IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-981-95-2457-0_7.html

VLSI Circuits and Approximate Computing

In: Optimization Methods in VLSI Design

Author

Listed:
  • Apoorva S. Shastri

    (Dr. Vishwanath Karad MIT World Peace University, Institute of Artificial Intelligence)

Abstract

This chapter discusses VLSI circuits and approximate computing, which are the upcoming fields in VLSI design. This chapter focuses on Tunable Memristor emulators. This is a CNFET based tuneable memristor emulator. It also discusses a VDTA based robust electronic lead tunable memristor emulator circuit along with methods that focus on analysis and characterization of leakage reduction. A multi bit soft error immune SRAM cell for low power application is also discussed in this chapter using BitMAC. Along with these a bit serial computation based efficient multiply accumulate unit. For a deep neural network accelerator is discussed. Design of low power multiplier with less area using quaternary carry. Incremental adder for newfangled processor. After that, an ultra-low power and fast voltage level shifter using Mullar C-cell for VLSI system is also discussed.

Suggested Citation

  • Apoorva S. Shastri, 2025. "VLSI Circuits and Approximate Computing," Springer Books, in: Apoorva S. Shastri (ed.), Optimization Methods in VLSI Design, chapter 0, pages 207-231, Springer.
  • Handle: RePEc:spr:sprchp:978-981-95-2457-0_7
    DOI: 10.1007/978-981-95-2457-0_7
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a
    for a similarly titled item that would be available.

    More about this item

    Statistics

    Access and download statistics

    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:sprchp:978-981-95-2457-0_7. 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.

    We have no bibliographic references for this item. You can help adding them by using 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.