David A. Bader
IEEE Fellow
AAAS Fellow
College of Computing
Georgia Tech
Atlanta, GA 30332



Cluster Computing: Applications

Cluster computing for applications scientists is changing dramatically with the advent of commodity high performance processors, low-latency/high-bandwidth networks, and software infrastructure and development tools to facilitate the use of the cluster. The performance of an individual processor used in a high-end personal workstation rivals that of a processor in a high-end supercomputer, such as an SGI Origin, and the performance of the commodity processors is improving rapidly.

Publication History

Versions of this paper appeared as:
  1. D.A. Bader and R. Pennington, ``Cluster Computing: Applications,'' The International Journal of High Performance Computing, 15(2):181-185, May 2001.

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Last updated: July 25, 2004


Computational Biology

Parallel Computing