research article
A Machine Learning Approach for Power Consumption Forecasting in VLSI Circuits
Vol. 2 , Issue 2 (2024) · pp. 43-48
Abstract
The purpose of this study is to provide a complete investigation on the prediction of power consumption in VLSI circuits by using techniques of machine learning. By conducting an analysis of previous design data, we develop and test prediction algorithms that assist designers in making early decisions that are more in line with power efficiency. Our results, which give large increases in prediction accuracy, reveal promising paths for future optimization of VLSI designs. These possibilities are emphasized and highlighted by our findings.
Keywords:
VLSI
Power Consumption
Machine Learning
Predictive Modeling
Circuit Design
Optimization
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