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Show HN: Sparse kernel delivering 36% higher training throughput
I developed a custom GPU kernel in Triton to accelerate training with a sparse feed-forward network (FFN).With K=256, activating 256 of 4,096 FFN neurons per token (6.25%), the sparse model achieved 36% higher training …
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