Abstract: In the field of geographic raster data processing, the data I/O performance significantly impacts the perfor- mance of a parallel program, especially when data are massive. Currently, the research on parallel optimizations for geo- graphic raster data I/O is quite limited. I3y combining the data I/O paradigms in parallel programs with the characteris- tics of the geographic raster logical and physical models, we proposed a parallel I/O architecture for geographic raster data, and implemented four parallel access methods based on message passing model. Massive experiments verify that our methods outperform not only the conventional sequential I/O method but also the time-sharing multi-processes data access method. Our work can be used to promote the I/O efficiency of a parallel raster processing algorithm and thus improve the parallel performance of the program.

Key words: Geographicraster data, Parallel I/O, Parallel raster processing, Message passing model