Thu 11 Jan 2018 10:30 - 10:55 at Bunker Hill - Consistency Chair(s): Xinyu Feng

While many program properties like the validity of assertions and in-bounds array accesses admit nearly-trivial monitoring algorithms, the standard correctness criterion for concurrent data structures does not. Given an implementation of an arbitrary abstract data type, checking whether the operations invoked in one single concurrent execution are linearizable, i.e., indistinguishable from an execution where the same operations are invoked atomically, requires exponential time in the number of operations.

In this work we identify a class of collection abstract data types which admit polynomial-time linearizability monitors. Collections capture the majority of concurrent data structures available in practice, including stacks, queues, sets, and maps. Although monitoring executions of arbitrary abstract data types requires enumerating exponentially-many possible linearizations, collections enjoy combinatorial properties which avoid the enumeration. We leverage these properties to reduce linearizability to Horn satisfiability. As far as we know, ours is the first sound, complete, and tractable algorithm for monitoring linearizability for types beyond single-value registers.

Thu 11 Jan

POPL-2018-papers
10:30 - 12:10: Research Papers - Consistency at Bunker Hill
Chair(s): Xinyu FengUniversity of Science and Technology of China
POPL-2018-papers10:30 - 10:55
Talk
Michael EmmiNokia Bell Labs, Constantin EneaUniversité Paris Diderot
POPL-2018-papers10:55 - 11:20
Talk
Oded PadonTel Aviv University, Jochen HoenickeUniversität Freiburg, Giuliano LosaUniversity of California at Los Angeles, USA, Andreas PodelskiUniversity of Freiburg, Germany, Mooly SagivTel Aviv University, Sharon ShohamTel Aviv university
POPL-2018-papers11:20 - 11:45
Talk
Gowtham KakiPurdue University, Kartik NagarPurdue University, Mahsa NajafzadehPurdue University, Suresh JagannathanPurdue University
POPL-2018-papers11:45 - 12:10
Talk
Ilya SergeyUniversity College London, James R. WilcoxUniversity of Washington, Zachary TatlockUniversity of Washington
DOI Pre-print