| # Global Placement | |
| The global placement module in OpenROAD (`gpl`) is based on the open-source | |
| RePlAce tool, from the paper "Advancing Solution Quality and Routability Validation | |
| in Global Placement". | |
| Features: | |
| - Analytic and nonlinear placement algorithm. Solves | |
| electrostatic force equations using Nesterov's method. | |
| ([link](https://cseweb.ucsd.edu/~jlu/papers/eplace-todaes14/paper.pdf)) | |
| - Verified with various commercial technologies and research enablements using OpenDB | |
| (7/14/16/28/45/55/65nm). | |
| - Verified deterministic solution generation with various compilers and OS. | |
| - Supports Mixed-size placement mode. | |
| | <img src="./doc/image/adaptec2.inf.gif" width=350px> | <img src="./doc/image/coyote_movie.gif" width=400px> | | |
| |:--:|:--:| | |
| | Visualized examples from ISPD 2006 contest; adaptec2.inf |Real-world Design: Coyote (TSMC16 7.5T) | | |
| ## Commands | |
| ```{note} | |
| - Parameters in square brackets `[-param param]` are optional. | |
| - Parameters without square brackets `-param2 param2` are required. | |
| ``` | |
| ### Global Placement | |
| When using the `-timing_driven` flag, `gpl` does a virtual `repair_design` | |
| to find slacks and | |
| weight nets with low slack. It adjusts the worst slacks (modified with | |
| `-timing_driven_nets_percentage`) using a multiplier (modified with | |
| `-timing_driven_net_weight_max`). The multiplier | |
| is scaled from the full value for the worst slack, to 1.0 at the | |
| `timing_driven_nets_percentage` point. Use the `set_wire_rc` command to set | |
| resistance and capacitance of estimated wires used for timing. | |
| ``` | |
| global_placement | |
| [-timing_driven] | |
| [-routability_driven] | |
| [-skip_initial_place] | |
| [-incremental] | |
| [-bin_grid_count grid_count] | |
| [-density target_density] | |
| [-init_density_penalty init_density_penalty] | |
| [-init_wirelength_coef init_wirelength_coef] | |
| [-min_phi_coef min_phi_conef] | |
| [-max_phi_coef max_phi_coef] | |
| [-overflow overflow] | |
| [-initial_place_max_iter initial_place_max_iter] | |
| [-initial_place_max_fanout initial_place_max_fanout] | |
| [-pad_left pad_left] | |
| [-pad_right pad_right] | |
| [-verbose_level level] | |
| [-force_cpu] | |
| [-skip_io] | |
| [-routability_check_overflow routability_check_overflow] | |
| [-routability_max_density routability_max_density] | |
| [-routability_max_bloat_iter routability_max_bloat_iter] | |
| [-routability_max_inflation_iter routability_max_inflation_iter] | |
| [-routability_target_rc_metric routability_target_rc_metric] | |
| [-routability_inflation_ratio_coef routability_inflation_ratio_coef] | |
| [-routability_pitch_scale routability_pitch_scale] | |
| [-routability_max_inflation_ratio routability_max_inflation_ratio] | |
| [-routability_rc_coefficients routability_rc_coefficients] | |
| [-timing_driven_net_reweight_overflow] | |
| [-timing_driven_net_weight_max] | |
| [-timing_driven_nets_percentage] | |
| ``` | |
| #### General Arguments | |
| | Switch Name | Description | | |
| | ----- | ----- | | |
| | `-timing_driven` | Enable timing-driven mode. See [link](#timing-driven-arguments) for timing-specific arguments. | | |
| | `-routability_driven` | Enable routability-driven mode. See [link](#routability-driven-arguments) for routability-specific arguments. | | |
| | `-skip_initial_place` | Skip the initial placement (Biconjugate gradient stabilized, or BiCGSTAB solving) before Nesterov placement. Initial placement improves HPWL by ~5% on large designs. Equivalent to `-initial_place_max_iter 0`. | | |
| | `-incremental` | Enable the incremental global placement. Users would need to tune other parameters (e.g., `init_density_penalty`) with pre-placed solutions. | | |
| | `-bin_grid_count` | Set bin grid's counts. The internal heuristic defines the default value. Allowed values are integers `[64,128,256,512,...]`. | | |
| | `-density` | Set target density. The default value is `0.7` (i.e., 70%). Allowed values are floats `[0, 1]`. | | |
| | `-init_density_penalty` | Set initial density penalty. The default value is `8e-5`. Allowed values are floats `[1e-6, 1e6]`. | | |
