Resource-Aware Scientific Computation on a Heterogeneous Cluster

  • Authors:
  • James D. Teresco;Jamal Faik;Joseph E. Flaherty

  • Affiliations:
  • Williams College;Rensselaer Polytechnic Institute;Rensselaer Polytechnic Institute

  • Venue:
  • Computing in Science and Engineering
  • Year:
  • 2009

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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.