• A Fast MHD Code for Gravitationally Stratified Media using Graphical Processing Units: SMAUG

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      https://www.ias.ac.in/article/fulltext/joaa/036/01/0197-0223

    • Keywords

       

      Numerical simulations—magnetohydrodynamics—computer unified device architecture—graphical processing units—NVIDIA—Sheffield advanced code—the Sheffield magnetohydrodynamics algorithm using GPUs—versatile advection code.

    • Abstract

       

      Parallelization techniques have been exploited most successfully by the gaming/graphics industry with the adoption of graphical processing units (GPUs), possessing hundreds of processor cores. The opportunity has been recognized by the computational sciences and engineering communities, who have recently harnessed successfully the numerical performance of GPUs. For example, parallel magnetohydrodynamic (MHD) algorithms are important for numerical modelling of highly inhomogeneous solar, astrophysical and geophysical plasmas. Here, we describe the implementation of SMAUG, the Sheffield Magnetohydrodynamics Algorithm Using GPUs. SMAUG is a 1–3D MHD code capable of modelling magnetized and gravitationally stratified plasma.

      The objective of this paper is to present the numerical methods and techniques used for porting the code to this novel and highly parallel compute architecture. The methods employed are justified by the performance benchmarks and validation results demonstrating that the code successfully simulates the physics for a range of test scenarios including a full 3D realistic model of wave propagation in the solar atmosphere.

    • Author Affiliations

       

      M. K. Griffiths1 2 V. Fedun3 2 R.Erdélyi2

      1. Corporate Information and Computing Services, The University of Sheffield, 10–12 Brunswick Street, Sheffield S10 2FN, UK.
      2. Solar Physics and Space Plasma Research Centre (SP$_2$RC), School of Mathematics and Statistics, University of Sheffield, Hicks Building, Hounsfield Road, S7 3RH, UK.
      3. Department of Automatic Control and Systems Engineering, The University of Sheffield, Mappin Street, Sheffield S1 3JD, UK.
    • Dates

       
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