https://arxiv.org/abs/2405.06127 Skip to main content Cornell University We gratefully acknowledge support from the Simons Foundation, member institutions, and all contributors. Donate arxiv logo > cs > arXiv:2405.06127 [ ] Help | Advanced Search [All fields ] Search arXiv logo Cornell University Logo [ ] GO quick links * Login * Help Pages * About Computer Science > Logic in Computer Science arXiv:2405.06127 (cs) [Submitted on 9 May 2024] Title:Efficiently Synthesizing Lowest Cost Rewrite Rules for Instruction Selection Authors:Ross Daly, Caleb Donovick, Caleb Terrill, Jackson Melchert, Priyanka Raina, Clark Barrett, Pat Hanrahan View a PDF of the paper titled Efficiently Synthesizing Lowest Cost Rewrite Rules for Instruction Selection, by Ross Daly and 6 other authors View PDF HTML (experimental) Abstract:Compiling programs to an instruction set architecture (ISA) requires a set of rewrite rules that map patterns consisting of compiler instructions to patterns consisting of ISA instructions. We synthesize such rules by constructing SMT queries, where solutions represent two functionally equivalent programs. These two programs are interpreted as an instruction selection rewrite rule. Furthermore, we address existing work's limitations by developing a set of optimizations that prevent synthesis of duplicate rules, composite rules, and higher-cost rules. We evaluate our algorithm on multiple ISAs. Without our optimizations, the majority of synthesized rewrite rules are either duplicates or higher cost. With our optimizations, we only synthesize unique and lowest-cost rules, resulting in total speedups of up to 212x. Subjects: Logic in Computer Science (cs.LO); Hardware Architecture (cs.AR) Cite as: arXiv:2405.06127 [cs.LO] (or arXiv:2405.06127v1 [cs.LO] for this version) https://doi.org/10.48550/arXiv.2405.06127 Focus to learn more arXiv-issued DOI via DataCite Submission history From: Ross Daly [view email] [v1] Thu, 9 May 2024 22:11:26 UTC (226 KB) Full-text links: Access Paper: View a PDF of the paper titled Efficiently Synthesizing Lowest Cost Rewrite Rules for Instruction Selection, by Ross Daly and 6 other authors * View PDF * HTML (experimental) * TeX Source * Other Formats license icon view license Current browse context: cs.LO < prev | next > new | recent | 2405 Change to browse by: cs cs.AR References & Citations * NASA ADS * Google Scholar * Semantic Scholar a export BibTeX citation Loading... BibTeX formatted citation x [loading... ] Data provided by: Bookmark BibSonomy logo Reddit logo (*) Bibliographic Tools Bibliographic and Citation Tools [ ] Bibliographic Explorer Toggle Bibliographic Explorer (What is the Explorer?) [ ] Litmaps Toggle Litmaps (What is Litmaps?) [ ] scite.ai Toggle scite Smart Citations (What are Smart Citations?) ( ) Code, Data, Media Code, Data and Media Associated with this Article [ ] Links to Code Toggle CatalyzeX Code Finder for Papers (What is CatalyzeX?) [ ] DagsHub Toggle DagsHub (What is DagsHub?) [ ] GotitPub Toggle Gotit.pub (What is GotitPub?) [ ] Links to Code Toggle Papers with Code (What is Papers with Code?) [ ] ScienceCast Toggle ScienceCast (What is ScienceCast?) ( ) Demos Demos [ ] Replicate Toggle Replicate (What is Replicate?) [ ] Spaces Toggle Hugging Face Spaces (What is Spaces?) [ ] Spaces Toggle TXYZ.AI (What is TXYZ.AI?) ( ) Related Papers Recommenders and Search Tools [ ] Link to Influence Flower Influence Flower (What are Influence Flowers?) [ ] Connected Papers Toggle Connected Papers (What is Connected Papers?) [ ] Core recommender toggle CORE Recommender (What is CORE?) * Author * Venue * Institution * Topic ( ) About arXivLabs arXivLabs: experimental projects with community collaborators arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them. Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs. Which authors of this paper are endorsers? | Disable MathJax (What is MathJax?) * About * Help * Click here to contact arXiv Contact * Click here to subscribe Subscribe * Copyright * Privacy Policy * Web Accessibility Assistance * arXiv Operational Status Get status notifications via email or slack