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A block of memory cannot necessarily be placed at an arbitrary location in the cache; it may be restricted to a particular cache line or a set of cache lines [1] by the cache's placement policy. [2] [3] There are three different policies available for placement of a memory block in the cache: direct-mapped, fully associative, and set-associative.
In computing, cache replacement policies (also known as cache replacement algorithms or cache algorithms) are optimizing instructions or algorithms which a computer program or hardware-maintained structure can utilize to manage a cache of information. Caching improves performance by keeping recent or often-used data items in memory locations ...
When the cache is full, the algorithm must choose which items to discard to make room for the new ones. Due to the inherent caching capability of nodes in Information-centric networking ICN, the ICN can be viewed as a loosely connect network of caches, which has unique requirements of Caching policies.
Cache hierarchy; Cache inclusion policy; Cache line; Cache manifest in HTML5; Cache on a stick; Cache performance measurement and metric; Cache placement policies; Cache poisoning; Cache pollution; Cache prefetching; Cache stampede; Cache thrashing; Cache-oblivious algorithm; Cache-oblivious distribution sort; Ccache; Coherency granule; CPU cache
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The merit of inclusive policy is that, in parallel systems with per-processor private cache if there is a cache miss other peer caches are checked for the block. If the lower level cache is inclusive of the higher level cache and it is a miss in the lower level cache, then the higher level cache need not be searched.
The placement policy decides where in the cache a copy of a particular entry of main memory will go. If the placement policy is free to choose any entry in the cache to hold the copy, the cache is called fully associative. At the other extreme, if each entry in the main memory can go in just one place in the cache, the cache is direct-mapped.
The multiqueue (mq) policy has three sets of 16 queues, using the first set for entries waiting for the cache and the remaining two sets for entries already in the cache, with the latter separated so the clean and dirty entries belong to each of the two sets. The age of cache entries in the queues is based on their associated logical time.