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Specializing Python with E-Graphs


Specializing numerical Python using e-graphs and MLIR

Python function decoration and type annotation Expression tree extraction Term rewriting and optimization using e-graphs MLIR code generation LLVM compilation and JIT execution Converts high-level MLIR operations to the LLVM dialect Applies target-specific optimizations (OpenMP or basic loops) Handles memory layout and type conversions This initialization is cached to ensure it occurs only once per Python session, which sets up the core LLVM functionality, all available target architectures, and the assembly printers necessary for code generation.

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