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Jinin So
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2020 – today
- 2024
- [j4]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) - [c5]Sangsoo Park, KyungSoo Kim, Jinin So, Jin Jung, Jonggeon Lee, Kyoungwan Woo, Nayeon Kim, Younghyun Lee, Hyungyo Kim, Yongsuk Kwon, Jinhyun Kim, Jieun Lee, YeonGon Cho, Yongmin Tai, Jeonghyeon Cho, Hoyoung Song, Jung Ho Ahn, Nam Sung Kim:
An LPDDR-based CXL-PNM Platform for TCO-efficient Inference of Transformer-based Large Language Models. HPCA 2024: 970-982 - 2023
- [j3]Kyungsan Kim, Hyunseok Kim, Jinin So, Wonjae Lee, Junhyuk Im, Sungjoo Park, Jeonghyeon Cho, Hoyoung Song:
SMT: Software-Defined Memory Tiering for Heterogeneous Computing Systems With CXL Memory Expander. IEEE Micro 43(2): 20-29 (2023) - [c4]Jin Hyun Kim, Yuhwan Ro, Jinin So, Sukhan Lee, Shinhaeng Kang, YeonGon Cho, Hyeonsu Kim, Byeongho Kim, Kyungsoo Kim, Sangsoo Park, Jin-Seong Kim, Sanghoon Cha, Won-Jo Lee, Jin Jung, Jonggeon Lee, Jieun Lee, Joon-Ho Song, Seungwon Lee, Jeonghyeon Cho, Jaehoon Yu, Kyomin Sohn:
Samsung PIM/PNM for Transfmer Based AI : Energy Efficiency on PIM/PNM Cluster. HCS 2023: 1-31 - 2022
- [j2]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) - [j1]Jin Hyun Kim, Shinhaeng Kang, Sukhan Lee, Hyeonsu Kim, Yuhwan Ro, Seungwon Lee, David Wang, Jihyun Choi, Jinin So, YeonGon Cho, Joon-Ho Song, Jeonghyeon Cho, Kyomin Sohn, Nam Sung Kim:
Aquabolt-XL HBM2-PIM, LPDDR5-PIM With In-Memory Processing, and AXDIMM With Acceleration Buffer. IEEE Micro 42(3): 20-30 (2022) - [c3]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
- [c2]Jin Hyun Kim, Shinhaeng Kang, Sukhan Lee, Hyeonsu Kim, Woongjae Song, Yuhwan Ro, Seungwon Lee, David Wang, Hyunsung Shin, BengSeng Phuah, Jihyun Choi, Jinin So, YeonGon Cho, Joon-Ho Song, Jangseok Choi, Jeonghyeon Cho, Kyomin Sohn, Young-Soo Sohn, Kwang-Il Park, Nam Sung Kim:
Aquabolt-XL: Samsung HBM2-PIM with in-memory processing for ML accelerators and beyond. HCS 2021: 1-26 - [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
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last updated on 2024-10-07 21:19 CEST by the dblp team
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