Nahsung Kim

According to our database, Nahsung Kim authored at least 5 papers between 2021 and 2023.

Collaborative distances:

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

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 1ynm 1.25V 8Gb, 16Gb/s/pin GDDR6-based Accelerator-in-Memory supporting 1TFLOPS MAC Operation and Various Activation Functions for Deep-Learning Applications.

Seong Ju Lee, Kyu-Young Kim, Sanghoon Oh, Joonhong Park, Gimoon Hong, Dong Yoon 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, Jaewook Lee, Donguc Ko, Younggun Jun, Keewon Cho, Ilwoong Kim, Choungki Song, Chunseok Jeong, Dae-Han Kwon, Jieun Jang, Il Park, Junhyun Chun, Joohwan Cho

Proceedings of the IEEE International Solid-State Circuits Conference, 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

2021

Exploiting Retraining-Based Mixed-Precision Quantization for Low-Cost DNN Accelerator Design.

Nahsung Kim, Dongyeob Shin, Wonseok Choi, Geonho Kim, Jongsun Park

IEEE Trans. Neural Networks Learn. Syst., 2021