• 例如,DB2支持大规模并行处理(MPP)构件,并能在单个分区(EE)或者多个分区(EEE)上运行。

    For example, DB2 supports massively parallel processing (MPP) architecture and can run on a single partition (EE) or multiple partitions (EEE).

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  • 虚拟处理器可以执行并行处理。

    Virtual processors can perform parallel processing.

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  • 它缺少浮点和并行处理功能。

    It lacked floating point and parallel processing ability.

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  • 并行处理的结果可以整合到一个位置。

    The results of the parallel processing can then be consolidated in one place.

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  • 处于并行状态的多个任务明显表明存在并行处理。

    Multiple jobs in parallel status clearly indicate parallel processing.

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  • 一个在多个从业者的开发流中并行处理的建模文件。

    A modeling file is worked on in parallel in the development streams of multiple practitioners.

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  • 正如前面提到的,单个工作线程无法并行处理多个事务。

    As previously stated, a single worker thread can't process multiple transactions in parallel.

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  • 使用何种类型的并行处理也会受到查询的执行方式的影响。

    The type of parallelism used is also influenced by how the query is processed.

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  • 如果使用并行处理,服务器可以按照任何顺序执行成批请求。

    In case of parallel processing, the server can execute the batched requests in any order.

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  • 因此,这只需要最少的努力就可以提供自动的并行处理能力。

    Consequently this provides automatic parallelization with minimal effort on your part.

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  • 这是因为学生通常在操作系统课程中遇到并行处理和并行问题。

    That's because students usually encounter parallel processing and concurrency issues in an operating systems course.

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  • 我也可以并行处理每个查询所得结果,在其到达时打印到屏幕。

    I can also process the results from each query in parallel, printing them to the screen as they arrive.

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  • 吞吐量受到两方面的影响:响应时间和并行处理能力(线程处理)。

    Throughput is affected by two aspects: response time and parallel processing capabilities (threading).

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  • 通过该示例,可得出以下用于并行处理数量不定的实例的通用模式。

    The example suggests the following general pattern for parallel processing of a dynamic number of instances.

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  • 但是,通过前面的讨论很容易看出Hadoop如何提供并行处理。

    But from the previous discussion, it's easy to see how Hadoop provides parallel processing of work.

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  • 我们还假设Web服务调用使用的时间相同并且全部可以并行处理。

    We also assume that Web service invocations take the same time and can all be done in parallel.

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  • Accelerator非常适合编写模板风格的数据并行处理程序。

    Accelerator is quite well suited for writing stencil-style data parallel programs.

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  • 除了上述主题,IIF未来的工作还将包括通过利用并行处理来提升性能。

    Further work on IIF will comprise, among other topics, the achievement of performance improvements by leveraging parallel processing.

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  • 能编译规则并利用并行处理能力的清理服务器实现的性能将高于其他实现。

    Cleansing server implementations that can compile the rules and exploit parallel processing capabilities will perform better than alternative implementations.

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  • 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。

    You can think of it as distributed and large-scale cluster computing and as a form of network-distributed parallel processing.

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  • 这种两层式架构被称为非对称的大规模并行处理(AMPP),如图1所示。

    This two-tier architecture is called Asymmetric Massively Parallel Processing (AMPP), as shown in Figure 1.

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  • 他们“获得”并行性,并且让许多实现快速、准确计算所需的问题并行处理。

    They "get" concurrency and many of the issues required to implement fast, accurate computations in parallel.

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  • 当创造一个序列图,显示并行处理活动的时候,需要使用并行组合碎片元件。

    The parallel combination fragment element needs to be used when creating a sequence diagram that shows parallel processing activities.

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  • 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。

    Input data is partitioned in such a way that it can be distributed among a cluster of machines for processing in parallel.

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  • 如果在消息侦听器服务线程池中有足够的线程,则将看到四个线程并行处理消息。

    If we have enough threads in the message listener service thread pool, then we will see four threads processing messages in parallel.

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  • 同时,他指出程序员学习并行处理还要知道如何实现与大容量数据库的快速接口。

    He added that the new capabilities would also mean that programmers will have to learn how to deal with nearly instant access to large volumes of data.

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  • 这些年,DB 2通过实现各种并行处理的方法,已经大大提高了访问数据的性能。

    Over the years DB2 has enabled improved performance in accessing data through the implementation of various methods of parallel processing.

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  • 命令式的并行处理是基于并行版本的Do、For和For -Each操作。

    Imperative parallelism is based on parallel versions of Do, For, and For-Each.

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  • 在上例中,关键数据是用户配置文件,可以跨一组机器分布(分区)以进行并行处理。

    In the initial example above, the key data was user profiles, which could be distributed (partitioned) across a set of machines for parallel processing.

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  • 在处理多个文档时,DataStage并行处理和分区有助于增加吞吐量。

    DataStage parallelism and partitioning can help increase throughput when working with many documents.

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