A dynamic elimination-combining stack algorithm

Gal Bar-Nissan, Danny Hendler, Adi Suissa

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

7 Scopus citations


Two key synchronization paradigms for the construction of scalable concurrent data-structures are software combining and elimination. Elimination-based concurrent data-structures allow operations with reverse semantics (such as push and pop stack operations) to "collide" and exchange values without having to access a central location. Software combining, on the other hand, is effective when colliding operations have identical semantics: when a pair of threads performing operations with identical semantics collide, the task of performing the combined set of operations is delegated to one of the threads and the other thread waits for its operation(s) to be performed. Applying this mechanism iteratively can reduce memory contention and increase throughput. The most highly scalable prior concurrent stack algorithm is the elimination-backoff stack [5]. The elimination-backoff stack provides high parallelism for symmetric workloads in which the numbers of push and pop operations are roughly equal, but its performance deteriorates when workloads are asymmetric. We present DECS, a novel Dynamic Elimination-Combining Stack algorithm, that scales well for all workload types. While maintaining the simplicity and low-overhead of the elimination-bakcoff stack, DECS manages to benefit from collisions of both identical- and reverse-semantics operations. Our empirical evaluation shows that DECS scales significantly better than both blocking and non-blocking best prior stack algorithms.

Original languageEnglish
Title of host publicationPrinciples of Distributed Systems - 15th International Conference, OPODIS 2011, Proceedings
Number of pages18
StatePublished - 26 Dec 2011
Event15th International Conference on Principles of Distributed Systems, OPODIS 2011 - Toulouse, France
Duration: 13 Dec 201116 Dec 2011

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume7109 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference15th International Conference on Principles of Distributed Systems, OPODIS 2011


  • Concurrent objects
  • combining
  • software elimination
  • stack

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science


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