Title :
Granular CPU power measurement for SMP clusters
Author :
Newsom, David K. ; Azari, Sardar F. ; Anbar, Ahmad ; El-Ghazawi, Tarek
Author_Institution :
Dept. of Electr. & Comput. Eng., George Washington Univ., Washington, DC, USA
Abstract :
One of the key challenges in optimizing CPU power consumption at the program level is the difficulty of precisely measuring the power consumption of the CPU (as distinct from other system components) during the various phases of a program´s execution. This paper presents a scalable CPU power measurement framework with its associated reporting and data acquisition components that can be used to accurately measure program-related CPU power consumption on symmetric multiprocessor (SMP) cluster systems.
Keywords :
data acquisition; multiprocessing systems; power aware computing; power consumption; SMP clusters; data acquisition components; granular CPU power measurement; measure program-related CPU power consumption; optimizing CPU power consumption; program execution; program level; symmetric multiprocessor cluster systems; Heating; MATLAB; Mathematical model; Ports (Computers); CPU power measurement; MATLAB; PGAS; UPC; energy management;
Conference_Titel :
Green Computing Conference (IGCC), 2013 International
Conference_Location :
Arlington, VA
DOI :
10.1109/IGCC.2013.6604465
