Publications

77 results for Sidney Tsai

RTLExplain: A Structured Approach to RTL Code Summarization and Question Answering for Medium-to-Large Designs Using LLMs
- - Ting-hsun (Austin) Chi
  - Charles Mackin
  - et al.
- 2025
- DAC 2025
Enhancing LLMs for HDL Code Optimization using Domain Knowledge Injection
- - Che-ming Chang
  - Prashanth Vijayaraghavan
  - et al.
- 2025
- DAC 2025
Architectural Benchmarking of Compute-in-Memory Systems
- - Pritish Narayanan
  - Sidney Tsai
- 2025
- VLSI Technology and Circuits 2025
NORA: Noise-Optimized Rescaling of LLMs on Analog Compute-in-Memory Accelerators
- - Yayue Hou
  - Sidney Tsai
  - et al.
- 2025
- DATE 2025
Efficient Scaling of Large Language Models with Mixture of Experts and 3D Analog In-Memory Computing
- - Julian Büchel
  - A. Vasilopoulos
  - et al.
- 2025
- Nat. Comput. Sci.
Multi-Task Neural Network Mapping onto Analog-Digital Heterogeneous Accelerators
- - Hadjer Benmeziane
  - Corey Liam Lammie
  - et al.
- 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
- - Manuel Le Gallo
  - Corey Liam Lammie
  - et al.
- 2023
- APL Mach. Learn.