Optimizing Power Efficiency and Performance in Multi-Core Processor Architectures: Advances in Chip Design Techniques and Strategies

This paper explores recent advancements in chip design techniques aimed at optimizing power efficiency and performance of multi-core processor architectures. We review various strategies, such as dynamic voltage and frequency scaling (DVFS), advanced power gating, architectural enhancements and architectural gating to address power consumption with compute performance; therefore meeting modern computing applications' growing demands.Recent advances have introduced sophisticated approaches for power management, such as fine-grained power gating and adaptive thermal management, that help mitigate the adverse impact of increasing core density and clock speeds. We discuss the use of machine learning algorithms to predict workload patterns and dynamically adapt power and performance settings. These advancements are vital to meeting the rising computational requirements of applications spanning artificial intelligence to high-performance computing, among others. Our review summarizes current knowledge and identifies emerging trends, providing a thorough understanding of how these techniques can be utilized to increase both energy efficiency and computational capabilities of multi-core processors.