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Hyeran Jeon
Associate Professor, CSE department @ University of California Merced.
Hyeran Jeon's main research interests lie in energy-efficient, reliable and secure computer architecture and systems design. Her research lab has been sponsored by National Science Foundation, California Energy Commission, LAM Research, Xilinx, NVIDIA, and Ampere Computing. She earned her Ph.D. at the University of Southern California, under the supervision of Prof. Murali Annavaram, where she received Viterbi dean’s doctoral fellowship. She has industry experiences as an intern at IBM T.J. Watson Research Center and AMD Research, and as a systems software engineer at Samsung Electronics. She is a recipient of NSF CAREER award.
contact: hjeon7_at_ucmerced.edu
* I am looking for PhD students. If you are interested in research on computer architecture in general, GPU architecture, deep learning acceleration, or heterogeneous system, submit an application with my name marked as your faculty interest (here).
Why UC Merced? UC Merced campus is in 2-hour proximity from Silicon Valley. We are the youngest campus in the prestigious University of California system. Students will get the same benefit with the other campuses inspite of cheaper living expenses. Check our ranking for computer architecture and high-performance research here.
[BOOK CHAPTER] Jeon, H. (2023). GPU Architecture. In: Chattopadhyay, A. (eds) Handbook of Computer Architecture. Springer.
[STANDARD] IEEE Recommended Practice for Developing Energy-Efficient Power-Proportional Digital Architectures IEEE 1924.1 2022
Heliostat: Harnessing Ray Tracing Accelerators for Page Table Walks, ISCA 2025
Forest: Access-aware GPU UVM Management, ISCA 2025
Efficient Tensor Offloading for Large Deep-Learning Model Training based on Compute Express Link, SC 2024
Barre Chord: Efficient Virtual Memory Translation for Multi-Chip-Module GPUs, ISCA 2024
Decepticon: Attacking Secrets of Transformers, IISWC 2023
Locality-aware GPU Register File, IEEE CAL 2019
Tango: A Deep Neural Network Benchmark Suite for Various Accelerators, ISPASS 2019
GPGPU Register File Virtualization, MICRO 2015
Warped-DMR: Light-weight Error Detection for GPGPU, MICRO 2012
Recent News
Recent News
Our collaborative paper on memory-constraint CNN has been accepted to TMLR. Congrats, Fang and Rafi!
I received the Senate Faculty Grant! Thank you, UC Merced!
Our two papers, Heliostat and Forest have been accepted to ISCA'25! Congrats Yuan and Mao!
We have two visiting scholars from Korea University and Pusan National University this year! Looking forward to wonderful collaborations, Jonghyun and Jinmyeong!
Our paper about PyTorch's pooled memory management performance on UVM has been accepted to EuroMLSys'25. Congrats Mao!
Our paper about instruction-level power & thermal characterizations on edge GPUs has been accepted to GPGPU'25. Congrats Rafi and Kevin!
Mao successfully passed the qualifying exam and was advanced to a PhD candidate! Congrats, Mao!
I received a CAHSI-Google Research award as a PI on privacy-preserving large language models. Thank you CAHSI and Google!
Our collaborative paper "Efficient Tensor Offloading for Large Deep-Learning Model Training based on Compute Express Link" has been accepted to SC'24! Congratulations, Dong and Yuan!
Anthony, Derek, and Nawfal joined MoCA Lab. Welcome!
We received server donations from Ampere Computing. Thank you, Ampere Computing for the generous support!!
Our paper "Barre Chord: Efficient Virtual Memory Translation for Multi-Chip-Module GPUs" has been accepted to ISCA'24! Congratulations, Yuan!!
Paul joined MoCA Lab. Welcome!
Dhawal and Xinwei joined MoCA Lab. Welcome!
We hosted the first workshop for our NSF funded IUCRC research center, CEMSYS at Santa Clara Marriott!
I received the NSF CAREER Award for researching scalable and reliable composable computer architectures. Thank you, NSF for the generous support!!
Rafi and Yuan successfully passed the Qual exams and are advanced to PhD candidates! Congrats!!
Our collaborative proposal with Castro Lab has been selected by the Climate Action Research Seed Fund Competition! Thank you, UC Merced!
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