Array privatization for shared and distributed memory machines (extended abstract)

  • Authors:
  • Peng Tu;David Padua

  • Affiliations:
  • -;-

  • Venue:
  • ACM SIGPLAN Notices - Workshop on languages, compilers and run-time environments for distributed memory multiprocessors
  • Year:
  • 1993

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Abstract

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.