10.1 Special Day on "Silicon Photonics": High-Speed Silicon Photonics Interconnects for Data Center and HPC

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Date: Thursday 12 March 2020
Time: 11:00 - 12:30
Location / Room: Amphithéâtre Jean Prouve

Chair:
Ian O’Connor, Ecole Centrale de Lyon, FR

Co-Chair:
Luca Ramini, Hewlett Packard Labs, US

TimeLabelPresentation Title
Authors
11:0010.1.1THE NEED AND CHALLENGES OF CO-PACKAGING AND OPTICAL INTEGRATION IN DATA CENTERS
Author:
Liron Gantz, Mellanox, US
Abstract
Silicon photonic (SiPh) technology was the "talk of the town" for almost two decades, yet only in the last couple of years, actual SiPh based transceivers were introduced for short-reach links. As the global IP traffic skyrockets, and will surpass 1 ZB per year by 2020, it seems that this is the optimal point for new disruptive technology to emerge. SiPh technology has the potential to reduce power consumption while meeting the demand for increasing rates, and potentially even reduce the cost. Yet in order to fully integrate SiPh components in mainly CMOS ICs, the entire industry must align, beginning with industrial FABs and OSATs, and ending with system manufacturers and Data Center clients. Indeed, in the last year positive developments have occurred as the Hyper-scalers are starting to show interest in driving the market into integrating optics and forgo pluggable transceivers. Yet many challenges have to be met, and some hard decisions have to be taken in order to fully integrate optics in a scalable manner. In this talk I will review these challenges and possible ways to meet them in order to enable optical integrated products in Data Centers and High-Performance Computers.
11:3010.1.2POWER AND COST ESTIMATE OF SCALABLE ALL-TO-ALL TOPOLOGIES WITH SILICON PHOTONICS LINKS
Author:
Luca Ramini, Hewlett Packard Labs, US
Abstract
For many applications that require a tight latency profile, such as machine learning, a network topology that does not leverage arbitration-based switching is desired. All-to-all (A2A) interconnection networks enable any node in the network to communicate to any other node at any given time. Many abstractions can be made to enable this capability such as buffering, time-domain multiplexing, etc. However, typical A2A topologies are limited to about 32 nodes within one hop. This is primarily due to limitations in reach, power consumption and bandwidth per interconnect. In this presentation, a topology of 256 nodes and beyond is considered by leveraging the many- wavelengths-per-fiber advantage of DWDM silicon photonics technology. Power and cost estimate of scalable A2A topologies using silicon photonics links are provided in order to understand the practical limits, if any, of a single node communicating with many other nodes via one wavelength per node.
12:0010.1.3THE NEXT FRONTIER IN SILICON PHOTONIC DESIGN: EXPERIMENTALLY VALIDATED STATISTICAL MODELS
Authors:
Geoff Duggan1, James Pond1, Xu Wang1, Ellen Schelew1, Federico Gomez1, Milad Mahpeykar1, Ray Chung1, Zequin Lu1, Parya Samadian1, Jens Niegemann1, Adam Reid1, Roberto Armenta1, Dylan McGuire1, Peng Sun2, Jared Hulme2, Mudit Jan2 and Ashkan Seyedi2
1Lumerical, US; 2Hewlett Packard Labs, US
Abstract
Silicon photonics has made tremendous progress in recent years and is now a critical technology embedded in many commercial products, particularly for data communications, while new products in sensing, AI and even quantum information technologies are in development. High quality processes from multiple foundries, supported by sophisticated electronic-photonic design automation (EPDA) workflows have made these advancements possible. Although several initiatives have begun to address the issue of manufacturing variability in photonics, these approaches have not been integrated meaningfully into EPDA workflows which lag well behind electronic integrated circuit workflows. Contributing to this deficiency has been a lack of data to calibrate statistical photonic compact models used in photonic circuit and system simulation. We present our current work in developing tools to calibrate statistical photonic compact models and compare our results against experimental data.
12:30End of session