• DocumentCode
    1155083
  • Title

    Interprocessor Traffic Scheduling Algorithm for Multiple-Processor Networks

  • Author

    Bianchini, Ronald P., Jr. ; Shen, John Paul

  • Author_Institution
    Department of Electrical and Computer Engineering, Carnegie-Mellon University
  • Issue
    4
  • fYear
    1987
  • fDate
    4/1/1987 12:00:00 AM
  • Firstpage
    396
  • Lastpage
    409
  • Abstract
    Recent research on parallel systems has shown that the most difficult problem for system designers and users is interprocessor connection and communication. A methodology for the automated design and implementation of interprocessor communication for certain multiple-processor systems has been developed and is presented in this paper. For many application- specific and mission-oriented systems, the interprocessor communication is deterministic and can be specified at system inception. This specification can then be automatically mapped or complied onto a physical multiple-processor system using a network traffic scheduler. An algorithm for such a scheduler, which is capable of obtaining optimal network traffic patterns, has been developed. It is shown that the order of complexity of network scheduler components is polynomial, rather than expopential as in classical solutions.
  • Keywords
    Algorithmically oriented systems; application- specific systems; fixed topology distributed systems; multiple commodity fluid flow; network traffic scheduling; policy iteration optimization; Algorithm design and analysis; Application software; Communication system traffic control; Computer architecture; Hardware; Real time systems; Scheduling algorithm; Signal design; Signal processing algorithms; Telecommunication traffic; Algorithmically oriented systems; application- specific systems; fixed topology distributed systems; multiple commodity fluid flow; network traffic scheduling; policy iteration optimization;
  • fLanguage
    English
  • Journal_Title
    Computers, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9340
  • Type

    jour

  • DOI
    10.1109/TC.1987.1676922
  • Filename
    1676922