• DocumentCode
    3738517
  • Title

    High performance GPU Bayesian image synthesis

  • Author

    Miguel C?rcamo;Fernando R. Rannou;Pablo E. Rom?n;Victor Moral;Simon Casassus

  • Author_Institution
    Departamento de Ingenier?a Inform?tica, Universidad de Santiago de Chile, Regi?n Metropolitana, Santiago, Chile
  • fYear
    2015
  • Firstpage
    264
  • Lastpage
    268
  • Abstract
    ALMA is a revolutionary instrument in its scientific concept, its engineering design and its organisation as a global effort. ALMA and new incoming radio-telescopes delivery big amounts of data that are useful to the sky image reconstruction. In this context, MEM is one of the most recognized reconstruction algorithms in radio-interferometry and is based on a Bayesian approach. Our results show that an GPU implementation of this algorithm on a half of and NVIDIA K80 is approximately 100 to 500 times faster than the multi-core implementation.
  • Keywords
    "Graphics processing units","Image reconstruction","Mathematical model","Kernel","Image generation","Entropy","Computational modeling"
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing and Information Technology (ISSPIT), 2015 IEEE International Symposium on
  • Type

    conf

  • DOI
    10.1109/ISSPIT.2015.7394340
  • Filename
    7394340
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3738517