通过3d堆叠将存储器和控制器与光子学相结合,以实现可扩展和节能的系统

Aniruddha N. Udipi, Naveen Muralimanohar, R. Balasubramonian, A. Davis, N. Jouppi
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引用次数: 70

摘要

众所周知,内存延迟、能量、容量、带宽和可伸缩性将成为未来大规模系统的关键瓶颈。本文着重讨论了计算核心与存储器之间的接口,包括物理互连和存储器访问协议。对于物理互连,我们研究了谨慎使用新兴的硅光子技术来降低能耗和提高容量缩放。我们得出结论,光子学主要通过打破引脚屏障来提高插座边缘带宽,并用于大量使用的链路。对于访问协议,我们提出了一种新的基于数据包的接口,它放弃了当前系统中内存控制器的大部分严格控制,并允许内存模块更加自治,提高灵活性和互操作性。这里的关键促成因素是3d堆叠接口芯片的引入,它可以在不修改商用内存芯片的情况下实现这两种优化。接口芯片处理光学和电子之间的所有转换,以及所有低级存储设备控制功能。在接口芯片之外的通信完全是电的,在芯片和芯片上的低摆线之间有tsv。我们表明,这种方法可以大大降低能耗、减少延迟、更好地扩展到大容量,并更好地支持异构性和互操作性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Combining memory and a controller with photonics through 3D-stacking to enable scalable and energy-efficient systems
It is well-known that memory latency, energy, capacity, band-width, and scalability will be critical bottlenecks in future large-scale systems. This paper addresses these problems, focusing on the interface between the compute cores and memory, comprising the physical interconnect and the memory access protocol. For the physical interconnect, we study the prudent use of emerging silicon-photonic technology to reduce energy consumption and improve capacity scaling. We conclude that photonics are effective primarily to improve socket-edge bandwidth by breaking the pin barrier, and for use on heavily utilized links. For the access protocol, we propose a novel packet based interface that relinquishes most of the tight control that the memory controller holds in current systems and allows the memory modules to be more autonomous, improving flexibility and interoperability. The key enabler here is the introduction of a 3D-stacked interface die that allows both these optimizations without modifying commodity memory dies. The interface die handles all conversion between optics and electronics, as well as all low-level memory device control functionality. Communication beyond the interface die is fully electrical, with TSVs between dies and low-swing wires on-die. We show that such an approach results in substantially lowered energy consumption, reduced latency, better scalability to large capacities, and better support for heterogeneity and interoperability.
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