Naive torch.matmul uses ~1% of your GPU: a series on kernel engineering
Winter_Mistake_3185 · reddit · 2026-10-20
A Reddit post shares a GPU Kernel Engineering video series starting from a striking fact: the everyday torch.matmul(A, B), implemented naively, barely uses 1% of your GPU. The series explains why—memory bandwidth, tiling, shared memory, operator fusion—and how hand-written kernels close the gap, offering PyTorch users a systematic on-ramp to GPU performance engineering.
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