• DocumentCode
    707518
  • Title

    Simulation of high performance energy efficient human brain on 28nm FPGA

  • Author

    Kumar, Love ; Kumar, T. ; Musavi, S.H.A. ; Alam, M.F. ; Pandey, Bishwajeet

  • Author_Institution
    Muhammad Ali Jinnah Univ., Karachi, Pakistan
  • fYear
    2015
  • fDate
    11-13 March 2015
  • Firstpage
    1546
  • Lastpage
    1551
  • Abstract
    The right side of the brain is used for arithmetic operation and left side of the brain is used for logical operation. In simulation of human brain in computer software, we define two module called left-brain and right-brain. Left brain perform the logical function like AND, OR, XOR, and XNOR. Right brain perform the arithmetic function like ADD, MINUS, MULTIPLICATION, and DIVISON. In our simulation of brain, we try to cover both aspect of high performance and low power. In context to make high performance brain, we are providing 109, 1010, 1011, 1012 clock pulse per second to class A brain, class B brain, class C brain and class D brain respectively. In order to make energy efficient brain, we are trying to reduce energy consumption of 4 different neurons(clock, logic, signal, and Input/output) of brain without affecting the performance.
  • Keywords
    brain; digital simulation; field programmable gate arrays; neurophysiology; power aware computing; 1010 clock pulse per second; 1011 clock pulse per second; 1012 clock pulse per second; 109 clock pulse per second; 28nm FPGA; AND; XNOR; XOR; arithmetic function; class A brain; class B brain; class C brain; class D brain; clock neuron; high performance energy efficient human brain simulation; input/output neuron; left-brain module; logic neuron; logical function; neuron energy consumption reduction; right-brain module; signal neuron; Brain modeling; Delays; Energy consumption; Field programmable gate arrays; Neurons; Brain Circuit Analysis; Brain Modeling; Cybernetics; Energy Efficient; High Performance; Left Brain; Right Brain;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computing for Sustainable Global Development (INDIACom), 2015 2nd International Conference on
  • Conference_Location
    New Delhi
  • Print_ISBN
    978-9-3805-4415-1
  • Type

    conf

  • Filename
    7100508