Optimized Data I/O Strategy of the Algorithm of Parallel Digital Terrain Analysis

摘要

In order to improve the analysis performance of the algorithm of parallel digital terrain analysis, a series of parallel tasks should be proceed by the appropriate partition and scheduling strategy, but the algorithm of data I/O strategy can also be optimized. Based on the conventional data I/O model, the DEM data I/O strategy of the parallel algorithm for digital terrain can be optimized by the parallel pipeline method. Then it can further enhance the efficiency of the parallel algorithm of digital terrain analysis. Take the maximum slope algorithm for example, it was conducted many experiments in the small-scale cluster environment. The results show that the parallel algorithm based on the optimized data I/O strategy can improve the analysis efficiency of the previously conventional algorithm.