Thèses en ligne de l'université 8 Mai 1945 Guelma

Implémentation d’un outil pour générerle graphe d’état d’un réseau de Petri réversible : Compilation

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dc.contributor.author KHERAIFIA, KARIMA
dc.date.accessioned 2023-11-23T11:32:49Z
dc.date.available 2023-11-23T11:32:49Z
dc.date.issued 2023
dc.identifier.uri http://dspace.univ-guelma.dz/jspui/handle/123456789/15005
dc.description.abstract Reversible computing is a computing paradigm where each operation is reversible, meaning it is possible to recover the previous state from the current state. Unlike classical computing, where information can be lost, reversible computing preserves all the necessary information to reverse operations and return to a previous state. Reversible Petri nets are an extension of Petri nets, which are graphical tools used to model concurrent and distributed systems. In reversible Petri nets, transitions are reversible, meaning it is possible to reverse the marking of the net to return to a previous state. This allows representing systems where actions can be undone, resources recovered, and previous states restored. These concepts have applications in areas such as reversible logic circuit design, simulation of reversible physical systems, and low-power computing system design. They are particularly useful in research and application domains where reversibility and information recovery are crucial, such as quantum computing systems. In this project, we have designed a module (compiler) that takes a textual description of a Reversible Petri Net (RPN) as input and transforms it into a specific data structure to be used by other modules. Specifically, we have (i) proposed a suitable grammar for reversible Petri nets and (ii) developed the lexical analyzer. en_US
dc.language.iso fr en_US
dc.publisher University of Guelma en_US
dc.subject Implémentation d’un outil , générerle graphe d’état , réseau de Petri réversible, Compilation en_US
dc.title Implémentation d’un outil pour générerle graphe d’état d’un réseau de Petri réversible : Compilation en_US
dc.type Working Paper en_US


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