Title :
Simulation-based maximum power estimation
Author :
Hill, Anthony M. ; Teng, Chin-Chi ; Kang, Sung-Mo
Author_Institution :
Dept. of Electr. Eng., Illinois Univ., Urbana, IL, USA
Abstract :
In this paper we consider estimation of maximum switching density in the context of power consumption and reliability. By using order statistics and nonparametric statistical methods, we obtain a relationship between the number of applied patterns, n, the estimated maximum power consumption, Pˆmax, and the true maximum power consumption, Pmax. Experimental results for the ISCAS 85 benchmark circuits are provided to show the validity of our techniques
Keywords :
ULSI; circuit CAD; digital simulation; integrated circuit reliability; logic CAD; nonparametric statistics; IC reliability; ISCAS 85 benchmark circuits; ULSI; applied patterns; logic simulation; maximum power consumption; maximum power estimation; maximum switching density; nonparametric statistical methods; order statistics; power consumption; Circuit simulation; Distribution functions; Energy consumption; Integrated circuit reliability; Logic; Parametric statistics; Statistical analysis; Statistical distributions; Switching circuits; Temperature;
Conference_Titel :
Circuits and Systems, 1996. ISCAS '96., Connecting the World., 1996 IEEE International Symposium on
Conference_Location :
Atlanta, GA
Print_ISBN :
0-7803-3073-0
DOI :
10.1109/ISCAS.1996.541889
