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LOW-COST HIGH PERFORMANCE CLUSTER OF WORK-STATIONS BASED ON DYNAMIC LOAD BALANCING FOR PARALLEL DEPTH-FIRST SEARCH(DFS)
作者姓名:加力  陆鑫达
作者单位:Dept. of Computer Science and Eng.,Shanghai Jiaotong Univ.,Shanghai 200030,China
基金项目:National Science Foundation of China(No.60 173 0 3 1)
摘    要:IntroductionTraditionally,supercomputers have been builtwith high performance processors,which use tech-niques to execute as many computations concur-rently as possible.This machine employs a numberof arithmetic units,and sufficient hardware to al-low them to be fed with data and instructions attheir peak rate. Supercomputers built as parallelprocessors have also contained special shared mem-ory or message passing hardware as an integralpart of the machines design. This special hard-ware,in co…


LOW-COST HIGH PERFORMANCE CLUSTER OF WORK- STATIONS BASED ON DYNAMIC LOAD BALANCING FOR PARALLEL DEPTH-FIRST SEARCH(DFS)
Mohammed A.M. Ibrahim,LU Xin da.LOW-COST HIGH PERFORMANCE CLUSTER OF WORK-STATIONS BASED ON DYNAMIC LOAD BALANCING FOR PARALLEL DEPTH-FIRST SEARCH(DFS)[J].Journal of Shanghai Jiaotong university,2002,7(2):223-226.
Authors:Mohammed AM Ibrahim  LU Xin da
Institution:Dept. of Computer Science and Eng., Shanghai Jiaotong Univ., Shanghai 200030, China
Abstract:This paper presented an idea to replace the traditionally expensive parallel machines by heterogeneous cluster of workstations. To emphasise the usability of cluster of workstations platform for parallel and distributed computing, also the paper presented the status report on the effort and experiences for the implementation of a dynamic load balancing for parallel tree computation depth first search(DFS) on the cluster of a workstations project. It compared the speedup performance obtained from our platform with that obtained from the traditional one. The speedup results show that cluster of workstations can be a serious alternative to the expensive parallel machines.
Keywords:heterogeneous clusters of workstation  parallel tree computation DFS  dynamic load balancing strategy  parallel performance
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