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基于并行的焊点优化算法

A Parallel Algorithm for Spotwelding Optimized

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【作者】 宋阳阳刘建丽张雪岳彩锐常静雅

【Author】 SONG Yang-yang1, LIU Jian-li1, ZHANG Xue1,YUE Cai-rui2, CHANG Jing-ya2(1 College of Computer, Beijing University of Technology, Beijing 100124; 2 College of Mechanical Engineering and Applied Electronics Technology, Beijing University of Technology, Beijing 100124)

【机构】 北京工业大学计算机学院北京工业大学机电学院

【摘要】 提出一种焊点优化算法,同时为了创建更快的方法来完成优化过程的模拟,基于MPI库采用静态分配任务和任务池两种并行方案,对焊点优化算法进行并行化实现.在机群系统下测试表明,并行方法可以显著减少程序运行时间,提高优化模拟过程的效率.

【Abstract】 An algorithm for spotwelding optimized is proposed to slave the problem, and paralleling methods based on the MPI are proposed in order to reduce the cycle of development. There are two methods to optimize Automotive spot-weld, one is static task assignment programme, and the other is dynamic task assignment programme. Through testing the two programmes under the cluster system we find that the parallelizing optimization algorithm for Automotive Spot-weld will significantly reduce the running time and increase the efficiency of the process simulation optimization.

【关键词】 电阻点焊MPI并行机群系统
【Key words】 spot weldMPIparallelcluster
  • 【文献出处】 微电子学与计算机 ,Microelectronics & Computer , 编辑部邮箱 ,2008年10期
  • 【分类号】TP399-CA
  • 【被引频次】1
  • 【下载频次】66
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