Foundations of Multiprocessor Architecture and Cache Coherence

Modern software relies on hardware with multiple processing cores, but writing efficient code requires understanding how these processors communicate and share memory. In this text-based course, you will build a solid mental model of multiprocessor systems, moving from basic CPU hardware concepts to complex memory hierarchies. You will read comprehensive breakdowns of cache behavior, explore why cache coherence matters, and understand how hardware design directly impacts multi-threaded software performance. What you'll learn: 1. Understand the fundamentals of multi-core CPU design and memory hierarchies. 2. Master the principles of cache coherence and the classic MESI protocol. 3. Explore Non-Uniform Memory Access (NUMA) and its impact on modern system architecture. 4. Analyze how hardware-level memory consistency models affect multi-threaded execution. 5. Apply cache-aware programming techniques to prevent performance bottlenecks like false sharing. 6. Evaluate how multi-CPU scheduling decisions interact with cache locality. The course begins with foundational hardware terminology and core concepts before guiding you through the mechanics of cache synchronization and real-world performance optimization strategies. This course is designed for software developers, systems engineers, and computer science students who want a clear introduction to hardware-level concurrency. No prior background in hardware engineering is required. Start reading today to unlock a deeper understanding of the hardware running your code.