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    Parallelization and I/O Performance Optimization of a Global Nonhydrostatic Dynamical Core Using MPI

    Tiejun Wang1, Liu Zhuang2, Julian M. Kunkel3, Shu Xiao1, Changming Zhao1, *

    CMC-Computers, Materials & Continua, Vol.63, No.3, pp. 1399-1413, 2020, DOI:10.32604/cmc.2020.09701

    Abstract The Global-Regional Integrated forecast System (GRIST) is the nextgeneration weather and climate integrated model dynamic framework developed by Chinese Academy of Meteorological Sciences. In this paper, we present several changes made to the global nonhydrostatic dynamical (GND) core, which is part of the ongoing prototype of GRIST. The changes leveraging MPI and PnetCDF techniques were targeted at the parallelization and performance optimization to the original serial GND core. Meanwhile, some sophisticated data structures and interfaces were designed to adjust flexibly the size of boundary and halo domains according to the variable accuracy in parallel context. More >

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