STATISTICAL APPROACH TO DYNAMIC PARTITIONING.

David Malcolm Nicol, Paul F. Reynolds

Research output: Contribution to journalArticlepeer-review

Abstract

An important motivation for distributed processing is decreased program finishing time through the exploitation of parallelism. One promising application for distributed processing with this goal is the functional simulation of logic networks. The complexity of such networks demands that we be able to automatically partition a logic network into separately executed simulation pieces. This paper presents a statistically based method for both the static and dynamic partitioning of logic networks.

Original languageEnglish (US)
Pages (from-to)53-56
Number of pages4
JournalSimulation Series
Volume15
Issue number2
StatePublished - 1985
Externally publishedYes

ASJC Scopus subject areas

  • Engineering(all)

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