| | `-init_wirelength_coef` | Set initial wirelength coefficient. The default value is `0.25`. Allowed values are floats. | | |
| | `-min_phi_coef` | Set `pcof_min` ($\mu_k$ Lower Bound). The default value is `0.95`. Allowed values are floats `[0.95, 1.05]`. | | |
| | `-max_phi_coef` | Set `pcof_max` ($\mu_k$ Upper Bound). Default value is 1.05. Allowed values are `[1.00-1.20, float]`. | | |
| | `-overflow` | Set target overflow for termination condition. The default value is `0.1`. Allowed values are floats `[0, 1]`. | | |
| | `-initial_place_max_iter` | Set maximum iterations in the initial place. The default value is 20. Allowed values are integers `[0, MAX_INT]`. | | |
| | `-initial_place_max_fanout` | Set net escape condition in initial place when $fanout \geq initial\_place\_max\_fanout$. The default value is 200. Allowed values are integers `[1, MAX_INT]`. | | |
| | `-pad_left` | Set left padding in terms of number of sites. The default value is 0, and the allowed values are integers `[1, MAX_INT]` | | |
| | `-pad_right` | Set right padding in terms of number of sites. The default value is 0, and the allowed values are integers `[1, MAX_INT]` | | |
| | `-verbose_level` | Set verbose level for `gpl`. The default value is 1. Allowed values are integers `[0, 5]`. | | |
| | `-force_cpu` | Force to use the CPU solver even if the GPU is available. | | |
| | `-skip_io` | Flag to ignore the IO ports when computing wirelength during placement. The default value is False, allowed values are boolean. | | |
| #### Routability-Driven Arguments | |
| | Switch Name | Description | | |
| | ----- | ----- | | |
| | `-routability_check_overflow` | Set overflow threshold for routability mode. The default value is `0.2`, and the allowed values are floats `[0, 1]`. | | |
| | `-routability_max_density` | Set density threshold for routability mode. The default value is `0.99`, and the allowed values are floats `[0, 1]`. | | |
| | `-routability_max_bloat_iter` | Set bloat iteration threshold for routability mode. The default value is `1`, and the allowed values are integers `[1, MAX_INT]`.| | |
| | `-routability_max_inflation_iter` | Set inflation iteration threshold for routability mode. The default value is `4`, and the allowed values are integers `[1, MAX_INT]`. | | |
| | `-routability_target_rc_metric` | Set target RC metric for routability mode. The default value is `1.25`, and the allowed values are floats. | | |
| | `-routability_inflation_ratio_coef` | Set inflation ratio coefficient for routability mode. The default value is `2.5`, and the allowed values are floats. | | |
| | `-routability_max_inflation_ratio` | Set inflation ratio threshold for routability mode. The default value is `2.5`, and the allowed values are floats. | | |
| | `-routability_rc_coefficients` | Set routability RC coefficients. It comes in the form of a Tcl List `{k1, k2, k3, k4}`. The default value for each coefficient is `{1.0, 1.0, 0.0, 0.0}` respectively, and the allowed values are floats. | | |
| #### Timing-Driven Arguments | |
| | Switch Name | Description | | |
| | ----- | ----- | | |
| | `-timing_driven_net_reweight_overflow` | Set overflow threshold for timing-driven net reweighting. Allowed value is a Tcl list of integers where each number is `[0, 100]`. | | |
| | `-timing_driven_net_weight_max` | Set the multiplier for the most timing-critical nets. The default value is `1.9`, and the allowed values are floats. | | |
| | `-timing_driven_nets_percentage` | Set the reweighted percentage of nets in timing-driven mode. The default value is 10. Allowed values are floats `[0, 100]`. | | |
| ### Useful developer functions | |
| If you are a developer, you might find these useful. More details can be found in the [source file](./src/replace.cpp) or the [swig file](./src/replace.i). | |
| ```tcl | |
| # debugging global placement | |
| global_placement_debug -pause -update -inst -draw_bins -initial | |
| # adds padding and gets global placement uniform target density | |
| get_global_placement_uniform_density -pad_left -pad_right | |
| ``` | |
| ### Cluster Flops | |
| Cluster single bit flops into multi-bit flops. | |
| ``` | |
| cluster_flops | |
| [-tray_weight tray_weight] | |
| [-timing_weight timing_weight] | |
| [-max_split_size max_split_size] | |
