Foundations of Multi-CPU Scheduling and Synchronization

In modern multi-core computing, running tasks across multiple CPUs simultaneously can lead to unpredictable behavior and data corruption if not properly coordinated. Understanding how to manage shared resources is critical for writing correct, high-performance software. This text-based course guides you through the core principles of multi-CPU scheduling and synchronization, helping you transition from understanding basic CPU execution models to identifying race conditions and implementing robust locking mechanisms that ensure data integrity. What you'll learn: - Understand the fundamental challenges of concurrent execution and multi-CPU scheduling. - Identify race conditions and data corruption risks in shared memory environments. - Apply locking mechanisms like mutexes and spinlocks to protect critical sections. - Explore modern atomic operations and lock-free programming concepts for optimized performance. - Analyze common synchronization pitfalls including deadlocks and priority inversion. - Practice designing safe concurrent workflows through written code analysis and conceptual exercises. The course starts with foundational hardware and operating system concepts before progressing to practical synchronization primitives. You will study realistic scenarios and learn how to apply modern concurrency patterns to prevent system instability. This course is designed for beginner software engineers, computer science students, and systems enthusiasts with no prior experience in multi-threaded programming. Start reading today to master the essential mechanics of safe concurrent systems.