Enhancing Energy Production with Exascale HPC Methods

dc.contributor.authorMayo-García, Rafael.
dc.contributor.authoret al.
dc.date.accessioned2020-02-12T12:36:11Z
dc.date.available2020-02-12T12:36:11Z
dc.date.issued2017
dc.description.abstractHigh Performance Computing (HPC) resources have become the key actor for achieving more ambitious challenges in many disciplines. In this step beyond, an explosion on the available parallelism and the use of special purpose processors are crucial. With such a goal, the HPC4E project applies new exascale HPC techniques to energy industry simulations, customizing them if necessary, and going beyond the state-of-the-art in the required HPC exascale simulations for different energy sources. In this paper, a general overview of these methods is presented as well as some specific preliminary results.es_ES
dc.description.sponsorshipHPC4E Project (www.hpc4e.eu), grant agreement no 689772. The Spanish Ministry of Economy and Competitiveness under the CODEC2 project (TIN2015-63562-R)es_ES
dc.identifier.citationR. Mayo-García et al. Enhancing Energy Production with Exascale HPC Methods. In: Barrios Hernández C., Gitler I., Klapp J. (eds) High Performance Computing. CARLA 2016. Communications in Computer and Information Science, vol 697. 233-246 (2017). Springeres_ES
dc.identifier.doihttp://dx.doi.org/10.1007/978-3-319-57972-6_17
dc.identifier.urihttps://hdl.handle.net/20.500.14855/698
dc.language.isoenges_ES
dc.publisherSpringeres_ES
dc.rights.accessRightsembargoed accesses_ES
dc.subjectHPCes_ES
dc.subjectWind energyes_ES
dc.subjectCombustiones_ES
dc.subjectHydrocarbones_ES
dc.titleEnhancing Energy Production with Exascale HPC Methodses_ES
dc.typeconference outputes_ES

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