Optimizing Energy Efficiency in Multi-Core Processors: A Comparative Study of Hardware Technique
- Title
- Optimizing Energy Efficiency in Multi-Core Processors: A Comparative Study of Hardware Technique
- Abstract
-
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. - Scientific Type
- غير معروف
- Journal volume
- Volume 16, Issue 6
- Collaboration type
- مشترك
- Publish Date
- September 17, 2024
- Participated Universities (Publication)
-
Alnoor University
- Scopus status
- In Scopus
- Scopus index year
- 2 024
- Scopus quarter
- 4
- Scopus citation score
- 0.5
- Clarivate status
- Not In Clarivate
- Pub. Med. status
- Not In PubMed
- Author (Publication)
- مصطفى محمد جاسم محمد
- Journal (Publication)
-
Radioelektronika, Nanosistemy, Informacionnye Tehnologii
- Publisher (Publication)
- Russian Academy of Natural Science
- ISSN
- 2218-3000
- Country (Publication)
-
Russian
- Country type
- عالمية
- College (Publication)
-
College of Engineering
- Departement (Publication)
-
Department of AI engineering
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