Suchergebnisse - "parallel graph algorithm"

  1. 1

    Parallel Algorithm for Approximate State Graph Exploration With Restricted Memory Footprint von Keller, Jörg, Litzinger, Sebastian

    ISSN: 1532-0626, 1532-0634, 1532-0634
    Veröffentlicht: Hoboken, USA John Wiley & Sons, Inc 01.01.2026
    Veröffentlicht in Concurrency and computation (01.01.2026)
    “… We investigate the performance of algorithms that explore large state graphs of finite state machines without input by following paths. To improve on …”
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  2. 2

    Anti-Section Transitive Closure von Green, Oded, Du, Zhihui, Patel, Sanyamee, Xie, Zehui, Liu, Hang, Bader, David A.

    ISSN: 2640-0316
    Veröffentlicht: IEEE 01.12.2021
    “… The transitive closure of a graph is a new graph where every vertex is directly connected to all vertices to which it had a path in the original graph …”
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    Parallel Algorithm for Single-Source Earliest-Arrival Problem in Temporal Graphs von Peng Ni, Hanai, Masatoshi, Wen Jun Tan, Chen Wang, Wentong Cai

    ISSN: 2332-5690
    Veröffentlicht: IEEE 01.08.2017
    “… Many real-world networks, including online social networks and communication networks, are commonly modeled as temporal graphs. Answering earliest-arrival …”
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  4. 4

    Scaling Betweenness Approximation to Billions of Edges by MPI-based Adaptive Sampling von van der Grinten, Alexander, Meyerhenke, Henning

    ISSN: 1530-2075
    Veröffentlicht: IEEE 01.05.2020
    “… Betweenness centrality is one of the most popular vertex centrality measures in network analysis. Hence, many (sequential and parallel) algorithms to compute …”
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  5. 5

    Ant Colony-Inspired Parallel Algorithm to Improve Cryptographic Pseudo Random Number Generators von Keller, Jorg, Spenger, Gabriele, Wendzel, Steffen

    Veröffentlicht: IEEE 01.05.2017
    Veröffentlicht in 2017 IEEE Security and Privacy Workshops (SPW) (01.05.2017)
    “… We present a parallel algorithm to compute promising candidate states for modifying the state space of a pseudo-random number generator in order to increase …”
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    Parallel Breadth First Search on GPU clusters von Zhisong Fu, Dasari, Harish Kumar, Bebee, Bradley, Berzins, Martin, Thompson, Bryan

    Veröffentlicht: IEEE 01.10.2014
    “… Fast, scalable, low-cost, and low-power execution of parallel graph algorithms is important for a wide variety of commercial and public sector applications …”
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    An efficient parallel graph edge matching algorithm and its applications von Ma, Jun, Ma, Shaohan

    ISSN: 1000-9000, 1860-4749
    Veröffentlicht: Beijing Springer Nature B.V 01.03.1999
    Veröffentlicht in Journal of computer science and technology (01.03.1999)
    “… A fast and efficient parallel algorithm for finding a maximal edge matching in an undirected graphG(V,E) is proposed. It runs inO(logn) time with (M/logn+n) …”
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  8. 8

    Finding biconnected componemts and computing tree functions in logarithmic parallel time von Tarjan, R.E., Vishkin, U.

    ISBN: 081860591X, 9780818605918
    ISSN: 0272-5428
    Veröffentlicht: IEEE 1984
    “… We propose a new algorithm for finding the blocks (biconnected components) of an undirected graph. A serial implementation runs in 0[n+m] time and space on a …”
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    GreediRIS: Scalable influence maximization using distributed streaming maximum cover von Barik, Reet, Cappa, Wade, Ferdous, S.M., Minutoli, Marco, Halappanavar, Mahantesh, Kalyanaraman, Ananth

    ISSN: 0743-7315
    Veröffentlicht: United States Elsevier Inc 01.04.2025
    Veröffentlicht in Journal of parallel and distributed computing (01.04.2025)
    “… Influence maximization—the problem of identifying a subset of k influential seeds (vertices) in a network—is a classical problem in network science with …”
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    NetworKit: A tool suite for large-scale complex network analysis von STAUDT, CHRISTIAN L., SAZONOVS, ALEKSEJS, MEYERHENKE, HENNING

    ISSN: 2050-1242, 2050-1250
    Veröffentlicht: New York, USA Cambridge University Press 01.12.2016
    Veröffentlicht in Network science (Cambridge University Press) (01.12.2016)
    “… We introduce NetworKit, an open-source software package for analyzing the structure of large complex networks. Appropriate algorithmic solutions are required …”
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  12. 12

