Abstract
Approximate arithmetic circuitry refers to a class of arithmetic circuits that achieve power and area efficiency through the intentional introduction of inaccuracies into the output behavior of the circuits. Further, low-power adiabatic computing techniques have been proposed as a method for reducing power dissipation. To demonstrate the potential benefit of hybridizing adiabatic and approximate computing, we selected a group of approximate adders and redesigned them using Clocked CMOS Adiabatic Logic (CCAL). We simulated our novel class of adiabatic approximate adders using a 45nm process and Cadence Spectre. The results of our simulations show that the hybridization of approximate and adiabatic techniques reduces power dissipation by 40-56% at 50 MHz compared to approximate CMOS implementations. We conclude that the hybridization of adiabatic and approximate computing would be an excellent design choice for applications with rigid power and area constraints that also boast a tolerance for noise.
Original language | English |
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Title of host publication | 2020 IEEE International Conference on Consumer Electronics, ICCE 2020 |
ISBN (Electronic) | 9781728151861 |
DOIs | |
State | Published - Jan 2020 |
Event | 2020 IEEE International Conference on Consumer Electronics, ICCE 2020 - Las Vegas, United States Duration: Jan 4 2020 → Jan 6 2020 |
Publication series
Name | Digest of Technical Papers - IEEE International Conference on Consumer Electronics |
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Volume | 2020-January |
ISSN (Print) | 0747-668X |
Conference
Conference | 2020 IEEE International Conference on Consumer Electronics, ICCE 2020 |
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Country/Territory | United States |
City | Las Vegas |
Period | 1/4/20 → 1/6/20 |
Bibliographical note
Publisher Copyright:© 2020 IEEE.
Funding
ACKNOWLEDGMENT Cole Terrell was supported by the Undergraduate Research Fellowship (URF) from the Department of Electrical and Computer Engineering at the University of Kentucky.
Funders | Funder number |
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Department of Electrical and Computer Engineering at the University of Kentucky |
Keywords
- Approximate arithmetic circuits
- Approximate computing
- Energy recovery computing
- Internet of Things (IoT).
ASJC Scopus subject areas
- Industrial and Manufacturing Engineering
- Electrical and Electronic Engineering