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https://hdl.handle.net/2440/120151
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Type: | Conference paper |
Title: | Managing complexity in the parallel sparse grid combination technique |
Author: | Larson, J.W. Strazdins, P.E. Hegland, M. Harding, B. Roberts, S. Stals, L. Rendell, A.P. Ali, M.M. Southern, J. |
Citation: | Advances in Parallel Computing, 2014 / Bader, M., Bode, A., Bungartz, H.J., Gerndt, M., Joubert, G.R., Peters, F. (ed./s), vol.25, pp.593-602 |
Publisher: | IOS Press |
Publisher Place: | Amsterdam |
Issue Date: | 2014 |
Series/Report no.: | Advances in Parallel Computing; 25 |
ISBN: | 9781614993803 |
ISSN: | 0927-5452 1879-808X |
Conference Name: | International Conference on Parallel Computing (10 Sep 2013 - 13 Sep 2013 : Garching, Germany) |
Editor: | Bader, M. Bode, A. Bungartz, H.J. Gerndt, M. Joubert, G.R. Peters, F. |
Statement of Responsibility: | J. W. Larson, P. E. Strazdins, M. Hegland, B. Harding, S. Roberts , L. Stals , A. P. Rendell, Md. M. Ali , and J. Southern |
Abstract: | Parallel implementation of the sparse grid combination technique in high dimensions presents many complexity challenges. We enumerate these challenges, classifying them respectively as computational, algorithmic, and software complexity. We discuss strategies for overcoming the individual complexity barriers. We describe our architecture for a software framework that will allow its users to build complex multiple grid solver applications. |
Keywords: | High-dimensional Systems; Partial Differential Equations; Parallel Computing; Fault-tolerance; MapReduce |
Rights: | © 2014 The authors and IOS Press. All rights reserved. |
DOI: | 10.3233/978-1-61499-381-0-593 |
Grant ID: | http://purl.org/au-research/grants/arc/LP110200410 |
Appears in Collections: | Aurora harvest 4 Mathematical Sciences publications |
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