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English(EN) Protean Compiler: An Agile Framework to Drive Fine-grain Phase Ordering

Protean Compiler 集成机器学习以实现细粒度LLVM优化

研究人员开发了Protean Compiler,一个旨在将细粒度阶段排序能力直接集成到LLVM编译器中的敏捷框架。该框架包含超过140种静态特征收集方法,旨在解决编译器阶段优化的长期挑战。实验表明,与LLVM的O3优化级别相比,平均速度提升高达4.1%,在特定应用程序上提升高达15.7%,同时构建时间增加极少。该系统还允许与第三方机器学习框架和LLM集成,在特定应用程序上展示了进一步的速度提升。 AI

排序理由 这是一篇研究论文,详细介绍了一个新的编译器优化框架。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.AI 阅读 →

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Protean Compiler 集成机器学习以实现细粒度LLVM优化

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这是一篇研究论文,详细介绍了一个新的编译器优化框架。[lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [1]

  1. arXiv cs.AI TIER_1 English(EN) · Amir H. Ashouri, Shayan Shirahmad Gale Bagi, Kavin Satheeskumar, Tejas Srikanth, Jonathan Zhao, Ibrahim Saidoun, Ziwen Wang, Bryan Chan, Tomasz S. Czajkowski ·

    Protean Compiler:一个驱动细粒度相位排序的敏捷框架

    arXiv:2602.06142v3 Announce Type: replace-cross Abstract: The phase ordering problem has been a long-standing challenge since the late 1970s, yet it remains an open problem due to having a vast optimization space and an unbounded nature, making it an open-ended problem without a …