• DocumentCode
    1193670
  • Title

    A quantitative methodology for rapid prototyping and high-level synthesis of signal processing algorithms

  • Author

    Madisetti, Vijay K. ; Curtis, Bryce A.

  • Author_Institution
    Sch. of Electr. & Comput. Eng., Georgia Inst. of Technol., Atlanta, GA, USA
  • Volume
    42
  • Issue
    11
  • fYear
    1994
  • fDate
    11/1/1994 12:00:00 AM
  • Firstpage
    3188
  • Lastpage
    3208
  • Abstract
    The paper introduces a systematic quantitative methodology to prototype deterministic recursive DSP algorithms onto multiple programmable signal processors. A scheduling framework that is based upon linear integer programming techniques is used to obtain rate, processor, delay, and communications optimal schedules for a given data flow graph representation of a signal processing algorithm. This powerful design synthesis environment facilitates optimal scheduling for randomly connected heterogeneous systems with multiple pipelined functional units and finite resources in VLSI. This framework can also be used in the high-level synthesis of efficient register-transfer level (RTL) VLSI descriptions from behavioral specifications
  • Keywords
    VLSI; integer programming; linear programming; scheduling; signal processing; software prototyping; VLSI; behavioral specifications; communications optimal schedules; data flow graph representation; delay; deterministic recursive DSP algorithms; finite resources; functional units; high-level synthesis; linear integer programming; multiple programmable signal processors; optimal scheduling; quantitative methodology; randomly connected heterogeneous systems; rapid prototyping; register-transfer level; scheduling framework; signal processing algorithms; Delay; Digital signal processing; Flow graphs; Linear programming; Optimal scheduling; Processor scheduling; Prototypes; Signal processing; Signal processing algorithms; Very large scale integration;
  • fLanguage
    English
  • Journal_Title
    Signal Processing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1053-587X
  • Type

    jour

  • DOI
    10.1109/78.330377
  • Filename
    330377