ZEFR: a GPU-accelerated high-order solver for compressible viscous flows using the flux reconstruction method

DOI10.1016/j.cpc.2020.107169OpenAlexW3003687283MaRDI QIDQ2698900

Yanyan Li

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.2020.107169

zbMATH Keywords

high-order methodscomputational fluid dynamicshigh-performance computingflux reconstruction

Mathematics Subject Classification ID

Fluid mechanics (76-XX) Computer science (68-XX)

Related Items (10)

High-order numerical solutions to the shallow-water equations on the rotated cubed-sphere grid ⋮ Inline vector compression for computational physics ⋮ A modified a posteriori subcell limiter for high order flux reconstruction scheme for one-dimensional detonation simulation ⋮ Highly-scalable GPU-accelerated compressible reacting flow solver for modeling high-speed flows ⋮ A high-order entropically-damped artificial compressibility approach on moving and deforming domains ⋮ On the application of gradient based reconstruction for flow simulations on generalized curvilinear and dynamic mesh domains ⋮ Eilmer: an open-source multi-physics hypersonic flow solver ⋮ On the implementation of flux limiters in algebraic frameworks ⋮ STREAmS: A high-fidelity accelerated solver for direct numerical simulation of compressible turbulent flows ⋮ URANOS: a GPU accelerated Navier-Stokes solver for compressible wall-bounded flows

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