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文章基本信息

  • 标题:PDDP, A Data Parallel Programming Model
  • 本地全文:下载
  • 作者:Karen H. Warren
  • 期刊名称:Scientific Programming
  • 印刷版ISSN:1058-9244
  • 出版年度:1996
  • 卷号:5
  • 期号:4
  • 页码:319-327
  • DOI:10.1155/1996/857815
  • 出版社:Hindawi Publishing Corporation
  • 摘要:

    PDDP, the parallel data distribution preprocessor, is a data parallel programming model for distributed memory parallel computers. PDDP implements high-performance Fortran-compatible data distribution directives and parallelism expressed by the use of Fortran 90 array syntax, the FORALL statement, and the WHERE construct. Distributed data objects belong to a global name space; other data objects are treated as local and replicated on each processor. PDDP allows the user to program in a shared memory style and generates codes that are portable to a variety of parallel machines. For interprocessor communication, PDDP uses the fastest communication primitives on each platform.

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