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Tradução e análise de palavras por inteligência artificial ChatGPT

Nesta página você pode obter uma análise detalhada de uma palavra ou frase, produzida usando a melhor tecnologia de inteligência artificial até o momento:

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etimologia

O que (quem) é write back cache - definição

COMPUTING COMPONENT THAT TRANSPARENTLY STORES DATA SO THAT FUTURE REQUESTS FOR THAT DATA CAN BE SERVED FASTER

Caching; Draft:Cache memory; Write-through; Write-thru; Write-back; No-write allocation; Cache miss; Cache conflict; Cache hit; Cache-Memory; Memory cache; Write through cache; Write back cache; Cash memory; Cache misses; Cacheable content; Cache Memory; Dirty cache; Dirty flag; SQL caching; Game Cache File; Lazy write; Dirty (computer science); Backing store; Result cache; Memory caching; Caching (computing); Write-around; Write-behind; Writeback; Cache memory; GPU cache; Cache hit ratio; Cache hit rate; Write-back cache; Hardware cache; Software caches; Remote memory; Remote cache; Stack cache; Copy back cache; Writethrough

cache miss

<storage> A request to read from memory which cannot be satisfied from the cache, for which the main memory has to be consulted. Opposite: cache hit. (1997-01-21)

no-write allocation

<memory management> A cache policy where only processor reads are cached, thus avoiding the need for write-back or write-through. (1996-06-12)

cache conflict

<storage> A sequence of accesses to memory repeatedly overwriting the same cache entry. This can happen if two blocks of data, which are mapped to the same set of cache locations, are needed simultaneously. For example, in the case of a direct mapped cache, if arrays A, B, and C map to the same range of cache locations, thrashing will occur when the following loop is executed: for (i = 1; i < n; i++) C[i] = A[i] + B[i]; Cache conflict can also occur between a program loop and the data it is accessing. See also ping-pong. (1997-01-21)

Wikipédia

Cache (computing)

In computing, a cache ( (listen) KASH) 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. A cache hit occurs when the requested data can be found in a cache, while a cache miss occurs when it cannot. Cache hits are served by reading data from the cache, which is faster than recomputing a result or reading from a slower data store; thus, the more requests that can be served from the cache, the faster the system performs.

To be cost-effective and to enable efficient use of data, caches must be relatively small. Nevertheless, caches have proven themselves in many areas of computing, because typical computer applications access data with a high degree of locality of reference. Such access patterns exhibit temporal locality, where data is requested that has been recently requested already, and spatial locality, where data is requested that is stored physically close to data that has already been requested.

https://en.wikipedia.org/wiki/Cache (computing)