Optically connected memory for disaggregated data centers

被引：6

作者：

Gonzalez, Jorge ^{[1
,2
]}

Palma, Mauricio G. ^{[3
]}

Hattink, Maarten ^{[7
]}

Rubio-Noriega, Ruth ^{[4
]}

Orosa, Lois ^{[5
]}

Mutlu, Onur ^{[6
]}

Bergman, Keren ^{[8
]}

Azevedo, Rodolfo ^{[2
]}

机构：

[1] Univ Engn & Technol, Dept Comp Sci, Lima, Peru

[2] Univ Estadual Campinas, Sao Paulo, Brazil

[3] Univ Estadual Campinas, Comp Syst Lab, Sao Paulo, Brazil

[4] INICTEL UNI, Lima, Peru

[5] Swiss Fed Inst Technol, SAFARI Res Grp, Zurich, Switzerland

[6] Swiss Fed Inst Technol, Comp Sci, Zurich, Switzerland

[7] Columbia Univ, New York, NY 10027 USA

[8] Columbia Univ, Elect Engn, New York, NY USA

来源：

JOURNAL OF PARALLEL AND DISTRIBUTED COMPUTING | 2022年 / 163卷

基金：

巴西圣保罗研究基金会;

关键词：

Disaggregated memory; Photonics; Data-centers; DRAM; Memory systems; SILICON; OPTIMIZATION;

D O I：

10.1016/j.jpdc.2022.01.013

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

Recent advances in integrated photonics enable the implementation of reconfigurable, high-bandwidth, and low energy-per-bit interconnects in next-generation data centers. We propose and evaluate an Optically Connected Memory (OCM) architecture that disaggregates the main memory from the computation nodes in data centers. OCM is based on micro-ring resonators (MRRs), and it does not require any modification to the DRAM memory modules. We calculate energy consumption from real photonic devices and integrate them into a system simulator to evaluate performance. Our results show that (1) OCM is capable of interconnecting four DDR4 memory channels to a computing node using two fibers with 1.02 pJ energy-per-bit consumption and (2) OCM performs up to 5.5 x faster than a disaggregated memory with 40G PCIe NIC connectors to computing nodes. (c) 2022 Elsevier Inc. All rights reserved.

引用

页码：300 / 312

页数：13

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