Electronic Resource
Optimizing Fully Anisotropic Elastic Propagation on 2nd Generation Intel Xeon Phi Processors
العنوان: | Optimizing Fully Anisotropic Elastic Propagation on 2nd Generation Intel Xeon Phi Processors |
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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: | 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 From OAIster®, provided by the OCLC Cooperative. |
رقم الانضمام: | edsoai.on1004629841 |
قاعدة البيانات: | OAIster |
الوصف غير متاح. |