Design of Analog-AI Hardware Accelerators for Transformer-based Language Models (Invited)
- Geoffrey Burr
- Sidney Tsai
- et al.
- 2023
- IEDM 2023
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12 results for Pritish Narayanan
Phase Change Memory-based Hardware Accelerators for Deep Neural Networks
- Geoffrey Burr
- Pritish Narayanan
- et al.
- 2023
- VLSI Technology 2023
Optimised weight programming for analogue memory-based deep neural networks
- Charles Mackin
- Malte Rasch
- et al.
- 2022
- MRS Fall Meeting 2022
Analog In-Memory Computing for Deep Neural Network Acceleration
- Andrea Fasoli
- Geoffrey Burr
- et al.
- 2023
- MRS Spring Meeting 2023
Optimization of Analog Accelerators for Deep Neural Networks Inference
- Andrea Fasoli
- Stefano Ambrogio
- et al.
- 2020
- ISCAS 2020
Analog memory-based techniques for accelerating the training of fully-connected deep neural networks
- Sidney Tsai
- Stefano Ambrogio
- et al.
- 2019
- SPIE Advanced Lithography 2019
Emerging Nonvolatile Memories for Analog Neuromorphic Computing
- An Chen
- Stefano Ambrogio
- et al.
- 2024
- ECS Spring Meeting 2024
Architectures and Circuits for Analog-memory-based Hardware Accelerators for Deep Neural Networks
- Sidney Tsai
- Pritish Narayanan
- et al.
- 2023
- ISCAS 2023
Analog-AI: Hardware Acceleration for Deep Neural Network Inference
- Geoffrey Burr
- Sidney Tsai
- et al.
- 2023
- NeuMatDeCaS 2023
Architecture and Programming of Analog In-Memory-Computing Accelerators for Deep Neural Networks
- Sidney Tsai
- Pritish Narayanan
- et al.
- 2024
- IPDPS 2024