Chao-Lin Lee

18 papers B 1C 1Journal 6Unranked 10
YearRankTypeTitle / Venue / Authors
2024 C conf
Low DRAM Memory Access and Flexible Dataflow Convolutional Neural Network Accelerator based on RISC-V Custom Instruction.
ISCAS
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
2024 — conf
The Rewriting of DataRaceBench Benchmark for OpenCL Program Validations.
ICPP Workshops
Chia-Chen Hsu, Chun-Lin Huang, Chao-Lin Lee, Jenq-Kuen Lee, Pei-Hung Lin
2023 J jnl
Accelerating AI Applications with Sparse Matrix Compression in Halide.
J. Signal Process. Syst.
Chao-Lin Lee, Chen-Ting Chao, Wei-Hsu Chu, Ming-Yu Hung, Jenq-Kuen Lee
2023 J jnl
Accelerating AI performance with the incorporation of TVM and MediaTek NeuroPilot.
Connect. Sci.
Chao-Lin Lee, Chun-Ping Chung, Sheng-Yuan Cheng, Jenq-Kuen Lee, Robert Lai
2023 J jnl
SIMD Everywhere Optimization from ARM NEON to RISC-V Vector Extensions.
CoRR
Ju-Hung Li, Jhih-Kuan Lin, Yung-Cheng Su, Chi-Wei Chu, Lai-Tak Kuok, Hung-Ming Lai, Chao-Lin Lee, Jenq-Kuen Lee
2023 — conf
Support of Sparse Tensor Computing for MLIR HLS.
ICPP Workshops
Geng-Ming Liang, Chao-Lin Lee, Robert Lai, Jenq-Kuen Lee
2022 J jnl
Efficient Realization of Decision Trees for Real-Time Inference.
ACM Trans. Embed. Comput. Syst.
Kuan-Hsun Chen, Chiahui Su, Christian Hakert, Sebastian Buschjäger, Chao-Lin Lee, Jenq-Kuen Lee, Katharina Morik, Jian-Jia Chen
2022 — conf
Register-Pressure Aware Predicator for Length Multiplier of RVV.
ICPP Workshops
Meng-Shiuan Shih, Hung-Ming Lai, Chao-Lin Lee, Chung-Kai Chen, Jenq-Kuen Lee
2021 — conf
Accelerate Binarized Neural Networks with Processing-in-Memory Enabled by RISC-V Custom Instructions.
ICPP Workshops
Che-Chia Lin, Chao-Lin Lee, Jenq-Kuen Lee, Howard Wang, Ming-Yu Hung
2021 — conf
Support Convolution of CNN with Compression Sparse Matrix Multiplication Flow in TVM.
ICPP Workshops
Hui-Hsin Liao, Chao-Lin Lee, Jenq-Kuen Lee, Wei-Chih Lai, Ming-Yu Hung, Chung-Wen Huang
2020 — conf
Devise Sparse Compression Schedulers to Enhance FastText Methods.
ICPP Workshops
Chen-Ting Chao, Wei-Hsu Chu, Chao-Lin Lee, Jenq-Kuen Lee, Ming-Yu Hung, Hsiang-Wei Sung
2020 J jnl
Experiment and enabled flow for GPGPU-Sim simulators with fixed-point instructions.
J. Syst. Archit.
Chao-Lin Lee, Min-Yih Hsu, Bing-Sung Lu, Ming-Yu Hung, Jenq-Kuen Lee
2020 — conf
Experiments and optimizations for TVM on RISC-V Architectures with P Extension.
VLSI-DAT
Yi-Ru Chen, Hui-Hsin Liao, Chia-Hsuan Chang, Che-Chia Lin, Chao-Lin Lee, Yuan-Ming Chang, Chun-Chieh Yang, Jenq-Kuen Lee
2019 — conf
Accelerate DNN Performance with Sparse Matrix Compression in Halide.
ICPP Workshops
Chao-Lin Lee, Chen-Ting Chao, Jenq-Kuen Lee, Ming-Yu Hung, Chung-Wen Huang
2019 — conf
Sparse-Matrix Compression Primitives with OpenCL Framework to Support Halide.
IWOCL
Chao-Lin Lee, Chen-Ting Chao, Jenq-Kuen Lee, Chung-Wen Huang, Ming-Yu Hung
2018 J jnl
Architecture and Compiler Support for GPUs Using Energy-Efficient Affine Register Files.
ACM Trans. Design Autom. Electr. Syst.
Shao-Chung Wang, Li-Chen Kan, Chao-Lin Lee, Yuan-Shin Hwang, Jenq-Kuen Lee
2018 — conf
Enable the Flow for GPGPU-Sim Simulators with Fixed-Point Instructions.
ICPP Workshops
Chao-Lin Lee, Min-Yih Hsu, Bing-Sung Lu, Jenq-Kuen Lee
2017 B conf
Analyzing OpenCL 2.0 workloads using a heterogeneous CPU-GPU simulator.
ISPASS
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