Resolved particle simulations using the Physalis method on many GPUs

DOI10.1016/j.cpc.2019.107071OpenAlexW2991054221MaRDI QIDQ2698884

Daniel P. Willen, Adam J. Sierakowski

Publication date: 25 April 2023

Published in: Computer Physics Communications (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.cpc.2019.107071

zbMATH Keywords

computational fluid dynamicsparticulate flowsGPUsdistributed memoryPhysalis methodresolved particle simulations

Mathematics Subject Classification ID

Fluid mechanics (76-XX) Statistical mechanics, structure of matter (82-XX)

Related Items (1)

Microstructure-informed probability-driven point-particle model for hydrodynamic forces and torques in particle-laden flows

Uses Software

• AFiD_GPU

Cites Work

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• Efficient parallel CFD-DEM simulations using OpenMP
• Resolved-particle simulation by the Physalis method: enhancements and new capabilities
• GPU-centric resolved-particle disperse two-phase flow simulation using the Physalis method
• Matrix-free GPU implementation of a preconditioned conjugate gradient solver for anisotropic elliptic PDEs
• Reducing the effect of global communication in \(\text{GMRES} (m)\) and CG on parallel distributed memory computers
• Simulation Methods for Particulate Flows and Concentrated Suspensions
• Quadratures on a sphere
• Turbulent Flows
• Accurate projection methods for the incompressible Navier-Stokes equations

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