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MOSAIC: More LLMs, Less Cost through Collaborative Reasoning for Compiler Optimizations

Tang, Annabelle Sujun et al.
arXiv (All) · Papers
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artificial-intelligencemachine-learningprogramming-languages
LLM-guided compiler optimization has recently shown promise. However, current LLM-guided optimizers query a single LLM at every search step, so their cost grows with both that model's price and the search budget. A smaller model is cheaper but degrades the search: in our experiments, a recent single
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