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Set-associative cache is a trade-off between direct-mapped cache and fully associative cache. A set-associative cache can be imagined as a n × m matrix. The cache is divided into ‘n’ sets and each set contains ‘m’ cache lines. A memory block is first mapped onto a set and then placed into any cache line of the set.
The latency of a cache describes how long after requesting a desired item the cache can return that item when there is a hit. Faster replacement strategies typically track of less usage information—or, with a direct-mapped cache, no information—to reduce the time required to update the information.
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Cache hierarchy, or multi-level cache, is a memory architecture that uses a hierarchy of memory stores based on varying access speeds to cache data. Highly requested data is cached in high-speed access memory stores, allowing swifter access by central processing unit (CPU) cores.
Dinero is a uniprocessor CPU cache simulator for memory reference traces written by Dr. Jan Edler and Prof. Mark D. Hill of the University of Wisconsin–Madison. It is frequently used for educational purposes.
A victim cache is a hardware cache designed to reduce conflict misses and enhance hit latency for direct-mapped caches. It is utilized in the refill path of a Level 1 cache, where any cache-line evicted from the cache is cached in the victim cache. As a result, the victim cache is populated only when data is evicted from the Level 1 cache.
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Diagram of a CPU memory cache operation. In computing, a cache (/ k æ ʃ / ⓘ KASH) [1] is a hardware or software component that stores data so that future requests for that data can be served faster; the data stored in a cache might be the result of an earlier computation or a copy of data stored elsewhere.