A Graph-Based Learning Framework for Compiler Loop Auto-Vectorization

A Graph-Based Learning Framework for Compiler Loop Auto-Vectorization

The single instruction multiple data (SIMD) capability in modern processors is critical to improving the performance of current compute-intensive programs. Modern compilers use vectorization techniques to exploit the SIMD capability, by detecting data parallelism in scalar source code and transformi...

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Bibliographic Details
Main Authors: Yao Xiao, Nesreen K. Ahmed, Mihai Capotă, Guixiang Ma, Theodore L. Willke, Shahin Nazarian, Paul Bogdan
Format: Article
Language:English
Published: American Association for the Advancement of Science (AAAS) 2025-01-01
Series:Intelligent Computing
Online Access:https://spj.science.org/doi/10.34133/icomputing.0113
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