AutoPass uses evidence from compiler states and runtime feedback to guide LLM agents in tuning LLVM optimizations, delivering 1.043x and 1.117x geometric-mean speedups over -O3 on x86-64 and ARM64.
Awarecompiler: Agentic context-aware compiler optimization via a synergistic knowledge-data driven framework.arXiv preprint arXiv:2510.11759, 2025
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AutoPass: Evidence-Guided LLM Agents for Compiler Performance Tuning
AutoPass uses evidence from compiler states and runtime feedback to guide LLM agents in tuning LLVM optimizations, delivering 1.043x and 1.117x geometric-mean speedups over -O3 on x86-64 and ARM64.