DocumentCode
2353610
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
fYear
2010
fDate
16-18 Dec. 2010
Firstpage
1
Lastpage
2
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Energy Aware Computing (ICEAC), 2010 International Conference on
Conference_Location
Cairo
Print_ISBN
978-1-4244-8273-3
Type
conf
DOI
10.1109/ICEAC.2010.5702313
Filename
5702313
Link To Document