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Speed-up of Parallel Processing of Divisible Loads on k-dimensional Meshes and Tori

机译:在k维网格和Tori上并行处理可分载荷的并行处理

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摘要

A divisible load distribution algorithm on k-dimensional meshes and tori is proposed and analyzed. It is found that by using our algorithm, the speed-up of parallel processing of a divisible load on k-dimensional meshes and tori is bounded from above by a quantity independent of network size, due to communication overhead and limited network connectivity. In particular, it is shown that for k-dimensional meshes and tori, as the network size becomes large, the asymptotic speed-up of processing divisible loads with corner initial processors is approximately β~(1-1/2~k), where β is the ratio of the time for computing a unit load to the time for communicating a unit load. It is also proved that by choosing interior initial processors, an asymptotic speed-up of 2~kβ~(1-1/2k) can be achieved.
机译:提出并分析了k维网格和圆托的可分负荷分布算法。发现通过使用我们的算法,由于通信开销和有限的网络连接性,k维网格和tori上的可分负载的并行处理的加速从上方受到与网络大小无关的数量的限制。特别是,对于k维网格和圆环来说,随着网络规模的增大,利用角初始处理器处理可分负荷的渐近速度约为β〜(1-1 / 2〜k),其中β是计算单位负载的时间与传达单位负载的时间之比。还证明了通过选择内部初始处理器,可以实现2〜kβ〜(1-1 / 2k)的渐近加速。

著录项

  • 来源
    《The Computer journal 》 |2003年第6期| p.625-631| 共7页
  • 作者

    KEQIN LI;

  • 作者单位

    Department of Computer Science, State University of New York, New Paltz, NY 12561, USA;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 计算技术、计算机技术 ;
  • 关键词

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