File size: 4,283 Bytes
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"recorded_date": "2026-05-18",
"platform": "RTX 3070 Ti Laptop (GA104, sm_86, Ampere)",
"note": "Local production-library reference baselines measured on this exact machine. Only locally available reference stacks are recorded here; unsupported kernels are marked unavailable instead of estimated.",
"default_valid_when": {
"require_no_throttle": true,
"allow_throttle": ["GpuIdle"],
"comment": "Same fair-run policy as data/baselines.json."
},
"schema": {
"exe": "(optional) path to reference bench executable",
"library": "(optional) local reference stack used by this bench, e.g. cuBLAS",
"match": "(optional) substring of the bench-output line that holds this reference value",
"project_kernel": "(required for comparisons) path to the project-kernel baseline entry in data/baselines.json",
"project_config": "(required for comparisons) config key in data/baselines.json to compare against",
"label": "(optional) human-readable row label for compare_reference.R output"
,"peak": "(optional) hardware peak for this workload's precision class, in the same unit as the stored metric"
},
"unsupported": [
{
"label": "Flash Attention seq=1024 b=8 h=8 d=64",
"library": "cuDNN SDPA",
"reason": "Installed cuDNN headers on this machine do not expose the graph-based SDPA frontend used for a direct local attention reference, so this row remains unmeasured locally."
},
{
"label": "GroupNorm SD 320ch",
"library": "cuDNN",
"reason": "No direct local cuDNN GroupNorm harness is implemented yet, so this row remains unmeasured locally."
}
],
"kernels": {
"kernels/reference/cublas_hgemm/bench.cu": {
"exe": "kernels/reference/cublas_hgemm/bench",
"library": "cuBLAS",
"2048_2048_2048": {
"ms": 0.600,
"gflops": 28631,
"match": "cublas_hgemm",
"peak": 174000,
"project_kernel": "kernels/gemm/hgemm/hgemm_16warp.cu",
"project_config": "2048_2048_2048",
"label": "HGEMM 16-warp 2048^3"
},
"4096_4096_4096": {
"ms": 4.626,
"gflops": 29708,
"match": "cublas_hgemm",
"peak": 174000,
"project_kernel": "kernels/gemm/hgemm/hgemm_16warp.cu",
"project_config": "4096_4096_4096",
"label": "HGEMM 16-warp 4096^3"
}
},
"kernels/reference/cublas_igemm/bench.cu": {
"exe": "kernels/reference/cublas_igemm/bench",
"library": "cuBLAS",
"4096_4096_4096": {
"ms": 4.668,
"tops": 29.44,
"match": "cublas_igemm",
"peak": 348,
"project_kernel": "kernels/gemm/igemm/igemm_pipelined_cpasync.cu",
"project_config": "4096_4096_4096",
"label": "IGEMM pipelined cp.async 4096^3"
}
},
"kernels/reference/cusparselt_igemm_sparse/bench.cu": {
"exe": "kernels/reference/cusparselt_igemm_sparse/bench",
"library": "cuSPARSELt",
"2048_2048_2048": {
"ms": 0.138,
"tops": 124.28,
"match": "cusparselt_igemm_sparse",
"peak": 348,
"project_kernel": "kernels/gemm/igemm/igemm_sparse_tiled.cu",
"project_config": "2048_2048_2048",
"label": "Sparse IGEMM tiled 2048^3"
},
"4096_4096_4096": {
"ms": 0.808,
"tops": 170.11,
"match": "cusparselt_igemm_sparse",
"peak": 348,
"project_kernel": "kernels/gemm/igemm/igemm_sparse_tiled.cu",
"project_config": "4096_4096_4096",
"label": "Sparse IGEMM tiled 4096^3"
}
},
"kernels/reference/cudnn_conv2d/bench.cu": {
"exe": "kernels/reference/cudnn_conv2d/bench",
"library": "cuDNN",
"1_64_64_320_320": {
"ms": 0.446,
"gflops": 16910,
"match": "cudnn_conv2d",
"tolerance": 0.20,
"peak": 174000,
"project_kernel": "kernels/convolution/conv2d/conv2d_implicit_gemm.cu",
"project_config": "1_64_64_320_320",
"label": "Conv2d implicit GEMM 1x64x64x320x320",
"note": "Median of repeated local cuDNN runs clusters around ~16.9 TFLOPS, but first invocation from an idle laptop state can dip into the mid-14 TFLOPS range; use a wider tolerance to avoid false regressions."
}
}
}
}
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