Parallelization of the NASA Goddard Cumulus Ensemble Model for Massively Parallel Computing
Hann‐Ming Henry Juang, Wei‐Kuo Tao, Xiping Zeng, Chung‐Lin Shie, Stephen E. Lang, Joanne Simpson · Terrestrial Atmospheric and Oceanic Sciences · 2007
The well-behaved performance of the implemented codes with anelastic and compressible versions on three different computing platforms indicates a successful implementation.The parallelization of both versions has speedup of 99% for up to 256 tasks.The anelastic version has better speedup and efficiency because its numerical algorithm is preferred by the parallelization than that of the compressible version.