Introduction to Parallel Computer Architecture

As software demands grow, single-core processors are no longer enough to handle modern computing workloads. Understanding how parallel hardware operates is essential for writing high-performance code that fully utilizes modern processors.\n\nThis text-based course guides you through the foundational principles of parallel computer architecture. You will progress from basic processor execution concepts to the complexities of multi-core systems, cache coherence, and parallel memory hierarchies, enabling you to reason about hardware performance and design efficient systems.\n\nWhat you'll learn:\n- Learn the fundamental differences between serial and parallel computer architectures.\n- Understand cache coherence protocols and how multi-core systems maintain data consistency.\n- Explore interconnection networks and memory hierarchy designs in modern processors.\n- Analyze instruction-level, thread-level, and data-level parallelism, including SIMD architectures.\n- Practice evaluating hardware performance using key architectural metrics and modern benchmarks.\n\nYou will start with essential terminology and the historical transition to parallel systems. From there, you will study memory consistency models, cache management, and the organizational principles of modern multi-core chips.\n\nThis course is designed for beginner computer science students, software engineers, and hardware enthusiasts who want to understand the inner workings of parallel systems. No prior experience with advanced hardware design is required.\n\nStart reading today to unlock the power of modern parallel hardware.