Design of High-Speed 8-Bit Vedic Multiplier Using Brent-Kung Parallel Prefix Adder

One of the primary purposes of a digital signal processing system is multiplication. The multiplier’s performance affects the DSP system’s overall performance. Therefore, it is crucial to create an effective and quick multiplier implementation design. Vedic mathematics can be used to simplify complex computations so that they are easier to perform verbally. Urdhva Tiryagbhyam is the multiplication algorithm used in Vedic math. In this paper, we employ the Brent-Kung adder to enhance the Vedic multiplier’s performance. The Urdhva Tiryagbhyam sutra is used for N×N bit multiplication, producing the least amount of latency. Four 4-bit vedic multipliers, two 8-bit Brent-Kung adders, one 4-bit Brent-Kung adder, and an OR gate are used to create an 8-bit vedic multiplier. Simulation and synthesis were done using EDA Playground software, and results show improved speed compared to related works.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-11-24
DOI
https://doi.org/10.5281/zenodo.17694896
Primary Topic
Low-power high-performance VLSI design
Type
article
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article

Design of High-Speed 8-Bit Vedic Multiplier Using Brent-Kung Parallel Prefix Adder

Zenodo (CERN European Organization for Nuclear Research)
Low-power high-performance VLSI design
article

Design of High-Speed 8-Bit Vedic Multiplier Using Brent-Kung Parallel Prefix Adder

article en

Abstract

One of the primary purposes of a digital signal processing system is multiplication. The multiplier’s performance affects the DSP system’s overall performance. Therefore, it is crucial to create an effective and quick multiplier implementation design. Vedic mathematics can be used to simplify complex computations so that they are easier to perform verbally. Urdhva Tiryagbhyam is the multiplication algorithm used in Vedic math. In this paper, we employ the Brent-Kung adder to enhance the Vedic multiplier’s performance. The Urdhva Tiryagbhyam sutra is used for N×N bit multiplication, producing the least amount of latency. Four 4-bit vedic multipliers, two 8-bit Brent-Kung adders, one 4-bit Brent-Kung adder, and an OR gate are used to create an 8-bit vedic multiplier. Simulation and synthesis were done using EDA Playground software, and results show improved speed compared to related works.

Zenodo (CERN European Organization for Nuclear Research)
Quality Education
Openalex Percentile: Top 47%
Low-power high-performance VLSI design
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