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How FlashAttention Actually Works: Tiling, SRAM Reuse, and Why It's 10x Faster

How FlashAttention Actually Works: Tiling, SRAM Reuse, and Why It's 10x Faster When Transformers process long sequences, attention is the undisputed computational bottleneck. Standard attention scales quadratically ($O(N^2)$) in both FLOPs and memory. But as sequence lengths grow past 8k, 32k, or 1…

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  1. 2026-10-19 12:48 · DEV Community — Machine Learning
    How FlashAttention Actually Works: Tiling, SRAM Reuse, and Why It's 10x Faster

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