiming/NV_NVDLA_RT_cacc2glb.v", "module_name": "NV_NVDLA_RT_cacc2glb", "tool_name": "cross_stage_mapper+static_analyzer", "tool_parameters": [{}, {"analysis_type": "full"}], "tool_result": "[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"cacc2glb_done_intr_pd_d0\": [\n \"cacc2glb_done_intr_pd_d0\"\n ],\n \"nvdla_core_clk\": [\n \"nvdla_core_clk\"\n ],\n \"cacc2glb_done_intr_src_pd\": [\n \"cacc2glb_done_intr_src_pd\"\n ],\n \"cacc2glb_done_intr_pd_d2\": [],\n \"cacc2glb_done_intr_pd_d1\": [],\n \"nvdla_core_rstn\": [\n \"nvdla_core_rstn\"\n ],\n \"cacc2glb_done_intr_dst_pd\": [\n \"cacc2glb_done_intr_dst_pd\"\n ]\n },\n \"alignment_score\": 71.43,\n \"unmapped_elements\": [\n \"cacc2glb_done_intr_pd_d2\",\n \"cacc2glb_done_intr_pd_d1\"\n ],\n \"mapping_statistics\": {\n \"rtl_signals\": 7,\n \"netlist_wires\": 5,\n \"netlist_cells\": 0,\n \"mapped_signals\": 5,\n \"unmapped_signals\": 2\n },\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"NV_NVDLA_RT_cacc2glb\",\n \"port_count\": {\n \"inputs\": 3,\n \"outputs\": 1,\n \"inouts\": 0,\n \"total\": 4\n },\n \"signal_count\": {\n \"wires\": 1,\n \"regs\": 2,\n \"parameters\": 0,\n \"total\": 3\n },\n \"always_blocks\": 2,\n \"assign_statements\": 2,\n \"instantiations\": [],\n \"code_complexity\": {\n \"lines_of_code\": 30,\n \"total_lines\": 61,\n \"cyclomatic_complexity\": 6,\n \"nesting_depth\": 6,\n \"operator_count\": 163\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "category": "multi_tool", "subcategory": "cross_stage_mapper+static_analyzer", "difficulty": "compositional", "question_hash": "23f45cc55c10", "stage1_target": "[{\"tool\": \"cross_stage_mapper\", \"parameters\": {}}, {\"tool\": \"static_analyzer\", \"parameters\": {\"analysis_type\": \"full\"}}]", "stage2_context": "Question: In NV_NVDLA_RT_cacc2glb, the RTL has two always blocks and two registers, but the two pipeline-stage signals don't show up in the synthesized netlist. How does this affect the RTL-to-netlist alignment score, and does the code-quality check show any warnings that would explain it?\n\n[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"cacc2glb_done_intr_pd_d0\": [\n \"cacc2glb_done_intr_pd_d0\"\n ],\n \"nvdla_core_clk\": [\n \"nvdla_core_clk\"\n ],\n \"cacc2glb_done_intr_src_pd\": [\n \"cacc2glb_done_intr_src_pd\"\n ],\n \"cacc2glb_done_intr_pd_d2\": [],\n \"cacc2glb_done_intr_pd_d1\": [],\n \"nvdla_core_rstn\": [\n \"nvdla_core_rstn\"\n ],\n \"cacc2glb_done_intr_dst_pd\": [\n \"cacc2glb_done_intr_dst_pd\"\n ]\n },\n \"alignment_score\": 71.43,\n \"unmapped_elements\": [\n \"cacc2glb_done_intr_pd_d2\",\n \"cacc2glb_done_intr_pd_d1\"\n ],\n \"mapping_statistics\": {\n \"rtl_signals\": 7,\n \"netlist_wires\": 5,\n \"netlist_cells\": 0,\n \"mapped_signals\": 5,\n \"unmapped_signals\": 2\n },\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"NV_NVDLA_RT_cacc2glb\",\n \"port_count\": {\n \"inputs\": 3,\n \"outputs\": 1,\n \"inouts\": 0,\n \"total\": 4\n },\n \"signal_count\": {\n \"wires\": 1,\n \"regs\": 2,\n \"parameters\": 0,\n \"total\": 3\n },\n \"always_blocks\": 2,\n \"assign_statements\": 2,\n \"instantiations\": [],\n \"code_complexity\": {\n \"lines_of_code\": 30,\n \"total_lines\": 61,\n \"cyclomatic_complexity\": 6,\n \"nesting_depth\": 6,\n \"operator_count\": 163\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "plan_id": "3d58d8abb37f", "design_id": "e3dcc52890ca", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/nvdla/hw", "commit": "8e06b1b9d85aab65b40d43d08eec5ea4681ff715", "path": "vmod/nvdla/retiming/NV_NVDLA_RT_cacc2glb.v", "sha256": "cdad83d8b052994bddd7f2651a9d178b87be6e56ac3bb259f0f3d26b47bc6422"}} {"question": "In the AIG for max_chain_count, how many flip-flop nodes and I/O port nodes are there, and does that line up with the cell count, area and critical-path delay from the medium-effort synthesis? What does that suggest about how much combinational logic the design has?", "answer": "The AIG for max_chain_count has 23 nodes and 40 edges: 10 sky130_fd_sc_hd__dfstp_1 flip-flops, 3 input ports and 10 output ports. That matches the synthesis result of 10 cells, all sky130_fd_sc_hd__dfstp_1, with an area of 10.0 and a critical path estimate of 99.76. Since every cell is a set-type flop and there are no other gate types, the design is purely registers with no combinational logic between them.", "source_file": "github_repos/The-OpenROAD-Project_OpenROAD/src/dft/test/max_chain_count_sky130.v", "module_name": "max_chain_count", "tool_name": "graph_extractor+synthesis_tool", "tool_parameters": [{"graph_type": "AIG"}, {"optimization_level": "medium"}], "tool_result": "[graph_extractor {\"graph_type\": \"AIG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"AIG\",\n...[6395 chars elided]...\n \"node_count\": 23,\n \"edge_count\": 40,\n \"graph_properties\": {\n \"node_types\": {\n \"sky130_fd_sc_hd__dfstp_1\": 10,\n \"port_input\": 3,\n \"port_output\": 10\n },\n \"avg_degree\": 1.74,\n \"module_name\": \"max_chain_count\"\n },\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 10.0,\n \"delay\": 99.76,\n \"power\": 0.01,\n \"gate_count\": 10,\n \"cell_breakdown\": {\n \"sky130_fd_sc_hd__dfstp_1\": 10\n },\n \"wire_count\": 13,\n \"wire_bits\": 13,\n \"critical_path_estimate\": 99.76,\n...[1092 chars elided]...\n \"error\": null\n}", "category": "multi_tool", "subcategory": "graph_extractor+synthesis_tool", "difficulty": "compositional", "question_hash": "ea3c2b9380d9", "stage1_target": "[{\"tool\": \"graph_extractor\", \"parameters\": {\"graph_type\": \"AIG\"}}, {\"tool\": \"synthesis_tool\", \"parameters\": {\"optimization_level\": \"medium\"}}]", "stage2_context": "Question: In the AIG for max_chain_count, how many flip-flop nodes and I/O port nodes are there, and does that line up with the cell count, area and critical-path delay from the medium-effort synthesis? What does that suggest about how much combinational logic the design has?\n\n[graph_extractor {\"graph_type\": \"AIG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"AIG\",\n...[6395 chars elided]...\n \"node_count\": 23,\n \"edge_count\": 40,\n \"graph_properties\": {\n \"node_types\": {\n \"sky130_fd_sc_hd__dfstp_1\": 10,\n \"port_input\": 3,\n \"port_output\": 10\n },\n \"avg_degree\": 1.74,\n \"module_name\": \"max_chain_count\"\n },\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 10.0,\n \"delay\": 99.76,\n \"power\": 0.01,\n \"gate_count\": 10,\n \"cell_breakdown\": {\n \"sky130_fd_sc_hd__dfstp_1\": 10\n },\n \"wire_count\": 13,\n \"wire_bits\": 13,\n \"critical_path_estimate\": 99.76,\n...[1092 chars elided]...\n \"error\": null\n}", "plan_id": "a43dd0b2c4bb", "design_id": "e99b99f22533", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/The-OpenROAD-Project/OpenROAD", "commit": "3e3e483a4e3f98e2b5470b272040699de6dedbee", "path": "src/dft/test/max_chain_count_sky130.v", "sha256": "ce5a8b9e08786984fb92895dbb624f6add2e23b769970eebdf1e4da6199af483"}} {"question": "For NV_NVDLA_CDMA_slcg, how well do the RTL signals carry through to the synthesized netlist, and given that, how much would a power-targeted optimization flow that adds clock gating be expected to help, and at what cost?", "answer": "In NV_NVDLA_CDMA_slcg, only 11 of the 30 RTL signals map to the netlist (19 are unmapped, and there are 25 netlist wires and 0 netlist cells), so most of the logic does not survive as distinct netlist objects. Even so, the power-targeted flow, which runs \"opt_clean; clockgate\", estimates a power change of -25.0 at a cost of +5.0 in both area and delay, and it warns that clock gating adds timing complexity.", "source_file": "github_repos/nvdla_hw/vmod/nvdla/cdma/NV_NVDLA_CDMA_slcg.v", "module_name": "NV_NVDLA_CDMA_slcg", "tool_name": "cross_stage_mapper+optimization_advisor", "tool_parameters": [{}, {"target_metric": "power"}], "tool_result": "[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"assert2slcg_disable_clock_gating_0\": [],\n \"testpoint_got_reset_testpoint_0_internal_nvdla_core_rstn_with_clock_testpoint_0_internal_nvdla_core_clk\": [],\n \"testpoint_0_count_0\": [],\n \"dla_clk_ovr_on_sync\": [\n \"dla_clk_ovr_on_sync\"\n ],\n \"nvdla_core_clk_slcg_0_icg_override_to_gateable\": [],\n \"testpoint_0_internal_nvdla_core_clk\": [],\n \"enable\": [\n \n...[1483 chars elided]...\n_count_0\",\n \"nvdla_core_clk_slcg_0_icg_override_to_gateable\",\n \"testpoint_0_internal_nvdla_core_clk\",\n \"nvdla_core_clk_slcg_0_icg_override_to_ungated\",\n \"testpoint_0_internal_nvdla_core_rstn\",\n \"nvdla_core_clk_slcg_0_icg_disable_eos\",\n \"done_monitor_0\",\n \"testpoint_1_count_0\",\n \"testpoint_1_internal_nvdla_core_clk\",\n \"testpoint_0_goal_0\",\n \"testpoint_1_goal_0\",\n \"testpoint_got_reset_testpoint_1_internal_nvdla_core_rstn_with_clock_testpoint_1_internal_nvdla_core_clk\",\n \"testpoint_1_internal_nvdla_core_rstn\",\n \"testpoint_0_goal_0_active\",\n \"testpoint_1_goal_0_active\",\n \"nvdla_core_clk_slcg_0_end_of_sim_clock_enable\",\n \"monitor_icg_summary_0\"\n ],\n \"mapping_statistics\": {\n \"rtl_signals\": 30,\n \"netlist_wires\": 25,\n \"netlist_cells\": 0,\n \"mapped_signals\": 11,\n \"unmapped_signals\": 19\n },\n \"error\": null\n}\n\n[optimization_advisor {\"target_metric\": \"power\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"power\",\n \"recommended_recipes\": [\n \"synth -top NV_NVDLA_CDMA_slcg\",\n \"opt; share; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean; clockgate\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"clock_gating\",\n \"description\": \"Insert clock gating for registers\",\n \"command\": \"clockgate\"\n },\n {\n \"type\": \"operand_isolation\",\n \"description\": \"Isolate operands when not in use\",\n \"command\": \"Use enable signals for arithmetic\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": 5.0,\n \"delay\": 5.0,\n \"power\": -25.0\n },\n \"trade_offs\": [\n \"Power optimization may add area overhead\",\n \"Clock gating adds timing complexity\"\n ],\n \"error\": null\n}", "category": "multi_tool", "subcategory": "cross_stage_mapper+optimization_advisor", "difficulty": "compositional", "question_hash": "a0dee391cd58", "stage1_target": "[{\"tool\": \"cross_stage_mapper\", \"parameters\": {}}, {\"tool\": \"optimization_advisor\", \"parameters\": {\"target_metric\": \"power\"}}]", "stage2_context": "Question: For NV_NVDLA_CDMA_slcg, how well do the RTL signals carry through to the synthesized netlist, and given that, how much would a power-targeted optimization flow that adds clock gating be expected to help, and at what cost?\n\n[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"assert2slcg_disable_clock_gating_0\": [],\n \"testpoint_got_reset_testpoint_0_internal_nvdla_core_rstn_with_clock_testpoint_0_internal_nvdla_core_clk\": [],\n \"testpoint_0_count_0\": [],\n \"dla_clk_ovr_on_sync\": [\n \"dla_clk_ovr_on_sync\"\n ],\n \"nvdla_core_clk_slcg_0_icg_override_to_gateable\": [],\n \"testpoint_0_internal_nvdla_core_clk\": [],\n \"enable\": [\n \n...[1483 chars elided]...\n_count_0\",\n \"nvdla_core_clk_slcg_0_icg_override_to_gateable\",\n \"testpoint_0_internal_nvdla_core_clk\",\n \"nvdla_core_clk_slcg_0_icg_override_to_ungated\",\n \"testpoint_0_internal_nvdla_core_rstn\",\n \"nvdla_core_clk_slcg_0_icg_disable_eos\",\n \"done_monitor_0\",\n \"testpoint_1_count_0\",\n \"testpoint_1_internal_nvdla_core_clk\",\n \"testpoint_0_goal_0\",\n \"testpoint_1_goal_0\",\n \"testpoint_got_reset_testpoint_1_internal_nvdla_core_rstn_with_clock_testpoint_1_internal_nvdla_core_clk\",\n \"testpoint_1_internal_nvdla_core_rstn\",\n \"testpoint_0_goal_0_active\",\n \"testpoint_1_goal_0_active\",\n \"nvdla_core_clk_slcg_0_end_of_sim_clock_enable\",\n \"monitor_icg_summary_0\"\n ],\n \"mapping_statistics\": {\n \"rtl_signals\": 30,\n \"netlist_wires\": 25,\n \"netlist_cells\": 0,\n \"mapped_signals\": 11,\n \"unmapped_signals\": 19\n },\n \"error\": null\n}\n\n[optimization_advisor {\"target_metric\": \"power\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"power\",\n \"recommended_recipes\": [\n \"synth -top NV_NVDLA_CDMA_slcg\",\n \"opt; share; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean; clockgate\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"clock_gating\",\n \"description\": \"Insert clock gating for registers\",\n \"command\": \"clockgate\"\n },\n {\n \"type\": \"operand_isolation\",\n \"description\": \"Isolate operands when not in use\",\n \"command\": \"Use enable signals for arithmetic\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": 5.0,\n \"delay\": 5.0,\n \"power\": -25.0\n },\n \"trade_offs\": [\n \"Power optimization may add area overhead\",\n \"Clock gating adds timing complexity\"\n ],\n \"error\": null\n}", "plan_id": "c93804e12a30", "design_id": "eaf6cbc4e731", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/nvdla/hw", "commit": "8e06b1b9d85aab65b40d43d08eec5ea4681ff715", "path": "vmod/nvdla/cdma/NV_NVDLA_CDMA_slcg.v", "sha256": "f6989c521aa4f0a676262773538fe52a26fadfd4572b785184a96e8b17a80f6f"}} {"question": "For the RAMDP_20X80_GL_M1_E2 dual-port RAM, how well do the RTL signals trace to the netlist, and does the CDFG's storage structure suggest why so many signals don't map?", "answer": "In RAMDP_20X80_GL_M1_E2, only 28 of 67 RTL signals map to the netlist, for an alignment score of 41.79, and unmapped elements include latch-related signals such as we_lat, re_lat and wd_lat. The CDFG has 5347 nodes, 1606 of them $dlatch storage nodes alongside 1601 $reduce_or nodes, so the storage is built from latches that the netlist renames or flattens, and the named latch signals have no direct match.", "source_file": "github_repos/nvdla_hw/vmod/rams/model/RAMDP_20X80_GL_M1_E2.v", "module_name": "RAMDP_20X80_GL_M1_E2", "tool_name": "cross_stage_mapper+graph_extractor", "tool_parameters": [{}, {"graph_type": "CDFG"}], "tool_result": "[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"weclk\": [\n \"weclk_d1\",\n \"weclk_d2\",\n \"weclk\",\n \"weclk_d0\"\n ],\n \"check_x\": [],\n \"ret_en_r_1p\": [],\n \"RA\": [\n \"RADR_2\",\n \"RADR_3\",\n \"RA\",\n \"RADR_1\",\n \"RADR_4\"\n ],\n \"RE\": [\n \"RE\",\n \"RET_EN\"\n ],\n \"WD\": [\n \"WD_43\",\n \"WD_44\",\n \"WD_62\",\n \"WD_72\",\n \"WD_79\"\n ],\n \"clobber_x\":\n...