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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
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
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
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Mathematical Sciences publications

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