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  • 1.
    Ekblom, Tom
    University of Skövde, School of Humanities and Informatics.
    Hierarkiska tillståndsmaskiner i C#2013Independent thesis Basic level (degree of Bachelor), 20 credits / 30 HE creditsStudent thesis
    Abstract [sv]

    I det här arbetet skapas två implementationer av hierarkiska tillståndsmaskiner i C#, en med artificiell trädstruktur och en med arv för att representera tillståndshierarkin. Implementationernas tidskomplexitet och underhållbarhet utvärderas sedan i .NET och Mono. Experimenten utförs på Sameks tillståndsdiagram och visar på att den som implementeras med arv är snabbare än den med artificiell trädstruktur samt att .NET är snabbare än Mono. Underhållbarhetsanalysen visar på att den som är baserad på artificiell trädstruktur är lättare att underhålla.

  • 2.
    Syberfeldt, Anna
    et al.
    University of Skövde, School of Engineering Science. University of Skövde, The Virtual Systems Research Centre.
    Danielsson, Oscar
    University of Skövde, School of Engineering Science. University of Skövde, The Virtual Systems Research Centre.
    Holm, Magnus
    University of Skövde, School of Engineering Science. University of Skövde, The Virtual Systems Research Centre.
    Ekblom, Tom
    University of Skövde, School of Engineering Science. University of Skövde, The Virtual Systems Research Centre.
    Augmented Reality at the Industrial Shop-Floor2014In: Augmented and Virtual Reality / [ed] Lucio Tommaso De Paolis, Antonio Mongelli, Springer Berlin/Heidelberg, 2014, p. 201-209Conference paper (Refereed)
    Abstract [en]

    This paper describes a study of the potential of using augmented real-ityat the industrial shop-floor with the aim ofimprovingthe capability of the shop-floor operators. In the study, aprototype systemfor augmented reality is developed based on the Oculus Rift platform. The systemisevaluated through an experimentin which a physical three-dimensionalpuzzleis to be assembled.

  • 3.
    Syberfeldt, Anna
    et al.
    University of Skövde, School of Engineering Science. University of Skövde, The Virtual Systems Research Centre.
    Ekblom, Tom
    University of Skövde, School of Engineering Science. University of Skövde, The Virtual Systems Research Centre.
    A comparative evaluation of the GPU vs. the CPU for parallelization of evolutionary algorithms through multiple independent runs2017In: International Journal of Computer Science & Information Technology (IJCSIT), ISSN 0975-4660, E-ISSN 0975-3826, Vol. 9, no 3, p. 1-14Article in journal (Refereed)
    Abstract [en]

    Multiple independent runs of an evolutionary algorithm in parallel are often used to increase the efficiency of parameter tuning or to speed up optimizations involving inexpensive fitness functions. A GPU platform is commonly adopted in the research community to implement parallelization, and this platform has been shown to be superior to the traditional CPU platform in many previous studies. However, it is not clear how efficient the GPU is in comparison with the CPU for the parallelizing multiple independent runs, as the vast majority of the previous studies focus on parallelization approaches in which the parallel runs are dependent on each other (such as master-slave, coarse-grained or fine-grained approaches). This study therefore aims to investigate the performance of the GPU in comparison with the CPU in the context of multiple independent runs in order to provide insights into which platform is most efficient. This is done through a number of experiments that evaluate the efficiency of the GPU versus the CPU in various scenarios. An analysis of the results shows that the GPU is powerful, but that there are scenarios where the CPU outperforms the GPU. This means that a GPU is not the universally best option for parallelizing multiple independent runs and that the choice of computation platform therefore should be an informed decision. To facilitate this decision and improve the efficiency of optimizations involving multiple independent runs, the paper provides a number of recommendations for when and how to use the GPU.

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