| [-num_paths num_paths] | |
| ``` | |
| #### General Arguments | |
| | Switch Name | Description | | |
| | ----- | ----- | | |
| | `-tray_weight` | Set the weighting factor for tray cost (recommended to be `[20.0, float]`). | | |
| | `-timing_weight` | Set the weighting factor for timing-critical paths in (recommended to be `[1.0. float]`). | | |
| | `-max_split_size` | The maximum size of a single pointset after running the pointset decomposition algorithm for runtime improvement (default = 250). | | |
| | `num_paths` | Number of timing-critical paths to consider (default = 0). | | |
| ## Example Scripts | |
| Example scripts demonstrating how to run `gpl` on a sample design on `core01` as follows: | |
| ```shell | |
| ./test/core01.tcl | |
| ``` | |
| ## Regression tests | |
| There are a set of regression tests in `./test`. For more information, refer to this [section](../../README.md#regression-tests). | |
| Simply run the following script: | |
| ```shell | |
| ./test/regression | |
| ``` | |
| ## Limitations | |
| ## Using the Python interface to gpl | |
| This API tries to stay close to the API defined in `C++` class `Replace` | |
| that is located [here](include/gpl/Replace.h). | |
| When initializing a design, a sequence of Python commands might look like | |
| the following: | |
| ```python | |
| from openroad import Design, Tech | |
| tech = Tech() | |
| tech.readLef(...) | |
| design = Design(tech) | |
| design.readDef(...) | |
| gpl = design.getReplace() | |
| ``` | |
| Here is an example of some options / configurations to the global placer. | |
| (See [Replace.h](include/gpl/Replace.h) for a complete list) | |
| ```python | |
| gpl.setInitialPlaceMaxIter(iter) | |
| gpl.setSkipIoMode(skip_io) | |
| gpl.setTimingDrivenMode(timing_driven) | |
| gpl.setTimingNetWeightMax(weight) | |
| ``` | |
| There are some useful Python functions located in the file | |
| [grt_aux.py](test/grt_aux.py) but these are not considered a part of the *final* | |
| API and they may change. | |
| ## FAQs | |
| Check out [GitHub discussion](https://github.com/The-OpenROAD-Project/OpenROAD/discussions/categories/q-a?discussions_q=category%3AQ%26A+replace+in%3Atitle) | |
| about this tool. | |
| ## References | |
| - C.-K. Cheng, A. B. Kahng, I. Kang and L. Wang, "RePlAce: Advancing | |
| Solution Quality and Routability Validation in Global Placement", IEEE | |
| Transactions on Computer-Aided Design of Integrated Circuits and Systems, | |
| 38(9) (2019), pp. 1717-1730. [(.pdf)](https://vlsicad.ucsd.edu/Publications/Journals/j126.pdf) | |
| - J. Lu, P. Chen, C.-C. Chang, L. Sha, D. J.-H. Huang, C.-C. Teng and | |
| C.-K. Cheng, "ePlace: Electrostatics based Placement using Fast Fourier | |
| Transform and Nesterov's Method", ACM TODAES 20(2) (2015), article 17. [(.pdf)](https://cseweb.ucsd.edu/~jlu/papers/eplace-todaes14/paper.pdf) | |
| - J. Lu, H. Zhuang, P. Chen, H. Chang, C.-C. Chang, Y.-C. Wong, L. Sha, | |
| D. J.-H. Huang, Y. Luo, C.-C. Teng and C.-K. Cheng, "ePlace-MS: | |
| Electrostatics based Placement for Mixed-Size Circuits", IEEE TCAD 34(5) | |
| (2015), pp. 685-698. [(.pdf)](https://cseweb.ucsd.edu/~jlu/papers/eplace-ms-tcad14/paper.pdf) | |
| - A. B. Kahng, J. Li and L. Wang, | |
| "Improved Flop Tray-Based Design Implementation for Power Reduction", | |
| IEEE/ACM ICCAD, 2016, pp. 20:1-20:8. | |
| - The timing-driven mode has been implemented by | |
| Mingyu Woo (only available in [legacy repo in standalone | |
| branch](https://github.com/The-OpenROAD-Project/RePlAce/tree/standalone).) | |
| - The routability-driven mode has been implemented by Mingyu Woo. | |
| - Timing-driven mode re-implementation is ongoing with the current | |
| clean-code structure. | |
| ## Authors | |
| - Authors/maintainer since Jan 2020: Mingyu Woo (Ph.D. Advisor: | |
| Andrew. B. Kahng) | |
| - Original open-sourcing of RePlAce: August 2018, by Ilgweon Kang | |
| (Ph.D. Advisor: Chung-Kuan Cheng), Lutong Wang (Ph.D. Advisor: Andrew | |
| B. Kahng), and Mingyu Woo (Ph.D. Advisor: Andrew B. Kahng). | |
| - Also thanks to Dr. Jingwei Lu for open-sourcing the previous | |
| ePlace-MS/ePlace project code. | |
| ## License | |
| BSD 3-Clause License. See [LICENSE](LICENSE) file. | |