Title :
Platform modeling for power forecasting and optimization
Author :
Fayed, Ayman ; Rahal-Arabi, Tawfik ; Agarwal, Aseem
Author_Institution :
Intel Archit. Group, Intel Corp., Hillsboro, OR, USA
Abstract :
This paper presents platform power modeling and its usage for power forecasting and optimization of state-of-art mobile platforms that use multi-core microprocessors with other integrated silicon components. The developed methodologies improve prediction accuracy and reduce run time compared to traditional methods of analyzing individual components each on their own then adding them together.
Keywords :
microprocessor chips; multiprocessing systems; optimisation; power aware computing; integrated silicon components; multicore microprocessors; power forecasting; power modeling; power optimization; prediction accuracy; state-of-art mobile platforms;
Conference_Titel :
Energy Aware Computing (ICEAC), 2010 International Conference on
Conference_Location :
Cairo
Print_ISBN :
978-1-4244-8273-3
DOI :
10.1109/ICEAC.2010.5702313
