Analysis of Energy Efficient Reverse Carry Select Inexact Full Adders for Future In-Memory Computing and Internet of Things Applications

In the current world, electronic systems are essential for everyday life. The growing demand for energy-efficient computer systems has prompted researchers to concentrate on this field recently. Modern computing systems' low energy consumption is a crucial quality for small applications and performance improvement. Basic arithmetic operations like addition are essential to modern computer systems and mostly rely on full adder (FA) circuits to carry out logical & arithmetic calculations. A FA is a crucial component of a microprocessor's arithmetic logic unit (ALU). An inexpensive, extremely energy-efficient and small form factor VLSI architecture is essential to the success of IoT applications. One of the primary approaches for achieving excellent performance and energy efficiency in computationally intensive, error-resistant applications is approximate computing. Hence, in this article, we critically reviewed the performance of three different types of RCSIFAs (reverse carry select inexact full adders) implanted with a CMOS process of 16 nm and an operating voltage (V<inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">DD</inf>) of 0.7 V using SPICE simulations.

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Publication Details

Published
2024-10-04
DOI
https://doi.org/10.1109/i4c62240.2024.10748519
Primary Topic
Advanced Memory and Neural Computing
Type
article
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Analysis of Energy Efficient Reverse Carry Select Inexact Full Adders for Future In-Memory Computing and Internet of Things Applications

B. Mounika, T. Nithin, Maddi Sahithi, J. Ajayan et al.
Advanced Memory and Neural Computing
article

Analysis of Energy Efficient Reverse Carry Select Inexact Full Adders for Future In-Memory Computing and Internet of Things Applications

B. Mounika, T. Nithin, Maddi Sahithi, J. Ajayan, Shinichiro HARI, Podishetty Srikavya
article en

Abstract

In the current world, electronic systems are essential for everyday life. The growing demand for energy-efficient computer systems has prompted researchers to concentrate on this field recently. Modern computing systems' low energy consumption is a crucial quality for small applications and performance improvement. Basic arithmetic operations like addition are essential to modern computer systems and mostly rely on full adder (FA) circuits to carry out logical & arithmetic calculations. A FA is a crucial component of a microprocessor's arithmetic logic unit (ALU). An inexpensive, extremely energy-efficient and small form factor VLSI architecture is essential to the success of IoT applications. One of the primary approaches for achieving excellent performance and energy efficiency in computationally intensive, error-resistant applications is approximate computing. Hence, in this article, we critically reviewed the performance of three different types of RCSIFAs (reverse carry select inexact full adders) implanted with a CMOS process of 16 nm and an operating voltage (V<inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">DD</inf>) of 0.7 V using SPICE simulations.

Affordable and clean energy
Openalex Percentile: Top 82%
Advanced Memory and Neural Computing
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