• DocumentCode
    2885223
  • Title

    Obtaining a 35x Speedup in 2D Phase Unwrapping Using Commodity Graphics Processors

  • Author

    Karasev, P.A. ; Campbell, Daniel P. ; Richards, Mark A.

  • Author_Institution
    Georgia Inst. of Technol., Atlanta
  • fYear
    2007
  • fDate
    17-20 April 2007
  • Firstpage
    574
  • Lastpage
    578
  • Abstract
    Graphics processing units (GPUs) are a powerful tool for numerical computation. The GPU architecture and computational model are uniquely designed for high-resolution high-speed grid-based calculations. This capability can be utilized to accelerate certain classes of compute-intensive radar signal processing algorithms. Characteristics of a problem well-suited for computation on a GPU include high levels of data parallelism, low control logic, uniform boundary conditions, and well-defined input and output. We describe the implementation of two-dimensional multigrid least-squares weighted phase unwrapping on a GPU and demonstrate a large speedup over C and MATLAB implementations. Details of the GPU computation are provided. Background information on the GPU architecture and its applicability to general-purpose computation is discussed.
  • Keywords
    computer graphic equipment; differential equations; least squares approximations; microprocessor chips; radar computing; radar signal processing; 2D multigrid least-squares weighted phase unwrapping; 2D phase unwrapping; GPU architecture; commodity graphics processors; computational model; data parallelism; graphics processing units; high-resolution high-speed grid-based calculation; low control logic; numerical computation; radar signal processing; uniform boundary condition; Acceleration; Computational modeling; Computer architecture; Concurrent computing; Graphics; Grid computing; Mathematical model; Parallel processing; Radar signal processing; Signal processing algorithms;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Radar Conference, 2007 IEEE
  • Conference_Location
    Boston, MA
  • ISSN
    1097-5659
  • Print_ISBN
    1-4244-0284-0
  • Electronic_ISBN
    1097-5659
  • Type

    conf

  • DOI
    10.1109/RADAR.2007.374282
  • Filename
    4250376