Systems-on-chip: what are the limits?

E. Roza
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引用次数: 19

Abstract

A quantitative comparison is made between the computational requirements of typical systems-on-chip and the computational capabilities of silicon. This is illustrated by the evolution of TV and other video appliances on the one hand and the progress of silicon technology on the other. As a basic benchmark figure the concept of the intrinsic computational efficiency (ICE) of silicon is introduced, and this is compared with the computational efficiency of commercial microprocessors and digital signal processors. It is shown that processors designed by application-specific architectural synthesis can approximate the ICE limit and that they exceed the computational efficiency of general-purpose devices by several orders of magnitude. To close the gap between flexibility and efficiency, the silicon system platform concept is introduced. Finally, it is shown how Moore's law of exponential growth together with Claasen's law of logarithmic usefulness make the perceived progression in systems a linear function of time.
片上系统:限制是什么?
对典型片上系统的计算需求与硅的计算能力进行了定量比较。一方面是电视和其他视频设备的发展,另一方面是硅技术的进步,说明了这一点。作为一个基本基准,引入了硅的固有计算效率(ICE)的概念,并将其与商用微处理器和数字信号处理器的计算效率进行了比较。结果表明,通过特定应用的体系结构综合设计的处理器可以接近ICE极限,并且它们的计算效率超过了通用设备的几个数量级。为了缩小灵活性和效率之间的差距,引入了硅系统平台的概念。最后,它显示了摩尔的指数增长定律与克拉森的对数有用性定律如何使系统的感知进程成为时间的线性函数。
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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