• DocumentCode
    149914
  • Title

    Implementation of vedic multiplier using Kogge-stone adder

  • Author

    Anjana, R. ; Abishna, B. ; Harshitha, M.S. ; Abhishek, E. ; Ravichandra, V. ; Suma, M.S.

  • Author_Institution
    Dept. of ECE, East West Inst. of Technol., Bangalore, India
  • fYear
    2014
  • fDate
    3-5 July 2014
  • Firstpage
    28
  • Lastpage
    31
  • Abstract
    Due to the ever growing demand for high speed processors advancement in the technology regards to speed is the peak area of interest. The first word strikes when the parameter speed is concerned is multiplication. Since multiplication is an important fundamental function in all mathematical computations it dominates the execution time of most throughput determination & CPU cycle time of a system. In this paper, we develop a novel architecture to perform high speed multiplication using ancient vedic mathematics. One of the most efficient sutra in vedic mathematics named as Urdhva Triyakbhyam strikes a difference in the actual multiplication process. The Adder employed in implementing the paper is Kogge stone adder which is a parallel prefix form of carry look ahead adder & widely used adder in the industries of the present day. Since the adder used generates the carry signal in O(logn) time, it is widely considered to be the fastest adder design possile. The proposed algorithm is developed using verilog HDL. Implementation has been done using Xilinx14.6, Spartan6 FPGA.
  • Keywords
    adders; field programmable gate arrays; hardware description languages; multiplying circuits; multiprocessing systems; CPU cycle time; FPGA; Kogge-Stone adder; O-logn time; Spartan6; Urdhva Triyakbhyam; Xilinx14.6; actual multiplication process; carry signal; execution time; high speed processors; mathematical computations; parallel prefix; speed multiplication; vedic mathematics; vedic multiplier; verilog HDL; Adders; Algorithm design and analysis; Field programmable gate arrays; Hardware design languages; Program processors; Signal processing algorithms; High speed; Kogge Stone Adder; Urdhva Triyakbhyam; Vedic Mathematics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Embedded Systems (ICES), 2014 International Conference on
  • Conference_Location
    Coimbatore
  • Print_ISBN
    978-1-4799-5025-6
  • Type

    conf

  • DOI
    10.1109/EmbeddedSys.2014.6953044
  • Filename
    6953044