GPU OLLAMA CACHE

This is a simulated GPU cache system designed to demonstrate the principles of caching algorithms in computer science.

The following are some key components:

• Cache Layer: A high-speed memory layer that stores frequently accessed data.
• Eviction Policy: Determines which items are removed when the cache is full.
• Replacement Algorithm: The algorithm used to select which item to evict.
• Access Time: The time taken to retrieve data from the cache.

1. Cache Layer: This is the fastest part of the system where data is stored temporarily before being moved to main memory.

2. Replacement Algorithm: This is the logic that decides which data to replace when the cache is full. Common algorithms include FIFO (First-In-First-Out) and LRU (Least Recently Used).

3. Access Time: Measures how quickly the cache can respond to a request.

FIFO (First-In-First-Out): Removes the oldest entry in the cache first.

LRU (Least Recently Used): Removes the least recently used entry in the cache first.

LFU (Least Frequently Used): Removes the least frequently used entry in the cache first.

Latency Reduction: Caching reduces the average access time by up to 70% in many applications.

Throughput Increase: Caches allow higher throughput by reducing the number of disk accesses.