Title :
McPOWER: a Monte Carlo approach to power estimation
Author :
Burch, R. ; Najm, F. ; Yang, P. ; Trick, T.
Author_Institution :
Texas Instrum. Inc., Dallas, TX, USA
Abstract :
An alternative technique for power estimation that combines the accuracy of simulation-based techniques with the speed of the probabilistic technique is investigated. The resulting method is statistical in nature; it consists of applying randomly-generated input patterns to the circuit and monitoring, with a simulator, the resulting power value. This is continued until a value of power is obtained with a desired accuracy, at a specified confidence level. The algorithm and experimental results are presented and the superiority of this approach is discussed.<>
Keywords :
Monte Carlo methods; circuit analysis computing; computerised monitoring; digital simulation; integrated circuits; power electronics; McPOWER; Monte Carlo approach; accuracy; confidence level; monitoring; power estimation; randomly-generated input patterns; simulator; Circuit simulation; Integrated circuits; Monitoring; Monte Carlo methods; Power electronics; Simulation;
Conference_Titel :
Computer-Aided Design, 1992. ICCAD-92. Digest of Technical Papers., 1992 IEEE/ACM International Conference on
Conference_Location :
Santa Clara, CA, USA
Print_ISBN :
0-8186-3010-8
DOI :
10.1109/ICCAD.1992.279392