Engineering-Based Thermal CFD Simulations on Massive Parallel Systems

Handle URI:
http://hdl.handle.net/10754/596994
Title:
Engineering-Based Thermal CFD Simulations on Massive Parallel Systems
Authors:
Frisch, Jérôme; Mundani, Ralf-Peter; Rank, Ernst; van Treeck, Christoph
Abstract:
The development of parallel Computational Fluid Dynamics (CFD) codes is a challenging task that entails efficient parallelization concepts and strategies in order to achieve good scalability values when running those codes on modern supercomputers with several thousands to millions of cores. In this paper, we present a hierarchical data structure for massive parallel computations that supports the coupling of a Navier–Stokes-based fluid flow code with the Boussinesq approximation in order to address complex thermal scenarios for energy-related assessments. The newly designed data structure is specifically designed with the idea of interactive data exploration and visualization during runtime of the simulation code; a major shortcoming of traditional high-performance computing (HPC) simulation codes. We further show and discuss speed-up values obtained on one of Germany’s top-ranked supercomputers with up to 140,000 processes and present simulation results for different engineering-based thermal problems.
Citation:
Frisch J, Mundani R-P, Rank E, van Treeck C (2015) Engineering-Based Thermal CFD Simulations on Massive Parallel Systems. Computation 3: 235–261. Available: http://dx.doi.org/10.3390/computation3020235.
Publisher:
MDPI AG
Journal:
Computation
KAUST Grant Number:
UK-c0020
Issue Date:
22-May-2015
DOI:
10.3390/computation3020235
Type:
Article
ISSN:
2079-3197
Sponsors:
This publication is partially based on work supported by Award No. UK-c0020, made by KAUST. Furthermore, the authors would like to thank LRZ in Germany for the support and usage of SuperMUC during their ‘Extreme Scaling Workshop’, held in June 2014, and UVT in Romania for the support and usage of their BlueGene/P.
Appears in Collections:
Publications Acknowledging KAUST Support

Full metadata record

DC FieldValue Language
dc.contributor.authorFrisch, Jérômeen
dc.contributor.authorMundani, Ralf-Peteren
dc.contributor.authorRank, Ernsten
dc.contributor.authorvan Treeck, Christophen
dc.date.accessioned2016-02-23T13:52:03Zen
dc.date.available2016-02-23T13:52:03Zen
dc.date.issued2015-05-22en
dc.identifier.citationFrisch J, Mundani R-P, Rank E, van Treeck C (2015) Engineering-Based Thermal CFD Simulations on Massive Parallel Systems. Computation 3: 235–261. Available: http://dx.doi.org/10.3390/computation3020235.en
dc.identifier.issn2079-3197en
dc.identifier.doi10.3390/computation3020235en
dc.identifier.urihttp://hdl.handle.net/10754/596994en
dc.description.abstractThe development of parallel Computational Fluid Dynamics (CFD) codes is a challenging task that entails efficient parallelization concepts and strategies in order to achieve good scalability values when running those codes on modern supercomputers with several thousands to millions of cores. In this paper, we present a hierarchical data structure for massive parallel computations that supports the coupling of a Navier–Stokes-based fluid flow code with the Boussinesq approximation in order to address complex thermal scenarios for energy-related assessments. The newly designed data structure is specifically designed with the idea of interactive data exploration and visualization during runtime of the simulation code; a major shortcoming of traditional high-performance computing (HPC) simulation codes. We further show and discuss speed-up values obtained on one of Germany’s top-ranked supercomputers with up to 140,000 processes and present simulation results for different engineering-based thermal problems.en
dc.description.sponsorshipThis publication is partially based on work supported by Award No. UK-c0020, made by KAUST. Furthermore, the authors would like to thank LRZ in Germany for the support and usage of SuperMUC during their ‘Extreme Scaling Workshop’, held in June 2014, and UVT in Romania for the support and usage of their BlueGene/P.en
dc.publisherMDPI AGen
dc.rightsThis is an open access article distributed under the Creative Commons Attribution License (CC BY) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.en
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en
dc.titleEngineering-Based Thermal CFD Simulations on Massive Parallel Systemsen
dc.typeArticleen
dc.identifier.journalComputationen
dc.contributor.institutionEnergy Efficient and Sustainable Building E3D, RWTH Aachen University, Mathieustraße 30, 52074 Aachen, Germanyen
dc.contributor.institutionComputation in Engineering, Technische Universität München, Arcisstraße 21, 80333 München, Germanyen
kaust.grant.numberUK-c0020en
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