Given a sequential implementation of an arbitrary data object, a wait-free, linearizable concurrent implementation is constructed with space complexity quadratic in the number of processes. If processes do not concurrently invoke, the amortized time complexity of the invocations is independent of the number of processes. The worst case time complexity is linear in the number of processes. The construction is based on a compare&swap register. The correctness is proved by means of invariants and stability properties. Since it concerns memory reallocation by concurrent processes in a fault-tolerant setting, this proof is highly nontrivial.</p
Linearizability requires that the outcome of calls by competing threads to a concurrent data structu...
Abstract. Distributed algorithms are inherently complex to verify. In this paper we show how to veri...
As introduced by Taubenfeld, a contention-sensitive implementation of a concurrent object is an impl...
Given a sequential implementation of an arbitrary data object, a wait-free, linearizable concurrent ...
Given a sequential implementation of an arbitrary data object, a wait-free, linearizable concurrent ...
Given a sequential implementation of an arbitrary data object, a wait-free, linearizable concurrent ...
The correctness of a program for wait-free linearization of an arbitrary shared data object in bound...
The correctness of a program for wait-free linearization of an arbitrary shared data object in bound...
The correctness of a program for wait-free linearization of an arbitrary shared data object in bound...
The correctness of a program for wait-free linearization of an arbitrary shared data object in bound...
The correctness of a program for wait-free linearization of an arbitrary shared data object in bound...
Efficient implementations of data structures such as queues, stacks or hash-tables allow for concurr...
The correctness of a program for wait-free linearization of an arbitrary shared data object in bound...
The correctness of a program for wait-free linearization of an arbitrary shared data object in bound...
Linearizability requires that the outcome of calls by competing threads to a concurrent data structu...
Linearizability requires that the outcome of calls by competing threads to a concurrent data structu...
Abstract. Distributed algorithms are inherently complex to verify. In this paper we show how to veri...
As introduced by Taubenfeld, a contention-sensitive implementation of a concurrent object is an impl...
Given a sequential implementation of an arbitrary data object, a wait-free, linearizable concurrent ...
Given a sequential implementation of an arbitrary data object, a wait-free, linearizable concurrent ...
Given a sequential implementation of an arbitrary data object, a wait-free, linearizable concurrent ...
The correctness of a program for wait-free linearization of an arbitrary shared data object in bound...
The correctness of a program for wait-free linearization of an arbitrary shared data object in bound...
The correctness of a program for wait-free linearization of an arbitrary shared data object in bound...
The correctness of a program for wait-free linearization of an arbitrary shared data object in bound...
The correctness of a program for wait-free linearization of an arbitrary shared data object in bound...
Efficient implementations of data structures such as queues, stacks or hash-tables allow for concurr...
The correctness of a program for wait-free linearization of an arbitrary shared data object in bound...
The correctness of a program for wait-free linearization of an arbitrary shared data object in bound...
Linearizability requires that the outcome of calls by competing threads to a concurrent data structu...
Linearizability requires that the outcome of calls by competing threads to a concurrent data structu...
Abstract. Distributed algorithms are inherently complex to verify. In this paper we show how to veri...
As introduced by Taubenfeld, a contention-sensitive implementation of a concurrent object is an impl...