Analog-AI: Hardware Acceleration for Deep Neural Network Inference
- Geoffrey Burr
- Sidney Tsai
- et al.
- 2023
- NeuMatDeCaS 2023
Invited talk
Publications
17 results for Geoffrey Burr
Optimised weight programming for analogue memory-based deep neural networks
- Charles Mackin
- Malte Rasch
- et al.
- 2022
- MRS Fall Meeting 2022
Invited talkOptimization of Projected Phase Change Memory for Analog In-Memory Computing Inference
- Ning Li
- Charles Mackin
- et al.
- 2022
- MRS Fall Meeting 2022
TalkOptimization of Projected Phase Change Memory for Application in Analog Neuromorphic Computing
- Ning Li
- Kevin Brew
- et al.
- 2021
- MRS Fall Meeting 2021
Short paperOptimization of Analog Accelerators for Deep Neural Networks Inference
- Andrea Fasoli
- Stefano Ambrogio
- et al.
- 2020
- ISCAS 2020
Conference paperWeight Programming in DNN Analog Hardware Accelerators in the Presence of NVM Variability
- Charles Mackin
- Sidney Tsai
- et al.
- 2019
- Advanced Electronic Materials
PaperAnalog memory-based techniques for accelerating the training of fully-connected deep neural networks
- Sidney Tsai
- Stefano Ambrogio
- et al.
- 2019
- SPIE Advanced Lithography 2019
Conference paper