Multiplier Design using Machine Learning Alogorithms for Energy Efficiency
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Date
2023
Authors
Juma, Jane
Mdodo, R.M.
Gichoya, David
Journal Title
Journal ISSN
Volume Title
Publisher
VLSI
Abstract
Designers primary goal is to develop the Adder cell with improved performance viz.
speed, fixed rise and fall time, as it the fundamental block in VLSI design process. The
dynamic logic circuits are far better than the static logic circuits because it consumes
less power and speed performance also increased. But, cascading of several blocks in
dynamic logic is found to be a wrong analysis. This drawback of increased complexity
with mismatched cascading is overcome by using domino logic circuits. By using domino
logic circuits, the reduction of noise margins and increase the speed performance of
the circuit is achieved. In this paper, domino logic based Manchester carry chain adder
(MCC) is designed using FinFET 18nm technology in Cadence virtuoso. It is noticed
that 4-bit and an 8-bit Manchester Carry Chain Adder (MCC) using domino logic design
consumes less power and reduction in the delay of the proposed circuit compared with
the previous architecture. Implementation results reveal that the 4-Bit MCC Adder has
delay of 79.45% less compared to the existed standard design and power consumption
also reduced to 94.15%.
Description
Article
Keywords
Cadence virtuoso, FinFET, Dynamic Logic, Domino logic, Manchester Carry Chain
Citation
Juma J, Mdodo RM, Gichoya D. Multiplier Design using Machine Learning Alogorithms for Energy Efficiency. Journal of Complementary Research, Vol. 5, No. 1, 2023 (pp. 28-34)