Chao-Lin Lee

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 18

Top Topics

Top Venues

ACM Trans. Embed. Comput. Syst.

Publications

Yi-Fan Chen, Yu-Jen Chang, Ching-Te Chiu, Ming-Long Huang, Geng-Ming Liang, Chao-Lin Lee, Jenq-Kuen Lee, Ping-Yu Hsieh, Wei-Chih Lai
Low DRAM Memory Access and Flexible Dataflow Convolutional Neural Network Accelerator based on RISC-V Custom Instruction. ISCAS (2024)
Chia-Chen Hsu, Chun-Lin Huang, Chao-Lin Lee, Jenq-Kuen Lee, Pei-Hung Lin
The Rewriting of DataRaceBench Benchmark for OpenCL Program Validations. ICPP Workshops (2024)
Ju-Hung Li, Jhih-Kuan Lin, Yung-Cheng Su, Chi-Wei Chu, Lai-Tak Kuok, Hung-Ming Lai, Chao-Lin Lee, Jenq-Kuen Lee
SIMD Everywhere Optimization from ARM NEON to RISC-V Vector Extensions. CoRR (2023)
Geng-Ming Liang, Chao-Lin Lee, Robert Lai, Jenq-Kuen Lee
Support of Sparse Tensor Computing for MLIR HLS. ICPP Workshops (2023)
Chao-Lin Lee, Chen-Ting Chao, Wei-Hsu Chu, Ming-Yu Hung, Jenq-Kuen Lee
Accelerating AI Applications with Sparse Matrix Compression in Halide. J. Signal Process. Syst. 95 (5) (2023)
Chao-Lin Lee, Chun-Ping Chung, Sheng-Yuan Cheng, Jenq-Kuen Lee, Robert Lai
Accelerating AI performance with the incorporation of TVM and MediaTek NeuroPilot. Connect. Sci. 35 (1) (2023)
Meng-Shiuan Shih, Hung-Ming Lai, Chao-Lin Lee, Chung-Kai Chen, Jenq-Kuen Lee
Register-Pressure Aware Predicator for Length Multiplier of RVV. ICPP Workshops (2022)
Kuan-Hsun Chen, Chiahui Su, Christian Hakert, Sebastian Buschjäger, Chao-Lin Lee, Jenq-Kuen Lee, Katharina Morik, Jian-Jia Chen
Efficient Realization of Decision Trees for Real-Time Inference. ACM Trans. Embed. Comput. Syst. 21 (6) (2022)
Che-Chia Lin, Chao-Lin Lee, Jenq-Kuen Lee, Howard Wang, Ming-Yu Hung
Accelerate Binarized Neural Networks with Processing-in-Memory Enabled by RISC-V Custom Instructions. ICPP Workshops (2021)
Hui-Hsin Liao, Chao-Lin Lee, Jenq-Kuen Lee, Wei-Chih Lai, Ming-Yu Hung, Chung-Wen Huang
Support Convolution of CNN with Compression Sparse Matrix Multiplication Flow in TVM. ICPP Workshops (2021)
Chao-Lin Lee, Min-Yih Hsu, Bing-Sung Lu, Ming-Yu Hung, Jenq-Kuen Lee
Experiment and enabled flow for GPGPU-Sim simulators with fixed-point instructions. J. Syst. Archit. 111 (2020)
Chen-Ting Chao, Wei-Hsu Chu, Chao-Lin Lee, Jenq-Kuen Lee, Ming-Yu Hung, Hsiang-Wei Sung
Devise Sparse Compression Schedulers to Enhance FastText Methods. ICPP Workshops (2020)
Yi-Ru Chen, Hui-Hsin Liao, Chia-Hsuan Chang, Che-Chia Lin, Chao-Lin Lee, Yuan-Ming Chang, Chun-Chieh Yang, Jenq-Kuen Lee
Experiments and optimizations for TVM on RISC-V Architectures with P Extension. VLSI-DAT (2020)
Chao-Lin Lee, Chen-Ting Chao, Jenq-Kuen Lee, Chung-Wen Huang, Ming-Yu Hung
Sparse-Matrix Compression Primitives with OpenCL Framework to Support Halide. IWOCL (2019)
Chao-Lin Lee, Chen-Ting Chao, Jenq-Kuen Lee, Ming-Yu Hung, Chung-Wen Huang
Accelerate DNN Performance with Sparse Matrix Compression in Halide. ICPP Workshops (2019)
Shao-Chung Wang, Li-Chen Kan, Chao-Lin Lee, Yuan-Shin Hwang, Jenq-Kuen Lee
Architecture and Compiler Support for GPUs Using Energy-Efficient Affine Register Files. ACM Trans. Design Autom. Electr. Syst. 23 (2) (2018)
Chao-Lin Lee, Min-Yih Hsu, Bing-Sung Lu, Jenq-Kuen Lee
Enable the Flow for GPGPU-Sim Simulators with Fixed-Point Instructions. ICPP Workshops (2018)
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
Analyzing OpenCL 2.0 workloads using a heterogeneous CPU-GPU simulator. ISPASS (2017)