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High-Level Matrix Code Optimization by yahiro.d.sakura is a document available to read on EtoBox.
What is High-Level Matrix Code Optimization about?
The paper introduces a mathematical framework for optimizing loop-based numerical codes by leveraging the semantic properties of matrix operations through an algebraic language called Abstract Matrix Form (AMF). It demonstrates that high-level matrix operations can significantly enhance performance compared to compiler-generated code, particularly in languages like FORTRAN and MATLAB. The authors present various examples and discuss the implications of their framework on compiler optimization techniques.
- Author
- yahiro.d.sakura
- Language
- EN