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Columbia University’s Data Science Institute Presents:

Authors/Collaborators are listed in alphabetical order.

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Wednesday, April 6 • 2:00pm - 4:30pm
Hybrid Analog-Digital Computing for Solving Nonlinear Systems [D32]

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"Due to the anticipated slowdown of speed and efficiency improvements in integrated circuits, researchers are looking for new scalable ways to get useful computation with existing silicon technology. Our work explores using analog electronic circuits to assist conventional digital computers to obtain high performance and low energy computation.
Our prototype analog co-processor solves nonlinear and linear systems of equations, delivering approximate solutions which are useful in physical simulations and machine learning tasks. Commonly perceived downsides of analog computing, such as low precision and accuracy, limited problem sizes, and difficulty in programming are all compensated for using methods we discuss. Based on our findings, small-scale uses of analog computing can bring efficient physics simulation to energy-efficient, Internet-of-Things devices. On the other hand, large-scale uses of analog computing can speed up the training of machine learning applications.

Demo/Poster Presenter
avatar for Yipeng Huang

Yipeng Huang

PhD Candidate in Computer Science, Columbia Engineering
Yipeng is a fourth year PhD student in computer science. | | Yipeng Huang received the B.S. degree in computer engineering in 2011, and M.S. and M.Phil. degrees in computer science in 2013 and 2015, respectively, all from Columbia University. He previously worked at Boeing, in the area of computational fluid dynamics and engineering geometry. His research interests include applications of analog computing, and performance and efficiency... Read More →

Demo/Poster Collaborator
avatar for Ning Guo

Ning Guo

PhD Candidate in Electrical Engineering, Columbia Engineering
Ning Guo is a 4th-year PhD student,  supervised by Prof. Yannis Tsividis, at Electrical Engineering Department, Columbia University. His research interests include ultra low-power analog/mixed-signal circuit design, analog/hybrid computing, energy-efficient embedded computing, continuous-time computing.

Wednesday April 6, 2016 2:00pm - 4:30pm
Roone Arledge Auditorium Lerner Hall, Columbia University 2920 Broadway, New York, NY 10040