Abstract
It is difficult to parallelize a subsistent sequential algorithm. Through analyzing the sequential algorithm of a Global Atmospheric Data Objective Analysis System, this article puts forward a distributed parallel algorithm that statically distributes data on a massively parallel processing (MPP) computer. The algorithm realizes distributed parailelization by extracting the analysis boxes and model grid point Iatitude rows with leaped steps, and by distributing the data to different processors. The parallel algorithm achieves good load balancing, high parallel efficiency, and low parallel cost. Performance experiments on a MPP computer arc also presented.
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Zhao, J., Song, J. & Li, Z. Distributed Parallelization of a Global Atmospheric Data Objective Analysis System. Adv. Atmos. Sci. 20, 159–163 (2003). https://doi.org/10.1007/BF03342060
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DOI: https://doi.org/10.1007/BF03342060