Concurrency
After covering lazy evaluation and proxy objects in the last chapter, we will now explore how to write concurrent programs in C++ using threads with shared memory. We will look at ways to make concurrent programs correct by writing programs that are free from data races and deadlocks. This chapter will also contain advice on how to make concurrent programs run with low latency and high throughput.
Before we go any further, you should know that this chapter is not a complete introduction to concurrent programming, nor will it cover all the details of concurrency in C++. Instead, this chapter is an introduction to the core building blocks of writing concurrent programs in C++, mixed with some performance-related guidelines. If you haven't written concurrent programs before, it is wise to go through some introductory material to cover the theoretical aspects of concurrent programming. Concepts such as deadlocks, critical sections, condition variables, and mutexes...
