Passionate computer science researcher, co-advised by Prof. Huh and Prof. Kwon , in KAIST.
Fields of research interest are as following:
Systems for machine learning
Performance interference management in cloud/data-center environments
GPU accelerated systems
Co-designing hardware and software for accelerating
Please contact me by e-mail if you are interested
2017.09 - 2022.08 : Ph.D in Computer Science, KAIST
2015.09 - 2017.08 : Master in Computer Science, KAIST
2011.03 - 2015.08 : Bachelor in Computer Engineering, Sung-kyun-Kwan Univ.
[1] Changdae Kim, Seungbeom Choi, and Jaehyuk Huh, "GVTS: Global Virtual Time Fair Scheduling to Support Strict Fairness on Many Cores", IEEE Transactions on Parallel and Distributed Systems (TPDS), 30 (1), January 2019 ,
[2] Seungbeom Choi, Sunho Lee, Yeonjae Kim, Jongse Park, Youngjin Kwon, and Jaehyuk Huh, "Serving Heterogeneous Machine Learning Models on Multi-GPU Servers with Spatio-Temporal Sharing", The 2022 USENIX Annual Technical Conference (ATC), July, 2022
Best TA award in 2017
Graduated 'Summa Cum Laude' in 2015 , Sung-Kyun-Kwan University
Machine Learning Inference Time-spatial SW Scheduler Based on Multiple GPU (10-2022-0055977)