Sangjin Choi
sjchoi (at) casys.kaist.ac.kr
Ph.D. Student (Advised by Youngjin Kwon)
Computer Architecture and Systems Lab
School of Computing
KAIST
About
Hello, I am a Ph.D. student at KAIST, specializing in Machine Learning Systems. My research aims to realize sustainable and efficient AI systems. I am particularly interested on developing next-generation AI systems that maximize resource efficiency and boost performance.
Education
- Ph.D. Student in School of Computing, KAIST, current
- M.S. in School of Computing, KAIST, 2021
- B.S. in School of Computing, KAIST, 2019
Publications
- [Findings of NAACL'25] Sukmin Cho, Sangjin Choi, Taeho Hwang, Jeongyeon Seo, Soyeong Jeong, Huije Lee, Hoyun Song, Jong C. Park, Youngjin Kwon, Lossless Acceleration of Large Language Models with Hierarchical Drafting based on Temporal Locality in Speculative Decoding
- [ICCAD'23] Jaehoon Heo, Yongwon Shin, Sangjin Choi, Sungwoong Yune, Jung-Hoon Kim, Hyojin Sung, Youngjin Kwon, Joo-Young Kim, PRIMO: A Full-Stack Processing-in-DRAM Emulation Framework for Machine Learning Workloads (Acceptance rate: 22.9%) [ Paper ]
- [USENIX ATC'23] Sangjin Choi, Inhoe Koo, Jeongseob Ahn, Myeongjae Jeon, Youngjin Kwon, EnvPipe: Performance-preserving DNN Training Framework for Saving Energy (Acceptance rate: 18.4%) [ Paper | Code | Slides | Talk ]
- [USENIX ATC'22] Sangjin Choi*, Taeksoo Kim*, Jinwoo Jeong, Rachata Ausavarungniurn, Myeongjae Jeon, Youngjin Kwon, Jeongseob Ahn, Memory Harvesting in Multi-GPU Systems with Hierarchical Unified Virtual Memory (*Co-first author, Acceptance rate: 16.2%) [ Paper | Code | Slides | Talk ]