[2514 chars elided]...\n [],\n \"we_ff\": [],\n \"addr\": [\n \"r0_addr\",\n \"w0_addr\"\n ],\n \"wa_ff\": [],\n \"clamp_o\": [\n \"clamp_o\"\n ],\n \"disable_power_assertion_S2P1\": []\n },\n \"alignment_score\": 41.79,\n \"unmapped_elements\": [\n \"check_x\",\n \"ret_en_r_1p\",\n \"ret_en_w_1p\",\n \"sleep_en_off_r_1p\",\n \"ra_ff\",\n \"illegal_logic_assertion_wadr_out_of_range\",\n \"weclk_gating\",\n \"disable_logic_assertion_wadr_out_of_range\",\n \"rst_clk\",\n \"we_lat\",\n \"reclk_gating_1p\",\n \"dump_monitor_result\",\n \"output_valid\",\n \"data\",\n \"illegal_logic_assertion_radr_out_of_range\",\n \"disable_power_assertion_S1P1\",\n \"re_lat\",\n \"wd_ff\",\n \"wd_lat\",\n \"monitor_on\"\n ],\n \"mapping_statistics\": {\n \"rtl_signals\": 67,\n \"netlist_wires\": 14635,\n \"netlist_cells\": 0,\n \"mapped_signals\": 28,\n \"unmapped_signals\": 39\n },\n \"error\": null\n}\n\n[graph_extractor {\"graph_type\": \"CDFG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"CDFG\",\n...[68296 chars elided]...\n \"node_count\": 5347,\n \"edge_count\": 19115,\n \"graph_properties\": {\n \"node_types\": {\n \"$and\": 1694,\n \"$logic_and\": 80,\n \"$not\": 105,\n \"$reduce_or\": 1601,\n \"$dlatch\": 1606,\n \"$eq\": 38,\n \"$logic_not\": 7,\n \"$pmux\": 1,\n \"port_input\": 127,\n \"port_output\": 82,\n \"RAM_BANK_RAMDP_20X80_GL_M1_E2\": 1,\n \"$or\": 2,\n \"$mux\": 2,\n \"$paramod$db4ddc76c1373f6b1032b545af3ba4e6d7595172\\\\vram_RAMDP_20X80_GL_M1_E2\": 1\n },\n \"avg_degree\": 3.57,\n \"module_name\": \"RAMDP_20X80_GL_M1_E2\"\n },\n \"error\": null\n}", "category": "multi_tool", "subcategory": "cross_stage_mapper+graph_extractor", "difficulty": "compositional", "question_hash": "9001be415248", "stage1_target": "[{\"tool\": \"cross_stage_mapper\", \"parameters\": {}}, {\"tool\": \"graph_extractor\", \"parameters\": {\"graph_type\": \"CDFG\"}}]", "stage2_context": "Question: For the RAMDP_20X80_GL_M1_E2 dual-port RAM, how well do the RTL signals trace to the netlist, and does the CDFG's storage structure suggest why so many signals don't map?\n\n[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"weclk\": [\n \"weclk_d1\",\n \"weclk_d2\",\n \"weclk\",\n \"weclk_d0\"\n ],\n \"check_x\": [],\n \"ret_en_r_1p\": [],\n \"RA\": [\n \"RADR_2\",\n \"RADR_3\",\n \"RA\",\n \"RADR_1\",\n \"RADR_4\"\n ],\n \"RE\": [\n \"RE\",\n \"RET_EN\"\n ],\n \"WD\": [\n \"WD_43\",\n \"WD_44\",\n \"WD_62\",\n \"WD_72\",\n \"WD_79\"\n ],\n \"clobber_x\":\n...[2514 chars elided]...\n [],\n \"we_ff\": [],\n \"addr\": [\n \"r0_addr\",\n \"w0_addr\"\n ],\n \"wa_ff\": [],\n \"clamp_o\": [\n \"clamp_o\"\n ],\n \"disable_power_assertion_S2P1\": []\n },\n \"alignment_score\": 41.79,\n \"unmapped_elements\": [\n \"check_x\",\n \"ret_en_r_1p\",\n \"ret_en_w_1p\",\n \"sleep_en_off_r_1p\",\n \"ra_ff\",\n \"illegal_logic_assertion_wadr_out_of_range\",\n \"weclk_gating\",\n \"disable_logic_assertion_wadr_out_of_range\",\n \"rst_clk\",\n \"we_lat\",\n \"reclk_gating_1p\",\n \"dump_monitor_result\",\n \"output_valid\",\n \"data\",\n \"illegal_logic_assertion_radr_out_of_range\",\n \"disable_power_assertion_S1P1\",\n \"re_lat\",\n \"wd_ff\",\n \"wd_lat\",\n \"monitor_on\"\n ],\n \"mapping_statistics\": {\n \"rtl_signals\": 67,\n \"netlist_wires\": 14635,\n \"netlist_cells\": 0,\n \"mapped_signals\": 28,\n \"unmapped_signals\": 39\n },\n \"error\": null\n}\n\n[graph_extractor {\"graph_type\": \"CDFG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"CDFG\",\n...[68296 chars elided]...\n \"node_count\": 5347,\n \"edge_count\": 19115,\n \"graph_properties\": {\n \"node_types\": {\n \"$and\": 1694,\n \"$logic_and\": 80,\n \"$not\": 105,\n \"$reduce_or\": 1601,\n \"$dlatch\": 1606,\n \"$eq\": 38,\n \"$logic_not\": 7,\n \"$pmux\": 1,\n \"port_input\": 127,\n \"port_output\": 82,\n \"RAM_BANK_RAMDP_20X80_GL_M1_E2\": 1,\n \"$or\": 2,\n \"$mux\": 2,\n \"$paramod$db4ddc76c1373f6b1032b545af3ba4e6d7595172\\\\vram_RAMDP_20X80_GL_M1_E2\": 1\n },\n \"avg_degree\": 3.57,\n \"module_name\": \"RAMDP_20X80_GL_M1_E2\"\n },\n \"error\": null\n}", "plan_id": "acef378b6b67", "design_id": "ed35efb38229", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/nvdla/hw", "commit": "8e06b1b9d85aab65b40d43d08eec5ea4681ff715", "path": "vmod/rams/model/RAMDP_20X80_GL_M1_E2.v", "sha256": "8bc631c5c390db1ab86695d3312efa61e033573cfb890e714f5b2d796dec60f3"}} {"question": "For nv_ram_rwsp_80x256, does the mapped cell mix match what the source-level structure suggests? Specifically, how do the instantiated cell types and port count in the RTL compare with the synthesized cell breakdown at medium optimization, and what are the resulting area and delay figures?", "answer": "nv_ram_rwsp_80x256 has 17 inputs and 2 outputs and contains no always blocks, so it is purely structural. That matches the medium-optimization result, which is made up entirely of black-box and wrapper cells: 257 NV_BLKBOX_SINK, 32 AN2D4PO4, 32 NV_BLKBOX_SRC0_X, 9 NV_BLKBOX_SRC0 and 1 nv_ram_rwsp_80x256_logic, for 331 cells in total. The reported area is 331.0 and the delay is 285.05.", "source_file": "github_repos/nvdla_hw/vmod/rams/synth/nv_ram_rwsp_80x256.v", "module_name": "nv_ram_rwsp_80x256", "tool_name": "static_analyzer+synthesis_tool", "tool_parameters": [{"analysis_type": "full"}, {"optimization_level": "medium"}], "tool_result": "[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"nv_ram_rwsp_80x256\",\n \"port_count\": {\n \"inputs\": 17,\n \"outputs\": 2,\n \"inouts\": 0,\n \"total\": 19\n },\n \"signal_count\": {\n \"wires\": 135,\n \"regs\": 7,\n \"parameters\": 1,\n \"total\": 142\n },\n \"always_blocks\": 0,\n \"assign_statements\": 0,\n \"instantiations\": [\n \"RAMPDP_80X256_GL_M1_D2\",\n \"NV_BLKBOX_SRC0_X\",\n \"RANDFUNC\",\n \"AN2D4PO4\",\n \"NV_BLKBOX_SINK\",\n \"NV_BLKBOX_SRC0\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 937,\n \"total_lines\": 1028,\n \"cyclomatic_complexity\": 16,\n \"nesting_depth\": 18,\n \"operator_count\": 666\n },\n \"lint_warnings\": [],\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 331.0,\n \"delay\": 285.05,\n \"power\": 0.331,\n \"gate_count\": 331,\n \"cell_breakdown\": {\n \"AN2D4PO4\": 32,\n \"NV_BLKBOX_SINK\": 257,\n \"NV_BLKBOX_SRC0\": 9,\n \"NV_BLKBOX_SRC0_X\": 32,\n \"nv_ram_rwsp_80x256_logic\": 1\n },\n \"wire_count\": 64,\n \"wire_bits\": 892,\n \"critical_path_estimate\": 285.05,\n...[1212 chars elided]...\n \"error\": null\n}", "category": "multi_tool", "subcategory": "static_analyzer+synthesis_tool", "difficulty": "compositional", "question_hash": "bb5bc4a45766", "stage1_target": "[{\"tool\": \"static_analyzer\", \"parameters\": {\"analysis_type\": \"full\"}}, {\"tool\": \"synthesis_tool\", \"parameters\": {\"optimization_level\": \"medium\"}}]", "stage2_context": "Question: For nv_ram_rwsp_80x256, does the mapped cell mix match what the source-level structure suggests? Specifically, how do the instantiated cell types and port count in the RTL compare with the synthesized cell breakdown at medium optimization, and what are the resulting area and delay figures?\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"nv_ram_rwsp_80x256\",\n \"port_count\": {\n \"inputs\": 17,\n \"outputs\": 2,\n \"inouts\": 0,\n \"total\": 19\n },\n \"signal_count\": {\n \"wires\": 135,\n \"regs\": 7,\n \"parameters\": 1,\n \"total\": 142\n },\n \"always_blocks\": 0,\n \"assign_statements\": 0,\n \"instantiations\": [\n \"RAMPDP_80X256_GL_M1_D2\",\n \"NV_BLKBOX_SRC0_X\",\n \"RANDFUNC\",\n \"AN2D4PO4\",\n \"NV_BLKBOX_SINK\",\n \"NV_BLKBOX_SRC0\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 937,\n \"total_lines\": 1028,\n \"cyclomatic_complexity\": 16,\n \"nesting_depth\": 18,\n \"operator_count\": 666\n },\n \"lint_warnings\": [],\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 331.0,\n \"delay\": 285.05,\n \"power\": 0.331,\n \"gate_count\": 331,\n \"cell_breakdown\": {\n \"AN2D4PO4\": 32,\n \"NV_BLKBOX_SINK\": 257,\n \"NV_BLKBOX_SRC0\": 9,\n \"NV_BLKBOX_SRC0_X\": 32,\n \"nv_ram_rwsp_80x256_logic\": 1\n },\n \"wire_count\": 64,\n \"wire_bits\": 892,\n \"critical_path_estimate\": 285.05,\n...[1212 chars elided]...\n \"error\": null\n}", "plan_id": "f8ded95a63f9", "design_id": "ed89146a6cfc", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/nvdla/hw", "commit": "8e06b1b9d85aab65b40d43d08eec5ea4681ff715", "path": "vmod/rams/synth/nv_ram_rwsp_80x256.v", "sha256": "9e9f0a01df231e82f680fe434027fddc7bd5f1125cb1953cce5b246eec9513a9"}} {"question": "For the module top, how does the structural netlist's instantiated cell types and port count compare with the synthesized cell breakdown, and what area, delay, and power does that synthesized result report?", "answer": "Module top has 5 ports (3 inputs, 2 outputs) and directly instantiates DFF_X1, AND2_X1 and INV_X1 cells, with no always blocks or assign statements. Synthesis keeps the same cell types, giving 4 cells in total (2 DFF_X1, 1 AND2_X1, 1 INV_X1), and reports an area of 4.0, a delay of 75.79 and a power of 0.004.", "source_file": "github_repos/The-OpenROAD-Project_OpenROAD/src/cut/test/side_outputs_extract_logic_depth.v", "module_name": "top", "tool_name": "static_analyzer+synthesis_tool", "tool_parameters": [{"analysis_type": "full"}, {"optimization_level": "medium"}], "tool_result": "[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"top\",\n \"port_count\": {\n \"inputs\": 3,\n \"outputs\": 2,\n \"inouts\": 0,\n \"total\": 5\n },\n \"signal_count\": {\n \"wires\": 4,\n \"regs\": 0,\n \"parameters\": 0,\n \"total\": 4\n },\n \"always_blocks\": 0,\n \"assign_statements\": 0,\n \"instantiations\": [\n \"DFF_X1\",\n \"AND2_X1\",\n \"INV_X1\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 38,\n \"total_lines\": 47,\n \"cyclomatic_complexity\": 1,\n \"nesting_depth\": 0,\n \"operator_count\": 11\n },\n \"lint_warnings\": [],\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 4.0,\n \"delay\": 75.79,\n \"power\": 0.004,\n \"gate_count\": 4,\n \"cell_breakdown\": {\n \"AND2_X1\": 1,\n \"DFF_X1\": 2,\n \"INV_X1\": 1\n },\n \"wire_count\": 9,\n \"wire_bits\": 9,\n \"critical_path_estimate\": 75.79,\n...[1115 chars elided]...\n \"error\": null\n}", "category": "multi_tool", "subcategory": "static_analyzer+synthesis_tool", "difficulty": "compositional", "question_hash": "8c6903dcfcaa", "stage1_target": "[{\"tool\": \"static_analyzer\", \"parameters\": {\"analysis_type\": \"full\"}}, {\"tool\": \"synthesis_tool\", \"parameters\": {\"optimization_level\": \"medium\"}}]", "stage2_context": "Question: For the module top, how does the structural netlist's instantiated cell types and port count compare with the synthesized cell breakdown, and what area, delay, and power does that synthesized result report?