Introduction to Multiprocessor Scheduling: CPU Management and Load Balancing

Modern computing relies on multicore systems, yet managing how tasks run across multiple processors remains one of the most complex challenges in systems engineering. In this text-based course, you will transition from understanding simple single-core execution to analyzing and designing sophisticated multiprocessor scheduling strategies. You will gain a deep understanding of queue architectures, synchronization bottlenecks, and hardware-aware optimization techniques. What you'll learn: - Understand foundational CPU scheduling concepts, including single-queue and multi-queue architectures. - Analyze the critical role of cache affinity and how it impacts system latency and execution throughput. - Apply modern load-balancing algorithms to distribute workloads evenly across multiple processing cores. - Explore modern operating system challenges, such as NUMA (Non-Uniform Memory Access) awareness and energy-aware scheduling. - Evaluate performance trade-offs between scheduling overhead, fairness, and system responsiveness. The course begins with core operating system concepts and foundational hardware definitions before moving into practical scheduling algorithms, queue structures, and modern multicore optimization strategies. You will study written architectural walkthroughs and conceptual code snippets to reinforce your learning. This course is designed for software developers, system administrators, and computer science students who are new to systems-level programming and operating system internals. No advanced hardware background is required. Start reading today to unlock the secrets of high-performance multicore computing.