基本信息
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Bio
“A hands-on Optimizer coming from GPGPU and going to Deep Learning”
Expertise in:
+ Deep Neural Network Training/Inference Optimization
+ Multithreaded programming and performance tuning/optimization (OpenMP, CUDA, OpenCL)
+ Heterogeneous-Multicore/Manycore architecture simulation
+ EDA algorithms/tool development, Low power RTL design, UVM based verification and FPGA prototyping
Expertise in:
+ Deep Neural Network Training/Inference Optimization
+ Multithreaded programming and performance tuning/optimization (OpenMP, CUDA, OpenCL)
+ Heterogeneous-Multicore/Manycore architecture simulation
+ EDA algorithms/tool development, Low power RTL design, UVM based verification and FPGA prototyping
Research Interests
Papers共 34 篇Author StatisticsCo-AuthorSimilar Experts
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2023 IEEE International Conference on Multimedia and Expo Workshops (ICMEW)pp.34-39, (2023)
Hitika Tiwari,Min-Hung Chen,Yi-Min Tsai,Hsien-Kai Kuo,Hung-Jen Chen,Kevin Jou,K. S. Venkatesh, Yong-Sheng Chen
Cited0Views0EIBibtex
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arxiv(2022)
Andrey Ignatov,Cheng-Ming Chiang,Hsien-Kai Kuo, Anastasia Sycheva,Radu Timofte, Min-Hung Chen,Man-Yu Lee, Yu-Syuan Xu,Yu Tseng, Shusong Xu, Jin Guo, Chao-Hung Chen,
2021 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION WORKSHOPS, CVPRW 2021pp.2503-2514, (2021)
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Author Statistics
#Papers: 0
#Citation: 0
H-Index: 0
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Sociability: 0
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Activity: 0
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- 合作者
- 学生
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