Design and Implementation of Area-Efficient Dual-Mode Double Precision

Lieferzeit: Lieferbar innerhalb 14 Tagen

39,90 

ISBN: 6139963958
ISBN 13: 9786139963959
Autor: Anagandula, SANJEEV
Verlag: LAP LAMBERT Academic Publishing
Umfang: 80 S.
Erscheinungsdatum: 21.12.2018
Auflage: 1/2018
Format: 0.6 x 22 x 15
Gewicht: 137 g
Produktform: Kartoniert
Einband: Kartoniert
Artikelnummer: 6155840 Kategorie:

Beschreibung

Floating point division is a core arithmetic widely used in scientific and engineering applications. This work proposed architecture for double precision floating point division. This architecture is designed for dual-mode functionality, which can either compute on a pair of double precision operands or on two pairs of single precision operands in parallel. The architecture is based on the series expansion multiplicative methodology of mantissa computation. For this, a novel dual mode Radix-4 Modified Booth multiplier is designed, which is used iteratively in the architecture of dual-mode mantissa computation. Other key components of floating point division flow (such as leading-one-detection, left/right dynamic shifters, rounding, etc.) are also re-designed for the dual-mode operation. The proposed dual- mode architecture is synthesized using UMC 90nm technology ASIC implementation. Two versions of proposed architecture are presented, one with single stage multiplier and another with two stage multiplier. Compared to a standalone double precision division architecture, the proposed dual-mode architecture requires 17% to 19% extra hardware resources, with 3% to 5% period overhead.

Autorenporträt

This is A.Sanjeev kumar, I have completed B.Tech (ECE) From Ramappa Engineering College at Warangal in 2014. I have completed M.Tech (VLSI&EMBEDDED SYSTEMS) From Kommuri Pratap Reddy Institutions of college at Hyderabad in 2017.I interested in Technology courses.

Herstellerkennzeichnung:


OmniScriptum SRL
Str. Armeneasca 28/1, office 1
2012 Chisinau
MD

E-Mail: info@omniscriptum.com

Das könnte Ihnen auch gefallen …