首页> 外文会议>International Conference on Grid and Cooperative Computing(GCC 2005); 20051130-1203; Beijing(CN) >The Research on MPC-WS, a Web Service for the Simulation of Metal Powder Compaction Process
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The Research on MPC-WS, a Web Service for the Simulation of Metal Powder Compaction Process

机译:MPC-WS,用于模拟金属粉末压实过程的Web服务的研究

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Compaction is a nonlinear procedure commonly used to form powder material. Simulating the compaction process is often time-consuming. In this paper, a parallel computation system for the simulation of metal powder compaction process was established on a Linux cluster that consists of 32 IBM eServer xSeries machines connected over 1 Gb Ethernet. Test problem of the compaction of a gear was simulated. Density distribution as well as other useful results was obtained. Performance of the system was evaluated with different parallel schema used. It shows that four processors produce maximum time saving. Efficiency tends to decline if parallel scale exceeds the limit. Incoming network traffic of the master node was measured for two different cases where eight and ten processors are employed respectively. It shows that when the number of processors increases, more network traffic is created, which decreases the platform's efficiency. An MPC-WS that can choose approximate number of processors for user jobs and serve user requests concurrently was offered.
机译:压实是通常用于形成粉末材料的非线性过程。模拟压实过程通常很耗时。在本文中,在Linux集群上建立了用于模拟金属粉末压实过程的并行计算系统,该集群由通过1 Gb以太网连接的32台IBM eServer xSeries计算机组成。模拟了齿轮压实的测试问题。获得了密度分布以及其他有用的结果。使用不同的并行架构评估了系统的性能。它表明四个处理器可以最大程度地节省时间。如果并行规模超出限制,效率将趋于下降。在分别使用八个和十个处理器的两种不同情况下,测量了主节点的传入网络流量。它表明,当处理器数量增加时,会创建更多的网络流量,从而降低了平台的效率。提供了一种MPC-WS,它可以为用户作业选择大约数量的处理器并同时满足用户请求。

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