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

    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。

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  • MPP, or massively parallel processing.

    即大规模并行处理(massively parallel processing)。

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  • MDM_Default.apt is used for parallel processing.

    MDM_Default . apt用于平行处理。

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  • Virtual processors can perform parallel processing.

    虚拟处理器可以执行并行处理。

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  • Parallel processing has two aspects: data and process.

    平行处理拥有两个方面:数据和流程。

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  • It lacked floating point and parallel processing ability.

    它缺少浮点和并行处理功能。

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  • Parallel processing is not suitable in all situations.

    并行计算并不是任何状况都适用。

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  • Multiple jobs in parallel status clearly indicate parallel processing.

    处于并行状态的多个任务明显表明存在并行处理。

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

    并行处理的结果可以整合到一个位置。

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  • Non-partitioned databases for which intra-parallel processing is enabled.

    启用了内部并行(intra - parallel)处理的未分区(non - partitioned)数据库。

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  • Processing types: SPML supports both sequential and parallel processing of requests.

    处理类型:SPML同时支持并行和顺序处理请求。

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

    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。

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  • DB2 UDB V5 extended parallel processing even further by introducing sysplex query parallelism.

    DB 2UDBV 5引入了sysplex查询并行,进一步扩展了并行处理。

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  • Specifying DEGREE(1) prohibits parallel processing, while DEGREE(ANY) enables parallel processing.

    若指定DEGREE(1),表示禁止并行处理,若指定 DEGREE(ANY),则表示支持并行处理。

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

    但是,通过前面的讨论很容易看出Hadoop如何提供并行处理。

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

    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)。

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  • The parallel processing via SOA functions and legacy IT systems can cause instability in that state model.

    通过SOA功能和遗留IT系统的并行处理可能会导致该状态模型中出现不稳定的情况。

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  • The explosion of new applications will be as significant as existing applications on parallel processing.

    多核时代已经来临,而他坦言,程序员并没有充分发挥出硬件的潜力,他认为学习多核处理是个不小的挑战,“开发新应用和将现有应用并行处理同同等重要。”

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

    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。

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

    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。

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  • This basic functionality, when built over clusters, can easily turn into a high-speed parallel processing system.

    这个基本的功能如果构建在集群之上,就可以很容易转变为高速并行处理系统。

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  • In Figure 3, with enough nodes for parallel processing, t 'par can be made close to zero but Tseq does not change.

    在图3中,如果采用足够多的节点来进行并行处理,那么T'par就可以非常接近于0,但是Tseq却不会变化。

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

    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。

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  • Here is a list of things to consider in order to optimize the performance boost that parallel processing can deliver.

    为了进一步促进并行处理所能带来的性能提高,下面列出了一些需要考虑的事情。

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  • Instead, Hadoop can be viewed as a way to distribute both data and algorithms to hosts for faster parallel processing.

    相反地,Hadoop可以被视为一种可以同时将数据和算法分配到主机以获得更快速的并行处理速度的方法。

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

    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。

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

    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。

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

    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。

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  • Parallel processing is becoming more asymmetric, thanks to powerful graphics-processing chips being used in desktops and notebook PCs.

    因为强大的图形处理芯片应用于台式机和笔记本电脑,程序设计变得越来越不对称。

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  • Those options fall into two camps: systems supporting massively parallel processing (MPP), and those harnessing column-store databases.

    大致可分为两条路:系统支持巨大的平行处理(MMP),或那些可以利用柱形储存的数据库。

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