Reducing Thread Divergence in GPU-Based B&B Applied to the Flow-Shop Problem

dc.contributor.authorChakroun, Imen
dc.contributor.authorBendjoudi, Ahcène
dc.contributor.authorMelab, Nouredine
dc.date.accessioned2013-11-28T08:57:30Z
dc.date.available2013-11-28T08:57:30Z
dc.date.issued2012
dc.description.abstractIn this paper,we propose a pioneering work on designing and programming B&B algorithms on GPU. To the best of our knowledge, no contribution has been proposed to raise such challenge. We focus on the parallel evaluation of the bounds for the Flow-shop scheduling problem. To deal with thread divergence caused by the bounding operation, we investigate two software based approaches called thread data reordering and branch refactoring. Experiments reported that parallel evaluation of bounds speeds up execution up to 54.5 times compared to a CPU version.fr_FR
dc.identifier.doi10.1007/978-3-642-31464-3_57
dc.identifier.e-isbn978-3-642-31464-3
dc.identifier.isbn978-3-642-31463-6
dc.identifier.urihttp://dl.cerist.dz/handle/CERIST/390
dc.publisherSpringer Berlin Heidelbergfr_FR
dc.relation.ispartofParallel Processing and Applied Mathematics : 9th International Conference, PPAM 2011, Torun, Poland, September 11-14, 2011. Revised Selected Papers, Part I
dc.relation.ispartofseriesParallel Processing and Applied Mathematics : 9th International Conference, PPAM 2011, Torun, Poland, September 11-14, 2011. Revised Selected Papers, Part Ifr_FR
dc.relation.placeBerlinfr_FR
dc.rights.holderSpringer-Verlag Berlin Heidelbergfr_FR
dc.subjectBranch and Boundfr_FR
dc.subjectData Parallelismfr_FR
dc.subjectGPU Computingfr_FR
dc.subjectThread Divergencefr_FR
dc.subjectFlow-shop Schedulingfr_FR
dc.titleReducing Thread Divergence in GPU-Based B&B Applied to the Flow-Shop Problemfr_FR
dc.typeBook Chapter
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