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Parallel implementations of the MinMin heterogeneous computing scheduler in GPU

Mauro Canabe, Sergio Nesmachnow
Centro de Calculo, Facultad de Ingenieria, Universidad de la Republica, Uruguay
V Latin American Symposium on High Performance Computing (HPCLatAm), 2012

@article{canabe2012parallel,

   title={Parallel implementations of the MinMin heterogeneous computing scheduler in GPU},

   author={Canab{‘e}, M. and Nesmachnow, S.},

   journal={CLEI ELECTRONIC JOURNAL},

   volume={15},

   number={3},

   year={2012}

}

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This 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.
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