• DocumentCode
    692833
  • Title

    Further improvements of parallel N-FINDR algorithm using NVidia GPUs

  • Author

    Wenfei Luo

  • Author_Institution
    Sch. of Geogr. Sci., South China Normal Univ., Guangzhou, China
  • fYear
    2012
  • fDate
    4-7 June 2012
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Based on our previous work about parallel implementation on N-FINDR in cluster environment, we give some supplements and further developed parallel N-FINDR algorithms by using NVidia graphics processing units (GPUs). Two characterizes are presented. First, extended volume calculation is further considered. Our proposed method is only involved in matrix-vector or vector-vector multiplication, which is suitable to be performed on GPUs. Second, due to the limitation of constant memory providing for GPUs, two patterns for parallel implementation of N-FINDR are considered with the imagery in both reduced and original dimension. In experiments, our proposed algorithms greatly improved the performance of N-FINDR and obtained nearly real-time capability.
  • Keywords
    geophysical image processing; graphics processing units; matrix multiplication; parallel algorithms; NVidia GPU; NVidia graphics processing units; cluster environment; constant memory; extended volume calculation; matrix-vector multiplication; parallel N-FINDR algorithm; vector-vector multiplication; Abstracts; Graphics processing units; Sensors; Vectors; GPUs; Hyperspectral remote sensing; N-FINDR; endmember extraction; high performance computing; spectral unmixing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS), 2012 4th Workshop on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4799-3405-8
  • Type

    conf

  • DOI
    10.1109/WHISPERS.2012.6874304
  • Filename
    6874304