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Related papers: Conflict-Freedom as a Progress Condition

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In this work, we study progress conditions for commutativity-aware, linearizable implementations of shared objects. Motivated by the observation that commuting operations can be executed in parallel, we introduce…

Distributed, Parallel, and Cluster Computing · Computer Science 2026-02-05 Petr Kuznetsov , Pierre Sutra , Guillermo Toyos-Marfurt

A data structure is called history independent if its internal memory representation does not reveal the history of operations applied to it, only its current state. In this paper we study history independence for concurrent data…

Distributed, Parallel, and Cluster Computing · Computer Science 2024-07-19 Hagit Attiya , Michael A. Bender , Martin Farach-Colton , Rotem Oshman , Noa Schiller

Correctness of concurrent objects is defined in terms of safety properties such as linearizability, sequential consistency, and quiescent consistency, and progress properties such as wait-, lock-, and obstruction-freedom. These properties,…

Distributed, Parallel, and Cluster Computing · Computer Science 2016-03-07 Brijesh Dongol , Lindsay Groves

Lock-free data objects offer several advantages over their blocking counterparts, such as being immune to deadlocks and convoying and, more importantly, being highly concurrent. But they share a common disadvantage in that the operations…

Distributed, Parallel, and Cluster Computing · Computer Science 2009-10-05 Daniel Cederman , Philippas Tsigas

Transactional memory (TM) is an inherently optimistic abstraction: it allows concurrent processes to execute sequences of shared-data accesses (transactions) speculatively, with an option of aborting them in the future. Early TM designs…

Distributed, Parallel, and Cluster Computing · Computer Science 2016-03-07 Petr Kuznetsov , Srivatsan Ravi

This paper presents a {theoretical study} of the problem of verifying linearizability at runtime, where one seeks for a concurrent algorithm for verifying that the current execution of a given concurrent shared object implementation is…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-11-14 Armando Castañeda , Gilde Valeria Rodríguez

Lock-free concurrent algorithms guarantee that some concurrent operation will always make progress in a finite number of steps. Yet programmers prefer to treat concurrent code as if it were wait-free, guaranteeing that all operations always…

Distributed, Parallel, and Cluster Computing · Computer Science 2013-11-18 Dan Alistarh , Keren Censor-Hillel , Nir Shavit

In classical asynchronous distributed systems composed of a fixed number n of processes where some proportion may fail by crashing, many objects do not have a wait-free linearizable implementation (e.g. stacks, queues, etc.). It has been…

Distributed, Parallel, and Cluster Computing · Computer Science 2019-08-07 Grégoire Bonin , Achour Mostéfaoui , Matthieu Perrin

This paper considers the modeling and the analysis of the performance of lock-free concurrent data structures. Lock-free designs employ an optimistic conflict control mechanism, allowing several processes to access the shared data object at…

Data Structures and Algorithms · Computer Science 2015-08-17 Aras Atalar , Paul Renaud-Goud , Philippas Tsigas

A system, which implements persistent objects, has to provide different opportunities to change the objects in arbitrary ways during their existence. A traditional realization of OO paradigm in modern programming systems has fundamental…

Programming Languages · Computer Science 2013-04-12 Evgeniy Grigoriev

When is coordination intrinsically required by a distributed specification, rather than imposed by a particular protocol or implementation strategy? We give a general answer using minimal assumptions. In an asynchronous message-passing…

Distributed, Parallel, and Cluster Computing · Computer Science 2026-02-18 Joseph M. Hellerstein

The fundamental tension between availability and consistency shapes the design of distributed storage systems. Classical results capture extreme points of this trade-off: the CAP theorem shows that strong models like linearizability…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-10-29 Hagit Attiya , Constantin Enea , Enrique Román-Calvo

Guaranteeing the validity of concurrent operations on distributed objects is a key property for ensuring reliability and consistency in distributed systems. Usually, the methods for validating these operations, if present, are wired in the…

Distributed, Parallel, and Cluster Computing · Computer Science 2022-05-27 Antonio Fernández Anta , Chryssis Georgiou , Nicolas Nicolaou , Antonio Russo

Concurrency has been a subject of study for more than 50 years. Still, many developers struggle to adapt their sequential code to be accessed concurrently. This need has pushed for generic solutions and specific concurrent data structures.…

Distributed, Parallel, and Cluster Computing · Computer Science 2019-11-06 Andreia Correia , Pedro Ramalhete , Pascal Felber

This paper studies the relation between agreement and strongly linearizable implementations of various objects. This leads to new results about implementations of concurrent objects from various primitives including window registers and…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-09-03 Hagit Attiya , Armando Castañeda , Constantin Enea

Linearizability is the de facto consistency condition for concurrent objects, widely used in theory and practice. Loosely speaking, linearizability classifies concurrent executions as correct if operations on shared objects appear to take…

Distributed, Parallel, and Cluster Computing · Computer Science 2021-07-30 Gal Sela , Maurice Herlihy , Erez Petrank

We sketch a simple language of concurrent objects which explores the design space between type systems and continuous testing. In our language, programs are collections of communicating automata checked automatically for multiparty…

Programming Languages · Computer Science 2016-09-08 Roly Perera , Simon J. Gay

Each application developer desires to provide its users with consistent results and an always-available system despite failures. Boldly, the CALM theorem disagrees. It states that it is hard to design a system that is both consistent and…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-08-25 Junchao Chen , Suyash Gupta , Daniel P. Hughes , Mohammad Sadoghi

Tasks and objects are two predominant ways of specifying distributed problems. A task is specified by an input/output relation, defining for each set of processes that may run concurrently, and each assignment of inputs to the processes in…

Distributed, Parallel, and Cluster Computing · Computer Science 2015-07-02 Armando Castaneda , Michel Raynal , Sergio Rajsbaum

The $k$-set agreement problem is a generalization of the consensus problem. Namely, assuming each process proposes a value, each non-faulty process has to decide a value such that each decided value was proposed, and no more than $k$…

Distributed, Parallel, and Cluster Computing · Computer Science 2015-07-03 Zohir Bouzid , Michel Raynal , Pierre Sutra
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