\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"top\",\n \"port_count\": {\n \"inputs\": 3,\n \"outputs\": 2,\n \"inouts\": 0,\n \"total\": 5\n },\n \"signal_count\": {\n \"wires\": 4,\n \"regs\": 0,\n \"parameters\": 0,\n \"total\": 4\n },\n \"always_blocks\": 0,\n \"assign_statements\": 0,\n \"instantiations\": [\n \"DFF_X1\",\n \"AND2_X1\",\n \"INV_X1\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 38,\n \"total_lines\": 47,\n \"cyclomatic_complexity\": 1,\n \"nesting_depth\": 0,\n \"operator_count\": 11\n },\n \"lint_warnings\": [],\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 4.0,\n \"delay\": 75.79,\n \"power\": 0.004,\n \"gate_count\": 4,\n \"cell_breakdown\": {\n \"AND2_X1\": 1,\n \"DFF_X1\": 2,\n \"INV_X1\": 1\n },\n \"wire_count\": 9,\n \"wire_bits\": 9,\n \"critical_path_estimate\": 75.79,\n...[1115 chars elided]...\n \"error\": null\n}", "plan_id": "48c68cb79b77", "design_id": "eef8a9c3c4ae", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/The-OpenROAD-Project/OpenROAD", "commit": "3e3e483a4e3f98e2b5470b272040699de6dedbee", "path": "src/cut/test/side_outputs_extract_logic_depth.v", "sha256": "cdd1dc17fd9d9156affe65d0122679d07cd126d48492292b47ef6ff41dacf2e7"}} {"question": "In serv_compdec, the RTL-to-netlist mapping leaves some signals unmatched. Is the alignment between RTL and netlist good enough to safely check the effects of an area-targeted optimization flow, and what area change does that flow estimate?", "answer": "In serv_compdec, 6 of the 9 RTL signals map to the netlist, for an alignment score of 66.67. The output o_iscomp is one of the unmapped elements, so its logic has to be checked separately after the area-targeted recipe runs (for example 'share -aggressive' and 'muxcover; opt'). That flow estimates a -15.0 area change, with delay changing by 5.0.", "source_file": "github_repos/olofk_serv/rtl/serv_compdec.v", "module_name": "serv_compdec", "tool_name": "cross_stage_mapper+optimization_advisor", "tool_parameters": [{}, {"target_metric": "area"}], "tool_result": "[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"o_iscomp\": [],\n \"comp_instr\": [\n \"comp_instr\"\n ],\n \"wire\": [],\n \"reg\": [],\n \"illegal_instr\": [\n \"illegal_instr\"\n ],\n \"i_clk\": [\n \"i_clk\"\n ],\n \"i_ack\": [\n \"i_ack\"\n ],\n \"i_instr\": [\n \"i_instr\"\n ],\n \"o_instr\": [\n \"o_instr\"\n ]\n },\n \"alignment_score\": 66.67,\n \"unmapped_elements\": [\n \"o_iscomp\",\n \"wire\",\n \"reg\"\n ],\n \"mapping_statistics\": {\n \"rtl_signals\": 9,\n \"netlist_wires\": 1775,\n \"netlist_cells\": 0,\n \"mapped_signals\": 6,\n \"unmapped_signals\": 3\n },\n \"error\": null\n}\n\n[optimization_advisor {\"target_metric\": \"area\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"area\",\n \"recommended_recipes\": [\n \"synth -top serv_compdec -flatten\",\n \"opt -full; share -aggressive; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean -purge\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"mux_optimization\",\n \"description\": \"Share multiplexers where possible\",\n \"command\": \"muxcover; opt\"\n },\n {\n \"type\": \"resource_sharing\",\n \"description\": \"Share arithmetic operators\",\n \"command\": \"share -aggressive\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": -15.0,\n \"delay\": 5.0,\n \"power\": -10.0\n },\n \"trade_offs\": [\n \"Area optimization may increase delay\",\n \"Aggressive sharing increases routing complexity\"\n ],\n \"error\": null\n}", "category": "multi_tool", "subcategory": "cross_stage_mapper+optimization_advisor", "difficulty": "compositional", "question_hash": "24cfa79ca7b8", "stage1_target": "[{\"tool\": \"cross_stage_mapper\", \"parameters\": {}}, {\"tool\": \"optimization_advisor\", \"parameters\": {\"target_metric\": \"area\"}}]", "stage2_context": "Question: In serv_compdec, the RTL-to-netlist mapping leaves some signals unmatched. Is the alignment between RTL and netlist good enough to safely check the effects of an area-targeted optimization flow, and what area change does that flow estimate?\n\n[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"o_iscomp\": [],\n \"comp_instr\": [\n \"comp_instr\"\n ],\n \"wire\": [],\n \"reg\": [],\n \"illegal_instr\": [\n \"illegal_instr\"\n ],\n \"i_clk\": [\n \"i_clk\"\n ],\n \"i_ack\": [\n \"i_ack\"\n ],\n \"i_instr\": [\n \"i_instr\"\n ],\n \"o_instr\": [\n \"o_instr\"\n ]\n },\n \"alignment_score\": 66.67,\n \"unmapped_elements\": [\n \"o_iscomp\",\n \"wire\",\n \"reg\"\n ],\n \"mapping_statistics\": {\n \"rtl_signals\": 9,\n \"netlist_wires\": 1775,\n \"netlist_cells\": 0,\n \"mapped_signals\": 6,\n \"unmapped_signals\": 3\n },\n \"error\": null\n}\n\n[optimization_advisor {\"target_metric\": \"area\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"area\",\n \"recommended_recipes\": [\n \"synth -top serv_compdec -flatten\",\n \"opt -full; share -aggressive; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean -purge\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"mux_optimization\",\n \"description\": \"Share multiplexers where possible\",\n \"command\": \"muxcover; opt\"\n },\n {\n \"type\": \"resource_sharing\",\n \"description\": \"Share arithmetic operators\",\n \"command\": \"share -aggressive\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": -15.0,\n \"delay\": 5.0,\n \"power\": -10.0\n },\n \"trade_offs\": [\n \"Area optimization may increase delay\",\n \"Aggressive sharing increases routing complexity\"\n ],\n \"error\": null\n}", "plan_id": "0c877d50f8d5", "design_id": "f11941066222", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/olofk/serv", "commit": "f200eb2ed7b69ac1c6b8eddd47654522aeee5ce8", "path": "rtl/serv_compdec.v", "sha256": "b1799ad9c5f10756fc336788d4bf871c5a6d4181c2f62568fad1b3bbe86504ae"}} {"question": "For NV_NVDLA_SDP_erdma, given its medium-effort synthesized result, does an area-targeted optimization pass look worthwhile, and what delay penalty should I expect in exchange for the area savings?", "answer": "NV_NVDLA_SDP_erdma synthesizes at medium effort to an area of 9.0 with only 8 cells, four of which are submodule instances (NV_NVDLA_SDP_ERDMA_cq, _eg, _gate, _ig), and a delay of 97.97. The area-targeted recipe (which includes share -aggressive) estimates a -15.0 area change and a -10.0 power change, but a 5.0 delay increase. Because so little glue logic sits at the top level, most of that gain would have to come from the flattened submodules, so the delay cost should be checked against the 97.97 critical path.", "source_file": "github_repos/nvdla_hw/vmod/nvdla/sdp/NV_NVDLA_SDP_erdma.v", "module_name": "NV_NVDLA_SDP_erdma", "tool_name": "optimization_advisor+synthesis_tool", "tool_parameters": [{"target_metric": "area"}, {"optimization_level": "medium"}], "tool_result": "[optimization_advisor {\"target_metric\": \"area\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"area\",\n \"recommended_recipes\": [\n \"synth -top NV_NVDLA_SDP_erdma -flatten\",\n \"opt -full; share -aggressive; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean -purge\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"resource_sharing\",\n \"description\": \"Share arithmetic operators\",\n \"command\": \"share -aggressive\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": -15.0,\n \"delay\": 5.0,\n \"power\": -10.0\n },\n \"trade_offs\": [\n \"Area optimization may increase delay\",\n \"Aggressive sharing increases routing complexity\"\n ],\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 9.0,\n \"delay\": 97.97,\n \"power\": 0.008,\n \"gate_count\": 8,\n \"cell_breakdown\": {\n \"$_ANDNOT_\": 2,\n \"$_DFFE_PN0P_\": 1,\n \"$_OR_\": 1,\n \"NV_NVDLA_SDP_ERDMA_cq\": 1,\n \"NV_NVDLA_SDP_ERDMA_eg\": 1,\n \"NV_NVDLA_SDP_ERDMA_gate\": 1,\n \"NV_NVDLA_SDP_ERDMA_ig\": 1\n },\n \"wire_count\": 59,\n \"wire_bits\": 1997,\n \"critical_path_estimate\": 97.97,\n...[1269 chars elided]...\n \"error\": null\n}", "category": "multi_tool", "subcategory": "optimization_advisor+synthesis_tool", "difficulty": "compositional", "question_hash": "5b3e32f4fb96", "stage1_target": "[{\"tool\": \"optimization_advisor\", \"parameters\": {\"target_metric\": \"area\"}}, {\"tool\": \"synthesis_tool\", \"parameters\": {\"optimization_level\": \"medium\"}}]", "stage2_context": "Question: For NV_NVDLA_SDP_erdma, given its medium-effort synthesized result, does an area-targeted optimization pass look worthwhile, and what delay penalty should I expect in exchange for the area savings?\n\n[optimization_advisor {\"target_metric\": \"area\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"area\",\n \"recommended_recipes\": [\n \"synth -top NV_NVDLA_SDP_erdma -flatten\",\n \"opt -full; share -aggressive; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean -purge\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"resource_sharing\",\n \"description\": \"Share arithmetic operators\",\n \"command\": \"share -aggressive\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": -15.0,\n \"delay\": 5.0,\n \"power\": -10.0\n },\n \"trade_offs\": [\n \"Area optimization may increase delay\",\n \"Aggressive sharing increases routing complexity\"\n ],\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 9.0,\n \"delay\": 97.97,\n \"power\": 0.008,\n \"gate_count\": 8,\n \"cell_breakdown\": {\n \"$_ANDNOT_\": 2,\n \"$_DFFE_PN0P_\": 1,\n \"$_OR_\": 1,\n \"NV_NVDLA_SDP_ERDMA_cq\": 1,\n \"NV_NVDLA_SDP_ERDMA_eg\": 1,\n \"NV_NVDLA_SDP_ERDMA_gate\": 1,\n \"NV_NVDLA_SDP_ERDMA_ig\": 1\n },\n \"wire_count\": 59,\n \"wire_bits\": 1997,\n \"critical_path_estimate\": 97.97,\n...[1269 chars elided]...\n \"error\": null\n}", "plan_id": "1bb1031b032e", "design_id": "f1860bd2ce94", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/nvdla/hw", "commit": "8e06b1b9d85aab65b40d43d08eec5ea4681ff715", "path": "vmod/nvdla/sdp/NV_NVDLA_SDP_erdma.v", "sha256": "3152108a5982125b0798c2551ed8d0a3132c31bd50f549cfde6943c5faae3d96"}} {"question": "For sirv_plic_man, the medium-effort synthesis comes out at an area of 409.0 with 384 cells. If I apply the area-targeted optimization recipe, which includes aggressive resource sharing, what area reduction and delay penalty should I expect, and how much of the current cell count is basic logic gates versus sequential and gateway instances that sharing probably won't shrink?", "answer": "The area-targeted recipe for sirv_plic_man (including \"share -aggressive\" and \"muxcover; opt\") estimates an area change of -15.0 and a delay change of +5.0 compared with the current 409.0 area and 282.98 critical path. Most of the 384 cells are basic gates such as 147 $_AND_ and 115 $_NAND_, while the 16 sirv_gnrl_dfflr and 7 sirv_LevelGateway instances are register and gateway blocks that sharing is unlikely to remove.", "source_file": "github_repos/riscv-mcu_e203_hbirdv2/rtl/e203/perips/sirv_plic_man.v", "module_name": "sirv_plic_man", "tool_name": "optimization_advisor+synthesis_tool", "tool_parameters": [{"target_metric": "area"}, {"optimization_level": "medium"}], "tool_result": "[optimization_advisor {\"target_metric\": \"area\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"area\",\n \"recommended_recipes\": [\n \"synth -top sirv_plic_man -flatten\",\n \"opt -full; share -aggressive; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean -purge\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"mux_optimization\",\n \"description\": \"Share multiplexers where possible\",\n \"command\": \"muxcover; opt\"\n },\n {\n \"type\": \"resource_sharing\",\n \"description\": \"Share arithmetic operators\",\n \"command\": \"share -aggressive\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": -15.0,\n \"delay\": 5.0,\n \"power\": -10.0\n },\n \"trade_offs\": [\n \"Area optimization may increase delay\",\n \"Aggressive sharing increases routing complexity\"\n ],\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 409.0,\n \"delay\": 282.98,\n \"power\": 0.384,\n \"gate_count\": 384,\n \"cell_breakdown\": {\n \"$_ANDNOT_\": 26,\n \"$_AND_\": 147,\n \"$_NAND_\": 115,\n \"$_NOR_\": 14,\n \"$_NOT_\": 9,\n \"$_ORNOT_\": 33,\n \"$_OR_\": 17,\n \"sirv_LevelGateway\": 7,\n \"sirv_gnrl_dfflr\": 16\n },\n \"wire_count\": 7435,\n \"wire_bits\": 15908,\n \"critical_path_estimate\": 282.98,\n...[1286 chars elided]...\n \"error\": null\n}", "category": "multi_tool", "subcategory": "optimization_advisor+synthesis_tool", "difficulty": "compositional", "question_hash": "78fa0ac17045", "stage1_target": "[{\"tool\": \"optimization_advisor\", \"parameters\": {\"target_metric\": \"area\"}}, {\"tool\": \"synthesis_tool\", \"parameters\": {\"optimization_level\": \"medium\"}}]", "stage2_context": "Question: For sirv_plic_man, the medium-effort synthesis comes out at an area of 409.0 with 384 cells. If I apply the area-targeted optimization recipe, which includes aggressive resource sharing, what area reduction and delay penalty should I expect, and how much of the current cell count is basic logic gates versus sequential and gateway instances that sharing probably won't shrink?