Meta Large Language Model Compiler
Large Language Models (LLMs) are utilized in software engineering but underused in code optimization. Meta introduces the Meta Large Language Model Compiler (LLM Compiler) for code optimization tasks. Trained on LLVM-IR and assembly code tokens, it aims to enhance compiler understanding and optimize code effectively.
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Large Language Models (LLMs) have shown significant potential in software engineering tasks, yet their use in code and compiler optimization is limited. To address this, Meta has introduced the Meta Large Language Model Compiler (LLM Compiler), a set of pre-trained models tailored for code optimization. These models, based on Code Llama, focus on enhancing understanding of compiler intermediate representations, assembly language, and optimization techniques. The LLM Compiler has been trained on a vast dataset of LLVM-IR and assembly code tokens, enabling it to interpret compiler behavior effectively. Available in 7 billion and 13 billion parameter sizes, the model has been fine-tuned to optimize code size and disassemble x86_64 and ARM assembly back into LLVM-IR. This release aims to provide a cost-effective foundation for further research in compiler optimization for both academia and industry. The model's capabilities include achieving 77% of the potential of autotuning search for optimization and 45% disassembly round trip with a 14% exact match rate.
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1 commentsRelated
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