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Events for April 04, 2016

  • Energy Efficient Memory Circuits: From IoT to Exascale Systems and Beyond

    Mon, Apr 04, 2016 @ 10:30 AM - 11:30 AM

    Ming Hsieh Department of Electrical and Computer Engineering

    Conferences, Lectures, & Seminars


    Speaker: Dr. Jaydeep Kulkarni, Staff Research Scientist, Circuit Research Scientist, Circuit Research Lab, Intel Corporation

    Talk Title: Energy Efficient Memory Circuits: From IoT to Exascale Systems and Beyond

    Abstract: With the rapid advances in computing systems spanning from billions of IoTs (Internet of Things) to high performance exascale super computers, energy efficient design is an absolute must. It is projected that by 2020, around 50 billion internet connected devices will be deployed generating hundreds of zettabytes (1021 bytes) of data. It is estimated that embedded memories can occupy up to 70% of the die area in these devices. These trends clearly indicate the paramount importance of developing energy efficient, dense memory circuits and systems across the entire compute continuum. I will present two energy efficient memory solutions one geared for IoT systems while the other targeted at high performance exascale systems. With extremely low energy budget, IoT systems would need ultralow voltage circuits for always-ON sensing and computing. Low voltage Static Random Access Memory (SRAM) operation is challenging due to conflicting read-stability vs write-ability requirements. I will present two Schmitt Trigger based SRAMs having built-in process variation tolerance for extreme low voltage operation. Measurement results from 130nm test-chips confirm successful operation up to 150mV [JSSC'07, TVLSI'12]. At the other end of compute spectrum consisting of high performance exascale systems, fixed voltage/ frequency guardbands are applied to the nominal operating specifications to guarantee reliable operation in the presence of temperature variations, voltage supply droops, and transistor aging induced degradation. Since most of the systems operate at nominal conditions, the necessary guardbands for these infrequent dynamic variations significantly limit the system energy efficiency. I will present adaptive and resilient domino register file design techniques to realize a unified framework for logic + memory operating on same voltage/frequency domain. Measurement results from a 22nm test-chip demonstrate 21% higher throughput with 67% improved energy efficiency [ISSCC'15, JSSC'16]. I will conclude the seminar by highlighting the interesting areas in memory research for the development of next generation of energy efficient computing systems. These aspects include emerging non-volatile technologies such as STT, and RRAM memories, memory scaling using monolithic 3D integration, logic-in-memory organization / architectures for non von Neumann computing models such as neuromorphic computing, and security/privacy issues in next zettabytes of data.

    Biography: Jaydeep P. Kulkarni received the Bachelor of Engineering (B.E.) degree from the University of Pune, India in 2002, the Master of Technology (M. Tech.) degree from the Indian Institute of Science (IISc) Bangalore, India in 2004 and Ph.D. degree from Purdue University, West Lafayette, IN, in 2009 all in electrical engineering. During 2004-05, he worked as a Design Engineer at Cypress Semiconductors, Bangalore and designed I/O circuits for micro-power SRAMs. He joined Circuit Research Lab (CRL) at Intel Corporation, Hillsboro, OR in 2009, where he is currently working as a staff research scientist. His research is focused on energy efficient integrated circuits and systems. He has filed 27 patents and published 52 papers in referred journals and conferences (1500 citations).
    Dr. Kulkarni received 2004 Best M. Tech Student Award from IISc Bangalore, 2008 SRC Inventor Recognition Awards, 2008 ISLPED Design Contest Award, 2008 Intel Foundation Ph.D. Fellowship Award, 2008 SRC TECHCON best paper in session award, 2010 Purdue School of ECE Outstanding Doctoral Dissertation Award, 2012 Intel patent recognition award, six Intel Divisional Recognition Awards for successful technology transfers, 2015 IEEE Circuits and Systems Society's Transactions on VLSI systems best paper award, and 2015 Semiconductor Research Corporation's (SRC) outstanding industrial liaison award. He has participated in technical program committees of A-SSCC, ISLPED, ISCAS, and ASQED conferences. He serves as an associate editor for IEEE Transactions on VLSI Systems, and as an industrial liaison at the SRC, NSF Visual Cortex on Silicon program, Stanford System-X alliance, Stanford-NMTRI and SONIC STARnet research program. He is a senior member of IEEE.

