Eui-Cheol Lim

According to our database, Eui-Cheol Lim authored at least 15 papers between 2005 and 2024.

Collaborative distances:

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

2024

Non-Invasive, Memory Access-Triggered Near-Data Processing for DNN Training Acceleration on GPUs.

Hyungkyu Ham, Hyunuk Cho, Minjae Kim, Jueon Park, Jeongmin Hong, Hyojin Sung, Eunhyeok Park, Euicheol Lim, Gwangsun Kim

IEEE Access, 2024

Cost-Effective LLM Accelerator Using Processing in Memory Technology.

Hyungdeok Lee, Guhyun Kim, Dayeon Yun, Ilkon Kim, Yongkee Kwon, Euicheol Lim

Proceedings of the IEEE Symposium on VLSI Technology and Circuits 2024, 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

Proceedings of the 57th IEEE/ACM International Symposium on Microarchitecture, 2024

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, Changhyun Kim, Ilkon Kim, Jaehan Park, Yosub Song, Byeongsu Yang, Hyeongdeok Lee, Seungyeong Park, Wonjun Lee, Seonghun Kim, Yonghoon Park, Yousub Jung, Gi-Ho Park, Euicheol Lim

Proceedings of the 36th IEEE Hot Chips Symposium, 2024

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, Nahsung Kim, Yongkee Kwon, Kornijcuk Vladimir, Woojae Shin, Jongsoon Won, Minkyu Lee, Hyunha Joo, Haerang Choi, Guhyun Kim, Byeongju An, Jaewook Lee, Donguc Ko, Younggun Jun, Ilwoong Kim, Choungki Song, Ilkon Kim, Chanwook Park, Seho Kim, Chunseok Jeong, Euicheol Lim, Dongkyun Kim, Jieun Jang, Il Park, Junhyun Chun, Joohwan Cho

IEEE J. Solid State Circuits, 2023

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, Changhyun Kim, Ilkon Kim, Jaehan Park, Chanwook Park, Yosub Song, Byeongsu Yang, Hyeongdeok Lee, Seungyeong Park, Wonjun Lee, Seongju Lee, Kyuyoung Kim, Daehan Kwon, Chunseok Jeong, John Kim, Euicheol Lim, Junhyun Chun

Proceedings of the 35th IEEE Hot Chips Symposium, 2023

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

Enabling Efficient Large-Scale Deep Learning Training with Cache Coherent Disaggregated Memory Systems.

Zixuan Wang, Joonseop Sim, Euicheol Lim, Jishen Zhao

Proceedings of the IEEE International Symposium on High-Performance Computer Architecture, 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, Jaewook Lee, Ilkon Kim, Jaehan Park, Chanwook Park, Yosub Song, Byeongsu Yang, Hyungdeok Lee, Seho Kim, Daehan Kwon, Seong Ju Lee, Kyuyoung Kim, Sanghoon Oh, Joonhong Park, Gimoon Hong, Dongyoon Ka, Kyudong Hwang, Jeongje Park, Kyeong Pil Kang, Jungyeon Kim, Junyeol Jeon, Myeongjun Lee, Minyoung Shin, Minhwan Shin, Jaekyung Cha, Changson Jung, Kijoon Chang, Chunseok Jeong, Euicheol Lim, Il Park, Junhyun Chun

Proceedings of the 2022 IEEE Hot Chips 34 Symposium, 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

Proceedings of the DAC '22: 59th ACM/IEEE Design Automation Conference, San Francisco, California, USA, July 10, 2022

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

Proceedings of the 4th IEEE International Conference on Artificial Intelligence Circuits and Systems, 2022

2021

Near-Data Processing in Memory Expander for DNN Acceleration on GPUs.

Hyungkyu Ham, Hyunuk Cho, Minjae Kim, Jueon Park, Jeongmin Hong, Hyojin Sung, Eunhyeok Park, Euicheol Lim, Gwangsun Kim

IEEE Comput. Archit. Lett., 2021

2019

Exploration of a PIM Design Configuration for Energy-Efficient Task Offloading.

Byoung-Hak Kim, Eui-Cheol Lim, Chae-Eun Rhee

Proceedings of the IEEE International Symposium on Circuits and Systems, 2019

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

Proceedings of the 28th International Conference on Parallel Architectures and Compilation Techniques, 2019

2005

On Optimal Stepsize for Soft Decision Viterbi Decoding.

Eui-Cheol Lim, Hyung-Jin Choi

IEICE Trans. Commun., 2005