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A Novel Dynamic Load Balancing Library for Cluster Computing

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CONTRIBUTORS:
  Author Balasubramaniam, Mahadevan
  Author Barker, Kevin
  Author Banicescu, Ioana
  Author Chrisochoides, Nikos
  Author Pabico, Jaderick P. (University of the Philippines Los Banos)
  Author Cariño, Ricolindo L.
PROCEEDINGS TITLE:
  Proceedings of the 3rd International Symposium on Parallel and Distributed Computing (ISPDC 2004)/Third International Workshop on Algorithms, Models and Tools for Parallel Computing on Heterogeneous Networks (HeteroPar 2004)
YEAR: 2004
PUB TYPE: Conference Paper in Proceedings
PAGES: 346 - 353
SUBJECT(S): None
DISCIPLINE: Computer Science
HTTP: http://doi.ieeecomputersociety.org/10.1109/ISPDC.2004.5
LANGUAGE: English
PUB ID: 103-444-149 (Last edited on 2008/07/23 00:43:38 GMT-6)
SPONSOR(S):
 
ABSTRACT:
In the last few years, research advances in dynamic scheduling at application and runtime system levels have contributed to improving the performance of scientific applications in heterogeneous environments. This paper presents the design and implementation of a library as a result of an integrated approach to dynamic load balancing. This approach combines the advantages of optimizing data migration via novel dynamic loop scheduling strategies with the advances in object migration mechanisms of parallel runtime systems. The performance improvements obtained by the use of this library have been investigated by its use in two scientific applications: the N-body simulations, and the profiling of automatic quadrature routines. The experimental results obtained underscore the significance of using such an integrated approach, as well as the benefits of using the library especially in cluster applications characterized by irregular and unpredictable behavior.
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