Applying future Exascale HPC methodologies in the energy sector

Vista senzilla d'ítem
dc.contributor.authorCamata, José J.
dc.contributor.authorCela, José M.
dc.contributor.authorCosta, Danilo
dc.contributor.authorCoutinho, Alvaro LGA
dc.contributor.authorFernández-Galisteo, Daniel
dc.contributor.authorJiménez, Carmen
dc.contributor.authorKourdioumov, Vadim
dc.contributor.authorMattoso, Marta
dc.contributor.authorMayo-García, Rafael
dc.contributor.authorMiras, Thomas
dc.contributor.authorMoríñigo, José A.
dc.contributor.authorNavarro, Jose
dc.contributor.authorOliveira, Daniel de
dc.contributor.authorRodríguez-Pascual, Manuel
dc.contributor.authorSilva, Vítor
dc.contributor.authorSouza, Renan
dc.contributor.authorValduriez, Patrick
dc.contributor.otherBarcelona Supercomputing Center
dc.date.accessioned2016-10-20T09:01:51Z
dc.date.available2016-10-20T09:01:51Z
dc.date.issued2016-09-26
dc.description.abstractThe appliance of new exascale HPC techniques to energy industry simulations is absolutely needed nowadays. In this sense, the common procedure is to customize these techniques to the specific energy sector they are of interest in order to go beyond the state-of-the-art in the required HPC exascale simulations. With this aim, the HPC4E project is developing new exascale methodologies to three different energy sources that are the present and the future of energy: wind energy production and design, efficient combustion systems for biomass-derived fuels (biogas), and exploration geophysics for hydrocarbon reservoirs. In this work, the general exascale advances proposed as part of HPC4E and its outcome to specific results in different domains are presented.
dc.description.sponsorshipThe research leading to these results has received funding from the European Union's Horizon 2020 Programme (2014-2020) under the HPC4E Project (www.hpc4e.eu), grant agreement n° 689772, the Spanish Ministry of Economy and Competitiveness under the CODEC2 project (TIN2015-63562-R), and from the Brazilian Ministry of Science, Technology and Innovation through Rede Nacional de Pesquisa (RNP). Computer time on Endeavour cluster is provided by the Intel Corporation, which enabled us to obtain the presented experimental results in uncertainty quantification in seismic imaging.
dc.description.versionPostprint (author's final draft)
dc.format.extent10 p.
dc.identifier.citationCamata, José J. [et al.]. Applying future Exascale HPC methodologies in the energy sector. A: Russian Supercomputing Days, September 26-27, 2016, Moscow. "". Moscow: 2016, p. 9-19.
dc.identifier.urihttps://hdl.handle.net/2117/90905
dc.language.isoeng
dc.relation.projectidinfo:eu-repo/grantAgreement/EC/H2020/689772/EU/HPC for Energy/HPC4E
dc.relation.projectidinfo:eu-repo/grantAgreement/MINECO//TIN2015-63562-R/ES/DESARROLLOS COMPUTACIONALES PARA EL RETO DE LA EXAESCALA 2/
dc.rights.accessOpen Access
dc.subjectÀrees temàtiques de la UPC::Energies
dc.subject.lcshHydrocarbon processing
dc.subject.lcshEnergy sources
dc.subject.lcshAlgorithms and architectures for advanced scientific computing
dc.subject.lemacSupercomputadors
dc.subject.lemacHidrocarburs
dc.subject.otherExascale
dc.subject.otherHPC
dc.subject.otherWind energy
dc.subject.otherBiomass
dc.subject.otherHydrocarbon
dc.titleApplying future Exascale HPC methodologies in the energy sector
dc.typeConference lecture
dspace.entity.typePublication
local.citation.contributorRussian Supercomputing Days, September 26-27, 2016, Moscow
local.citation.endingPage19
local.citation.pubplaceMoscow
local.citation.startingPage9

Fitxers

Paquet original

Mostrant 1 - 1 de 1
Miniatura
Nom:
Applying future Exascale HPC methodologies in the energy sector.pdf
Mida:
441.72 KB
Format:
Adobe Portable Document Format
Descripció:

Col·leccions

Ponències/Comunicacions de congressos