Director: Huai Zhang
Members: Shizhuang Ma, Tiejian Luo, Sanguo Zhang, Bojing Zhu, Lijuan Hua


We focus on establishing high-performance parallel finite element numerical simulation system and parallel visualization platform to meet the needs in research of computational geodynamics. It contains the equations of geodynamic models and their algorithms, parallel finite element analysis software, grid computing system and high-performance parallel visualization hardware and software platforms. Meanwhile, it is under our consideration applying data assimilation and data mining of scientific observations and numerical simulation results into computational geodynamics. The integration of data, large-scale numerical simulation analysis, visualization analysis and other tools, facilitates geoscientists to get timely access to historic and latest scientific data from satellite, geodesy, earthquake, tsunami and experiment through the network, to conduct large-scale high-performance simulation based on it, and to perform research projects efficiently. The construction of the open numerical simulation platform for computational geodynamics, which provides geodynamic researchers a computing environment with high-performance, friendly-interface, intuitive results visualization, and excellent maintainability, enables researchers to freely download serial, parallel and grid computing source codes as they need, in which way they can concentrate on the understanding of scientific problems and model building, and  get higher level scientific achievements. The Goal is to build a whole parallel computing program set with independent intellectual property rights, which is able to solve multi-scale multi-type large-deformation coupling problems in geodynamics considering thermal, fluid, phase change, and chemical reaction. Thus Scientists can choose an ideal software with grid-based infrastructure and operation mode from the network based on their own conceptual models, and by software sharing they can conduct simulation computing with higher fidelity, examine the model to continue further study, and explore the leading edge of earth science.