What are the differences in cache sizes in computer architecture?

What are the differences in cache sizes in computer architecture?

Cache sizes refer to the amount of data that can be stored in different levels of cache memory, such as L1, L2, and L3. L1 is the smallest and fastest, while L3 is larger but slower.

Why does L1 cache have a smaller size compared to L2 and L3?

L1 cache is smaller because it needs to be extremely fast to keep up with the CPU's speed. Larger caches like L2 and L3 are slower but can store more data.

How does cache size affect overall system performance?

Larger cache sizes can improve performance by reducing the time the CPU spends waiting for data from the main memory. However, diminishing returns apply after a certain point.

Are there any trade-offs with larger cache sizes?

Yes, larger caches can lead to increased latency and power consumption. It's a balance between speed, size, and efficiency.