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DOE OSTI · 1764336

Using MLIR Framework for Codesign of ML Architectures Algorithms and Simulation Tools

Lewis, Cannada·Hughes, Clayton·Hammond, Simon David·Rajamanickam, Sivasankaran
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Abstract

MLIR (Multi-Level Intermediate Representation), is an extensible compiler framework that supports high-level data structures and operation constructs. These higher-level code representations are particularly applicable to the artificial intelligence and machine learning (AI/ML) domain, allowing developers to more easily support upcoming heterogeneous AI/ML accelerators and develop flexible domain specific compilers/frameworks with higher-level intermediate representations (IRs) and advanced compiler optimizations. The result of using MLIR within the LLVM compiler framework is expected to yield significant improvement in the quality of generated machine code, which in turn will result in improved performance and hardware efficiency

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Lewis, Cannada, Hughes, Clayton, Hammond, Simon David, Rajamanickam, Sivasankaran. 2021-02-05. Using MLIR Framework for Codesign of ML Architectures Algorithms and Simulation Tools. https://doi.org/10.2172/1764336

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