Enabling High-Performance DNN Inference Accelerators Using Non-Volatile Analog Memory (Invited)
- An Chen
- Stefano Ambrogio
- et al.
- 2020
- EDTM 2020
Conference paper
Publications
28 results for Charles Mackin
Neuromorphic Computing with Phase Change, Device Reliability, and Variability Challenges
- Charles Mackin
- Pritish Narayanan
- et al.
- 2020
- IRPS 2020
Conference paperChemical sensor systems based on 2D and thin film materials
- Charles Mackin
- Andrea Fasoli
- et al.
- 2020
- 2D Materials
PaperReducing the Impact of Phase-Change Memory Conductance Drift on the Inference of large-scale Hardware Neural Networks
- Stefano Ambrogio
- M. Gallot
- et al.
- 2019
- IEDM 2019
Conference paperAI hardware acceleration with analog memory: Microarchitectures for low energy at high speed
- H. Y. Chang
- Geoffrey W. Burr
- et al.
- 2019
- IBM J. Res. Dev
PaperInference of Long-Short Term Memory networks at software-equivalent accuracy using 2.5M analog Phase Change Memory devices
- Hsinyu Tsai
- Stefano Ambrogio
- et al.
- 2019
- VLSI Technology 2019
Conference paperNeuro-inspired computing: From resistive memory to optics
- Charles Mackin
- Pritish Narayanan
- et al.
- 2019
- CLEO/Europe-EQEC 2019
Conference paperAccelerating deep neural networks with analog memory devices
- Geoffrey W. Burr
- Stefano Ambrogio
- et al.
- 2019
- CSTIC 2019
Conference paper