Dynamic resistance - A metric for variability characterization of phase-change memory
- Bipin Rajendran
- Matt Breitwisch
- et al.
- 2009
- IEEE Electron Device Letters
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173 results for Geoffrey W. Burr
Architectures and Circuits for Analog-memory-based Hardware Accelerators for Deep Neural Networks (Invited)
- Shubham Jain
- Ching-Tzu Chen
- et al.
- 2023
- ISCAS 2023
Impact of Phase-Change Memory Drift on Energy Efficiency and Accuracy of Analog Compute-in-Memory Deep Learning Inference (Invited)
- Martin M. Frank
- Ning Li
- et al.
- 2023
- IRPS 2023
Analog-memory-based 14nm Hardware Accelerator for Dense Deep Neural Networks including Transformers
- Atsuya Okazaki
- Pritish Narayanan
- et al.
- 2022
- ISCAS 2022
Yield Methodology and Learning in Phase Change Memory (PCM) technology for Analog Computing : Topic/category: YE: Yield Enhancement/Learning, YM: Yield Methodologies
- Victor Chan
- A. Gasasira
- et al.
- 2022
- ASMC 2022
Circuit techniques for efficient acceleration of deep neural network inference with Analog-AI (Invited)
- Kohji Hosokawa
- Pritish Narayanan
- et al.
- 2021
- ISCAS 2021
Mushroom-Type phase change memory with projection liner: An array-level demonstration of conductance drift and noise mitigation
- Robert L. Bruce
- Syed Ghazi Sarwat
- et al.
- 2021
- IRPS 2021
Inference of Deep Neural Networks with Analog Memory Devices
- Stefano Ambrogio
- Pritish Narayanan
- et al.
- 2020
- VLSI-TSA 2020
Accelerating Deep Neural Networks with Analog Memory Devices
- Stefano Ambrogio
- Pritish Narayanan
- et al.
- 2020
- AICAS 2020
Accelerating Deep Neural Networks with Analog Memory Devices
- Katherine Spoon
- Stefano Ambrogio
- et al.
- 2020
- IMW 2020