\n\n[optimization_advisor {\"target_metric\": \"area\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"area\",\n \"recommended_recipes\": [\n \"synth -top sirv_plic_man -flatten\",\n \"opt -full; share -aggressive; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean -purge\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"mux_optimization\",\n \"description\": \"Share multiplexers where possible\",\n \"command\": \"muxcover; opt\"\n },\n {\n \"type\": \"resource_sharing\",\n \"description\": \"Share arithmetic operators\",\n \"command\": \"share -aggressive\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": -15.0,\n \"delay\": 5.0,\n \"power\": -10.0\n },\n \"trade_offs\": [\n \"Area optimization may increase delay\",\n \"Aggressive sharing increases routing complexity\"\n ],\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 409.0,\n \"delay\": 282.98,\n \"power\": 0.384,\n \"gate_count\": 384,\n \"cell_breakdown\": {\n \"$_ANDNOT_\": 26,\n \"$_AND_\": 147,\n \"$_NAND_\": 115,\n \"$_NOR_\": 14,\n \"$_NOT_\": 9,\n \"$_ORNOT_\": 33,\n \"$_OR_\": 17,\n \"sirv_LevelGateway\": 7,\n \"sirv_gnrl_dfflr\": 16\n },\n \"wire_count\": 7435,\n \"wire_bits\": 15908,\n \"critical_path_estimate\": 282.98,\n...[1286 chars elided]...\n \"error\": null\n}", "plan_id": "d5dba35424ca", "design_id": "f271953e7eec", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/riscv-mcu/e203_hbirdv2", "commit": "9f3e34f337f5d0a1236a285871ffa2032491617a", "path": "rtl/e203/perips/sirv_plic_man.v", "sha256": "b7b8022f306eb7a93f20fda6d131feaa725aa04315bae87d3154572ab052c028"}} {"question": "For nv_ram_rwsp_32x32, the RTL-to-netlist mapping leaves many of the shadow_mem rows unmapped. Since the advisor suggests memory inference for large arrays, how well does the RTL line up with the netlist, and what area, delay and power changes should I expect if I follow the area-targeted optimization plan?", "answer": "For nv_ram_rwsp_32x32, the RTL-to-netlist alignment score is 59.0. Of 100 RTL signals, 59 are mapped and 41 are not, including shadow_mem rows such as shadow_mem_row21 and shadow_mem_row0, which is consistent with the advisor's suggestion to use memory inference ('memory -nomap; memory_bram'). The area-targeted recipe is estimated to change area by -15.0, delay by 5.0 and power by -10.0, so the area savings come with a small delay penalty.", "source_file": "github_repos/nvdla_hw/vmod/rams/synth/nv_ram_rwsp_32x32.v", "module_name": "nv_ram_rwsp_32x32", "tool_name": "cross_stage_mapper+optimization_advisor", "tool_parameters": [{}, {"target_metric": "area"}], "tool_result": "[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"shadow_mem_row21\": [],\n \"mbist_en_sync\": [\n \"mbist_en_sync\",\n \"pre_mbist_en_sync\"\n ],\n \"di\": [\n \"di\"\n ],\n \"row\": [],\n \"mbist_ce_r0\": [\n \"mbist_ce_r0\",\n \"pre_mbist_ce_r0\"\n ],\n \"shadow_mem_row29\": [],\n \"shadow_mem_row5\": [],\n \"shadow_mem_row8\": [],\n \"ra\": [\n \"pre_mbist_ramaccess_rst_\",\n \"ra\",\n \"pre_scan_\n...[4414 chars elided]...\n\"pre_mbist_Wa_w0_4\",\n \"pre_mbist_Wa_w0_3\",\n \"pre_mbist_Wa_w0_2\",\n \"pre_mbist_Wa_w0_1\"\n ],\n \"iddq_mode\": [\n \"pre_iddq_mode\",\n \"iddq_mode\"\n ],\n \"shadow_mem_row0\": []\n },\n \"alignment_score\": 59.0,\n \"unmapped_elements\": [\n \"shadow_mem_row21\",\n \"row\",\n \"shadow_mem_row29\",\n \"shadow_mem_row5\",\n \"shadow_mem_row8\",\n \"string\",\n \"shadow_mem_row20\",\n \"shadow_mem\",\n \"shadow_mem_row6\",\n \"shadow_mem_row19\",\n \"shadow_mem_row17\",\n \"shadow_mem_row13\",\n \"integer\",\n \"shadow_mem_row23\",\n \"disable_clear_mem\",\n \"shadow_mem_row18\",\n \"shadow_mem_row14\",\n \"shadow_mem_row1\",\n \"shadow_mem_row25\",\n \"shadow_mem_row2\"\n ],\n \"mapping_statistics\": {\n \"rtl_signals\": 100,\n \"netlist_wires\": 58,\n \"netlist_cells\": 0,\n \"mapped_signals\": 59,\n \"unmapped_signals\": 41\n },\n \"error\": null\n}\n\n[optimization_advisor {\"target_metric\": \"area\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"area\",\n \"recommended_recipes\": [\n \"synth -top nv_ram_rwsp_32x32 -flatten\",\n \"opt -full; share -aggressive; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean -purge\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"memory_optimization\",\n \"description\": \"Consider using memory inference for large arrays\",\n \"command\": \"memory -nomap; memory_bram\"\n },\n {\n \"type\": \"mux_optimization\",\n \"description\": \"Share multiplexers where possible\",\n \"command\": \"muxcover; opt\"\n },\n {\n \"type\": \"resource_sharing\",\n \"description\": \"Share arithmetic operators\",\n \"command\": \"share -aggressive\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": -15.0,\n \"delay\": 5.0,\n \"power\": -10.0\n },\n \"trade_offs\": [\n \"Area optimization may increase delay\",\n \"Aggressive sharing increases routing complexity\"\n ],\n \"error\": null\n}", "category": "multi_tool", "subcategory": "cross_stage_mapper+optimization_advisor", "difficulty": "compositional", "question_hash": "6e6ae68120bc", "stage1_target": "[{\"tool\": \"cross_stage_mapper\", \"parameters\": {}}, {\"tool\": \"optimization_advisor\", \"parameters\": {\"target_metric\": \"area\"}}]", "stage2_context": "Question: For nv_ram_rwsp_32x32, the RTL-to-netlist mapping leaves many of the shadow_mem rows unmapped. Since the advisor suggests memory inference for large arrays, how well does the RTL line up with the netlist, and what area, delay and power changes should I expect if I follow the area-targeted optimization plan?\n\n[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"shadow_mem_row21\": [],\n \"mbist_en_sync\": [\n \"mbist_en_sync\",\n \"pre_mbist_en_sync\"\n ],\n \"di\": [\n \"di\"\n ],\n \"row\": [],\n \"mbist_ce_r0\": [\n \"mbist_ce_r0\",\n \"pre_mbist_ce_r0\"\n ],\n \"shadow_mem_row29\": [],\n \"shadow_mem_row5\": [],\n \"shadow_mem_row8\": [],\n \"ra\": [\n \"pre_mbist_ramaccess_rst_\",\n \"ra\",\n \"pre_scan_\n...[4414 chars elided]...\n\"pre_mbist_Wa_w0_4\",\n \"pre_mbist_Wa_w0_3\",\n \"pre_mbist_Wa_w0_2\",\n \"pre_mbist_Wa_w0_1\"\n ],\n \"iddq_mode\": [\n \"pre_iddq_mode\",\n \"iddq_mode\"\n ],\n \"shadow_mem_row0\": []\n },\n \"alignment_score\": 59.0,\n \"unmapped_elements\": [\n \"shadow_mem_row21\",\n \"row\",\n \"shadow_mem_row29\",\n \"shadow_mem_row5\",\n \"shadow_mem_row8\",\n \"string\",\n \"shadow_mem_row20\",\n \"shadow_mem\",\n \"shadow_mem_row6\",\n \"shadow_mem_row19\",\n \"shadow_mem_row17\",\n \"shadow_mem_row13\",\n \"integer\",\n \"shadow_mem_row23\",\n \"disable_clear_mem\",\n \"shadow_mem_row18\",\n \"shadow_mem_row14\",\n \"shadow_mem_row1\",\n \"shadow_mem_row25\",\n \"shadow_mem_row2\"\n ],\n \"mapping_statistics\": {\n \"rtl_signals\": 100,\n \"netlist_wires\": 58,\n \"netlist_cells\": 0,\n \"mapped_signals\": 59,\n \"unmapped_signals\": 41\n },\n \"error\": null\n}\n\n[optimization_advisor {\"target_metric\": \"area\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"area\",\n \"recommended_recipes\": [\n \"synth -top nv_ram_rwsp_32x32 -flatten\",\n \"opt -full; share -aggressive; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean -purge\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"memory_optimization\",\n \"description\": \"Consider using memory inference for large arrays\",\n \"command\": \"memory -nomap; memory_bram\"\n },\n {\n \"type\": \"mux_optimization\",\n \"description\": \"Share multiplexers where possible\",\n \"command\": \"muxcover; opt\"\n },\n {\n \"type\": \"resource_sharing\",\n \"description\": \"Share arithmetic operators\",\n \"command\": \"share -aggressive\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": -15.0,\n \"delay\": 5.0,\n \"power\": -10.0\n },\n \"trade_offs\": [\n \"Area optimization may increase delay\",\n \"Aggressive sharing increases routing complexity\"\n ],\n \"error\": null\n}", "plan_id": "8e0b590f9d46", "design_id": "f4244f9a6ebc", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/nvdla/hw", "commit": "8e06b1b9d85aab65b40d43d08eec5ea4681ff715", "path": "vmod/rams/synth/nv_ram_rwsp_32x32.v", "sha256": "40dd66dd3aa4a59f057f21b538f5ba4109d15118377978533fe478958033e1df"}} {"question": "For PGAOPV_DFCNQD2PO4, does the AIG graph extraction agree with the source-level structural analysis that this is just a single asynchronously-resettable register with no extra logic, and how complex is the source despite that?", "answer": "Yes. The AIG for PGAOPV_DFCNQD2PO4 has 5 nodes and 4 edges. Its only logic node is one $_DFF_PN0_ flip-flop, with CDN driving its R port, CP its C port and D its D port. This matches the source analysis, which finds 1 reg, 1 always block, 0 assign statements and no lint warnings. Even so, the source has a cyclomatic complexity of 4 and an operator count of 193 across 19 lines of code.", "source_file": "github_repos/nvdla_hw/vmod/vlibs/PGAOPV_DFCNQD2PO4.v", "module_name": "PGAOPV_DFCNQD2PO4", "tool_name": "graph_extractor+static_analyzer", "tool_parameters": [{"graph_type": "AIG"}, {"analysis_type": "full"}], "tool_result": "[graph_extractor {\"graph_type\": \"AIG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"AIG\",\n \"node_count\": 5,\n \"edge_count\": 4,\n \"graph_properties\": {\n \"node_types\": {\n \"$_DFF_PN0_\": 1,\n \"port_input\": 3,\n \"port_output\": 1\n },\n \"avg_degree\": 0.8,\n \"module_name\": \"PGAOPV_DFCNQD2PO4\"\n },\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"PGAOPV_DFCNQD2PO4\",\n \"port_count\": {\n \"inputs\": 3,\n \"outputs\": 1,\n \"inouts\": 0,\n \"total\": 4\n },\n \"signal_count\": {\n \"wires\": 0,\n \"regs\": 1,\n \"parameters\": 0,\n \"total\": 1\n },\n \"always_blocks\": 1,\n \"assign_statements\": 0,\n \"instantiations\": [],\n \"code_complexity\": {\n \"lines_of_code\": 19,\n \"total_lines\": 37,\n \"cyclomatic_complexity\": 4,\n \"nesting_depth\": 1,\n \"operator_count\": 193\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "category": "multi_tool", "subcategory": "graph_extractor+static_analyzer", "difficulty": "compositional", "question_hash": "19c78513480a", "stage1_target": "[{\"tool\": \"graph_extractor\", \"parameters\": {\"graph_type\": \"AIG\"}}, {\"tool\": \"static_analyzer\", \"parameters\": {\"analysis_type\": \"full\"}}]", "stage2_context": "Question: For PGAOPV_DFCNQD2PO4, does the AIG graph extraction agree with the source-level structural analysis that this is just a single asynchronously-resettable register with no extra logic, and how complex is the source despite that?\n\n[graph_extractor {\"graph_type\": \"AIG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"AIG\",\n \"node_count\": 5,\n \"edge_count\": 4,\n \"graph_properties\": {\n \"node_types\": {\n \"$_DFF_PN0_\": 1,\n \"port_input\": 3,\n \"port_output\": 1\n },\n \"avg_degree\": 0.8,\n \"module_name\": \"PGAOPV_DFCNQD2PO4\"\n },\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"PGAOPV_DFCNQD2PO4\",\n \"port_count\": {\n \"inputs\": 3,\n \"outputs\": 1,\n \"inouts\": 0,\n \"total\": 4\n },\n \"signal_count\": {\n \"wires\": 0,\n \"regs\": 1,\n \"parameters\": 0,\n \"total\": 1\n },\n \"always_blocks\": 1,\n \"assign_statements\": 0,\n \"instantiations\": [],\n \"code_complexity\": {\n \"lines_of_code\": 19,\n \"total_lines\": 37,\n \"cyclomatic_complexity\": 4,\n \"nesting_depth\": 1,\n \"operator_count\": 193\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "plan_id": "de39208c61b6", "design_id": "f585e5d99b60", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/nvdla/hw", "commit": "8e06b1b9d85aab65b40d43d08eec5ea4681ff715", "path": "vmod/vlibs/PGAOPV_DFCNQD2PO4.v", "sha256": "1c2490e2e45b8d32bc1d4b829540adb3466fda049c0ff2095521c3410b729357"}} {"question": "For NV_NVDLA_cacc, does the RTL-to-netlist signal mapping cover all the module's declared wires and ports, and given its structure (instantiated submodules, always blocks, and lint results), what does this say about the module's role and how it is mapped?", "answer": "NV_NVDLA_cacc is a purely structural top-level wrapper: it has 0 always blocks, only 1 assign statement, no lint warnings, and instantiates seven submodules such as NV_NVDLA_CACC_calculator and NV_NVDLA_CACC_assembly_buffer. All 128 RTL signals map to 128 netlist wires with an alignment score of 100.0 and 0 netlist cells, which fits its 41 ports plus 87 wires and shows that none of its logic was flattened into this level.", "source_file": "github_repos/nvdla_hw/vmod/nvdla/cacc/NV_NVDLA_cacc.v", "module_name": "NV_NVDLA_cacc", "tool_name": "cross_stage_mapper+static_analyzer", "tool_parameters": [{}, {"analysis_type": "full"}], "tool_result": "[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"mac_b2accu_data1\": [\n \"mac_b2accu_data1\"\n ],\n \"dlv_data_5\": [\n \"dlv_data_5\"\n ],\n \"reg2dp_line_packed\": [\n \"reg2dp_line_packed\"\n ],\n \"dlv_data_7\": [\n \"dlv_data_7\"\n ],\n \"reg2dp_dataout_channel\": [\n \"reg2dp_dataout_channel\"\n ],\n \"abuf_rd_data_7\": [\n \"abuf_rd_data_7\"\n ],\n \"wait_for_op_en\": [\n \"wait_for_op_en\n...