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2018 | OriginalPaper | Chapter

EXAHD: An Exa-Scalable Two-Level Sparse Grid Approach for Higher-Dimensional Problems in Plasma Physics and Beyond

Authors : Mario Heene, Alfredo Parra Hinojosa, Michael Obersteiner, Hans-Joachim Bungartz, Dirk Pflüger

Published in: High Performance Computing in Science and Engineering ' 17

Publisher: Springer International Publishing

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Abstract

Within the current reporting period (04/2016–04/2017) of our HLRS project we have developed a scalable implementation of the fault-tolerant combination technique. Fault-tolerance is one of the key topics in the ongoing research of algorithms for future exascale systems. Our algorithms enable fault-tolerance for both hard and soft faults, for the efficient and massively parallel computation of high-dimensional PDEs without the need of checkpointing or process replication. The research project EXAHD is part of DFG’s priority program “Software for Exascale Computing” (SPPEXA). The project’s target application is the large-scale simulation of plasma turbulence with the code GENE. The report combines parts of three publications.

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previous chapter Modeling the Interior Dynamics of Terrestrial Planets
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Metadata
Title
EXAHD: An Exa-Scalable Two-Level Sparse Grid Approach for Higher-Dimensional Problems in Plasma Physics and Beyond
Authors
Mario Heene
Alfredo Parra Hinojosa
Michael Obersteiner
Hans-Joachim Bungartz
Dirk Pflüger
Copyright Year
2018
Book
High Performance Computing in Science and Engineering ' 17

Print ISBN: 978-3-319-68393-5

Electronic ISBN: 978-3-319-68394-2

Copyright Year: 2018

DOI
https://doi.org/10.1007/978-3-319-68394-2_31

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