• DocumentCode
    684284
  • Title

    Fine granularity optimal spare allocation and replacement in reconfiguration system

  • Author

    Han Zhang ; Yansong Wu ; Sen Zhao ; Lei Zhao

  • Author_Institution
    Beijing NARI Smartchip Microelectron. Co. Ltd., Beijing, China
  • fYear
    2013
  • fDate
    19-21 Oct. 2013
  • Firstpage
    177
  • Lastpage
    182
  • Abstract
    This paper presents an analytical method of shared spare redundancy in fine granularity for reconfiguration system. The particularity of spare redundancy lies that the spare unit for replacement is available for more than one functional unit. To analyze the reliability of this special redundancy system, the structure function is re-defined and the replacement matrix is proposed to represent the system structure at first. Then, the reliability of system can be derived by introducing matrix decomposition operation. Later, a modified simulated-annealing algorithm is proposed to solve the optimal spare allocation problem. The goals of solving spare allocation and reconfiguration are to achieve maximum reliability. At last, simulation results show that the proposed method can be efficient in terms of average moves in reconfiguration.
  • Keywords
    fault tolerant computing; matrix decomposition; redundancy; simulated annealing; fine granularity optimal spare allocation; matrix decomposition operation; modified simulated-annealing algorithm; optimal spare allocation problem; reconfiguration system; redundancy system; reliability; replacement matrix; shared spare redundancy; spare-shared replacement system; structure function; system structure; Circuit faults; Fault tolerant systems; Field programmable gate arrays; Redundancy; Resource management; Fault Tolerance; Reconfiguration System; Reliability; Replacement Matrix; Spare Allocation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Computational Intelligence (ICACI), 2013 Sixth International Conference on
  • Conference_Location
    Hangzhou
  • Print_ISBN
    978-1-4673-6341-9
  • Type

    conf

  • DOI
    10.1109/ICACI.2013.6748497
  • Filename
    6748497