PBA2CUDA - A Framework for Parallelizing Population Based Algorithms Using CUDA

Zusammenfassung
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.
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  • BibTeX
Zgeras, I., Brehm, J. & Knoppik, M., (2014). PBA2CUDA - A Framework for Parallelizing Population Based Algorithms Using CUDA.   PARS-Mitteilungen: Vol. 31, Nr. 1. Berlin: Gesellschaft für Informatik e.V., Fachgruppe PARS.
@article{mci/Zgeras2014,
author = {Zgeras, Ioannis AND Brehm, Jürgen AND Knoppik, Michael},
title = {PBA2CUDA - A Framework for Parallelizing Population Based Algorithms Using CUDA},
journal = {PARS-Mitteilungen},
volume = {31},
number = {1},
year = {2014},

}
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ISSN: 0177-0454
Datum: 2014
Sprache: en (en)
Typ: Text/Journal Article
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