• DocumentCode
    3773459
  • Title

    Parallel Implementation of OpenVX on Firefly2 GPU

  • Author

    Zhiquan Guo;Jungang Han;Fang Che;Tao Li

  • Author_Institution
    Sch. of Comput. Sci., Xi´An Univ. of Posts &
  • Volume
    1
  • fYear
    2015
  • Firstpage
    218
  • Lastpage
    221
  • Abstract
    Given the fact that the traditional GPU mainly supports the parallel computing with SIMD (Single Instruction Multiple Data) and SIMT (Single Instruction Multiple Thread) mode, the Firefly2 GPU (Graphic Processing Unit) has special hardware configuration mechanism and can be used for paralleling computing on data-level, thread-level and operated-level. This paper presents parallel implementation of OpenVX kernels on Firefly2 GPU with the method by combing the operation level parallelism with data level parallelism. Experimental results indicate satisfactory speedup of the parallel implementation and show that the Firefly2 is suitable for graphics and image processing.
  • Keywords
    "Parallel processing","Graphics processing units","Hardware","Kernel","Machine vision","Partitioning algorithms"
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Design (ISCID), 2015 8th International Symposium on
  • Print_ISBN
    978-1-4673-9586-1
  • Type

    conf

  • DOI
    10.1109/ISCID.2015.184
  • Filename
    7468937