IJRTI
International Journal for Research Trends and Innovation
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.14 (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 : 8.14

Issue per Year : 12

Volume Published : 11

Issue Published : 118

Article Submitted : 21686

Article Published : 8549

Total Authors : 22487

Total Reviewer : 811

Total Countries : 159

Indexing Partner

Licence

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
Published Paper Details
Paper Title: A LOW COMPLEXITY AND CLOCK GATED HYBRID STOCHASTIC NUMBER FOR MACHINE LEARNING ACCELERATION
Authors Name: Nishmitha K R , Mr.Maria Antony S
Download E-Certificate: Download
Author Reg. ID:
IJRTI_203432
Published Paper Id: IJRTI2505030
Published In: Volume 10 Issue 5, May-2025
DOI:
Abstract: A type of number-crunching computer based on stochastic numbers (bit-stream), stochastic computing (SC) is intriguing in step of twofold numbers (BNs).CMOS entryway circuits use stochastic numbers (SN) to represent and transport data in the form of pseudo-analogue probabilities .Super moo is the main factor influencing the stochastic number framework's rejuvenated win manage use and a strong, consistent quality for edge computing. Actually, the stochastic number is a non-positional representation of a number that is inherently successive and is used for some essential number-crunching operations (including increment and addition/subtraction), and compares to a super moo zone circuit. Cross breed stochastic number (HSN), a revolutionary crossover number framework comprising BNs and stochastic number representation, is proposed in this paper. This study demonstrates the characteristics of crossover stochastic computing (HSC) and provides the basic theoretical viewpoints of the HSN.Equipment employed in profound neural organisation using HSC is made using a traditional 40-nm moo control CMOS handle. It features 4544 increase amassing operations (MACs), a clock of 400 MHz, a control of 102.3 mW, and a central range of 0.53 mm2.
Keywords: Deep neural networks, hybrid stochastic computing (HSC), hybrid stochastic number (HSN), application-specific integrated circuits (ASIC), and stochastic numbers
Cite Article: "A LOW COMPLEXITY AND CLOCK GATED HYBRID STOCHASTIC NUMBER FOR MACHINE LEARNING ACCELERATION", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 5, page no.a307-a311, May-2025, Available :http://www.ijrti.org/papers/IJRTI2505030.pdf
Downloads: 000588
ISSN: 2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 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: IJRTI2505030
Registration ID:203432
Published In: Volume 10 Issue 5, May-2025
DOI (Digital Object Identifier):
Page No: a307-a311
Country: COIMBATORE, Tamil Nadu, India
Research Area: Electronics & Communication Engg. 
Publisher : IJ Publication
Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2505030
Published Paper PDF: https://www.ijrti.org/papers/IJRTI2505030
Share Article:

Click Here to Download This Article

Article Preview
Click Here to Download This Article

Major Indexing from www.ijrti.org
Google Scholar ResearcherID Thomson Reuters Mendeley : reference manager Academia.edu
arXiv.org : cornell university library Research Gate CiteSeerX DOAJ : Directory of Open Access Journals
DRJI Index Copernicus International Scribd DocStoc

ISSN Details

ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED, Journal Starting Year (ESTD) : 2016

DOI (A digital object identifier)


Providing A digital object identifier by DOI.ONE
How to Get 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

Join RMS/Earn 300

IJRTI

WhatsApp
Click Here

Indexing Partner