• DocumentCode
    2272186
  • Title

    Component selection in resource shared and pipelined DSP applications

  • Author

    Bakshi, Smita ; Gajski, Daniel D. ; Juan, Hsiao-Ping

  • Author_Institution
    Dept. of Inf. & Comput. Sci., California Univ., Irvine, CA, USA
  • fYear
    1996
  • fDate
    16-20 Sep 1996
  • Firstpage
    370
  • Lastpage
    375
  • Abstract
    In general, high performance DSP designs are heavily pipelined and, in order to reduce the pipeline cost, these designs employ techniques such as component selection and resource sharing to select the appropriate number and type of components. We present an algorithm to perform the three tasks of pipelining, resource sharing and component selection, so as to minimize design cost for a given throughput constraint. Experiments conducted on several examples demonstrate the superiority of performing all three tasks, rather than just a combination of any two of these tasks, as done in previously published algorithms
  • Keywords
    pipeline processing; processor scheduling; resource allocation; signal processing; component selection; high performance DSP designs; pipeline cost; pipelined DSP applications; pipelining; resource shared DSP applications; resource sharing; throughput constraint; Algorithm design and analysis; Clocks; Concurrent computing; Costs; Delay; Digital signal processing; Pipeline processing; Resource management; Scheduling; Throughput;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Design Automation Conference, 1996, with EURO-VHDL '96 and Exhibition, Proceedings EURO-DAC '96, European
  • Conference_Location
    Geneva
  • Print_ISBN
    0-8186-7573-X
  • Type

    conf

  • DOI
    10.1109/EURDAC.1996.558231
  • Filename
    558231