MATEC Web of Conferences
Volume 57, 20164th International Conference on Advancements in Engineering & Technology (ICAET-2016)
|Number of page(s)||4|
|Section||Electronic & Electrical Engineering|
|Published online||11 May 2016|
Design and Synthesis of Single Precision Floating Point Division based on Newton-Raphson Algorithm on FPGA
1 School of VLSI Design and Embedded System, National Institute of Technology, Kurukshetra, Haryana, India
2 Department of Electronics and Communication Engineering, National Institute of Technology, Kurukshetra. Haryana, India
a Naginder Singh: email@example.com
This paper describes a single precision floating point division based on Newton-Raphson computational division algorithm. The Newton-Raphson computational algorithm is implemented using 32-bit floating point multi-plier and subtractor. The salient feature of this proposed design is that the module for computing mantissa in 32-floating point multiplier is designed using a 24-bit Vedic multiplication (Urdhva-triyakbhyam-sutra) technique. 32-bit floating point multiplier, designed using Vedic multiplication technique, yields a higher computational speed, hence, is efficiently used in floating point divider. Another important feature is the efficient use of device utilization parame-ters and reduced power consumption. An advantage of the Newton-Raphson algorithm is the higher versatility and precision. For representing 32-bit floating point numbers, IEEE 754 standard format is used. ISim simulator is used for simulation. The proposed floating point divider is designed using Verilog Hardware Description Language (HDL) and is verified on Xilinx Spartan 6 SP605 Evaluation Platform FPGA.
© Owned by the authors, published by EDP Sciences, 2016
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.