Fast parallel α-stable distribution function evaluation and parameter estimation using OpenCL in GPGPUs

This version of the article has been accepted for publication, after peer review (when applicable) and is subject to Springer Nature’s AM terms of use, but is not the Version of Record and does not reflect post-acceptance improvements, or any corrections. The Version of Record is available online at...

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Detalles Bibliográficos
Autores: Julián Moreno, Guillermo, Royuela del Val, Javier, Simmross Wattenberg, Federico, López de Vergara Méndez, Jorge Enrique, González Martínez, Iván, Pedro Sánchez, Luis de
Tipo de recurso: artículo
Fecha de publicación:2016
País:España
Institución:Universidad Autónoma de Madrid
Repositorio:Biblos-e Archivo. Repositorio Institucional de la UAM
Idioma:inglés
OAI Identifier:oai:repositorio.uam.es:10486/710697
Acceso en línea:http://hdl.handle.net/10486/710697
https://dx.doi.org/10.1007/s11222-016-9691-9
Access Level:acceso abierto
Palabra clave:Gaussian quadrature
α-stable distribution
Parallel algorithms
Numerical algorithms
OpenCL
GPGPU
Telecomunicaciones
Descripción
Sumario:This version of the article has been accepted for publication, after peer review (when applicable) and is subject to Springer Nature’s AM terms of use, but is not the Version of Record and does not reflect post-acceptance improvements, or any corrections. The Version of Record is available online at: http://dx.doi.org/10.1007/s11222-016-9691-9.

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