Chieh-Lin Tsai

According to our database, Chieh-Lin Tsai authored at least 6 papers between 2023 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Sensitivity-Aware Mixed-Precision Quantization for ReRAM-based Computing-in-Memory.

Guan-Cheng Chen, Chieh-Lin Tsai, Pei-Hsuan Tsai, Yuan-Hao Chang

CoRR, December, 2025

ReCross: Efficient Embedding Reduction Scheme for In-Memory Computing using ReRAM-Based Crossbar.

Yu-Hong Lai, Chieh-Lin Tsai, Wen Sheng Lim, Han-Wen Hu, Tei-Wei Kuo, Yuan-Hao Chang

CoRR, September, 2025

RETENTION: Resource-Efficient Tree-Based Ensemble Model Acceleration with Content-Addressable Memory.

Yi-Chun Liao, Chieh-Lin Tsai, Yuan-Hao Chang, Camélia Slimani, Jalil Boukhobza, Tei-Wei Kuo

CoRR, June, 2025

Practicalizing Tree-Based Model Acceleration with CAM through Model Pruning and Data Placement Optimization.

Yi-Chun Liao, Chieh-Lin Tsai, Yuan-Hao Chang, Camélia Slimani, Jalil Boukhobza, Tei-Wei Kuo

Proceedings of the International Conference on Hardware/Software Codesign and System Synthesis, 2025

2024

TCAM-GNN: A TCAM-Based Data Processing Strategy for GNN Over Sparse Graphs.

Yu-Pang Wang, Weichen Wang, Yuan-Hao Chang, Chieh-Lin Tsai, Tei-Wei Kuo, Chun-Feng Wu, Chien-Chung Ho, Han-Wen Hu

IEEE Trans. Emerg. Top. Comput., 2024

2023

A digital 3D TCAM accelerator for the inference phase of Random Forest.

Chieh-Lin Tsai, Chun-Feng Wu, Yuan-Hao Chang, Han-Wen Hu, Yung-Chun Lee, Hsiang-Pang Li, Tei-Wei Kuo

Proceedings of the 60th ACM/IEEE Design Automation Conference, 2023