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。
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。
Parallel processing has two aspects: data and process.
平行处理拥有两个方面：数据和流程。
Multithreading and parallel processing came about because I read articles on it, thought it sounded interesting, and figured it out on my own; I keep writing apps that use those techniques.
多线程和并行处理是因为我读了相关文章，觉得它看起来很有趣，然后再自己把它弄清楚了；然后我就一直使用这些技术来写应用。
It lacked floating point and parallel processing ability.
它缺少浮点和并行处理功能。
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。
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。
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。
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。
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。
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。
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。
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。
Virtual processors can perform parallel processing.
虚拟处理器可以执行并行处理。
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。
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。
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。
As mentioned before, parallelism implies the parallel-processing capability of a task where the task is split to different subtasks with consolidation at the end.
正如之前提到的，并行性指的是任务的并行处理能力，其中任务会分成不同的子任务，它们最后会合并为一个。
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)。
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。
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。
IDS offers a replication solution that takes full advantage of scalable parallel-processing server architectures to meet the most demanding computing environments.
IDS提供了一个复制解决方案，该解决方案利用可伸缩并行处理服务器架构，以满足要求最高的计算环境。
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。
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。
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。
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。
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。
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。
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。
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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