• DocumentCode
    3297569
  • Title

    Parallel holographic image calculation and compression

  • Author

    Newman, Daniel M. ; Goeckel, Dennis L. ; Crawford, Richerd D. ; Abraham, Seth

  • Author_Institution
    Sch. of Electr. Eng., Purdue Univ., West Lafayette, IN, USA
  • fYear
    1992
  • fDate
    19-21 Oct 1992
  • Firstpage
    557
  • Lastpage
    559
  • Abstract
    The authors describe the parallel implementation of an algorithm suitable for hologram creation on a 16384 processor SIMD (single-instruction multiple-data) MasPar machine. When computing an image of typical complexity, the parallel implementation sacrifices up to 11% efficiency in data compression to gain a performance up to 250 times greater than that achieved on a uniprocessor workstation. The MasPar can achieve pattern generation more than 750 times faster than the fully optimized Sparc C code
  • Keywords
    computer-generated holography; data compression; image processing; parallel algorithms; performance evaluation; data compression; hologram creation; image calculation; parallel implementation; Concurrent computing; Data compression; Electron beams; Equations; Hardware; Holography; Image coding; Lithography; Performance gain; Software algorithms;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Frontiers of Massively Parallel Computation, 1992., Fourth Symposium on the
  • Conference_Location
    McLean, VA
  • Print_ISBN
    0-8186-2772-7
  • Type

    conf

  • DOI
    10.1109/FMPC.1992.234923
  • Filename
    234923