Automated ASIC Design Optimization Using Neural Architecture Search Techniques

<p>Application-Specific Integrated Circuits (ASICs) are tailored to maximize performance, efficiency and resource utilization for<br>specific tasks, yet the complexity of designing optimized ASIC architectures remains a significant challenge. This paper explores<br>the use of Neural Architecture Search (NAS) to streamline and enhance ASIC design by automating the selection of optimal<br>architectures based on predefined performance, area and power criteria.</p>

Authors

Publication Details

Journal
International Journal of Current Research in Science Engineering & Technology
Published
2024-12-23
DOI
https://doi.org/10.30967/ijcrset/rashmitha-reddy-vuppunuthula/149
Primary Topic
Manufacturing Process and Optimization
Type
article
Field-Weighted Citation Impact
0.00
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article

Automated ASIC Design Optimization Using Neural Architecture Search Techniques

Rashmitha RV
International Journal of Current Research in Science Engineering & Technology
Manufacturing Process and Optimization
article

Automated ASIC Design Optimization Using Neural Architecture Search Techniques

Rashmitha RV
article en

Abstract

<p>Application-Specific Integrated Circuits (ASICs) are tailored to maximize performance, efficiency and resource utilization for<br>specific tasks, yet the complexity of designing optimized ASIC architectures remains a significant challenge. This paper explores<br>the use of Neural Architecture Search (NAS) to streamline and enhance ASIC design by automating the selection of optimal<br>architectures based on predefined performance, area and power criteria.</p>

International Journal of Current Research in Science Engineering & TechnologyVol. 7(4)
Openalex Percentile: Top 65%
Manufacturing Process and Optimization
DOIOpen Access PDFOpenAlex
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Automated ASIC Design Optimization Using Neural Architecture Search Techniques — Rashmitha RV · International Journal of Current Research in Science Engineering & Technology (2024) | TGRS Research Map | TGRS