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Automatic routine tuning to represent landform attributes on multicore and multi-GPU systems

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Automatic routine tuning to represent landform attributes on multicore and multi-GPU systems

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Do Carmo Boratto, M.; Alonso-Jordá, P.; Giménez Cánovas, D.; Barreto, M. (2014). Automatic routine tuning to represent landform attributes on multicore and multi-GPU systems. Journal of Supercomputing. 70(2):733-745. https://doi.org/10.1007/s11227-014-1191-0

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Título: Automatic routine tuning to represent landform attributes on multicore and multi-GPU systems
Autor: DO CARMO BORATTO, MURILO Alonso-Jordá, Pedro Giménez Cánovas, Domingo Barreto, Marcos
Entidad UPV: Universitat Politècnica de València. Departamento de Sistemas Informáticos y Computación - Departament de Sistemes Informàtics i Computació
Fecha difusión:
Resumen:
Auto-tuning techniques have been used in the design of routines in recent years. The goal is to develop routines which automatically adapt to the conditions of the computational system in such a way that efficient executions ...[+]
Palabras clave: Auto-tuning , Landform representation , Parallel computing , Performance estimation , Multicore , Multi-GPU
Derechos de uso: Cerrado
Fuente:
Journal of Supercomputing. (issn: 0920-8542 )
DOI: 10.1007/s11227-014-1191-0
Editorial:
Springer Verlag (Germany)
Versión del editor: http://dx.doi.org/10.1007/s11227-014-1191-0
Código del Proyecto:
info:eu-repo/grantAgreement/MINECO//TEC2012-38142-C04-01/ES/PROCESADO DISTRIBUIDO Y COLABORATIVO DE SEÑALES SONORAS: CONTROL ACTIVO/
Descripción: The final publication is available at Springer via http://dx.doi.org/10.1007/s11227-014-1191-0
Agradecimientos:
This work has been partially supported by European Union ERDF and Spanish Government through TEC2012-38142-C04 project.
Tipo: Artículo

References

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