Original sourceLavX NewsAdditional: DEV Community
Summary
A developer named sankalp, in the GPU Mode batch QR decomposition competition, used an automated Codex research loop to place 12th out of 183 participants. The system explored over 1,500 kernel submissions over 14 days, achieving a 232x speedup over the baseline torch.geqrf. Workflow: Codex generat…
Key points
- This showcases Codex's potential as an autonomous research agent; developers can learn from its methodology.
- This case proves AI can accelerate performance optimization, changing how developers conduct research and optimization.
- Developers can use AI automated research loops for complex optimization tasks, but need to be mindful of feedback infrastructure and human oversight.
Editorial note
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