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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
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CREATED:20260914T234517Z
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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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