tl.program_id(0) returns: the index of the current parallel block

tl.arange(0, BLOCK_SIZE) creates: a range of indices within the current block

Python's annual release cycle

tl.dot does in Triton: block-level matrix multiply using tensor cores

tl.dot performs block-level matrix multiplication using tensor cores in Triton

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

Block size refers to the minimal unit of data for block ciphers

tl.load and tl.store do in Triton: read/write tensors from/to GPU global memory

`tl.load` reads tensors from GPU memory; `tl.store` writes tensors to GPU memory

Triton differs from CUDA

Why does a super-fast computer sometimes run slower than a regular one?

tl.where(mask, x, 0) does: conditional select to handle boundary conditions

`tl.where(mask, x, 0) = x if mask else 0`