FlashAttention-2: Faster Attention with Better Parallelism and Work Partitioning¶
Authors: Dao Year: 2023 ArXiv/Link: https://arxiv.org/abs/2307.08691
Summary¶
Further optimization of FlashAttention with improved parallelism and work partitioning strategies, achieving additional speedups.
Key Concepts¶
- Parallel computation
- Work partitioning
- Memory efficiency
- GPU optimization
- Block-wise tiling
Impact¶
Continued efficiency improvements for transformer attention computation
Category¶
Attention Mechanisms