PBA2CUDA - A Framework for Parallelizing Population Based Algorithms Using CUDA
| dc.contributor.author | Zgeras, Ioannis | |
| dc.contributor.author | Brehm, Jürgen | |
| dc.contributor.author | Knoppik, Michael | |
| dc.date.accessioned | 2017-06-29T16:28:09Z | |
| dc.date.available | 2017-06-29T16:28:09Z | |
| dc.date.issued | 2014 | |
| dc.description.abstract | 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. | en |
| dc.identifier.pissn | 0177-0454 | |
| dc.language.iso | en | |
| dc.publisher | Gesellschaft für Informatik e.V., Fachgruppe PARS | |
| dc.relation.ispartof | PARS-Mitteilungen: Vol. 31, Nr. 1 | |
| dc.title | PBA2CUDA - A Framework for Parallelizing Population Based Algorithms Using CUDA | en |
| dc.type | Text/Journal Article | |
| gi.citation.publisherPlace | Berlin |
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