@inproceedings{b879282b52dd4915a6824138ea98ad86,
title = "Optically connected memory for disaggregated data centers",
abstract = "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 1.07 pJ energy-per-bit consumption and (2) OCM performs up to 5.5x faster than a disaggregated memory with 40G PCIe NIC connectors to computing nodes.",
keywords = "DRAM, Data-centers, Disaggregated computing, Disaggregated memory, Memory systems, Photonics",
author = "Jorge Gonzalez and Alexander Gazman and Maarten Hattink and Palma, {Mauricio G.} and Meisam Bahadori and Ruth Rubio-Noriega and Lois Orosa and Madeleine Glick and Onur Mutlu and Keren Bergman and Rodolfo Azevedo",
note = "Publisher Copyright: {\textcopyright} 2020 IEEE.; 32nd IEEE International Symposium on Computer Architecture and High Performance Computing, SBAC-PAD 2020 ; Conference date: 08-09-2020 Through 11-09-2020",
year = "2020",
month = sep,
doi = "10.1109/SBAC-PAD49847.2020.00017",
language = "English",
series = "Proceedings - Symposium on Computer Architecture and High Performance Computing",
publisher = "IEEE Computer Society",
pages = "43--50",
booktitle = "Proceedings - 2020 IEEE 32nd International Symposium on Computer Architecture and High Performance Computing, SBAC-PAD 2020",
}