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Local Two-Level And-Inverer Graph Minimization without Blowup

  • Toni Jussila (Speaker)

Activity: Talk or presentationContributed talkunknown

Description

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.
Period28 Oct 2006
Event title2nd Doctoral Workshop on Mathematical and Engineering Methods in Computer Science (MEMICS'06), Mikulov, Czechia
Event typeConference
LocationCzech RepublicShow on map

Fields of science

  • 102 Computer Sciences