Title
LumiNOC: A Power-Efficient, High-Performance, Photonic Network-on-Chip
Abstract
To meet energy-efficient performance demands, the computing industry has moved to parallel computer architectures, such as chip multiprocessors (CMPs), internally interconnected via networks-on-chip (NoC) to meet growing communication needs. Achieving scaling performance as core counts increase to the hundreds in future CMPs, however, will require high performance, yet energy-efficient interconnects. Silicon nanophotonics is a promising replacement for electronic on-chip interconnect due to its high bandwidth and low latency, however, prior techniques have required high static power for the laser and ring thermal tuning. We propose a novel nano-photonic NoC (PNoC) architecture, LumiNOC, optimized for high performance and power-efficiency. This paper makes three primary contributions: a novel, nanophotonic architecture which partitions the network into subnets for better efficiency; a purely photonic, in-band, distributed arbitration scheme; and a channel sharing arrangement utilizing the same waveguides and wavelengths for arbitration as data transmission. In a 64-node NoC under synthetic traffic, LumiNOC enjoys 50% lower latency at low loads and ~40% higher throughput per Watt on synthetic traffic, versus other reported PNoCs. LumiNOC reduces latencies ~40% versus an electrical 2-D mesh NoCs on the PARSEC shared-memory, multithreaded benchmark suite.
Year
DOI
Venue
2014
10.1109/TCAD.2014.2320510
IEEE Trans. on CAD of Integrated Circuits and Systems
Keywords
DocType
Volume
PARSEC shared-memory,electrical 2-D mesh NoC,LumiNOC,power-efficient photonic network-on-chip,synthetic traffic,multiprocessor interconnection networks,multithreaded benchmark suite,nanophotonic architecture,waveguides,Low-power electronics,nanophotonics,data transmission,high-performance photonic network-on-chip,network-on-chip,optical interconnects,ring resonator
Journal
33
Issue
ISSN
Citations 
6
0278-0070
16
PageRank 
References 
Authors
0.69
22
4
Name
Order
Citations
PageRank
Cheng Li1160.69
Mark Browning2251.22
Paul V. Gratz364440.32
Samuel Palermo414222.07