Abstract
Abstract In the paper, we try to evaluate the energy consumption of meteorological applications on meteorological cloud of on different kinds of processors. We take WRF (Weather Research and Forecasting model) model as the typical model. Three major factors are including in the evaluation: the energy consumption, the execution time, and the parallelism. The moldable parallel tasks have a scope of parallelisms. But after the job has an execution state, and the parallelism cannot be changed during the execution. Different to most of past research, our system support slots time and every job needs a few slot times to execute it. We give a detailed analysis of DVFS (Dynamic Voltage and Frequency Scaling) model for WRF and evaluate the different performance of three kinds of CPUs in different aspects, and at last, based the analysis of the attributes of the three CPUs and the nonlinear speedup of WRF under different numbers of resources, simulations result are given to address the energy consumption of WRF under different environments. We hope our research can help us to enhance the scheduling method of parallel tasks.KeywordsMoldable parallel tasksEnergy consumptionWRFSimulationsEnergy efficiency
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
