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

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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 are obtained independently of the end-user experience. This paper aims to explore programming routines that can be automatically adapted to the computational system conditions, making possible to use auto-tuning to represent landform attributes on multicores and multi-GPU systems using high- performance computing techniques for efficient solution of two-dimensional polynomial regression models that allow large problem instances to be addressed.

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Acknowledgments

This work has been partially supported by European Union ERDF and Spanish Government through TEC2012-38142-C04 project.

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Authors and Affiliations

  1. Núcleo de Arquitetura de Computadores e Sistemas Operacionais, Universidade do Estado da Bahia, Salvador, BA, Brazil

    Murilo Boratto

  2. Departamento de Sistemas Informáticos y Computación, Universidad Politécnica de Valencia, Valencia, Spain

    Pedro Alonso

  3. Departamento de Sistemas Informáticos, Universidad de Murcia, Murcia, Spain

    Domingo Gimenéz

  4. Laboratório de Sistemas Distribuídos, Universidade Federal da Bahia, Salvador, BA, Brazil

    Marcos Barreto

Authors
  1. Murilo Boratto
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  2. Pedro Alonso
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  3. Domingo Gimenéz
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  4. Marcos Barreto
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Corresponding author

Correspondence to Murilo Boratto.

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Boratto, M., Alonso, P., Gimenéz, D. et al. Automatic routine tuning to represent landform attributes on multicore and multi-GPU systems. J Supercomput 70, 733–745 (2014). https://doi.org/10.1007/s11227-014-1191-0

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  • DOI: https://doi.org/10.1007/s11227-014-1191-0

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