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DTSTART:20070311T020000
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X-APPLE-TRAVEL-ADVISORY-BEHAVIOR:AUTOMATIC
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DTSTART;TZID=America/New_York:20260903T160000
DTEND;TZID=America/New_York:20260903T165000
URL;TYPE=URI:https://www.wpi.edu/news/calendar/events/ece-graduate-seminar-
 lecture-speaker-professor-peipei-zhou-school-engineering-brown-university
SUMMARY:ECE Graduate Seminar Lecture, Speaker: Professor Peipei Zhou, Schoo
 l of Engineering, Brown University
DESCRIPTION:Title:\nEfficient Programming on Heterogeneous Accelerators\nAb
 stract:\nIn this talk, I will first discuss how new mapping solutions, i.e
 ., composing heterogeneous accelerators within a system-on-chip with both 
 FPGAs and AI tensor cores, achieve orders of magnitude energy efficiency g
 ains when compared to monolithic accelerator mapping designs for deep lear
 ning applications. Then, I will apply such novel mapping solutions to show
  how design space explorations are performed when composing heterogeneous 
 accelerators in latency-through tradeoff analysis. Finally, I will discuss
  how such heterogeneous computing approaches can be extended to a range of
  real-world application domains, including autonomous vehicles, privacy-pr
 eserving pedestrian detection, etc.\n\n\n\nImage\n  \n\n\n\nSpeaker:\nPeip
 ei Zhou\nAssistant Professor, School of Engineering, Brown University\nBio
 :\nPeipei Zhou is currently an Assistant Professor at the School of Engine
 ering, Brown University. She received her Ph.D. in Computer Science (2019)
  and M.S. in Electrical and Computer Engineering (2014) from UCLA, and her
  B.S. in Electrical and Computer Engineering (2012) from Southeast Univers
 ity. Her research investigates architecture, programming abstraction, and 
 design automation tools for reconfigurable computing and heterogeneous com
 puting. She has published over 40 papers in IEEE/ACM computer system and d
 esign automation conferences and journals. She is a recipient of the 2026 
 NSF CAREER Award. Her work has won the 2019 IEEE TCAD Donald O. Pederson B
 est Paper Award, 2025 IEEE/ACM ICCAD 10-Year Retrospective Most Influentia
 l Paper Award, and 2026 ACM International Green and Sustainable Computing 
 (IGSC) Best Paper Award. Other awards include the 2024 IEEE IGSC Best View
 point Paper, the 2025 ACM/SIGDA FPGA Best Paper Nominee, the 2018 IEEE ISP
 ASS Best Paper Nominee, and the 2018 IEEE/ACM ICCAD Best Paper Nominee.\nH
 ost: Professor John McNeill\n
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