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

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

doi:10.1016/j.compfluid.2018.03.074

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

Journal Article · Thu Mar 29 00:00:00 EDT 2018 · Computers and Fluids

DOI:https://doi.org/10.1016/j.compfluid.2018.03.074· OSTI ID:1784203

Hernández Pérez, Francisco E. ^[1]; Mukhadiyev, Nurzhan ^[1]; Xu, Xiao ^[1]; Sow, Aliou ^[1]; Lee, Bok Jik ^[2]; ^[3]; ^[1]

King Abdullah University of Science and Technology (KAUST), Thuwal (Saudi Arabia). Clean Combustion Research Center
Gwangju Inst. of Science and Technology (South Korea)
Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)

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. Furthermore, 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.

Research Organization:: Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)

Sponsoring Organization:: National Research Foundation of Korea (NRF); USDOE; USDOE Office of Science (SC), Basic Energy Sciences (BES)

Grant/Contract Number:: AC05-00OR22725

OSTI ID:: 1784203

Alternate ID(s):: OSTI ID: 1712524
OSTI ID: 1565647

Journal Information:: Computers and Fluids, Journal Name: Computers and Fluids Vol. 173; ISSN 0045-7930

Publisher:: ElsevierCopyright Statement

Country of Publication:: United States

Language:: English

References (10)

Semi-automatic porting of a large-scale Fortran CFD code to GPUs Corrigan, Andrew; Camelli, Fernando; Löhner, Rainald International Journal for Numerical Methods in Fluids, Vol. 69, Issue 2 https://doi.org/10.1002/fld.2560	journal	May 2011
A comprehensive kinetic mechanism for CO, CH ₂ O, and CH ₃ OH combustion : Comprehensive Kinetic Mechanism for CO, CH Li, Juan; Zhao, Zhenwei; Kazakov, Andrei International Journal of Chemical Kinetics, Vol. 39, Issue 3 https://doi.org/10.1002/kin.20218	journal	January 2007
Comprehensive H2/O2 kinetic model for high-pressure combustion Burke, Michael P.; Chaos, Marcos; Ju, Yiguang International Journal of Chemical Kinetics, Vol. 44, Issue 7 https://doi.org/10.1002/kin.20603	journal	December 2011
Recent progress and challenges in exploiting graphics processors in computational fluid dynamics Niemeyer, Kyle E.; Sung, Chih-Jen The Journal of Supercomputing, Vol. 67, Issue 2 https://doi.org/10.1007/s11227-013-1015-7	journal	September 2013
Several new numerical methods for compressible shear-layer simulations Kennedy, Christopher A.; Carpenter, Mark H. Applied Numerical Mathematics, Vol. 14, Issue 4 https://doi.org/10.1016/0168-9274(94)00004-2	journal	June 1994
Comprehensive chemical kinetic modeling of the oxidation of 2-methylalkanes from C7 to C20 Sarathy, S. M.; Westbrook, C. K.; Mehl, M. Combustion and Flame, Vol. 158, Issue 12 https://doi.org/10.1016/j.combustflame.2011.05.007	journal	December 2011
Kinetic modeling of gasoline surrogate components and mixtures under engine conditions Mehl, Marco; Pitz, William J.; Westbrook, Charles K. Proceedings of the Combustion Institute, Vol. 33, Issue 1 https://doi.org/10.1016/j.proci.2010.05.027	journal	January 2011
Numerical and experimental investigation of turbulent DME jet flames Bhagatwala, Ankit; Luo, Zhaoyu; Shen, Han Proceedings of the Combustion Institute, Vol. 35, Issue 2 https://doi.org/10.1016/j.proci.2014.05.147	journal	January 2015
Characteristic boundary conditions for simulations of compressible reacting flows with multi-dimensional, viscous and reaction effects Yoo, C. S.; Im, H. G. Combustion Theory and Modelling, Vol. 11, Issue 2 https://doi.org/10.1080/13647830600898995	journal	April 2007
SUNDIALS: Suite of nonlinear and differential/algebraic equation solvers Hindmarsh, Alan C.; Brown, Peter N.; Grant, Keith E. ACM Transactions on Mathematical Software, Vol. 31, Issue 3 https://doi.org/10.1145/1089014.1089020	journal	September 2005

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37 INORGANIC, ORGANIC, PHYSICAL, AND ANALYTICAL CHEMISTRY
97 MATHEMATICS AND COMPUTING
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Direct numerical simulations of reacting flows with detailed chemistry using many-core/GPU acceleration

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