DocumentCode :
3662582
Title :
STG-based detection of power virus inputs in FSM
Author :
Vasily G. Moshnyaga;Hideki Nita
Author_Institution :
Department of Electronics Engineering and Computer Science, Fukuoka University, 8140180, Japan
fYear :
2015
Firstpage :
1
Lastpage :
4
Abstract :
Finding input sequences that cause switching activity burst (power virus) and consequently peak power dissipation is an essential issue in design of sequential digital circuits. This paper presents a novel technique for computing the power virus inputs from the very first step of the synthesis flow where the finite state machine is typically described in the form of Signal Transition Graph (STG) and each state is represented in a symbolic form. Evaluations show that the proposed technique is simple yet effective.
Keywords :
"Switches","Estimation","Sequential circuits","Clocks","Power dissipation","Very large scale integration","Integrated circuit modeling"
Publisher :
ieee
Conference_Titel :
Circuits and Systems (MWSCAS), 2015 IEEE 58th International Midwest Symposium on
Type :
conf
DOI :
10.1109/MWSCAS.2015.7282039
Filename :
7282039
Link To Document :
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