FlashAttention-3: Fast and Accurate Attention with Asynchrony and Low-precision
paper
Fields
id
sources/attn-flashattention-3-paperPublisher
arXiv
Kind
paper
Published
2024-07-11
Accessed
2026-10-04
notes
FA-3 paper (arXiv 2407.08608). Key claims: 1.5-2.0x faster than FA-2 on H100, FP16 up to 740 TFLOPs/s (75% utilization), FP8 close to 1.2 PFLOPs/s. FA-2 achieved only 35% utilization on H100. Three techniques: warp specialization with TMA, ping-pong/2-stage interleaving, FP8 with incoherent processing (Hadamard transform). Requires H100/H800, CUDA >= 12.3.
Notes
FA-3 paper (arXiv 2407.08608). Key claims: 1.5-2.0x faster than FA-2 on H100, FP16 up to 740 TFLOPs/s (75% utilization), FP8 close to 1.2 PFLOPs/s. FA-2 achieved only 35% utilization on H100. Three techniques: warp specialization with TMA, ping-pong/2-stage interleaving, FP8 with incoherent processing (Hadamard transform). Requires H100/H800, CUDA >= 12.3.
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