Coarse Grained Parallelism Optimization for Multicore Architectures: The ALMA Project Approach

  • George Goulas
  • Christos Gogos
  • Christos Valouxis
  • Panayiotis Alefragis
  • Nikolaos Voros
Conference paper

DOI: 10.1007/978-3-642-36812-7_33

Part of the Lecture Notes in Computer Science book series (LNCS, volume 7806)
Cite this paper as:
Goulas G., Gogos C., Valouxis C., Alefragis P., Voros N. (2013) Coarse Grained Parallelism Optimization for Multicore Architectures: The ALMA Project Approach. In: Brisk P., de Figueiredo Coutinho J.G., Diniz P.C. (eds) Reconfigurable Computing: Architectures, Tools and Applications. ARC 2013. Lecture Notes in Computer Science, vol 7806. Springer, Berlin, Heidelberg

Abstract

In this paper, the coarse grained parallelism optimization step of the ALMA EU FP7 project is discussed. The current results look promising, as the possibility to use Integer Programming and provide optimal results to the problem model seems feasible and efficient.

Keywords

Coarse grain parallelization Scliab Integer Programming 

Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • George Goulas
    • 1
  • Christos Gogos
    • 2
  • Christos Valouxis
    • 1
  • Panayiotis Alefragis
    • 1
  • Nikolaos Voros
    • 1
  1. 1.Technological Educational Institute of MesolonghiGreece
  2. 2.Technological Educational Institute of EpirusGreece

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