FlashAttention
FlashAttention is a memory-efficient, exact self-attention algorithm that speeds up Transformer training and inference by tiling computations in GPU SRAM and avoiding HBM access.
Frequently Asked Questions
How does FlashAttention optimize GPUs?▼
It avoids writing large intermediate attention matrices to GPU High Bandwidth Memory (HBM), utilizing faster SRAM.
Does FlashAttention lose precision?▼
No, it computes exact mathematical attention, not an approximation like sparse attention.
Quick Facts
- CategoryNeural Architectures
- Key ApplicationMulti-million token context training, attention training acceleration, and memory footprint reduction.
Coverage Trend12 Weeks
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