VLSI IMPLEMENTATION OF HIGH SPEED SINGLE PRECESSION FLOATING POINT UNIT USING VERILOG
Objective
Single-precision floating-point format is a computer number format that is used to represent a wide dynamic range of values
Abstract
Single-precision floating-point format is a computer number format that is used to represent a wide dynamic range of values. Floating point numbers representation has widespread dominance over fixed point numbers. Since the recent years, researchers are putting a lot of efforts in interfacing complex modules which are used in signal processing with processors for increasing the speed. In this work implementation of a floating point arithmetic unit which can perform addition, subtraction, multiplication, and division functions on 32-bit operands that use the IEEE 754- 2008 standard is done using Verilog. The FPU of this work is a single precision IEEE754 compliant integrated unit. Pre-normalization of operands is employed for addition and subtraction, multiplication using bit pair recoding and division using non restoring division. It can handle not only basic floating point operations like addition, subtraction, multiplication and division but can also handle operations like transcendental functions like sine, cosine and tangential function. The logical method for Addition and Subtraction operation is expanded in order to decrease the no. of gates used.
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Block Diagram
Specifications
Specifications:
Software Requirements:
· Xilinx ISE14.7 Suite/Vivado2018.3 Tool.
· HDL: Verilog.
Hardware Requirements:
· Microsoft® Windows XP.
· Intel® Pentium® 4 processor or Pentium 4 equivalent with SSE support.
· 512 MB RAM.
· 100 MB of available disk space.
Learning Outcomes
Learning Outcomes:
- Basics of Digital Electronics.
- Concept of floating point representation.
- Difference between floating and fixed point representation.
- Introduction to Verilog Coding.
- Different modeling styles in Verilog.
o Data Flow modeling.
o Structural modeling.
o Behavioral modeling.
o Mixed level modeling.
- Introduction to single precision floating point arithmetic unit design.
- About arithmetic operations on floating point numbers.
- Knowledge on single and double floating point precision unit’s representation.
- Knowledge on non-restoring division algorithm.
- About approximation computing.
- Applications in real time.
· Xilinx ISE 14.7 Suite/Vivado2018.3 for design and simulation.
· Generation of Netlist.
· Solution providing for real time problems.
· Project Development Skills:
o Problem Analysis Skills.
o Problem Solving Skills.
o Logical Skills.
o Designing Skills.
o Testing Skills.
o Debugging Skills.
o Presentation Skills.
o Thesis Writing Skills.
Paper Publishing
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