Energy-Efficient Computing: Designing Sustainable Systems for Performance, Power Optimization, and a Greener Digital Future delivers a comprehensive, forward-looking exploration of how modern computing systems can be engineered to balance performance demands with the urgent need for sustainability. As data centers grow, AI workloads scale, and edge devices proliferate, energy-efficient design is no longer optional—it is essential for the future of digital innovation.

This book provides a complete framework for understanding energy consumption across hardware, software, algorithms, and system design. From processor architectures and thermal management to power-aware scheduling, green cloud computing, and efficient AI model architectures, it equips listeners with practical strategies to reduce power usage while maintaining—or even increasing—computational performance.

Blending theory with real-world case studies, the book highlights the principles, technologies, and engineering practices driving sustainable computing today. It examines cutting-edge trends such as low-power microarchitectures, renewable-energy-aligned data centers, intelligent workload distribution, and emerging paradigms like near-memory computing and carbon-aware AI.