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  • An I/O Efficient Model Checking Algorithm for Large-Scale Systems

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    Version of Record (VoR)
    Author(s)
    Wu, L
    Huang, H
    Su, K
    Cai, S
    Zhang, X
    Griffith University Author(s)
    Su, Kaile
    Year published
    2015
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    Abstract
    Model checking is a powerful approach for the formal verification of hardware and software systems. However, this approach suffers from the state space explosion problem, which limits its application to large-scale systems due to space shortage. To overcome this drawback, one of the most effective solutions is to use external memory algorithms. In this paper, we propose an I/O efficient model checking algorithm for large-scale systems. To lower I/O complexity and improve time efficiency, we combine three new techniques: 1) a linear hash-sorting technique; 2) a cached duplicate detection technique; and 3) a dynamic path ...
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    Model checking is a powerful approach for the formal verification of hardware and software systems. However, this approach suffers from the state space explosion problem, which limits its application to large-scale systems due to space shortage. To overcome this drawback, one of the most effective solutions is to use external memory algorithms. In this paper, we propose an I/O efficient model checking algorithm for large-scale systems. To lower I/O complexity and improve time efficiency, we combine three new techniques: 1) a linear hash-sorting technique; 2) a cached duplicate detection technique; and 3) a dynamic path management technique. We show that the new algorithm has a lower I/O complexity than state-of-the-art I/O efficient model checking algorithms, including detect accepting cycle, maximal accepting predecessors, and iterative-deepening depth-first search. In addition, the experiments show that our algorithm obviously outperforms these three algorithms on the selected representative benchmarks in terms of performance.
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    Journal Title
    IEEE Transactions on Very Large Scale Integration (VLSI) Systems
    Volume
    23
    Issue
    5
    DOI
    https://doi.org/10.1109/TVLSI.2014.2330061
    Copyright Statement
    © 2015 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
    Subject
    Artificial intelligence not elsewhere classified
    Distributed computing and systems software
    Electronics, sensors and digital hardware
    Publication URI
    http://hdl.handle.net/10072/140001
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    • Journal articles

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