Title :
LumiNOC: A low-latency, high-bandwidth per Watt, photonic Network-on-Chip
Author :
Browning, Mark ; Cheng Li ; Gratz, Paul V. ; Palermo, Samuel
Author_Institution :
Dept. of Electr. & Comput. Eng., Texas A&M Univ., College Station, TX, USA
Abstract :
To meet energy-efficient performance demands, the computing industry has moved to parallel computer architectures, such as chip-multi-processors (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 nanophotonic NoC architecture, LumiNOC, optimized for high performance and power-efficiency. This paper makes three primary contributions: a novel, nanophotonic architecture which partitions the network in to 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 photonic NoCs. LumiNOC reduces latencies ~40% versus an electrical 2D mesh NoCs on the PARSEC shared-memory, multithreaded benchmark suite.
Keywords :
elemental semiconductors; multi-threading; nanophotonics; network-on-chip; parallel architectures; shared memory systems; silicon; CMP; LumiNOC; PARSEC shared-memory; Si; channel sharing arrangement; chip-multiprocessors; computing industry; core counts; data transmission; distributed arbitration scheme; electrical 2D mesh NoC; electronic on-chip interconnect; energy-efficient interconnects; laser tuning; multithreaded benchmark suite; nanophotonic architecture; parallel computer architectures; photonic network-on-chip; power-efficiency; ring thermal tuning; scaling performance; synthetic traffic; Optical losses; Optical waveguides; Photonics; Power lasers; Throughput; Tiles; Waveguide lasers; CMP; NoC; Power Efficiency; Synthetic/Realistic Workload;
Conference_Titel :
System Level Interconnect Prediction (SLIP), 2013 ACM/IEEE International Workshop on
Conference_Location :
Austin, TX
DOI :
10.1109/SLIP.2013.6681679