This book by Mara Bos explores Rust programming language's concurrency features, including atomics, locks, and memory ordering. Readers will gain a practical understanding of low-level concurrency in Rust, covering topics like mutexes and condition variables. The book provides insights on implementing correct concurrency code and building custom locking and synchronization mechanisms.

The Go memory model needs updates to clarify how synchronization works and to endorse race detectors for safer concurrency. It suggests adding typed atomic operations and possibly unsynchronized atomics to improve program correctness and performance. The goal is to ensure that Go programs behave consistently and avoid data races, making them easier to debug.

Modern programming languages use atomic variables and operations to help synchronize threads and prevent data races. This ensures that programs run correctly by allowing proper communication between threads without inconsistent memory access. All major languages, like C++, Java, and Rust, support sequentially consistent atomics to simplify the development of multithreaded programs.

The document delves into the complexities of concurrency for systems programmers, explaining the challenges of running multithreaded programs where code is optimized and executed in unexpected sequences. It covers fundamental concepts like atomicity, enforcing order in multithreaded programs, and memory orderings. The text emphasizes the importance of understanding how hardware, compilers, programming languages, and applications interact to create a sense of order in multithreaded programs. Key topics include atomic operations, read-modify-write operations, compare-and-swap mechanisms, and memory barriers in weakly-ordered hardware architectures.