|
|||||||||||||||
|
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) |
||||||||||||||
Issue: September 2023
Volume 8 | Issue 9
Review Result and Publication of Paper within : 2-3 days
Click Here For more DetailsFor 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 : 88
Article Submitted : 26066
Article Published : 7438
Total Authors : 18836
Total Reviewer : 971
Total Countries : 150
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: | 000114654 |
| 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: |
|
|
Click Here to Download This Article |
|
| Article Preview | |
|
|
|
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)
Conference
Open Access License Policy
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
Important Details
Social Media
Licence
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
Join RMS/Earn 300
| Copyright © 2023 - All Rights Reserved - IJNRD |
Facebook Twitter Instagram LinkedIn