• DocumentCode
    2583693
  • Title

    A genetic approach for the reconfiguration of degradable processor arrays

  • Author

    Fukushi, Masaru ; Fukushima, Yusuke ; Horiguchi, Susumu

  • Author_Institution
    Graduate Sch. of Inf. Sci., Tohoku Univ., Sendai, Japan
  • fYear
    2005
  • fDate
    3-5 Oct. 2005
  • Firstpage
    63
  • Lastpage
    71
  • Abstract
    This paper discusses the NP-complete problem of reconfiguring 2D degradable processor arrays under the row and column rerouting constraints. One major drawback of the previous algorithms is that a rerouting scheme to construct logical rows/columns can be applied only in one direction, either row or column direction, to handle the difficulty of this reconfiguration problem. We propose a new approach for the reconfiguration of degradable processor arrays employing a genetic algorithm (GA). The GA is used to evolve rerouting strategies for constructing logical rows/columns. A strategy based rerouting scheme is proposed to reroute the interconnections of fault-free PEs in both row and column directions. The performances of our algorithm are compared with previous studies and it indicates that the proposed algorithm achieves better results in terms of harvest and degradation.
  • Keywords
    circuit complexity; genetic algorithms; integrated circuit interconnections; logic arrays; microprocessor chips; network routing; reconfigurable architectures; NP-complete problem; column rerouting constraints; degradable processor array reconfiguration; genetic algorithms; interconnections rerouting; row rerouting constraints; Circuit faults; Degradation; Genetic algorithms; Integrated circuit technology; NP-complete problem; Signal processing algorithms; Silicon; Topology; Transistors; Very large scale integration;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Defect and Fault Tolerance in VLSI Systems, 2005. DFT 2005. 20th IEEE International Symposium on
  • ISSN
    1550-5774
  • Print_ISBN
    0-7695-2464-8
  • Type

    conf

  • DOI
    10.1109/DFTVS.2005.7
  • Filename
    1544504