Comparing the performance of the DASH and Cedar multiprocessors for scientific applications

J. Torrellas, D. Koufaty, D. Padua

Research output: Contribution to journalConference articlepeer-review


Scalable shared-memory multiprocessors are attractive because they achieve large-scale parallel processing without surrendering much programmability. Several such machines have been built or are currently being built, for instance RP3, Cedar, KSR1, DASH, DDM1, Alewife, Cray T3D, or the Tera computer system. While all these machines support the shared-memory paradigm, they differ significantly. For example, some of them use hardware to support cache coherence, while others rely on the compiler or the programmer to do so. Furthermore, a subset of the machines are hierarchical, and some have the processors grouped in clusters. In addition to these and other hardware issues, machines also differ in software issues. For instance, the most natural model of parallelism supported by compilers and the operating system can be task- or loop-based.

Original languageEnglish (US)
Article number5727804
Pages (from-to)II304-II308
JournalProceedings of the International Conference on Parallel Processing
StatePublished - 1994
Event23rd International Conference on Parallel Processing, ICPP 1994 - Raleigh, NC, United States
Duration: Aug 15 1994Aug 19 1994

ASJC Scopus subject areas

  • Software
  • General Mathematics
  • Hardware and Architecture


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