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Author:

Lv, Guanfeng (Lv, Guanfeng.) | Su, Kaile (Su, Kaile.) | Xu, Yanyan (Xu, Yanyan.)

Indexed by:

EI Scopus

Abstract:

In this paper, we present CacBDD, a new efficient BDD (Binary Decision Diagrams) package. It implements a dynamic cache management algorithm, which takes account of the hit-rate of computed table and available memory. Experiments on the BDD benchmarks of both combinational circuits and model checking show that CacBDD is more efficient compared with the state-of-the-art BDD package CUDD. © 2013 Springer-Verlag.

Keyword:

Computer aided analysis Binary decision diagrams Boolean functions Model checking

Author Community:

  • [ 1 ] [Lv, Guanfeng]School of Comput. Sci. and Tech., Beijing University of Technology, Beijing, China
  • [ 2 ] [Su, Kaile]IIIS, Griffith University, Brisbane, QLD, Australia
  • [ 3 ] [Su, Kaile]Key Laboratory of High Confidence Software Technologies, Ministry of Education, Beijing, China
  • [ 4 ] [Xu, Yanyan]School of Inf. Sci. and Tech., Beijing Forestry University, China
  • [ 5 ] [Xu, Yanyan]State Key Laboratory of Computer Science, Institute of Software, Chinese Academy of Sciences, Beijing, China

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Source :

ISSN: 0302-9743

Year: 2013

Volume: 8044 LNCS

Page: 229-234

Language: English

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count: 10

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 10

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