DL-RSIM: a simulation framework to enable reliable ReRAM-based accelerators for deep learning

Meng-Yao Lin
Meng-Yao Lin
Wei-Ting Lin
Wei-Ting Lin
Tzu-Hsien Yang
Tzu-Hsien Yang
I-Ching Tseng
I-Ching Tseng
Han-Wen Hu
Han-Wen Hu
Meng-Fan Chang
Meng-Fan Chang

ICCAD, pp. 31:1-31:8, 2018.

Cited by: 9|Bibtex|Views17
EI
Other Links: dblp.uni-trier.de|academic.microsoft.com

Abstract:

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. To enable reliable memristor-based accelerators, a simulation platform is needed to precise...More

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