计算机科学 ›› 2014, Vol. 41 ›› Issue (6): 22-26.doi: 10.11896/j.issn.1002-137X.2014.06.005

• 综述 • 上一篇    下一篇

基于闭合最小图划分模型的多作业分配优化方法

张拥军,林宇斐   

  1. 国防科学技术大学计算机学院 长沙410073;国防科学技术大学计算机学院 长沙410073
  • 出版日期:2018-11-14 发布日期:2018-11-14
  • 基金资助:
    本文受国家自然科学基金(60921062)资助

Multi-job Assignment Optimization Approach Based on Closed Minimum Graph-partitioning Model

ZHANG Yong-jun and LIN Yu-fei   

  • Online:2018-11-14 Published:2018-11-14

摘要: 随着并行计算系统规模的增大和复杂度的提高,已有的多作业分配方式可能导致较长的通信延迟 和严重的通信竞争。针对这一问题,提出了一种基于闭合最小图划分模型的多作业分配优化方法。该方法以最小化通信延迟和消除通信竞争为出发点,通过建立闭合最小图划分模型,将多作业分配优化问题转化成闭合最小图划分问题,并设计闭合最小图划分算法来获得优化的多作业分配方案。

关键词: 多作业分配,图划分,通信竞争,网络直径 中图法分类号TP302文献标识码A

Abstract: Due to the augment of the parallel computing system size and the increase of its complexity,the existing multi-job assignment approaches can cause severe communication latency and contention.In order to solve this problem,a new multi-job assignment approach based on a closed minimum graph-partitioning model was proposed.To minimize the communication latency and eliminate the communication contention,this approach translates the multi-job assignment optimization problem to the closed minimum graph-partitioning problem by building a closed minimum graph-partitioning model,and designs the closed minimum graph-partitioning algorithm to obtain an optimized multi-job assignment scheme.

Key words: Multi-job assignment,Graph-partitioning,Communication contention,Network diameter

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