WAVES: Wavelength Selection for Power-Efficient 2.5D-Integrated Photonic NoCs
Aditya Narayan1,a, Yvain Thonnart2,c, Pascal Vivet2,d, César Fuguet Tortolero2,e and Ayse K. Coskun1,b
1Boston University, Boston, USA
aadityan@bu.edu
bacoskun@bu.edu
2Université Grenoble Alpes, CEA-Leti, Grenoble, France
cyvain.thonnart@cea.fr
dpascal.vivet@cea.fr
ecesar.tortolero@cea.fr
ABSTRACT
Photonic Network-on-Chips (PNoCs) offer promising benefits over Electrical Network-on-Chips (ENoCs) in manycore systems owing to their lower latencies, higher bandwidth, and lower energy-per-bit communication with negligible datadependent power. These benefits, however, are limited by a number of challenges. Microring resonators (MRRs) that are used for photonic communication have high sensitivity to process variations and on-chip thermal variations, giving rise to possible resonant wavelength mismatches. State-of-the-art microheaters, which are used to tune the resonant wavelength of MRRs, have poor efficiency resulting in high thermal tuning power. In addition, laser power and high static power consumption of drivers, serializers, comparators, and arbitration logic partially negate the benefits of the sub-pJ operating regime that can be obtained with PNoCs. To reduce PNoC power consumption, this paper introduces WAVES, a wavelength selection technique to identify and activate the minimum number of laser wavelengths needed, depending on an application's bandwidth requirement. Our results on a simulated 2.5D manycore system with PNoC demonstrate an average of 23% (resp. 38%) reduction in PNoC power with only <1% (resp. <5%) loss in system performance.
