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Resource-Aware Scientific Computation on a Heterogeneous Cluster
March/April 2005 (vol. 7 no. 2)
pp. 40-50
James D. Teresco, Williams College
Jamal Faik, Rensselaer Polytechnic Institute
Joseph E. Flaherty, Rensselaer Polytechnic Institute
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 and Engineering, vol. 7, no. 2, pp. 40-50, March-April 2005, doi:10.1109/MCSE.2005.38
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