ScienceHacker Newsabout 3 hours ago
232x Faster Kernel via Auto-Research
1 min read
A GPU Mode contest participant placed 12th of 183 by achieving a 232x speedup over baseline in batched Householder QR factorization. The approach used blocked Householder with trailing WY-update, leveraging LLMs like Claude and GPT-5.5 for kernel optimization.
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