Abstract | ||
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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 |
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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 Li | 1 | 16 | 0.69 |
Mark Browning | 2 | 25 | 1.22 |
Paul V. Gratz | 3 | 644 | 40.32 |
Samuel Palermo | 4 | 142 | 22.07 |