Energy Consumption Studies of WRF Executions with the LIMITLESS Monitor

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dc.contributor.authorBustos, A.
dc.contributor.authorCascajo, A.
dc.contributor.authorRubio-Montero, A.J.
dc.contributor.authorGarcía-Bustamante, E.
dc.contributor.authorMoríñigo, J.A.
dc.contributor.authorSingh, D.E.
dc.contributor.authorCarretero, J.
dc.contributor.authorMayo-García, R.
dc.date.accessioned2023-12-04T08:46:39Z
dc.date.available2023-12-04T08:46:39Z
dc.date.issued2022
dc.description.abstractWe present a study of the performance of the Weather Research and Forecasting [WRF] code under several hardware con gurations in an HPC environment. The WRF code is a standard code for weather prediction, used in several elds of science and industry. The metrics used in this case are the execution time of the run and the energy consumption of the simulation obtained with the LIMITLESS monitor, which is the main novelty of this work. With these results it is possible to quantify the energy savings of WRF run con gurations, which include variations in the number of computing nodes and in the number of processes per node. It is found out that a slight increase in the computing time can drive to a noticeable reduction in the energy consumption of the cluster.es_ES
dc.identifier.citationBustos, A. et al. (2022). Energy Consumption Studies of WRF Executions with the LIMITLESS Monitor. In: Gitler, I., Barrios Hernández, C.J., Meneses, E. (eds) High Performance Computing. CARLA 2021. Communications in Computer and Information Science, vol 1540. Springer, Chames_ES
dc.identifier.doihttp://dx.doi.org/10.1007/978-3-031-04209-6_2
dc.identifier.urihttps://hdl.handle.net/20.500.14855/1957
dc.language.isoenges_ES
dc.publisherSpringeres_ES
dc.rights.accessRightsopen accesses_ES
dc.subjectHPC optimizationes_ES
dc.subjectWRFes_ES
dc.subjectLIMITLESSes_ES
dc.titleEnergy Consumption Studies of WRF Executions with the LIMITLESS Monitores_ES
dc.typebook partes_ES

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