• DocumentCode
    2190114
  • Title

    Graphics Card Computing for Cosmology: Cholesky Factorization

  • Author

    Gratton, Steven

  • Author_Institution
    Kavli Inst. for Cosmol., Univ. of Cambridge, Cambridge, UK
  • fYear
    2010
  • fDate
    June 29 2010-July 1 2010
  • Firstpage
    1207
  • Lastpage
    1212
  • Abstract
    Cosmological data sets are becoming so large as to make optimal statistical analyses of them impossible. Even with approximations made, the computational challenges can be severe. Cholesky Factorization of matrices is an essential tool. This paper reports on progress made by the author in implementing Cholesky Factorization on one or more graphics processing units (GPUs). Particular attention is paid to the process of the development of the algorithm in light of the characteristic features of the GPUs. Performance and optimization are discussed, and potential avenues for future development are presented.
  • Keywords
    astronomy computing; computer graphic equipment; coprocessors; cosmology; matrix decomposition; Cholesky matrix factorization; GPU; cosmological data sets; cosmology; graphic card computing; graphic processing units; optimal statistical analyses; Bandwidth; Data models; Graphics processing unit; Instruction sets; Kernel; Strips; Tiles; Determinants; Matrix Inversion; Parallel algorithms; Parallel and vector implementation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer and Information Technology (CIT), 2010 IEEE 10th International Conference on
  • Conference_Location
    Bradford
  • Print_ISBN
    978-1-4244-7547-6
  • Type

    conf

  • DOI
    10.1109/CIT.2010.218
  • Filename
    5577889