[6110 chars elided]...\ndp_proc_precision\"\n ],\n \"reg2dp_op_en\": [\n \"reg2dp_op_en\"\n ],\n \"slcg_op_en\": [\n \"slcg_op_en\"\n ],\n \"dbuf_wr_addr_0\": [\n \"dbuf_wr_addr_0\"\n ],\n \"mac_a2accu_data7\": [\n \"mac_a2accu_data7\"\n ],\n \"global_clk_ovr_on_sync\": [\n \"global_clk_ovr_on_sync\"\n ],\n \"mac_a2accu_data6\": [\n \"mac_a2accu_data6\"\n ],\n \"dbuf_wr_addr_6\": [\n \"dbuf_wr_addr_6\"\n ],\n \"mac_b2accu_data0\": [\n \"mac_b2accu_data0\"\n ],\n \"abuf_wr_data_0\": [\n \"abuf_wr_data_0\"\n ],\n \"mac_a2accu_data0\": [\n \"mac_a2accu_data0\"\n ],\n \"abuf_rd_data_6\": [\n \"abuf_rd_data_6\"\n ]\n },\n \"alignment_score\": 100.0,\n \"unmapped_elements\": [],\n \"mapping_statistics\": {\n \"rtl_signals\": 128,\n \"netlist_wires\": 128,\n \"netlist_cells\": 0,\n \"mapped_signals\": 128,\n \"unmapped_signals\": 0\n },\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"NV_NVDLA_cacc\",\n \"port_count\": {\n \"inputs\": 33,\n \"outputs\": 8,\n \"inouts\": 0,\n \"total\": 41\n },\n \"signal_count\": {\n \"wires\": 87,\n \"regs\": 0,\n \"parameters\": 0,\n \"total\": 87\n },\n \"always_blocks\": 0,\n \"assign_statements\": 1,\n \"instantiations\": [\n \"NV_NVDLA_CACC_regfile\",\n \"NV_NVDLA_CACC_delivery_buffer\",\n \"NV_NVDLA_CACC_assembly_ctrl\",\n \"NV_NVDLA_CACC_assembly_buffer\",\n \"NV_NVDLA_CACC_calculator\",\n \"NV_NVDLA_CACC_delivery_ctrl\",\n \"NV_NVDLA_CACC_slcg\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 472,\n \"total_lines\": 549,\n \"cyclomatic_complexity\": 3,\n \"nesting_depth\": 0,\n \"operator_count\": 2447\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "category": "multi_tool", "subcategory": "cross_stage_mapper+static_analyzer", "difficulty": "compositional", "question_hash": "8332b1d349ed", "stage1_target": "[{\"tool\": \"cross_stage_mapper\", \"parameters\": {}}, {\"tool\": \"static_analyzer\", \"parameters\": {\"analysis_type\": \"full\"}}]", "stage2_context": "Question: For NV_NVDLA_cacc, does the RTL-to-netlist signal mapping cover all the module's declared wires and ports, and given its structure (instantiated submodules, always blocks, and lint results), what does this say about the module's role and how it is mapped?\n\n[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"mac_b2accu_data1\": [\n \"mac_b2accu_data1\"\n ],\n \"dlv_data_5\": [\n \"dlv_data_5\"\n ],\n \"reg2dp_line_packed\": [\n \"reg2dp_line_packed\"\n ],\n \"dlv_data_7\": [\n \"dlv_data_7\"\n ],\n \"reg2dp_dataout_channel\": [\n \"reg2dp_dataout_channel\"\n ],\n \"abuf_rd_data_7\": [\n \"abuf_rd_data_7\"\n ],\n \"wait_for_op_en\": [\n \"wait_for_op_en\n...[6110 chars elided]...\ndp_proc_precision\"\n ],\n \"reg2dp_op_en\": [\n \"reg2dp_op_en\"\n ],\n \"slcg_op_en\": [\n \"slcg_op_en\"\n ],\n \"dbuf_wr_addr_0\": [\n \"dbuf_wr_addr_0\"\n ],\n \"mac_a2accu_data7\": [\n \"mac_a2accu_data7\"\n ],\n \"global_clk_ovr_on_sync\": [\n \"global_clk_ovr_on_sync\"\n ],\n \"mac_a2accu_data6\": [\n \"mac_a2accu_data6\"\n ],\n \"dbuf_wr_addr_6\": [\n \"dbuf_wr_addr_6\"\n ],\n \"mac_b2accu_data0\": [\n \"mac_b2accu_data0\"\n ],\n \"abuf_wr_data_0\": [\n \"abuf_wr_data_0\"\n ],\n \"mac_a2accu_data0\": [\n \"mac_a2accu_data0\"\n ],\n \"abuf_rd_data_6\": [\n \"abuf_rd_data_6\"\n ]\n },\n \"alignment_score\": 100.0,\n \"unmapped_elements\": [],\n \"mapping_statistics\": {\n \"rtl_signals\": 128,\n \"netlist_wires\": 128,\n \"netlist_cells\": 0,\n \"mapped_signals\": 128,\n \"unmapped_signals\": 0\n },\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"NV_NVDLA_cacc\",\n \"port_count\": {\n \"inputs\": 33,\n \"outputs\": 8,\n \"inouts\": 0,\n \"total\": 41\n },\n \"signal_count\": {\n \"wires\": 87,\n \"regs\": 0,\n \"parameters\": 0,\n \"total\": 87\n },\n \"always_blocks\": 0,\n \"assign_statements\": 1,\n \"instantiations\": [\n \"NV_NVDLA_CACC_regfile\",\n \"NV_NVDLA_CACC_delivery_buffer\",\n \"NV_NVDLA_CACC_assembly_ctrl\",\n \"NV_NVDLA_CACC_assembly_buffer\",\n \"NV_NVDLA_CACC_calculator\",\n \"NV_NVDLA_CACC_delivery_ctrl\",\n \"NV_NVDLA_CACC_slcg\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 472,\n \"total_lines\": 549,\n \"cyclomatic_complexity\": 3,\n \"nesting_depth\": 0,\n \"operator_count\": 2447\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "plan_id": "de93536bbb74", "design_id": "f791bb311f14", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/nvdla/hw", "commit": "8e06b1b9d85aab65b40d43d08eec5ea4681ff715", "path": "vmod/nvdla/cacc/NV_NVDLA_cacc.v", "sha256": "790d3af0fa0acf9fa1b01a42ca6113576f0b44224e61d50993d8c9f29b90793f"}} {"question": "For p_SDFCNQD1PO4, the medium-effort synthesis reduces the design to one flop with an active-low asynchronous reset. Does that fit what the RTL-to-netlist correspondence check shows, given that the output Q is unmapped and D maps to both D and CDN? Also, what are the synthesized area, delay and gate count?", "answer": "In p_SDFCNQD1PO4, synthesis gives a single $_DFF_PN0_ cell (gate_count 1, area 1.0, delay 50.0) with arst=!\\CDN. The correspondence check matches this only in part: it gets an alignment score of 75.0, D maps to [\"D\", \"CDN\"], and Q is the one unmapped element, so the flop's output did not line up with the RTL output Q.", "source_file": "github_repos/nvdla_hw/vmod/vlibs/p_SDFCNQD1PO4.v", "module_name": "p_SDFCNQD1PO4", "tool_name": "cross_stage_mapper+synthesis_tool", "tool_parameters": [{}, {"optimization_level": "medium"}], "tool_result": "[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"D\": [\n \"D\",\n \"CDN\"\n ],\n \"Q\": [],\n \"CDN\": [\n \"CDN\"\n ],\n \"CP\": [\n \"CP\"\n ]\n },\n \"alignment_score\": 75.0,\n \"unmapped_elements\": [\n \"Q\"\n ],\n \"mapping_statistics\": {\n \"rtl_signals\": 4,\n \"netlist_wires\": 3,\n \"netlist_cells\": 0,\n \"mapped_signals\": 3,\n \"unmapped_signals\": 1\n },\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 1.0,\n \"delay\": 50.0,\n \"power\": 0.001,\n \"gate_count\": 1,\n \"cell_breakdown\": {\n \"$_DFF_PN0_\": 1\n },\n \"wire_count\": 4,\n \"wire_bits\": 4,\n \"critical_path_estimate\": 50.0,\n...[1077 chars elided]...\n \"error\": null\n}", "category": "multi_tool", "subcategory": "cross_stage_mapper+synthesis_tool", "difficulty": "compositional", "question_hash": "553cc8f2eaef", "stage1_target": "[{\"tool\": \"cross_stage_mapper\", \"parameters\": {}}, {\"tool\": \"synthesis_tool\", \"parameters\": {\"optimization_level\": \"medium\"}}]", "stage2_context": "Question: For p_SDFCNQD1PO4, the medium-effort synthesis reduces the design to one flop with an active-low asynchronous reset. Does that fit what the RTL-to-netlist correspondence check shows, given that the output Q is unmapped and D maps to both D and CDN? Also, what are the synthesized area, delay and gate count?\n\n[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"D\": [\n \"D\",\n \"CDN\"\n ],\n \"Q\": [],\n \"CDN\": [\n \"CDN\"\n ],\n \"CP\": [\n \"CP\"\n ]\n },\n \"alignment_score\": 75.0,\n \"unmapped_elements\": [\n \"Q\"\n ],\n \"mapping_statistics\": {\n \"rtl_signals\": 4,\n \"netlist_wires\": 3,\n \"netlist_cells\": 0,\n \"mapped_signals\": 3,\n \"unmapped_signals\": 1\n },\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 1.0,\n \"delay\": 50.0,\n \"power\": 0.001,\n \"gate_count\": 1,\n \"cell_breakdown\": {\n \"$_DFF_PN0_\": 1\n },\n \"wire_count\": 4,\n \"wire_bits\": 4,\n \"critical_path_estimate\": 50.0,\n...[1077 chars elided]...\n \"error\": null\n}", "plan_id": "50c646ff197a", "design_id": "f8b30886e498", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/nvdla/hw", "commit": "8e06b1b9d85aab65b40d43d08eec5ea4681ff715", "path": "vmod/vlibs/p_SDFCNQD1PO4.v", "sha256": "b145c0d63e2c5772e8d620a252ccd699787f25d3a662f6f1f130f156b7daeead"}} {"question": "For p_SDFCNQD1PO4, the RTL-to-netlist mapping leaves one signal unmapped. Does the CDFG show that signal is actually driven by the single flip-flop? And if the module is optimized for delay, how do the expected gains and trade-offs compare with how small its register structure is?", "answer": "In p_SDFCNQD1PO4 the RTL-to-netlist mapping reaches an alignment score of 75.0 and leaves Q unmapped, but the CDFG has 5 nodes and 4 edges, with a single $adff cell driving output port 5 through its Q port, so Q is a real flip-flop output that the mapping missed. The delay-targeted recipe estimates a -20.0 change in delay at the cost of 10.0 more area and 5.0 more power, which is a lot of overhead for a design that has only 1 $adff and an average degree of 0.8.", "source_file": "github_repos/nvdla_hw/vmod/vlibs/p_SDFCNQD1PO4.v", "module_name": "p_SDFCNQD1PO4", "tool_name": "cross_stage_mapper+graph_extractor+optimization_advisor", "tool_parameters": [{}, {"graph_type": "CDFG"}, {"target_metric": "delay"}], "tool_result": "[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"D\": [\n \"D\",\n \"CDN\"\n ],\n \"Q\": [],\n \"CDN\": [\n \"CDN\"\n ],\n \"CP\": [\n \"CP\"\n ]\n },\n \"alignment_score\": 75.0,\n \"unmapped_elements\": [\n \"Q\"\n ],\n \"mapping_statistics\": {\n \"rtl_signals\": 4,\n \"netlist_wires\": 3,\n \"netlist_cells\": 0,\n \"mapped_signals\": 3,\n \"unmapped_signals\": 1\n },\n \"error\": null\n}\n\n[graph_extractor {\"graph_type\": \"CDFG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"CDFG\",\n...[499 chars elided]...\n \"node_count\": 5,\n \"edge_count\": 4,\n \"graph_properties\": {\n \"node_types\": {\n \"$adff\": 1,\n \"port_input\": 3,\n \"port_output\": 1\n },\n \"avg_degree\": 0.8,\n \"module_name\": \"p_SDFCNQD1PO4\"\n },\n \"error\": null\n}\n\n[optimization_advisor {\"target_metric\": \"delay\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"delay\",\n \"recommended_recipes\": [\n \"synth -top p_SDFCNQD1PO4\",\n \"opt -fast\",\n \"abc -fast -liberty stdcells.lib\",\n \"opt_clean\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"pipeline_insertion\",\n \"description\": \"Consider pipelining arithmetic operations\",\n \"command\": \"Use register retiming\"\n },\n {\n \"type\": \"logic_duplication\",\n \"description\": \"Duplicate logic to reduce fanout\",\n \"command\": \"splitnets -driver\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": 10.0,\n \"delay\": -20.0,\n \"power\": 5.0\n },\n \"trade_offs\": [\n \"Speed optimization increases area\",\n \"Higher power consumption\"\n ],\n \"error\": null\n}", "category": "multi_tool", "subcategory": "cross_stage_mapper+graph_extractor+optimization_advisor", "difficulty": "compositional", "question_hash": "7101a531197e", "stage1_target": "[{\"tool\": \"cross_stage_mapper\", \"parameters\": {}}, {\"tool\": \"graph_extractor\", \"parameters\": {\"graph_type\": \"CDFG\"}}, {\"tool\": \"optimization_advisor\", \"parameters\": {\"target_metric\": \"delay\"}}]", "stage2_context": "Question: For p_SDFCNQD1PO4, the RTL-to-netlist mapping leaves one signal unmapped. Does the CDFG show that signal is actually driven by the single flip-flop? And if the module is optimized for delay, how do the expected gains and trade-offs compare with how small its register structure is?\n\n[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"D\": [\n \"D\",\n \"CDN\"\n ],\n \"Q\": [],\n \"CDN\": [\n \"CDN\"\n ],\n \"CP\": [\n \"CP\"\n ]\n },\n \"alignment_score\": 75.0,\n \"unmapped_elements\": [\n \"Q\"\n ],\n \"mapping_statistics\": {\n \"rtl_signals\": 4,\n \"netlist_wires\": 3,\n \"netlist_cells\": 0,\n \"mapped_signals\": 3,\n \"unmapped_signals\": 1\n },\n \"error\": null\n}\n\n[graph_extractor {\"graph_type\": \"CDFG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"CDFG\",\n...[499 chars elided]...