Title :
Identifying signal correlations using discrete event simulation
Author :
Sabet, Pirouz Bazargan ; Ledu, D.
Author_Institution :
Univ. Pierre et Marie Curie (UPMC) - LIP6, Paris, France
Abstract :
Many applications, in digital circuit verification, require a functional exploration of the circuit. In such a type of analysis, recognizing the correlation between signals is a key issue. The identification of correlations allows the boolean function of gates be expressed in terms of independent signals. This concept is known as SuperGate. This paper presents an original algorithm based on discrete event simulation, to identify all the SuperGates of a circuit. The algorithm resides exclusively on set operations, including union, intersection and subtract.
Keywords :
Boolean functions; correlation methods; digital circuits; discrete event simulation; formal verification; graph theory; SuperGate; boolean function; digital circuit verification; discrete event simulation; functional exploration; independent signals; set operations; signal correlations; Boolean functions; Color; Correlation; Discrete event simulation; Image color analysis; Integrated circuit modeling; Logic gates;
Conference_Titel :
New Circuits and Systems Conference (NEWCAS), 2013 IEEE 11th International
Conference_Location :
Paris
Print_ISBN :
978-1-4799-0618-5
DOI :
10.1109/NEWCAS.2013.6573646