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DTSTART;TZID=America/Los_Angeles:20260729T110000
DTEND;TZID=America/Los_Angeles:20260729T120000
DTSTAMP:20260727T155342Z
CREATED:20260721T213151Z
LAST-MODIFIED:20260727T155342Z
UID:16859-1785322800-1785326400@www.cecs.uci.edu
SUMMARY:Software-Defined Accelerator-Centric Systems - A Journey to AI and Big Data Acceleration
DESCRIPTION:Title: Software-Defined Accelerator-Centric Systems – A Journey to AI and Big Data Acceleration \nSpeaker: Dr. Zhenman Fang \nDate and Time: Wednesday\, July 29\, 11:00am \nLocation: ISEB 4020 \nAbstract: \nWith the end of CPU scaling due to dark silicon limitations\, customizable hardware accelerators have gained increasing attention in modern datacenters and edge devices\, due to their low power\, high performance\, and high energy-efficiency. Unfortunately\, not everyone can design hardware accelerators and there remains a substantial gap for the large community of software developers to effectively leverage the benefits of domain-specific hardware acceleration. \nIn this talk\, I will share my research on software-defined accelerator-centric systems. First\, I will give an overview of the unique advantages of hardware accelerators using the roofline model and illustrate common hardware customization techniques that can be defined by software. Next\, I will share my research journey to AI and big data acceleration\, and demonstrate two successful case studies of accelerator-centric systems: 1) HeatViT\, a hardware-efficient image-adaptive token pruning framework for efficient yet accurate vision transformer (ViT) acceleration on edge FPGAs\, with a key focus on algorithm/hardware codesign; and 2) SQL2FPGA\, a compiler that automatically compiles big data queries onto datacenter FPGA accelerators\, with a key focus on improving software programmability. Finally\, I will discuss future research directions of software-defined accelerator-centric systems. \nBiography: \nDr. Zhenman Fang is an Associate Professor in Department of Electrical and Computer Engineering\, University of Minnesota\, Twin Cities. He is on leave from School of Engineering Science\, Simon Fraser University\, Canada\, where he joined since Apr 2019. Zhenman founded and directs the HiAccel lab. Zhenman’s recent research focuses on customizable computing with software-defined hardware acceleration\, which aims to sustain the ever-increasing performance and energy-efficiency demands of important application domains in post-Moore’s law era. It spans the entire computing stack\, including emerging application characterization and acceleration (including machine learning\, big data analytics\, high-performance computing\, and precision medicine)\, novel accelerator-rich and near-data computing architecture designs\, and corresponding programming\, runtime\, and tool support. \nZhenman has published over 80 papers in top-tier conferences and journals and holds two US patents\, including the ICCAD 10 Year Retrospective Most Influential Paper Award in 2025\, three best paper awards (FPL 2024 Stamatis Vassiliadis Best Paper\, TCAD 2019 Donald O. Pederson Best Paper\, and MEMSYS 2017 Best Paper)\, four best paper nominees (ICCAD 2025\, FCCM 2025\, HPCA 2017 and ISPASS 2018)\, and an invited paper from Proceedings of the IEEE 2019. His research has also been recognized with the inaugural SFU Research Excellence Award – Horizon Award (2025)\, a NSERC (Natural Sciences and Engineering Research Council of Canada) Alliance Award (2020)\, a CFI JELF (Canada Foundation for Innovation John R. Evans Leaders Fund) Award (2019)\, a Xilinx University Program Award (2019)\, a Team Award from Xilinx Software and IP Group (2018)\, and a Postdoc Fellowship from UCLA Institute for Digital Research and Education (2016-2017). Zhenman has also actively served in the organizing and program committee of top-tier conferences in the areas of FPGA and reconfigurable computing\, design automation\, and computer architecture. Recently\, he has served as Program Vice Chair of FCCM 2026\, Journal Track Chair of FPL 2026\, General Chair of ASAP 2025\, Program Chair of RAW 2024 and RAW 2025. More details can be found in his website: https://zhenman.github.io/. \nHosted By: Prof. Sitao Huang \nMore Information
URL:https://www.cecs.uci.edu/event/software-defined-accelerator-centric-systems-a-journey-to-ai-and-big-data-acceleration/
LOCATION:ISEB 4020\, Interdisciplinary Science and Engineering Building\, Irvine\, CA\, 92697\, United States
CATEGORIES:Seminars at CECS
ATTACH;FMTTYPE=image/jpeg:https://cecs.uci.edu/files/2026/07/Zhenman-Fang.jpg
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DTSTART;TZID=America/Los_Angeles:20260730T103000
DTEND;TZID=America/Los_Angeles:20260730T113000
DTSTAMP:20260915T171945Z
CREATED:20260711T001319Z
LAST-MODIFIED:20260915T171945Z
UID:16849-1785407400-1785411000@www.cecs.uci.edu
SUMMARY:From Domain-Specific Accelerators to Spatial Architecture Exploration
