Photonics-Optics Technology Oriented Networking, Information and Computing Systems

Rejuvenate Post-Moore's Law Information Systems with Photonics

Advance Program

08:55 Welcome Remark
Jiang Xu, Hong Kong University of Science and Technology

09:00 KEYNOTE Silicon Photonics: Technology Advancement and Applications
Dr. Jin Hong, VP of Data Center Group, GM of Silicon Photonics R&D, Intel

Jin Hong is vice president in the Data Center Group (DCG) and general manager of Silicon Photonics research and development at Intel Corporation. He is responsible for driving new products in optical communications for Data Centers, Data Center Interconnects, 5G wireless, and sensors for autonomous driving. He also leads the effort to develop other applications by leveraging Silicon Photonics technology as an enabling platform. Hong has extensive technical and executive-level experiences in the field of fiber-optic communications. Prior to joining Intel in January 2019, Hong was vice president of global research and development at NeoPhotonics Corporation, where he focused on the development of high speed coherent optical solutions. Since 2004, he served as vice president of various corporate functions in public and successful start-up companies in Silicon Valley, California, including Oplink, Stratalight, Opnext, Oclaro and Emcore, covering technology, marketing, product management, business development, research and development, in the area of optical components, modules, and systems. Earlier in his career, Hong carried out research and development for Bell-Northern Research (BNR), Nortel Networks, ONI Systems, and Ciena Corporation. He has over 70 publications and six U.S. patents. Hong holds a bachelor’s and master’s degree in electrical engineering, both from the University of Science and Technology of China (USTC), Hefei, China, and a Ph.D. in electrical and computer engineering from the University of Waterloo, Ontario, Canada.


10:00 Coffee Break


Morning Session: Shrinking Photonic Interconnection Networks from Kilometers to Millimeters
Chair by Jiang Xu, Hong Kong University of Science and Technology

10:30 HPC Interconnects at the End of Moore’s Law
John Shalf, Lawrence Berkeley National Laboratory

John Shalf is Department Head for Computer Science at Lawrence Berkeley National Laboratory, and until recently was deputy director of Hardware Technology for the DOE Exascale Computing Project. Shalf is a coauthor of over 80 publications in the field of parallel computing software and HPC technology, including three best papers and the widely cited report “The Landscape of Parallel Computing Research: A View from Berkeley” (with David Patterson and others) and coauthored the 2008 “ExaScale Software Study: Software Challenges in Extreme Scale Systems.” Prior to coming to Berkeley Laboratory, John worked at the National Center for Supercomputing Applications and the Max Planck Institute for Gravitation Physics/Albert Einstein Institute (AEI).


10:50 Past, Current and Future Technologies for Optical Submarine Cables
Yuichi Nakamura, NEC Corporation

Yuichi Nakamura received his B.E. degree in information engineering and M.E. degree in electrical engineering from the Tokyo Institute of Technology in 1986 and 1988, respectively. He received his PhD. from the Graduate School of Information, Production and Systems, Waseda University, in 2007. He joined NEC Corp. in 1988 and he is currently a vice president of R&D, NEC Corp. He is also a guest professor of National Institute of Informatics. He has more than 25 years of professional experience in electronic design automation, HPC systems and network systems.


11:10 Simulation-Driven Design of Photonic Quantum Communication Networks
Martin Suchara, Argonne National Laboratory

Martin Suchara is a Computational Scientist at Argonne National Laboratory and the University of Chicago with expertise in quantum computing and quantum communication. His group focuses on research of photonic quantum networks, simulations, quantum error correction, and distributed quantum computing. Prior to joining Argonne Dr. Suchara worked as a Principal Scientist at AT&T Labs and received postdoctoral training in quantum computing from UC Berkeley and the IBM T. J. Watson Research Center. Dr. Suchara received his PhD from the Computer Science department at Princeton University.


