This paper proposes the analog hardware implementation of Binarized Neural Network (BNN). Most of the existing hardware implementations of neural networks do not consider the memristor variability issue and its effect on the overall system performance. In this work, we investigate the variability in memristive devices in crossbar dot product computation and leakage currents in the proposed BNN, and show how it effects the overall system performance.
|Original language||English (US)|
|Title of host publication||Proceedings 2019 IEEE International Conference on Artificial Intelligence Circuits and Systems, AICAS 2019|
|Publisher||Institute of Electrical and Electronics Engineers Inc.|
|Number of pages||2|
|State||Published - Mar 1 2019|