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Error Detection Using BMC in a Parallel Environment

  • Subramanian K. Iyer
  • Jawahar Jain
  • Mukul R. Prasad
  • Debashis Sahoo
  • Thomas Sidle
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3725)

Abstract

In this paper, we explore a parallelization of BMC based on state space partitioning. The parallelization is accomplished by executing multiple instances of BMC independently from di.erent seed states. These seed states are deep states, selected from the reachable states in different partitions. In this scheme, all processors work independently of each other, thus it is suitable for scaling verification to a grid-like network. Our experimental results demonstrate improvement over existing approaches, and show that the method can scale to a large network.

Keywords

Error Detection Reachable State Deep State Bound Model Check Seed State 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • Subramanian K. Iyer
    • 1
  • Jawahar Jain
    • 2
  • Mukul R. Prasad
    • 2
  • Debashis Sahoo
    • 3
  • Thomas Sidle
    • 2
  1. 1.University of Texas at AustinAustinUSA
  2. 2.Fujitsu Labs of AmericaSunnyvaleUSA
  3. 3.Stanford UniversityStanfordUSA

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