DocumentCode :
737711
Title :
Runtime Management of Laser Power in Silicon-Photonic Multibus NoC Architecture
Author :
Chao Chen ; Joshi, Akanksha
Author_Institution :
Dept. of Electr. & Comput. Eng., Boston Univ., Boston, MA, USA
Volume :
19
Issue :
2
fYear :
2013
Firstpage :
3700713
Lastpage :
3700713
Abstract :
Silicon-photonic links have been proposed to replace electrical links for global on-chip communication in future many-core processors. Silicon-photonic links have the advantage of lower data-dependent power and higher bandwidth density, but the high laser power can more than offset these advantages. We propose a solution to manage laser power of silicon-photonic network-on-chip (NoC) in many-core system. We present a silicon-photonic multibus NoC architecture between private L1 caches and distributed L2 cache banks which uses weighted time-division multiplexing to distribute the laser power across multiple buses based on the runtime variations in the bandwidth requirements within and across applications to maximize energy efficiency. The multibus NoC architecture also harnesses the opportunities to switch OFF laser sources at runtime, during low-bandwidth requirements, to reduce laser power consumption. Using detailed system-level simulations, we evaluate the multibus NoC architecture and runtime laser power management technique on a 64-core system running NAS parallel benchmark suite. The silicon-photonic multibus NoC architecture provides more than two times better performance than silicon-photonic Clos and butterfly NoC architectures, while consuming the same laser power. Using runtime laser power management technique, the average laser power is reduced by more than 49% with minimal impact on the system performance.
Keywords :
cache storage; laser beam applications; multiprocessing systems; network-on-chip; time division multiplexing; 64-core system; NAS parallel benchmark suite; bandwidth requirements; distributed L2 cache banks; electrical links; energy efficiency maximization; global on-chip communication; higher bandwidth density; laser power consumption reduction; lower data-dependent power; many-core processors; many-core system; network-on-chip; private L1 caches; runtime laser power management technique; silicon-photonic links; silicon-photonic multibus NoC architecture; system-level simulations; weighted time-division multiplexing; Bandwidth; Laser applications; Multiplexing; Photonics; Power lasers; Program processors; Laser power management; many-core; network-on-chip (NoC); silicon-photonics;
fLanguage :
English
Journal_Title :
Selected Topics in Quantum Electronics, IEEE Journal of
Publisher :
ieee
ISSN :
1077-260X
Type :
jour
DOI :
10.1109/JSTQE.2012.2228170
Filename :
6409379
Link To Document :
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