💻 computer science
Effect of Abstractions and Prompting Strategies on LLM-Guided High-Performance Optimizations
This paper demonstrates that for parallel HPC applications, directly prompting Large Language Models to generate optimized C code with specific goals yields better performance and validity than relying on traditional domain-specific abstractions and auto-tuning frameworks.
Original paper licensed under CC BY 4.0 (http://creativecommons.org/licenses/by/4.0/). This is an AI-generated explanation of the paper below. It is not written or endorsed by the authors. For technical accuracy, refer to the original paper. Read full disclaimer
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