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

Research output: Contribution to journalArticlepeer-review

35 Scopus citations


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 languageEnglish (US)
Pages (from-to)73-79
Number of pages7
JournalComputers and Fluids
StatePublished - Sep 15 2018
Externally publishedYes

Bibliographical note

Funding Information:
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.

Publisher Copyright:
© 2018


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

ASJC Scopus subject areas

  • Computer Science(all)
  • Engineering(all)


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