Electronic Resource

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

التفاصيل البيبلوغرافية
العنوان: Optimizing Fully Anisotropic Elastic Propagation on 2nd Generation Intel Xeon Phi Processors
المؤلفون: Barcelona Supercomputing Center, Farres, Albert, Duran, A., Rosas, Claudia, Hanzich, Mauricio, Yount, C., Fernandez, S.
بيانات النشر: 2017-06-12
نوع الوثيقة: Electronic Resource
مستخلص: 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.
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.
Peer Reviewed
Postprint (author's final draft)
مصطلحات الفهرس: Àrees temàtiques de la UPC::Enginyeria electrònica, Wave mechanics, OpenMP, 3D full-wave field modelling-based applications, Wave propagation, Intel Xeon Phi x200 processor family, Mecànica ondulatòria, Conference lecture
URL: http://hdl.handle.net/2117/107060
http://www.earthdoc.org/publication/publicationdetails/?publication=88215
http://www.earthdoc.org/publication/publicationdetails/?publication=88215
info:eu-repo/grantAgreement/EC/H2020/689772/EU/HPC for Energy/HPC4E
الاتاحة: Open access content. Open access content
Open Access
ملاحظة: 6 p.
application/pdf
English
Other Numbers: HGF oai:upcommons.upc.edu:2117/107060
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.
10.3997/2214-4609.201700497
1004629841
المصدر المساهم: UNIV POLITECNICA DE CATALUNYA
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رقم الانضمام: edsoai.on1004629841
قاعدة البيانات: OAIster