Download Advanced BDD Optimization by Rudiger Ebendt, Görschwin Fey, Rolf Drechsler PDF

By Rudiger Ebendt, Görschwin Fey, Rolf Drechsler

The dimensions of technically producible built-in circuits raises continually. however the skill to layout and ascertain those circuits doesn't stay alongside of this improvement. as a result today’s layout move needs to be more suitable to accomplish the next productiveness. In Robustness and usefulness in glossy layout Flows the present layout technique and verification method are analyzed, a couple of deficiencies are pointed out and ideas prompt. advancements within the method in addition to within the underlying algorithms are proposed. An in-depth presentation of initial innovations makes the publication self-contained. in line with this starting place significant layout difficulties are distinctive. particularly, an entire software circulate for Synthesis for Testability of SystemC descriptions is gifted. The ensuing circuits are thoroughly testable and try trend new release in polynomial time is feasible. Verification concerns are coated in much more aspect. an entire new paradigm for formal layout verification is advised. this can be established upon layout realizing, the automated iteration of houses and robust device aid for debugging mess ups. a lot of these new innovations are empirically evaluated and experimental effects are supplied. for that reason, an more suitable layout circulate is created that offers extra automation (i.e. higher usability) and decreases the likelihood of introducing conceptual blunders (i.e. larger robustness)

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All recent approaches perform BDD operations and make use of hash tables as the underlying data structure. Next we follow the presentation of the exact BDD minimization algorithm in [DDG00]. As input, the algorithm receives a BDD F representing a Boolean multi-output function f : Bn → Bm and n. 2, a state I with |I| = k − 1 is retrieved from a hash table (which holds all states of the previous step k − 1). 2. 2. 4). This restricts the search space if the function is partially symmetric, an optimization which has also been used in [JKS93].

Nally swapping π(j − 1) and π(j) moves π(i) to the j-th position in the ordering. Note that π changes with each swap. 1 it has been shown that a swap of adjacent variables only affects the graph structure of the two levels involved in the swap. Since the number of nodes which have to be touched directly transfers to the run time of the method, this locality of the swap operation is a main reason for the efficiency of the sifting algorithm: these exchanges are performed very quickly since only edges must be redirected within these two levels.

The reference count ref gives the information how often a node is used at the moment. That way it is possible to free a node if it is not used anymore. This allows the efficient usage of the memory. The count ref is updated dynamically whenever the number of references from other nodes or returned user functions changes. e. the node is not deleted during program run and exists until program termination. If ref reaches the value zero for a node v, the node is called a dead node. The reference counts of the descendants of v need to be decreased recursively.

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