New ML Compiler Uses Pattern Matching For AI Code Optimization
New ML Compiler uses pattern matching to speed up AI code, verified with formal proofs. PyPM optimizes ML computation graphs with logic programming concepts & rewrite rules.
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...