Triton auto-tunes BLOCK_SIZE: different sizes optimize for different hardware

kernel fusion reduces memory bandwidth bottleneck

Kernel fusion reduces memory bandwidth bottleneck by combining multiple operations into a single kernel, minimizing data transfers

Matrix multiplication algorithm

Tiling divides matrices into smaller blocks, loading them into shared memory for efficient matrix multiplication

Flashbulb memory

Flashbulb memories are vivid but not always accurate

fused kernels do

Fused kernels combine multiple operations into one kernel to avoid memory round-trips

BLOCK_SIZE means in Triton: the tile size each program instance processes

BLOCK_SIZE in Triton refers to the size of the data chunk processed by each program instance

Triton differs from CUDA

Triton uses block-level programming, while CUDA uses thread-level programming