Robert Brummayer, Armin Biere,
"Local Two-Level And-Inverter Graph / Minimization without Blowup"
: 2nd Doctoral Workshop on Mathematical and Engineering Methods in Computer Science (MEMICS'06), 2006
Original Titel:
Local Two-Level And-Inverter Graph / Minimization without Blowup
Sprache des Titels:
Englisch
Original Buchtitel:
2nd Doctoral Workshop on Mathematical and Engineering Methods in Computer Science (MEMICS'06)
Original Kurzfassung:
And-Inverter Graphs (AIGs) are an efficient and scalable
representation for boolean formulas and circuits. We present a maximal set of rules for local two-level optimization of AIGs. This set consists of rules which can be applied before node creation greedily without affecting
structural sharing negatively. We implemented these techniques in the AIG library of our tool SMV2QBF and report on experimental results in the context of SAT based model checking.