• DocumentCode
    2919804
  • Title

    Asymmetric large size multiplication using embedded blocks with efficient compression technique in FPGAs

  • Author

    Gao, Shuli ; Al-Khalili, Dhamin ; Chabini, Noureddine

  • Author_Institution
    Dept. of ECE, R. Mil. Coll. of Canada, Kingston, ON, Canada
  • fYear
    2011
  • fDate
    11-14 Dec. 2011
  • Firstpage
    137
  • Lastpage
    140
  • Abstract
    In this paper, asymmetric non-pipelined large size unsigned multipliers are implemented using symmetric and asymmetric embedded multipliers in FPGAs. The decomposition of the operands used in this approach is based on the sizes of the embedded blocks. The partial products of the segmented operands are organized in rows, and the additions of the products are performed through optimized compression dictated by the architecture of the CLB. The optimization algorithm has led to the minimization of the total critical path delay with reduced utilization of FPGA embedded blocks. The multipliers are implemented in Xilinx´ FPGAs using 18×18-bit and 25×18-bit embedded signed multipliers. The implementation results have demonstrated the effectiveness of the proposed approach achieving speed improvement of 29% and reduction of embedded block utilization of 28% for operand size of up to 192 bits compared to the Standard scheme.
  • Keywords
    delays; field programmable gate arrays; minimisation; multiplying circuits; CLB architecture; FPGA embedded block; Xilinx FPGA implementation; asymmetric embedded multiplier; asymmetric nonpipelined large size unsigned multiplier; compression technique; embedded block utilization reduction; optimization algorithm; symmetric embedded multiplier; total critical path delay minimization; Adders; Compressors; Delay; Digital signal processing; Field programmable gate arrays; Table lookup;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electronics, Circuits and Systems (ICECS), 2011 18th IEEE International Conference on
  • Conference_Location
    Beirut
  • Print_ISBN
    978-1-4577-1845-8
  • Electronic_ISBN
    978-1-4577-1844-1
  • Type

    conf

  • DOI
    10.1109/ICECS.2011.6122233
  • Filename
    6122233