Concurrent Counters and Scalable Locking Techniques

In modern software development, managing shared state across multiple CPU cores without sacrificing performance is a critical challenge. This course provides a clear, step-by-step path to understanding how threads interact and how to prevent data corruption in high-concurrency environments. You will transition from basic synchronization concepts to designing highly scalable, low-contention systems. What you'll learn: - Understand the core principles of race conditions, thread safety, and mutual exclusion - Implement basic locking mechanisms to protect shared integer states - Analyze the performance bottlenecks of centralized locks under high thread contention - Design scalable approximate counters using distributed local and global state - Apply modern lock-free patterns and atomic operations where appropriate - Practice evaluating concurrency trade-offs between precision and execution speed The course begins with foundational definitions of threads, shared memory, and synchronization primitives. From there, you will explore practical locking strategies and progressively transition to advanced scalable design patterns like approximate counting. This course is designed for beginner to intermediate programmers who understand basic programming logic and want to master concurrent data structures. No prior multi-threading experience is required. Start reading today to build faster, thread-safe software that scales with modern hardware.