Title :
An analytical solution for multi-core energy calculation with consideration of leakage and temperature dependency
Author :
Ming Fan ; Chaturvedi, Vivek ; Shi Sha ; Gang Quan
Author_Institution :
Electr. & Comput. Eng. Dept., Florida Int. Univ., Miami, FL, USA
Abstract :
Energy minimization is a critical issue and challenge when considering the cyclic dependency of leakage power and temperature as IC technology reaches deep sub-micron level. In this paper, we present an analytical method to calculate the energy consumption efficiently and effectively for a given voltage schedule on a multi-core platform, with the leakage/temperature dependency taken into consideration. Our experiments show that the proposed method can achieve a speedup of 15 times compared with the numerical method, with a relative error of no more than 1.5%.
Keywords :
integrated circuit design; microprocessor chips; deep sub-micron level; energy consumption; energy minimization; integrated circuit technology; leakage dependency; multicore energy calculation; temperature dependency; voltage schedule; Energy consumption; Equations; Mathematical model; Multicore processing; Power demand; Schedules; Temperature dependence; energy calculation; leakage/temperature dependency; multi-core systems;
Conference_Titel :
Low Power Electronics and Design (ISLPED), 2013 IEEE International Symposium on
Conference_Location :
Beijing
Print_ISBN :
978-1-4799-1234-6
DOI :
10.1109/ISLPED.2013.6629322