University of Bahrain
Scientific Journals

Design and Analysis of Efficient Vedic Multiplier for Fast Computing Applications

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dc.contributor.author Verma, Aishita
dc.contributor.author Khan, Anum
dc.contributor.author Wairya, Subodh
dc.date.accessioned 2023-02-26T07:17:27Z
dc.date.available 2023-02-26T07:17:27Z
dc.date.issued 2023-02-26
dc.identifier.issn 2210-142X
dc.identifier.uri https://journal.uob.edu.bh:443/handle/123456789/4755
dc.description.abstract The significant part of every digital signal processing (DSP) application is a multiplier. This work presents the high performance 4x4 and 8x8 Vedic multiplier designed utilizing scalable adder and compressor architectures. Several 8-bit adder designs, namely CPL, GDI 1, and Scalable full adders, are implemented to establish the superiority of the Scalable adder, which is used for compressor implementation. The proposed 4x4 Vedic Multiplier architecture, comprises half adder, a chain of 3-2 compressors, and a chain of 4-2 compressors. The design metrics are compared to existing Binary, Braun, and Array multipliers, as well as five standard Vedic multiplier designs. This 4x4 multiplier is compared under similar conditions with eight other multiplier topologies, and the proposed 4x4 Vedic multiplier provides the best performance considering the power, delay, PDP and EDP of the circuits. The proposed 4x4 Vedic multiplier is extended to an 8x8 Vedic multiplier design and its performance analysis is done. All circuits are implemented using Cadence Virtuoso simulation software at 45-nm technology. Monte Carlo simulations and process corner analysis of the proposed design are also done. The overall results of the proposed design show that it is speed-efficient and consumes less power, thus making it relevant for fast computing applications such as image processing. en_US
dc.language.iso en en_US
dc.publisher University of Bahrain en_US
dc.subject Scalable adder, Vedic multiplier, Compressors, Monte Carlo en_US
dc.title Design and Analysis of Efficient Vedic Multiplier for Fast Computing Applications en_US
dc.type Article en_US
dc.identifier.doi http://dx.doi.org/10.12785/ijcds/130151
dc.volume 13 en_US
dc.issue 1 en_US
dc.pagestart 190 en_US
dc.pageend 201 en_US
dc.contributor.authoraffiliation Electronics and Communication Engineering Department, Institute of Engineering and Technology, Lucknow, UP, India. en_US
dc.source.title International Journal of Computing and Digital Systems en_US
dc.abbreviatedsourcetitle IJCDS en_US


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