• DocumentCode
    3360466
  • Title

    Design methodology for a one-shot Reed-Solomon encoder and decoder

  • Author

    Morioka, Sumio ; Katayama, Yasunao

  • Author_Institution
    Tokyo Res. Lab., IBM Res., Kanagawa, Japan
  • fYear
    1999
  • fDate
    1999
  • Firstpage
    60
  • Lastpage
    67
  • Abstract
    The design methodology for a high-performance and compact one-shot Reed-Solomon encoder/decoder realized as a combinational circuit is presented. Under a two-level optimization approach, a combination of new encoding/decoding algorithms enabling highly parallel, yet shared architecture, and logic optimization methods tuned for huge-scale Galois field arithmetic operations, improves the circuit size and speed significantly. The higher level optimization not only can be entirely independent of the gate level optimization, but also further augments the advantages in the gate level optimization. As a result a (40-34,32)RS encoders/decoder soft IP-core achieving 45 ns latency and >7 Gb/s peak throughput without pipelining is realized using <90 K cells under 0.35 um CMOS gate-array technology
  • Keywords
    CMOS logic circuits; Galois fields; Reed-Solomon codes; circuit optimisation; combinational circuits; CMOS gate-array technology; combinational circuit; design methodology; gate level optimization; higher level optimization; highly parallel shared architecture; huge-scale Galois field arithmetic operations; logic optimization methods; one-shot Reed-Solomon decoder; one-shot Reed-Solomon encoder; two-level optimization approach; Arithmetic; CMOS technology; Combinational circuits; Decoding; Design methodology; Encoding; Galois fields; Logic circuits; Optimization methods; Reed-Solomon codes;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Design, 1999. (ICCD '99) International Conference on
  • Conference_Location
    Austin, TX
  • ISSN
    1063-6404
  • Print_ISBN
    0-7695-0406-X
  • Type

    conf

  • DOI
    10.1109/ICCD.1999.808384
  • Filename
    808384