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dc.contributor | Universitat Politècnica de Catalunya. Departament d'Arquitectura de Computadors |
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dc.contributor | Universitat Politècnica de Catalunya. CAP - Grup de Computació d'Altes Prestacions |
dc.contributor.author | Subasi, Omer |
dc.contributor.author | Di, Sheng |
dc.contributor.author | Bautista Gómez, Leonardo |
dc.contributor.author | Balaprakash, Prasanna |
dc.contributor.author | Unsal, Osman Sabri |
dc.contributor.author | Labarta Mancho, Jesús José |
dc.contributor.author | Cristal Kestelman, Adrián |
dc.contributor.author | Cappello, Franck |
dc.date | 2016 |
dc.identifier.citation | Subasi, O., Di, S., Bautista, L., Balaprakash, P., Unsal, O., Labarta, J., Cristal, A., Cappello, F. Spatial support vector regression to detect silent errors in the exascale era. A: IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing. "2016 16th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing, CCGrid 2016: 16-19 May 2016, Cartagena, Colombia: proceedings". Cartagena: Institute of Electrical and Electronics Engineers (IEEE), 2016, p. 413-424. |
dc.identifier.citation | 978-1-5090-2452-0 |
dc.identifier.citation | 10.1109/CCGrid.2016.33 |
dc.identifier.uri | http://hdl.handle.net/2117/97167 |
dc.language.iso | eng |
dc.publisher | Institute of Electrical and Electronics Engineers (IEEE) |
dc.relation | http://ieeexplore.ieee.org/document/7515717/ |
dc.relation | info:eu-repo/grantAgreement/ES/1PE/TIN2015-65316-P |
dc.rights | info:eu-repo/semantics/openAccess |
dc.subject | Àrees temàtiques de la UPC::Informàtica::Arquitectura de computadors |
dc.subject | High performance computing |
dc.subject | Benchmarking |
dc.subject | Budget control |
dc.subject | Cluster computing |
dc.subject | Distributed computer systems |
dc.subject | Errors |
dc.subject | Fault tolerance |
dc.subject | Support vector machines |
dc.subject | Detection sensitivity |
dc.subject | Exascale |
dc.subject | High performance computing systems |
dc.subject | Increasing capacities |
dc.subject | Silent data corruptions |
dc.subject | State-of-the-art techniques |
dc.subject | Support vector machine regressions |
dc.subject | Support vector regression (SVR) |
dc.subject | Càlcul intensiu (Informàtica) |
dc.title | Spatial support vector regression to detect silent errors in the exascale era |
dc.type | info:eu-repo/semantics/submittedVersion |
dc.type | info:eu-repo/semantics/conferenceObject |
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