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High performance lattice reduction on heterogeneous computing platform

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High performance lattice reduction on heterogeneous computing platform

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Jozsa, CM.; Domene Oltra, F.; Vidal Maciá, AM.; Piñero Sipán, MG.; González Salvador, A. (2014). High performance lattice reduction on heterogeneous computing platform. Journal of Supercomputing. 70(2):772-785. doi:10.1007/s11227-014-1201-2

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/49342

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Title: High performance lattice reduction on heterogeneous computing platform
Author:
UPV Unit: Universitat Politècnica de València. Instituto Universitario de Telecomunicación y Aplicaciones Multimedia - Institut Universitari de Telecomunicacions i Aplicacions Multimèdia
Universitat Politècnica de València. Departamento de Sistemas Informáticos y Computación - Departament de Sistemes Informàtics i Computació
Universitat Politècnica de València. Departamento de Comunicaciones - Departament de Comunicacions
Issued date:
Abstract:
The lattice reduction (LR) technique has become very important in many engineering fields. However, its high complexity makes difficult its use in real-time applications, especially in applications that deal with large ...[+]
Subjects: Lattice reduction , LLL , GPU , CUDA , OpenMP
Copyrigths: Reserva de todos los derechos
Source:
Journal of Supercomputing. (issn: 0920-8542 )
DOI: 10.1007/s11227-014-1201-2
Publisher:
Springer Verlag (Germany)
Publisher version: http://dx.doi.org/10.1007/s11227-014-1201-2
Description: The final publication is available at Springer via http://dx.doi.org/10.1007/s11227-014-1201-2
Thanks:
Financial support for this study was provided by grants TAMOP-4.2.1./B-11/2/KMR-2011-0002, TAMOP-4.2.2/B-10/1-2010-0014 from the Pazmany Peter Catholic University, European Union ERDF, Spanish Government through ...[+]
Type: Artículo

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