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Performance analysis of massively-parallel computational fluid dynamics

Performance analysis of massively-parallel computational fluid dynamics
Performance analysis of massively-parallel computational fluid dynamics
As modern supercomputers edge towards exascale, their architectures are becoming more parallel. In order for computational fluid dynamics (CFD) simulations to operate efficiently on newer machines, a complete harmony between hardware, software and numerical algorithms is required. In the work presented here, a typical CFD code is instrumented, and a strong-scalability study performed to identify areas of the execution which require improvement, using the well-known KVLCC2 test case. The effects of changing discretization schemes, mesh structure, turbulence models and linear solvers are all tested. The results show that data exchange among cores and the inner-loop pre-conditioners both have a large impact on performance in a massively-parallel environment, and should be the focus of future developments.
Hawkes, J.
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Turnock, S.R.
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Cox, S.J.
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Phillips, A.B.
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Vaz, G.
7fe43ac2-1513-440b-8332-aa64d61fce9d
Hawkes, J.
ce02055e-0912-4d84-b9f1-03cced861bbd
Turnock, S.R.
d6442f5c-d9af-4fdb-8406-7c79a92b26ce
Cox, S.J.
0e62aaed-24ad-4a74-b996-f606e40e5c55
Phillips, A.B.
f565b1da-6881-4e2a-8729-c082b869028f
Vaz, G.
7fe43ac2-1513-440b-8332-aa64d61fce9d

Hawkes, J., Turnock, S.R., Cox, S.J., Phillips, A.B. and Vaz, G. (2014) Performance analysis of massively-parallel computational fluid dynamics. 11th International Conference on Hydrodynamics (ICHD 2014), Singapore, Singapore. 18 - 23 Oct 2014. 8 pp .

Record type: Conference or Workshop Item (Paper)

Abstract

As modern supercomputers edge towards exascale, their architectures are becoming more parallel. In order for computational fluid dynamics (CFD) simulations to operate efficiently on newer machines, a complete harmony between hardware, software and numerical algorithms is required. In the work presented here, a typical CFD code is instrumented, and a strong-scalability study performed to identify areas of the execution which require improvement, using the well-known KVLCC2 test case. The effects of changing discretization schemes, mesh structure, turbulence models and linear solvers are all tested. The results show that data exchange among cores and the inner-loop pre-conditioners both have a large impact on performance in a massively-parallel environment, and should be the focus of future developments.

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More information

Published date: 19 October 2014
Venue - Dates: 11th International Conference on Hydrodynamics (ICHD 2014), Singapore, Singapore, 2014-10-18 - 2014-10-23
Organisations: National Oceanography Centre, Fluid Structure Interactions Group

Identifiers

Local EPrints ID: 369873
URI: http://eprints.soton.ac.uk/id/eprint/369873
PURE UUID: b5671973-2164-4d48-9a1f-c4a94497d4c9
ORCID for S.R. Turnock: ORCID iD orcid.org/0000-0001-6288-0400
ORCID for A.B. Phillips: ORCID iD orcid.org/0000-0003-3234-8506

Catalogue record

Date deposited: 17 Oct 2014 13:36
Last modified: 15 Mar 2022 02:38

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Contributors

Author: J. Hawkes
Author: S.R. Turnock ORCID iD
Author: S.J. Cox
Author: A.B. Phillips ORCID iD
Author: G. Vaz

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