Parallel implementations of the MinMin heterogeneous computing scheduler in GPU

dc.creatorCanabé,Mauro
dc.creatorNesmachnow,Sergio
dc.date2012-12-01
dc.date.accessioned2023-09-25T18:35:14Z
dc.date.available2023-09-25T18:35:14Z
dc.identifierhttp://www.scielo.edu.uy/scielo.php?script=sci_arttext&pid=S0717-50002012000300009
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/8838441
dc.descriptionThis work presents parallel implementations of the MinMin scheduling heuristic for heterogeneous computing using Graphic Processing Units, in order to improve its computational efficiency. The experimental evaluation of the four proposed MinMin variants demonstrates that a significant reduction on the computing times can be attained, allowing to tackle large scheduling scenarios in reasonable execution times
dc.formattext/html
dc.languageen
dc.publisherCentro Latinoamericano de Estudios en Informática
dc.rightsinfo:eu-repo/semantics/openAccess
dc.sourceCLEI Electronic Journal v.15 n.3 2012
dc.subjectGPU computing
dc.subjectheterogeneous computing
dc.subjectscheduling
dc.titleParallel implementations of the MinMin heterogeneous computing scheduler in GPU
dc.typeinfo:eu-repo/semantics/article


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