A data flow evaluation system based on the concept of recursive locality*

A. Davis
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引用次数: 29

Abstract

In an attempt to increase the performance of computing machines, there appears to be two main approaches—(1) to use faster components in existing architectures and (2) to design new architectures which are capable of exploiting some form of concurrency. The first approach is inherently limited in that the effects of reduced integrated circuit geometry, new process technology, and new logic families can be expected to increase overall system performance by only a couple of orders of magnitude. While this is initially impressive, it does not allow the desired machine performance projected to be necessary to solve large physics problems, or needed for accurate weather prediction. 16 The second approach, while being a considerably more difficult organizational problem, is inherently unlimited in nature. There are numerous levels at which concurrency can be exploited in digital computers, i.e. multiple data paths, more concurrent realization of low-level circuit functions, overlap and pipeline processing within a single processing element, multiple processors, etc. In developing any new "fast as possible" machine, it is important to attempt to implement all of the above suggestions. However the work reported here will mainly be concerned with solving the problem of how to utilize and organize systems containing large numbers of independent processors.
基于递归局部性概念的数据流评价系统
为了提高计算机器的性能,似乎有两种主要方法:(1)在现有体系结构中使用更快的组件;(2)设计能够利用某种形式的并发的新体系结构。第一种方法本质上是有限的,因为减少集成电路几何形状、新工艺技术和新逻辑家族的影响只能将整体系统性能提高几个数量级。虽然这最初令人印象深刻,但它不允许预期的机器性能被预测为解决大型物理问题所必需的,或者需要准确的天气预报。第二种方法虽然是一个困难得多的组织问题,但本质上是无限的。在数字计算机中,并发可以在许多层次上被利用,即多个数据路径,低级电路功能的更多并发实现,单个处理元素内的重叠和流水线处理,多个处理器等。在开发任何新的“尽可能快”的机器时,尝试实现上述所有建议是很重要的。然而,这里报告的工作将主要关注解决如何利用和组织包含大量独立处理器的系统的问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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