    Towards scaling community detection on distributed-memory heterogeneous systems von Gawande, Nitin, Ghosh, Sayan, Halappanavar, Mahantesh, Tumeo, Antonino, Kalyanaraman, Ananth

    ISSN: 0167-8191, 1872-7336
    Veröffentlicht: United States Elsevier B.V 01.07.2022
    Veröffentlicht in Parallel computing (01.07.2022)
    “… In most real-world networks, nodes/vertices tend to be organized into tightly-knit modules known as communities or clusters such that nodes within a community …”
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  13. 13

    Parallel Algorithm for Incremental Betweenness Centrality on Large Graphs von Jamour, Fuad, Skiadopoulos, Spiros, Kalnis, Panos

    ISSN: 1045-9219, 1558-2183
    Veröffentlicht: New York IEEE 01.03.2018
    “… Betweenness centrality quantifies the importance of nodes in a graph in many applications, including network analysis, community detection and identification …”
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  14. 14

    A memory efficient maximal clique enumeration method for sparse graphs with a parallel implementation von Yu, Ting, Liu, Mengchi

    ISSN: 0167-8191, 1872-7336
    Veröffentlicht: Elsevier B.V 01.09.2019
    Veröffentlicht in Parallel computing (01.09.2019)
    “… •We propose a memory efficient method, CMC-bit, for maximal clique enumeration on real-world sparse graphs.•We use an efficient order strategy to reduce both …”
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    BFS-4K: An Efficient Implementation of BFS for Kepler GPU Architectures von Busato, Federico, Bombieri, Nicola

    ISSN: 1045-9219, 1558-2183
    Veröffentlicht: New York IEEE 01.07.2015
    “… Breadth-first search (BFS) is one of the most common graph traversal algorithms and the building block for a wide range of graph applications. With the advent …”
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    A performance predictor for implementation selection of parallelized static and temporal graph algorithms von Rehman, Akif, Ahmad, Masab, Khan, Omer

    ISSN: 1532-0626, 1532-0634
    Veröffentlicht: Hoboken Wiley Subscription Services, Inc 25.01.2022
    Veröffentlicht in Concurrency and computation (25.01.2022)
    “… Task‐based execution of graph workloads allows various ordered and unordered implementations, with tasks representing dependencies between graph vertices and …”
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    Performance Evaluation of Parallel Graphs Algorithms Utilizing Graphcore IPU von Gepner, Paweł, Kocot, Bartłomiej, Paprzycki, Marcin, Ganzha, Maria, Moroz, Leonid, Olas, Tomasz

    ISSN: 2079-9292, 2079-9292
    Veröffentlicht: Basel MDPI AG 01.06.2024
    Veröffentlicht in Electronics (Basel) (01.06.2024)
    “… Recent years have been characterized by increasing interest in graph computations. This trend can be related to the large number of potential application …”
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    Graph coloring algorithms for multi-core and massively multithreaded architectures von Çatalyürek, Ümit V., Feo, John, Gebremedhin, Assefaw H., Halappanavar, Mahantesh, Pothen, Alex

    ISSN: 0167-8191, 1872-7336
    Veröffentlicht: Elsevier B.V 01.10.2012
    Veröffentlicht in Parallel computing (01.10.2012)
    “… ► We explore the interplay between architectures and algorithm design for graph problems. ► We target multi-core platforms and a massively multithreaded …”
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    High-performance and balanced parallel graph coloring on multicore platforms von Giannoula, Christina, Peppas, Athanasios, Goumas, Georgios, Koziris, Nectarios

    ISSN: 0920-8542, 1573-0484
    Veröffentlicht: New York Springer US 01.04.2023
    Veröffentlicht in The Journal of supercomputing (01.04.2023)
    “… Graph coloring is widely used to parallelize scientific applications by identifying subsets of independent tasks that can be executed simultaneously. Graph …”
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    Distributed Graph Diameter Approximation von Ceccarello, Matteo, Pietracaprina, Andrea, Pucci, Geppino, Upfal, Eli

    ISSN: 1999-4893, 1999-4893
    Veröffentlicht: Basel MDPI AG 01.09.2020
    Veröffentlicht in Algorithms (01.09.2020)
    “… We present an algorithm for approximating the diameter of massive weighted undirected graphs on distributed platforms supporting a MapReduce-like abstraction …”
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