Explore the three parallel programming models in C++ through this comprehensive conference talk. Delve into unstructured, task-based, and data parallel models, understanding their unique characteristics and appropriate use cases. Learn about the central facilities used in each model, including threads, atomics, mutex, async, future, and parallel algorithms. Gain insights into the evolution of C++ parallelism features from C++11 to C++17 and anticipated C++20 additions. Discover how to choose the right model for different program structures and performance requirements. Examine the shortcomings of thread-level APIs, the benefits of task-based parallelism, and the power of data parallelism with parallel algorithms. Understand how to mix different models in various contexts and compare their strengths and weaknesses. Perfect for C++ developers looking to enhance their parallel programming skills and optimize code performance.