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

Francisco Hernandez Perez, Nurzhan Mukhadiyev, Xiao Xu, Aliou Sow, Bok Jik Lee, Ramanan Sankaran, Hong G. Im

Research output: Contribution to journalArticlepeer-review

23 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 languageEnglish (US)
Pages (from-to)73-79
Number of pages7
JournalComputers & Fluids
Volume173
DOIs
StatePublished - Mar 29 2018

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