QFlash implements end-to-end integer FlashAttention with integer-only softmax, delivering up to 8.69x speedup and 18.8% energy savings on ViT models while preserving accuracy under per-tensor quantization.
Per-head quantization assigns different scales to each head, capturing head-wise distribution differences and providing a balanced trade-off between accuracy and overhead
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QFlash: Bridging Quantization and Memory Efficiency in Vision Transformer Attention
QFlash implements end-to-end integer FlashAttention with integer-only softmax, delivering up to 8.69x speedup and 18.8% energy savings on ViT models while preserving accuracy under per-tensor quantization.