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Events for June 20, 2025

  • CA DREAMS - Technical Seminar Series

    CA DREAMS - Technical Seminar Series

    Fri, Jun 20, 2025 @ 12:00 PM - 01:00 PM

    Information Sciences Institute

    Conferences, Lectures, & Seminars


    Speaker: Puneet Gupta, Professor, UCLA

    Talk Title: Scale-out Chiplet Based Systems: Design, Architecture and Pathfinding

    Series: CA DREAMS - Technical Seminar Series

    Abstract: As conventional technology scaling becomes harder, 2.5D integration provides a viable pathway to building larger systems at lower cost. Waferscale chiplet-based systems, as much as 100X larger than largest modern SoCs pose new opportunities and challenges in their architecture and design. We describe a waferscale GPU concept and discuss our experience designing a 2000 chiplet waferscale processor system, pointing out key challenges and solutions. Next, we describe our ongoing work on developing a cross-stack pathfinding framework for large distributed 2.5D/3D systems, identifying areas where technology development would help design metrics substantially, especially for the important class of distributed machine learning training applications.

    Biography: Puneet Gupta received the B.Tech. degree in electrical engineering from the Indian Institute of Technology Delhi, New Delhi, India, in 2000, and the Ph.D. degree from the University of California at San Diego, San Diego, CA, USA, in 2007. He is currently a Faculty Member with the Electrical and Computer Engineering Department, University of California at Los Angeles. He Co-Founded Blaze DFM Inc., Sunnyvale, CA, USA, in 2004 and served as its Product Architect until 2007. He has authored over 200 papers, 18 U.S. patents, a book and two book chapters in the areas of system-technology co-optimization as well as variability/reliability aware architectures. Dr. Gupta is an IEEE Fellow and was a recipient of the NSF CAREER Award, the ACM/SIGDA Outstanding New Faculty Award, SRC Inventor Recognition Award, and the IBM Faculty Award. He currently leads the system benchmarking thrust within SRC JUMP 2.0 CHIME packaging center.

    Host: Dr. Steve Crago

    More Info: https://www.isi.edu/events/5810/scale-out-chiplet-based-systems-design-architecture-and-pathfinding/

    Webcast: https://usc.zoom.us/j/97017422125?pwd=Dbrt8MNMrmBV3xalKQJcAiNsggFJjJ.1&from=addon

    WebCast Link: https://usc.zoom.us/j/97017422125?pwd=Dbrt8MNMrmBV3xalKQJcAiNsggFJjJ.1&from=addon

    Audiences: Everyone Is Invited

    Contact: Amy Kasmir

    Event Link: https://www.isi.edu/events/5810/scale-out-chiplet-based-systems-design-architecture-and-pathfinding/


    This event is open to all eligible individuals. USC Viterbi operates all of its activities consistent with the University's Notice of Non-Discrimination. Eligibility is not determined based on race, sex, ethnicity, sexual orientation, or any other prohibited factor.

  • Quantum/Physics Joint Seminar Series - Francesco Anna Mele, Friday, June 20th at 1:30pm in EEB 132 & Zoom

    Fri, Jun 20, 2025 @ 01:30 PM - 03:00 PM

    Ming Hsieh Department of Electrical and Computer Engineering

    Conferences, Lectures, & Seminars


    Speaker: Francesco Anna Mele, Physics at the Scuola Normale Superiore Pisa, Italy

    Talk Title: From Tomography of CV Systems to a New Measure of Non-Gaussianity: The Symplectic Rank

    Series: Quantum/Physics Joint Seminar Series

    Abstract: Quantum state tomography, aimed at deriving a classical description of an unknown state from measurement data, is a fundamental task in quantum physics. In parallel, non-Gaussianity serves as a crucial resource for quantum information processing in continuous-variable (CV) systems.In this work, we investigate the fundamental limits of quantum state tomography for CV systems, revealing a deep connection between the efficiency in tomography and the degree of non-Gaussianity. Specifically:

    We first show that tomography of general non-Gaussian states is extremely inefficient;
    In contrast, we demonstrate that tomography of Gaussian states is efficient. To accomplish this, we introduce new tools of independent interest: tight bounds on the trace distance between CV states in terms of the norm distance between their first moments and covariance matrices.


    We then explore the intermediate regime, establishing that tomography becomes progressively harder as the level of non-Gaussianity increases.

