Tensor cores are specialized hardware for matrix multiply-accumulate on GPU
Image: Qdrddr, CC BY-SA 4.0, via Wikimedia Commons
Tensor cores are specialized hardware for matrix multiply-accumulate on GPU
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
quantization to INT8 doubles throughput
Quantization to INT8 doubles throughput because tensor cores process INT8 2x faster
CUDA
CUDA enables parallel computation on GPUs
tl.dot does in Triton: block-level matrix multiply using tensor cores
tl.dot performs block-level matrix multiplication using tensor cores in Triton
TensorRT does: NVIDIA's inference optimizer that quantizes and fuses operations
TensorRT optimizes deep learning inference by quantizing and fusing operations for NVIDIA GPUs
a Triton kernel is
Triton kernel: Python-based GPU programming that compiles to PTX
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