IDEAS home Printed from https://ideas.repec.org/a/spr/ijsaem/v14y2023i3d10.1007_s13198-023-01889-1.html
   My bibliography  Save this article

Design and performance analysis of low power and energy-efficient vedic multipliers

Author

Listed:
  • Sadulla Shaik

    (KKR and KSR Institute of Technology and Sciences)

  • Satish Kanapala

    (Vignan’s Foundation for Science Technology and Research)

  • Vallabhuni Vijay

    (Department of Electronics and Communication Engineering, Institute of Aeronautical Engineering)

  • Chandra Shaker Pittala

    (MLR Institute of Technology)

Abstract

This paper explores low-power and energy-efficient multi-bit Vedic Multiplier (VM) architectures at a supply voltage as low as 0.6 V. Energy efficient architectures are a significant concern in VLSI, the Internet of Things (IoT), wireless communications, cryptographic algorithms, and Digital Signal Processing (DSP) circuits. The proposed multipliers are designed with a Vedic multiplication algorithm using the Vedic mathematics formula Urdhva Tiryakbhyam (UT) method. This paper provides design insights and a circuit interaction approach with complementary Metal Oxide Semiconductor (CMOS) and FinFET technologies for designing VM blocks. All the proposed designs show better power delay product (PDP) characteristics at VDD 0.6 V. FinFET-based 8-bit VM design has lower power consumption and PDP of 36.5% and 55.8%, respectively, compared with CMOS 8-bit VM design at a supply voltage of 0.6 V.

Suggested Citation

  • Sadulla Shaik & Satish Kanapala & Vallabhuni Vijay & Chandra Shaker Pittala, 2023. "Design and performance analysis of low power and energy-efficient vedic multipliers," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 14(3), pages 894-902, June.
  • Handle: RePEc:spr:ijsaem:v:14:y:2023:i:3:d:10.1007_s13198-023-01889-1
    DOI: 10.1007/s13198-023-01889-1
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s13198-023-01889-1
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s13198-023-01889-1?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Vallabhuni Vijay & C. V. Sai Kumar Reddy & Chandra Shaker Pittala & Rajeev Ratna Vallabhuni & M. Saritha & M. Lavanya & S. China Venkateswarlu & M. Sreevani, 2021. "ECG performance validation using operational transconductance amplifier with bias current," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 12(6), pages 1173-1179, December.
    2. Kancharapu Chaitanya & Mohammad Khadir & S. Sushma & Lavanya Nalla & G. Naveen & N. Manjula & M. Saritha & M. Lavanya & Mulinti Narendra Reddy & Vallabhuni Vijay, 2022. "Double-threshold energy detection: noisy environment applied cognitive radio," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 13(6), pages 2944-2948, December.
    3. S. Swathi & S. Sushma & C. Devi Supraja & V. Bindusree & L. Babitha & Vallabhuni Vijay, 2022. "A hierarchical image matting model for blood vessel segmentation in retinal images," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 13(3), pages 1093-1101, June.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Kancharapu Chaitanya & Mohammad Khadir & S. Sushma & Lavanya Nalla & G. Naveen & N. Manjula & M. Saritha & M. Lavanya & Mulinti Narendra Reddy & Vallabhuni Vijay, 2022. "Double-threshold energy detection: noisy environment applied cognitive radio," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 13(6), pages 2944-2948, December.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:ijsaem:v:14:y:2023:i:3:d:10.1007_s13198-023-01889-1. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.