How does cache affect system latency?

Can you explain how cache affects system latency?

Sure! Cache is a small-sized type of volatile memory that provides high-speed data access to the processor. It stores frequently accessed data, which reduces the time it takes to retrieve this data compared to fetching it from the main memory.

What happens if the cache is full?

When the cache is full, the system must decide which data to evict to make room for new data. This process can introduce latency, as it may require fetching the evicted data from slower memory.

Are there different levels of cache?

Yes, there are typically multiple levels of cache, such as L1, L2, and L3. L1 is the fastest and closest to the CPU, while L3 is larger but slower. Each level helps reduce latency by storing data at different speeds.

How can I optimize cache usage?

You can optimize cache usage by improving data locality, using efficient algorithms, and minimizing cache misses. This helps ensure that the most frequently accessed data remains in the cache.