The first of these is used for compute traffic and general cluster communication.
其中的第一个网络用于计算流量和总的集群通信。
For a small cluster, a single management node can provide the bandwidth required to provision all the compute nodes.
对于一个小的集群，单一一个管理节点就能提供供应所有的计算节点所需的带宽。
Compute nodes — These nodes run the cluster workload, accepting jobs from the scheduler.
计算节点——这些节点运行集群的工作负荷，接受来自调度器的作业。
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。
User nodes — Ideally, the compute nodes of a cluster should not accept external connections and should only be accessible to system administrators through the management server.
用户节点——理想情况下，集群的计算机节点不应该接受外部连接，只应当由管理员通过管理服务器访问。
The second step is to compute the cluster frequency for each cluster, which is the sum of all the rule frequencies within that cluster.
第二步是计算每个集群的集群频率，这是该集群中所有规则依赖关系的总和。
Think of a compute cluster or grid composed of thousands of commodity computing nodes.
（想一想拥有数千个计算节点的计算集群或网格）。
If your servers are pooled in a compute cluster, the head node is the only crucial machine; the rest can start and stop and crash freely.
如果服务器部署在计算机集群中，那么最前端的节点是惟一的关键机器；其他机器可以随意启动和停止，崩溃了也不要紧。
The compute network is used for most tasks, including inter-process communications (such as MPI) and cluster management.
多数任务使用计算机网络，包括进程间通信(例如mpi)和集群管理。
Compute the centroid, which is the average of each column of data using only the members of each cluster.
计算重心，即只使用每个群集的数的每列数据的平均数。
Compute the distance from each data sample to the cluster center (our randomly selected data row), using the least-squares method of distance calculation.
计算从每个数据样例到群集中心(我们随意选中的数据行)的距离，使用距离计算的最小平方法。
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。
Use entries similar to _s: client-nonquorum in later stages for all the other nodes to be added to the cluster, such as compute nodes, user nodes, and management nodes.
对要加入集群中的所有其他节点，例如计算节点、用户节点和管理节点，请在以后步骤中添加类似于_s： client -nonquorum的项。
The high performance cluster described in this example consists of five OpenPower 710 servers: one management node and four compute nodes.
本例子中所描述的高性能集群由五个OpenPower 710服务器构成：一个管理节点和四个计算节点。
At the top are the nodes of a compute cluster, such as a large pool of inexpensive, Linux-powered blades.
顶部是计算集群的节点，比如大量便宜的、基于Linux的刀片服务器群。
As another example, let's suppose you want to check that the memory size is the same in each of the compute nodes in the Linux cluster.
再举一个例子，假设要检查Linux集群中的各个计算节点中的内存大小是否一样。
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。
This flow will read messages from WebSphere MQ cluster input queues and process messages. The flow consists of a JMSInput node followed by a Compute node and a JMSOutput node.
该信息流将从WebSphereMQ集群输入队列读取消息并处理消息。
The architecture of the dynamic cluster we are building is shown in Figure 1, where the xCAT cluster consists of a management node and several compute nodes.
我们所构建的这个动态集群的架构如图1 所示，其中的xCAT 集群包括了一个管理节点和几个计算节点。
For example, if the compute tasks were not running quickly enough, simply add more duplicate machine instances to the cluster.
例如，如果计算任务的运行速度不够快，只需将更多机器实例副本添加到集群。
Monitoring is important in a high performance cluster since it is essential to know when a compute node has failed or when the desired performance is not being achieved.
在高性能集群中，监控很重要，因为要得知何时某个计算节点发生故障或者不能达到期望的性能，这是最基本的。
The compute nodes are the most disposable part of the cluster.
计算机节点是集群中最常使用的部分。
If you're putting together a compute farm or web cluster, RAID-0 is an excellent way to increase disk IO performance.
如果您正在设置computefarm或web集群，RAID - 0是一种提高磁盘io性能的极佳方法。
In network information retrieval, based on document vector space, class, cluster, ranking and relevance feedback need to compute similarity.
在网络信息检索中，基于文档向量空间的分类、聚类、排序与相关性反馈需要计算相似度。
You can use CDE to allow your colleagues to reproduce and build upon your computational experiments, to quickly deploy prototype software to a compute cluster, and to submit executable bug reports.
你同事可以使用你CDE再生一个你的计算环境，并在之上作一些拓展，以快速部署供一个计算机簇使用的原型软件，并提交可执行的漏洞报告。
You can use CDE to allow your colleagues to reproduce and build upon your computational experiments, to quickly deploy prototype software to a compute cluster, and to submit executable bug reports.
你同事可以使用你CDE再生一个你的计算环境，并在之上作一些拓展，以快速部署供一个计算机簇使用的原型软件，并提交可执行的漏洞报告。
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