PHYSIOLOGICAL-READOUT

FORUM 3
Thursday February 9 th , 8:00 AM
F3: Beyond the Horizon of Conventional Computing:
From Deep Learning to Neuromorphic Systems
Organizer:
Meng-Fan Chang, National Tsing Hua University, Hsinchu, Taiwan
Committee: Jun Deguchi, Toshiba, Kawasaki, Japan
Vivek De, Intel, Hillsboro, OR
Masato Motomura, Hokkaido University, Hokkaido, Japan
Shinichiro Shiratake, Toshiba, Tokyo, Japan
Marian Verhelst, KU Leuven, Leuven, Belgium
This forum brings together experts in software applications, system architectures, and chip
designs to explore cognitive computing approaches over the near-, mid-, and long-term.
Forum Agenda
Time: Topic:
8:00 AM Breakfast
8:20 AM Introduction
Meng-Fan Chang, National Tsing Hua University, Hsinchu, Taiwan
8:30 AM High Performance Computing Opportunities in Deep Learning
Gregory Diamos, Baidu, Sunnyvale, CA
9:20 AM Deep Learning at Cloud Scale
Andrew Putnam, Microsoft, Seattle, WA
10:10 AM Break
10:35 AM High Performance Deep-Learning Architecture and its Implementation
Zidong Du, Chinese Academy of Sciences, Beijing, China
11:25 AM Deep Learning-Deep Neural Networks, Architecture and SoC
Implementations
Hoi-Jun Yoo, KAIST, Daejeon, Korea
12:15 PM Lunch
1:20 PM Neural Networks on FPGAs
Jason Cong, University of California, Los Angeles, Los Angeles, CA
2:10 PM Efficient Hardware for Deep Learning
Bill Dally, NVIDIA, Santa Clara, CA
3:00 PM Break
3:20 PM Plenty of Room at the Bottom? Toward fJ/OP Deep Convolutional Network
Accelerators
Luca Benini, ETH Zurich, Zurich, Switzerland
4:10 PM Building Neuromorphic Circuits with Mixed CMOS/Emerging NVM
Technologies: A Step Toward Embedded Cognitive Devices?
Christian Gamrat, CEA Leti, Grenoble, France
5:00 PM Conclusion
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