The Parallel Ocean Program (POP) is used in many strongly eddying ocean circulation simulations. Ideally it would be desirable to be able to do thousand-yearlong simulations, but the current performance of POP prohibits these types of simulations. In this work, using a new distributed computing approach, two methods to improve the performance of POP are presented. The first is a blockpartitioning scheme for the optimization of the load balancing of POP such that it can be run efficiently in a multiplatform setting. The second is the implementation of part of the POP model code on graphics processing units (GPUs). We show that the combination of both innovations also leads to a substantial performance increase when running POP simultaneously over multiple computational platforms.
CITATION STYLE
Van Werkhoven, B., Maassen, J., Kliphuis, M., Dijkstra, H. A., Brunnabend, S. E., Van Meersbergen, M., … Bal, H. E. (2014). A distributed computing approach to improve the performance of the Parallel Ocean Program (v2.1). Geoscientific Model Development, 7(1), 267–281. https://doi.org/10.5194/gmd-7-267-2014
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