如何在代码中使用网格处理程序？
Dojo网格处理程序工作原理。
第2部分：使用通用的网格处理程序创建具有分页功能的DojoDataGrid组件。
Part 2: Creating a Dojo DataGrid component with paging using a generic grid handler.
真正的网格处理，其中应用程序跨多个进程分布，使执行始终与数据共存，从而提供进程内数据访问性能。
True grid processing, where an application is distributed across multiple processes such that execution is always co-located with the data, providing in-process data access performance.
提出了一种基于网格处理的算法实现多传感器数据统一，并使用了间距和立方体两种点数据精简算法。
Present an algorithm based on mesh processing to merge multi-sensor data. Use distance method and cube method to realize point data reduction.
网格曲面编辑是网格处理的核心技术，其目的是为用户提供直观，高效的曲面编辑手段，实现复杂几何模型的构造。
As the core technology of mesh processing, mesh editing aims at the effective construction of complex geometry models with intuitive and high-efficiency editing approach.
我们将演示如何编写生成上例布局信息的JSON文件，但我们将首先描述网格处理程序如何实际生成DojoDataGrid小部件。
We'll show you how to write the JSON file to generate the layout for the example above, but first we'll describe how the grid handler actually generates the Dojo DataGrid widget.
本文对HSCAE-3DRF6.0的网格处理所涉及的关键技术模块进行了研究，包括输入文件的形式、二维网格的划分、三维实体网格的划分三个部分。
The key technology of the HSCAE-3DRF6.0 in the meshing part has been discussed in this paper including the types of the input file, the mesh of surface and the mesh of solid.
您可以使用网格处理程序以最少量的代码在Business Space中创建具有分页功能的DataGrid组件。您可以在不影响代码的情况下轻松改变布局。
You can use the grid handler to create a DataGrid component with paging in Business Space with minimal coding If you need to change the layout, you can do so easily without impacting the code.
可伸缩性：异步工作的处理在网格节点本身上发生。
Scalability: the processing of the asynchronous work happens on the grid nodes themselves.
根据配置，每条消息都将在另一个网格jvm中复制一次并在主分区停用时在那里处理。
As configured, each message is replicated once in another grid JVM and will be processed there if a primary partition goes down.
清单3中的代码展示了一个阻塞调用，其中客户端将一直等待，直到消息被处理并报告哪个网格分区已被选中来使用该消息。
The code in Listing 3 shows a blocking call, in which the client waits until the messsage has been processed to report which grid partition was chosen to consume the message.
因为它能用非常简洁的方式进行并发处理，这可能是在多核环境下构建网格方案很好的备选方法。
Because it enables concurrent processing in a very neat way it would be a good candidate for building Grid Solutions on a multi-core environment.
基于这些服务质量创建的基础设施还可以为网格式计算和数据处理提供优秀的平台。
The infrastructure created by these qualities of service can also provide an excellent platform for grid-style computing and data processing.
GIG提高了对环境中需求的响应，用户可以根据需要从网格中的任何位置访问、共享、收集、处理、存储、传播和管理信息。
The GIG evolved in response to the need for an environment in which users can access, share, collect, process, store, disseminate, and manage information on demand from any location in the grid.
GIG提高了对环境中需求的响应，用户可以从网格中的任何位置随需访问、共享、收集、处理、存储、传播和管理信息。
GIG evolved in response to the need for an environment in which users can access, share, collect, process, store, disseminate, and manage information on demand from any location in the grid.
另外还有一些新的功能，用于将数据区块化存储到网格中，使用不同级别的冗余，以及在内存中处理超大型的数据集。
The value-add is the ability to chunk up data and store them in a grid, with varying degrees of redundancy, which allows for processing of very large data sets entirely in memory.
如果数据源不可用，则网格会继续处理请求，之后再重新尝试。
If the data source is not available, then the grid continues processing requests and will try again later.
在任何情况下，输入数百或数千条记录都需要一定的时间，而网格计算可在这方面显著提高处理速度。
In any case, it can take quite a while to enter hundreds or thousands of records and this is where grid computing can speed things up enormously.
这个示例将把一条消息发送到一个网格中，识别已指定哪个网格分区来处理该消息，并将该信息返回消息发送者。
This example will dispatch a message into the grid, identify which grid partition has been assigned to process the message, and return that information back to the dispatcher.
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。
Compute grid delivers an enterprise grid and batch processing infrastructure that has incorporated several key best practices from these computing paradigms.
目录服务（处理网格基础架构的管理进程）并未将数以千计的服务器分到一个核心分组中，而是将所有成员归类为20 个分组。
Rather than wrangling thousands of servers into a single core group, the catalog service (an administrative process which handles the structure of the grid) divides the members into groups of 20.
这个对象充当在网格中接收到消息时需要处理的工作的数据容器。
This object serves as the data container for the work that needs to be done upon receipt of the message in the grid.
LHC计算网格(LCG)由分布在世界各地的近40000个数据处理CPU构成。
An LHC Computing Grid (LCG) consists of around 40,000 worldwide distributed CPUs that process the data.
这些库包括RIA组件，如网格，图表和复杂的表单元素，以及处理Ajax的工具。
All these libraries include RIA components like grids, graphs, and complex form elements, as well as utilities to handle Ajax.
可靠性：就像WebSphereeXtremeScale复制和处理应用程序对象那样，同样的功能也被应用到网格中的异步消息。
Reliability: Just as WebSphere eXtreme Scale replicates and handles application objects, the same function is applied on the asynchronous messages within the grid.
它也处理Ajax和直接远程web访问，涵盖了UI控件和小部件、图和表、以及一个功能强大的数据网格控件，还有很多很多…令人印象深刻。
It also handles Ajax and direct web remoting, has an impressive collection of UI controls and widgets, charts and graphs, a powerful data grid control, and much, much more.
使用EntityManager . persist方法将对象存储到网格中，与对JPA所做的处理一样。
You store objects into the grid using the EntityManager.persist method, much as you would with JPA.
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。
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.
下面我们看看要将这些消息中的一条发送到网格中并处理结果需要如何操作？
Let's take a look at what you would do to send one of these messages into the grid and process the result.
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