Flash-MSA: Accelerating Million-Token Training
rawsh · hn · 2026-07-13
Flash-MSA proposes a sparse attention acceleration scheme for million-token training, focusing on reducing long-context training costs through a more efficient kernel design.
The core focus of the article includes:
- How to maintain trainability over ultra-long sequences
- How to leverage sparse attention kernels to boost throughput
- The practical acceleration value of this optimization for large-context training
This is more of a research/system optimization aimed at the long-context training stack, rather than just a standalone model demo.
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