Aquabolt-XL: Samsung HBM2-PIM with in-memory processing for ML accelerators and beyond. - Jin Hyun Kim; Shinhaeng Kang; Sukhan Lee 002; Hyeonsu Kim; Woongjae Song; Yuhwan Ro; Seungwon Lee; David Wang 003; Hyunsung Shin; BengSeng Phuah; Jihyun Choi; Jinin So; et al. (HCS, 2021)

Hardware Architecture and Software Stack for PIM Based on Commercial DRAM Technology : Industrial Product. - Sukhan Lee 002; Shinhaeng Kang; Jaehoon Lee 005; Hyeonsu Kim; Eojin Lee; Seungwoo Seo; Hosang Yoon; Seungwon Lee; Kyounghwan Lim; Hyunsung Shin; Jinhyun Kim; Seongil O; et al. (ISCA, 2021)

25.4 A 20nm 6GB Function-In-Memory DRAM, Based on HBM2 with a 1.2TFLOPS Programmable Computing Unit Using Bank-Level Parallelism, for Machine Learning Applications. - Young-Cheon Kwon; Sukhan Lee 002; Jaehoon Lee 005; Sang-Hyuk Kwon; Je-Min Ryu; Jong-Pil Son; Seongil O; Hak-soo Yu; Haesuk Lee; Soo Young Kim; Youngmin Cho; Jin Guk Kim; et al. (ISSCC, 2021)

An Architecture of Sparse Length Sum Accelerator in AxDIMM. - Shinhaeng Kang; Byeongho Kim; Sukhan Lee 002; Kyomin Sohn (AICAS, 2022)

An FPGA-based RNN-T Inference Accelerator with PIM-HBM. - Shinhaeng Kang; Sukhan Lee 002; Byeongho Kim; Hweesoo Kim; Kyomin Sohn; Nam Sung Kim; Eojin Lee (FPGA, 2022)

Aquabolt-XL HBM2-PIM, LPDDR5-PIM With In-Memory Processing, and AXDIMM With Acceleration Buffer. - Jin Hyun Kim; Shinhaeng Kang; Sukhan Lee 002; Hyeonsu Kim; Yuhwan Ro; Seungwon Lee; David Wang 003; Jihyun Choi; Jinin So; YeonGon Cho; Joon-Ho Song; Jeonghyeon Cho; et al. (IEEE Micro, 2022)

Near-Memory Processing in Action: Accelerating Personalized Recommendation With AxDIMM. - Liu Ke 001; Xuan Zhang 001; Jinin So; Jong-Geon Lee; Shinhaeng Kang; Sukhan Lee 002; Songyi Han; YeonGon Cho; Jin Hyun Kim; Yongsuk Kwon; KyungSoo Kim 003; Jin Jung; et al. (IEEE Micro, 2022)

Samsung PIM/PNM for Transfmer Based AI : Energy Efficiency on PIM/PNM Cluster. - Jin Hyun Kim; Yuhwan Ro; Jinin So; Sukhan Lee 002; Shinhaeng Kang; YeonGon Cho; Hyeonsu Kim; Byeongho Kim; Kyungsoo Kim 003; Sangsoo Park; Jin-Seong Kim; Sanghoon Cha; et al. (HCS, 2023)

MPC-Wrapper: Fully Harnessing the Potential of Samsung Aquabolt-XL HBM2-PIM on FPGAs. - Jinwoo Choi 003; Yeonan Ha; Hanna Cha; Seil Lee; Sungchul Lee; Jounghoo Lee; Shinhaeng Kang; Bongjun Kim; Hanwoong Jung; Hanjun Kim 001; Youngsok Kim (FCCM, 2024)

The Breakthrough Memory Solutions for Improved Performance on LLM Inference. - Byeongho Kim; Sanghoon Cha; Sangsoo Park; Jieun Lee; Sukhan Lee 002; Shinhaeng Kang; Jinin So; Kyungsoo Kim 003; Jin Jung; Jong-Geon Lee; Sunjung Lee; Yoonah Paik; et al. (IEEE Micro, 2024)

MAPLE: Flexible-Precision Processing-In-Memory Architecture for Efficient On-Device ML. - Jaewon Park; Quang Anh Hoang; Jonathan Ta; Shinhaeng Kang; Kyomin Sohn; Sang-Woo Jun (ACM Great Lakes Symposium on VLSI, 2025)

Accelerating Confidential Recommendation Model Inference With Near-Memory Processing. - Wenjie Xiong 001; Liu Ke 001; Maxim Ostapenko; Yongmin Tai; Yeongon Cho; Joon-Ho Song; Jinin So; Kyungsoo Kim 003; Yongsuk Kwon; Jin Jung; Jieun Lee; Byeongho Kim; et al. (IEEE Trans. Dependable Secur. Comput., 2025)