Training Adaptive Hardware for Reconfigurability: A Simplified Case Study

Autor: Xiaohu You, Chuan Zhang, Zaichen Zhang, Chongzhou Fang
Rok vydání: 2019
Předmět:
Zdroj: ASICON
DOI: 10.1109/asicon47005.2019.8983668
Popis: Reconfigurability of hardware has drawn attention from researchers. In this paper, we try to employ training in hardware and find possible hardware architecture that can achieve the goal of automatic self-organization. As it is the first step, we only focus on a simplified case of this problem. A gridlike processing element (PE) array which employs training is proposed and our simulation results show that our proposed architecture is able to approximately emulate required input-output relations.
Databáze: OpenAIRE