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Yuzhu Wang
Researcher at China University of Geosciences (Beijing)
Publications - 24
Citations - 161
Yuzhu Wang is an academic researcher from China University of Geosciences (Beijing). The author has contributed to research in topics: CUDA & Computer science. The author has an hindex of 6, co-authored 18 publications receiving 95 citations. Previous affiliations of Yuzhu Wang include China University of Geosciences (Wuhan) & Chinese Academy of Sciences.
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A scalable parallel algorithm for atmospheric general circulation models on a multi-core cluster
Yuzhu Wang,Jinrong Jiang,He Zhang,Xiao Dong,Lizhe Wang,Lizhe Wang,Rajiv Ranjan,Albert Y. Zomaya +7 more
TL;DR: A two-dimensional domain decomposition parallel algorithm for the parallel implementation of the IAP AGCM4.0, which utilizes a hybrid form of latitude/ longitude decomposition and vertical direction/longitude circle direction decomposition, and is efficient and scalable.
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P_Segnet and NP_Segnet: New Neural Network Architectures for Cloud Recognition of Remote Sensing Images
TL;DR: A realization of cloud recognition of remote sensing imagery based on SegNet architecture is described and the results have demonstrated the feasibility and practicality of using deep learning approach for cloud recognition in remote sensing images.
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The BIM-enabled geotechnical information management of a construction project
TL;DR: A management strategy that focuses on the full life cycle management of geotechnical data together with the BIM model to improve the accuracy of decision making in the design, construction, operation and management stages of a construction project is put forward.
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Performance optimization and evaluation for parallel processing of big data in earth system models
TL;DR: An optimization algorithm for the massive data communication between the Weather Research and Forecasting model and Coupler version 7 in the Chinese Academy of Sciences-Earth System Model (CAS-ESM) is proposed and a generic performance evaluation method for ESMs from perspectives of optimal load balance and efficiency is proposed.
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A distributed load balancing algorithm for climate big data processing over a multi-core CPU cluster
TL;DR: Numerical experiments show that compared to before optimization, the optimization algorithm can solve the load imbalance of the METGRID, and the computation speed of theMETGRID and REAL modules after optimization on 64 CPU cores is about 7.2 times faster than before.