Algorithms for stable sorting to minimize communications in networks of workstations and their implementations in BSP

C. Cérin, J. Gaudiot
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引用次数: 5

Abstract

We introduce a novel approach to produce BSP (Bulk Synchronous Programming model) programs and we show their efficiency by implementing the stable sorting problem on clusters of PC. Experimental results on PCs based on Ethernet and Myrinet cards are compared with implementations on an SGI 2000. The algorithms presented in the paper are either developed under the theoretical framework of the Regular Sampling technique which guarantees good load balancing properties or are inspired by the technique in order to decrease the sequential work of each processor comparing to the Regular Sampling technique but impose no (theoretical) bound on load balancing. The main sequential block of code used in the algorithms for local sorting are derivatives of Shellsort (which is stable) and a new code based on Quicksort (which is not stable) plus a property on real numbers that is used for stable sorting under the framework of BSR (Broadcast with Selective Reduction).
最小化工作站网络通信的稳定排序算法及其在BSP中的实现
本文介绍了一种新的批量同步编程模型(BSP)程序生成方法,并通过在PC机集群上实现稳定排序问题,证明了该方法的有效性。在基于以太网和Myrinet卡的pc机上的实验结果与在SGI 2000上的实现进行了比较。本文提出的算法要么是在保证良好负载均衡特性的规则采样技术的理论框架下开发的,要么是受规则采样技术的启发,与常规采样技术相比,为了减少每个处理器的顺序工作,但对负载均衡没有(理论)限制。局部排序算法中使用的主要顺序代码块是Shellsort(稳定)的衍生物和基于Quicksort(不稳定)的新代码,加上在BSR(广播选择性约简)框架下用于稳定排序的实数属性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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