• 例如DB2支持大规模并行处理MPP构件单个分区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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  • 第三视频有关命令式的并行处理

    The third video is on imperative parallelism.

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  • 虚拟处理可以执行并行处理

    Virtual processors can perform parallel processing.

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  • 缺少浮点并行处理功能

    It lacked floating point and parallel processing ability.

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  • 并行处理结果可以整合一个位置

    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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  • 一个多个从业者开发并行处理建模文件

    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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  • 使用何种类型并行处理受到查询的执行方式影响。

    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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  • 因此只需要最少努力可以提供自动并行处理能力。

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

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  • 是因为学生通常操作系统课程中遇到并行处理并行问题

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

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  • 可以并行处理每个查询所得结果,到达打印屏幕

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

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  • 吞吐量受到方面的影响:响应时间并行处理能力(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实例通用模式

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

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  • 但是通过前面讨论容易看出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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  • 我们假设Web服务调用使用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未来工作包括通过利用并行处理提升性能

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

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  • 编译规则利用并行处理能力清理服务器实现的性能高于其他实现。

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

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  • 可以视为分布式大规模集群计算某种形式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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  • 这种两层式架构称为非对称大规模并行处理(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,并且许多实现快速准确计算所需问题并行处理

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

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  • 创造一个序列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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  • 如果消息侦听器服务线程池中足够线程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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  • 输入数据使用这样一种方法进行分区,即并行处理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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  • 同时指出程序员学习并行处理还要知道如何实现容量数据库快速接口

    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方法已经大大提高了访问数据性能

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

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  • 命令式并行处理基于并行版本DoForFor -Each操作。

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

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  • 中,关键数据用户配置文件可以机器分布(分区)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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