PBA2CUDA - A Framework for Parallelizing Population Based Algorithms Using CUDA
Konferenz: ARCS 2014 - 27th International Conference on Architecture of Computing Systems
25.02.2014 - 28.02.2014 in Luebeck, Deutschland
Tagungsband: ARCS 2014
Seiten: 6Sprache: EnglischTyp: PDF
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Autoren:
Zgeras, Ioannis; Brehm, Juergen; Knoppik, Michael (Institute of System- and Computer Architecture, Leibniz Universitaet Hannover, 30167 Hannover, Germany)
Inhalt:
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.