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Automatic Evolution of Parallel Sorting Programs on Multi-cores

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Book cover Applications of Evolutionary Computation (EvoApplications 2015)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 9028))

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Abstract

Sorting algorithms that offer the potential for data-parallel execution on parallel architectures are an excellent tool for the current generation of multi-core processors that often require skilled parallelization knowledge to fully realize the potential of the hardware.

We propose to automate the evolution of natively parallel programs using the Grammatical Evolution (GE) approach to utilise the computational potential of multi-cores. The proposed system, Multi-core Grammatical Evolution for Parallel Sorting (MCGE-PS), applies GE mapping along with explicit OpenMP #pragma compiler directives to automatically evolve data-level parallel iterative sorting algorithms. MCGE-PS is assessed on the generation of four non-recursive sorting programs in C. We show that it generated programs that can solve the problem that are also parallel. On a high performance Intel processor, MCGE-PS significantly reduced the execution time of the evolved programs for all the benchmark problems.

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Notes

  1. 1.

    Note that the same non-terminal is used for increment/decrement of a Rank in Rank sort algorithm.

  2. 2.

    Note that leaving the maximum depth to the default value (\(10\)) results in an error as the derivation tree depth of the grammars include a larger value than the default.

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Authors and Affiliations

  1. Bio-Computing and Developmental Systems Group, Computer Science and Information Systems Department, University of Limerick, Limerick, Ireland

    Gopinath Chennupati, R. Muhammad Atif Azad & Conor Ryan

Authors
  1. Gopinath Chennupati
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  2. R. Muhammad Atif Azad
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  3. Conor Ryan
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Correspondence to Gopinath Chennupati .

Editor information

Editors and Affiliations

  1. Universidad de Granada, Granada, Spain

    Antonio M. Mora

  2. Politecnico di Torino, Turin, Italy

    Giovanni Squillero

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Chennupati, G., Azad, R.M.A., Ryan, C. (2015). Automatic Evolution of Parallel Sorting Programs on Multi-cores. In: Mora, A., Squillero, G. (eds) Applications of Evolutionary Computation. EvoApplications 2015. Lecture Notes in Computer Science(), vol 9028. Springer, Cham. https://doi.org/10.1007/978-3-319-16549-3_57

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  • DOI: https://doi.org/10.1007/978-3-319-16549-3_57

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-16548-6

  • Online ISBN: 978-3-319-16549-3

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