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Faster linearizability checking via PPP-compositionality

1 April 2015
Alex Horn
Daniel Kroening
    CoGe
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Abstract

Linearizability is a well-established consistency and correctness criterion for concurrent data types. An important feature of linearizability is Herlihy and Wing's locality principle, which says that a concurrent system is linearizable if and only if all of its constituent parts (so-called objects) are linearizable. This paper presents PPP-compositionality, which generalizes the idea behind the locality principle to operations on the same concurrent data type. We implement PPP-compositionality in a novel linearizability checker. Our experiments with over nine implementations of concurrent sets, including Intel's TBB library, show that our linearizability checker is one order of magnitude faster and/or more space efficient than the state-of-the-art algorithm.

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