Observatorio de I+D+i UPM

Memorias de investigación
Ponencias en congresos:
Towards Automatic Learning of Heuristics for Mechanical Transformations of Procedural Code.
Año:2016
Áreas de investigación
  • Ingenierías
Datos
Descripción
The current trend in next-generation exascale systems goes towards integrating a wide range of specialized (co-)processors into traditional supercomputers. However, the integration of different specialized devices increases the degree of heterogeneity and the complexity in programming such type of systems. Due to the efficiency of heterogeneous systems in terms of Watt and FLOPS per surface unit, opening the access of heterogeneous platforms to a wider range of users is an important problem to be tackled. In order to bridge the gap between heterogeneous systems and programmers, in this paper we propose a machine learning-based approach to learn heuristics for defining transformation strategies of a program transformation system. Our approach proposes a novel combination of reinforcement learning and classification methods to efficiently tackle the problems inherent to this type of systems. Preliminary results demonstrate the suitability of the approach for easing the programmability of heterogeneous systems.
Internacional
Si
Nombre congreso
First International Workshop on Program Transformation for Programmability in Heterogeneous Architectures (PROHA 2016)
Tipo de participación
OTHERS
Lugar del congreso
Barcelona
Revisores
Si
ISBN o ISSN
2075-2180
DOI
Fecha inicio congreso
12/03/2016
Fecha fin congreso
12/03/2016
Desde la página
1
Hasta la página
9
Título de las actas
Proceedings of the First International Workshop on Program Transformation for Programmability in Heterogeneous Architectures (PROHA 2016)
Esta actividad pertenece a memorias de investigación
Participantes
  • Autor: Guillermo Vigueras (IMDEA Software)
  • Autor: Manuel Carro Liñares (UPM)
  • Autor: Salvador Tamarit (IMDEA Software)
  • Autor: Julio Mariño Carballo (UPM)
Grupos de investigación, Departamentos, Centros e Institutos de I+D+i relacionados
  • Creador: Departamento: Lenguajes y Sistemas Informáticos e Ingeniería de Software
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