Search Results - key work parallel/distributed algorithms*

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  1. 1
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    An adaptive distributed resampling algorithm with non-proportional allocation by Demirel, Omer, Smal, Ihor, Niessen, Wiro, Meijering, Erik, Sbalzarini, Ivo F.

    ISSN: 1520-6149
    Published: IEEE 01.05.2014
    “…The distributed resampling algorithm with non-proportional allocation (RNA) [1] is key to implementing particle filtering applications on parallel computer systems…”
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  2. 2
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    Parallel breadth-first search on distributed memory systems by Buluç, Aydin, Madduri, Kamesh

    ISBN: 145030771X, 9781450307710
    ISSN: 2167-4329
    Published: New York, NY, USA ACM 12.11.2011
    “… In this work, we explore the design space of parallel algorithms for Breadth-First Search (BFS), a key subroutine in several graph algorithms…”
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  3. 3
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    Efficient Anytime Anywhere Algorithms for Closeness Centrality in Large and Dynamic Graphs by Santos, Eunice E., Korah, John, Murugappan, Vairavan, Subramanian, Suresh

    Published: IEEE 01.05.2016
    “… In our previous work, we presented an overarching anytime anywhere framework for designing parallel and distributed social network analysis algorithms that are scalable to large network sizes and can handle dynamism…”
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  4. 4
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    Commutative Algorithms Approximate the LLL-distribution by Iliopoulos, Fotis

    ISSN: 2331-8422
    Published: Ithaca Cornell University Library, arXiv.org 08.06.2019
    Published in arXiv.org (08.06.2019)
    “… to: derive deterministic, parallel and distributed algorithms for the LLL, to estimate the entropy of the output distribution, to partially avoid bad events, to deal with super-polynomially many bad…”
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  5. 5
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    Parallel Breadth-First Search on Distributed Memory Systems by Aydin Buluc, Madduri, Kamesh

    ISSN: 2331-8422
    Published: Ithaca Cornell University Library, arXiv.org 14.10.2011
    Published in arXiv.org (14.10.2011)
    “… In this work, we explore the design space of parallel algorithms for Breadth-First Search (BFS), a key subroutine in several graph algorithms…”
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  6. 6
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    Adaptive Distributed Resampling Algorithm with Non-Proportional Allocation by Demirel, Ömer, Smal, Ihor, Niessen, Wiro, Meijering, Erik, Sbalzarini, Ivo F

    ISSN: 2331-8422
    Published: Ithaca Cornell University Library, arXiv.org 26.10.2013
    Published in arXiv.org (26.10.2013)
    “…The distributed resampling algorithm with proportional allocation (RNA) is key to implementing particle filtering applications on parallel computer systems…”
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  7. 7
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    Skew and scalability of parallel joins on multicomputers by Walton, Christopher Brian

    ISBN: 9798208248300
    Published: ProQuest Dissertations & Theses 01.01.1992
    “…When data are uniformly distributed, parallel join algorithms scale up well. However, scalability is curtailed by data skew--non-uniform distribution of join key values and tuples…”
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    Dissertation
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