MFIX-Exa: A path toward exascale CFD-DEM simulations

Musser, Jordan; Almgren, Ann S.; Fullmer, William D.; Antepara, Oscar; Bell, John B.; Blaschke, Johannes; Gott, Kevin; Myers, Andrew; Porcu, Roberto; Rangarajan, Deepak; Rosso, Michele; Zhang, Weiqun; Syamlal, Madhava

doi:10.1177/10943420211009293

MFIX-Exa: A path toward exascale CFD-DEM simulations

Journal Article · 16 April 2021 · International Journal of High Performance Computing Applications

DOI:https://doi.org/10.1177/10943420211009293· OSTI ID:1841162

^[1]; Almgren, Ann S. ^[2]; Fullmer, William D. ^[3]; ^[2]; ^[2]; Blaschke, Johannes ^[2]; Gott, Kevin ^[2]; Myers, Andrew ^[2]; ^[4]; Rangarajan, Deepak ^[3]; Rosso, Michele ^[2]; Zhang, Weiqun ^[2]; ^[1]

National Energy Technology Lab. (NETL), Morgantown, WV (United States)
Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
National Energy Technology Lab. (NETL), Morgantown, WV (United States); Leidos Research Support Team, Morgantown, WV (United States)
National Energy Technology Lab. (NETL), Morgantown, WV (United States); Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); Leidos Research Support Team, Morgantown, WV (United States)

MFIX-Exa is a computational fluid dynamics–discrete element model (CFD-DEM) code designed to run efficiently on current and next-generation supercomputing architectures. MFIX-Exa combines the CFD-DEM expertise embodied in the MFIX code—which was developed at NETL and is used widely in academia and industry—with the modern software framework, AMReX, developed at LBNL. The fundamental physics models follow those of the original MFIX, but the combination of new algorithmic approaches and a new software infrastructure will enable MFIX-Exa to leverage future exascale machines to optimize the modeling and design of multiphase chemical reactors.

View Accepted Manuscript (DOE)

Research Organization:: Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States)

Sponsoring Organization:: USDOE Office of Science (SC), Advanced Scientific Computing Research (ASCR); RSS

Grant/Contract Number:: AC02-05CH11231; AC05-00OR22725

OSTI ID:: 1841162

Journal Information:: International Journal of High Performance Computing Applications, Journal Name: International Journal of High Performance Computing Applications Journal Issue: 1 Vol. 36; ISSN 1094-3420

Publisher:: SAGECopyright Statement

Country of Publication:: United States

Language:: English

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97 MATHEMATICS AND COMPUTING
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ECP
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MFIX
embedded boundaries
exascale
method-of-lines
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MFIX-Exa: A path toward exascale CFD-DEM simulations

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