Performance evaluation of a distributed algorithm for an inverse heat conduction problem
Lai, C.-H. ORCID: https://orcid.org/0000-0002-7558-6398, Ierotheou, C.S., Palansuriya, C.J. and Pericleous, K.A. ORCID: https://orcid.org/0000-0002-7426-9999 (2001) Performance evaluation of a distributed algorithm for an inverse heat conduction problem. The Computer Journal, 44 (3). pp. 214-220. ISSN 0010-4620 (Print), 1460-2067 (Online) (doi:10.1093/comjnl/44.3.214)
Full text not available from this repository.Abstract
Numerical solutions of realistic 2-D and 3-D inverse problems may require a very large amount of computation. A two-level concept on parallelism is often used to solve such problems. The primary level uses the problem partitioning concept which is a decomposition based on the mathematical/physical problem. The secondary level utilizes the widely used data partitioning concept. A theoretical performance model is built based on the two-level parallelism. The observed performance results obtained from a network of general purpose Sun Sparc stations are compared with the theoretical values. Restrictions of the theoretical model are also discussed.
Item Type: | Article |
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Additional Information: | [1] CMS Ref. No: 01/63. [2] The Computer Journal is published by Oxford University Press on behalf of BCS, The Chartered Institute for IT. |
Uncontrolled Keywords: | 2-D and 3-D inverse problems, computation, numerical solutions |
Subjects: | B Philosophy. Psychology. Religion > BC Logic Q Science > QA Mathematics > QA76 Computer software Q Science > QC Physics |
Pre-2014 Departments: | School of Computing & Mathematical Sciences School of Computing & Mathematical Sciences > Centre for Numerical Modelling & Process Analysis School of Computing & Mathematical Sciences > Centre for Numerical Modelling & Process Analysis > Computational Science & Engineering Group School of Computing & Mathematical Sciences > Computer & Computational Science Research Group School of Computing & Mathematical Sciences > Department of Computer Systems Technology School of Computing & Mathematical Sciences > Department of Mathematical Sciences |
Related URLs: | |
Last Modified: | 02 Mar 2019 15:50 |
URI: | http://gala.gre.ac.uk/id/eprint/601 |
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