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Managing complexity in the parallel sparse grid combination technique

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Date

2014

Authors

Journal Title

Journal ISSN

Volume Title

Publisher

IOS Press BV

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Research Projects

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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.

Description

Keywords

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

Citation

URI

https://dspace-test.anu.edu.au/handle/1885/733761636

Collections

DevOps Integration

Source

Type

Conference paper

Book Title

Parallel Computing: Accelerating Computational Science and Engineering (CSE)

Entity type

Publication

Access Statement

License Rights

DOI

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

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