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文章基本信息

  • 标题:Data Partitioning for Multiprocessors with Memory Heterogeneity and Memory Constraints
  • 本地全文:下载
  • 作者:Alexey Lastovetsky ; Ravi Reddy
  • 期刊名称:Scientific Programming
  • 印刷版ISSN:1058-9244
  • 出版年度:2005
  • 卷号:13
  • 期号:2
  • 页码:93-112
  • DOI:10.1155/2005/964902
  • 出版社:Hindawi Publishing Corporation
  • 摘要:

    The paper presents a performance model that can be used to optimally distribute computations over heterogeneous computers. This model is application-centric representing the speed of each computer by a function of the problem size. This way it takes into account the processor heterogeneity, the heterogeneity of memory structure, and the memory limitations at each level of memory hierarchy. A problem of optimal partitioning of an n -element set over p heterogeneous processors using this performance model is formulated, and its efficient solution of the complexity O( p 3 × log 2 n ) is given.

  • 关键词:Heterogeneous (hybrid) systems; scheduling and task partitioning; load balancing and task assignment
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