Memory hierarchy levels: registers → L1 → L2 → L3 → RAM → SSD → HDD (each ~10× slower)
Memory hierarchy
Memory hierarchy levels: registers → L1 → L2 → L3 → RAM → SSD → HDD (each ~10× slower)
The memory hierarchy is structured to balance speed and capacity, with each level being progressively slower and larger than the previous one. This hierarchy impacts computer performance and design, as it dictates how data is stored and accessed.
Designing for high performance in computer systems necessitates an understanding of the memory hierarchy's restrictions, including the size and capabilities of each component. By optimizing data storage and retrieval across different levels, systems can achieve better performance and efficiency.
The four major storage levels—internal, main, on-line mass storage, and off-line bulk storage—illustrate the general structuring of memory hierarchies. This structuring helps manage the trade-offs between speed, complexity, and capacity in computer systems.
Example
A processor with a small cache (L1) can quickly access frequently used data, while larger and slower levels (L2, L3, RAM, SSD, HDD) store less frequently accessed data, ensuring efficient use of resources.
Understanding the memory hierarchy is crucial for optimizing computer performance and resource management.
Related concepts
CPU cache
L1/L2 cache hierarchy reduces global memory latency
Von Neumann architecture
CPU must fetch both data and instructions from memory
GQA reduces KV-cache memory by the group factor
GQA reduces KV-cache memory by dividing storage by the number of groups
LSM trees optimize: write-heavy workloads by buffering writes in memory
LSM trees optimize write-heavy workloads by buffering writes in memory
instruction-level parallelism (ILP) achieves: multiple operations per clock cycle
Instruction-level parallelism (ILP) achieves: Multiple operations per clock cycle
Delay-line memory
CPU speed grows faster than memory speed
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