\n \"node_count\": 5,\n \"edge_count\": 4,\n \"graph_properties\": {\n \"node_types\": {\n \"$adff\": 1,\n \"port_input\": 3,\n \"port_output\": 1\n },\n \"avg_degree\": 0.8,\n \"module_name\": \"p_SDFCNQD1PO4\"\n },\n \"error\": null\n}\n\n[optimization_advisor {\"target_metric\": \"delay\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"delay\",\n \"recommended_recipes\": [\n \"synth -top p_SDFCNQD1PO4\",\n \"opt -fast\",\n \"abc -fast -liberty stdcells.lib\",\n \"opt_clean\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"pipeline_insertion\",\n \"description\": \"Consider pipelining arithmetic operations\",\n \"command\": \"Use register retiming\"\n },\n {\n \"type\": \"logic_duplication\",\n \"description\": \"Duplicate logic to reduce fanout\",\n \"command\": \"splitnets -driver\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": 10.0,\n \"delay\": -20.0,\n \"power\": 5.0\n },\n \"trade_offs\": [\n \"Speed optimization increases area\",\n \"Higher power consumption\"\n ],\n \"error\": null\n}", "plan_id": "ec86ebd6a9e1", "design_id": "f8b30886e498", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 3, "ctx_cap": 3300, "source": {"repository": "https://github.com/nvdla/hw", "commit": "8e06b1b9d85aab65b40d43d08eec5ea4681ff715", "path": "vmod/vlibs/p_SDFCNQD1PO4.v", "sha256": "b145c0d63e2c5772e8d620a252ccd699787f25d3a662f6f1f130f156b7daeead"}} {"question": "For NV_NVDLA_RT_csb2cacc, the DFG shows how much register and mux logic? Given that, is the area-targeted recommendation to run aggressive operator sharing likely to deliver its estimated area improvement, and what trade-offs would come with it?", "answer": "The DFG of NV_NVDLA_RT_csb2cacc has 30 nodes: 6 $dffe, 6 $adff and 6 $mux cells, and no arithmetic operators, so the estimated area gain of -15.0 from \"share -aggressive\" is probably optimistic, because that command shares arithmetic operators and there are none here to share. The optimizer also lists a delay estimate of 5.0 and warns that aggressive sharing increases routing complexity, which matters in a graph that is already dense (1497 edges, average degree 49.9).", "source_file": "github_repos/nvdla_hw/vmod/nvdla/retiming/NV_NVDLA_RT_csb2cacc.v", "module_name": "NV_NVDLA_RT_csb2cacc", "tool_name": "graph_extractor+optimization_advisor", "tool_parameters": [{"graph_type": "DFG"}, {"target_metric": "area"}], "tool_result": "[graph_extractor {\"graph_type\": \"DFG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"DFG\",\n...[28628 chars elided]...\n \"node_count\": 30,\n \"edge_count\": 1497,\n \"graph_properties\": {\n \"node_types\": {\n \"$dffe\": 6,\n \"$adff\": 6,\n \"$mux\": 6,\n \"port_input\": 7,\n \"port_output\": 5\n },\n \"avg_degree\": 49.9,\n \"module_name\": \"NV_NVDLA_RT_csb2cacc\"\n },\n \"error\": null\n}\n\n[optimization_advisor {\"target_metric\": \"area\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"area\",\n \"recommended_recipes\": [\n \"synth -top NV_NVDLA_RT_csb2cacc -flatten\",\n \"opt -full; share -aggressive; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean -purge\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"resource_sharing\",\n \"description\": \"Share arithmetic operators\",\n \"command\": \"share -aggressive\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": -15.0,\n \"delay\": 5.0,\n \"power\": -10.0\n },\n \"trade_offs\": [\n \"Area optimization may increase delay\",\n \"Aggressive sharing increases routing complexity\"\n ],\n \"error\": null\n}", "category": "multi_tool", "subcategory": "graph_extractor+optimization_advisor", "difficulty": "compositional", "question_hash": "666077ff59e3", "stage1_target": "[{\"tool\": \"graph_extractor\", \"parameters\": {\"graph_type\": \"DFG\"}}, {\"tool\": \"optimization_advisor\", \"parameters\": {\"target_metric\": \"area\"}}]", "stage2_context": "Question: For NV_NVDLA_RT_csb2cacc, the DFG shows how much register and mux logic? Given that, is the area-targeted recommendation to run aggressive operator sharing likely to deliver its estimated area improvement, and what trade-offs would come with it?\n\n[graph_extractor {\"graph_type\": \"DFG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"DFG\",\n...[28628 chars elided]...\n \"node_count\": 30,\n \"edge_count\": 1497,\n \"graph_properties\": {\n \"node_types\": {\n \"$dffe\": 6,\n \"$adff\": 6,\n \"$mux\": 6,\n \"port_input\": 7,\n \"port_output\": 5\n },\n \"avg_degree\": 49.9,\n \"module_name\": \"NV_NVDLA_RT_csb2cacc\"\n },\n \"error\": null\n}\n\n[optimization_advisor {\"target_metric\": \"area\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"area\",\n \"recommended_recipes\": [\n \"synth -top NV_NVDLA_RT_csb2cacc -flatten\",\n \"opt -full; share -aggressive; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean -purge\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"resource_sharing\",\n \"description\": \"Share arithmetic operators\",\n \"command\": \"share -aggressive\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": -15.0,\n \"delay\": 5.0,\n \"power\": -10.0\n },\n \"trade_offs\": [\n \"Area optimization may increase delay\",\n \"Aggressive sharing increases routing complexity\"\n ],\n \"error\": null\n}", "plan_id": "df9bbdfbba2e", "design_id": "f91fbb0063e3", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/nvdla/hw", "commit": "8e06b1b9d85aab65b40d43d08eec5ea4681ff715", "path": "vmod/nvdla/retiming/NV_NVDLA_RT_csb2cacc.v", "sha256": "c09c5089858be7c7655aff3006ac705b07972f08d9e0f0fd9e5fbb76605ab558"}} {"question": "For the MUX2HDD2 module, does the RTL-to-netlist signal mapping stay fully aligned even though the single 2:1 multiplexer in the CDFG gets turned into separate gates after medium-effort synthesis? Also, what area and delay come out of that gate-level version?", "answer": "In MUX2HDD2, the CDFG has a single $mux node with 5 nodes and 4 edges, and medium synthesis breaks it into 3 gates (2 $_NAND_ and 1 $_ORNOT_) with area 3.5 and delay 64.88. The signal mapping stays fully aligned anyway: the alignment score is 100.0 and all 4 RTL signals map with 0 unmapped.", "source_file": "github_repos/nvdla_hw/vmod/vlibs/MUX2HDD2.v", "module_name": "MUX2HDD2", "tool_name": "cross_stage_mapper+graph_extractor+synthesis_tool", "tool_parameters": [{}, {"graph_type": "CDFG"}, {"optimization_level": "medium"}], "tool_result": "[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"I1\": [\n \"I1\"\n ],\n \"S\": [\n \"S\"\n ],\n \"Z\": [\n \"Z\"\n ],\n \"I0\": [\n \"I0\"\n ]\n },\n \"alignment_score\": 100.0,\n \"unmapped_elements\": [],\n \"mapping_statistics\": {\n \"rtl_signals\": 4,\n \"netlist_wires\": 10,\n \"netlist_cells\": 0,\n \"mapped_signals\": 4,\n \"unmapped_signals\": 0\n },\n \"error\": null\n}\n\n[graph_extractor {\"graph_type\": \"CDFG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"CDFG\",\n...[481 chars elided]...\n \"node_count\": 5,\n \"edge_count\": 4,\n \"graph_properties\": {\n \"node_types\": {\n \"$mux\": 1,\n \"port_input\": 3,\n \"port_output\": 1\n },\n \"avg_degree\": 0.8,\n \"module_name\": \"MUX2HDD2\"\n },\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 3.5,\n \"delay\": 64.88,\n \"power\": 0.003,\n \"gate_count\": 3,\n \"cell_breakdown\": {\n \"$_NAND_\": 2,\n \"$_ORNOT_\": 1\n },\n \"wire_count\": 6,\n \"wire_bits\": 6,\n \"critical_path_estimate\": 64.88,\n...[1547 chars elided]...\n \"error\": null\n}", "category": "multi_tool", "subcategory": "cross_stage_mapper+graph_extractor+synthesis_tool", "difficulty": "compositional", "question_hash": "a0d76947b6b6", "stage1_target": "[{\"tool\": \"cross_stage_mapper\", \"parameters\": {}}, {\"tool\": \"graph_extractor\", \"parameters\": {\"graph_type\": \"CDFG\"}}, {\"tool\": \"synthesis_tool\", \"parameters\": {\"optimization_level\": \"medium\"}}]", "stage2_context": "Question: For the MUX2HDD2 module, does the RTL-to-netlist signal mapping stay fully aligned even though the single 2:1 multiplexer in the CDFG gets turned into separate gates after medium-effort synthesis? Also, what area and delay come out of that gate-level version?\n\n[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"I1\": [\n \"I1\"\n ],\n \"S\": [\n \"S\"\n ],\n \"Z\": [\n \"Z\"\n ],\n \"I0\": [\n \"I0\"\n ]\n },\n \"alignment_score\": 100.0,\n \"unmapped_elements\": [],\n \"mapping_statistics\": {\n \"rtl_signals\": 4,\n \"netlist_wires\": 10,\n \"netlist_cells\": 0,\n \"mapped_signals\": 4,\n \"unmapped_signals\": 0\n },\n \"error\": null\n}\n\n[graph_extractor {\"graph_type\": \"CDFG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"CDFG\",\n...[481 chars elided]...\n \"node_count\": 5,\n \"edge_count\": 4,\n \"graph_properties\": {\n \"node_types\": {\n \"$mux\": 1,\n \"port_input\": 3,\n \"port_output\": 1\n },\n \"avg_degree\": 0.8,\n \"module_name\": \"MUX2HDD2\"\n },\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 3.5,\n \"delay\": 64.88,\n \"power\": 0.003,\n \"gate_count\": 3,\n \"cell_breakdown\": {\n \"$_NAND_\": 2,\n \"$_ORNOT_\": 1\n },\n \"wire_count\": 6,\n \"wire_bits\": 6,\n \"critical_path_estimate\": 64.88,\n...[1547 chars elided]...\n \"error\": null\n}", "plan_id": "e26e39b081c1", "design_id": "f9e9bc4e6ec7", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 3, "ctx_cap": 3300, "source": {"repository": "https://github.com/nvdla/hw", "commit": "8e06b1b9d85aab65b40d43d08eec5ea4681ff715", "path": "vmod/vlibs/MUX2HDD2.v", "sha256": "24e632a1f3093c2830cdbdf90578bcd4777b996719562db1ab4e224576c94586"}} {"question": "For NV_NVDLA_CDP_DP_nan, how well do the RTL signals line up with the synthesized netlist, and does the register-heavy cell mix after medium-effort synthesis help explain why signals like the NaN/Inf counters and nan_preproc_pd pipeline stages don't map?", "answer": "For NV_NVDLA_CDP_DP_nan, only 31 of 57 RTL signals map to the netlist (alignment score 54.39), and signals such as nan_in_num0, inf_in_count, and nan_preproc_pd1 are among the unmapped ones. Medium-effort synthesis produced 981 cells, including 346 $_DFFE_PN0P_ enable flops, with area 1086.0 and delay 398.02, so many registered signals were most likely merged or renamed into generic flop bits and no longer keep their RTL names.", "source_file": "github_repos/nvdla_hw/vmod/nvdla/cdp/NV_NVDLA_CDP_DP_nan.v", "module_name": "NV_NVDLA_CDP_DP_nan", "tool_name": "cross_stage_mapper+synthesis_tool", "tool_parameters": [{}, {"optimization_level": "medium"}], "tool_result": "[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"wdma_layer_flag\": [],\n \"nan_in_num1\": [],\n \"fp16_in_pd_3\": [\n \"fp16_in_pd_3\"\n ],\n \"dp2reg_inf_input_num\": [],\n \"mon_nan_in_count\": [],\n \"cdp_rdma2dp_pd\": [\n \"cdp_rdma2dp_pd\"\n ],\n \"waiting_for_op_en\": [],\n \"last_h\": [\n \"last_h\"\n ],\n \"nvdla_core_clk\": [\n \"nvdla_core_clk\"\n ],\n \"cdp_rdma2dp_valid\": [\n \"cdp_rdma2dp_\n...[1710 chars elided]...\n\n \"last_c\"\n ],\n \"nan_preproc_pd2\": [],\n \"fp16_in_pd_0\": [\n \"fp16_in_pd_0\"\n ],\n \"nan_preproc_pd0\": [],\n \"cube_end\": [\n \"cube_end\"\n ],\n \"op_en_load\": [\n \"op_en_load\"\n ],\n \"NaN\": []\n },\n \"alignment_score\": 54.39,\n \"unmapped_elements\": [\n \"wdma_layer_flag\",\n \"nan_in_num1\",\n \"dp2reg_inf_input_num\",\n \"mon_nan_in_count\",\n \"waiting_for_op_en\",\n \"fp16_en\",\n \"din_pvld_d1\",\n \"nan_preproc_pd1\",\n \"layer_flag\",\n \"dp2reg_nan_input_num\",\n \"inf_in_count\",\n \"nan_preproc_pd3\",\n \"idata\",\n \"inf_in_num0\",\n \"inf_in_num1\",\n \"tozero_en\",\n \"mon_inf_in_count\",\n \"nan_in_num0\",\n \"ocnt\",\n \"datin_info_d\"\n ],\n \"mapping_statistics\": {\n \"rtl_signals\": 57,\n \"netlist_wires\": 1695,\n \"netlist_cells\": 0,\n \"mapped_signals\": 31,\n \"unmapped_signals\": 26\n },\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 1086.0,\n \"delay\": 398.02,\n \"power\": 0.981,\n \"gate_count\": 981,\n \"cell_breakdown\": {\n \"$_ANDNOT_\": 124,\n \"$_AND_\": 185,\n \"$_DFFE_PN0P_\": 346,\n \"$_DFFE_PN1P_\": 1,\n \"$_DFF_PN0_\": 3,\n \"$_NAND_\": 153,\n \"$_NOR_\": 20,\n \"$_NOT_\": 6,\n \"$_ORNOT_\": 64,\n \"$_OR_\": 65,\n \"$_XNOR_\": 8,\n \"$_XOR_\": 6\n },\n \"wire_count\": 613,\n \"wire_bits\": 1249,\n \"critical_path_estimate\": 39\n...[1350 chars elided]...\n \"error\": null\n}", "category": "multi_tool", "subcategory": "cross_stage_mapper+synthesis_tool", "difficulty": "compositional", "question_hash": "744f865c7695", "stage1_target": "[{\"tool\": \"cross_stage_mapper\", \"parameters\": {}}, {\"tool\": \"synthesis_tool\", \"parameters\": {\"optimization_level\": \"medium\"}}]", "stage2_context": "Question: For NV_NVDLA_CDP_DP_nan, how well do the RTL signals line up with the synthesized netlist, and does the register-heavy cell mix after medium-effort synthesis help explain why signals like the NaN/Inf counters and nan_preproc_pd pipeline stages don't map?\n\n[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"wdma_layer_flag\": [],\n \"nan_in_num1\": [],\n \"fp16_in_pd_3\": [\n \"fp16_in_pd_3\"\n ],\n \"dp2reg_inf_input_num\": [],\n \"mon_nan_in_count\": [],\n \"cdp_rdma2dp_pd\": [\n \"cdp_rdma2dp_pd\"\n ],\n \"waiting_for_op_en\": [],\n \"last_h\": [\n \"last_h\"\n ],\n \"nvdla_core_clk\": [\n \"nvdla_core_clk\"\n ],\n \"cdp_rdma2dp_valid\": [\n \"cdp_rdma2dp_\n...[1710 chars elided]...