Performance Analysis of 8/16/32-bit Calculator Using Verilog and System Verilog

A versatile and effective calculator architecture that supports operations in 8, 16, and 32-bit configurations is shown in this work. It is implemented in Verilog and System Verilog. The design incorporates the fundamental arithmetic operations of addition, subtraction, multiplication, and division, along with more complex capabilities like exponentiation, square root, and factorial computations. Additionally, it has shift capabilities and bitwise operations for efficient binary data manipulation. This architecture offers a strong answer for research, engineering, and programming applications where accuracy and flexible bit-width processing are crucial by combining fundamental and sophisticated computational capabilities.

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Publication Details

Published
2024-12-12
DOI
https://doi.org/10.1109/icuis64676.2024.10867037
Citations
1
Primary Topic
Neural Networks and Applications
Type
article
Field-Weighted Citation Impact
0.35
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article

Performance Analysis of 8/16/32-bit Calculator Using Verilog and System Verilog

Meghashri Saravanan, Shiromani Balmukund Rahi, R. Arokia Priya, S.Sree Vishnu Varthini et al.
1 citations
Neural Networks and Applications
0.35
article

Performance Analysis of 8/16/32-bit Calculator Using Verilog and System Verilog

Meghashri Saravanan, Shiromani Balmukund Rahi, R. Arokia Priya, S.Sree Vishnu Varthini, J. Saritha, R.Sri SivaSakthi
article en
1 citations

Abstract

A versatile and effective calculator architecture that supports operations in 8, 16, and 32-bit configurations is shown in this work. It is implemented in Verilog and System Verilog. The design incorporates the fundamental arithmetic operations of addition, subtraction, multiplication, and division, along with more complex capabilities like exponentiation, square root, and factorial computations. Additionally, it has shift capabilities and bitwise operations for efficient binary data manipulation. This architecture offers a strong answer for research, engineering, and programming applications where accuracy and flexible bit-width processing are crucial by combining fundamental and sophisticated computational capabilities.

Gautam Buddha University (IN)
Openalex Percentile: Top 29%
Neural Networks and Applications
0.35
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