Where once the monolithic multimillion-dollar machine ruled, the parallel cluster is fast becoming the supercomputer of choice.
一旦价值数百万美元的单体机占了主导，并行集群很快就会成为超级计算机的选择。
Parallel Job Manager tier, also part of Compute Grid, decomposes large jobs into smaller partitions and provides operational control over partitioned jobs executing across the cluster.
并行作业管理器层同样也是计算网格的组成部分，可以将较大的作业分解为较小的分区、并为跨集群执行的分区作业提供操作控制。
Input data is partitioned in such a way that it can be distributed among a cluster of machines for processing in parallel.
输入数据使用这样一种方法进行分区，即在并行处理的计算机集群中分区的方法。
You can think of it as distributed and large-scale cluster computing and as a form of network-distributed parallel processing.
您可以将其视为分布式大规模集群计算和某种形式的网络分布式并行处理。
As a whole, the cluster provides the capability to build, submit, execute, and manage serial and parallel batch jobs.
总体上，集群具备构建、提交、执行和管理串行与并行批作业的能力。
Now that you know the fundamentals of parallel programming platforms and have a cluster ready, let's write a program that makes good use of the cluster.
现在我们已经了解了并行编程平台的基础知识，并且准备好了一个集群，接下来就要编写一个可以很好地利用这个集群的程序。
Part 2 covers parallel algorithms, how to write parallel programs, how to set up clusters, and cluster benchmarking.
第2部分将介绍并行算法的知识，并介绍如何编写并行程序、如何构建集群以及如何进行基准测试。
If you run multiple Cluster Replicators, you can split up the replication workload and process it in parallel.
如果您运行多个Cluster Replicators，就可以划分复制工作负载，以并行的方式处理它们。
When a compute node in a cluster wants to access a file in this parallel filesystem, it goes through the following steps.
当集群中的计算节点想要访问并行文件系统中的一个文件时，它需要执行以下步骤。
You should now have a small high performance cluster set up that can exercise the parallel built Linpack benchmark.
现在就建立起了一个小型的高性能集群，可以试运行并行构建的Linpack基准。
We look at parallel programming using MPI and the basics of setting up a Linux cluster.
我们将介绍如何使用MPI进行并行编程，以及构建Linux集群的基础知识。
This two-part article introduces the concepts of High Performance Computing (HPC) with Linux cluster technology and shows you how to set up clusters and write parallel programs.
这两篇系列文章简要介绍采用Linux集群技术的高性能计算(HPC)的概念，展示如何构建集群并编写并行程序。
PDSH: This compute cluster management tool can run a command on multiple machines in parallel.
pdsh：这个计算机集群管理工具可以并行地在多台计算机上运行命令。
Microwulf is considered a Beowulf cluster, a group of networked computers that run open source software and work in parallel to solve a single problem.
Microwulf是一种Beowulf集群，它是一组通过网络连接的电脑，运行开源软件，并以并行方式处理单一程序。
Now that the cluster is ready, you can run parallel programs, add or remove new nodes based on need, and monitor the status with Ganglia.
现在我们已经准备好集群环境了，接下来可以运行并行程序了，并且可以根据需要添加或删除新节点，并使用Ganglia来监视节点的状态。
To run the LINPACK benchmark on your Linux cluster, you need to get the parallel version of LINPACK and configure it for the cluster.
要在Linux集群上运行LINPACK基准测试，我们需要获得一个并行版本的LINPACK，并对这个集群配置LINPACK。
In the following sections, we will write some parallel programs and run them on this cluster.
在接下来的几节中，我们将编写一些并行程序，并在这个集群上运行这些并行程序。
If your server still has a lot of free CPU cycle, the method you want to try first will be vertical scaling, which multiple server cluster members work in parallel to process the incoming messages.
如果您的服务器仍然有许多空闲的CPU周期，您首先应该去尝试的方法将是纵向伸缩，这种方法中，多个服务器群成员并行处理接收的消息。
Programs must be written to explicitly take advantage of the underlying hardware, and existing non-parallel programs must be re-written if they are to perform well on a cluster.
程序在编写时必须要显式地利用底层硬件的优点，如果现有的非并行程序不能很好地在集群上运行，那么这些程序必须重新进行编写。
In general, the application program running in High-Performance computing Cluster shorten computing period through parallel arithmetic.
高性能集群上运行的应用程序一般通过并行算法来缩短计算周期。
High performance parallel computation based on computer cluster has become an efficient method for most engineering and scientific computation.
基于计算机集群的高性能并行计算，已成为广大工程与科学计算的有效手段。
Besides pursuing the utilization of the system, we must improve the speedup of the parallel task in computing cluster.
在计算机群中，除了追求系统的利用率外，还需提高并行任务的加速比。
T his paper analyzes and compares several kinds of structures of the software for cluster-based tiled display and puts forward a new software interface suitable for parallel programming.
该文分析比较了几种基于机群的拼贴显示系统的软件结构并在此基础上提出了一种新的适合并行程序环境的软件接口。
Finally, from the theoretic and practical study, the feasibility of proceeding parallel power flow calculation in cluster of PCs was discussed and some meaningful conclusions were also achieved.
最后，根据理论研究和实际测试的结果，总结了利用PC机群系统进行并行潮流计算的可行性，得出了一些有意义的结论。
Parallel Virtual machine (PVM) is a software package that permits a heterogeneous collection of 'Cluster Computers' to function as a single high-performance parallel machine.
并行虚拟机(PVM)是一个可以将异构的“机群计算机”集合虚拟成一台高性能并行机的软件包。
This model made full use of the pre-judgment knowledge in the image, and designed a workstation of COW cluster to achieve the parallel algorithms.
该模型充分利用图像中每一个像素的预判断知识，设计COW工作站机群以结合实现并行算法。
The parallel finite element method using domain decomposition technique is adopted to the distributed parallel environment of workstation cluster.
将采用区域分解技术的并行有限元方法应用于工作站机群的分布式并行环境。
Finally, from tlhe theoretical and practical study, the feasibility of proceeding parallel WKBZ in cluster of PCs was discussed and some meaningful conclusions were also achieved.
最后，根据理论研究和实际测试的结果，总结了利用PC机群系统进行并行WKBZ运算的可行性，得出了一些有意义的结论。
The cluster parallel computer becomes the hotspot in parallel computing research. This paper discusses several factors that should be considered in cluster parallel system design.
机群并行计算机成为并行计算研究的热点。本文介绍了在设计机群并行系统时需要考虑的几点因素。
This paper presents a parallel algorithm for Lagrange's polynomial interpolation which is based on cluster parallel environment.
提出在机群系统并行环境下的构造拉格朗日插值多项式的一种并行算法。
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