Demonstration of transformer-based ALBERT model on a 14nm analog AI inference chip
- An Chen
- Stefano Ambrogio
- et al.
- 2025
- Nature Communications
Publications
178 results for Geoffrey W. Burr
Analog AI Accelerators for Transformer-based Language Models: Hardware, Workload, and Power Performance
- H. Tsai
- H. Benmeziane
- et al.
- 2025
- IMW 2025
Analog-AI Hardware Accelerators for Low-Latency Transformer-Based Language Models (Invited)
- G.W. Burr
- H. Tsai
- et al.
- 2025
- CICC 2025
NORA: Noise-Optimized Rescaling of LLMs on Analog Compute-in-Memory Accelerators
- Yayue Hou
- Hsinyu Tsai
- et al.
- 2025
- DATE 2025
Efficient scaling of large language models with mixture of experts and 3D analog in-memory computing
- 2025
- Nat. Comput. Sci.
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