• The GPU is the vehicle for exploiting data parallelism.

    GPU利用车辆数据并行

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  • In my next article, I will discuss Imperative Data Parallelism and Imperative Task Parallelism.

    的一文章中,讨论势在必行数据并行紧迫任务并行。

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  • A managed programming model for data parallelism, task parallelism, and coordination on parallel hardware unified by a common work scheduler.

    托管编程模型支持数据并行处理,任务并行处理,通过一个通用工作调度器统一协调并行运行的硬件

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  • Through the existing historical data parallelism, combs in Sixi Combo's history has moving actor at least 721 people, the plays 630 kinds.

    通过现有史料排比梳理四喜班历史活动演员至少721,剧目630种左右。

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  • 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.

    可以有效地利用数据并行作为整体数组不同处理器上使用不同的索引同时执行指令

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  • 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.

    根据数据并行思想提出了时序预测并行训练神经网络模型提高训练速度

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  • Stream architecture is a emerging computer architecture which has enormous performance for applications with great data parallelism such as scientific computation and media processing.

    体系结构一种新型体系结构,科学计算媒体处理具有大规模数据并行性应用具有很高的计算性能

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  • NFS is now a stateful protocol and includes optimizations for data and metadata separation as well as data access parallelism.

    NFS现在一个状态协议包括数据元数据分离优化以及数据访问并行

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  • The strategy is to spread the data for all tablespaces across as many drives as possible to maximize the IO parallelism.

    策略所有空间数据扩展尽可能驱动器中,最大化IO并行性

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  • With inter-partition parallelism, for any given query, DB2 first identifies the partitions where the data resides.

    启用分区间并行性对于任何给定查询DB2首先识别数据所驻留分区

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  • Partition the table space as evenly as possible, because the degree of parallelism is influenced by skews in the data.

    尽可能均匀地空间分区因为数据不整齐会并行度产生影响。

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  • 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.

    本文描述高级并行机制数据分区关联以及其他技术提供了一重要工具,使用这些工具可以帮助简化脱机处理

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  • The Balanced data Distributor takes advantage of parallelism to speed up data transformations, so it won't have an effect on single-processor configurations.

    平衡数据分发利用并行机制加快数据传输的速度,因此不会处理器的环境产生影响

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  • 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实用程序主要优点同时用于XML数据关系数据例如数据不会记录自动使用并行功能提升性能。

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  • 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.

    如果一个系统是非分区的,那么WebSphereDataStage首先会连续地数据然后将数据分区以便利用并行。

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  • 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数据共享中的用户和多任务)DB 2UDBv5中引入的。

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  • 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.

    Google框架MapReduceMR描述了一种使用Map功能实现并行性方法大型数据分割多个键-值对。

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  • Some products that realize this pattern exploit parallelism to process the data more effectively.

    有些实现了模式产品采用并行的方式数据进行有效地处理

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  • 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.

    应用特点存在大量活跃数据线程级别的并发并且往往运行高端多核处理器上。

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  • This is a good fit for large-scale server applications which often have large amounts of live heap data and considerable thread-level parallelism.

    对于经常产生大量存活数据线程级别数据的大规模服务器应用来说非常棒的。

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  • 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db2子系统查询使用多个任务sysplex查询并行这种方法使一个DB 2数据共享中的所有成员可以一起处理一个查询。

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  • 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L SSIMD阵列微处理器并行性:数据并行、流水线并行指令的并行执行。

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  • 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.

    针对平行误差数据处理繁琐问题,最优化计算方法的要求,建立数据处理数学模型

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  • 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.

    使用水平仪平行度误差进行测量评定时,目前一直沿用着手工图解法计算进行数据处理

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  • 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并行性程序等待访存数据而停顿时,处理器可以选择执行其他程序段。

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  • 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.

    本文设计着重多个层次利用并行处理技术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。

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  • 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并行性数据访问的时间局部性算法增加了一个线性循环变换功能模块进行改进

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  • 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.

    分析循环程序并行性,重要且最基本的工作数据相关性分析数据相关性分析最主要的内容之一是循环程序数组元素数据相关性分析。

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  • This paper presents a method to execute logic programs in AND - parallelism based on static data analysis.

    本文描述采用静态数据分析实现逻辑程序并行方法

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  • This paper presents a method to execute logic programs in AND - parallelism based on static data analysis.

    本文描述采用静态数据分析实现逻辑程序并行方法

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