GP-SWAT (v1.0): a two-level graph-based parallel simulation tool for the SWAT model
نویسندگان
چکیده
Abstract. High-fidelity and large-scale hydrological models are increasingly used to investigate the impacts of human activities climate change on water availability quality. However, detailed representations real-world systems processes contained in these inevitably lead prohibitively high execution times, ranging from minutes days. Such become computationally prohibitive or even infeasible when large iterative model simulations involved. In this study, we propose a generic two-level (i.e., watershed- subbasin-level) parallelization schema reduce run time expensive applications through combination spatial decomposition graph-parallel Pregel algorithm. Taking Soil Water Assessment Tool (SWAT) as an example, implemented tool named GP-SWAT, enabling watershed-level subbasin-level Spark computer cluster. We then evaluated GP-SWAT two sets experiments demonstrate ability accelerate single different environments. each test set, was applied for parallel simulation four synthetic with input/output (I/O) burdens. The single-model results showed that can obtain 2.3–5.8-times speedup. For multiple parallelization, yielded remarkable speedup 8.34–27.03 times. both cases, ratios increased increasing computation burden. experimental indicate effectively solve high-computational-demand problems SWAT model. addition, scalable flexible tool, it be diverse environments, commodity running Microsoft Windows operating system cluster consisting number computational nodes. Moreover, is possible apply other subbasin-based acyclic domains alleviate I/O demands optimize performance.
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ژورنال
عنوان ژورنال: Geoscientific Model Development
سال: 2021
ISSN: ['1991-9603', '1991-959X']
DOI: https://doi.org/10.5194/gmd-14-5915-2021