Large-scale neural networks implemented with non-volatile memory as the synaptic weight element: Comparative performance analysis (accuracy, speed, and power)
- Geoffrey W. Burr
- Pritish Narayanan
- et al.
- 2015
- IEDM 2015
Publications
This is our catalog of publications authored by IBM researchers, in collaboration with the global research community. It’s an ever-growing body of work that shows why IBM is one of the most important contributors to modern computing.
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11 results for S. Sidler
Equivalent-accuracy accelerated neural-network training using analogue memory
- Stefano Ambrogio
- Pritish Narayanan
- et al.
- 2018
- Nature
Non-filamentary non-volatile memory elements as synapses in neuromorphic systems
- Alessandro Fumarola
- Yusuf Leblebici
- et al.
- 2019
- NVMTS 2019
Improved deep neural network hardware-Accelerators based on non-volatile-memory: The local gains technique
- Irem Boybat
- Carmelo Di Nolfo
- et al.
- 2017
- ICRC 2017
Accelerating machine learning with Non-Volatile Memory: Exploring device and circuit tradeoffs
- Alessandro Fumarola
- Pritish Narayanan
- et al.
- 2016
- ICRC 2016
Large-scale neural networks implemented with Non-Volatile Memory as the synaptic weight element: Impact of conductance response
- S. Sidler
- Irem Boybat
- et al.
- 2016
- ESSDERC 2016
Bidirectional Non-Filamentary RRAM as an Analog Neuromorphic Synapse, Part II: Impact of Al/Mo/Pr0.7Ca0.3MnO3 Device Characteristics on Neural Network Training Accuracy
- Alessandro Fumarola
- S. Sidler
- et al.
- 2018
- IEEE J-EDS
Bidirectional non-filamentary RRAM as an analog neuromorphic synapse, Part I: Al/Mo/Pr0.7Ca0.3MnO3 material improvements and device measurements
- K. Moon
- Alessandro Fumarola
- et al.
- 2018
- IEEE J-EDS
Neuromorphic Architecture with 1M Memristive Synapses for Detection of Weakly Correlated Inputs
- Stanislaw Wozniak
- Angeliki Pantazi
- et al.
- 2017
- IEEE TCAS-II
Neuromorphic computing using non-volatile memory
- Geoffrey W. Burr
- Robert M. Shelby
- et al.
- 2016
- Advances in Physics: X