![]() More efficient replacement policies keep track of more usage information in order to improve the hit rate (for a given cache size). The "hit ratio" of a cache describes how often a searched-for item is actually found in the cache. ![]() There are also a number of secondary factors affecting cache performance. There are two primary figures of merit of a cache: The average memory reference time is T = m × T m + T h + E = various secondary effects, such as queuing effects in multiprocessor systems When the cache is full, the algorithm must choose which items to discard to make room for the new ones. Caching improves performance by keeping recent or often-used data items in memory locations that are faster or computationally cheaper to access than normal memory stores. In computing, cache replacement policies (also frequently called cache replacement algorithms or cache algorithms) are optimizing instructions, or algorithms, that a computer program or a hardware-maintained structure can utilize in order to manage a cache of information stored on the computer. ( Learn how and when to remove this template message) ( September 2022) ( Learn how and when to remove this template message) There might be a discussion about this on the talk page. This article may be confusing or unclear to readers.
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