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Events for May 04, 2016
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Inaugural USC Day of SCupport
Wed, May 04, 2016
Aerospace and Mechanical Engineering, Astronautical Engineering, Aviation Safety and Security Program, Alfred E. Mann Department of Biomedical Engineering, Center for Engineering Diversity, Thomas Lord Department of Computer Science, Daniel J. Epstein Department of Industrial and Systems Engineering, DEN@Viterbi, Information Sciences Institute, Technology & Applied Computing Program (TAC), Ming Hsieh Department of Electrical and Computer Engineering, Mork Family Department of Chemical Engineering and Materials Science, Sonny Astani Department of Civil and Environmental Engineering, USC Viterbi School of Engineering, Viterbi School of Engineering Alumni
Receptions & Special Events
On May 4, 2016, the USC community will unite to demonstrate the loyalty and SCupport of the Trojan Family. The goal: Rally as many people as possible to create the single largest day of giving participants in USC history.
Let us show the world that the collective power of the Trojan Family is unmatched anywhere. Every donor counts and all gifts, no matter the size, make a difference.
Connect with the USC community by using #DayofSCupport on Facebook, Twitter, LinkedIn, Instagram, and other social media. Your pride in USC can best be shown by our joining together to spread the word about USC Day of SCupport.
Thank you for your SCupport, and Fight On!
Visit DayofSCupport.usc.edu to plant your sword and show your support!
#DayofSCupportWebCast Link: dayofscupport.usc.edu
Audiences: Everyone Is Invited
Contact: James Morse
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Communications, Networks & Systems (CommNetS) Seminar
Wed, May 04, 2016 @ 02:00 PM - 03:00 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Dr. Wotao Yin, UCLA
Talk Title: Theory and Applications of Asynchronous Parallel Computing
Series: CommNetS
Abstract: Single-core performance stopped improving around 2005. However, 64 CPU-cores workstations, thousand-core GPUs, and even eight-core cellphones are sold at affordable prices. To take advantages of multiple cores, we must parallelize our algorithms. In order for iterative algorithms to have strong parallel performance, it is important to reduce or even remove synchronizations so that the cores can keep running with the information they have, even when the latest one has not arrived. This talk explains why such async-parallel computing is both theoretically sound and practically attractive. In particular, we study fixed-point iterations of a nonexpansive operator and show that randomized async-parallel iterations will almost surely converge to a fixed point, as long as the operator has a fixed point and the step size is properly chosen. Roughly speaking, the convergence speed scales linearly with the number of cores when the number of cores is no more than the square root of the number of variables. As special cases, novel algorithms for linear equation systems, machine learning, distributed and decentralized optimization are introduced. On sparse logistic regression and others, new async-parallel algorithms run order-of-magnitude faster than the traditional sync-parallel algorithms. This is joint work with Zhimin Peng (UCLA), Yangyang Xu (IMA), and Ming Yan (Michigan State).
Biography: Wotao Yin is a professor in the Department of Mathematics of UCLA. His research interests lie in computational optimization and its applications in image processing, machine learning, and other inverse problems. He received his B.S. in mathematics from Nanjing University in 2001, and then M.S. and Ph.D. in operations research from Columbia University in 2003 and 2006, respectively. During 2006 - 2013, he was with Rice University. He won NSF CAREER award in 2008 and Alfred P. Sloan Research Fellowship in 2009. His recent work has been in optimization algorithms for large-scale and distributed signal processing and machine learning problems.
Host: Dr. Mahdi Soltanolkotabi
Location: Hughes Aircraft Electrical Engineering Center (EEB) - 248
Audiences: Everyone Is Invited
Contact: Annie Yu
