• DocumentCode
    583003
  • Title

    Auto-Tuning Methodology to Represent Landform Attributes on Multicore and Multi-GPU Systems

  • Author

    Boratto, Murilo ; Alonso, Pedro ; Giménez, Domingo

  • Author_Institution
    Dept. de Sist. Informaticos y Comput. (DSIC), Univ. Politec. de Valencia (UPV), Valencia, Spain
  • fYear
    2012
  • fDate
    17-19 Oct. 2012
  • Firstpage
    9
  • Lastpage
    16
  • 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 user´s experience. This paper aims to explore programming routines that can be automatically adapted to the computational system conditions, making possible to use Auto-Tuning methodology to represent landform attributes on multicores and multi-GPU systems.
  • Keywords
    graphics processing units; multiprocessing systems; tuning; auto-tuning methodology; landform attributes; multiGPU systems; multicore systems; programming routines; Computational modeling; Estimation; Graphics processing units; Instruction sets; Mathematical model; Multicore processing; Polynomials; auto-tuning; landform attributes; multi-GPU; multicores;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Systems (WSCAD-SSC), 2012 13th Symposium on
  • Conference_Location
    Petropolis
  • Print_ISBN
    978-1-4673-4468-5
  • Type

    conf

  • DOI
    10.1109/WSCAD-SSC.2012.12
  • Filename
    6391758