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Auflistung nach Autor:in "Zgeras, Ioannis"

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  • Zeitschriftenartikel
    Parallel Function Optimisation Using Evolutionary Algorithms and Deterministic Neighbourhood Search
    (PARS: Parallel-Algorithmen, -Rechnerstrukturen und -Systemsoftware: Vol. 28, No. 1, 2011) Zgeras, Ioannis; Brehm, Jürgen; Reisch, Andreas
    Modern computer hardware provides massive computational power by parallelism. However, many of the existing algorithms and frameworks are optimised for sequential execution and are not capable to be parallelised or do not scale well on complex parallel architectures. In our paper, we present a metaheuristic consisting of a parallel Evolutionary Algorithm and a parallel Neighbourhood Search. For the implementation massively parallel GPUs are used. This framework is evaluated on the application of function optimisation.
  • Zeitschriftenartikel
    PBA2CUDA - A Framework for Parallelizing Population Based Algorithms Using CUDA
    (PARS-Mitteilungen: Vol. 31, Nr. 1, 2014) Zgeras, Ioannis; Brehm, Jürgen; Knoppik, Michael
    To increase the performance of a program, developers have to parallelize their code due to trends in modern hardware development. Since the parallelization of source code is paired with additional programming effort, it is desirable to provide developers with tools to help them by parallelizing source code. PBA2CUDA is a framework for semi-automatically parallelization of source code specialized in the algorithm class of Population Based Algorithms.