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)
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