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BAM: Efficient Model Checking for Barriers

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Networked Systems (NETYS 2021)

Part of the book series: Lecture Notes in Computer Science ((LNCCN,volume 12754))

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Abstract

Stateless Model Checking (SMC) and Dynamic Partial Order Reduction (DPOR) are prominent techniques that are often used together to verify safety properties of concurrent programs under a variety of different memory models. Although existing SMC/DPOR implementations excel at verifying parallel algorithms, they scale extremely poorly once barriers are used to synchronize the participating threads.

In response, we develop BAM (Barrier-Aware Model-checker), a DPOR extension that explores exponentially fewer executions for programs that employ synchronization schemes involving barriers. We have implemented BAM in a verification tool for C programs, and show that it greatly outperforms the state-of-the-art for programs with barriers.

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Acknowledgements

We thank the anonymous reviewers for their feedback. We are grateful to Xiaowei Ren for his initial implementation of BAM. This work was supported by a European Research Council (ERC) Consolidator Grant for the project “PERSIST” under the European Union’s Horizon 2020 research and innovation programme (grant agreement No. 101003349).

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Authors and Affiliations

  1. MPI-SWS, Kaiserslautern, Germany

    Michalis Kokologiannakis & Viktor Vafeiadis

Authors
  1. Michalis Kokologiannakis
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  2. Viktor Vafeiadis
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Correspondence to Michalis Kokologiannakis .

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Editors and Affiliations

  1. Mohammed VI Polytechnic University, Ben Guerir, Morocco

    Karima Echihabi

  2. Technische Universität Braunschweig, Braunschweig, Niedersachsen, Germany

    Roland Meyer

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Kokologiannakis, M., Vafeiadis, V. (2021). BAM: Efficient Model Checking for Barriers. In: Echihabi, K., Meyer, R. (eds) Networked Systems. NETYS 2021. Lecture Notes in Computer Science(), vol 12754. Springer, Cham. https://doi.org/10.1007/978-3-030-91014-3_16

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  • DOI: https://doi.org/10.1007/978-3-030-91014-3_16

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-91013-6

  • Online ISBN: 978-3-030-91014-3

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