Open AccessOptical interconnection network for parallel access to multi-rank memory in future computing systems
Author(s) -
Kang Wang,
Huaxi Gu,
Yintang Yang,
Kun Wang
Publication year - 2015
Publication title -
optics express
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.394
H-Index - 271
ISSN - 1094-4087
DOI - 10.1364/oe.23.020480
Subject(s) - computer science , interconnection , remote direct memory access , bandwidth (computing) , parsec , benchmark (surveying) , interleaved memory , computer network , parallel computing , distributed computing , semiconductor memory , computer hardware , memory management , stars , geodesy , computer vision , geography
With the number of cores increasing, there is an emerging need for a high-bandwidth low-latency interconnection network, serving core-to-memory communication. In this paper, aiming at the goal of simultaneous access to multi-rank memory, we propose an optical interconnection network for core-to-memory communication. In the proposed network, the wavelength usage is delicately arranged so that cores can communicate with different ranks at the same time and broadcast for flow control can be achieved. A distributed memory controller architecture that works in a pipeline mode is also designed for efficient optical communication and transaction address processes. The scaling method and wavelength assignment for the proposed network are investigated. Compared with traditional electronic bus-based core-to-memory communication, the simulation results based on the PARSEC benchmark show that the bandwidth enhancement and latency reduction are apparent.