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[PR #44] [MERGED] Performance: Configuration algorithms tuned to minimize the impact of tail effects, now up to 1402 TFLOPS #217
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📋 Pull Request Information
Original PR: https://github.com/deepseek-ai/DeepGEMM/pull/44
Author: @sazczmh
Created: 3/6/2025
Status: ✅ Merged
Merged: 3/10/2025
Merged by: @LyricZhao
Base:
main← Head:main📝 Commits (3)
50cf26cPerformance: Configuration algorithms tuned to minimize the impact of tail effects, now up to 1402 TFLOPSed278edformats: Optimize get_best_configs implementationbed67b2Minor fix📊 Changes
2 files changed (+11 additions, -4 deletions)
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📝
deep_gemm/jit_kernels/gemm.py(+9 -2)📝
deep_gemm/jit_kernels/m_grouped_gemm.py(+2 -2)📄 Description
Configuration algorithms tuned to minimize the impact of tail effects, for 4096x7168x16384, approximately 1.6% performance gain.
Together with the optimization of FFMA interleaving, for 4096x7168x16384, approximately 4% performance gain,up to 1402TFLOPS
Test on H100-SXM && CUDA 12.8.
🔄 This issue represents a GitHub Pull Request. It cannot be merged through Gitea due to API limitations.