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LBM-HPC - An open-source tool for fluid simulations. Case study: Unified parallel C (UPC-PGAS)
KTH, School of Computer Science and Communication (CSC), Computational Science and Technology (CST).ORCID iD: 0000-0002-1695-8809
2015 (English)In: Proceedings - IEEE International Conference on Cluster Computing, ICCC, Institute of Electrical and Electronics Engineers (IEEE), 2015, p. 318-321Conference paper, Published paper (Refereed)
Resource type
Text
Abstract [en]

The main motivation of this work is the evaluation of the Unified Parallel C (UPC) model, for Boltzmann-fluid simulations. UPC is one of the current models in the so-called Partitioned Global Address Space paradigm. This paradigm attempts to increase the simplicity of codes and achieve a better efficiency and scalability. Two different UPC-based implementations, explicit and implicit, are presented and evaluated. We compare the fundamental features of our UPC implementations with other parallel programming model, MPI-OpenMP. In particular each of the major steps of any LBM code, i.e., Boundary Conditions, Communication, and LBM solver, are analyzed.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE), 2015. p. 318-321
Keywords [en]
CLUSTER, Lattice-Boltzmann Method, Parallel Computing, Partitioned Global Address Space (PGAS), Unified Parallel C (UPC), Application programming interfaces (API), Computational fluid dynamics, Computer architecture, MATLAB, Open source software, Parallel processing systems, Parallel programming, Fluid simulations, Fundamental features, Lattice Boltzmann method, Open source tools, Parallel programming model, Partitioned Global Address Space, Unified parallel C, Cluster computing
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:kth:diva-186854DOI: 10.1109/CLUSTER.2015.52ISI: 000378648100041Scopus ID: 2-s2.0-84959312261ISBN: 9781467365987 (print)OAI: oai:DiVA.org:kth-186854DiVA, id: diva2:937231
Conference
IEEE International Conference on Cluster Computing, CLUSTER 2015, 8 September 2015 through 11 September 2015
Note

QC 20160615

Available from: 2016-06-15 Created: 2016-05-13 Last updated: 2024-03-18Bibliographically approved

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Publisher's full textScopusLBM-HPC - An open-source tool for fluid simulations. Case study

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Jansson, Johan

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CiteExportLink to record
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Citation style
  • apa
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Language
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  • nn-NO
  • nn-NB
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  • Other locale
More languages
Output format
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