Titarenko, S orcid.org/0000-0002-4453-0180, Kulikov, I, Chernykh, I et al. (4 more authors) (2017) Multilevel Parallelization: Grid Methods for Solving Direct and Inverse Problems. In: Communications in Computer and Information Science: Supercomputing. RuSCDays 2016 (Russian Supercomputing Days), 26-27 Sep 2016, Moscow, Russia. Springer Verlag , pp. 118-131. ISBN 978-3-319-55668-0
Abstract
In this paper we present grid methods which we have developed for solving direct and inverse problems, and their realization with different levels of optimization. We have focused on solving systems of hyperbolic equations using finite difference and finite volume numerical methods on multicore architectures. Several levels of parallelism have been applied: geometric decomposition of the calculative domain, workload distribution over threads within OpenMP directives, and vectorization. The run-time efficiency of these methods has been investigated. These developments have been tested using the astrophysics code AstroPhi on a hybrid cluster Polytechnic RSC PetaStream (consisting of Intel Xeon Phi accelerators) and a geophysics (seismic wave) code on an Intel Core i7-3930K multicore processor. We present the results of the calculations and study MPI run-time energy efficiency.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © Springer International Publishing AG 2016. This is an author produced version of a paper published in Communications in Computer and Information Science. Uploaded in accordance with the publisher's self-archiving policy. The final publication is available at Springer via https://doi.org/%2010.1007/978-3-319-55669-7_10. |
Keywords: | High performance computing; Intel Xeon Phi accelerators; Grid-based numerical methods |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Environment (Leeds) > School of Earth and Environment (Leeds) > Inst of Geophysics and Tectonics (IGT) (Leeds) The University of Leeds > Faculty of Environment (Leeds) > School of Earth and Environment (Leeds) > Institute for Applied Geosciences (IAG) (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 24 Mar 2017 13:57 |
Last Modified: | 20 Jan 2018 19:09 |
Published Version: | https://doi.org/10.1007/978-3-319-55669-7_10 |
Status: | Published |
Publisher: | Springer Verlag |
Identification Number: | 10.1007/978-3-319-55669-7_10 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:114069 |