Enhancing Energy Production with Exascale HPC Methods

Cita com:
hdl:2117/100183
Document typeConference lecture
Defense date2016
Rights accessOpen Access
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ProjectHPC4E - HPC for Energy (EC-H2020-689772)
DESARROLLOS COMPUTACIONALES PARA EL RETO DE LA EXAESCALA 2 (MINECO-TIN2015-63562-R)
DESARROLLOS COMPUTACIONALES PARA EL RETO DE LA EXAESCALA 2 (MINECO-TIN2015-63562-R)
Abstract
High 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.
CitationCamata, José J. [et al.]. Enhancing Energy Production with Exascale HPC Methods. A: 2 016 LatinAmerican High Performance Computing Conference (CARLA), México, Aug 29-Sep 02, 2016. "". 2016.
Publisher versionhttps://link.springer.com/chapter/10.1007/978-3-319-57972-6_17
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