• DocumentCode
    721080
  • Title

    Petroleum Geoscience Big Data and GPU Parallel Computing

  • Author

    Fei Han ; Sun, Sam Z.

  • Author_Institution
    Lab. for Integration of Geol. & Geophys. (LIGG), China Univ. of Pet., Beijing, China
  • fYear
    2015
  • fDate
    20-22 April 2015
  • Firstpage
    292
  • Lastpage
    293
  • Abstract
    Petroleum geoscience big data is defined in this paper. CPU/GPU hybrid system is used to try to accelerate computing speed of petroleum geoscience big data using chaotic quantum particle swarm optimization (CQPSO) inversion method as an example, and the computing time of CQPSO is reduced significantly.
  • Keywords
    Big Data; geophysics computing; graphics processing units; particle swarm optimisation; petroleum industry; CPU-GPU hybrid system; CQPSO; GPU parallel computing; chaotic quantum particle swarm optimization; computing time; inversion method; petroleum geoscience big data; Algorithm design and analysis; Big data; Clustering algorithms; Geoscience; Graphics processing units; Parallel processing; Petroleum; GPU parallel computing; Petroleum geoscience big data;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Multimedia Big Data (BigMM), 2015 IEEE International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4799-8687-3
  • Type

    conf

  • DOI
    10.1109/BigMM.2015.59
  • Filename
    7153902
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=721080