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Designing Concurrent Data Structures
In the previous chapter, we touched on the basics of concurrency and multithreading in C++. One of the biggest challenges in concurrent code design is properly handling data races. The concepts of thread synchronization and orchestration are not easy to grasp. However, they are essential. While we can use synchronization primitives such as mutexes in all places where data races may occur, that practice has costs and side effects, which must be considered.
A better way of designing concurrent code is to avoid locks at all costs. That would not only increase the performance of the application but also make it much safer than before. Easier said than done – lock-free programming is a challenging topic, which ...
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