What are the performance considerations for stdatomic in C++?

What are the performance considerations for stdatomic in C++?

When using stdatomic in C++, performance can be affected by factors like memory ordering, atomic operations overhead, and cache coherence.

Can you explain how memory ordering impacts performance?

Memory ordering determines how operations are seen by other threads. Stronger ordering can lead to more overhead, while relaxed ordering can improve performance but may introduce data races.

What are some best practices to optimize stdatomic usage?

To optimize stdatomic, use the appropriate memory order for your use case, minimize the scope of atomic operations, and consider using lock-free data structures when possible.

Are there any benchmarks comparing stdatomic with other synchronization methods?

Yes, benchmarks often show that stdatomic can be competitive with mutexes in certain scenarios, but the performance varies based on the specific use case and architecture.