Manufacturing of weather forecasting simulations on high performance infrastructures
| Autor: | Ladislav Hluchy, M. Dobrucky, Binh Minh Nguyen, Viera Sipkova, Juraj Bartok |
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| Rok vydání: | 2016 |
| Předmět: |
Computer science
business.industry Real-time computing Weather forecasting 020206 networking & telecommunications 010103 numerical & computational mathematics 02 engineering and technology Grid computer.software_genre Numerical weather prediction Supercomputer 01 natural sciences Workflow Software Weather Research and Forecasting Model 0202 electrical engineering electronic engineering information engineering 0101 mathematics business computer Software configuration management |
| Zdroj: | eScience |
| Popis: | The Weather Research and Forecasting (WRF) model represents a mesoscale numerical weather prediction system designed for both the atmospheric research and operational forecasting use. WRF offers several computationally efficient platforms while providing serial and parallel models running with or without multi-threading. The main goal of the work described in this paper was to develop management software tools facilitating the execution of WRF simulations on High Performance Computing (HPC) infrastructures. The management tools enable easily to carry out the complex simulation process, representing a workflow of central jobs, i.e. preprocessing, modeling and post-processing, which are running primarily on our local HPC cluster with the possibility to exploit also the computational power of the European Grid infrastructure. The second objective of this work was the investigation of parallel MPI and hybrid parallel MPI+OpenMP WRF models using the created tools to run simulations. The aim was to find out the most suitable combination of hardware and software configuration setting for the realization of the WRF simulation process with the given input scenario. Performance results of real simulation processes running on various hardware configurations of the cluster are presented. |
| Databáze: | OpenAIRE |
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