Single-Queue Scheduling and Cache Affinity in Multi-CPU Systems

Modern computing relies on multi-CPU and multi-core architectures, making efficient task distribution essential for system performance. Managing how these processors share the workload requires a deep understanding of scheduling algorithms and hardware limitations. This text-only course guides you through the fundamentals of single-queue multiprocessor scheduling, its inherent scalability bottlenecks, and the critical concept of cache affinity. You will gain a solid conceptual foundation in operating system design and processor coordination. What you'll learn: - Understand the core mechanics of single-queue scheduling in multi-CPU environments - Analyze the synchronization overhead and scalability challenges of shared queues - Explore cache affinity and how CPU caching affects process scheduling decisions - Learn how modern operating systems balance workloads while maintaining cache warmth - Compare single-queue approaches with multi-queue scheduling architectures - Discover how NUMA (Non-Uniform Memory Access) influences modern system design Starting with foundational operating system concepts and CPU cache basics, you will progress to analyzing scheduling trade-offs and modern multi-core optimization strategies through clear, written explanations. This course is designed for aspiring systems engineers, computer science students, and developers seeking a clear, beginner-friendly introduction to low-level system design, with no advanced prerequisites required. Start reading today to unlock the core principles of multi-CPU performance engineering.