31-08-2016, 02:23 PM
Abstract
This research paper presents techniques for solving the Arithmetic
problems related to number systems. In this work a Floating-point
arithmetic unit, including following functions: addition, subtraction,
multiplication, division, square root and conversion of integer to
floating-point and conversion of floating-point to integer, is designed.
Further it is shown how these functions can be implemented, and how
these functions can be verified.
Here in this research paper it is tried to redesign the floating-point unit.
It includes all the software needed to generate custom Verilog coded
floating-point arithmetic unit. In general, it can be assumed that fixedpoint
implementations have higher speed and lower cost, while
floating-point has higher dynamic range and no need for scaling, which
may be attractive for more complicated algorithms.
This research paper presents techniques for solving the Arithmetic
problems related to number systems. In this work a Floating-point
arithmetic unit, including following functions: addition, subtraction,
multiplication, division, square root and conversion of integer to
floating-point and conversion of floating-point to integer, is designed.
Further it is shown how these functions can be implemented, and how
these functions can be verified.
Here in this research paper it is tried to redesign the floating-point unit.
It includes all the software needed to generate custom Verilog coded
floating-point arithmetic unit. In general, it can be assumed that fixedpoint
implementations have higher speed and lower cost, while
floating-point has higher dynamic range and no need for scaling, which
may be attractive for more complicated algorithms.