
`tl.load` reads tensors from GPU memory; `tl.store` writes tensors to GPU memory
Image: Public domain, via Wikimedia Commons
`tl.load` reads tensors from GPU memory; `tl.store` writes tensors to GPU memory
tl.dot does in Triton: block-level matrix multiply using tensor cores
tl.dot performs block-level matrix multiplication using tensor cores in Triton
to write a vector addition kernel in Triton: load blocks, add, store
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a Triton kernel is
Triton kernel: Python-based GPU programming that compiles to PTX
a Triton @triton.jit decorator does: compiles a Python function into a GPU kernel
@triton.jit decorator compiles Python function into a GPU kernel
Triton differs from CUDA
Triton uses block-level programming, while CUDA uses thread-level programming
CPU cache
L1/L2 cache hierarchy reduces global memory latency
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