C++ Concurrency: Parallelizing Calculations with Threads and Futures

Sequential execution limits the speed of many computational tasks, such as complex data processing or calculating scalar products. To unlock modern CPU potential, developers must master concurrent programming. This course teaches you how to leverage C++'s powerful concurrency features to break down demanding calculations and execute them in parallel, drastically improving application performance and throughput. You will gain the foundational knowledge necessary to design safe, efficient, and scalable concurrent C++ programs. What you'll learn: * Understand the core concepts of threads, processes, and parallel execution models in C++. * Practice dividing large numerical tasks, like scalar product calculations, into manageable concurrent units. * Master the use of asynchronous functions (`std::async`) and promises (`std::future`) for efficient task management. * Apply essential synchronization primitives, including mutexes and atomic variables, to manage shared data safely. * Configure and manage basic thread pools to optimize resource usage for common computation patterns. The course begins with foundational terminology and the C++ memory model, progressing through practical, text-based exercises where you implement parallel versions of core numerical algorithms using standard library features. You will focus on writing code that is both fast and thread-safe. This course is designed for C++ developers who are new to parallel programming and want to write high-performance, concurrent applications. No prior experience in threading or specialized concurrency libraries is required. Start writing faster, more efficient C++ code today.