- Abstract:
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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...
Expand abstract - Publication status:
- Published
- Peer review status:
- Peer reviewed
- Version:
- Publisher's version
- Files:
-
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(pdf, 1.4MB)
-
- Publisher copy:
- 10.1016/j.cpc.2018.07.001
-
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- 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:
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0010-4655
- Pubs id:
-
pubs:905840
- URN:
-
uri:d1e49aa3-e60e-484e-9efe-c1c197826c03
- UUID:
-
uuid:d1e49aa3-e60e-484e-9efe-c1c197826c03
- Local pid:
- pubs:905840
- Copyright holder:
- Hadade et al.
- Copyright date:
- 2018
- Notes:
-
Copyright © 2018 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY license
(http://creativecommons.org/licenses/by/4.0/).
Journal article
Some useful optimisations for unstructured computational fluid dynamics codes on multicore and manycore architectures
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+ Engineering and Physical Sciences Research Council
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