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

  • Murilo Boratto Universidad Politécnica de Valencia
  • Pedro Alonso Universidad Politécnica de Valencia
  • Domingo Giménez Universidad de Murcia

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: Instruction sets, Mathematical model, Graphics processing units, Multicore processing, Computational modeling, Polynomials, Estimation
Published
2012-10-17
How to Cite

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BORATTO, Murilo; ALONSO, Pedro; GIMÉNEZ, Domingo. Auto-Tuning Methodology to Represent Landform Attributes on Multicore and Multi-GPU Systems. In: SYMPOSIUM ON HIGH PERFORMANCE COMPUTING SYSTEMS (SSCAD), 13. , 2012, Petrópolis. Anais [...]. Porto Alegre: Sociedade Brasileira de Computação, 2012 . p. 9-16.