Zobrazeno 1 - 2
of 2
pro vyhledávání: '"Yen-Ting Tsou"'
DL-RSIM: A Reliability and Deployment Strategy Simulation Framework for ReRAM-based CNN Accelerators
Autor:
Wei-Ting Lin, Hsiang-Yun Cheng, Chia-Lin Yang, Meng-Yao Lin, Kai Lien, Han-Wen Hu, Hung-Sheng Chang, Hsiang-Pang Li, Meng-Fan Chang, Yen-Ting Tsou, Chin-Fu Nien
Publikováno v:
ACM Transactions on Embedded Computing Systems. 21:1-29
Memristor-based deep learning accelerators provide a promising solution to improve the energy efficiency of neuromorphic computing systems. However, the electrical properties and crossbar structure of memristors make these accelerators error-prone. I
Publikováno v:
2022 27th Asia and South Pacific Design Automation Conference (ASP-DAC), 702-707
STARTPAGE=702;ENDPAGE=707;TITLE=2022 27th Asia and South Pacific Design Automation Conference (ASP-DAC)
STARTPAGE=702;ENDPAGE=707;TITLE=2022 27th Asia and South Pacific Design Automation Conference (ASP-DAC)
Resistive memory-based computing-in-memory (CIM) has been considered as a promising solution to accelerate convolutional neural networks (CNN) inference, which stores the weights in crossbar memory arrays and performs in-situ matrix-vector multiplica
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::12bf45a50cc54d09ca66344c654fbaf1
https://research.utwente.nl/en/publications/45b30fd9-630d-4904-8d70-440d6fa90795
https://research.utwente.nl/en/publications/45b30fd9-630d-4904-8d70-440d6fa90795