• DocumentCode
    3292306
  • Title

    Enhanced SAR Imaging Algorithm Development for Streaming Processors

  • Author

    Song Jun Park ; Shires, Dale ; Richie, David ; Ross, James

  • Author_Institution
    US Army Res. Lab. (ARL), Aberdeen Proving Ground, MD, USA
  • fYear
    2010
  • fDate
    14-17 June 2010
  • Firstpage
    396
  • Lastpage
    400
  • Abstract
    In the past few years, parallel processing has been the driving force behind improving performance. Instead of faster clocked processors, new generations of Intel or AMD processors provide more parallelism. Likewise, graphics processors also rely on a network of multiple cores or parallelism to accelerate computations involved in rendering graphics. This research examines the application of general purpose processing on graphics processors. The development process and programming effort of translating a side lobe minimization imaging algorithm to a graphics processing units (GPU) are considered for analysis. The purpose is to acquire a sufficient amount of experience and data to determine the feasibility of deploying a graphics card-complemented system for tactical and high performance computations.
  • Keywords
    computer graphic equipment; coprocessors; parallel processing; radar imaging; synthetic aperture radar; AMD processor; GPU; Intel processor; SAR imaging algorithm development; general purpose processing; graphics card; graphics processing unit; graphics processor; parallel processing; parallelism; side lobe minimization imaging algorithm; streaming processor; Computer architecture; Graphics; Graphics processing unit; Hardware; Parallel processing; Programming;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    High Performance Computing Modernization Program Users Group Conference (HPCMP-UGC), 2010 DoD
  • Conference_Location
    Schaumburg, IL
  • Print_ISBN
    978-1-61284-986-7
  • Type

    conf

  • DOI
    10.1109/HPCMP-UGC.2010.73
  • Filename
    6018042