• DocumentCode
    535928
  • Title

    Design and Implementation of Jacobi Algorithms on GPU

  • Author

    Lin, Jinxian ; Chen, Ying

  • Author_Institution
    Network Inf. Center, Fuzhou Univ., Fuzhou, China
  • Volume
    1
  • fYear
    2010
  • fDate
    23-24 Oct. 2010
  • Firstpage
    448
  • Lastpage
    450
  • Abstract
    With the development of GPU, the GPU´s float-point computing capacity improves rapidly. How to apply the float-point ability of GPU to the non-graphic computing field becomes a highlight in the research of high performance computing. Jacobi is a typical application in scientific computing. This paper designs and implements Jacobi Algorithm on Nvidia´s CUDA platform and gets a good speedup compared with the CPU.
  • Keywords
    computer graphic equipment; coprocessors; floating point arithmetic; linear algebra; GPU; Jacobi algorithms; Nvidia CUDA platform; float-point computing; high performance computing; Algorithm design and analysis; Graphics; Graphics processing unit; Instruction sets; Jacobian matrices; Kernel; Vectors; GPU; HPC; Jacobi Algorithms;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Artificial Intelligence and Computational Intelligence (AICI), 2010 International Conference on
  • Conference_Location
    Sanya
  • Print_ISBN
    978-1-4244-8432-4
  • Type

    conf

  • DOI
    10.1109/AICI.2010.100
  • Filename
    5655621