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Some useful optimisations for unstructured computational fluid dynamics codes on multicore and manycore architectures

Abstract:

This paper presents a number of optimisations for improving the performance of unstructured computational fluid dynamics codes on multicore and manycore architectures such as the Intel Sandy Bridge, Broadwell and Skylake CPUs and the Intel Xeon Phi Knights Corner and Knights Landing manycore processors. We discuss and demonstrate their implementation in two distinct classes of computational kernels: face-based loops represented by the computation of fluxes and cell-based loops representing up...

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Publication status:
Published
Peer review status:
Peer reviewed
Version:
Publisher's version

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Publisher copy:
10.1016/j.cpc.2018.07.001

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Institution:
University of Oxford
Division:
MPLS Division
Department:
Engineering Science
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MPLS Division
Department:
Engineering Science
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MPLS Division
Department:
Engineering Science
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MPLS Division
Department:
Engineering Science
Role:
Author
More from this funder
Grant:
Industrial CASE Award 13220161
Publisher:
Elsevier Publisher's website
Journal:
Computer Physics Communications Journal website
Volume:
235
Pages:
305-323
Publication date:
2018-07-18
Acceptance date:
2018-07-05
DOI:
ISSN:
0010-4655
Pubs id:
pubs:905840
URN:
uri:d1e49aa3-e60e-484e-9efe-c1c197826c03
UUID:
uuid:d1e49aa3-e60e-484e-9efe-c1c197826c03
Local pid:
pubs:905840

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