Managing complexity in the parallel sparse grid combination technique

J. W. Larson; P. E. Strazdins; M. Hegland; B. Harding; S. Roberts; L. Stals; A. P. Rendell; Md M. Ali; J. Southern

doi:10.3233/978-1-61499-381-0-593

Managing complexity in the parallel sparse grid combination technique

J. W. Larson, P. E. Strazdins, M. Hegland, B. Harding, S. Roberts, L. Stals, A. P. Rendell, Md M. Ali, J. Southern

Research output: Contribution to journal › Article › peer-review

4 Citations (Scopus)

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.

Original language	English
Pages (from-to)	593-602
Number of pages	10
Journal	Advances in Parallel Computing
Volume	25
DOIs	https://doi.org/10.3233/978-1-61499-381-0-593
Publication status	Published - 2014
Externally published	Yes

Keywords

Fault-tolerance
High-dimensional Systems
MapReduce
Parallel Computing
Partial Differential Equations

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AU - Larson, J. W.

AU - Strazdins, P. E.

AU - Hegland, M.

AU - Harding, B.

AU - Roberts, S.

AU - Stals, L.

AU - Rendell, A. P.

AU - Ali, Md M.

AU - Southern, J.

PY - 2014

Y1 - 2014

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KW - Fault-tolerance

KW - High-dimensional Systems

KW - MapReduce

KW - Parallel Computing

KW - Partial Differential Equations

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UR - http://purl.org/au-research/grants/arc/LP110200410

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JO - Advances in Parallel Computing

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ER -

Managing complexity in the parallel sparse grid combination technique

Abstract

Keywords

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