Jinin So

According to our database, Jinin So authored at least 10 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

RoPIM: A Processing-in-Memory Architecture for Accelerating Rotary Positional Embedding in Transformer Models.

Yunhyeong Jeon, Minwoo Jang, Hwanjun Lee, Yeji Jung, Jin Jung, Jonggeon Lee, Jinin So, Daehoon Kim

IEEE Comput. Archit. Lett., 2025

2024

The Breakthrough Memory Solutions for Improved Performance on LLM Inference.

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

IEEE Micro, 2024

An LPDDR-based CXL-PNM Platform for TCO-efficient Inference of Transformer-based Large Language Models.

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

Proceedings of the IEEE International Symposium on High-Performance Computer Architecture, 2024

2023

SMT: Software-Defined Memory Tiering for Heterogeneous Computing Systems With CXL Memory Expander.

Kyungsan Kim, Hyunseok Kim, Jinin So, Wonjae Lee, Junhyuk Im, Sungjoo Park, Jeonghyeon Cho, Hoyoung Song

IEEE Micro, 2023

Samsung PIM/PNM for Transfmer Based AI : Energy Efficiency on PIM/PNM Cluster.

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

Proceedings of the 35th IEEE Hot Chips Symposium, 2023

2022

Near-Memory Processing in Action: Accelerating Personalized Recommendation With AxDIMM.

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

IEEE Micro, 2022

Aquabolt-XL HBM2-PIM, LPDDR5-PIM With In-Memory Processing, and AXDIMM With Acceleration Buffer.

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

IEEE Micro, 2022

Improving In-Memory Database Operations with Acceleration DIMM (AxDIMM).

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

Proceedings of the International Conference on Management of Data, 2022

2021

Understanding and Reducing Weight-Load Overhead of Systolic Deep Learning Accelerators.

Jinwon Joo, Minyong Yoon, Jungwook Choi, Mingu Kang, Jong-Geon Lee, Jinin So, IlKwon Yun, Yongsuk Kwon, KyungSoo Kim

Proceedings of the 18th International SoC Design Conference, 2021

Aquabolt-XL: Samsung HBM2-PIM with in-memory processing for ML accelerators and beyond.

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

Proceedings of the IEEE Hot Chips 33 Symposium, 2021