@inproceedings{af472ee59e894e17aefd49fc3b3202b8,
title = "A Real-Time Reconfigurable AI Processor Based on FPGA",
abstract = "As an AI application requires a lot of resources, optimization of hardware and software to target application is essential. Unlikely the software updates, it is hard to reconfigure the hardware architecture to the target application due to the static characteristics. In this paper, a real-time reconfigurable AI processor based on FPGA is proposed. The AI processor includes a reconfiguration block to update the FPGA and enables hardware reconfiguration with reasonable logic resources. The proposed reconfigurable AI processor was successfully implemented, and the feasibility was demonstrated by experimenting with the accuracy in various applications.",
keywords = "AI application, hardware reconfiguration, optimization, reconfigurable AI processor",
author = "Jeong, \{Yue Ri\} and Kwonneung Cho and Youngwoo Jeong and Kwon, \{Sun Beom\} and Lee, \{Seung Eun\}",
note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 2023 IEEE International Conference on Consumer Electronics, ICCE 2023 ; Conference date: 06-01-2023 Through 08-01-2023",
year = "2023",
doi = "10.1109/ICCE56470.2023.10043575",
language = "English",
series = "Digest of Technical Papers - IEEE International Conference on Consumer Electronics",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2023 IEEE International Conference on Consumer Electronics, ICCE 2023",
}