DocumentCode :
618559
Title :
PROBE: Prediction-based optical bandwidth scaling for energy-efficient NoCs
Author :
Li Zhou ; Kodi, Avinash Karanth
Author_Institution :
Sch. of Electr. Eng. & Comput. Sci., Ohio Univ., Athens, OH, USA
fYear :
2013
fDate :
21-24 April 2013
Firstpage :
1
Lastpage :
8
Abstract :
Optical interconnect is a disruptive technology solution that can overcome the power and bandwidth limitations of traditional electrical Networks-on-Chip (NoCs). However, the static power dissipated in the external laser may limit the performance of future optical NoCs by dominating the stringent network power budget. From the analysis of real benchmarks for multicores, it is observed that high static power is consumed due to the external laser even for low channel utilization. In this paper, we propose PROBE: Prediction-based Optical Bandwidth Scaling for Energy-efficient NoCs by exploiting the latency/bandwidth trade-off to reduce the static power consumption by increasing the average channel utilization. With a lightweight prediction technique, we scale the bandwidth adaptively to the changing traffic demands while maintaining reasonable performance. The performance on synthetic and real traffic (PARSEC, Splash2) for 64-cores indicate that our proposed bandwidth scaling technique can reduce optical power by about 60% with at most 11% throughput penalty.
Keywords :
energy conservation; integrated circuit interconnections; microprocessor chips; network-on-chip; optical interconnections; PARSEC; PROBE; Splash2; channel utilization; electrical networks-on-chip; energy efficiency; external laser; multicore; optical NoC; optical interconnect; prediction-based optical bandwidth scaling; static power consumption reduction; Bandwidth; Optical buffering; Optical ring resonators; Optical waveguides; Power lasers; Tiles; Waveguide lasers;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Networks on Chip (NoCS), 2013 Seventh IEEE/ACM International Symposium on
Conference_Location :
Tempe, AZ
Print_ISBN :
978-1-4673-6491-1
Electronic_ISBN :
978-1-4673-6492-8
Type :
conf
DOI :
10.1109/NoCS.2013.6558413
Filename :
6558413
Link To Document :
بازگشت