Chao-Lin Lee

According to our database, Chao-Lin Lee authored at least 16 papers between 2017 and 2023.

Collaborative distances:

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

2023

Accelerating AI performance with the incorporation of TVM and MediaTek NeuroPilot.

Chao-Lin Lee, Chun-Ping Chung, Sheng-Yuan Cheng, Jenq-Kuen Lee, Robert Lai

Connect. Sci., December, 2023

Accelerating AI Applications with Sparse Matrix Compression in Halide.

Chao-Lin Lee, Chen-Ting Chao, Wei-Hsu Chu, Ming-Yu Hung, Jenq-Kuen Lee

J. Signal Process. Syst., May, 2023

SIMD Everywhere Optimization from ARM NEON to RISC-V Vector Extensions.

Ju-Hung Li, Jhih-Kuan Lin, Yung-Cheng Su, Chi-Wei Chu, Lai-Tak Kuok, Hung-Ming Lai, Chao-Lin Lee, Jenq-Kuen Lee

CoRR, 2023

Support of Sparse Tensor Computing for MLIR HLS.

Geng-Ming Liang, Chao-Lin Lee, Robert Lai, Jenq-Kuen Lee

Proceedings of the 52nd International Conference on Parallel Processing Workshops, 2023

2022

Efficient Realization of Decision Trees for Real-Time Inference.

Kuan-Hsun Chen, Chiahui Su, Christian Hakert, Sebastian Buschjäger, Chao-Lin Lee, Jenq-Kuen Lee, Katharina Morik, Jian-Jia Chen

ACM Trans. Embed. Comput. Syst., November, 2022

Register-Pressure Aware Predicator for Length Multiplier of RVV.

Meng-Shiuan Shih, Hung-Ming Lai, Chao-Lin Lee, Chung-Kai Chen, Jenq-Kuen Lee

Proceedings of the Workshop Proceedings of the 51st International Conference on Parallel Processing, 2022

2021

Accelerate Binarized Neural Networks with Processing-in-Memory Enabled by RISC-V Custom Instructions.

Che-Chia Lin, Chao-Lin Lee, Jenq-Kuen Lee, Howard Wang, Ming-Yu Hung

Proceedings of the ICPP Workshops 2021: 50th International Conference on Parallel Processing, 2021

Support Convolution of CNN with Compression Sparse Matrix Multiplication Flow in TVM.

Hui-Hsin Liao, Chao-Lin Lee, Jenq-Kuen Lee, Wei-Chih Lai, Ming-Yu Hung, Chung-Wen Huang

Proceedings of the ICPP Workshops 2021: 50th International Conference on Parallel Processing, 2021

2020

Experiment and enabled flow for GPGPU-Sim simulators with fixed-point instructions.

Chao-Lin Lee, Min-Yih Hsu, Bing-Sung Lu, Ming-Yu Hung, Jenq-Kuen Lee

J. Syst. Archit., 2020

Experiments and optimizations for TVM on RISC-V Architectures with P Extension.

Yi-Ru Chen, Hui-Hsin Liao, Chia-Hsuan Chang, Che-Chia Lin, Chao-Lin Lee, Yuan-Ming Chang, Chun-Chieh Yang, Jenq-Kuen Lee

Proceedings of the 2020 International Symposium on VLSI Design, Automation and Test, 2020

Devise Sparse Compression Schedulers to Enhance FastText Methods.

Chen-Ting Chao, Wei-Hsu Chu, Chao-Lin Lee, Jenq-Kuen Lee, Ming-Yu Hung, Hsiang-Wei Sung

Proceedings of the ICPP Workshops '20: Workshops, Edmonton, AB, Canada, August 17-20, 2020, 2020

2019

Sparse-Matrix Compression Primitives with OpenCL Framework to Support Halide.

Chao-Lin Lee, Chen-Ting Chao, Jenq-Kuen Lee, Chung-Wen Huang, Ming-Yu Hung

Proceedings of the International Workshop on OpenCL, 2019

Accelerate DNN Performance with Sparse Matrix Compression in Halide.

Chao-Lin Lee, Chen-Ting Chao, Jenq-Kuen Lee, Ming-Yu Hung, Chung-Wen Huang

Proceedings of the 48th International Conference on Parallel Processing, 2019

2018

Architecture and Compiler Support for GPUs Using Energy-Efficient Affine Register Files.

Shao-Chung Wang, Li-Chen Kan, Chao-Lin Lee, Yuan-Shin Hwang, Jenq-Kuen Lee

ACM Trans. Design Autom. Electr. Syst., 2018

Enable the Flow for GPGPU-Sim Simulators with Fixed-Point Instructions.

Chao-Lin Lee, Min-Yih Hsu, Bing-Sung Lu, Jenq-Kuen Lee

Proceedings of the 47th International Conference on Parallel Processing, 2018

2017

Analyzing OpenCL 2.0 workloads using a heterogeneous CPU-GPU simulator.

Li Wang, Ren-Wei Tsai, Shao-Chung Wang, Kun-Chih Chen, Po-Han Wang, Hsiang-Yun Cheng, Yi-Chung Lee, Sheng-Jie Shu, Chun-Chieh Yang, Min-Yih Hsu, Li-Chen Kan, Chao-Lin Lee, Tzu-Chieh Yu, Rih-Ding Peng, Chia-Lin Yang, Yuan-Shin Hwang, Jenq Kuen Lee, Shiao-Li Tsao, Ming Ouhyoung

Proceedings of the 2017 IEEE International Symposium on Performance Analysis of Systems and Software, 2017