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  2. Memory access pattern - Wikipedia

    en.wikipedia.org/wiki/Memory_access_pattern

    In computing, a memory access pattern or IO access pattern is the pattern with which a system or program reads and writes memory on secondary storage.These patterns differ in the level of locality of reference and drastically affect cache performance, [1] and also have implications for the approach to parallelism [2] [3] and distribution of workload in shared memory systems. [4]

  3. Locality of reference - Wikipedia

    en.wikipedia.org/wiki/Locality_of_reference

    In computer science, locality of reference, also known as the principle of locality, [1] is the tendency of a processor to access the same set of memory locations repetitively over a short period of time. [2] There are two basic types of reference locality – temporal and spatial locality.

  4. Cache placement policies - Wikipedia

    en.wikipedia.org/wiki/Cache_placement_policies

    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.

  5. Information-centric networking caching policies - Wikipedia

    en.wikipedia.org/wiki/Information-centric...

    The Time aware Least Recently Used (TLRU) [1] is a variant of LRU designed for the situation where the stored contents in cache have a valid life time. The algorithm is suitable in network cache applications, such as information-centric networking (ICN), content delivery networks (CDNs) and distributed networks in general.

  6. Cache replacement policies - Wikipedia

    en.wikipedia.org/wiki/Cache_replacement_policies

    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 ...

  7. LIRS caching algorithm - Wikipedia

    en.wikipedia.org/wiki/LIRS_caching_algorithm

    LIRS (Low Inter-reference Recency Set) is a page replacement algorithm with an improved performance over LRU (Least Recently Used) and many other newer replacement algorithms. [1] This is achieved by using "reuse distance" [ 2 ] as the locality metric for dynamically ranking accessed pages to make a replacement decision.

  8. Addressing mode - Wikipedia

    en.wikipedia.org/wiki/Addressing_mode

    The offset is often small in relation to the size of current computer memories. However, the principle of locality of reference applies: over a short time span, most of the data items a program wants to access are fairly close to each other. This addressing mode is closely related to the indexed absolute addressing mode.

  9. Cache coherence - Wikipedia

    en.wikipedia.org/wiki/Cache_coherence

    A cache coherence protocol is used to maintain cache coherency. The two main types are snooping and directory-based protocols. Cache coherence is of particular relevance in multiprocessing systems, where each CPU may have its own local cache of a shared memory resource. Coherent caches: The value in all the caches' copies is the same.