Abstract: GcoComputation is an important advanced computing paradigm in geographic information science. It is an in- dispensable part of the next generation of GIS (Geographic Information System). GeoComputation involves lots of processes such as data processing, spatial analysis, process simulation, etc. hhe process of GeoComputation is so compli- Gated that usually consumes large amount of time. HPC (High Performance Computing) provides a powerful tool to solve the complex GcoComputation problems. To cope with the parallel implementation issues of the GcoComputation service process in HPC envirorunent,a modeling method of the GeoComputation service process and a strategy for pro- cessing concurrent processes based on multithread were proposed. A prototype system of executing engine for the Geo- Computation service process in HPC environment was designed and implemented, which can automatically resolve and dispatch the GcoComputation service process and keep the load balanced in concurrent conditions. hhe experimental re- sups prove that the proposed method can effectively model GeoComputation service process with good practical per- formance,which can be widely used in geospatial data application fields.

Key words: GcoComputation, High performance computing, GcoComputation service process, Parallel implementation