How does LRU caching work?
An example of an AI chatbot conversation about LRU caching mechanisms and their efficiency.
Can you explain how LRU caching works?
Sure! LRU stands for Least Recently Used. It's a caching algorithm that removes the least recently accessed items when the cache reaches its limit.
How does it decide which item to remove?
It keeps track of the order in which items are accessed. When the cache is full, it evicts the item that hasn't been used for the longest time.
What are the benefits of using LRU caching?
LRU caching helps improve performance by keeping frequently accessed data in memory, reducing the time needed to fetch data from slower storage.
Are there any downsides to LRU caching?
Yes, it can be more complex to implement and may require additional memory to track access order, which can be a trade-off.
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