• This dissertation focuses on the analysis, design and implementation of data-parallel memory system for Tiled Stream Processor.

    论文的研究工作着眼于分片式流处理器的数据并行存储系统的分析、设计和实现。

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  • The Accelerator system encourages you to express data-parallel algorithms in terms of whole array operations which leads to efficient implementations for various back ends (" targets ").

    Accelerator系统鼓励你以整个数组操作的方式来表述数据并行处理算法,对不同的后台程序(或“目标”)的实现更有效。

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  • The parallel and redundancy are implemented by using data communication method in emergency shutdown for enhancing the reliability of the system.

    急停系统采用数据通信的方式实现并行冗余,提高了系统的可靠性。

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  • The calculations are performed in parallel on each partition — where the data is.

    计算是在每个分区(数据所在的位置)上并行执行的。

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  • Service aggregation can be achieved using parallel process paths and data mapping.

    可以使用并行流程路径和数据映射完成服务集合。

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  • Performance can also be enhanced by striping the data over multiple data servers for parallel access.

    还可以通过在多个数据服务器上分段数据进行并行访问来增强性能。

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  • Then take advantage of any parallel structure in the data to effectively add more capacity using clusters.

    然后,利用数据中的任何并行结构,通过聚集有效地增加容量。

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  • Also, the response time of complex analytical queries can be reduced by spreading the data across multiple database partitions, such that all partitions work on their assigned data in parallel.

    此外,通过跨多个数据库分区分散数据以使多个分区可并行处理分配到其上的数据,也能减少复杂的分析查询的响应时间。

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  • In the same way, the generated intermediate data is processed in parallel, making the approach ideal for processing very large amounts of data.

    使用相同的方法,已生成的中间数据将被并行处理,这是处理大量数据的理想方法。

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  • Microsoft Research's Accelerator Project exposes a.net library for performing parallel data processing using a computer's GPU.

    微软研究院加速器项目公开了一个使用计算机的GPU完成并行数据处理的。NET函数库。

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  • Figure 21 shows how you can set up an aggregation of data for parallel ownership scenarios.

    图21演示如何为并行所有权场景设置数据聚合。

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  • The SQL Server Performance Team provides more information on best practices for using the Balanced Data Distributor in parallel environments.

    SQLServer性能团队对于在并行环境中使用平衡数据分发器提供了更多最佳实践信息。

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  • Our evaluation: The parallel Web provides no data locality whatsoever.

    我们的评估:无论如何,并行web不具备数据局部性。

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  • Accelerator is quite well suited for writing stencil-style data parallel programs.

    Accelerator非常适合编写模板风格的数据并行处理程序。

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  • Export driver - USES the FastExport protocol to perform the parallel data export.

    导出驱动程序—使用FastExport协议执行并行数据导入。

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  • MapReduce programs are designed to compute large volumes of data in a parallel fashion.

    MapReduce程序用于以并行方式计算大量数据。

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  • That will end looking looking something like hadoop, mogilefs or S3 - a data parallel architecture.

    那样最终就是像Hadoop、Mogilefs或S3一样的东西——并行数据架构。

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  • Teradata Enterprise stage - a parallel bulk data load and export solution using multiple FastLoad and FastExport sessions.

    TeradataEnterprise工作台—使用多个FastLoad和FastExport会话的并行批量数据加载和导出解决方案。

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  • Support for Dryad (large scale, data-intensive parallel programming) (soon).

    支持Dryad(大伸缩量,数据密集型的并行计算)(即将提供)。

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  • His recent focus has been on high performance computing including in-memory data grid, parallel and grid computing.

    他最近的关注点是高性能计算,包括内存数据网格、并行计算和网格计算。

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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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  • This problem also highlights one of the fundamental design principles when it comes to working with parallel data structures: Do not assume sequential execution of any code, ever.

    这个问题也突显了并发数据结构的基本设计原则之一:决不要假设任何代码会连续执行。

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  • PLINQ is a declarative model for performing data parallel queries against XML and in-memory objects.

    PLINQ是一个对XML和内存对象进行并行查询的声明式的模型。

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  • Every operation works on multiple data elements in parallel, stored in 128-bit registers.

    每个操作都是并行地针对多个数据元素进行,这些数据分别存储在一些128位的寄存器中。

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  • For example, socket striping, or using two or more sockets to move data in parallel, is a solution based on this theme.

    例如,socketstriping,或者使用两个或多个socket并行地移动数据,就是一个基于这个主题的解决方案。

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  • Although the architecture is simple, Hadoop provides an easy way to distribute data, load balance, and parallel process large amounts of data in a fault-tolerant way.

    尽管架构很简单,但是Hadoop能够方便地实现数据分发、负载平衡以及以容错的方式并行处理大量数据。

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  • Being an important ramification of parallel processing, data parallel is widely used in scientific and technical computation.

    作为并行处理的重要分枝,数据并行被广泛地应用于科学和工程计算中。

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  • Data record unit complete data acquisition, which records analog quantity data, parallel and serial digital data, parallel and serial graphic data from the signal source to CF card.

    数据记录单元完成数据采集,把信号源发送的模拟量数据、并行和串行数字量数据、并行和串行图形数据记录到存储设备的CF卡上。

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  • Data record unit complete data acquisition, which records analog quantity data, parallel and serial digital data, parallel and serial graphic data from the signal source to CF card.

    数据记录单元完成数据采集,把信号源发送的模拟量数据、并行和串行数字量数据、并行和串行图形数据记录到存储设备的CF卡上。

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