Auto-tuning methodology to represent landform attributes on multicore and multi-GPU systems

Authors:
Murilo Boratto;Pedro Alonso;Domingo Giménez;Marcos Barreto;Karolyne Oliveira
Affiliations:
Universidade do Estado da Bahia, Salvador, Bahia, Brazil;Universidad Politécnica de Valencia, Valencia, Spain;Universidad de Murcia, Murcia, Spain;Universidade Federal da Bahia, Salvador, Bahia, Brazil;Universidade Federal de Pernambuco, Recife, Pernambuco, Brazil
Venue:
Proceedings of the 2013 International Workshop on Programming Models and Applications for Multicores and Manycores
Year:
2013

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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 methodology to represent landform attributes on multicores and multi-GPU systems.