11:30 Overview of Silicon Photonics Components for Commercial DWDM Applications
Ashkan Seyedi, Hewlett Packard Enterprise

Ashkan received a dual Bachelor's in Electrical and Computer Engineering from the University of Missouri-Columbia and a Ph.D. from University of Southern California working on photonic crystal devices, high-speed nanowire photodetectors, efficient white LEDs and solar cells. While at Hewlett Packard Enterprise as a research scientist, he has been working on developing high-bandwidth, efficient optical interconnects for exascale and high performance computing applications.


11:50 An Approximate Thermal-Aware Q-Routing for Optical NoCs
Yaoyao Ye, Shanghai Jiao Tong University

Yaoyao Ye received the Ph.D. degree from the Hong Kong University of Science and Technology, Hong Kong, in 2013. She received the B.S. degree from University of Science and Technology of China, in 2008. She joined the Department of Micro/Nano Electronics of Shanghai Jiao Tong University in 2015, as an assistant professor. She served on technical program committees of ASP-DAC 2020, ASP-DAC 2019, ASP-DAC 2017, ASP-DAC 2016, PHOTONICS 2019, and GLSVLSI 2017. She has authored or coauthored more than 40 papers in peer-reviewed journals and international conferences. Her research interests include system-on-chip, network-on-chip, embedded system, etc.


12:10 On the Feasibility of Optical Circuit Switching for Distributed Deep Learning
Truong Thao Nguyen, National Institute of Advanced Industrial Science and Technology, Japan

Truong Thao Nguyen received the BE and ME degrees from Hanoi University of Science and Technology, Hanoi, Vietnam, in 2011 and 2014, respectively. He received the Ph.D. in Informatics from the Graduate University for Advanced Studies, Japan in 2018. He is currently working at AIST-Tokyo Tech Real World Big-Data Computation Open Innovation Laboratory (RWBC-OIL), National Institute of Advanced Industrial Science and Technology (AIST). He is actively working on several projects including High-Performance Computing system as well as high-performance large-scale AI.


12:30 Lunch (not provided)


Afternoon Session: Photonic Switching and Computing are Coming
Chair by Yi-Shing Chang, Intel Corporation

14:00 High-Radix Sub-Microsecond Photonic Switch on a Chip 
Ming C. Wu, University of California, Berkeley

Ming C. Wu is Nortel Distinguished Professor of Electrical Engineering and Computer Sciences and Co-Director of Berkeley Sensor and Actuator Center (BSAC) at the Universiyt of California, Berkeley. Dr. Wu received his B.S. degree in Electrical Engineering from National Taiwan University in 1983, and M.S. and Ph.D. degrees in Electrical Engineering and Computer Sciences from the University of California, Berkeley in 1986 and 1988, respectively. From 1988 to 1992, he was Member of Technical Staff at AT&T Bell Laboratories, Murray Hill, New Jersey. From 1992 to 2004, he was Professor of Electrical Engineering at the University of California, Los Angeles (UCLA). He has been a faculty member at Berkeley since 2004. His research interests include silicon photonics, optoelectronics, MEMS, MOEMS, and optofluidics. He has published 8 book chapters, over 600 papers in journals and conferences, holds 30 U.S. patents. His research has been successfully commercialized by OMM (MEMS optical switches, 1997) and Berkeley Lights (optofluidics and optoelectronic tweezers, 2011). Prof. Wu is Fellow of IEEE and Optical Society (OSA), and a Packard Foundation Fellow (1992 – 1997). He was a member of the IEEE Photonics Society Board of Governors from 2013 to 2016. His work has been recognized by the 2016 IEEE Photonics Socieity William Streifer Scientific Achievement Award, the 2007 Paul F. Forman Engineering Excellence Award and the 2017 C.E.K. Mees Medal from the Optical Society (OSA).