\n\n \"last_c\"\n ],\n \"nan_preproc_pd2\": [],\n \"fp16_in_pd_0\": [\n \"fp16_in_pd_0\"\n ],\n \"nan_preproc_pd0\": [],\n \"cube_end\": [\n \"cube_end\"\n ],\n \"op_en_load\": [\n \"op_en_load\"\n ],\n \"NaN\": []\n },\n \"alignment_score\": 54.39,\n \"unmapped_elements\": [\n \"wdma_layer_flag\",\n \"nan_in_num1\",\n \"dp2reg_inf_input_num\",\n \"mon_nan_in_count\",\n \"waiting_for_op_en\",\n \"fp16_en\",\n \"din_pvld_d1\",\n \"nan_preproc_pd1\",\n \"layer_flag\",\n \"dp2reg_nan_input_num\",\n \"inf_in_count\",\n \"nan_preproc_pd3\",\n \"idata\",\n \"inf_in_num0\",\n \"inf_in_num1\",\n \"tozero_en\",\n \"mon_inf_in_count\",\n \"nan_in_num0\",\n \"ocnt\",\n \"datin_info_d\"\n ],\n \"mapping_statistics\": {\n \"rtl_signals\": 57,\n \"netlist_wires\": 1695,\n \"netlist_cells\": 0,\n \"mapped_signals\": 31,\n \"unmapped_signals\": 26\n },\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 1086.0,\n \"delay\": 398.02,\n \"power\": 0.981,\n \"gate_count\": 981,\n \"cell_breakdown\": {\n \"$_ANDNOT_\": 124,\n \"$_AND_\": 185,\n \"$_DFFE_PN0P_\": 346,\n \"$_DFFE_PN1P_\": 1,\n \"$_DFF_PN0_\": 3,\n \"$_NAND_\": 153,\n \"$_NOR_\": 20,\n \"$_NOT_\": 6,\n \"$_ORNOT_\": 64,\n \"$_OR_\": 65,\n \"$_XNOR_\": 8,\n \"$_XOR_\": 6\n },\n \"wire_count\": 613,\n \"wire_bits\": 1249,\n \"critical_path_estimate\": 39\n...[1350 chars elided]...\n \"error\": null\n}", "plan_id": "c676e2a4ccde", "design_id": "fbed0de86b04", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/nvdla/hw", "commit": "8e06b1b9d85aab65b40d43d08eec5ea4681ff715", "path": "vmod/nvdla/cdp/NV_NVDLA_CDP_DP_nan.v", "sha256": "d405af6d56f69121d51663a148f64ee16e338855373e8f3cb754fb6a4a764595"}} {"question": "For NV_NVDLA_CDP_DP_nan, the CDFG shows how many adders, multiplexers, and registers the design has. Given that breakdown, how much area reduction could an area-targeted optimization reasonably deliver, and what would it cost in delay?", "answer": "The NV_NVDLA_CDP_DP_nan CDFG has 102 nodes, including 8 $add, 12 $mux and 17 $adffe cells, so the recommended 'share -aggressive' and 'muxcover; opt' steps have adders and muxes to share. The estimated gain from area-targeted optimization is -15.0 area and -10.0 power, at a cost of +5.0 delay and more complex routing.", "source_file": "github_repos/nvdla_hw/vmod/nvdla/cdp/NV_NVDLA_CDP_DP_nan.v", "module_name": "NV_NVDLA_CDP_DP_nan", "tool_name": "graph_extractor+optimization_advisor", "tool_parameters": [{"graph_type": "CDFG"}, {"target_metric": "area"}], "tool_result": "[graph_extractor {\"graph_type\": \"CDFG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"CDFG\",\n...[59697 chars elided]...\n \"node_count\": 102,\n \"edge_count\": 1716,\n \"graph_properties\": {\n \"node_types\": {\n \"$and\": 24,\n \"$not\": 9,\n \"$or\": 1,\n \"$eq\": 1,\n \"$reduce_and\": 7,\n \"$reduce_or\": 4,\n \"$mux\": 12,\n \"$add\": 8,\n \"$adffe\": 17,\n \"$reduce_bool\": 2,\n \"$adff\": 3,\n \"port_input\": 9,\n \"port_output\": 5\n },\n \"avg_degree\": 16.82,\n \"module_name\": \"NV_NVDLA_CDP_DP_nan\"\n },\n \"error\": null\n}\n\n[optimization_advisor {\"target_metric\": \"area\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"area\",\n \"recommended_recipes\": [\n \"synth -top NV_NVDLA_CDP_DP_nan -flatten\",\n \"opt -full; share -aggressive; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean -purge\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"mux_optimization\",\n \"description\": \"Share multiplexers where possible\",\n \"command\": \"muxcover; opt\"\n },\n {\n \"type\": \"resource_sharing\",\n \"description\": \"Share arithmetic operators\",\n \"command\": \"share -aggressive\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": -15.0,\n \"delay\": 5.0,\n \"power\": -10.0\n },\n \"trade_offs\": [\n \"Area optimization may increase delay\",\n \"Aggressive sharing increases routing complexity\"\n ],\n \"error\": null\n}", "category": "multi_tool", "subcategory": "graph_extractor+optimization_advisor", "difficulty": "compositional", "question_hash": "6c2f57f6c838", "stage1_target": "[{\"tool\": \"graph_extractor\", \"parameters\": {\"graph_type\": \"CDFG\"}}, {\"tool\": \"optimization_advisor\", \"parameters\": {\"target_metric\": \"area\"}}]", "stage2_context": "Question: For NV_NVDLA_CDP_DP_nan, the CDFG shows how many adders, multiplexers, and registers the design has. Given that breakdown, how much area reduction could an area-targeted optimization reasonably deliver, and what would it cost in delay?\n\n[graph_extractor {\"graph_type\": \"CDFG\"}]\n{\n \"status\": \"success\",\n \"graph_type\": \"CDFG\",\n...[59697 chars elided]...\n \"node_count\": 102,\n \"edge_count\": 1716,\n \"graph_properties\": {\n \"node_types\": {\n \"$and\": 24,\n \"$not\": 9,\n \"$or\": 1,\n \"$eq\": 1,\n \"$reduce_and\": 7,\n \"$reduce_or\": 4,\n \"$mux\": 12,\n \"$add\": 8,\n \"$adffe\": 17,\n \"$reduce_bool\": 2,\n \"$adff\": 3,\n \"port_input\": 9,\n \"port_output\": 5\n },\n \"avg_degree\": 16.82,\n \"module_name\": \"NV_NVDLA_CDP_DP_nan\"\n },\n \"error\": null\n}\n\n[optimization_advisor {\"target_metric\": \"area\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"area\",\n \"recommended_recipes\": [\n \"synth -top NV_NVDLA_CDP_DP_nan -flatten\",\n \"opt -full; share -aggressive; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean -purge\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"mux_optimization\",\n \"description\": \"Share multiplexers where possible\",\n \"command\": \"muxcover; opt\"\n },\n {\n \"type\": \"resource_sharing\",\n \"description\": \"Share arithmetic operators\",\n \"command\": \"share -aggressive\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": -15.0,\n \"delay\": 5.0,\n \"power\": -10.0\n },\n \"trade_offs\": [\n \"Area optimization may increase delay\",\n \"Aggressive sharing increases routing complexity\"\n ],\n \"error\": null\n}", "plan_id": "20ff25fb9342", "design_id": "fbed0de86b04", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/nvdla/hw", "commit": "8e06b1b9d85aab65b40d43d08eec5ea4681ff715", "path": "vmod/nvdla/cdp/NV_NVDLA_CDP_DP_nan.v", "sha256": "d405af6d56f69121d51663a148f64ee16e338855373e8f3cb754fb6a4a764595"}} {"question": "For RAMDP_256X7_GL_M2_E2, how well do the RTL signals carry over to the gate-level netlist, and how does that fit with how large and complex the RTL source is?", "answer": "RAMDP_256X7_GL_M2_E2 has a low RTL-to-netlist alignment score of 43.08, with only 28 of 65 RTL signals mapped and 37 unmapped (for example ra_ff, wd_lat and sleep_en_or) across 18575 netlist wires. That fits a large, complicated RTL description of 1002 lines of code with 23 always blocks, 28 regs, cyclomatic complexity of 76 and nesting depth of 101, where many internal latches, flops and monitor signals don't keep their names after synthesis.", "source_file": "github_repos/nvdla_hw/vmod/rams/model/RAMDP_256X7_GL_M2_E2.v", "module_name": "RAMDP_256X7_GL_M2_E2", "tool_name": "cross_stage_mapper+static_analyzer", "tool_parameters": [{}, {"analysis_type": "full"}], "tool_result": "[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"weclk\": [\n \"weclk_d1\",\n \"weclk_d2\",\n \"weclk\",\n \"weclk_d0\"\n ],\n \"check_x\": [],\n \"ret_en_r_1p\": [],\n \"RA\": [\n \"RADR_2\",\n \"RADR_3\",\n \"RA\",\n \"RADR_6\",\n \"RADR_1\"\n ],\n \"RE\": [\n \"RE\",\n \"RET_EN\"\n ],\n \"WD\": [\n \"WD_6\",\n \"WD_3\",\n \"WD_0\",\n \"WD_4\",\n \"WD_2\"\n ],\n \"clobber_x\": [\n \n...[2239 chars elided]...\n[\n \"CLK_R\"\n ],\n \"disable_power_assertion_S1P2\": [],\n \"weclk_gating_1p\": [],\n \"we_ff\": [],\n \"addr\": [\n \"r0_addr\",\n \"w0_addr\"\n ],\n \"wa_ff\": [],\n \"clamp_o\": [\n \"clamp_o\"\n ],\n \"disable_power_assertion_S2P1\": []\n },\n \"alignment_score\": 43.08,\n \"unmapped_elements\": [\n \"check_x\",\n \"ret_en_r_1p\",\n \"ret_en_w_1p\",\n \"sleep_en_off_r_1p\",\n \"ra_ff\",\n \"weclk_gating\",\n \"rst_clk\",\n \"we_lat\",\n \"reclk_gating_1p\",\n \"dump_monitor_result\",\n \"output_valid\",\n \"data\",\n \"disable_power_assertion_S1P1\",\n \"re_lat\",\n \"wd_ff\",\n \"wd_lat\",\n \"monitor_on\",\n \"fault_mask\",\n \"sleep_en_off_w_1p\",\n \"sleep_en_or\"\n ],\n \"mapping_statistics\": {\n \"rtl_signals\": 65,\n \"netlist_wires\": 18575,\n \"netlist_cells\": 0,\n \"mapped_signals\": 28,\n \"unmapped_signals\": 37\n },\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"RAMDP_256X7_GL_M2_E2\",\n \"port_count\": {\n \"inputs\": 39,\n \"outputs\": 2,\n \"inouts\": 0,\n \"total\": 41\n },\n \"signal_count\": {\n \"wires\": 34,\n \"regs\": 28,\n \"parameters\": 6,\n \"total\": 62\n },\n \"always_blocks\": 23,\n \"assign_statements\": 31,\n \"instantiations\": [\n \"RAM_BANK_RAMDP_256X7_GL_M2_E2\",\n \"endcase\",\n \"generate\",\n \"off\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 1002,\n \"total_lines\": 1226,\n \"cyclomatic_complexity\": 76,\n \"nesting_depth\": 101,\n \"operator_count\": 2202\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "category": "multi_tool", "subcategory": "cross_stage_mapper+static_analyzer", "difficulty": "compositional", "question_hash": "bb0367d23319", "stage1_target": "[{\"tool\": \"cross_stage_mapper\", \"parameters\": {}}, {\"tool\": \"static_analyzer\", \"parameters\": {\"analysis_type\": \"full\"}}]", "stage2_context": "Question: For RAMDP_256X7_GL_M2_E2, how well do the RTL signals carry over to the gate-level netlist, and how does that fit with how large and complex the RTL source is?\n\n[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"weclk\": [\n \"weclk_d1\",\n \"weclk_d2\",\n \"weclk\",\n \"weclk_d0\"\n ],\n \"check_x\": [],\n \"ret_en_r_1p\": [],\n \"RA\": [\n \"RADR_2\",\n \"RADR_3\",\n \"RA\",\n \"RADR_6\",\n \"RADR_1\"\n ],\n \"RE\": [\n \"RE\",\n \"RET_EN\"\n ],\n \"WD\": [\n \"WD_6\",\n \"WD_3\",\n \"WD_0\",\n \"WD_4\",\n \"WD_2\"\n ],\n \"clobber_x\": [\n \n...[2239 chars elided]...\n[\n \"CLK_R\"\n ],\n \"disable_power_assertion_S1P2\": [],\n \"weclk_gating_1p\": [],\n \"we_ff\": [],\n \"addr\": [\n \"r0_addr\",\n \"w0_addr\"\n ],\n \"wa_ff\": [],\n \"clamp_o\": [\n \"clamp_o\"\n ],\n \"disable_power_assertion_S2P1\": []\n },\n \"alignment_score\": 43.08,\n \"unmapped_elements\": [\n \"check_x\",\n \"ret_en_r_1p\",\n \"ret_en_w_1p\",\n \"sleep_en_off_r_1p\",\n \"ra_ff\",\n \"weclk_gating\",\n \"rst_clk\",\n \"we_lat\",\n \"reclk_gating_1p\",\n \"dump_monitor_result\",\n \"output_valid\",\n \"data\",\n \"disable_power_assertion_S1P1\",\n \"re_lat\",\n \"wd_ff\",\n \"wd_lat\",\n \"monitor_on\",\n \"fault_mask\",\n \"sleep_en_off_w_1p\",\n \"sleep_en_or\"\n ],\n \"mapping_statistics\": {\n \"rtl_signals\": 65,\n \"netlist_wires\": 18575,\n \"netlist_cells\": 0,\n \"mapped_signals\": 28,\n \"unmapped_signals\": 37\n },\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"RAMDP_256X7_GL_M2_E2\",\n \"port_count\": {\n \"inputs\": 39,\n \"outputs\": 2,\n \"inouts\": 0,\n \"total\": 41\n },\n \"signal_count\": {\n \"wires\": 34,\n \"regs\": 28,\n \"parameters\": 6,\n \"total\": 62\n },\n \"always_blocks\": 23,\n \"assign_statements\": 31,\n \"instantiations\": [\n \"RAM_BANK_RAMDP_256X7_GL_M2_E2\",\n \"endcase\",\n \"generate\",\n \"off\"\n ],\n \"code_complexity\": {\n \"lines_of_code\": 1002,\n \"total_lines\": 1226,\n \"cyclomatic_complexity\": 76,\n \"nesting_depth\": 101,\n \"operator_count\": 2202\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "plan_id": "27872452f444", "design_id": "fd88e7dbafbd", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/nvdla/hw", "commit": "8e06b1b9d85aab65b40d43d08eec5ea4681ff715", "path": "vmod/rams/model/RAMDP_256X7_GL_M2_E2.v", "sha256": "8bfdb08a5c3b3088b2221bac751ba974524f0d7bf95e32e8b13cb7113265553c"}} {"question": "RAMDP_256X7_GL_M2_E2 synthesizes at medium effort into a lot of discrete latch and NAND cells. If we ran an area-targeted optimization flow on it, how much would we expect area and delay to change, and which suggested change best fits this cell mix?", "answer": "At medium effort, RAMDP_256X7_GL_M2_E2 synthesizes to an area of 9074.0 and a delay of 442.73, using 7860 gates, mostly 3584 $_NAND_ cells and 1792 $_DLATCH_N_ latches. The area-targeted optimization estimates an area change of -15.0 in exchange for a delay change of 5.0. Since the storage is built from discrete latches, the memory-inference suggestion (\"memory -nomap; memory_bram\") is the best fit, ahead of mux sharing or arithmetic sharing.", "source_file": "github_repos/nvdla_hw/vmod/rams/model/RAMDP_256X7_GL_M2_E2.v", "module_name": "RAMDP_256X7_GL_M2_E2", "tool_name": "optimization_advisor+synthesis_tool", "tool_parameters": [{"target_metric": "area"}, {"optimization_level": "medium"}], "tool_result": "[optimization_advisor {\"target_metric\": \"area\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"area\",\n \"recommended_recipes\": [\n \"synth -top RAMDP_256X7_GL_M2_E2 -flatten\",\n \"opt -full; share -aggressive; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean -purge\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"memory_optimization\",\n \"description\": \"Consider using memory inference for large arrays\",\n \"command\": \"memory -nomap; memory_bram\"\n },\n {\n \"type\": \"mux_optimization\",\n \"description\": \"Share multiplexers where possible\",\n \"command\": \"muxcover; opt\"\n },\n {\n \"type\": \"resource_sharing\",\n \"description\": \"Share arithmetic operators\",\n \"command\": \"share -aggressive\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": -15.0,\n \"delay\": 5.0,\n \"power\": -10.0\n },\n \"trade_offs\": [\n \"Area optimization may increase delay\",\n \"Aggressive sharing increases routing complexity\"\n ],\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 9074.0,\n \"delay\": 442.73,\n \"power\": 7.86,\n \"gate_count\": 7860,\n \"cell_breakdown\": {\n \"$_ANDNOT_\": 3,\n \"$_AND_\": 22,\n \"$_DLATCH_N_\": 1792,\n \"$_DLATCH_P_\": 25,\n \"$_NAND_\": 3584,\n \"$_NOR_\": 10,\n \"$_NOT_\": 1,\n \"$paramod$d87b5b5aa308662bbd5fec54d53a06b2508c152a\\\\vram_RAMDP_256X7_GL_M2_E2\": 1,\n \"RAM_BANK_RAMDP_256X7_GL_M2_E2\": 1\n },\n \"wire_count\": 55,\n \"wire_bits\": 89,\n \n...