Optimizing Fully Anisotropic Elastic Propagation on 2nd Generation Intel Xeon Phi Processors

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dc.contributor	Barcelona Supercomputing Center
dc.contributor.author	Farres, Albert
dc.contributor.author	Duran, A.
dc.contributor.author	Rosas, Claudia
dc.contributor.author	Hanzich, Mauricio
dc.contributor.author	Yount, C.
dc.contributor.author	Fernandez, S.
dc.date	2017-06-12
dc.identifier.citation	Farres, A. [et al.]. Optimizing Fully Anisotropic Elastic Propagation on 2nd Generation Intel Xeon Phi Processors. A: 79th EAGE Conference and Exhibition 2017 (Session: Computational Geosciences). "79th EAGE Conference and Exhibition 2017". 2017.
dc.identifier.citation	10.3997/2214-4609.201700497
dc.identifier.uri	http://hdl.handle.net/2117/107060
dc.language.iso	eng
dc.relation	http://www.earthdoc.org/publication/publicationdetails/?publication=88215
dc.relation	info:eu-repo/grantAgreement/EC/H2020/689772/EU/HPC for Energy/HPC4E
dc.rights	info:eu-repo/semantics/openAccess
dc.subject	Àrees temàtiques de la UPC::Enginyeria electrònica
dc.subject	Wave mechanics
dc.subject	OpenMP
dc.subject	3D full-wave field modelling-based applications
dc.subject	Wave propagation
dc.subject	Intel Xeon Phi x200 processor family
dc.subject	Mecànica ondulatòria
dc.subject	OpenMP
dc.title	Optimizing Fully Anisotropic Elastic Propagation on 2nd Generation Intel Xeon Phi Processors
dc.type	info:eu-repo/semantics/submittedVersion
dc.type	info:eu-repo/semantics/conferenceObject
dc.description.abstract	This work shows several optimization strategies evaluated and applied to an elastic wave propagation engine, based on a Fully Staggered Grid, running on the latest Intel Xeon Phi processors, the second generation of the product (code-named Knights Landing). Our fully optimized code shows a speed-up of about 4x when compared with the same algorithm optimized for the previous generation processor.
dc.description.abstract	Authors also thank Repsol for the permission to publish the present research, carried out at the Repsol-BSC Research Center. This work has received funding from the European Union's Horizon 2020 Programme (2014-2020) and from the Brazilian Ministry of Science, Technology and Innovation through Rede Nacional de Pesquisa (RNP) under the HPC4E Project (www.hpc4e.eu), grant agreement n.◦ 689772. * Other brands and names are the property of their respective owners.
dc.description.abstract	Peer Reviewed

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