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

Mario Heene (), Alfredo Parra Hinojosa (), Michael Obersteiner (), Hans-Joachim Bungartz () and Dirk Pflüger ()
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Mario Heene: University of Stuttgart, Institute for Parallel and Distributed Systems
Alfredo Parra Hinojosa: Technical University of Munich, Chair of Scientific Computing
Michael Obersteiner: Technical University of Munich, Chair of Scientific Computing
Hans-Joachim Bungartz: Technical University of Munich, Chair of Scientific Computing
Dirk Pflüger: University of Stuttgart, Institute for Parallel and Distributed Systems

A chapter in High Performance Computing in Science and Engineering ' 17, 2018, pp 513-529 from Springer

Abstract: 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.

Date: 2018
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DOI: 10.1007/978-3-319-68394-2_31

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