m07-concurrency

Prevent data races in C++ multithreading by enforcing proper synchronization primitives like std::mutex with std::lock_guard or using std::atomic to protect shared state across threads safely.

Use std::thread vs std::jthread vs std::async based on task lifecycle needs: std::jthread manages automatic joining, std::thread requires manual lifecycle management, and std::async handles asynchronous parallel computations efficiently.

The best way to build a producer-consumer queue or worker pool in modern C++ involves using structured concurrency patterns with proper thread creation, std::mutex synchronization, and safe data sharing across threads.

Avoid deadlocks and false sharing during C++ concurrency by selecting appropriate synchronization primitives, managing thread lifecycles with std::jthread, and applying safe communication patterns for concurrent tasks.

You need std::atomic or std::mutex for safe data sharing across threads in C++ to enforce synchronization, prevent race conditions, and ensure correct concurrent task execution without data corruption.