@inproceedings{garbin:cea-01839851, TITLE = {{On the impact of OxRAM-based synapses variability on convolutional neural networks performance}}, AUTHOR = {Garbin, D. and Vianello, E. and Bichler, O. and Azzaz, M. and Rafhay, Q. and Candelier, P. and Gamrat, C. and Ghibaudo, G. and Desalvo, B. and Perniola, L.}, URL = {https://cea.hal.science/cea-01839851}, NOTE = {Conference of IEEE/ACM International Symposium on Nanoscale Architectures, NANOARCH 2015 ; Conference Date: 8 July 2015 Through 10 July 2015; Conference Code:116084}, BOOKTITLE = {{2015 IEEE/ACM International Symposium on Nanoscale Architectures (NANOARCH´15)}}, ADDRESS = {Boston, MA, United States}, HAL_LOCAL_REFERENCE = {CMNE}, PUBLISHER = {{IEEE}}, PAGES = {193-198}, YEAR = {2015}, MONTH = Jul, DOI = {10.1109/NANOARCH.2015.7180611}, KEYWORDS = {variability ; Convolution ; Convolutional neural network ; Resistive memory ; Network architecture ; OxRAM ; Nanotechnology ; Neural networks ; synapse ; Hafnium oxides}, HAL_ID = {cea-01839851}, HAL_VERSION = {v1}, }