Accelerating Transformer Inference: A Deep Dive into the Architecture and Performance of FlashAttention

The Tyranny of Quadratic Complexity: Deconstructing the Transformer Inference Bottleneck The Transformer architecture has become the de facto standard for state-of-the-art models across numerous domains, from natural language processing to Read More …

FlashAttention: A Paradigm Shift in Hardware-Aware Transformer Efficiency

The Tyranny of Quadratic Complexity: Deconstructing the Transformer Attention Bottleneck The Transformer architecture, a cornerstone of modern artificial intelligence, is powered by the self-attention mechanism. While remarkably effective, this mechanism Read More …