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Mike Young
Mike Young

Posted on • Originally published at aimodels.fyi

New ML Compiler Uses Pattern Matching to Speed Up AI Code, Verified with Formal Proofs

This is a Plain English Papers summary of a research paper called New ML Compiler Uses Pattern Matching to Speed Up AI Code, Verified with Formal Proofs. If you like these kinds of analysis, you should join AImodels.fyi or follow us on Twitter.

Overview

  • New domain-specific language called PyPM for optimizing ML computation graphs
  • Uses pattern matching and rewrite rules to improve performance
  • Built on logic programming concepts with recursive and nondeterministic capabilities
  • Formally verified using Coq proof assistant
  • Includes both declarative and algorithmic semantics

Plain English Explanation

Pattern matching in machine learning is like finding specific pieces in a puzzle. PyPM helps developers spot inefficient chunks of code in ML programs and replace them with faster vers...

Click here to read the full summary of this paper

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