What are some design patterns for lock-free data structures?
Lock-free data structures allow multiple threads to operate without locking, improving performance. Common patterns include atomic operations, compare-and-swap, and hazard pointers.
Can you explain the compare-and-swap pattern?
Sure! Compare-and-swap (CAS) is an atomic operation that updates a variable only if it matches an expected value, ensuring thread safety without locks.
What are the advantages of using lock-free structures?
Lock-free structures reduce contention, improve scalability, and avoid deadlocks, making them ideal for high-performance applications.
Are there any downsides to using lock-free data structures?
Yes, they can be more complex to implement and may lead to livelock situations where threads keep changing states without making progress.
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