The Implement And Performance Analysis Of Parallel Computing Platform

Traditional parallel computing tasks are often a large parallelcomputer to complete, thus parallel research on parallel computerhas become the main direction of research. With the rapiddevelopment of the network, network-based cluster of parallelcomputing has become an important research direction.Cluster network is not directly used for parallel computing.Cluster research in the network to achieve a series of networkcommunication tools and programming tools to support cluster-based parallel computing. In this paper, a parallel computingplatform is built. Previous study of parallel computing platformfocused on communications support, and supporting the preparationof parallel programming. This paper focuses on parallel computingplatform for parallel computing resources management and theparallel program management.Cluster easy to build networks, but also frequent changes. Thisfeature requires that the parallel program on cluster network havebetter performance on transplantation.How to manage the network node will be an important issue ofparallel computing platform. This paper presents a parallelcomputing platform on cluster network for parallel computingservices and the management of network node.This paper first introduced parallel computation and analysisParallel procedures for parallel programming model andcommunications between the tasks; then focus on the existingparallel computing platform, a parallel computing platform isproposed and designed; next, the parallel computing platform is built; finally process the running data of the parallel programrun on this platform for quantitative analysis.