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

tensor cores do 4x4 matrix multiply in one clock cycle

Tensor cores perform 4x4 matrix multiply using optimized GEMM (General Matrix Multiply) instructions in one clock cycle

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

a Triton kernel is

Triton kernel: Python-based GPU programming that compiles to PTX

Triton differs from CUDA

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

to write a vector addition kernel in Triton: load blocks, add, store

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tensor cores are

Tensor cores are specialized hardware for matrix multiply-accumulate on GPU