[TRITON] Tune fp4xfp4 GEMM #641
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…_model.py * Why? The idea is to have a master script that benchmarks the full set of associated kernels when given a model name. It's a little cleaner to place all kernel benchmarking scripts in /kernels and have the bench_model script call them. * How? See `bench_model.py`. Pytests are in bench_tests/
…emm_a8w8 benchmarking.
…d add --model arg
…ROCm/aiter into willz/benchmarking-improvements
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Note: This kernel was tuned on the rocm/triton compiler - the upstream Triton compiler yields fairly poor performance. |
cagrikymk
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Jul 30, 2025
* Finish tuning afp4wfp4 GEMM - increase ~2x * Improve performance on standard model (e.g Llama) shapes * Add new shape tune * Optimizing performance of default config for standard model shapes * Tune performance on N=1280,K=8192 w/compiler flags
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A few config changes to speed up the FP4xFP4 GEMM.