Challenges in building a flat-bandwidth memory hierarchy for a large-scale computer with proximity communication

R. Drost, C. Forrest, B. Guenin, R. Ho, A. Krishnamoorthy, D. Cohen, J. Cunningham, B. Tourancheau, A. Zingher, A. Chow, G. Lauterbach, I. Sutherland
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引用次数: 31

Abstract

Memory systems for conventional large-scale computers provide only limited bytes/s of data bandwidth when compared to their flop/s of instruction execution rate. The resulting bottleneck limits the bytes/flop that a processor may access from the full memory footprint of a machine and can hinder overall performance. This paper discusses physical and functional views of memory hierarchies and examines existing ratios of bandwidth to execution rate versus memory capacity (or bytes/flop versus capacity) found in a number of large-scale computers. The paper then explores a set of technologies, proximity communication, low-power on-chip networks, dense optical communication, and sea-of-any thing interconnect, that can flatten this bandwidth hierarchy to relieve the memory bottleneck in a large-scale computer that we call "Hero".
为具有近距离通信的大型计算机构建平面带宽存储器层次结构的挑战
与指令执行速率相比,传统大型计算机的内存系统只提供有限的字节/秒数据带宽。由此产生的瓶颈限制了处理器可以从机器的全部内存占用中访问的字节/flop,并可能影响整体性能。本文讨论了内存层次结构的物理和功能视图,并检查了在许多大型计算机中发现的带宽与执行率与内存容量(或字节/flop与容量)的现有比率。然后,本文探讨了一套技术,近距离通信,低功耗片上网络,密集光通信和海洋-任何东西互连,可以使这种带宽层次扁平化,以缓解我们称之为“英雄”的大型计算机的内存瓶颈。
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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