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A Taxonomy of Reconfigurable Single-/Multiprocessor Systems-on-Chip

机译:可重配置单/多处理器片上系统分类法

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摘要

Runtime adaptivity of hardware in processor architectures is a novel trend, which is under investigation in a variety of research labs all over the world. The runtime exchange of modules, implemented on a reconfigurable hardware, affects the instruction flow (e.g., in reconfigurable instruction set processors) or the data flow, which has a strong impact on the performance of an application. Furthermore, the choice of a certain processor architecture related to the class of target applications is a crucial point in application development. A simple example is the domain of high-performance computing applications found in meteorology or high-energy physics, where vector processors are the optimal choice. A classification scheme for computer systems was provided in 1966 by Flynn where single/multiple data and instruction streams were combined to four types of architectures. This classification is now used as a foundation for an extended classification scheme including runtime adaptivity as further degree of freedom for processor architecture design. The developed scheme is validated by a multiprocessor system implemented on reconfigurable hardware as well as by a classification of existing static and reconfigurable processor systems.
机译:处理器体系结构中硬件的运行时适应性是一种新的趋势,全世界许多研究实验室都在对此进行研究。在可重新配置的硬件上实现的模块的运行时交换会影响指令流(例如,在可重新配置的指令集处理器中)或数据流,这对应用程序的性能有很大影响。此外,选择与目标应用程序类别相关的特定处理器体系结构是应用程序开发中的关键点。一个简单的例子是在气象学或高能物理学中发现高性能计算应用程序的领域,其中矢量处理器是最佳选择。 1966年,Flynn提供了一种计算机系统的分类方案,其中将单/多个数据和指令流组合为四种类型的体系结构。现在,此分类用作扩展分类方案的基础,该扩展分类方案包括运行时适应性以及处理器体系结构设计的进一步自由度。通过在可重配置硬件上实现的多处理器系统以及现有静态和可重配置处理器系统的分类,可以验证所开发的方案。

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  • 来源
    《International journal of reconfigurable computing》 |2009年第2期|P.5.1-5.11|共11页
  • 作者单位

    FGAN-FOM, Research Institute for Optronics and Pattern Recognition, 76275 Ettlingen, Germany;

    rnFGAN-FOM, Research Institute for Optronics and Pattern Recognition, 76275 Ettlingen, Germany;

    rnFakultaet fuer Elektrotechnik und Informationstechnik, Universitaet Karlsruhe, Institut fuer Technik der Informationsverarbeitung(ITIV), 76131 Karlsruhe, Germany;

    rnFakultaet fuer Elektrotechnik und Informationstechnik, Universitaet Karlsruhe, Institut fuer Technik der Informationsverarbeitung(ITIV), 76131 Karlsruhe, Germany;

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  • 入库时间 2022-08-18 00:37:21

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