Title :
Dynamic power estimation using the probabilistic contribution measure (PCM)
Author :
Jin, Hoon-Sang ; Jang, Myung-Soo ; Song, Jin-Suk ; Lee, Jin-Yong ; Taek-Sao Ki ; Kong, Jeong-Taek
Author_Institution :
Semicond. R&D Center, Samsung Electron. Co., Kyungki-Do, South Korea
Abstract :
In this paper, we present CubicPower which is a dynamic power estimator based on Verilog/VHDL. We propose the power characterization model and the probablistic contribution measure (PCM) algorithm to calculate the actual power consumption of cell instances with given switching information. In addition to PCM, the state dependency and nonswitching activity of gates are taken into account for morte accurate power estimation, Experimental results of CubicPower show less than 10% error compared with the results of PowerMill simulation and the measured values of the IMS test equipment. Due to the PCM algorithm CubicPower is more accurate than the leading commercial dynamic power estimator at the gate level and is 2-3 orders of magnitude faster than PowerMill.
Keywords :
application specific integrated circuits; hardware description languages; logic CAD; probability; sequential estimation; CubicPower; IMS test equipment; PowerMill simulation; Verilog/VHDL; dynamic power estimation; gate level; nonswitching activity; power characterization model; probabilistic contribution measure; probablistic contribution measure; state dependency; switching information; Circuit simulation; Computer aided engineering; Discrete event simulation; Energy consumption; Hardware design languages; Logic circuits; Phase change materials; Power measurement; Research and development; State estimation;
Conference_Titel :
Low Power Electronics and Design, 1999. Proceedings. 1999 International Symposium on
Conference_Location :
San Diego, CA, USA
Print_ISBN :
1-58113-133-X
