Adaptive Power Management Techniques in Multi Core VLSI Systems for Enhanced Energy Efficiency

Karthikeyan M, Aravinth P, Heiner A J

2025

Abstract

The paper proposes an adaptive power management system for multi-core VLSI designs that can optimize energy utilization and heat dissipation. Traditional static power management strategies, such as voltage scaling and core gating, do not account for dynamic workloads, resulting in energy holes and thermal stress. The proposed system overcomes those shortcomings by utilizing workload monitoring in real-time, dynamic voltage and frequency scaling (DVFS), core-level power gating, and a machine learning-based workload prediction technique. In the high-performance end, the system outperforms the overall power by 35%. Furthermore, it achieves decreased thermal dissipation, with maximum temperatures as low as 75 °C compared to 80-85 °C in state-of-the art systems. The performance comparison results reveal that the proposed system has near execution speeds under a variety of workloads, indicating its potential for energy-efficient, scalable VLSIs at the expense of power-constrained applications.

Paper Citation

in Harvard Style

M K., P A. and A J H. (2025). Adaptive Power Management Techniques in Multi Core VLSI Systems for Enhanced Energy Efficiency. In Proceedings of the 3rd International Conference on Futuristic Technology - Volume 1: INCOFT; ISBN 978-989-758-763-4, SciTePress, pages 692-700. DOI: 10.5220/0013583800004664

in Bibtex Style

@conference{incoft25,
author={Karthikeyan M and Aravinth P and Heiner A J},
title={Adaptive Power Management Techniques in Multi Core VLSI Systems for Enhanced Energy Efficiency},
booktitle={Proceedings of the 3rd International Conference on Futuristic Technology - Volume 1: INCOFT},
year={2025},
pages={692-700},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013583800004664},
isbn={978-989-758-763-4},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 3rd International Conference on Futuristic Technology - Volume 1: INCOFT
TI - Adaptive Power Management Techniques in Multi Core VLSI Systems for Enhanced Energy Efficiency
SN - 978-989-758-763-4
AU - M K.
AU - P A.
AU - A J H.
PY - 2025
SP - 692
EP - 700
DO - 10.5220/0013583800004664
PB - SciTePress