Proceedings of the 3rd Annual International Conference on Electronics, Electrical Engineering and Information Science (EEEIS 2017)

Scalability of OpenFOAM for Viscoelastic Solver on High Performance Systems

Authors
Gang HUANG, Can-Qun YANG, Xiao-Wei GUO, Cheng-Kun WU, Xiang ZHANG
Corresponding Author
Gang HUANG
Available Online September 2017.
DOI
10.2991/eeeis-17.2017.14How to use a DOI?
Keywords
Scalability, Communication Overhead, Global Reduction
Abstract

In this paper, we investigate the scalability of OpenFOAM for the viscoelastic solver which is implemented in our previous study on HPC platforms. Results show that the solver scales reasonably well up to 256 cores. Further profiling shows that the scalability is greatly restricted by global reduction, which is introduced by numerous scalar product operations of parallel PCG algorithm in OpenFOAM.

Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 3rd Annual International Conference on Electronics, Electrical Engineering and Information Science (EEEIS 2017)
Series
Advances in Engineering Research
Publication Date
September 2017
ISBN
10.2991/eeeis-17.2017.14
ISSN
2352-5401
DOI
10.2991/eeeis-17.2017.14How to use a DOI?
Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Gang HUANG
AU  - Can-Qun YANG
AU  - Xiao-Wei GUO
AU  - Cheng-Kun WU
AU  - Xiang ZHANG
PY  - 2017/09
DA  - 2017/09
TI  - Scalability of OpenFOAM for Viscoelastic Solver on High Performance Systems
BT  - Proceedings of the 3rd Annual International Conference on Electronics, Electrical Engineering and Information Science (EEEIS 2017)
PB  - Atlantis Press
SP  - 85
EP  - 91
SN  - 2352-5401
UR  - https://doi.org/10.2991/eeeis-17.2017.14
DO  - 10.2991/eeeis-17.2017.14
ID  - HUANG2017/09
ER  -