Search Results - "parallel graph algorithm"

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  1. 1

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

    ISSN: 2640-0316
    Published: 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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    Conference Proceeding
  2. 2

    Parallel Algorithm for Single-Source Earliest-Arrival Problem in Temporal Graphs by Peng Ni, Hanai, Masatoshi, Wen Jun Tan, Chen Wang, Wentong Cai

    ISSN: 2332-5690
    Published: 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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    Conference Proceeding
  3. 3

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

    ISSN: 1530-2075
    Published: 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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    Conference Proceeding
  4. 4

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

    Published: IEEE 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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    Conference Proceeding
  5. 5

    Parallel Breadth First Search on GPU clusters by Zhisong Fu, Dasari, Harish Kumar, Bebee, Bradley, Berzins, Martin, Thompson, Bryan

    Published: 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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    Conference Proceeding
  6. 6

    An efficient parallel graph edge matching algorithm and its applications by Ma, Jun, Ma, Shaohan

    ISSN: 1000-9000, 1860-4749
    Published: Beijing Springer Nature B.V 01.03.1999
    Published 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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    Journal Article
  7. 7

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

    ISBN: 081860591X, 9780818605918
    ISSN: 0272-5428
    Published: 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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    Conference Proceeding
  8. 8

    GreediRIS: Scalable influence maximization using distributed streaming maximum cover by Barik, Reet, Cappa, Wade, Ferdous, S.M., Minutoli, Marco, Halappanavar, Mahantesh, Kalyanaraman, Ananth

    ISSN: 0743-7315
    Published: United States Elsevier Inc 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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    Journal Article
  9. 9

    NetworKit: A tool suite for large-scale complex network analysis by STAUDT, CHRISTIAN L., SAZONOVS, ALEKSEJS, MEYERHENKE, HENNING

    ISSN: 2050-1242, 2050-1250
    Published: New York, USA 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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    Journal Article
  10. 10

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

    ISSN: 0167-8191, 1872-7336
    Published: United States Elsevier B.V 01.07.2022
    Published 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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    Journal Article
  11. 11

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

    ISSN: 1045-9219, 1558-2183
    Published: 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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    Journal Article
  12. 12

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

    ISSN: 0167-8191, 1872-7336
    Published: Elsevier B.V 01.09.2019
    Published 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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    Journal Article
  13. 13

    BFS-4K: An Efficient Implementation of BFS for Kepler GPU Architectures by Busato, Federico, Bombieri, Nicola

    ISSN: 1045-9219, 1558-2183
    Published: 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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    Journal Article
  14. 14

    A performance predictor for implementation selection of parallelized static and temporal graph algorithms by Rehman, Akif, Ahmad, Masab, Khan, Omer

    ISSN: 1532-0626, 1532-0634
    Published: Hoboken Wiley Subscription Services, Inc 25.01.2022
    Published 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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    Journal Article
  15. 15

    Performance Evaluation of Parallel Graphs Algorithms Utilizing Graphcore IPU by Gepner, Paweł, Kocot, Bartłomiej, Paprzycki, Marcin, Ganzha, Maria, Moroz, Leonid, Olas, Tomasz

    ISSN: 2079-9292, 2079-9292
    Published: Basel MDPI AG 01.06.2024
    Published 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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    Journal Article
  16. 16

    Graph coloring algorithms for multi-core and massively multithreaded architectures by Çatalyürek, Ümit V., Feo, John, Gebremedhin, Assefaw H., Halappanavar, Mahantesh, Pothen, Alex

    ISSN: 0167-8191, 1872-7336
    Published: Elsevier B.V 01.10.2012
    Published 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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    Journal Article
  17. 17

    High-performance and balanced parallel graph coloring on multicore platforms by Giannoula, Christina, Peppas, Athanasios, Goumas, Georgios, Koziris, Nectarios

    ISSN: 0920-8542, 1573-0484
    Published: New York Springer US 01.04.2023
    Published 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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    Journal Article
  18. 18

    Distributed Graph Diameter Approximation by Ceccarello, Matteo, Pietracaprina, Andrea, Pucci, Geppino, Upfal, Eli

    ISSN: 1999-4893, 1999-4893
    Published: Basel MDPI AG 01.09.2020
    Published 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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    Journal Article
  19. 19

    Optimizing Graph Algorithms in Asymmetric Multicore Processors by Krishna, Jyothi V.S., Nasre, Rupesh

    ISSN: 0278-0070, 1937-4151
    Published: New York IEEE 01.11.2018
    “…Asymmetric multicore processors (AMP) fall under a special subcategory of modern-day heterogeneous multicore architectures with different participating core…”
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    Journal Article
  20. 20

    A scalable, parallel algorithm for maximal clique enumeration by Schmidt, Matthew C., Samatova, Nagiza F., Thomas, Kevin, Park, Byung-Hoon

    ISSN: 0743-7315, 1096-0848
    Published: Amsterdam Elsevier Inc 01.04.2009
    “…The problem of maximal clique enumeration (MCE) is to enumerate all of the maximal cliques in a graph. Once enumerated, maximal cliques are widely used to…”
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    Journal Article