Multi-Core LTSmin: Marrying Modularity and Scalability

  • Alfons Laarman
  • Jaco van de Pol
  • Michael Weber
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6617)

Abstract

The LTSmin toolset provides multiple generation and on-the-fly analysis algorithms for large graphs (state spaces), typically generated from concise behavioral specifications (models) of systems. LTSmin supports a variety of input languages, but its key feature is modularity: language frontends, optimization layers, and algorithmic backends are completely decoupled, without sacrificing performance. To complement our existing symbolic and distributed model checking algorithms, we added a multi-core backend for checking safety properties, with several new features to improve efficiency and memory usage: low-overhead load balancing, incremental hashing and scalable state compression.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Alfons Laarman
    • 1
  • Jaco van de Pol
    • 1
  • Michael Weber
    • 1
  1. 1.Formal Methods and ToolsUniversity of TwenteThe Netherlands

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