• DocumentCode
    1816231
  • Title

    Sound propagation cellular processors architectures, comparisons and performances

  • Author

    Dogaru, Radu ; Dogaru, Ioana ; Zamfir, Narcis ; Aiordachioaie, Dorel

  • Author_Institution
    Dept. of Appl. Electron. & Inf. Eng., Univ. Politeh. of Bucharest, Bucharest, Romania
  • fYear
    2012
  • fDate
    29-31 Aug. 2012
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    The aim of this paper is to discuss and compare several architectural possibilities for implementing a simulator for (ultra) sound propagation in a controlled environment (e.g. using specified obstacles and signal sources). Although initially such sound propagation simulators were designed to assist the design of robotic "ears" of autonomous agents trying to reconstruct an image of the environment, its use expands beyond its initial goals. We are particularly interested here to define the limits and the constraints for kilo-processor architectures capable to implement such systems at reasonable costs. Our results for various implementations (software, FPGA, GPU/with CUDA) are considered with some proposals for suitable kilo-processor architectures.
  • Keywords
    acoustic signal processing; cellular neural nets; field programmable gate arrays; graphics processing units; parallel architectures; robots; signal reconstruction; ultrasonic propagation; CUDA; FPGA; GPU; autonomous agents; cellular nonlinear network; controlled environment; environment image reconstruction; kilo-processor architecture; obstacles; robotic ears design; signal source; software; sound propagation cellular processor architecture; ultrasound propagation simulation; Computational modeling; Computer architecture; Field programmable gate arrays; Graphics processing unit; Mathematical model; Microprocessors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Cellular Nanoscale Networks and Their Applications (CNNA), 2012 13th International Workshop on
  • Conference_Location
    Turin
  • ISSN
    2165-0160
  • Print_ISBN
    978-1-4673-0287-6
  • Type

    conf

  • DOI
    10.1109/CNNA.2012.6331461
  • Filename
    6331461