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International Conference on Model Driven Engineering Languages and Systems

MODELS 2013: Model-Driven Engineering Languages and Systems pp 757–773Cite as

Model-Driven Approach for Supporting the Mapping of Parallel Algorithms to Parallel Computing Platforms

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Part of the book series: Lecture Notes in Computer Science ((LNPSE,volume 8107))

Abstract

The trend from single processor to parallel computer architectures has increased the importance of parallel computing. To support parallel computing it is important to map parallel algorithms to a computing platform that consists of multiple parallel processing nodes. In general different alternative mappings can be defined that perform differently with respect to the quality requirements for power consumption, efficiency and memory usage. The mapping process can be carried out manually for platforms with a limited number of processing nodes. However, for exascale computing in which hundreds of thousands of processing nodes are applied, the mapping process soon becomes intractable. To assist the parallel computing engineer we provide a model-driven approach to analyze, model, and select feasible mappings. We describe the developed toolset that implements the corresponding approach together with the required metamodels and model transformations. We illustrate our approach for the well-known complete exchange algorithm in parallel computing.

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Author information

Authors and Affiliations

  1. Dept. of Computer Engineering, Hacettepe University, Ankara, Turkey

    Ethem Arkın & Kayhan M. İmre

  2. Dept. of Computer Engineering, Bilkent University, Ankara, Turkey

    Bedir Tekinerdogan

Authors
  1. Ethem Arkın
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  2. Bedir Tekinerdogan
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  3. Kayhan M. İmre
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Editor information

Editors and Affiliations

  1. Faculdade de Ciências e Tecnologia, Departamento de Informática, Universidade Nova de Lisboa, 2829-516, Caparica, Portugal

    Ana Moreira

  2. Institut für Mathematik, fortiss / Technische Universität München, Guerickestraße 25, 80805, München, Germany

    Bernhard Schätz

  3. Department of Computer Science, University of Alabama, Box 870290, 35487-0290, Tuscaloosa, AL, USA

    Jeff Gray

  4. ETSI Informática, Universidad de Málaga, Campus de Teatinos, Bulevar Louis Pasteur 35, 29071, Málaga, Spain

    Antonio Vallecillo

  5. School of Computing and Information Sciences, College of Engineering and Computing, Florida International University, 33199, Miami, FL, USA

    Peter Clarke

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© 2013 Springer-Verlag Berlin Heidelberg

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Arkın, E., Tekinerdogan, B., İmre, K.M. (2013). Model-Driven Approach for Supporting the Mapping of Parallel Algorithms to Parallel Computing Platforms. In: Moreira, A., Schätz, B., Gray, J., Vallecillo, A., Clarke, P. (eds) Model-Driven Engineering Languages and Systems. MODELS 2013. Lecture Notes in Computer Science, vol 8107. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-41533-3_46

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  • DOI: https://doi.org/10.1007/978-3-642-41533-3_46

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-41532-6

  • Online ISBN: 978-3-642-41533-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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