DESIGN OF OPTIMIZED ALU

The pursuit of enhanced performance and efficiency in digital circuits has led to a continuous evolution of Arithmetic Logic Units (ALUs) – pivotal components in modern processors. This paper explores novel strategies for optimizing ALU design by dissecting the optimization process into key components. We delve into the intricacies of each design aspect, emphasizing the synthesis of Verilog Hardware Description Language (HDL) for simulation and verification. The objective is to present a comprehensive view of ALU optimization, addressing both speed and power consumption considerations. Our innovative approach incorporates parallel processing techniques, efficient data path design, and advanced control unit strategies, aiming to redefine the landscape of ALU architectures. Through simulation and analysis, we evaluate the proposed optimizations, demonstrating significant improvements in ALU performance. This paper serves as a valuable resource for researchers and engineers seeking to enhance ALU functionality and efficiency in contemporary processor designs.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-09-04
DOI
https://doi.org/10.5281/zenodo.13683008
Primary Topic
Embedded Systems Design Techniques
Type
article
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article

DESIGN OF OPTIMIZED ALU

Zenodo (CERN European Organization for Nuclear Research)
Embedded Systems Design Techniques
article

DESIGN OF OPTIMIZED ALU

article en

Abstract

The pursuit of enhanced performance and efficiency in digital circuits has led to a continuous evolution of Arithmetic Logic Units (ALUs) – pivotal components in modern processors. This paper explores novel strategies for optimizing ALU design by dissecting the optimization process into key components. We delve into the intricacies of each design aspect, emphasizing the synthesis of Verilog Hardware Description Language (HDL) for simulation and verification. The objective is to present a comprehensive view of ALU optimization, addressing both speed and power consumption considerations. Our innovative approach incorporates parallel processing techniques, efficient data path design, and advanced control unit strategies, aiming to redefine the landscape of ALU architectures. Through simulation and analysis, we evaluate the proposed optimizations, demonstrating significant improvements in ALU performance. This paper serves as a valuable resource for researchers and engineers seeking to enhance ALU functionality and efficiency in contemporary processor designs.

Zenodo (CERN European Organization for Nuclear Research)
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Embedded Systems Design Techniques
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