| Literature DB >> 26701054 |
Chen Sun1,2, Mark T Wade3, Yunsup Lee1, Jason S Orcutt2, Luca Alloatti2, Michael S Georgas2, Andrew S Waterman1, Jeffrey M Shainline3, Rimas R Avizienis1, Sen Lin1, Benjamin R Moss2, Rajesh Kumar3, Fabio Pavanello3, Amir H Atabaki2, Henry M Cook1, Albert J Ou1, Jonathan C Leu2, Yu-Hsin Chen2, Krste Asanović1, Rajeev J Ram2, Miloš A Popović3, Vladimir M Stojanović1.
Abstract
Data transport across short electrical wires is limited by both bandwidth and power density, which creates a performance bottleneck for semiconductor microchips in modern computer systems--from mobile phones to large-scale data centres. These limitations can be overcome by using optical communications based on chip-scale electronic-photonic systems enabled by silicon-based nanophotonic devices. However, combining electronics and photonics on the same chip has proved challenging, owing to microchip manufacturing conflicts between electronics and photonics. Consequently, current electronic-photonic chips are limited to niche manufacturing processes and include only a few optical devices alongside simple circuits. Here we report an electronic-photonic system on a single chip integrating over 70 million transistors and 850 photonic components that work together to provide logic, memory, and interconnect functions. This system is a realization of a microprocessor that uses on-chip photonic devices to directly communicate with other chips using light. To integrate electronics and photonics at the scale of a microprocessor chip, we adopt a 'zero-change' approach to the integration of photonics. Instead of developing a custom process to enable the fabrication of photonics, which would complicate or eliminate the possibility of integration with state-of-the-art transistors at large scale and at high yield, we design optical devices using a standard microelectronics foundry process that is used for modern microprocessors. This demonstration could represent the beginning of an era of chip-scale electronic-photonic systems with the potential to transform computing system architectures, enabling more powerful computers, from network infrastructure to data centres and supercomputers.Entities:
Year: 2015 PMID: 26701054 DOI: 10.1038/nature16454
Source DB: PubMed Journal: Nature ISSN: 0028-0836 Impact factor: 49.962