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Issue No.02 - March/April (2005 vol.7)
pp: 40-50
James D. Teresco , Williams College
Jamal Faik , Rensselaer Polytechnic Institute
Joseph E. Flaherty , Rensselaer Polytechnic Institute
ABSTRACT
Although researchers can develop software on small, local clusters and move it later to larger clusters and supercomputers, the software must run efficiently in both environments. Two efforts aim to improve the efficiency of scientific computation on clusters.
INDEX TERMS
cluster computing, grid computing, resource-aware computing, dynamic load balancing, heterogeneous clusters
CITATION
James D. Teresco, Jamal Faik, Joseph E. Flaherty, "Resource-Aware Scientific Computation on a Heterogeneous Cluster", Computing in Science & Engineering, vol.7, no. 2, pp. 40-50, March/April 2005, doi:10.1109/MCSE.2005.38
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