DESCRIPTION:Title: From Domain-Specific Accelerators to Spatial Architecture Exploration \nSpeaker: Dr. Jongeun Lee \nDate and Time: Thursday\, July 30\, 10:30am \nLocation: ISEB 1310 \nAbstract: \nEmerging scientific and machine learning workloads increasingly benefit from domain-specific hardware accelerators\, yet designing efficient architectures for these applications requires both effective implementations and scalable methods for architectural exploration. In this talk\, I will present our recent research on accelerator design and architecture exploration for spatial computing systems. \nI will first introduce AccelOrb\, an FPGA accelerator for Orb v2\, a graph neural network-based machine learning force field (MLFF) used in molecular dynamics simulations. By analyzing the application’s computational bottlenecks and memory requirements\, we develop a memoryaware streaming architecture that substantially improves performance while operating within the resource constraints of a modern FPGA. \nBuilding on the lessons learned from accelerator implementation\, I will then discuss FlowSpec\, a flexible framework for modeling and simulating coarse-grained spatial architectures. Rather than targeting a single accelerator design\, FlowSpec provides a scalable interface between application mapping and architectural simulation\, enabling rapid exploration of diverse compute organizations and communication networks. \nTogether\, these efforts highlight a research direction that bridges application-driven accelerator design with the systematic exploration of future spatial architectures. \nBiography: \nJongeun Lee received his B.S. and M.S. degrees in Electrical Engineering and his Ph.D. in Electrical Engineering and Computer Science from Seoul National University\, Korea. In 2009\, he joined Ulsan National Institute of Science and Technology (UNIST)\, Ulsan\, Korea\, where he is currently a Professor at the Department of Electrical Engineering. Before joining UNIST\, he was a postdoctoral research associate at Arizona State University in Tempe\, Arizona\, USA\, and also worked at Samsung Electronics\, Korea. \nProfessor Lee has authored more than 100 peer-reviewed journal and conference publications. He currently serves as Editor-in-Chief of IEEE Embedded Systems Letters and has served on the technical program and organizing committees of numerous conferences and workshops in computer-aided design and reconfigurable computing. His research interests include hardware/software co-design\, reconfigurable architectures\, deep learning\, and computer-aided design for emerging technologies. \nHosted By: Prof. Fadi Kurdahi \nMore Information
URL:https://www.cecs.uci.edu/event/from-domain-specific-accelerators-to-spatial-architecture-exploration/
LOCATION:ISEB 1310
CATEGORIES:Seminars at CECS
ATTACH;FMTTYPE=image/jpeg:https://cecs.uci.edu/files/2026/07/2023-jlee4-l.jpg
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DTSTART;TZID=America/Los_Angeles:20261109T140000
DTEND;TZID=America/Los_Angeles:20261109T150000
DTSTAMP:20261103T223607Z
CREATED:20260914T234517Z
LAST-MODIFIED:20261103T223607Z
UID:16913-1794232800-1794236400@www.cecs.uci.edu
SUMMARY:Perception/Control Co-Design for Autonomous Vehicles
DESCRIPTION:Title: Perception/Control Co-Design for Autonomous Vehicles \nSpeaker: Dr. Marilyn Wolf\, University of Nebraska – Lincoln \nDate and Time: Monday\, November 9\, 2:00 pm \nLocation: EH 2430 \nAbstract: \nPerception is a critical computational task in autonomous vehicles. Autonomous vehicles place stringent and somewhat conflicting demands on perception systems: high accuracy\, low latency\, and performance on limited computational resources. The conflict between these requirements is particularly acute in the case of unmanned aerial vehicles (UAVs). This talk will describe two related efforts on efficiency and accuracy in perception for autonomous vehicles. Work with Krishna Muuva and Justin Bradley of UNL looks at UAV-UAV tracking. We show that tracking performance saturates above a given level of perceptual accuracy. Work with Deep Samal\, Thomas Walton\, and Dung Tran of UNL builds a\nMarkovian model for perception errors and shows their effect on tracking. \nBiography: \nMarilyn Wolf is Elmer E. Koch Professor of Engineering at the University of Nebraska – Lincoln where she served as Founding Director of the School of Computing. She received her BS\, MS\, and PhD in electrical engineering from Stanford University in 1980\, 1981\, and 1984\, respectively. She was with AT&T Bell Laboratories from 1984 to 1989. She was on the faculty of Princeton University from 1989 to 2007 and was Farmer Distinguished Chair at Georgia Tech from 2007 to 2019. Her research interests include cyber-physical systems\, embedded computing\, embedded video and computer vision\, and VLSI systems. She has received the IEEE Kirchmayer Graduate Education Award\, the IEEE Computer Society Goode Memorial Award\, the ASEE Terman Award\, the IEEE Circuits and Systems Society Education Award\, and the ACM SIGDA Distinguished Service Award. She is a Fellow of the IEEE and ACM and an IEEE Computer Society Golden Core member. \nHosted By: Prof. Mohammad Al Faruque \nMore Information
URL:https://www.cecs.uci.edu/event/perception-control-co-design-for-autonomous-vehicles/
LOCATION:EH 2430\, Engineering Hall\, University of California\, Irvine\, Irvine\, CA\, 92697\, United States
CATEGORIES:Seminars at CECS
ATTACH;FMTTYPE=image/jpeg:https://cecs.uci.edu/files/2026/09/mwolf-e1793120941480.jpeg
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