Massively Parallel Processing with Optical Interconnections: What Can Be, Should Be and Must Not Be Done By Optics

E. Schenfeld
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引用次数: 3

Abstract

What is wrong about Optical Computing is the implied search for “general purpose computing”. We think that such an attempt has little chance to result in a practical system for, at least, the next ten years. The main reason is the economical justification. What such an “optical computing” system may offer has to be compared with the value of the application and the alternatives (electronics). On the other hand, communication in general is an area where optics has proved to be a real blessing. Long distance communication is most economically done today using optical fibers. We think that another realistic search for good optical applications should now be done for shorter distances. A possible good direction may be the communication needs of Massively Parallel Processing (MPP) systems. In such a system, large number (10’s of thousands) of Processing Elements (PEs) are to be interconnected. A PE can be seen as made of a high-end single chip CPU available today, with memory and communication circuits. We do not view the other possible meaning of MPP, namely processing and interconnections at the single gate or device level, as practical to consider. This paper describes the views of the author from the computer architecture’s standpoint, with the hope to serve as a pointer to the “Optical Computing” community. Although much has been done in the area of optical communication technology for the past 10-20 years, and many optical network experimental systems have been proposed, it seems that optics has not yet found its expected place as the interconnection technology of choice for MPP systems. In this paper we try to suggest some possible reasons preventing the common use of optical interconnections in MPP systems, in a hope to focus attention on what really needs to be done to advance the field. We would suggest focusing on searching for a processing-less solution rather than trying to mimic the existing thinking of electronic networks. We outline several key principles essential to follow to reach realistic and economical solutions of optical interconnections for MPP systems. An example of using such principles for an MPP, free-space network is presented in [1].
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光学互连的大规模并行处理:光学可以做什么,应该做什么,不应该做什么
光计算的错误之处在于对“通用计算”的隐含搜索。我们认为,这种尝试至少在今后十年内不大可能产生一个实际的制度。主要原因是经济上的理由。这种“光学计算”系统所能提供的东西必须与应用程序和替代品(电子学)的价值进行比较。另一方面,一般来说,通信是一个光学被证明是真正的福音的领域。如今,使用光纤进行长距离通信是最经济的。我们认为,现在应该对较短距离的光学应用进行另一项现实的研究。大规模并行处理(MPP)系统的通信需求可能是一个很好的方向。在这样的系统中,大量(成千上万)的处理元件(pe)需要相互连接。PE可以看作是由当今可用的高端单芯片CPU组成的,具有存储器和通信电路。我们不认为MPP的其他可能含义,即单门或设备级的处理和互连,是实际需要考虑的。本文从计算机体系结构的角度阐述了作者的观点,希望对“光计算”界起到一定的指导作用。尽管在过去的10-20年里,在光通信技术领域已经做了很多工作,并且已经提出了许多光网络实验系统,但似乎光学还没有找到它作为MPP系统互连技术选择的预期位置。在本文中,我们试图提出一些可能的原因,阻止在MPP系统中普遍使用光互连,希望将注意力集中在真正需要做的事情上,以推动该领域的发展。我们建议将重点放在寻找一种不需要处理的解决方案上,而不是试图模仿现有的电子网络思维。我们概述了几个关键原则,必须遵循以达到现实和经济的解决方案的光互连的MPP系统。b[1]给出了在MPP自由空间网络中使用这些原理的一个示例。
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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