Ph.D. Student @ Vertically Integrated Architecture Research Group
KAIST, School of Electrical Engineering
Research Interest:
Computer architecture
Large-scale generative AI models
Email: jehyeon.bang@kaist.ac.kr
Office: N1 810 @ KAIST
Links: [Google Scholar] [CV]
Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Korea
Ph.D. student in School of Electrical Engineering (Mar. 2023 ~ Present)
Advisor: Prof. Minsoo Rhu
M.S. in School of Electrical Engineering (Mar. 2021 ~ Feb. 2023)
Advisor: Prof. Minsoo Rhu
B.S. in School of Electrical Engineering (Mar. 2016 ~ Feb. 2021)
Minor in School of Computing
Yunjae Lee*, Juntaek Lim*, Jehyeon Bang, Eunyeong Cho, Huijong Jeong, Taesu Kim, Hyungjun Kim, Joonhyung Lee, Jinseop Lim, Ranggi Hwang, Se Jung Kwon, Dongsoo Lee, Minsoo Rhu, "Debunking the CUDA Myth Towards GPU-based AI Systems: Evaluation of the Performance and Programmability of Intel's Gaudi NPU for AI Model Serving," The 52nd International Symposium on Computer Architecture (ISCA-52), Tokyo, Japan, June 2025
* Co-first authors
Acceptance rate: 23% (132 among 570)
[Paper]
Eunyeong Cho, Jehyeon Bang, and Minsoo Rhu, "Characterization and Analysis of Text-to-Image Diffusion Models," IEEE Computer Architecture Letters, 2024
[Paper]
Jehyeon Bang, Yujeong Choi, Myeongwoo Kim, Yongdeok Kim, and Minsoo Rhu, "vTrain: A Simulation Framework for Evaluating Cost-effective and Compute-optimal Large Language Model Training," The 57th IEEE/ACM International Symposium on Microarchitecture (MICRO-57), Austin, TX, Nov. 2024
Undergraduate research intern at Vertically Integrated Architecture Research Group, KAIST
Dec. 2019 ~ Feb. 2020 / Nov. 2020 ~ Feb. 2021
Intern at Kohyoung Technology R&D Center, Yongin
Feb. 2019 ~ Aug. 2019
Intern at SK Hynix, Cheongju
Jun. 2018 ~ Aug. 2018
Teaching Assistant (KAIST)
EE209: Programming Structure for Electrical Engineering (2023-Fall)
EE312: Introduction to Computer Architecture (2023-Spring, 2024-Spring, 2025-Spring)
EE514: Parallel Computer Architecture (2024-Fall)
EE217: Introduction to Modern Software Development (2025-Fall)
Programming Languages
Preference in Python, C/C++
Experience in Java, Verilog
Platforms / Frameworks
Ubuntu, PyTorch, CUDA, CUPTI