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

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

2021The International Journal of High Performance Computing Applications35 citationsDOIOpen Access PDF

Abstract

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.

Topics & Concepts

Computational fluid dynamicsLeverage (statistics)Exascale computingComputer scienceSupercomputerSoftwareCode (set theory)Computational sciencePath (computing)Parallel computingSoftware engineeringDistributed computingAerospace engineeringEngineeringOperating systemProgramming languageArtificial intelligenceSet (abstract data type)Granular flow and fluidized bedsMineral Processing and GrindingCO2 Sequestration and Geologic Interactions
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