Publications

24 results for Charles Mackin

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
Optimization of Projected Phase Change Memory for Analog In-Memory Computing Inference
- - Ning Li
  - Charles Mackin
  - et al.
- 2023
- Advanced Materials
Integrated biosensor platform based on graphene transistor arrays for real-time high-accuracy ion sensing
- - Mantian Xue
  - Charles Mackin
  - et al.
- 2022
- Nature Communications
Optimised weight programming for analogue memory-based deep neural networks
- - Charles Mackin
  - Malte J. Rasch
  - et al.
- 2022
- Nature Communications
Analog-memory-based 14nm Hardware Accelerator for Dense Deep Neural Networks including Transformers
- - Atsuya Okazaki
  - Pritish Narayanan
  - et al.
- 2022
- ISCAS 2022
Precision of bit slicing with in-memory computing based on analog phase-change memory crossbars
- - Manuel Le Gallo
  - S.R. Nandakumar
  - et al.
- 2022
- Neuromorph. Comput. Eng.
Fully On-Chip MAC at 14 nm Enabled by Accurate Row-Wise Programming of PCM-Based Weights and Parallel Vector-Transport in Duration-Format
- - Pritish Narayanan
  - Stefano Ambrogio
  - et al.
- 2021
- IEEE T-ED
Noise-Resilient DNN: Tolerating Noise in PCM-Based AI Accelerators via Noise-Aware Training
- - Sanjay Kariyappa
  - Hsinyu Tsai
  - et al.
- 2021
- IEEE T-ED
Toward Software-Equivalent Accuracy on Transformer-Based Deep Neural Networks With Analog Memory Devices
- - Katherine Spoon
  - Hsinyu Tsai
  - et al.
- 2021
- Frontiers in Computational Neuroscience