Using Ensemble Learning to Improve Automatic Vectorization of Tensor Contraction Program

Using Ensemble Learning to Improve Automatic Vectorization of Tensor Contraction Program

Automatic vectorization is crucial for improving the performance of computationally intensive programs. Existing compilers use conservative optimization strategies for automatic vectorization, which, in many cases, lead to the loss of vectorization opportunity. Studies have shown that the use of mac...

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Bibliographic Details
Main Authors: Hui Liu, Rongcai Zhao, Kai Nie
Format: Article
Language:English
Published: IEEE 2018-01-01
Series:IEEE Access
Subjects:
Automatic vectorization
compiler optimization
ensemble learning
program features
Online Access:https://ieeexplore.ieee.org/document/8445573/

Internet

https://ieeexplore.ieee.org/document/8445573/

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