Progress guarantees when composing lock-free objects
Paper i proceeding, 2011

Highly concurrent and reliable data objects are vital for parallel programming. Lock-free shared data objects are highly concurrent and guarantee that at least one operation, from a set of concurrently executed operations, finishes after a finite number of steps regardless of the state of the other operations. Lock-free data objects provide progress guarantees on the object level. In this paper, we first examine the progress guarantees provided by lock-free shared data objects that have been constructed by composing other lock-free data objects. We observe that although lock-free data objects are composable when it comes to linearizability, when it comes to progress guarantees they are not. More specifically we show that when a lock-free data object is used as a component (is shared) by two or more lock-free data objects concurrently, these objects can no longer guarantee lock-free progress. This makes it impossible for programmers to directly compose lock-free data objects and guarantee lock-freedom. To help programmability in concurrent settings, this paper presents a new synchronization mechanism for composing lock-free data objects. The proposed synchronization mechanism provides an interface to be used when calling a lock-free object from other lock-free objects, and guarantees lock-free progress for every object constructed. An experimental evaluation of the performance cost that the new mechanism introduces, as expected, for providing progress guarantees is also presented.

lock-free

composition

Författare

Dang Nhan Nguyen

Chalmers, Data- och informationsteknik, Nätverk och system

Philippas Tsigas

Chalmers, Data- och informationsteknik, Nätverk och system

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

03029743 (ISSN) 16113349 (eISSN)

Vol. Part II 148--159-
978-3-642-23396-8 (ISBN)

Styrkeområden

Informations- och kommunikationsteknik

Ämneskategorier

Datavetenskap (datalogi)

ISBN

978-3-642-23396-8

Mer information

Skapat

2017-10-06