GPU Implementation of a Multiobjective Search Algorithm

Please always quote using this URN: urn:nbn:de:bvb:29-opus-25386
  • In this paper we observe the possibility to accelerate a search algorithm for multiobjective optimization problems with help of a graphics processing unit. Besides an implementation we present test results for it and the conclusions that can be drawn from these results.

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Metadaten
Author:Steffen Limmer, Dietmar Fey, Johannes Jahn
URN:urn:nbn:de:bvb:29-opus-25386
Series (Volume number):Technical reports / Department Informatik (CS-2011-03)
Document Type:Report
Language:English
Year of Completion:2011
Publishing Institution:Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU)
Release Date:2011/05/02
Tag:GPGPU
CUDA; GPGPU; multiobjective search algorithm; optimization; parallelization
SWD-Keyword:CUDA <Informatik>; Mehrkriterielle Optimierung; Parallelisierung
Institutes:Technische Fakultät / Technische Fakultät -ohne weitere Spezifikation-
Dewey Decimal Classification:Informatik, Informationswissenschaft, allgemeine Werke / Informatik, Wissen, Systeme / Datenverarbeitung; Informatik
open_access (DINI-Set):open_access