Efficient Scaling of Large Language Models with Mixture of Experts and 3D Analog In-Memory Computing
- 2025
- Nat. Comput. Sci.
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73 results for Sidney Tsai
Multi-Task Neural Network Mapping onto Analog-Digital Heterogeneous Accelerators
- 2024
- NeurIPS 2024
Architecture and Programming of Analog In-Memory-Computing Accelerators for Deep Neural Networks
- Sidney Tsai
- Pritish Narayanan
- et al.
- 2024
- IPDPS 2024
Emerging Nonvolatile Memories for Analog Neuromorphic Computing
- An Chen
- Stefano Ambrogio
- et al.
- 2024
- ECS Spring Meeting 2024
Design of Analog-AI Hardware Accelerators for Transformer-based Language Models (Invited)
- Geoffrey Burr
- Sidney Tsai
- et al.
- 2023
- IEDM 2023
Using the IBM Analog In-Memory Hardware Acceleration Kit for Neural Network Training and Inference
- 2023
- APL Mach. Learn.
Architectures and Circuits for Analog-memory-based Hardware Accelerators for Deep Neural Networks
- 2023
- MRS Fall Meeting 2023
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
Phase Change Memory-based Hardware Accelerators for Deep Neural Networks
- Geoffrey Burr
- Pritish Narayanan
- et al.
- 2023
- VLSI Technology 2023