#polyhedralcompilation#loopoptimization#tensoralgebra
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Advanced. Deep dive for people who know the field.
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Systems programmingProgramming languagesCompilers and interpretersPerformance and optimization
Albert Cohen provides an introduction to polyhedral compilation, a technique for optimizing array and vector operations in numeric and machine learning compilers.
Polyhedral compilation is a technique for optimizing compilation of array and vector operations, widely used in compilers for machine learning and similar numeric tasks. However, there is little material that provides an actual overview of polyhedral compilation, with most experts referring to a few papers and theses. In this series of two talks, Albert Cohen provides an overview of polyhedral compilation and describes the current state of the art.What people say. Recommended as an excellent starting point and overview for learning about polyhedral compilation.
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On “Resource to learn "Polyhedral Compilation"”