Zobrazeno 1 - 10
of 31
pro vyhledávání: '"Youngsu Kwon"'
Autor:
Jaehoon Chung, HyunMi Kim, Kyoungseon Shin, Chun-Gi Lyuh, Yong Cheol Peter Cho, Jinho Han, Youngsu Kwon, Young-Ho Gong, Sung Woo Chung
Publikováno v:
ETRI Journal, Vol 44, Iss 5, Pp 849-858 (2022)
Dynamic voltage frequency scaling (DVFS) has been widely adopted for runtime power management of various processing units. In the case of neural processing units (NPUs), power management of neural network applications is required to adjust the freque
Externí odkaz:
https://doaj.org/article/7019db6b66c447488c26803a9450cb76
Publikováno v:
ETRI Journal, Vol 42, Iss 4, Pp 468-479 (2020)
The proposed AI processor architecture has high throughput for accelerating the neural network and reduces the external memory bandwidth required for processing the neural network. For achieving high throughput, the proposed super thread core (STC) i
Externí odkaz:
https://doaj.org/article/00ed2f5576b34a18af4a2c644a258f31
Publikováno v:
ETRI Journal, Vol 42, Iss 4, Pp 518-526 (2020)
This paper presents an efficient hardware random‐number generator based on a beta source. The proposed generator counts the values of “0” and “1” and provides a method to distinguish between pseudo‐random and true random numbers by compar
Externí odkaz:
https://doaj.org/article/9463829221314eda96ca4770fa873eb5
Autor:
Yong Cheol Peter Cho, Jaehoon Chung, Jeongmin Yang, Chun‐Gi Lyuh, HyunMi Kim, Chan Kim, Je‐seok Ham, Minseok Choi, Kyoungseon Shin, Jinho Han, Youngsu Kwon
Publikováno v:
ETRI Journal, Vol 42, Iss 4, Pp 491-504 (2020)
We present AB9, a neural processor for inference acceleration. AB9 consists of a systolic tensor core (STC) neural network accelerator designed to accelerate artificial intelligence applications by exploiting the data reuse and parallelism characteri
Externí odkaz:
https://doaj.org/article/b38d7df90356434ebdad7b6280b1415f
Publikováno v:
ETRI Journal, Vol 42, Iss 4, Pp 505-517 (2020)
The increasing size and complexity of deep neural networks (DNNs) necessitate the development of efficient high‐performance accelerators. An efficient memory structure and operating scheme provide an intuitive solution for high‐performance accele
Externí odkaz:
https://doaj.org/article/dd2649a76470442fa7657e9ac84b2695
Autor:
Timurs Maculins, Erik Verschueren, Trent Hinkle, Meena Choi, Patrick Chang, Cecile Chalouni, Shilpa Rao, Youngsu Kwon, Junghyun Lim, Anand Kumar Katakam, Ryan C Kunz, Brian K Erickson, Ting Huang, Tsung-Heng Tsai, Olga Vitek, Mike Reichelt, Yasin Senbabaoglu, Brent Mckenzie, John R Rohde, Ivan Dikic, Donald S Kirkpatrick, Aditya Murthy
Publikováno v:
eLife, Vol 10 (2021)
Defective autophagy is strongly associated with chronic inflammation. Loss-of-function of the core autophagy gene Atg16l1 increases risk for Crohn’s disease in part by enhancing innate immunity through myeloid cells such as macrophages. However, au
Externí odkaz:
https://doaj.org/article/f7e6c7d1cf284be89aa3c3ebd2cb98db
Autor:
Youngsu Kwon, Jinho Han, Yongcheol Peter Cho, Juyeob Kim, Jaehoon Chung, Jaewoong Choi, Sujin Park, Igyeong Kim, Hyunjeong Kwon, Jinkyu Kim, Hyunmi Kim, Won Jeon, Youngdeuk Jeon, Minhyung Cho, Minseok Choi
Publikováno v:
2023 International Conference on Electronics, Information, and Communication (ICEIC).
Publikováno v:
2023 International Conference on Electronics, Information, and Communication (ICEIC).
Publikováno v:
2022 19th International SoC Design Conference (ISOCC).
Autor:
Jinho Han, Chun-Gi Lyuh, Kyeongsun Shin, Hyun Mi Kim, Hyunjeong Kwon, Jaehoon Chung, Cheol Peter Cho, Jinkyu Kim, Jeonghui Suk, Chan Kim, Minseok Choi, Youngsu Kwon
Publikováno v:
2022 IEEE 4th International Conference on Artificial Intelligence Circuits and Systems (AICAS).