DL-RSIM: a simulation framework to enable reliable ReRAM-based accelerators for deep learning
ICCAD '18: IEEE/ACM INTERNATIONAL CONFERENCE ON COMPUTER-AIDED DESIGN San Diego California November, 2018, pp. 1-8, 2018.
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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