Making Memristive Neural Network Accelerators Reliable

• Published in: Proceedings - International Symposium on High-Performance Computer Architecture pp. 52 - 65
• Main Authors: Feinberg, Ben, Wang, Shibo, Ipek, Engin
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01.02.2018
• Subjects: Accelerator architectures; Arrays; Computational modeling; Computer architecture; Electric potential; Neural networks; Programming; Resistance; Thermal noise

Deep neural networks (DNNs) have attracted substantial interest in recent years due to their superior performance on many classification and regression tasks as compared to other supervised learning models. DNNs often require a large amount of data movement, resulting in performance and energy overh...