Training Large Language Models for Compiler Optimization
Natural Language Processing
Systems and Performance
AI for Science
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About this paper
The research paper discusses the development of LLM Compiler, a model specifically trained on compiler IRs and assembly code for optimizing code efficiently. This approach outperforms traditional techniques and existing LLMs in tasks like flag tuning and disassembly, showing potential for automating and improving the optimization process in software engineering.