首页> 外文会议>Parallel and Distributed Computing, Applications and Technologies, 2009 >Keynote 1: The Role of Functional Memories in Parallel Information Processing with Localized and Distributed Systems
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Keynote 1: The Role of Functional Memories in Parallel Information Processing with Localized and Distributed Systems

机译:主题演讲1:功能内存在本地化和分布式系统并行信息处理中的作用

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The analysis of parallel information-processing systems, independent of their realization in localized or distributed form, reveals that the necessary data exchange between data-storage and data-processing parts of the system represents a major limiting factor for the system performance. Therefore, in addition to the number-crunching power of the processing parts, innovations which substantially improve the bandwidth of the data exchange are essential for advances in the overall system capabilities. To be practically useful, such innovations must in particular carefully balance the bandwidth of the exchanged data amount against the required power dissipation for this purpose. We review the main methods for achieving the data exchange improvements, namely (a) an increased memory-access bandwidth by multi-porting of the memory and (b) a unification of memory and processing parts of the information-processing system. We further present the advances in VLSI architectures for realizing the higher data-exchange bandwidth by applying advanced nano-technologies and discuss practical implementation examples for parallel processors as well as for pattern-matching and pattern-recognition systems.
机译:对并行信息处理系统的分析与它们在本地或分布式形式中的实现无关,表明系统的数据存储和数据处理部分之间的必要数据交换代表了系统性能的主要限制因素。因此,除了处理部分的数字处理能力外,实质上提高数据交换带宽的创新对于提高整体系统功能也是必不可少的。为了在实践中有用,这样的创新必须特别小心地在交换的数据量的带宽与为此目的所需的功耗之间取得平衡。我们回顾了实现数据交换改进的主要方法,即(a)通过内存的多端口增加内存访问带宽,以及(b)内存和信息处理系统的处理部分的统一。我们进一步介绍了通过应用先进的纳米技术实现更高的数据交换带宽的VLSI体系结构方面的进展,并讨论了并行处理器以及模式匹配和模式识别系统的实际实现示例。

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