IJNRD Research Journal

WhatsApp
Click Here

WhatsApp editor@ijnrd.org
IJNRD
INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016
Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)

Call For Paper

For Authors

Forms / Download

Published Issue Details

Editorial Board

Other IMP Links

Facts & Figure

Impact Factor : 8.76

Issue per Year : 12

Volume Published : 8

Issue Published : 80

Article Submitted : 7144

Article Published : 2923

Total Authors : 7078

Total Reviewer : 714

Total Countries : 89

Indexing Partner

Join RMS/Earn 300

Licence

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
Published Paper Details
Paper Title: HYBRID APPROXIMATE ADDER FOR POWER, AREA, DELAY TRADE-OFF BASED ON BCSA AND ALA
Authors Name: Akhila R. , Sindhu T. V.
Download E-Certificate: Download
Author Reg. ID:
IJNRD_181476
Published Paper Id: IJNRD2205102
Published In: Volume 7 Issue 5, May-2022
DOI:
Abstract: In application domains such as multimedia and image processing, digital signal processing, wireless communication, machine learning, and data mining which are inherently error-resilient, approximate computing can be used to overcome the thermal design power constraint. The technique may be used to attain more energy reduction and/or performance at the cost of some accuracy loss. Approximate adders can be broadly classified into two categories: block-based approximate adders (BAAs) and approximate least significant bit (LSB) adders (ALAs). In this paper, a hybrid approximate adder based on BCSA and ALA is proposed, for power, area and delay trade-off. In the proposed technology, both the BAA and ALA are used in a single 16 bit adder circuit. That is, the whole circuit is divided into two 8 bit parts and the MSB part is designed using Block based carry speculative Adders (BCSA), which improves the speed and the LSB part make use of approximate least significant bit Adders (ALAs) which results in area and power reduction. Compared to BAAs, ALAs are more hardware and power efficient and by using block based approximate adder, the overall delay can be reduced. Thus, power, area and delay trade off is achieved.
Keywords: Approximate Computing, Hybrid Adder, Speculative Adder, Area Efficient, Low Power, Delay Efficient
Cite Article: "HYBRID APPROXIMATE ADDER FOR POWER, AREA, DELAY TRADE-OFF BASED ON BCSA AND ALA", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.7, Issue 5, page no.889-893, May-2022, Available :http://www.ijnrd.org/papers/IJNRD2205102.pdf
Downloads: 000111346
ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publication Details: Published Paper ID:IJNRD2205102
Registration ID: 181476
Published In: Volume 7 Issue 5, May-2022
DOI (Digital Object Identifier):
Page No: 889-893
Country: Chalakudy, Kerala, India
Research Area: Engineering
Publisher : IJ Publication
Published Paper URL : https://www.ijnrd.org/viewpaperforall?paper=IJNRD2205102
Published Paper PDF: https://www.ijnrd.org/papers/IJNRD2205102
Share Article:
Share

Click Here to Download This Article

Article Preview
Click Here to Download This Article

Major Indexing from www.ijnrd.org
Semantic Scholar Microsaoft Academic ORCID Zenodo
Google Scholar ResearcherID Thomson Reuters Mendeley : reference manager Academia.edu
arXiv.org : cornell university library Research Gate CiteSeerX PUBLON
DRJI SSRN Scribd DocStoc

ISSN Details

ISSN: 2456-4184
Impact Factor: 8.76 and ISSN APPROVED
Journal Starting Year (ESTD) : 2016

DOI (A digital object identifier)


Providing A digital object identifier by DOI
How to Get DOI? DOI

Conference

Open Access License Policy

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License

Creative Commons License This material is Open Knowledge This material is Open Data This material is Open Content

Important Details

Social Media

Licence

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License

Join RMS/Earn 300

IJNRD