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Automatic Program Parallelization for Multicore Processors

  • Conference paper
Parallel Processing and Applied Mathematics (PPAM 2009)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 6067))

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Abstract

With the advent of multi-core processors the problem of designing application that efficiently can utilize it performance become more and more important. Moreover developing programs for these processors requires from the programmers some additional, specific knowledge about the processor architecture. In multi-core systems efficient program execution is the main issue. It can even happen that switching from sequential to parallel computation can lead to decreasing of performance. The paper deals with the short description of SliCer, the hardware independent tool that parallelizes serial programs in automatic way depending on the number of available processing units by creating the proper number of threads that can be later execute in parallel.

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References

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Author information

Authors and Affiliations

  1. Institute of Informatics, Wroclaw University of Technology, Wybrzeze Wyspianskiego 27, 50-370, Wroclaw, Poland

    Jan Kwiatkowski & Radoslaw Iwaszyn

Authors
  1. Jan Kwiatkowski
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  2. Radoslaw Iwaszyn
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Editor information

Editors and Affiliations

  1. Institute of Computational and Information Sciences, Czestochowa University of Technology,  

    Roman Wyrzykowski

  2. Department of Electrical Engineering and Computer Science, University of Tennessee, TN 37996-3450, Knoxville, USA

    Jack Dongarra

  3. Institute of Computer and Information Science, Czestochowa University of Technology, Dabrowskiego 73, PL-42-200, Czestochowa, Poland

    Konrad Karczewski

  4. Department of Informatics and Mathematical Modeling, Technical University of Denmark, Richard Petersens Plads, Building 321, 2800, Kongens Lyngby, Denmark

    Jerzy Wasniewski

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© 2010 Springer-Verlag Berlin Heidelberg

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Kwiatkowski, J., Iwaszyn, R. (2010). Automatic Program Parallelization for Multicore Processors. In: Wyrzykowski, R., Dongarra, J., Karczewski, K., Wasniewski, J. (eds) Parallel Processing and Applied Mathematics. PPAM 2009. Lecture Notes in Computer Science, vol 6067. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-14390-8_25

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  • DOI: https://doi.org/10.1007/978-3-642-14390-8_25

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-14389-2

  • Online ISBN: 978-3-642-14390-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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