    The latter result naturally leads to the concept of symplectic rank: a novel non-Gaussianity monotone that satisfies remarkable operational and resource-theoretic properties. Mathematically, the symplectic rank of a pure state is the number of symplectic eigenvalues of the covariance matrix that are strictly larger than the ones of the vacuum. Importantly, the symplectic rank is non-increasing under post-selected Gaussian operations, leading to strictly stronger no-go theorems for Gaussian conversion than those previously known. 
    The talk will be based on: https://arxiv.org/pdf/2405.01431https://arxiv.org/pdf/2411.02368, and https://arxiv.org/pdf/2504.19319 .

    Biography: Francesco Anna Mele was born in Italy in 1997. He received the B.Sc. and M.Sc. degrees in physics from the University of Pisa, Italy, in 2021, and the Diploma degree in physics from Scuola Normale Superiore of Pisa, Italy, in 2021. He is currently pursuing a Ph.D. in Physics at the Scuola Normale Superiore of Pisa, Italy, under the supervision of Vittorio Giovannetti and Ludovico Lami. He is currently visiting the California Institute of Technology (Caltech) until August 15. His research interests include all aspects of quantum information and computation.

    Host: Quntao Zhuang, Eli Levenson-Falk, Jonathan Habif, Daniel Lidar, Kelly Luo,k Todd Brun, Tony Levi, Stephan Haas

    More Info: https://usc.zoom.us/j/91779790215?pwd=ZlygfD3dO1htFllfQ0n8HyIaLNnYjL.1

    More Information: Francesco Mele -June 20, 2025.pdf

    Location: Hughes Aircraft Electrical Engineering Center (EEB) - 132

    Audiences: Everyone Is Invited

    Contact: Marilyn Poplawski

    Event Link: https://usc.zoom.us/j/91779790215?pwd=ZlygfD3dO1htFllfQ0n8HyIaLNnYjL.1


    This event is open to all eligible individuals. USC Viterbi operates all of its activities consistent with the University's Notice of Non-Discrimination. Eligibility is not determined based on race, sex, ethnicity, sexual orientation, or any other prohibited factor.

  • Robotics and Autonomous Systems Center (RASC) Seminar

    Robotics and Autonomous Systems Center (RASC) Seminar

    Fri, Jun 20, 2025 @ 02:00 PM - 03:00 PM

    Ming Hsieh Department of Electrical and Computer Engineering, Thomas Lord Department of Computer Science, USC School of Advanced Computing

    Conferences, Lectures, & Seminars


    Speaker: Prof. Dinesh Jayaraman, University of Pennsylvania

    Talk Title: Engineering Better Robot Learners: Exploration and Exploitation

    Abstract: Industry is placing big bets on "brute forcing" robotic control, but such approaches ignore the centrality of resource constraints in robotics on power, compute, time, data, etc. Towards building a true engineering discipline of robotics, my research group has been "exploiting and exploring" robot learning: exploiting to push the limits of what can be achieved with today's prevalent principles at various resource constraints, and "exploring" better design principles for efficient and minimalist robots in the future. As examples of “exploit”, we have trained quadruped robots to perform circus tricks on yoga balls and robot arms to perform household tasks in entirely unseen scenes with unseen objects. As examples of “explore”, we are studying the sensory requirements of robot learners: what sensors do they need and when do they need them during training and task execution? In this talk, I will highlight these examples and discuss some lessons we have learned in our research towards better-engineered robot learners.

    Biography: Dinesh Jayaraman is an assistant professor at the University of Pennsylvania's CIS department and GRASP lab. He leads the Perception, Action, and Learning (Penn PAL) research group, which works at the intersections of computer vision, robotics, and machine learning. Dinesh received his PhD (2017) from UT Austin, before becoming a postdoctoral scholar at UC Berkeley (2017-19). Dinesh's research has received a Best Paper Award at CORL '22, a Best Paper Runner-Up Award at ICRA '18, a Best Application Paper Award at ACCV '16, the NSF CAREER award '23, an Amazon Research Award '21, and been covered in The Economist, TechCrunch, and several other press outlets. His webpage is at: https://www.seas.upenn.edu/~dineshj/ 

    Host: Prof. Erdem Biyik

    Webcast: https://usc.zoom.us/j/97616702619?pwd=aiV4aX7mgVCUO3qUVmJ5DIWipZBy12.1

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

    WebCast Link: https://usc.zoom.us/j/97616702619?pwd=aiV4aX7mgVCUO3qUVmJ5DIWipZBy12.1

    Audiences: Everyone Is Invited

    Contact: ERDEM BIYIK


    This event is open to all eligible individuals. USC Viterbi operates all of its activities consistent with the University's Notice of Non-Discrimination. Eligibility is not determined based on race, sex, ethnicity, sexual orientation, or any other prohibited factor.