• DocumentCode
    2925260
  • Title

    An optimized design for serial-parallel finite field multiplication over GF(2m) based on all-one polynomials

  • Author

    Meher, P.K. ; Ha, Yajun ; Lee, Chiou-Yng

  • Author_Institution
    Sch. of Comput. Eng., Nanyang Technol. Univ., Singapore
  • fYear
    2009
  • fDate
    19-22 Jan. 2009
  • Firstpage
    210
  • Lastpage
    215
  • Abstract
    In this paper, we derive a recursive algorithm for finite field multiplication over GF(2m) based on irreducible all-one-polynomials (AOP), where the modular reduction of degree is achieved by cyclic-left-shift without any logic operations. A regular and localized bit-level dependence graph (DG) is derived from the proposed algorithm and mapped into an array architecture, where the modular reduction is achieved by a serial-in parallel-out shift-register. The multiplier is optimized further to perform the accumulation of partial products by the T flip flops of the output register without XOR gates. It is interesting to note that the optimized structure consists of an array of (m+1) AND gates between an array of (m+1) D flip flops and an array of (m+1) T flip flops. The proposed structure therefore involves significantly less area and less computation time compared with the corresponding existing structures.
  • Keywords
    computational complexity; flip-flops; logic gates; multiplying circuits; polynomials; recursive estimation; AND gates; D flip flops; T flip flops; XOR gates; all-one polynomials; localized bit-level dependence graph; multiplier circuit; recursive algorithm; serial-in parallel-out shift-register; serial-parallel finite field multiplication; Design engineering; Design optimization; Digital arithmetic; Elliptic curve cryptography; Galois fields; Hardware; Logic; Polynomials; Registers; Throughput;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Design Automation Conference, 2009. ASP-DAC 2009. Asia and South Pacific
  • Conference_Location
    Yokohama
  • Print_ISBN
    978-1-4244-2748-2
  • Electronic_ISBN
    978-1-4244-2749-9
  • Type

    conf

  • DOI
    10.1109/ASPDAC.2009.4796482
  • Filename
    4796482