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Protean Compiler integrates ML for fine-grained LLVM optimization

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Researchers have developed Protean Compiler, an agile framework designed to integrate fine-grained phase ordering capabilities directly into the LLVM compiler. This framework includes over 140 static feature collection methods and aims to address the long-standing challenge of optimizing compiler phases. Experiments show speedup gains of up to 4.1% on average and up to 15.7% on select applications compared to LLVM's O3 optimization level, with minimal additional build time. The system also allows for integration with third-party ML frameworks and LLMs, demonstrating further speedup improvements on specific applications. AI

RANK_REASON This is a research paper detailing a new framework for compiler optimization. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.AI →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Protean Compiler integrates ML for fine-grained LLVM optimization

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This is a research paper detailing a new framework for compiler optimization. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [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: An Agile Framework to Drive Fine-grain Phase Ordering

    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 …

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