[1364 chars elided]...\n \"error\": null\n}", "category": "multi_tool", "subcategory": "optimization_advisor+synthesis_tool", "difficulty": "compositional", "question_hash": "5e418911529a", "stage1_target": "[{\"tool\": \"optimization_advisor\", \"parameters\": {\"target_metric\": \"area\"}}, {\"tool\": \"synthesis_tool\", \"parameters\": {\"optimization_level\": \"medium\"}}]", "stage2_context": "Question: RAMDP_256X7_GL_M2_E2 synthesizes at medium effort into a lot of discrete latch and NAND cells. If we ran an area-targeted optimization flow on it, how much would we expect area and delay to change, and which suggested change best fits this cell mix?\n\n[optimization_advisor {\"target_metric\": \"area\"}]\n{\n \"status\": \"success\",\n \"target_metric\": \"area\",\n \"recommended_recipes\": [\n \"synth -top RAMDP_256X7_GL_M2_E2 -flatten\",\n \"opt -full; share -aggressive; opt\",\n \"abc -g gates -liberty stdcells.lib\",\n \"opt_clean -purge\"\n ],\n \"optimization_suggestions\": [\n {\n \"type\": \"memory_optimization\",\n \"description\": \"Consider using memory inference for large arrays\",\n \"command\": \"memory -nomap; memory_bram\"\n },\n {\n \"type\": \"mux_optimization\",\n \"description\": \"Share multiplexers where possible\",\n \"command\": \"muxcover; opt\"\n },\n {\n \"type\": \"resource_sharing\",\n \"description\": \"Share arithmetic operators\",\n \"command\": \"share -aggressive\"\n }\n ],\n \"estimated_improvement\": {\n \"area\": -15.0,\n \"delay\": 5.0,\n \"power\": -10.0\n },\n \"trade_offs\": [\n \"Area optimization may increase delay\",\n \"Aggressive sharing increases routing complexity\"\n ],\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 9074.0,\n \"delay\": 442.73,\n \"power\": 7.86,\n \"gate_count\": 7860,\n \"cell_breakdown\": {\n \"$_ANDNOT_\": 3,\n \"$_AND_\": 22,\n \"$_DLATCH_N_\": 1792,\n \"$_DLATCH_P_\": 25,\n \"$_NAND_\": 3584,\n \"$_NOR_\": 10,\n \"$_NOT_\": 1,\n \"$paramod$d87b5b5aa308662bbd5fec54d53a06b2508c152a\\\\vram_RAMDP_256X7_GL_M2_E2\": 1,\n \"RAM_BANK_RAMDP_256X7_GL_M2_E2\": 1\n },\n \"wire_count\": 55,\n \"wire_bits\": 89,\n \n...[1364 chars elided]...\n \"error\": null\n}", "plan_id": "e95f420497c6", "design_id": "fd88e7dbafbd", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/nvdla/hw", "commit": "8e06b1b9d85aab65b40d43d08eec5ea4681ff715", "path": "vmod/rams/model/RAMDP_256X7_GL_M2_E2.v", "sha256": "8bfdb08a5c3b3088b2221bac751ba974524f0d7bf95e32e8b13cb7113265553c"}} {"question": "For NV_NVDLA_SDP_CORE_gate, how well do the RTL signals carry through to the gate-level netlist, and what does the medium-optimization synthesized netlist actually contain in terms of cells, area and delay?", "answer": "In NV_NVDLA_SDP_CORE_gate, only 14 of the 71 RTL signals map onto the netlist and 57 are unmapped, since most of them are testpoint and assertion signals that synthesis removes. The 29 netlist wires map to 0 netlist cells. At medium optimization the synthesized netlist has 8 cells, made up of 5 $_OR_ gates and 3 NV_CLK_gate_power clock-gating cells, with an area of 8.0 and a delay of 93.3.", "source_file": "github_repos/nvdla_hw/vmod/nvdla/sdp/NV_NVDLA_SDP_CORE_gate.v", "module_name": "NV_NVDLA_SDP_CORE_gate", "tool_name": "cross_stage_mapper+synthesis_tool", "tool_parameters": [{}, {"optimization_level": "medium"}], "tool_result": "[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"assert2slcg_disable_clock_gating_1\": [],\n \"testpoint_got_reset_testpoint_2_internal_nvdla_core_rstn_with_clock_testpoint_2_internal_nvdla_core_clk\": [],\n \"testpoint_2_internal_nvdla_core_rstn\": [],\n \"testpoint_4_internal_nvdla_core_clk\": [],\n \"assert2slcg_disable_clock_gating_2\": [],\n \"nvdla_core_clk\": [\n \"nvdla_core_clk\",\n \"nvdla_core_clk_slcg_0_en\n...[3891 chars elided]...\npoint_3_goal_0\",\n \"nvdla_core_clk_slcg_1_icg_override_to_ungated\",\n \"nvdla_core_clk_slcg_2_icg_override_to_gateable\",\n \"testpoint_3_internal_nvdla_core_clk\",\n \"nvdla_core_clk_slcg_0_end_of_sim_clock_enable\",\n \"testpoint_2_count_0\",\n \"assert2slcg_disable_clock_gating_0\",\n \"testpoint_0_internal_nvdla_core_clk\",\n \"testpoint_got_reset_testpoint_3_internal_nvdla_core_rstn_with_clock_testpoint_3_internal_nvdla_core_clk\",\n \"nvdla_core_clk_slcg_2_icg_override_to_ungated\",\n \"testpoint_got_reset_testpoint_5_internal_nvdla_core_rstn_with_clock_testpoint_5_internal_nvdla_core_clk\",\n \"nvdla_core_clk_slcg_2_icg_disable_eos\",\n \"nvdla_core_clk_slcg_0_icg_disable_eos\"\n ],\n \"mapping_statistics\": {\n \"rtl_signals\": 71,\n \"netlist_wires\": 29,\n \"netlist_cells\": 0,\n \"mapped_signals\": 14,\n \"unmapped_signals\": 57\n },\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 8.0,\n \"delay\": 93.3,\n \"power\": 0.008,\n \"gate_count\": 8,\n \"cell_breakdown\": {\n \"$_OR_\": 5,\n \"NV_CLK_gate_power\": 3\n },\n \"wire_count\": 16,\n \"wire_bits\": 16,\n \"critical_path_estimate\": 93.3,\n...[1103 chars elided]...\n \"error\": null\n}", "category": "multi_tool", "subcategory": "cross_stage_mapper+synthesis_tool", "difficulty": "compositional", "question_hash": "001ca78dbf3c", "stage1_target": "[{\"tool\": \"cross_stage_mapper\", \"parameters\": {}}, {\"tool\": \"synthesis_tool\", \"parameters\": {\"optimization_level\": \"medium\"}}]", "stage2_context": "Question: For NV_NVDLA_SDP_CORE_gate, how well do the RTL signals carry through to the gate-level netlist, and what does the medium-optimization synthesized netlist actually contain in terms of cells, area and delay?\n\n[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"assert2slcg_disable_clock_gating_1\": [],\n \"testpoint_got_reset_testpoint_2_internal_nvdla_core_rstn_with_clock_testpoint_2_internal_nvdla_core_clk\": [],\n \"testpoint_2_internal_nvdla_core_rstn\": [],\n \"testpoint_4_internal_nvdla_core_clk\": [],\n \"assert2slcg_disable_clock_gating_2\": [],\n \"nvdla_core_clk\": [\n \"nvdla_core_clk\",\n \"nvdla_core_clk_slcg_0_en\n...[3891 chars elided]...\npoint_3_goal_0\",\n \"nvdla_core_clk_slcg_1_icg_override_to_ungated\",\n \"nvdla_core_clk_slcg_2_icg_override_to_gateable\",\n \"testpoint_3_internal_nvdla_core_clk\",\n \"nvdla_core_clk_slcg_0_end_of_sim_clock_enable\",\n \"testpoint_2_count_0\",\n \"assert2slcg_disable_clock_gating_0\",\n \"testpoint_0_internal_nvdla_core_clk\",\n \"testpoint_got_reset_testpoint_3_internal_nvdla_core_rstn_with_clock_testpoint_3_internal_nvdla_core_clk\",\n \"nvdla_core_clk_slcg_2_icg_override_to_ungated\",\n \"testpoint_got_reset_testpoint_5_internal_nvdla_core_rstn_with_clock_testpoint_5_internal_nvdla_core_clk\",\n \"nvdla_core_clk_slcg_2_icg_disable_eos\",\n \"nvdla_core_clk_slcg_0_icg_disable_eos\"\n ],\n \"mapping_statistics\": {\n \"rtl_signals\": 71,\n \"netlist_wires\": 29,\n \"netlist_cells\": 0,\n \"mapped_signals\": 14,\n \"unmapped_signals\": 57\n },\n \"error\": null\n}\n\n[synthesis_tool {\"optimization_level\": \"medium\"}]\n{\n \"status\": \"success\",\n \"area\": 8.0,\n \"delay\": 93.3,\n \"power\": 0.008,\n \"gate_count\": 8,\n \"cell_breakdown\": {\n \"$_OR_\": 5,\n \"NV_CLK_gate_power\": 3\n },\n \"wire_count\": 16,\n \"wire_bits\": 16,\n \"critical_path_estimate\": 93.3,\n...[1103 chars elided]...\n \"error\": null\n}", "plan_id": "43bc5ba4626c", "design_id": "fdac2b29f51f", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/nvdla/hw", "commit": "8e06b1b9d85aab65b40d43d08eec5ea4681ff715", "path": "vmod/nvdla/sdp/NV_NVDLA_SDP_CORE_gate.v", "sha256": "8cdc339649b17b9d3335b2eb5ea4833cbb2c3d9c31384818b01f1355c0d37a1c"}} {"question": "For sirv_gnrl_ram, does the RTL-to-netlist signal mapping hold up against the module's port list and code structure, and how should I read the result given that the module has no logic?", "answer": "The RTL-to-netlist mapping for sirv_gnrl_ram has an alignment score of 100.0, with all 7 RTL signals mapped and 0 netlist cells. That fits the static view of 7 inputs, 0 outputs, 0 always blocks and 0 assign statements, along with 5 parameters and a cyclomatic complexity of 3. Read together, this points to a wrapper with no outputs and no synthesized logic, so the perfect score only means the ports carried through intact (for example, we maps to both wem and we). It says nothing about whether the memory itself was built correctly.", "source_file": "github_repos/riscv-mcu_e203_hbirdv2/rtl/e203/general/sirv_gnrl_ram.v", "module_name": "sirv_gnrl_ram", "tool_name": "cross_stage_mapper+static_analyzer", "tool_parameters": [{}, {"analysis_type": "full"}], "tool_result": "[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"ls\": [\n \"ls\"\n ],\n \"clk\": [\n \"clk\"\n ],\n \"ds\": [\n \"ds\"\n ],\n \"we\": [\n \"wem\",\n \"we\"\n ],\n \"rst_n\": [\n \"rst_n\"\n ],\n \"sd\": [\n \"sd\"\n ],\n \"cs\": [\n \"cs\"\n ]\n },\n \"alignment_score\": 100.0,\n \"unmapped_elements\": [],\n \"mapping_statistics\": {\n \"rtl_signals\": 7,\n \"netlist_wires\": 11,\n \"netlist_cells\": 0,\n \"mapped_signals\": 7,\n \"unmapped_signals\": 0\n },\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"sirv_gnrl_ram\",\n \"port_count\": {\n \"inputs\": 7,\n \"outputs\": 0,\n \"inouts\": 0,\n \"total\": 7\n },\n \"signal_count\": {\n \"wires\": 0,\n \"regs\": 0,\n \"parameters\": 5,\n \"total\": 0\n },\n \"always_blocks\": 0,\n \"assign_statements\": 0,\n \"instantiations\": [],\n \"code_complexity\": {\n \"lines_of_code\": 65,\n \"total_lines\": 88,\n \"cyclomatic_complexity\": 3,\n \"nesting_depth\": 0,\n \"operator_count\": 180\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "category": "multi_tool", "subcategory": "cross_stage_mapper+static_analyzer", "difficulty": "compositional", "question_hash": "f383b90f8430", "stage1_target": "[{\"tool\": \"cross_stage_mapper\", \"parameters\": {}}, {\"tool\": \"static_analyzer\", \"parameters\": {\"analysis_type\": \"full\"}}]", "stage2_context": "Question: For sirv_gnrl_ram, does the RTL-to-netlist signal mapping hold up against the module's port list and code structure, and how should I read the result given that the module has no logic?\n\n[cross_stage_mapper {}]\n{\n \"status\": \"success\",\n \"rtl_to_netlist_mapping\": {\n \"ls\": [\n \"ls\"\n ],\n \"clk\": [\n \"clk\"\n ],\n \"ds\": [\n \"ds\"\n ],\n \"we\": [\n \"wem\",\n \"we\"\n ],\n \"rst_n\": [\n \"rst_n\"\n ],\n \"sd\": [\n \"sd\"\n ],\n \"cs\": [\n \"cs\"\n ]\n },\n \"alignment_score\": 100.0,\n \"unmapped_elements\": [],\n \"mapping_statistics\": {\n \"rtl_signals\": 7,\n \"netlist_wires\": 11,\n \"netlist_cells\": 0,\n \"mapped_signals\": 7,\n \"unmapped_signals\": 0\n },\n \"error\": null\n}\n\n[static_analyzer {\"analysis_type\": \"full\"}]\n{\n \"status\": \"success\",\n \"module_name\": \"sirv_gnrl_ram\",\n \"port_count\": {\n \"inputs\": 7,\n \"outputs\": 0,\n \"inouts\": 0,\n \"total\": 7\n },\n \"signal_count\": {\n \"wires\": 0,\n \"regs\": 0,\n \"parameters\": 5,\n \"total\": 0\n },\n \"always_blocks\": 0,\n \"assign_statements\": 0,\n \"instantiations\": [],\n \"code_complexity\": {\n \"lines_of_code\": 65,\n \"total_lines\": 88,\n \"cyclomatic_complexity\": 3,\n \"nesting_depth\": 0,\n \"operator_count\": 180\n },\n \"lint_warnings\": [],\n \"error\": null\n}", "plan_id": "350069673c28", "design_id": "fed1d0fc04f4", "split": "val", "writer_model": "claude-opus-5-5", "n_calls": 2, "ctx_cap": 3300, "source": {"repository": "https://github.com/riscv-mcu/e203_hbirdv2", "commit": "9f3e34f337f5d0a1236a285871ffa2032491617a", "path": "rtl/e203/general/sirv_gnrl_ram.v", "sha256": "07ade2feda6635e67aa79821f256b21cd0db9308537906c55612ee1e74034260"}}