Projects per year
Personal profile
Education
- 2012 PhD, Graduate Institute of Networking and Multimedia, National Taiwan University
Research Interests
- Heterogeneous Parallel Computing
Experience
- 2016/08~present Assistant Professor, Department of Computer Science and Information Engineering, National Cheng Kung University
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Network
Recent external collaboration on country level. Dive into details by clicking on the dots.
Projects
Research Output
A Halide-based Synergistic Computing Framework for Heterogeneous Systems
Liao, S. W., Kuang, S. Y., Kao, C. L. & Tu, C. H., 2019 Mar 1, In : Journal of Signal Processing Systems. 91, 3-4, p. 219-233 15 p.Research output: Contribution to journal › Article
3
Citations
(Scopus)
An adaptive computation framework of distributed deep learning models for internet-of-things applications
Cheng, M. H., Sun, Q. & Tu, C. H., 2019 Jan 9, Proceedings - 2018 IEEE 24th International Conference on Embedded and Real-Time Computing Systems and Applications, RTCSA 2018. Institute of Electrical and Electronics Engineers Inc., p. 85-91 7 p. 8607237. (Proceedings - 2018 IEEE 24th International Conference on Embedded and Real-Time Computing Systems and Applications, RTCSA 2018).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Augmenting operating systems with OpenCL accelerators
Tu, C. H. & Lin, T. S., 2019 May, In : ACM Transactions on Design Automation of Electronic Systems. 24, 3, 30.Research output: Contribution to journal › Article
GPUBlocks: GUI Programming Tool for CUDA and OpenCL
Hwang, Y. S., Lin, H. H., Pai, S. H. & Tu, C. H., 2019 Mar 1, In : Journal of Signal Processing Systems. 91, 3-4, p. 235-245 11 p.Research output: Contribution to journal › Article
1
Citation
(Scopus)
Phase-based profiling and performance prediction with timing approximate simulators
Yeh, C. W., Tu, C. H., Liang, Y. C. & Hung, S. H., 2019 Jan 9, Proceedings - 2018 IEEE 24th International Conference on Embedded and Real-Time Computing Systems and Applications, RTCSA 2018. Institute of Electrical and Electronics Engineers Inc., p. 101-110 10 p. 8607239. (Proceedings - 2018 IEEE 24th International Conference on Embedded and Real-Time Computing Systems and Applications, RTCSA 2018).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Thesis
On Designing the Adaptive Computation Framework for Distributed Deep Learning Models
Author: 沐軒, 鄭., 2018 Aug 27Supervisor: Tu, C. (Supervisor)
Student thesis: Master's Thesis