• MPP, or massively parallel processing.

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

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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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  • It lacked floating point and parallel processing ability.

    它缺少浮点和并行处理功能。

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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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  • 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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  • 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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  • 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 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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  • 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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  • Architecture and load balancing strategy are two important factors that influence the performance of parallel processing systems.

    体系结构和负载平衡策略是影响并行处理系统性能的两个重要因素。

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  • Some loads do not lend themselves to parallel processing, so splitting the load across multiple servers or adding more CPUs doesn't help.

    一些负载本身不适合并行处理,所以跨多个服务器分配负载或添加更多CPU不会有帮助。

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

    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。

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  • The GPars Executors DSL makes it easy to transform the program in Listing 1 from serial processing to parallel processing, as shown in Listing 2

    GParsExecutorsDSL使得我们更容易将清单1中的程序从串行处理转换为并行处理,如清单 2 所示

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  • This includes both caching the data close to the application and replicating application logic close to the (partitioned) data for parallel processing.

    这既包括缓存数据使其接近应用程序,又包括复制靠近(分区)数据的应用程序逻辑,以实现并行处理。

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

    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。

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  • Each job within the four use-case scenarios is a parallel job designed to take full advantage of WebSphere DataStage's parallel processing capabilities.

    在这四个用例场景中,每个作业都被设计为并行作业,以便充分利用WebSphereDataStage的并行处理能力。

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

    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。

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  • And the answer is, unlike many, unlike commercially generated computers, the brain works through parallel processing, massively parallel distributed processing.

    问题的答案是这样的,与出于商业目的而制造的计算机不同,大脑采用并行加工的方式处理信息,采用广泛分布的并行加工。

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  • Unfortunately, parallel processing is sometimes confused with concurrent processing, so the description of concurrent parallel jobs can add even more confusion.

    遗憾的是,平行处理有时会和并发处理(concurrentprocessing)相混淆,因此并发平行作业(concurrent parallel job)这个描述语可能会添加更多混淆。

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  • Therefore, consider a combination of MapReduce-style parallel processing and load balancing when planning to process a large amount of data on your cloud system.

    因此,在计划在云系统上处理大量数据时,考虑MapReduce样式并行处理和负载平衡的组合。

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