    Host: Professor Peter Beerel

    Location: 248

    Audiences: Everyone Is Invited

    Contact: Suzanne Wong

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  • Seminars in Biomedical Engineering

    Mon, Apr 04, 2016 @ 12:30 PM - 01:49 PM

    Alfred E. Mann Department of Biomedical Engineering

    Conferences, Lectures, & Seminars


    Speaker: Dr. Ibsen,

    Talk Title: CANCELLED TALK

    Host: K. Kirk Shung, PhD

    Location: Olin Hall of Engineering (OHE) - 122

    Audiences: Everyone Is Invited

    Contact: Mischalgrace Diasanta

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  • Markovian Evolution of a Quantum Ensemble and its Long-Term Behavior

    Mon, Apr 04, 2016 @ 01:00 PM - 02:00 PM

    Ming Hsieh Department of Electrical and Computer Engineering

    Conferences, Lectures, & Seminars


    Speaker: Min-Hsiu Hsieh, University of Technology, Sydney

    Talk Title: Markovian Evolution of a Quantum Ensemble and its Long-Term Behavior

    Abstract: We extend the theory of quantum Markov processes on a single quantum state to a broader theory that covers Markovian evolution of an ensemble of quantum states. This generalizes Lindblad's formulation of quantum dynamical semigroups. Our formalism includes an explicit form of semigroups, their time derivative-” the infinitesimal generator, a carr'e du champ operator, and matrix *phi-entropy. We find a matrix *phi-Sobolev inequality that governs the exponential decay of the these matrix *phi-entropy. Special cases of the matrix *phi-entropy evaluate to the Holevo quantity and the variance of the ensemble, which allows us to relate our formalism to classical coding over quantum channels. In particular, we show that the convergence rates of two special semigroups-the depolarizing and phase-damping channels-can be explicitly computed. They result in fundamentally different equilibrium situations, for which there is no classical analogy.

    Biography: Min-Hsiu Hsieh received his PhD degree in electrical engineering from the University of Southern California, Los Angeles, in 2008. From 2008-2010, he was a Researcher at the ERATO-SORST Quantum Computation and Information Project, Japan Science and Technology Agency, Tokyo, Japan. From 2010-2012, he was a Postdoctoral Researcher at the Statistical Laboratory, the Centre for Mathematical Sciences, the University of Cambridge, UK. He is now an Future Fellow and Associate Professor at the Centre for Quantum Computation & Intelligent Systems (QCIS), Faculty of Engineering and Information Technology (FEIT), University of Technology, Sydney (UTS). His scientific interests include quantum Shannon theory, entanglement theory, and quantum coding theory.

    Host: Todd Brun, x03503, tbrun@usc.edu

    Location: Hughes Aircraft Electrical Engineering Center (EEB) - 539

    Audiences: Everyone Is Invited

    Contact: Gerrielyn Ramos

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  • Spring 2016 DEN@Viterbi Faculty Forum

    Mon, Apr 04, 2016 @ 02:00 PM - 03:00 PM

    DEN@Viterbi

    Workshops & Infosessions


    Spring 2016 DEN@Viterbi Faculty Forum

    Monday, April 4th, 2016
    2:00PM - 3:30PM
    Ronald Tutor Hall (RTH), Room 217
    Light Refreshments will be provided

    To RSVP: Please go to the following page (please forward to any colleagues who would wish to attend):
    https://uscviterbi.qualtrics.com/SE/?SID=SV_0HV1YC1ol2TXtdP


    Virtual Attendance Option (do not RSVP above if you are attending virtually)
    WebEx meeting link

    DEN@Viterbi Faculty Forums are intended for DEN faculty to meet and share their experiences with their colleagues on various instructional strategies, or specific tools used in their classes.

