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GPU implementations of scheduling heuristics for heterogeneous computing environments

Sergio Nesmachnow, Mauro Canabe
Centro de Calculo, Facultad de Ingenieria, Universidad de la Republica, Uruguay
Universidad de la Republica, 2011

@article{nesmachnow2011gpu,

   title={GPU implementations of scheduling heuristics for heterogeneous computing environments},

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

   year={2011}

}

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This work presents the application of parallel computing techniques using Graphic Processing Units to improve the efficiency of scheduling heuristics for heterogeneous computing systems. The experimental evaluation of the proposed methods 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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