How does LRU work?
An example of an AI chatbot conversation about how the Least Recently Used (LRU) caching algorithm functions.
Can you explain how the LRU caching algorithm works?
Sure! LRU stands for Least Recently Used. It's a cache eviction algorithm that removes the least recently accessed items first.
How does it keep track of which items are least recently used?
LRU typically uses a data structure like a linked list or a hash map to track the order of access. When an item is accessed, it's moved to the front.
What happens when the cache reaches its limit?
When the cache is full and a new item needs to be added, the LRU algorithm removes the item at the end of the list, which is the least recently used.
Are there any downsides to using LRU?
Yes, LRU can be inefficient in terms of memory usage and performance if not implemented properly, especially with large datasets.
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