Abstract
A dynamic control model for processing computationally intensive tasks that allow for arbitrary data parallelization in the heterogeneous computing system is considered. Although execution times are not known for tasks, their deadlines should be approved and given. Guaranteed estimates of when each task is completed in the worst case are obtained. The model helps take into account and minimize the maximal possible excess in the assigned deadlines for any set of original tasks.
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Original Russian Text © Yu.E. Malashenko, I.A. Nazarova, 2012, published in Izvestiya Akademii Nauk. Teoriya i Sistemy Upravleniya, 2012, No. 5, pp. 15–22.
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Malashenko, Y.E., Nazarova, I.A. Controlling computationally intensive heterogeneous computational tasks with directive deadlines. J. Comput. Syst. Sci. Int. 51, 628–635 (2012). https://doi.org/10.1134/S1064230712050024
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DOI: https://doi.org/10.1134/S1064230712050024