Liu-xiandong / How_to_optimize_in_GPU

This is a series of GPU optimization topics. Here we will introduce how to optimize the CUDA kernel in detail. I will introduce several basic kernel optimizations, including: elementwise, reduce, sgemv, sgemm, etc. The performance of these kernels is basically at or near the theoretical limit.

Date Created 2021-10-17 (3 years ago)

Commits 58 (last one about a year ago)

Stargazers 937 (4 this week)

Watchers 13 (0 this week)

Forks 149

License apache-2.0

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RepositoryStats indexes 624,936 repositories, of these Liu-xiandong/How_to_optimize_in_GPU is ranked #56,076 (91st percentile) for total stargazers, and #161,073 for total watchers. Github reports the primary language for this repository as Cuda, for repositories using this language it is ranked #32/386.

Liu-xiandong/How_to_optimize_in_GPU is also tagged with popular topics, for these it's ranked: hpc (#32/313), high-performance-computing (#24/164)

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All Topics

hpc sgemm sgemv reduce elementwise gpu-acceleration high-performance-computing

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updated: 2025-03-10 @ 05:38am, id: 418155000 / R_kgDOGOyJ-A