ENERGY-AWARE TASK SCHEDULING

A task modeling system, including a plurality of processing clients having a plurality of processing cores; a task modeler, including a memory storing an artificial neural network; and a processor, configured to receive input data representing a plurality of processing tasks to be completed by the p...

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Bibliographische Detailangaben
Hauptverfasser: SPOCZYNSKI, Marcin, ANAND, Arjun, GUPTA HYDE, Maruti, ARVINTE, Marius, HIMAYAT, Nageen, BALAKRISHNAN, Ravikumar, AKDENIZ, Mustafa
Format: Patent
Sprache:eng
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Zusammenfassung:A task modeling system, including a plurality of processing clients having a plurality of processing cores; a task modeler, including a memory storing an artificial neural network; and a processor, configured to receive input data representing a plurality of processing tasks to be completed by the processing client within a predefined time duration; and implement its artificial neural network to determine from the input data an assignment of the processing tasks among the processing cores for completion of the processing tasks within the predefined time duration, and determine a power management factor for each of the plurality of processing cores for power management during the predefined time duration; wherein the artificial neural network is configured to select the power management factor for each of the plurality of processing cores to achieve a power usage within a predefined threshold for the plurality of processing cores during the predefined time duration.