Preprint
Aug 2026
Effect of Abstractions and Prompting Strategies on LLM-Guided High-Performance Optimizations
It is demonstrated that LLMs provided with specific optimization goals achieve better measured performance and validity rates when generating C code compared to creating computation pipelines and optimization schedules with established frameworks, suggesting that future development should explore alternative approaches for verifiable LLM-guided code optimization.
Jiří Klepl, Matyás Brabec, Martin Kruliš
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