Array Privatization for Shared and Distributed Memory Machines (Extended Abstract)

Peng Tu, David Padua

Research output: Contribution to journalArticlepeer-review


Memory related anti- and output-dependences can limit the potential parallelism in ordinary programs. In a distributed memory system, improper partition and distribution of data involved in memory related dependences may incur unnecessary communications and load imbalance. In this extended abstract, we present an overview of our work on using array privatization to enhance inherent parallelism and reduce communications.

Original languageEnglish (US)
Pages (from-to)64-67
Number of pages4
JournalACM SIGPLAN Notices
Issue number1
StatePublished - Jan 1 1993

ASJC Scopus subject areas

  • Software
  • Computer Graphics and Computer-Aided Design

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