DocumentCode
3609301
Title
Exploiting Very-Wide Vector Processing for Scientific Applications
Author
Diavastos, Andreas ; Stylianou, Giannos ; Koutsou, Giannis
Volume
17
Issue
6
fYear
2015
Firstpage
83
Lastpage
87
Abstract
Exploiting the recently introduced very-wide vector units of the Xeon Phi coprocessor can potentially increase the scalability for scientific applications. Using lattice QCD compute kernels, the authors find that the performance achieved using the Xeon Phi coprocessors wide vector units is similar to GPGPU performance after appropriate code refactoring, requiring moderate programming effort.
Keywords
coprocessors; natural sciences computing; quantum chromodynamics; software maintenance; vector processor systems; GPGPU performance; Xeon Phi coprocessor; code refactoring; lattice QCD compute kernels; quantum chromodynamics; scientific applications; very-wide vector processing; Bandwidth; Computer architecture; Coprocessors; Graphics processing units; Scientific computing; Xeon Phi; accelerator; coprocessor; lattice QCD; manycore; scientific computing;
fLanguage
English
Journal_Title
Computing in Science Engineering
Publisher
ieee
ISSN
1521-9615
Type
jour
DOI
10.1109/MCSE.2015.124
Filename
7310914
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