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Vectorizing unstructured mesh computations for many-core architectures

Abstract:

Achieving optimal performance on the latest multi-core and many-core architectures increasingly depends on making efficient use of the hardware's vector units. This paper presents results on achieving high performance through vectorization on CPUs and the Xeon-Phi on a key class of irregular applications: unstructured mesh computations. Using single instruction multiple thread (SIMT) and single instruction multiple data (SIMD) programming models, we show how unstructured mesh computations map...

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Publication status:
In press
Peer review status:
Peer reviewed
Version:
Accepted Manuscript

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Publisher copy:
10.1002/cpe.3621

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Institution:
University of Oxford
Department:
Oxford, MPLS, Mathematical Inst
Role:
Author
Publisher:
John Wiley and Sons, Ltd Publisher's website
Journal:
Concurrency and Computation: Practice and Experience Journal website
Publication date:
2015-01-01
DOI:
URN:
uuid:f2666c39-71fa-4b66-bac7-46e1414bd572
Source identifiers:
542345
Local pid:
pubs:542345

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