On Optimal Stepsize for Soft Decision Viterbi Decoding. - Eui-Cheol Lim; Hyung-Jin Choi (IEICE Trans. Commun., 2005)

POSTER: GPU Based Near Data Processing for Image Processing with Pattern Aware Data Allocation and Prefetching. - Jungwoo Choi; Boyeal Kim; Ji-Ye Jeon; Hyuk-Jae Lee; Euicheol Lim; Chae-Eun Rhee (PACT, 2019)

Exploration of a PIM Design Configuration for Energy-Efficient Task Offloading. - Byoung-Hak Kim; Eui-Cheol Lim; Chae-Eun Rhee (ISCAS, 2019)

Near-Data Processing in Memory Expander for DNN Acceleration on GPUs. - Hyungkyu Ham; Hyunuk Cho; Minjae Kim 001; Jueon Park; Jeongmin Hong; Hyojin Sung; Eunhyeok Park; Euicheol Lim; Gwangsun Kim (IEEE Comput. Archit. Lett., 2021)

CMS: A Computational Memory Solution for High-Performance and Power-Efficient Recommendation System. - Minho Ha; Joonseop Sim; Donguk Moon; Myunghyun Rhee; Jungmin Choi; Byungil Koh; Euicheol Lim; Kyoung Park (AICAS, 2022)

QuiltNet: efficient deep learning inference on multi-chip accelerators using model partitioning. - Jongho Park; Hyukjun Kwon; Seowoo Kim; Junyoung Lee; Minho Ha; Euicheol Lim; Mohsen Imani; Yeseong Kim (DAC, 2022)

System Architecture and Software Stack for GDDR6-AiM. - Yongkee Kwon; Kornijcuk Vladimir; Nahsung Kim; Woojae Shin; Jongsoon Won; Minkyu Lee; Hyunha Joo; Haerang Choi; Guhyun Kim; Byeongju An; Jeongbin Kim 001; Jaewook Lee; et al. (HCS, 2022)

Enabling Efficient Large-Scale Deep Learning Training with Cache Coherent Disaggregated Memory Systems. - Zixuan Wang; Joonseop Sim; Euicheol Lim; Jishen Zhao (HPCA, 2022)

A Lightweight and Efficient GPU for NDP Utilizing Data Access Pattern of Image Processing. - Jungwoo Choi; Boyeal Kim; Ji-Ye Jeon; Hyuk-Jae Lee; Euicheol Lim; Chae-Eun Rhee (IEEE Trans. Computers, 2022)

Memory-Centric Computing with SK Hynix's Domain-Specific Memory. - Yongkee Kwon; Guhyun Kim; Nahsung Kim; Woojae Shin; Jongsoon Won; Hyunha Joo; Haerang Choi; Byeongju An; Gyeongcheol Shin; Dayeon Yun; Jeongbin Kim 001; Changhyun Kim; et al. (HCS, 2023)

A 1ynm 1.25V 8Gb 16Gb/s/Pin GDDR6-Based Accelerator-in-Memory Supporting 1TFLOPS MAC Operation and Various Activation Functions for Deep Learning Application. - Dae-Han Kwon; Seongju Lee; Kyuyoung Kim; Sanghoon Oh; Joonhong Park; Gimoon Hong; Dongyoon Ka; Kyu-Dong Hwang; Jeongje Park; Kyeong Pil Kang; Jungyeon Kim; Junyeol Jeon; et al. (IEEE J. Solid State Circuits, 2023)

SK Hynix AI-Specific Computing Memory Solution: From AiM Device to Heterogeneous AiMX-xPU System for Comprehensive LLM Inference. - Guhyun Kim; Jinkwon Kim; Nahsung Kim; Woojae Shin; Jongsoon Won; Hyunha Joo; Haerang Choi; Byeongju An; Gyeongcheol Shin; Dayeon Yun; Jeongbin Kim 001; Changhyun Kim; et al. (HCS, 2024)

Low-Overhead General-Purpose Near-Data Processing in CXL Memory Expanders. - Hyungkyu Ham; Jeongmin Hong; Geonwoo Park; Yunseon Shin; Okkyun Woo; Wonhyuk Yang; Jinhoon Bae; Eunhyeok Park; Hyojin Sung; Euicheol Lim; Gwangsun Kim (MICRO, 2024)

Cost-Effective LLM Accelerator Using Processing in Memory Technology. - Hyungdeok Lee; Guhyun Kim; Dayeon Yun; Ilkon Kim; Yongkee Kwon; Euicheol Lim (VLSI Technology and Circuits, 2024)

Non-Invasive, Memory Access-Triggered Near-Data Processing for DNN Training Acceleration on GPUs. - Hyungkyu Ham; Hyunuk Cho; Minjae Kim 001; Jueon Park; Jeongmin Hong; Hyojin Sung; Eunhyeok Park; Euicheol Lim; Gwangsun Kim (IEEE Access, 2024)

LoL-PIM: Long-Context LLM Decoding with Scalable DRAM-PIM System. - Hyucksung Kwon; Kyungmo Koo; Janghyeon Kim; Woongkyu Lee; Minjae Lee; Hyungdeok Lee; Yousub Jung; Jaehan Park; Yosub Song; Byeongsu Yang; Haerang Choi; Guhyun Kim; et al. (CoRR, 2024)

A New ECC Configuration Method for DRAM System Considering Metadata. - Jaeil Lim; Jaewon Chung; Donghun Jeong; Daegeun Jee; Euicheol Lim (IEEE Trans. Computers, 2025)