Programming Language Memory Models: Challenges and Solutions in Concurrent Programming
2024-12-12
This article delves into programming language memory models, specifically the behavior of shared memory in multithreaded programs. Using a simple C-like program as an example, it illustrates how compiler optimizations can lead to unexpected results, such as race conditions between threads. To address this, modern languages introduce atomic variables and atomic operations to ensure thread synchronization and avoid data races. The article compares the memory models of Java, C++, Rust, and other languages, analyzing their strengths and weaknesses and evolution, and points out the remaining challenges in formally defining memory models.