Parallel and Distributed Programming: Foundations and Patterns

In a world of multi-core processors and cloud computing, writing sequential code is no longer enough to build high-performance software. This text-based course introduces you to the essential concepts of parallel, concurrent, and distributed programming. You will transition from writing single-threaded applications to understanding how multiple processes and threads interact, share memory, and coordinate across distributed networks. What you will learn: 1. Understand the core differences between concurrency, parallelism, and distributed systems. 2. Master essential synchronization primitives such as mutexes, semaphores, and locks. 3. Identify and resolve common concurrency issues like deadlocks and race conditions. 4. Apply modern design patterns for parallel execution, including thread pools. 5. Explore the basics of distributed computing and message-passing architectures. 6. Analyze software performance to identify bottlenecks and optimize execution flow. The course starts with foundational definitions of threads and processes, progresses through memory models and synchronization, and concludes with practical patterns for distributed architectures. Designed for beginner to intermediate programmers who want to build a solid foundation in high-performance computing, this course requires no prior multi-threading experience. Start reading today to unlock the full potential of modern multi-core hardware.