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En optimierande kompilator för SMV till CLP(B)


This thesis describes an optimising compiler for translating from SMV to CLP(B). The optimisation is aimed at reducing the number of required variables in order to decrease the size of the resulting BDDs. Also a partitioning of the transition relation is performed. The compiler uses an internal representation of a FSM that is built up from the SMV description. A number of rewrite steps are performed on the problem description such as encoding to a Boolean domain and performing the optimisations. The variable reduction heuristic is based on finding sub-circuits that are suitable for reduction and a state space search is performed on those groups. An evaluation of the results shows that in some cases the compiler is able to greatly reduce the size of the resulting BDDs.

Författare

Mikael Asplund

Lärosäte och institution

Linköpings universitet/Institutionen för datavetenskap

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"Uppsats för yrkesexamina på grundnivå". Självständigt arbete (examensarbete)om minst 15 högskolepoäng utfört för att erhålla yrkesexamen på grundnivå.

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