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      Implementation of Scalable Lock-Free Vector with Combining

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            Abstract

            In Scalable Lock-Free Vector with Combining [1], Walulya and Tsigas introduce the first implementation of a concurrent, lock-free vector that utilizes combining to increase performance. In our project, we implement this concurrent vector as described in [1] and describe our approach here. We also implement a concurrent vector utilizing a Software Transactional Memory library. We compare the performance of our two implementations to each other and to the authors performance evaluations.

            Content

            Author and article information

            Journal
            ScienceOpen Preprints
            ScienceOpen
            30 May 2019
            Affiliations
            [1 ] University of Central Florida
            Author information
            https://orcid.org/0000-0002-4592-0850
            Article
            10.14293/S2199-1006.1.SOR-.PPMISNL.v1
            ec16c1fe-56f3-4694-ac42-36cf9e8d7e4a

            This work has been published open access under Creative Commons Attribution License CC BY 4.0 , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Conditions, terms of use and publishing policy can be found at www.scienceopen.com .

            History

            The datasets generated during and/or analysed during the current study are available from the corresponding author on reasonable request.
            Data structures & Algorithms
            lock-free vector,concurrent vector,Software Transactional Memory

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