Compute grid is an enterprise grid computing run time.
计算网格是企业网格计算运行时环境。
Likewise, Compute grid is not in the scheduling business; instead its focus is to run batch and grid workloads quickly while ensuring business-level service agreements are achieved.
同样地，计算网格并不属于调度业务；相反，其重点是，在确保实现业务级服务协议的同时，迅速地运行批处理和网格工作负载。
Compute grid delivers features for providing operational control and management of a collection of highly-scalable grid endpoints.
计算网格提供了各种特性，以进行操作控制和管理高度可伸缩的网格端点集合。
Combining the Parallel Job Manager (PJM), N-tier caching structures, and affinity routing provides a powerful, high-performance compute grid.
组合使用并行作业管理器(PJM)、n层缓存结构和关联路由，可以提供功能强大的高性能计算网格。
Compute grid delivers an enterprise grid and batch processing infrastructure that has incorporated several key best practices from these computing paradigms.
计算网格提供了一种企业网格和批处理基础结构，该结构合并了来自这些计算范例的几个关键的最佳实践。
In addition, if you use a compute grid to process tasks in parallel, you usually want a data grid superimposed as well, to provision the state for the compute grid to work off.
此外，如果使用计算网格并行处理任务，通常也需要一个数据网格来为其提供清理状态。
Another use case for Shoal is that the clustering framework becomes the underlying engine for a compute grid application.
Shoal的另一个使用地方是作为一个计算网格应用的底层引擎。
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）。
Grid Execution tier, composed of technology from both Compute Grid and Data Grid, runs the batch jobs.
网格执行层由来自计算网格和数据网格的技术组成，可以运行批处理作业。
Figure 16. Compute Grid leverages the principles of utility computing and enables datacenters to provide batch as a service.
图16.计算网格利用效用计算的原则，并支持数据中心将批处理作为服务提供。
Therefore the requirement for Compute Grid to integrate with the existing enterprise scheduler was non-negotiable.
因此，对于计算网格与现有企业调度器集成的需求是必不可少的。
These customers were not willing to redefine their operational plans within Compute Grid.
这些客户并不情愿在计算网格中重新定义他们的操作计划。
Job Scheduler tier, which is part of the Compute Grid component, accepts new job submissions, dispatches the jobs to the end points, and provides operational control over the jobs.
作业调度器层是计算网格组件的组成部分，可以接受新的作业提交、为端点分派作业、并提供对作业的操作控制。
A large, single job is submitted to the job Dispatcher in Compute Grid.
将单个较大的作业提交给计算网格中的作业分配器。
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。
Compute Grid includes a feature called Parallel job Manager (PJM) which you can use to define rules for decomposing large jobs into many small jobs.
计算网格包括一个称为并行作业管理器(PJM)的特性，您可以使用该特性来定义将较大作业分解为许多较小作业的规则。
Figure 1 illustrates the influences of Compute Grid.
图1说明了计算网格的影响。
Compute Grid does this while enforcing the enterprise-oriented requirements of security, efficient resource management, transactional integrity etc previously mentioned.
同时，计算网格还可以加强前面所提到的面向企业的安全需求、有效的资源管理、事务完整性。
Two important HPC patterns have been incorporated into Compute Grid.
计算网格中合并了两种重要的HPC模式。
Figure 5 shows the Compute Grid infrastructure including the PJM, and shows the general flow of execution for the PJM.
图5显示了包括PJM的计算网格基础结构，并且显示了PJ M的常规执行流。
Compute Grid can leverage these technologies and principles in several ways.
计算网格可以通过几种不同的方式来利用这些技术和原则。
Compute grid is an enterprise grid and batch computing infrastructure.
计算网格(Compute Grid)是企业网格和批处理计算基础结构。
On the mainframe, Compute Grid integrates with the z/OS workload manager (zWLM) to provide these functions.
在大型机中，计算网格与z/OS工作负载管理器 (zWLM) 进行了集成，以提供这些功能。
Compute Grid has incorporated many utility computing features. Specifically, it includes.
计算网格集成了许多效用计算特性。
The principle component in the Proxy Service pattern is the proxy service itself, which serves as a front end to the Compute Grid runtime and exposes logical business functions.
代理服务模式中的主要组成部分是代理服务本身，它充当Compute Grid运行时的前端，并公开逻辑业务函数。
Compute Grid is composed of two major components.
Compute Grid由两个主要组件组成。
Several system programming interfaces (SPI) are introduced in Version 6.1 of Compute Grid.
Compute Grid版本6.1引入了多个系统编程接口(SPI)。
This template is the xJCL template described as part of the variable substitution feature of Compute Grid.
此模板是作为Compute Grid变量替换功能一部分描述的xJCL 模板。
There are several Compute Grid features that are also involved in the proxy service pattern.
Compute Grid的多个功能还涉及到代理服务模式。
The quality of grid directly affects the precision of numerical simulation and the convergence of numerical compute, Furthermore, this effect is even crucial in many instances.
网格品质的好坏直接影响到数值模拟的精度和数值计算的收敛性，而且这种影响在许多情况下甚至是决定性的。
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