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國立清華大學
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Computer Science
Meng-Shiun(Kobe) Yu
Email: Kobeyu.tw at gmail.com
I'm currently an NPU compiler engineer at Kneron, also a Ph.D. student at the department of computer science, National Tsing Hua University, Taiwan. My research interests include
compiler and runtime for deep learning accelerator; architecture/performance evaluations; compiler designs and optimizations.
Education
- Ph.D., Department of Computer Science, National Tsing Hua University 2017/9 ~ Present
- Advisor: Jenq-Kuen Lee
- M.A., Department of Electrical Engineering, National Chung Cheng University 2006/9 ~ 2008/10
- Advisor: Huei-Yung Lin
- Thesis: A Vision Surveillance System for Mobile Robot Using Omni-directional and PTZ Cameras
- B.A., Department of Electrical Engineering, National Chin Yi University of Technology 2004/9 ~ 2006/6
Work Experience
Kneron．NPU Compiler Engineer．2019 / 2 ~ Present
- Participated in the development of 6 NPU SoCs.
- Developed compiler to compress weights for NPU, metadata for firmware control flow.
- Propose a whole new NPU executable format(NEF) for the runtime.
- Developed binary utilities to merge/extract multiple models to/from single NEF file.
- Developed binary utilities to encrypt model file for KNEO AI app ( https://www.kneo.ai/ ).
- Developed just in time compiler for image accelerator, used in freeRTOS and Embedded Linux environment.
- Pre- and post-silicon verification(NPU and image accelerator).
- Debug mismatch between CSim and RTL or performance issue with firmware, CSim, and HW team.
- Survey advanced techniques, compiler: TVM, MLIR, runtime: TFRT, IREE, model/hardware co-design: network architecture search.
- Recruit and lead interns to complete specific research work.
Fongfu．Software Engineering Manager．2016 / 9 ~ 2018 / 6
- Build up a software team (~5 engineer) to deploy services on iOS/Android and Asus Zenbo.
- System architecture evaluation and planning (Mobile App, Web backend)
- Developed face recognition algorithm.
SmartAll．Senior Software Engineer．2016 / 2 ~ 2016 / 8
- Developed iOS App to control smart camera.
- Porting ffmpeg and face detection algorithm on iOS.
- Developed peer to peer commutation SDK.
MSI．Software Engineer．2013 / 11 ~ 2016 / 2
- Developed iOS App to control smart camera.
CEO(Create Electronic Optical Co., Ltd)．Software Engineer．2010 /1 ~ 2013/3
- Developed lane departure and forward collision warning systems using computer vision algorithms.
- Developed media player for driver recorder.
Skills
- Programming Language
- C/C++, Python and Shell script
- Compiler
- Construction and optimization
- Deep Learning
- Optimize and deploy neural network model to edge devices.
Publications
- The Support of MLIR HLS Adaptor for LLVM IR, Geng-Ming Liang, Chuan-Yue Yuan, Meng-Shiun Yu, Tai-Liang Chen, Kuan-Hsun Chen, and Jenq-Kuen Lee, ICPP EMS 2022, Bordeaux, France, Aug. 29 - Sep. 1, 2022. (Virtual).
- C++OpenCL4TVM: Support C++OpenCL Kernel for TVM NN Operators, Po-Yao Chang, Tai-Liang Chen, Yu-Tse Huang, Meng-Shiun Yu, Jenq-Kuen Lee, IWOCL 2022 (poster paper), 2022.
- Optimization with TVM Hybrid OP on RISC-V with P Extension, Chuan-Yue Yuan, Meng-Shiun Yu, Chao-Lin Lee, Chun-Chieh Yang, and Jenq-Kuen Lee, TVMcon 2021, Seattle, Dec. 15-17, 2021
- Support NNEF Execution Model for NNAPI, Yuan-Ming Chang, Chia-Yu Sung, Yu-Chien Sheu, Meng-Shiun Yu, Min-Yih Hsu, and Jenq-Kuen Lee, Journal of Supercomputing, 77, 10065-10096, Springer, 2021.
- NNBlocks: A Blockly Framework for AI Computing, Tai-Liang Chen, Yi-Ru Chen, Meng-Shiun Yu, and Jenq-Kuen Lee, Journal of Supercomputing, 77, 8622-8652, Springer, 2021
- Accelerating NNEF framework on OpenCL devices using clDNN, Meng-Shiun Yu, Tai-Liang Chen and Jenq-Kuen Lee, IWOCL 2020, Germany, May 2020 (poster paper).
- A Robot Vision System for Visual Surveillance, M. S. Yu, H. Wu, H. Y. Lin, International Journal of Innovative Computing, Information and Control, Vol. 10, No. 4, pp. 1267-1274, Aug. 2014.
- Lane departure and front collision warning using a single camera, H. Y. Lin, L. Q. Chen, M. S. Yu, International Symposium on Intelligent Signal Processing and Communication System, pp. 64-69, Nov. 2012.
