Flash-MSA: Accelerating Sparse Attention for Long Contexts
saurabhtwq · x · 2026-07-13
Introduces Flash-MSA: an open-source sparse attention kernel designed for extremely long-context training.
- Aims to replace and optimize the efficiency of dense flash attention in long-context scenarios.
- The author claims it consists of 4 simple kernels, achieving a 400%+ speedup over dense flash attention.
- The focus is on low-level optimization for training rather than the release of a new model.
Related event: Flash-MSA: Open-Sourced Sparse Attention Accelerates Million-Token Training(2 posts)→
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