Linux Multiprocessor Scheduling: Architecture and Algorithms

Modern computing relies on multi-core processors, but managing how tasks are distributed across these cores is one of the operating system's greatest challenges. This written course guides you through the inner workings of Linux multiprocessor scheduling, demystifying how the kernel decides when and where to run your processes. You will transition from a basic understanding of operating systems to a deep comprehension of how Linux manages complex multi-core environments. You will explore core scheduling algorithms, study load-balancing strategies, and learn how the kernel optimizes performance for modern hardware architectures. What you'll learn: - Understand fundamental scheduling concepts, process states, and kernel thread management. - Compare key historical and modern schedulers including O(1), the Completely Fair Scheduler (CFS), and BFS. - Analyze multi-core load balancing, processor affinity, and runqueue architectures. - Explore modern Energy Aware Scheduling (EAS) for asymmetric and hybrid multi-core systems. - Evaluate NUMA-aware scheduling and its impact on memory latency and performance. - Practice identifying scheduler behavior and CPU bottlenecks using system tracing concepts. The course starts with foundational operating system terminology and CPU architectures before diving into specific scheduling algorithms. You will progress through clear, written explanations and architectural walkthroughs to see how these theories apply to modern Linux environments. This course is designed for software developers, system administrators, and engineering students who want to understand operating system internals. No prior kernel development experience is required. Start reading today to unlock the secrets of Linux multi-core performance management.