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Cache memory serves as a high-speed storage area that enables faster access to frequently used data by acting as a buffer between the CPU and main memory. Its various characteristics, levels, mapping techniques, replacement policies, and performance metrics are crucial for understanding how cache can significantly enhance system performance and efficiency. The impact of cache design is critical for optimizing CPU throughput and reducing bottlenecks in modern computing systems.
References
ee4-cpa-6.pdfClass Notes
Memorization
What we have learnt
Final Test
Revision Tests
Term: Cache Memory
Definition: A small, high-speed memory close to the CPU that stores frequently accessed data to improve system performance.
Term: Cache Levels
Definition: Various levels of cache (L1, L2, L3) that balance the speed and capacity needed to optimize CPU performance.
Term: Cache Mapping Techniques
Definition: Methods that define how data from main memory is organized into the cache, including direct mapping, fully associative mapping, and set-associative mapping.
Term: Cache Replacement Policies
Definition: Strategies for deciding which cache block to remove when the cache is full, including Least Recently Used (LRU), First-In First-Out (FIFO), and Random replacement.
Term: Write Policies
Definition: Methods that control how data writes occur between cache and main memory, notably write-through and write-back.
Term: Cache Performance Metrics
Definition: Metrics such as hit rate, miss rate, and average memory access time that evaluate the efficiency of cache memory.