xlite-dev / ffpa-attn-mma

📚FFPA(Split-D): Yet another Faster Flash Prefill Attention with O(1) SRAM complexity large headdim (D > 256), ~2x↑🎉vs SDPA EA.

Date Created 2024-11-29 (4 months ago)

Commits 247 (last one 8 days ago)

Stargazers 158 (2 this week)

Watchers 2 (0 this week)

Forks 7

License gpl-3.0

Ranking

RepositoryStats indexes 634,026 repositories, of these xlite-dev/ffpa-attn-mma is ranked #223,285 (65th percentile) for total stargazers, and #482,742 for total watchers. Github reports the primary language for this repository as Cuda, for repositories using this language it is ranked #148/393.

xlite-dev/ffpa-attn-mma is also tagged with popular topics, for these it's ranked: cuda (#348/688)

Other Information

xlite-dev/ffpa-attn-mma has Github issues enabled, there are 2 open issues and 3 closed issues.

There have been 9 releases, the latest one was published on 2025-03-17 (16 days ago) with the name v0.0.2.post4.

Homepage URL: https://zhuanlan.zhihu.com/p/13975660308

All Topics

mla cuda sdpa mlsys deepseek attention flash-mla fused-mla deepseek-r1 deepseek-v3 tensor-cores flash-attention

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Recent Commit History

247 commits on the default branch (main) since jan '22

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The primary language is Cuda but there's also others...

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updated: 2025-04-01 @ 10:36pm, id: 896023715 / R_kgDONWg8ow