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Massively Parallel Stencil Strategies for Radiation Transport Moment Model Simulations

The radiation transport equation is a mesoscopic equation in high dimensional phase space. Moment methods approximate it via a system of partial differential equations in traditional space-time. One challenge is the high computational intensity due to large vector sizes (1 600 components for P39) in...

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Detalles Bibliográficos
Autores principales: Berghoff, Marco, Frank, Martin, Seibold, Benjamin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7304734/
http://dx.doi.org/10.1007/978-3-030-50436-6_18
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author Berghoff, Marco
Frank, Martin
Seibold, Benjamin
author_facet Berghoff, Marco
Frank, Martin
Seibold, Benjamin
author_sort Berghoff, Marco
collection PubMed
description The radiation transport equation is a mesoscopic equation in high dimensional phase space. Moment methods approximate it via a system of partial differential equations in traditional space-time. One challenge is the high computational intensity due to large vector sizes (1 600 components for P39) in each spatial grid point. In this work, we extend the calculable domain size in 3D simulations considerably, by implementing the StaRMAP methodology within the massively parallel HPC framework NAStJA, which is designed to use current supercomputers efficiently. We apply several optimization techniques, including a new memory layout and explicit SIMD vectorization. We showcase a simulation with 200 billion degrees of freedom, and argue how the implementations can be extended and used in many scientific domains.
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spelling pubmed-73047342020-06-22 Massively Parallel Stencil Strategies for Radiation Transport Moment Model Simulations Berghoff, Marco Frank, Martin Seibold, Benjamin Computational Science – ICCS 2020 Article The radiation transport equation is a mesoscopic equation in high dimensional phase space. Moment methods approximate it via a system of partial differential equations in traditional space-time. One challenge is the high computational intensity due to large vector sizes (1 600 components for P39) in each spatial grid point. In this work, we extend the calculable domain size in 3D simulations considerably, by implementing the StaRMAP methodology within the massively parallel HPC framework NAStJA, which is designed to use current supercomputers efficiently. We apply several optimization techniques, including a new memory layout and explicit SIMD vectorization. We showcase a simulation with 200 billion degrees of freedom, and argue how the implementations can be extended and used in many scientific domains. 2020-05-25 /pmc/articles/PMC7304734/ http://dx.doi.org/10.1007/978-3-030-50436-6_18 Text en © Springer Nature Switzerland AG 2020 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.
spellingShingle Article
Berghoff, Marco
Frank, Martin
Seibold, Benjamin
Massively Parallel Stencil Strategies for Radiation Transport Moment Model Simulations
title Massively Parallel Stencil Strategies for Radiation Transport Moment Model Simulations
title_full Massively Parallel Stencil Strategies for Radiation Transport Moment Model Simulations
title_fullStr Massively Parallel Stencil Strategies for Radiation Transport Moment Model Simulations
title_full_unstemmed Massively Parallel Stencil Strategies for Radiation Transport Moment Model Simulations
title_short Massively Parallel Stencil Strategies for Radiation Transport Moment Model Simulations
title_sort massively parallel stencil strategies for radiation transport moment model simulations
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7304734/
http://dx.doi.org/10.1007/978-3-030-50436-6_18
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