GPU Kernels, Explained: CUDA, Triton, cuBLAS, torch.compile and KernelBench
When you run a neural network in PyTorch, Python is only the coordinator. Behind every tensor operation — from a simple activation to a multi-head attention block — sits one or more GPU kernels : specialized functions executed by tens of thousands of hardware threads in parallel. Heavy matrix multi…
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- 2026-11-03 05:33 · DEV Community — Machine Learning
GPU Kernels, Explained: CUDA, Triton, cuBLAS, torch.compile and KernelBench
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