    Topics to be discussed:
    Tablet PC Technology for Course Instruction and Grading
    Fariba Ariaei, Electrical Engineering

    Collaborative Electronic Grading of Paper & Pencil Assessments
    Sheila Tejada, Computer Science

    Leveraging LMS tools to maximize course outcomes
    Ted Mayeshiba, Systems Architecting Engineering


    To RSVP: Please go to the following page (please forward to any colleagues who would wish to attend):
    https://uscviterbi.qualtrics.com/SE/?SID=SV_0HV1YC1ol2TXtdP


    Location: Ronald Tutor Hall of Engineering (RTH) - 217

    WebCast Link: https://urldefense.proofpoint.com/v2/url?u=https-3A__den.webex.com_den_j.php-3FMTID-3Dm7e9592f667b03e16f5e3dba5d0f35748&d=CwMGaQ&c=clK7kQUTWtAVEOVIgvi0NU5BOUHhpN0H8p7CSfnc_gI&r=2d0n_p2QUXd7-BnmRU5eFw&m=ZhSQQIbOjWve-zOGcN_eaq7rMaDGZxDTaBgY8PemPHc&s=keTILsl

    Audiences: Graduate

    Contact: Jairo Delgado

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  • EE 598 Cyber-Physical Systems Seminar Series

    Mon, Apr 04, 2016 @ 02:00 PM - 03:00 PM

    Ming Hsieh Department of Electrical and Computer Engineering

    Conferences, Lectures, & Seminars


    Speaker: Edward A. Lee, Professor, University of California Berkeley

    Talk Title: Resurrecting Laplace's Demon: The Case for Deterministic Models for Cyber-Physical Systems

    Abstract: In 1814, Pierre-Simon Laplace published an argument for determinism in the universe, arguing that if someone (a demon) were to know the precise location and momentum of every atom in the universe, then their past and future values for any given time are completely determined and can be calculated from the laws of classical mechanics. This principle, of course, has been roundly invalidated by quantum mechanics, and yet the laws of classical mechanics continue to be extremely useful for prediction. In this talk, I will argue that models plays different (complementary) roles in engineering and science, and that deterministic models have historically proved proved even more valuable in engineering than in science.

    Cyber-physical systems, which combine computation with physical dynamics, may seem on the surface to be a particularly poor match for deterministic models. I will argue that the next big advance in engineering methods must include deterministic models for CPS, and I will show that such models are both possible and practical.


    Biography: Edward A. Lee is the Robert S. Pepper Distinguished Professor in the Electrical Engineering and Computer Sciences (EECS) department at U.C. Berkeley. His research interests center on design, modeling, and analysis of embedded, real-time computational systems. He is the director of the nine-university TerraSwarm Research Center (http://terraswarm.org), a director of Chess, the Berkeley Center for Hybrid and Embedded Software Systems, and the director of the Berkeley Ptolemy project. From 2005-2008, he served as chair of the EE Division and then chair of the EECS Department at UC Berkeley. He is co-author of nine books (counting second and third editions) and numerous papers. He has led the development of several influential open-source software packages, notably Ptolemy and its various spinoffs. He received the B.S. degree in Computer Science from Yale University, New Haven, CT, in 1979, the S.M. degree in EECS from the Massachusetts Institute of Technology (MIT), Cambridge, in 1981, and the Ph.D. degree in EECS from the University of California Berkeley, Berkeley, in 1986. From 1979 to 1982 he was a member of technical staff at Bell Telephone Laboratories in Holmdel, New Jersey, in the Advanced Data Communications Laboratory. He is a co-founder of BDTI, Inc., where he is currently a Senior Technical Advisor, and has consulted for a number of other companies. He is a Fellow of the IEEE, was an NSF Presidential Young Investigator, and won the 1997 Frederick Emmons Terman Award for Engineering Education.

    Professor Lee's research group studies cyber-physical systems, which integrate physical dynamics with software and networks. Specifically, his group has made major contributions in models of computation with time and concurrency, model-based design and analysis, domain-specific languages, architectures for real-time computing, schedulability analysis, and modeling and programming of distributed real-time systems. His group has been involved with parallel and distributed computing, including models of computation with distributed real-time behaviors, partitioning and scheduling algorithms, backtracking techniques for fault tolerance and recovery, dataflow models of computation, and modeling of sensor networks. His group has made key contributions in semantics of timed and concurrent systems, including domain polymorphism, behavioral type systems, metamodeling of semantics, and comparative models of computation. His group has also worked on blending computing with continuous dynamics and hybrid systems. Prof. Lee himself has an extensive background in signal processing and physical-layer communication systems, and has co-authored five books on these subjects, in addition to four books on embedded systems technologies.


    Host: Paul Bogdan

    Location: Hughes Aircraft Electrical Engineering Center (EEB) - 248

    Audiences: Everyone Is Invited

    Contact: Estela Lopez

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