DocumentCode
1405799
Title
A hybrid methodology for switching activities estimation
Author
Cheng, David I. ; Kwang-Ting Cheng ; Wang, Deborah C. ; Sadowska, Malgorzata Marek
Author_Institution
Ultima Interconnect Technol., Sunnyvale, CA, USA
Volume
17
Issue
4
fYear
1998
fDate
4/1/1998 12:00:00 AM
Firstpage
357
Lastpage
366
Abstract
In this paper, we propose a hybrid approach for estimating the switching activities of the internal nodes in logic circuits. The new approach combines the advantages of the simulation-based techniques and the probability-based techniques. We use the user-specified control sequence for simulation, and treat the weakly correlated data inputs using the probabilistic model. The new approach, on one hand, is more accurate than the probabilistic approaches because the strong temporal and spatial correlations among control inputs are well taken into consideration. On the other hand, the new approach is much more efficient than the simulation-based approaches because the weakly correlated data inputs are not explicitly simulated. We also discuss the situation where BDD´s are built in terms of internal nodes so that large circuits can he handled. Extensive experimental results are presented to show the effectiveness and efficiency of our algorithms
Keywords
Boolean functions; CMOS logic circuits; VLSI; circuit analysis computing; delays; probability; sequential circuits; switching; BDD; CMOS circuits; binary decision diagrams; hybrid methodology; internal nodes; logic circuits; probabilistic model; probability-based technique; simulation-based technique; switching activities estimation; user-specified control sequence; Boolean functions; CMOS logic circuits; Capacitance; Circuit simulation; Data structures; Energy consumption; Large scale integration; Logic circuits; Switching circuits; Very large scale integration;
fLanguage
English
Journal_Title
Computer-Aided Design of Integrated Circuits and Systems, IEEE Transactions on
Publisher
ieee
ISSN
0278-0070
Type
jour
DOI
10.1109/43.703825
Filename
703825
Link To Document