CiDRA: A cache-inspired DRAM resilience architecture. - Young Hoon Son; Sukhan Lee 002; Seongil O; Sanghyuk Kwon; Nam Sung Kim; Jung Ho Ahn (HPCA, 2015)

Architecting to achieve a billion requests per second throughput on a single key-value store server platform. - Sheng Li 007; Hyeontaek Lim; Victor W. Lee; Jung Ho Ahn; Anuj Kalia; Michael Kaminsky; David G. Andersen; Seongil O; Sukhan Lee 002; Pradeep Dubey (ISCA, 2015)

Achieving One Billion Key-Value Requests per Second on a Single Server. - Sheng Li 007; Hyeontaek Lim; Victor W. Lee; Jung Ho Ahn; Anuj Kalia; Michael Kaminsky; David G. Andersen; Seongil O; Sukhan Lee 002; Pradeep Dubey (IEEE Micro, 2016)

Full-Stack Architecting to Achieve a Billion-Requests-Per-Second Throughput on a Single Key-Value Store Server Platform. - Sheng Li 007; Hyeontaek Lim; Victor W. Lee; Jung Ho Ahn; Anuj Kalia; Michael Kaminsky; David G. Andersen; Seongil O; Sukhan Lee 002; Pradeep Dubey (ACM Trans. Comput. Syst., 2016)

Work as a team or individual: Characterizing the system-level impacts of main memory partitioning. - Eojin Lee; Jongwook Chung; Daejin Jung; Sukhan Lee 002; Sheng Li 007; Jung Ho Ahn (IISWC, 2017)

Understanding power-performance relationship of energy-efficient modern DRAM devices. - Sukhan Lee 002; Yuhwan Ro; Young Hoon Son; Hyunyoon Cho; Nam Sung Kim; Jung Ho Ahn (IISWC, 2017)

3D-Xpath: high-density managed DRAM architecture with cost-effective alternative paths for memory transactions. - Sukhan Lee 002; Kiwon Lee; Min Chul Sung; Mohammad Alian; Chankyung Kim; Wooyeong Cho; Reum Oh; Seongil O; Jung Ho Ahn; Nam Sung Kim (PACT, 2018)

Leveraging Power-Performance Relationship of Energy-Efficient Modern DRAM Devices. - Sukhan Lee 002; Hyunyoon Cho; Young Hoon Son; Yuhwan Ro; Nam Sung Kim; Jung Ho Ahn (IEEE Access, 2018)

TWiCe: Time Window Counter Based Row Refresh to Prevent Row-Hammering. - Eojin Lee; Sukhan Lee 002; G. Edward Suh; Jung Ho Ahn (IEEE Comput. Archit. Lett., 2018)

TWiCe: preventing row-hammering by exploiting time window counters. - Eojin Lee; Ingab Kang; Sukhan Lee 002; G. Edward Suh; Jung Ho Ahn (ISCA, 2019)

MViD: Sparse Matrix-Vector Multiplication in Mobile DRAM for Accelerating Recurrent Neural Networks. - Byeongho Kim; Jongwook Chung; Eojin Lee; Wonkyung Jung; Sunjung Lee; Jaewan Choi; Jaehyun Park 006; Minbok Wi; Sukhan Lee 002; Jung Ho Ahn (IEEE Trans. Computers, 2020)

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)

A 16 GB 1024 GB/s HBM3 DRAM with On-Die Error Control Scheme for Enhanced RAS Features. - Yesin Ryu; Young-Cheon Kwon; Jaehoon Lee 005; Sung-Gi Ahn; Jaewon Park; Kijun Lee; Yu Ho Choi; Han-Won Cho; Jae San Kim; Jungyu Lee 002; Haesuk Lee; Seung Ho Song; et al. (VLSI Technology and Circuits, 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)

A 16 GB 1024 GB/s HBM3 DRAM With Source-Synchronized Bus Design and On-Die Error Control Scheme for Enhanced RAS Features. - Yesin Ryu; Sung-Gi Ahn; Jaehoon Lee 005; Jaewon Park; Yong-Ki Kim; Hyochang Kim; Yeong Geol Song; Han-Won Cho; Sunghye Cho; Seung Ho Song; Haesuk Lee; Useung Shin; et al. (IEEE J. Solid State Circuits, 2023)

Duplex: A Device for Large Language Models with Mixture of Experts, Grouped Query Attention, and Continuous Batching. - Sungmin Yun 001; Kwanhee Kyung; Juhwan Cho; Jaewan Choi; Jongmin Kim 007; Byeongho Kim; Sukhan Lee 002; Kyomin Sohn; Jung Ho Ahn (MICRO, 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)

Accelerating Retrieval-Augmented Generation. - Derrick Quinn; Mohammad Nouri; Neel Patel; John Salihu; Alireza Salemi; Sukhan Lee 002; Hamed Zamani; Mohammad Alian (ASPLOS (1), 2025)

Per-Row Activation Counting on Real Hardware: Demystifying Performance Overheads. - Jumin Kim; Seungmin Baek; Minbok Wi; Hwayong Nam; Michael Jaemin Kim; Sukhan Lee 002; Kyomin Sohn; Jung Ho Ahn (IEEE Comput. Archit. Lett., 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)