Talks
Neural Network File Format for Inference Framework．COSCUP．2020/08/02
機器學習應用於蔬果辨識．台灣人工智慧學校 台中分校．2018/11/28
社群與企業之開源專案合作經驗分享：以阿龜微氣候天眼通為例 ．g0v summit．2018/10/6
Agrino應用於農業感測的開源專案．COSCUP．2018/8/11
那些夜裡用啤酒打造的田間感測器．COSCUP．2017/8/6
Meng-Shiun(Kobe) Yu
Email: Kobeyu.tw at gmail.com
I'm currently an NPU compiler engineer at Kneron, also a Ph.D. student at the department of computer science, National Tsing Hua University, Taiwan. My research interests include
compiler and runtime for deep learning accelerator; architecture/performance evaluations; compiler designs and optimizations.
Education
- Ph.D., Department of Computer Science, National Tsing Hua University 2017/9 ~ Present
- Advisor: Jenq-Kuen Lee
- M.A., Department of Electrical Engineering, National Chung Cheng University 2006/9 ~ 2008/10
- Advisor: Huei-Yung Lin
- Thesis: A Vision Surveillance System for Mobile Robot Using Omni-directional and PTZ Cameras
- B.A., Department of Electrical Engineering, National Chin Yi University of Technology 2004/9 ~ 2006/6
Work Experience
Kneron．NPU Compiler Engineer．2019 / 2 ~ Present
- Participated in the development of 6 NPU SoCs.
- Developed compiler to compress weights for NPU, metadata for firmware control flow.
- Propose a whole new NPU executable format(NEF) for the runtime.
- Developed binary utilities to merge/extract multiple models to/from single NEF file.
- Developed binary utilities to encrypt model file for KNEO AI app ( https://www.kneo.ai/ ).
- Developed just in time compiler for image accelerator, used in freeRTOS and Embedded Linux environment.
- Pre- and post-silicon verification(NPU and image accelerator).
- Debug mismatch between CSim and RTL or performance issue with firmware, CSim, and HW team.
- Survey advanced techniques, compiler: TVM, MLIR, runtime: TFRT, IREE, model/hardware co-design: network architecture search.
- Recruit and lead interns to complete specific research work.
Fongfu．Software Engineering Manager．2016 / 9 ~ 2018 / 6
- Build up a software team (~5 engineer) to deploy services on iOS/Android and Asus Zenbo.
- System architecture evaluation and planning (Mobile App, Web backend)
- Developed face recognition algorithm.
SmartAll．Senior Software Engineer．2016 / 2 ~ 2016 / 8
- Developed iOS App to control smart camera.
- Porting ffmpeg and face detection algorithm on iOS.
- Developed peer to peer commutation SDK.
MSI．Software Engineer．2013 / 11 ~ 2016 / 2
- Developed iOS App to control smart camera.
CEO(Create Electronic Optical Co., Ltd)．Software Engineer．2010 /1 ~ 2013/3
- Developed lane departure and forward collision warning systems using computer vision algorithms.
- Developed media player for driver recorder.
Skills
- Programming Language
- C/C++, Python and Shell script
- Compiler
- Construction and optimization
- Deep Learning
- Optimize and deploy neural network model to edge devices.
Publications
- The Support of MLIR HLS Adaptor for LLVM IR, Geng-Ming Liang, Chuan-Yue Yuan, Meng-Shiun Yu, Tai-Liang Chen, Kuan-Hsun Chen, and Jenq-Kuen Lee, ICPP EMS 2022, Bordeaux, France, Aug. 29 - Sep. 1, 2022. (Virtual).
- C++OpenCL4TVM: Support C++OpenCL Kernel for TVM NN Operators, Po-Yao Chang, Tai-Liang Chen, Yu-Tse Huang, Meng-Shiun Yu, Jenq-Kuen Lee, IWOCL 2022 (poster paper), 2022.
- Optimization with TVM Hybrid OP on RISC-V with P Extension, Chuan-Yue Yuan, Meng-Shiun Yu, Chao-Lin Lee, Chun-Chieh Yang, and Jenq-Kuen Lee, TVMcon 2021, Seattle, Dec. 15-17, 2021
- Support NNEF Execution Model for NNAPI, Yuan-Ming Chang, Chia-Yu Sung, Yu-Chien Sheu, Meng-Shiun Yu, Min-Yih Hsu, and Jenq-Kuen Lee, Journal of Supercomputing, 77, 10065-10096, Springer, 2021.
- NNBlocks: A Blockly Framework for AI Computing, Tai-Liang Chen, Yi-Ru Chen, Meng-Shiun Yu, and Jenq-Kuen Lee, Journal of Supercomputing, 77, 8622-8652, Springer, 2021
- Accelerating NNEF framework on OpenCL devices using clDNN, Meng-Shiun Yu, Tai-Liang Chen and Jenq-Kuen Lee, IWOCL 2020, Germany, May 2020 (poster paper).
- A Robot Vision System for Visual Surveillance, M. S. Yu, H. Wu, H. Y. Lin, International Journal of Innovative Computing, Information and Control, Vol. 10, No. 4, pp. 1267-1274, Aug. 2014.
- Lane departure and front collision warning using a single camera, H. Y. Lin, L. Q. Chen, M. S. Yu, International Symposium on Intelligent Signal Processing and Communication System, pp. 64-69, Nov. 2012.