Memory-Bound Attention: How FlashAttention-2 & 3 Outsmart GPU Memory Bandwidth
中文摘要
FlashAttention-2/3利用分块算法和异步流水线突破了LLM上下文瓶颈。
English Summary
FlashAttention-2/3 uses algorithmic tiling and async pipelines to overcome memory bandwidth bottlenecks, expanding LLM context limits.
Original Excerpt
How algorithmic tiling, async memory pipelines, and hardware tricks eliminated the LLM context wall. Continue reading on Towards AI »