I am a Stanford CS PhD candidate advised by Professor Kunle Olukotun. I currently work on accelerated systems for large language models. My broad research interests also include designing computer architecture and systems for accelerating machine learning and emerging workloads.

I graduated from KAIST with my bachelor’s (‘21) and master’s (‘23) in School of Computing. At KAIST, I was fortunate enough to be advised by Professor Jaehyuk Huh on accelerated systems for machine learning and hardware security.

Publications

• Soojin Hwang, Jungwoo Kim, Sanghyeon Lee, Hongbeen Kim, and Jaehyuk Huh, “Hardware-based Heterogeneous Memory Management for Large Language Model Inference”, arXiv, 2025 [paper]

• Seonjin Na, Jungwoo Kim, Sunho Lee, and Jaehyuk Huh, “Supporting Secure Multi-GPU Computing with Dynamic and Batched Metadata Management”, the 30th IEEE International Symposium on High-Performance Computer Architecture (HPCA), 2024 [paper][slide]

• Jaemin Hong, Sunghwan Shim, Sanguk Park, Taewoo Kim, Jungwoo Kim, Junsoo Lee, Sukyoung Ryu, and Jeehoon Kang, “Taming shared mutable states of operating systems in Rust”, Science of Computer Programming (SCICO), 2024 [paper][artifact]

• Jungwoo Kim, Seonjin Na, Sanghyeon Lee, Sunho Lee, and Jaehyuk Huh, “Improving Data Reuse in NPU On-chip Memory with Interleaved Gradient Order for DNN Training”, the 56th IEEE/ACM International Symposium on Microarchitecture (MICRO), 2023 [paper][slide]

• Soojin Hwang*, Sunho Lee*, Jungwoo Kim, Hongbeen Kim, and Jaehyuk Huh, "mNPUsim: Evaluating the Effect of Sharing Resources with Multi-Core NPUs", 2023 IEEE International Symposium on Workload Characterization (IISWC), 2023 (*: equal contribution) [paper][slide][github]

• Sunho Lee, Seonjin Na, Jungwoo Kim, Jongse Park, and Jaehyuk Huh, "Tunable Memory Protection for Secure Neural Processing Units", the 40th IEEE International Conference on Computer Design (ICCD), 2022 [paper][slide]

• Sunho Lee, Jungwoo Kim, Seonjin Na, Jongse Park, and Jaehyuk Huh, "TNPU: Supporting Trusted Execution with Tree-less Integrity Protection for Neural Processing Unit", the 28th IEEE International Symposium on High-Performance Computer Architecture (HPCA), 2022 [paper][slide]

Awards & Scholarships

• National Full Graduate Scholarship, KAIST, 2021 - 2023

• Third Place, Best Paper Awards, KAIST-Samsung Electronics Industry-Academic Exchange, 2022

• Excellent Teaching Assistant Award, School of Computing, KAIST, 2022

• Cum Laude, College of Engineering, KAIST, 2021 

• Dean's List, College of Engineering, KAIST, Fall 2018 & Spring 2019

• National Science & Technology Scholarship, Korea Student Aid Foundation, 2019

• LINE Scholarship, LINE corporation, 2019

• National Full Undergraduate Scholarship, Korea Student Aid Foundation, 2014 - 2020

Teaching Experiences

• School of Computing, KAIST

  • Teaching Assistant for Computer Organization (CS311) : Spring 2022

  • Teaching Assistant for System Programming (CS230) : Fall 2021

  • Teaching Assistant for Introduction to Programming (CS101) : Fall 2020, Spring 2021

• School of Freshman, KAIST

  • Tutor for Calculus II (MAS102) : Fall 2015, Spring 2016

• Global Leadership Center, KAIST

  • Instructor for Humanity/Leadership III<Your Story: Make Your Own Lecture> (HSS062): Fall 2015, Spring 2016