196
Views
6
CrossRef citations to date
0
Altmetric
Research Article

A novel ultra-low-power gate overlap tunnel FET (GOTFET) dynamic adder

ORCID Icon, , &
Pages 1663-1681 | Received 03 Mar 2019, Accepted 06 Mar 2020, Published online: 26 Mar 2020
 

ABSTRACT

Recent researches have indicated that the gate-overlap tunnel FETs (GOTFETs) exhibit double the on-currentsIon and one-tenth the off-currents Ioff than the equally sized MOSFETs at the same technology node, making them ideal candidates for ultra-low-power VLSI applications. This paper presents a complementary GOTFET (CGOT) based dynamic full adder (DFA), which consumes significantly lower power than conventional CMOS DFAs and operates at double the speed of CMOS DFAs. A conventional DFA designed using GOTFETs instead of MOSFETs exhibits 100 ps (40%) lower & 50 ps (30%) lower delays than CMOS DFA. Furthermore, the CGOT DFA consumes merely 2.6 pW of static power, which is 99% (2 orders) lower than the corresponding CMOS DFA ., Ion, . This paper proposes a novel improved DFA circuit design, which mitigates the dynamic power by eliminating redundant switching activity within the DFA circuit, . The proposed modified DFA topology reduces the total power consumption by 25% than the conventional DFA designs at 50% switching activity. The overall power delay product (PDP) reduces to merely 0.9% of the standard CMOS designs. The total power consumption reduces even further with decreasing switching activity, and the improved CGOT DFA consumes 31% lower total power (at 25% switching activity).

Disclosure statement

No potential conflict of interest was reported by the authors.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 61.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 702.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.