TY - JOUR
T1 - Design and Analysis of an Iterative Carry Save Adder-based Power-Efficient Multiplier
AU - Mendez, T.
AU - Nayak, S. G.
N1 - Funding Information:
The first author would like to thank Manipal Academy of Higher Education, Manipal Institute of Technology, Manipal, for granting Dr. T.M.A Pai Fellowship to carry out this research work. The authors are also thankful to the Department of Electronics and Communication Engineering, Manipal Institute of Technology for providing laboratory facilities. The authors would also like to thank Dr. Chaitanya CVS who is currently working as Software Verification Engineer at Intel Corporation for his valuable support.
Publisher Copyright:
© 2022 by the authors. Licensee IUST, Tehran, Iran.
PY - 2022/3
Y1 - 2022/3
N2 - The need for low-power VLSI chips is ignited by the enhanced market requirement for battery-powered end-user electronics, high-performance computing systems, and environmental concerns. The continuous advancement of the computational units found in applications such as digital signal processing, image processing, and high-performance CPUs has led to an indispensable demand for power-efficient, high-speed and compact multipliers. To address those low-power computational aspects with improved performance, an approach to design the multiplier using the algorithms of Vedic math is developed in this research. In the proposed work, the pre-computation technique is incorporated that aided in estimation of the carries during the partial product calculation stage; that enhanced the speed of the multiplier. This design was carried out using Cadence NCSIM 90 nm technology. The comparative analysis between the proposed multiplier design and the multipliers from the literature resulted in a substantial improvement in power dissipation as well as delay. The research was extended to assess the designed architectures’ performance statistically, applying the independent sample t-test hypothesis.
AB - The need for low-power VLSI chips is ignited by the enhanced market requirement for battery-powered end-user electronics, high-performance computing systems, and environmental concerns. The continuous advancement of the computational units found in applications such as digital signal processing, image processing, and high-performance CPUs has led to an indispensable demand for power-efficient, high-speed and compact multipliers. To address those low-power computational aspects with improved performance, an approach to design the multiplier using the algorithms of Vedic math is developed in this research. In the proposed work, the pre-computation technique is incorporated that aided in estimation of the carries during the partial product calculation stage; that enhanced the speed of the multiplier. This design was carried out using Cadence NCSIM 90 nm technology. The comparative analysis between the proposed multiplier design and the multipliers from the literature resulted in a substantial improvement in power dissipation as well as delay. The research was extended to assess the designed architectures’ performance statistically, applying the independent sample t-test hypothesis.
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U2 - 10.22068/IJEEE.18.1.2238
DO - 10.22068/IJEEE.18.1.2238
M3 - Article
AN - SCOPUS:85129147870
SN - 1735-2827
VL - 18
JO - Iranian Journal of Electrical and Electronic Engineering
JF - Iranian Journal of Electrical and Electronic Engineering
IS - 1
M1 - 2238
ER -