How can I optimize performance in asynchronous C++ code?

How can I optimize performance in asynchronous C++ code?

To optimize performance in asynchronous C++, consider using efficient data structures, minimizing context switches, and leveraging thread pools.

What are some common pitfalls to avoid in async C++?

Common pitfalls include excessive locking, not handling exceptions properly, and creating too many threads which can lead to overhead.

Can you explain how to use futures and promises effectively?

Futures and promises allow you to write asynchronous code that can return results. Use promises to set values and futures to retrieve them.

Are there any libraries that can help with async performance?

Yes, libraries like Boost.Asio and Intel TBB provide powerful abstractions for managing asynchronous tasks efficiently.

What profiling tools can I use to analyze my async C++ code?

You can use tools like Valgrind, gprof, or Intel VTune to profile your asynchronous C++ code and identify bottlenecks.