FlashAttention and GPGPU Acceleration in Transformers ⚡

Delve into the challenges with Transformer models, including runtime inefficiencies and memory bottlenecks, and explore FlashAttention—a novel IO-aware attention algorithm. FlashAttention optimises GPU memory access through tiling and normalisation, enabling efficient block-based computation and reducing memory usage. Learn how it accelerates Transformer training, scales effectively with sequence length, and improves model accuracy. This session also highlights future plans for enhancing...