Archivio Istituzionale della RicercaThe Weather Research and Forecasting (WRF) Model is a numerical weather prediction system designed for both atmospheric research and operational forecasting needs. WRF requires a large amount of CPU power which increases drastically if WRF is used to model a big geographical area with a high resolution. To satisfy the computational demand WRF requires large number of computing resources through infrastructures such as clusters in grid or cloud. In this paper the performance analysis of different WRF simulations to the Amazon Web Services (AWS) cloud computing environment (single node and cluster) compared to that of a HCP cluster is presented.
Performance Analysis of WRF Simulations in a Public Cloud and HPC Environment / Goga, Klodiana; Parodi, Antonio; Ruiu, Pietro; Terzo, Olivier. - (2018), pp. 384-396. (Intervento presentato al convegno Complex, Intelligent, and Software Intensive Systems: Proceedings of the 11th International Conference on Complex, Intelligent, and Software Intensive Systems (CISIS-2017)) [10.1007/978-3-319-61566-0_35].
Performance Analysis of WRF Simulations in a Public Cloud and HPC Environment
RUIU, PIETRO;TERZO, OLIVIER
2018
Abstract
The Weather Research and Forecasting (WRF) Model is a numerical weather prediction system designed for both atmospheric research and operational forecasting needs. WRF requires a large amount of CPU power which increases drastically if WRF is used to model a big geographical area with a high resolution. To satisfy the computational demand WRF requires large number of computing resources through infrastructures such as clusters in grid or cloud. In this paper the performance analysis of different WRF simulations to the Amazon Web Services (AWS) cloud computing environment (single node and cluster) compared to that of a HCP cluster is presented.
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https://hdl.handle.net/11583/2679553
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