Search Results - "Parallel and Distributed Computing Framework"

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  1. 1

    Blink: Towards Efficient RDMA-based Communication Coroutines for Parallel Python Applications by Shafi, Aamir, Hashmi, Jahanzeb Maqbool, Subramoni, Hari, Panda, Dhabaleswar K.

    ISSN: 2640-0316
    Published: IEEE 01.12.2020
    “…Python is emerging as a popular language in the data science community due to its ease-of-use, vibrant community, and rich set of libraries. Dask is a popular…”
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    Conference Proceeding
  2. 2

    A parallel distributed computing framework for Newton–Raphson load flow analysis of large interconnected power systems by Sreerama Kumar, R., Chandrasekharan, E.

    ISSN: 0142-0615, 1879-3517
    Published: Elsevier Ltd 01.12.2015
    “…]. This paper proposes a simple parallel and distributed computing framework for the conventional Newton–Raphson load flow (NRLF…”
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    Journal Article
  3. 3

    A study on PGEP to evolve heuristic rules for FJSSP considering the total cost of energy consumption and weighted tardiness by Zhang, Shaqing, Zhong, Junrui, Yang, Haidong, Li, Zhantao, Liu, Guosheng

    ISSN: 2238-3603, 1807-0302
    Published: Cham Springer International Publishing 01.12.2019
    Published in Computational & applied mathematics (01.12.2019)
    “…Performance indicators such as makespan, flow time and tardiness are considered to be optimisation objectives in the traditional flexible job shop scheduling…”
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    Journal Article
  4. 4

    Efficient MPI-based Communication for GPU-Accelerated Dask Applications by Shafi, Aamir, Hashmi, Jahanzeb Maqbool, Subramoni, Hari, Panda, Dhabaleswar K. DK

    Published: IEEE 01.05.2021
    “…Dask is a popular parallel and distributed computing framework, which rivals Apache Spark to enable task-based scalable processing of big data…”
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    Conference Proceeding
  5. 5

    i2Graph: An Incremental Iterative Computation Model for Large Scale Dynamic Graphs by Tang, Zhuo, He, Mengsi, Yang, Li, Fu, Zhongming

    Published: IEEE 01.12.2019
    “…Due to the rapid changes in graph data sets, the mined information will quickly become obsolete, thus the entire data set needs to be re-computed from the…”
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    Conference Proceeding
  6. 6

    Pix: Parallel and Declarative Toolkits for Interactive Data Visualization by Li, Jianping (Kelvin)

    ISBN: 9798698525226
    Published: ProQuest Dissertations & Theses 01.01.2020
    “…Visualization helps people to understand data and information. Although computers can efficiently process data, human perception is the key to insight and…”
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    Dissertation
  7. 7
  8. 8

    Using Big Data Analytics for Authorship Authentication of Arabic Tweets by Albadarneh, Jafar, Talafha, Bashar, Al-Ayyoub, Mahmoud, Zaqaibeh, Belal, Al-Smadi, Mohammad, Jararweh, Yaser, Benkhelifa, Elhadj

    Published: ACM 01.12.2015
    “…Authorship authentication of a certain text is concerned with correctly attributing it to its author based on its contents. It is a very important problem with…”
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    Conference Proceeding
  9. 9

    A MapReduce Optimization Method on Hadoop Cluster by Xiaodong Wu

    Published: IEEE 01.12.2015
    “…The MapReduce parallel and distributed computing framework has been widely applied in both academia and industry…”
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    Conference Proceeding
  10. 10

    Efficient MPI-based Communication for GPU-Accelerated Dask Applications by Shafi, Aamir, Jahanzeb Maqbool Hashmi, Subramoni, Hari, Panda, Dhabaleswar K

    ISSN: 2331-8422
    Published: Ithaca Cornell University Library, arXiv.org 21.01.2021
    Published in arXiv.org (21.01.2021)
    “…Dask is a popular parallel and distributed computing framework, which rivals Apache Spark to enable task-based scalable processing of big data…”
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    Paper
  11. 11

    Using big data analytics for authorship authentication of arabic tweets by Albadarneh, Jafar, Talafha, Bashar, Al-Ayyoub, Mahmoud, Zaqaibeh, Belal, Al-Smadi, Mohammad, Jararweh, Yaser, Benkhelifa, Elhadj

    ISBN: 0769556973, 9780769556970
    Published: Piscataway, NJ, USA IEEE Press 07.12.2015
    “…Authorship authentication of a certain text is concerned with correctly attributing it to its author based on its contents. It is a very important problem with…”
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    Conference Proceeding
  12. 12

    A course on big data analytics by Eckroth, Joshua

    ISSN: 0743-7315, 1096-0848
    Published: Elsevier Inc 01.08.2018
    “… The course is heavily focused on projects and writing code for big data processing. It is designed to help students learn parallel and distributed computing frameworks and techniques commonly used in industry…”
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    Journal Article
  13. 13

    A fuzzy logic system and VDF adaptive iteration-based metaverse secure authentication scheme by Bao, Shuang, Li, Lixiang, Peng, Haipeng, Zhang, Ran

    ISSN: 1573-0484, 0920-8542, 1573-0484
    Published: New York Springer Nature B.V 07.11.2025
    Published in The Journal of supercomputing (07.11.2025)
    “…With the rapid development of metaverse technology, there is a growing demand for authentication and data transmission during the interaction between virtual…”
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    Journal Article
  14. 14

    A fuzzy logic system and VDF adaptive iteration-based metaverse secure authentication scheme: A fuzzy logic system and VDF adaptive iteration by Bao, Shuang, Li, Lixiang, Peng, Haipeng, Zhang, Ran

    ISSN: 1573-0484
    Published: New York Springer US 07.11.2025
    Published in The Journal of supercomputing (07.11.2025)
    “…With the rapid development of metaverse technology, there is a growing demand for authentication and data transmission during the interaction between virtual…”
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    Journal Article
  15. 15

    NNB: An efficient nearest neighbor search method for hierarchical clustering on large datasets by Zhang, Wei, Zhang, Gongxuan, Wang, Yongli, Zhu, Zhaomeng, Li, Tao

    Published: IEEE 01.02.2015
    “…(NBC), and the proposed algorithm can also be adapted to the parallel and distributed computing frameworks…”
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    Conference Proceeding
  16. 16

    A Machine Learning Application for Electric Power Industrial Big-Data Based on Hadoop by Huang, Xin, Jiang, Pohuang, Ma, Jun

    Published: IEEE 01.07.2018
    “…In the era of big data, many industries have begun to embrace analytics to exploit value from big data, while electric power industrial applications rely on parallel and distributed computing…”
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    Conference Proceeding