• DocumentCode
    2012193
  • Title

    A comparative study of the suitability of a custom computing machine and a VLIW DSP for use in 3G applications

  • Author

    Neel, James ; Srikanteswara, Srikathyayani ; Reed, Jeffrey H. ; Athanas, Peter M.

  • Author_Institution
    Bradley Dept. of Electr. Eng., Virginia Polytech. Inst. & State Univ., Blacksburg, VA, USA
  • fYear
    2004
  • fDate
    13-15 Oct. 2004
  • Firstpage
    188
  • Lastpage
    193
  • Abstract
    As wireless communications advances, the complexity of waveform processing places an ever increasing demand on baseband processing resources. As this is a difficult problem for traditional processing solutions to address, many have looked to reconfigurable computing as a solution. For 3G systems, whose intense processing requirements exacerbate these problems, we have previously proposed in (S. Srikanteswara et al, Soft Radio Impl. for 3G and Future High Data Rate Syst., Globecom 2001) the use of custom computing machines (CCMs), also known as adaptive computing machines (ACMs). This paper introduces a method for measuring processor performance which is independent of chip architecture. This method is then used to perform a comparative analysis on the suitability of Virginia Tech´s Stallion CCM and Texas, Instrument´s TMS320C6201 processor for use in 3G applications.
  • Keywords
    3G mobile communication; digital signal processing chips; microprocessor chips; parallel machines; reconfigurable architectures; software radio; 3G systems; ACM; CCM; VLIW DSP; adaptive computing machines; baseband processing; custom computing machines; processor performance measurement; reconfigurable computing; software radio; waveform processing complexity; wireless communications waveform processing; Analog integrated circuits; Application software; Baseband; Computer architecture; Digital signal processing; Field programmable gate arrays; Hardware; Semiconductor device measurement; Software radio; VLIW;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing Systems, 2004. SIPS 2004. IEEE Workshop on
  • Print_ISBN
    0-7803-8504-7
  • Type

    conf

  • DOI
    10.1109/SIPS.2004.1363047
  • Filename
    1363047