Parallel algorithm for landform attributes representation on multicore and Multi-GPU systems

Authors:
Murilo Boratto;Pedro Alonso;Carla Ramiro;Marcos Barreto;Leandro Coelho
Affiliations:
Núcleo de Arquitetura de Computadores e Sistemas Operacionais (ACSO), Universidade do Estado da Bahia (UNEB), Salvador, Bahia, Brazil;Departamento de Sistemas Informaticos y Computación (DSIC), Universidad Politécnica de Valencia (UPV), Valencia, España;Departamento de Sistemas Informaticos y Computación (DSIC), Universidad Politécnica de Valencia (UPV), Valencia, España;Laboratório de Sistemas Distribuídos (LaSiD), Universidade Federal da Bahia (UFBA), Salvador, Bahia, Brazil;Núcleo de Arquitetura de Computadores e Sistemas Operacionais (ACSO), Universidade do Estado da Bahia (UNEB), Salvador, Bahia, Brazil
Venue:
ICCSA'12 Proceedings of the 12th international conference on Computational Science and Its Applications - Volume Part I
Year:
2012

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Abstract

Mathematical models are often used to simplify landform representation. Its importance is due to the possibility of describing phenomena by means of mathematical models from a data sample. High processing power is needed to represent large areas with a satisfactory level of details. In order to accelerate the solution of complex problems, it is necessary to combine two basic components in heterogeneous systems formed by a multicore with one or more GPUs. In this paper, we present a methodology to represent landform attributes on multicore and multi-GPU systems using high performance computing techniques for efficient solution of two-dimensional polynomial regression model that allow to address large problem instances.