14:20 Sub-Microsecond Optical Circuit Switched Networks for Data Centers and HPCs
Georgios Zervas, University College London

Dr. Georgios Zervas is an Associate Professor of optical networked systems at University College London. He has published over 230 peer-reviewed papers and has an h-index of 31. He is a associate editor of IEEE Networking Letters and has been TPC member and chair of 11 leading conferences such as OFC and organised numerous workshops. He has been received the Elsevier’s Fabio Neri best paper awards on optical networks in 2011,2015,2018. Over the last 15 years he has been involved in over twenty UK, EU, EU-Japan and industrial funded projects worth over £9M. He is currently leading a team of 8 PhD students and researchers in the field of optical network technologies for high performance Data Centers and HPCs.


14:40 Low-Cost High-Radix Photonic Switch for Rack-Scale Computing Systems
Jiang Xu, Hong Kong University of Science and Technology

Jiang Xu is a full professor at Hong Kong University of Science and Technology (HKUST). He received his PhD from Princeton University and worked at Bell Labs, NEC Labs, and a startup company before joining HKUST. Jiang established Big Data System Lab, Xilinx-HKUST Joint Lab, and OPTICS Lab at HKUST. He currently serves as the Associate Editor for IEEE TCAD, TVLSI, and ACM TECS. He served on the steering committees, organizing committees, and technical program committees of many international conferences, including DAC, DATE, ICCAD, CASES, ICCD, CODES+ISSS, NOCS, HiPEAC, ASP-DAC, etc. Jiang was an IEEE Distinguished Lecturer and an ACM Distinguished Speaker. He authored and coauthored more than 120 book chapters and papers in peer-reviewed international journals and conferences. His research areas include big data system, heterogeneous computing, optical interconnection network, power delivery and management, MPSoC, low-power embedded system, hardware/software codesign.


15:00 Coffee Break


15:30 Using the Optical Processing Unit for Large-Scale Machine Learning
Laurent Daudet, LightOn

As CTO at LightOn, Laurent’s task is to manage cross-disciplinary R&D projects, involving machine learning, optics, signal processing, electronics, and software engineering. Laurent is currently on leave from his position of Professor of Physics at Paris Diderot University, Paris. Prior to that or in parallel, he has held various academic positions: fellow of the Institut Universitaire de France, associate professor at Universite Pierre et Marie Curie, Visiting Senior Lecturer at Queen Mary University of London, UK, Visiting Professor at the National Institute for Informatics in Tokyo, Japan. Laurent has authored or co-authored nearly 200 scientific publications, has been a consultant to various small and large companies, and is a co-inventor in several patents. He is a graduate in physics from Ecole Normale Superieure in Paris, and holds a PhD in Applied Mathematics from Marseille University.


15:50 An Optical Neural Network Architecture Based on Highly Parallelized WDM-Multiplier-Accumulator
Tohru Ishihara, Nagoya University

Tohru Ishihara received his Dr.Eng. degree in computer science from Kyushu University in 2000. For the next three years, he was a Research Associate in the University of Tokyo. From 2003 to 2005, he was with Fujitsu Laboratories of America as a Research Staff of an Advanced CAD Technology Group. From 2005 to 2011, he was with Kyushu University as an Associate Professor. For the next seven years he was with Kyoto University. In October 2018, he joined Nagoya University where he is currently a Professor in the Department of Computing and Software Systems. His research interests include low-power design methodologies and power management techniques for embedded systems. Dr. Ishihara is a member of the IEEE, ACM, IPSJ and IEICE.


16:10 Ising Machine: an Approach to Solve Combinational Optimization Problems
Fumiyo Takano, NEC Laboratories

Fumiyo Takano received Ph.D in engineering from Waseda University, Japan, in 2009. In 2009, she joined NEC Corporation, Japan. Her main research interests include acceleration for combinatorial optimization algorithms.




16:30 PANEL Rejuvenate Post-Moore's Law Information Systems with Photonics
Moderated by Shu Namiki, National Institute of Advanced Industrial Science and Technology, Japan


17:30 Closing Remark
Yi-Shing Chang, Intel Corporation