Direct numerical simulations of reacting flows with detailed chemistry using many-core/GPU acceleration

Handle URI:
http://hdl.handle.net/10754/627433
Title:
Direct numerical simulations of reacting flows with detailed chemistry using many-core/GPU acceleration
Authors:
Hernández Pérez, Francisco E.; Mukhadiyev, Nurzhan ( 0000-0003-2974-9878 ) ; Xu, Xiao; Sow, Aliou; Lee, Bok Jik; Sankaran, Ramanan ( 0000-0002-5352-9915 ) ; Im, Hong G. ( 0000-0001-7080-1266 )
Abstract:
A new direct numerical simulation (DNS) code for multi-component gaseous reacting flows has been developed at KAUST, with the state-of-the-art programming model for next generation high performance computing platforms. The code, named KAUST Adaptive Reacting Flows Solver (KARFS), employs the MPI+X programming, and relies on Kokkos for “X” for performance portability to multi-core, many-core and GPUs, providing innovative software development while maintaining backward compatibility with established parallel models and legacy code. The capability and potential of KARFS to perform DNS of reacting flows with large, detailed reaction mechanisms is demonstrated with various model problems involving ignition and turbulent flame propagations with varying degrees of chemical complexities.
KAUST Department:
Physical Sciences and Engineering (PSE) Division; Mechanical Engineering Program; Clean Combustion Research Center
Citation:
Hernández Pérez FE, Mukhadiyev N, Xu X, Sow A, Lee BJ, et al. (2018) Direct numerical simulations of reacting flows with detailed chemistry using many-core/GPU acceleration. Computers & Fluids. Available: http://dx.doi.org/10.1016/j.compfluid.2018.03.074.
Publisher:
Elsevier BV
Journal:
Computers & Fluids
Issue Date:
29-Mar-2018
DOI:
10.1016/j.compfluid.2018.03.074
Type:
Article
ISSN:
0045-7930
Sponsors:
The research work was sponsored by King Abdullah University of Science and Technology (KAUST) and made use of the computer clusters at KAUST Supercomputing Laboratory (KSL), and resources of the Oak Ridge Leadership Computing Facility at the Oak Ridge National Laboratory, which is supported by the Office of Science of the U.S. Department of Energy under Contract No. DE-AC05-00OR22725. Bok Jik Lee was partly supported by Basic Science Research Program through the National Research Foundation of Korea funded by the Ministry of Science and ICT (2017R1A2B4003327). The authors also thank Dr. Hatem Ltaief at KSL for his assistance with the MAGMA library.
Additional Links:
http://www.sciencedirect.com/science/article/pii/S0045793018301786
Appears in Collections:
Articles; Physical Sciences and Engineering (PSE) Division; Mechanical Engineering Program; Clean Combustion Research Center

Full metadata record

DC FieldValue Language
dc.contributor.authorHernández Pérez, Francisco E.en
dc.contributor.authorMukhadiyev, Nurzhanen
dc.contributor.authorXu, Xiaoen
dc.contributor.authorSow, Aliouen
dc.contributor.authorLee, Bok Jiken
dc.contributor.authorSankaran, Ramananen
dc.contributor.authorIm, Hong G.en
dc.date.accessioned2018-04-15T05:30:33Z-
dc.date.available2018-04-15T05:30:33Z-
dc.date.issued2018-03-29en
dc.identifier.citationHernández Pérez FE, Mukhadiyev N, Xu X, Sow A, Lee BJ, et al. (2018) Direct numerical simulations of reacting flows with detailed chemistry using many-core/GPU acceleration. Computers & Fluids. Available: http://dx.doi.org/10.1016/j.compfluid.2018.03.074.en
dc.identifier.issn0045-7930en
dc.identifier.doi10.1016/j.compfluid.2018.03.074en
dc.identifier.urihttp://hdl.handle.net/10754/627433-
dc.description.abstractA new direct numerical simulation (DNS) code for multi-component gaseous reacting flows has been developed at KAUST, with the state-of-the-art programming model for next generation high performance computing platforms. The code, named KAUST Adaptive Reacting Flows Solver (KARFS), employs the MPI+X programming, and relies on Kokkos for “X” for performance portability to multi-core, many-core and GPUs, providing innovative software development while maintaining backward compatibility with established parallel models and legacy code. The capability and potential of KARFS to perform DNS of reacting flows with large, detailed reaction mechanisms is demonstrated with various model problems involving ignition and turbulent flame propagations with varying degrees of chemical complexities.en
dc.description.sponsorshipThe research work was sponsored by King Abdullah University of Science and Technology (KAUST) and made use of the computer clusters at KAUST Supercomputing Laboratory (KSL), and resources of the Oak Ridge Leadership Computing Facility at the Oak Ridge National Laboratory, which is supported by the Office of Science of the U.S. Department of Energy under Contract No. DE-AC05-00OR22725. Bok Jik Lee was partly supported by Basic Science Research Program through the National Research Foundation of Korea funded by the Ministry of Science and ICT (2017R1A2B4003327). The authors also thank Dr. Hatem Ltaief at KSL for his assistance with the MAGMA library.en
dc.publisherElsevier BVen
dc.relation.urlhttp://www.sciencedirect.com/science/article/pii/S0045793018301786en
dc.rightsNOTICE: this is the author’s version of a work that was accepted for publication in Computers & Fluids. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Computers & Fluids, [, , (2018-03-29)] DOI: 10.1016/j.compfluid.2018.03.074 . © 2018. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/en
dc.subjectDirect numerical simulationen
dc.subjectCombustionen
dc.subjectChemistry solveren
dc.subjectGPU accelerationen
dc.subjectMPI+X programmingen
dc.titleDirect numerical simulations of reacting flows with detailed chemistry using many-core/GPU accelerationen
dc.typeArticleen
dc.contributor.departmentPhysical Sciences and Engineering (PSE) Divisionen
dc.contributor.departmentMechanical Engineering Programen
dc.contributor.departmentClean Combustion Research Centeren
dc.identifier.journalComputers & Fluidsen
dc.eprint.versionPost-printen
dc.contributor.institutionGwangju Institute of Science and Technology, Gwangju 61005, Koreaen
dc.contributor.institutionOak Ridge National Laboratory, Oak Ridge, TN 37831–6008, USAen
kaust.authorHernández Pérez, Francisco E.en
kaust.authorMukhadiyev, Nurzhanen
kaust.authorXu, Xiaoen
kaust.authorSow, Aliouen
kaust.authorIm, Hong G.en
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