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The design and implementation of a parallel array operator for the arbitrary remapping of data

Published: 11 June 2003 Publication History

Abstract

Gather and scatter are data redistribution functions of long-standing importance to high performance computing. In this paper, we present a highly-general array operator with powerful gather and scatter capabilities unmatched by other array languages. We discuss an efficient parallel implementation, introducing three new optimizations---schedule compression, dead array reuse, and direct communication---that reduce the costs associated with the operator's wide applicability. In our implementation of this operator in ZPL, we demonstrate performance comparable to the hand-coded Fortran + MPI versions of the NAS FT and CG benchmarks.

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cover image ACM Conferences
PPoPP '03: Proceedings of the ninth ACM SIGPLAN symposium on Principles and practice of parallel programming
June 2003
250 pages
ISBN:1581135882
DOI:10.1145/781498
  • cover image ACM SIGPLAN Notices
    ACM SIGPLAN Notices  Volume 38, Issue 10
    Proceedings of the ACM SIGPLAN symposium on principles and practice of parallel programming (PPoPP 2003) and workshop on partial evaluation and semantics-based program manipulation (PEPM 2003)
    October 2003
    331 pages
    ISSN:0362-1340
    EISSN:1558-1160
    DOI:10.1145/966049
    Issue’s Table of Contents
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Published: 11 June 2003

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Author Tags

  1. ZPL
  2. array languages
  3. gather
  4. parallel programming
  5. scatter

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