The GPU is the vehicle for exploiting data parallelism.
该GPU是利用车辆的数据并行。
In my next article, I will discuss Imperative Data Parallelism and Imperative Task Parallelism.
在我的一篇文章中，我将讨论势在必行数据并行而紧迫的任务并行。
A managed programming model for data parallelism, task parallelism, and coordination on parallel hardware unified by a common work scheduler.
一个托管编程模型，支持数据并行处理，任务并行处理，并通过一个通用的工作调度器统一协调并行运行的硬件。
Through the existing historical data parallelism, combs in Sixi Combo's history has moving actor at least 721 people, the plays 630 kinds.
通过现有史料的排比，梳理出四喜班历史上活动的演员至少721人，剧目630种左右。
It makes effective use of data parallelism and can act on entire arrays at once by executing instructions on different indexes of an array in different processors.
它可以有效地利用数据的并行，并将其作为一个整体数组在不同处理器上使用不同的索引来同时执行指令。
Based on the idea of data parallelism, a parallel training model for RBF (radial basis function) neural network in time-series prediction to improve the training speed is proposed.
根据数据并行的思想，提出了在时序预测中并行训练神经网络的模型，以提高训练速度。
Stream architecture is a emerging computer architecture which has enormous performance for applications with great data parallelism such as scientific computation and media processing.
流体系结构是一种新型体系结构，它对科学计算和媒体处理等具有大规模数据并行性的应用具有很高的计算性能。
NFS is now a stateful protocol and includes optimizations for data and metadata separation as well as data access parallelism.
NFS现在是一个状态协议并包括对数据和元数据分离的优化以及数据访问并行。
The strategy is to spread the data for all tablespaces across as many drives as possible to maximize the IO parallelism.
策略是将所有表空间的数据扩展到尽可能多的驱动器中，以最大化IO并行性。
With inter-partition parallelism, for any given query, DB2 first identifies the partitions where the data resides.
若启用分区间并行性，对于任何给定的查询，DB2首先识别数据所驻留的分区。
Partition the table space as evenly as possible, because the degree of parallelism is influenced by skews in the data.
尽可能均匀地对表空间分区，因为数据不整齐会对并行度产生影响。
Advanced parallelism, data and partition affinity, and other techniques described in this article provide an essential set of tools that can help streamline offline processing.
本文描述的高级并行机制、数据和分区关联以及其他技术都提供了一组重要工具，使用这些工具可以帮助简化脱机处理。
The Balanced data Distributor takes advantage of parallelism to speed up data transformations, so it won't have an effect on single-processor configurations.
平衡数据分发器利用并行机制来加快数据传输的速度，因此不会对单处理器的环境产生影响。
The key advantages of the LOAD utility are the same for XML as for relational data, such as the data does not get logged and parallelism is automatically used to increase performance.
LOAD实用程序的主要优点可同时用于XML数据和关系数据，例如数据不会被记录并自动使用并行功能提升性能。
If a source system is not partitioned, WebSphere DataStage initially reads the data sequentially, and then partitions it in order to take advantage of parallelism.
如果一个源系统是非分区的，那么WebSphereDataStage首先会连续地读数据，然后将数据分区，以便利用并行。
CP parallelism (multiple tasks on multiple CPs) was implemented in DB2 V4. Sysplex query parallelism (multiple tasks on multiple members of a DB2 data sharing group) was introduced in DB2 UDB V5.
Sysplex查询并行(一个DB 2数据共享组中的多用户和多任务)是在DB 2UDBv5中引入的。
Like the Google framework MapReduce; MR describes a way of implementing parallelism using the Map function which splits a large data into multiple key-value pairs.
如Google框架MapReduce；MR描述了一种使用Map功能实现并行性的方法，它将大型数据分割成多个键-值对。
Some products that realize this pattern exploit parallelism to process the data more effectively.
有些实现了该模式的产品采用并行的方式对数据进行更有效地处理。
These sorts of applications are characterized by large amounts of live heap data and considerable thread-level parallelism, and are often run on high-end multi-core processors.
这类应用的特点是存在大量活跃堆数据和线程级别的并发，并且往往运行在高端多核处理器上。
This is a good fit for large-scale server applications which often have large amounts of live heap data and considerable thread-level parallelism.
这对于经常产生大量存活堆数据和线程级别数据的大规模服务器端应用来说是非常棒的。
While query CP parallelism used multi-tasking for a query within a DB2 subsystem, this method enables all the members of a DB2 data-sharing group to process a single query.
CP并行可以在db2子系统中为一条查询使用多个任务，而sysplex查询并行这种方法使一个DB 2数据共享组中的所有成员可以一起处理一个查询。
This paper firstly discusses three types of parallelism in LS SIMD array microprocessor, they are the concurrence of data, the pipelining and the operation in parallel.
首先介绍了L SSIMD阵列微处理器的三种并行性：数据并行、流水线并行和指令的并行执行。
In this article, a mathematical model for data processing was established to reduce the complication in processing the data of parallelism error according to the requirements of optimization method.
针对平行度误差数据处理繁琐的问题，按最优化计算方法的要求，建立了数据处理的数学模型。
In measuring and evaluating the parallelism error with the leveler, data processing is conventionally carried out by manually graphic and calculation methods according to the data measured.
在使用水平仪对平行度误差进行测量及评定时，目前一直沿用着用手工按图解法或计算法进行数据处理。
Modern high-performance processor can exploit more parallelism. As one program stops due to waiting for memory data, processor can choose to run another program.
现代高性能微处理器已经能够开发出越来越多的并行性，当一段程序因等待访存数据而停顿时，处理器可以选择执行其他程序段。
Our design emphasizes on using parallel processing technology from multi-level to improve speed, including pipelining design, data-flow drive strategy and algorithmic parallelism design.
本文的设计着重从多个层次利用并行处理技术来提高环路滤波的速度，包括流水线设计、数据流驱动控制策略以及算法并行性设计。
To further excavate the nesting loop parallelism and the data access-time locality, a linearity cyclic transformation functional module is used to improve the algorithm.
为了进一步地发掘嵌套循环的并行性和数据访问的时间局部性，对算法增加了一个线性循环变换的功能模块来进行改进。
In analysing the parallelism of loop program the analysis of data dependency, which mainly concerns the analysis of a set of elements in loop program is the most important and fundamental.
为分析循环程序的并行性，最重要且最基本的工作是数据相关性分析，而数据相关性分析最主要的内容之一是循环程序中数组元素间的数据相关性分析。
This paper presents a method to execute logic programs in AND - parallelism based on static data analysis.
本文描述了采用静态数据分析实现逻辑程序“与”并行的方法。
This paper presents a method to execute logic programs in AND - parallelism based on static data analysis.
本文描述了采用静态数据分析实现逻辑程序“与”并行的方法。
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