Optimizing Energy Efficiency in Multi-Core Processors: A Comparative Study of Hardware Technique
Background: The constant increase in processing demand has prompted the development of multi-core processors, which are critical to obtaining high performance in a variety of computing devices. However, this growth in processing capacity comes at the expense of increased energy consumption, posing substantial problems for energy efficiency. Objective: The article will examine and compare several hardware solutions for improving energy efficiency in multi-core processors, offering a full overview of their effectiveness and application. Methods: We used a quantitative research methodology, simulating multi-core processing environments with various hardware optimization techniques such as Dynamic Voltage and Frequency Scaling (DVFS), Clock Gating, and Power Gating. Each technique was evaluated in a variety of operational circumstances to establish its effect on energy consumption and processing efficiency. Results: The findings show that DVFS provides significant energy savings with negligible performance trade-offs in cases with moderate workloads. In contrast, Clock Gating performed best in low workload settings, whereas Power Gating performed best in high-load conditions, dramatically reducing idle power consumption. Conclusion: The comparison research demonstrates that no single technique beats all others; rather, the choice of an effective energy efficiency strategy is significantly influenced by unique workload factors. A hybrid strategy, which combines both techniques depending on real-time workload demands, can greatly improve the energy efficiency of multi-core processors. This study advances our understanding of energy management in advanced computing systems, providing insights for future research and practical applications in the field of energy-efficient computing.
Authors
- Sadeer Dheyaa Abdulameer
- Maha Barakat (ORCID: https://orcid.org/0009-0000-1172-7131)
- Zaki Saeed Tawfeeq Zaki
- Elaf Sabah Abbas
- Mustafa Mohammmed Jassim
Publication Details
- Journal
- Radioelectronics Nanosystems Information Technologies
- Published
- 2024-09-17
- DOI
- https://doi.org/10.17725/j.rensit.2024.16.813
- Primary Topic
- Parallel Computing and Optimization Techniques
- Type
- article
- Field-Weighted Citation Impact
- 0.00