Publications

173 results for Geoffrey W. Burr

Hardware-aware training for large-scale and diverse deep learning inference workloads using in-memory computing-based accelerators
- - Malte J. Rasch
  - Charles Mackin
  - et al.
- 2023
- Nature Communications
An analog-AI chip for energy-efficient speech recognition and transcription
- - S. Ambrogio
  - Pritish Narayanan
  - et al.
- 2023
- Nature
Yield Methodology and Heater Process Variation in Phase Change Memory (PCM) Technology for Analog Computing
- - Victor Chan
  - A. Gasasira
  - et al.
- 2023
- IEEE Trans Semicond Manuf
Architectures and Circuits for Analog-memory-based Hardware Accelerators for Deep Neural Networks (Invited)
- - Shubham Jain
  - Ching-Tzu Chen
  - et al.
- 2023
- ISCAS 2023
Optimization of Projected Phase Change Memory for Analog In-Memory Computing Inference
- - Ning Li
  - Charles Mackin
  - et al.
- 2023
- Advanced Materials
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
A Heterogeneous and Programmable Compute-In-Memory Accelerator Architecture for Analog-AI Using Dense 2-D Mesh
- - Shubham Jain
  - Hsinyu Tsai
  - et al.
- 2023
- IEEE Transactions on VLSI Systems
Optimised weight programming for analogue memory-based deep neural networks
- - Charles Mackin
  - Malte J. Rasch
  - et al.
- 2022
- Nature Communications
Fair and Comprehensive Benchmarking of Machine Learning Processing Chips
- - Geoffrey W. Burr
  - SukHwan Lim
  - et al.
- 2022
- IEEE Design and Test
Analog-memory-based 14nm Hardware Accelerator for Dense Deep Neural Networks including Transformers
- - Atsuya Okazaki
  - Pritish Narayanan
  - et al.
- 2022
- ISCAS 2022