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cluster of workstations
    ILBOT:AN INTELLIGENT DYNAMIC LOAD BALANCER FOR A CLUSTER OF WORKSTATIONS
    ILBOT:用于工作站机群的智能动态负载平衡软件
    Implementation of Matrix Multiple Cannon Parallel Algorithm on Cluster of Workstations
    矩阵相乘Cannon并行算法在工作站机群上的实现
    With the development at full speed of micro-processing and network technology, common network, such as the Local Area Network (LAN), is utilized to construct Cluster of Workstations (COW) by joining the high-performance workstations or top-grade PCs according to a certain structure. Base on COW, integrating modern communication technology and traditional parallel technology, a new knid of parallel technology—network paprallel computing is forming.
    随着微处理技术和网络技术的飞速发展,可利用通用网络,如局域网(Local Area Network, LAN)将一组高性能工作站或高档PC 机,按某种结构连接起来而构建的工作站机群(Cluster of Workstations, COW)将现代网络通讯技术与传统并行计算技术结合起来,形成了一类新的并行计算技术——网络并行计算。
    Load balancing is one of the key elements that affect the performance of parallel computing in Cluster of Workstations.
    负载平衡问题是影响工作站机群系统并行计算性能的一个重要因素。
    Matrix multiple Cannon parallel algorithm is based on the distributed memory and multiprocessors model. This paper analyses its implementation on the cluster of workstations.
    矩阵相乘Cannon并行算法是一个基于分布式存储多处理机模型的并行数值算法,文章研究了它在工作站机群上的实现。
    This paper has a research on and develops a general pvm parallel programme performance visualization software toolkit VP^4. On the basis of the characteristic of Cluster Of Workstations, VP^4 adopts a mutistage and incident based performance data collection method, and thus is able to collect and gather all the performance data provided the "interference influnce" is reduced to the least extent.
    本文研究并实现了一个通用的 pvm并行程序性能可视化软件工具 VP^4.针对工作站机群的特点 ,它采用多层次性能数据采集方法和基于事件的采取策略 ,这样可以在尽量减少“侵入影响”的前提下 ,采集并汇总全部性能数据 .
    In Linux environment, how to construct Cluster of Workstations based on MPICH is introduced in this paper. It provides the details of the basic configuration.
    本文详细地介绍了在Linux环境下如何构架基于MPICH的工作站机群,给出了具体的步骤和基本配置过程。
 

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