Demonstration of transformer-based ALBERT model on a 14nm analog AI inference chip
- An Chen
- Stefano Ambrogio
- et al.
- 2025
- Nature Communications
Paper
Publications
28 results for Charles Mackin
RTLExplain: A Structured Approach to RTL Code Summarization and Question Answering for Medium-to-Large Designs Using LLMs
- Ting-Hsun Chi
- Charles Mackin
- et al.
- 2025
- MLCAD 2025
Conference paperRoSum-Mcts: Monte Carlo Tree Search-Inspired HDL Code Summarization with Structural Rewards
- Prashanth Vijayaraghavan
- Charles MacKin
- et al.
- 2025
- ICLAD 2025
Conference paperAnalog AI Accelerators for Transformer-based Language Models: Hardware, Workload, and Power Performance
- H. Tsai
- H. Benmeziane
- et al.
- 2025
- IMW 2025
Conference paperHardware-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
PaperAn analog-AI chip for energy-efficient speech recognition and transcription
- S. Ambrogio
- Pritish Narayanan
- et al.
- 2023
- Nature
PaperOptimization of Projected Phase Change Memory for Analog In-Memory Computing Inference
- Ning Li
- Charles Mackin
- et al.
- 2023
- Advanced Materials
PaperIntegrated biosensor platform based on graphene transistor arrays for real-time high-accuracy ion sensing
- Mantian Xue
- Charles Mackin
- et al.
- 2022
- Nature Communications
PaperOptimised weight programming for analogue memory-based deep neural networks
- Charles Mackin
- Malte J. Rasch
- et al.
- 2022
- Nature Communications
PaperAnalog-memory-based 14nm Hardware Accelerator for Dense Deep Neural Networks including Transformers
- Atsuya Okazaki
- Pritish Narayanan
- et al.
- 2022
- ISCAS 2022
Conference paper