Training Large Language Models for Compiler Optimization

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.

Read full paper: https://arxiv.org/abs/2407.02524

Tags: Natural Language Processing, Systems and Performance, AI for Science