What are data races and why are they a problem in software development?
Data races occur when two or more threads access shared data simultaneously, and at least one thread modifies it. This can lead to unpredictable behavior and bugs.
How can I prevent data races in my application?
You can prevent data races by using synchronization mechanisms like mutexes, semaphores, or by designing your application to avoid shared state.
Are there any tools that can help detect data races?
Yes, tools like ThreadSanitizer, Helgrind, and Intel Inspector can help detect data races during development.
What are some best practices for managing shared data?
Best practices include minimizing shared data, using immutable objects, and employing proper locking strategies.
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