Weight Programming in DNN Analog Hardware Accelerators in the Presence of NVM Variability
- Charles Mackin
- Sidney Tsai
- et al.
- 2019
- Advanced Electronic Materials
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56 results for Stefano Ambrogio
Accelerating deep neural networks with analog memory devices
- Geoffrey W. Burr
- Stefano Ambrogio
- et al.
- 2019
- CSTIC 2019
Analog memory-based techniques for accelerating the training of fully-connected deep neural networks
- Sidney Tsai
- Stefano Ambrogio
- et al.
- 2019
- SPIE Advanced Lithography 2019
Training fully connected networks with resistive memories: Impact of device failures
- Louis P. Romero
- Stefano Ambrogio
- et al.
- 2019
- Faraday Discussions
A 4-Transistors/1-Resistor Hybrid Synapse Based on Resistive Switching Memory (RRAM) Capable of Spike-Rate-Dependent Plasticity (SRDP)
- Valerio Milo
- Giacomo Pedretti
- et al.
- 2018
- IEEE Transactions on VLSI Systems
Perspective on training fully connected networks with resistive memories: Device requirements for multiple conductances of varying significance
- Giorgio Cristiano
- Massimo Giordano
- et al.
- 2018
- Journal of Applied Physics
Recommended Methods to Study Resistive Switching Devices
- Mario Lanza
- H.-S. Philip Wong
- et al.
- 2018
- Advanced Electronic Materials
Recent progress in analog memory-based accelerators for deep learning
- Hsinyu Tsai
- Stefano Ambrogio
- et al.
- 2018
- Journal of Physics D: Applied Physics
Equivalent-accuracy accelerated neural-network training using analogue memory
- Stefano Ambrogio
- Pritish Narayanan
- et al.
- 2018
- Nature
Modeling of Breakdown-Limited Endurance in Spin-Transfer Torque Magnetic Memory under Pulsed Cycling Regime
- Roberto Carboni
- Stefano Ambrogio
- et al.
- 2018
- IEEE T-ED