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

Francisco E. Hernández Pérez; Nurzhan Mukhadiyev; Xiao Xu; Aliou Sow; Bok Jik Lee; Ramanan Sankaran; Hong G. Im

doi:10.1016/j.compfluid.2018.03.074

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

Francisco E. Hernández Pérez, Nurzhan Mukhadiyev, Xiao Xu, Aliou Sow, Bok Jik Lee, Ramanan Sankaran, Hong G. Im^*

^*Corresponding author for this work

Mechanical Engineering

Research output: Contribution to journal › Article › peer-review

63 Scopus citations

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.

Original language	English (US)
Pages (from-to)	73-79
Number of pages	7
Journal	Computers and Fluids
Volume	173
DOIs	https://doi.org/10.1016/j.compfluid.2018.03.074
State	Published - Sep 15 2018

Bibliographical note

Publisher Copyright:
© 2018

Keywords

Chemistry solver
Combustion
Direct numerical simulation
GPU acceleration
MPI+X programming

ASJC Scopus subject areas

General Computer Science
General Engineering

Access to Document

10.1016/j.compfluid.2018.03.074

Cite this

@article{dc5bf6f987904bada40a2e69a51ebf55,

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

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.",

keywords = "Chemistry solver, Combustion, Direct numerical simulation, GPU acceleration, MPI+X programming",

author = "{Hern{\'a}ndez P{\'e}rez}, {Francisco E.} and Nurzhan Mukhadiyev and Xiao Xu and Aliou Sow and Lee, {Bok Jik} and Ramanan Sankaran and Im, {Hong G.}",

note = "Publisher Copyright: {\textcopyright} 2018",

year = "2018",

month = sep,

day = "15",

doi = "10.1016/j.compfluid.2018.03.074",

language = "English (US)",

volume = "173",

pages = "73--79",

journal = "Computers and Fluids",

issn = "0045-7930",

publisher = "Elsevier",

}

TY - JOUR

T1 - Direct numerical simulations of reacting flows with detailed chemistry using many-core/GPU acceleration

AU - Hernández Pérez, Francisco E.

AU - Mukhadiyev, Nurzhan

AU - Xu, Xiao

AU - Sow, Aliou

AU - Lee, Bok Jik

AU - Sankaran, Ramanan

AU - Im, Hong G.

PY - 2018/9/15

Y1 - 2018/9/15

N2 - 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.

AB - 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.

KW - Chemistry solver

KW - Combustion

KW - Direct numerical simulation

KW - GPU acceleration

KW - MPI+X programming

UR - http://www.scopus.com/inward/record.url?scp=85045020100&partnerID=8YFLogxK

U2 - 10.1016/j.compfluid.2018.03.074

DO - 10.1016/j.compfluid.2018.03.074

M3 - Article

AN - SCOPUS:85045020100

SN - 0045-7930

VL - 173

SP - 73

EP - 79

JO - Computers and Fluids

JF - Computers and Fluids

ER -

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

Abstract

Bibliographical note

Keywords

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this