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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.; Gimenez Canovas, D.; Barreto, M. (2014). Automatic routine tuning to represent landform attributes on multicore and multi-GPU systems. Journal of Supercomputing. 70(2):733-745. doi:10.1007/s11227-014-1191-0

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/59312

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Title: Automatic routine tuning to represent landform attributes on multicore and multi-GPU systems
Author:
UPV Unit: Universitat Politècnica de València. Departamento de Sistemas Informáticos y Computación - Departament de Sistemes Informàtics i Computació
Issued date:
Abstract:
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 ...[+]
Subjects: Auto-tuning , Landform representation , Parallel computing , Performance estimation , Multicore , Multi-GPU
Copyrigths: Cerrado
Source:
Journal of Supercomputing. (issn: 0920-8542 )
DOI: 10.1007/s11227-014-1191-0
Publisher:
Springer Verlag (Germany)
Publisher version: http://dx.doi.org/10.1007/s11227-014-1191-0
Description: The final publication is available at Springer via http://dx.doi.org/10.1007/s11227-014-1191-0
Thanks:
This work has been partially supported by European Union ERDF and Spanish Government through TEC2012-38142-C04 project.
Type: Artículo

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