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Journal Articles
- 2024
[j2]Byeongho Kim
, Sanghoon Cha, Sangsoo Park, Jieun Lee, Sukhan Lee, Shinhaeng Kang, Jinin So, Kyungsoo Kim, Jin Jung, Jong-Geon Lee, Sunjung Lee, Yoonah Paik, Hyeonsu Kim, Jin-Seong Kim, Won-Jo Lee, Yuhwan Ro, Yeongon Cho, Jin Hyun Kim, Joon-Ho Song, Jaehoon Yu, Seungwon Lee, Jeonghyeon Cho, Kyomin Sohn:
The Breakthrough Memory Solutions for Improved Performance on LLM Inference. IEEE Micro 44(3): 40-48 (2024)- 2022
- [j1]Liu Ke, Xuan Zhang, Jinin So, Jong-Geon Lee, Shinhaeng Kang, Sukhan Lee, Songyi Han, YeonGon Cho, Jin Hyun Kim, Yongsuk Kwon, KyungSoo Kim, Jin Jung, IlKwon Yun, Sung Joo Park, Hyunsun Park, Joon-Ho Song, Jeonghyeon Cho, Kyomin Sohn, Nam Sung Kim, Hsien-Hsin S. Lee:
Near-Memory Processing in Action: Accelerating Personalized Recommendation With AxDIMM. IEEE Micro 42(1): 116-127 (2022)
Conference and Workshop Papers
- 2022
- [c2]Donghun Lee, Jinin So, Minseon Ahn, Jong-Geon Lee, Jungmin Kim, Jeonghyeon Cho, Oliver Rebholz, Vishnu Charan Thummala, Ravi Shankar JV, Sachin Suresh Upadhya, Mohammed Ibrahim Khan, Jin Hyun Kim:
Improving In-Memory Database Operations with Acceleration DIMM (AxDIMM). DaMoN 2022: 2:1-2:9 - 2021
- [c1]Jinwon Joo, Minyong Yoon, Jungwook Choi, Mingu Kang, Jong-Geon Lee, Jinin So, IlKwon Yun, Yongsuk Kwon, KyungSoo Kim:
Understanding and Reducing Weight-Load Overhead of Systolic Deep Learning Accelerators. ISOCC 2021: 413-414
Coauthor Index
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