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Load-balancing for mesh-based applications on heterogeneous cluster computers

Load-balancing for mesh-based applications on heterogeneous cluster computers

Fingberg, J., Nakajima, K. and Walshaw, C. ORCID: 0000-0003-0253-7779 (2001) Load-balancing for mesh-based applications on heterogeneous cluster computers. In: Computational Fluid and Solid Mechanics. Elsevier Science Ltd., Philadelphia, PA, USA, pp. 1561-1564. ISBN 0060439446

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Abstract

This paper discusses load-balancing issues when using heterogeneous cluster computers. There is a growing trend towards the use of commodity microprocessor clusters. Although today's microprocessors have reached a theoretical peak performance in the range of one GFLOPS/s, heterogeneous clusters of commodity processors are amongst the most challenging parallel systems to programme efficiently. We will outline an approach for optimising the performance of parallel mesh-based applications for heterogeneous cluster computers and present case studies with the GeoFEM code. The focus is on application cost monitoring and load balancing using the DRAMA library.

Item Type: Conference Proceedings
Title of Proceedings: Computational Fluid and Solid Mechanics
Additional Information: [1] This paper was presented at the First MIT Conference on Computational Fluid and Solid Mechanics held from 12-14 June 2001 at the Massachusetts Institute of Technology, Massachusetts, USA.
Uncontrolled Keywords: load-balancing, finite element, heterogeneous PC cluster, DRAMA, jostle
Subjects: Q Science > QA Mathematics > QA76 Computer software
Pre-2014 Departments: School of Computing & Mathematical Sciences
School of Computing & Mathematical Sciences > Computer & Computational Science Research Group
School of Computing & Mathematical Sciences > Department of Computer Science
School of Computing & Mathematical Sciences > Department of Mathematical Sciences
Related URLs:
Last Modified: 14 Oct 2016 09:00
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: None
URI: http://gala.gre.ac.uk/id/eprint/516

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