Powered by OpenAIRE graph
Found an issue? Give us feedback
https://doi.org/10.1...arrow_drop_down
https://doi.org/10.1007/119455...
Part of book or chapter of book . 2006 . Peer-reviewed
Data sources: Crossref
DBLP
Conference object . 2017
Data sources: DBLP
versions View all 2 versions
addClaim

Lock-Free Dynamically Resizable Arrays

Authors: Damian Dechev; Peter Pirkelbauer; Bjarne Stroustrup;

Lock-Free Dynamically Resizable Arrays

Abstract

We present a first lock-free design and implementation of a dynamically resizable array (vector). The most extensively used container in the C++ Standard Template Library (STL) is vector, offering a combination of dynamic memory management and constant-time random access. Our approach is based on a single 32-bit word atomic compare-and-swap (CAS) instruction. It provides a linearizable and highly parallelizable STL-like interface, lock-free memory allocation and management, and fast execution. Our current implementation is designed to be most efficient on multi-core architectures. Experiments on a dual-core Intel processor with shared L2 cache indicate that our lock-free vector outperforms its lock-based STL counterpart and the latest concurrent vector implementation provided by Intel by a large factor. The performance evaluation on a quad dual-core AMD system with non-shared L2 cache demonstrated timing results comparable to the best available lock-based techniques. The presented design implements the most common STL vector's interfaces, namely random access read and write, tail insertion and deletion, pre-allocation of memory, and query of the container's size. Using the current implementation, a user has to avoid one particular ABA problem.

Related Organizations
  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    34
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
34
Top 10%
Top 10%
Top 10%
Upload OA version
Are you the author of this publication? Upload your Open Access version to Zenodo!
It’s fast and easy, just two clicks!