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FlashAttention-4 optimizes GPU kernels for memory-bandwidth

FlashAttention-4 introduces pipelined GPU kernels, 2-CTA MMA modes, and a hybrid softmax approach to better balance compute throughput against memory bandwidth constraints.

Mar 5 · · primary fetch1 sourceupdated Mar 5 ·

As GPU throughput outpaces memory bandwidth, kernels must evolve. We introduce FlashAttention-4, featuring new pipelining for maximum overlap, 2-CTA MMA modes to reduce shared memory traffic, and a hardware-software hybrid approach to softmax exponentials.

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  1. together.aiFlashAttention-4: Algorithm and Kernel Pipelining Co-Design for Asymmetric Hardware Scalingprimary