Cluster-C*: Understanding the performance limits

Charles J. Turner, David Mosberger, Larry L. Peterson

Research output: Contribution to conferencePaperpeer-review

3 Scopus citations


Data parallel languages are gaining interest as it becomes clear that they support a wider range of computation than previously believed. With improved network technology, it is now feasible to build data parallel supercomputers using traditional RISC-based workstations connected by a high-speed network. This paper presents an in-depth look at the communication behavior of nine C* programs. It also compares the performance of these programs on both a cluster of 8 HP 720 workstations and a 32 node (128 Vector Unit) CM-5. The result is that under some conditions, the cluster is faster on an absolute scale, and that on a relative, per-node scale, the cluster delivers superior performance in all cases.

Original languageEnglish (US)
Number of pages10
StatePublished - 1994
EventProceedings of the Scalable High-Performance Computing Conference - Knoxville, TN, USA
Duration: May 23 1994May 25 1994


OtherProceedings of the Scalable High-Performance Computing Conference
CityKnoxville, TN, USA

ASJC Scopus subject areas

  • Hardware and Architecture


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