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  2. Locality of reference - Wikipedia

    en.wikipedia.org/wiki/Locality_of_reference

    Paging obviously benefits from temporal and spatial locality. A cache is a simple example of exploiting temporal locality, because it is a specially designed, faster but smaller memory area, generally used to keep recently referenced data and data near recently referenced data, which can lead to potential performance increases.

  3. 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]

  4. List of in-memory databases - Wikipedia

    en.wikipedia.org/wiki/List_of_in-memory_databases

    Redis is a source-available software project that implements data structure servers. It is networked, in-memory, and stores keys with optional durability. SafePeak: SafePeak Technologies Proprietary Automated In-Memory Dynamic Caching for SQL Server OLTP applications and databases. Code-free, Dynamic Caching, Relational SAP HANA: SAP SE: 2012 ...

  5. Memory hierarchy - Wikipedia

    en.wikipedia.org/wiki/Memory_hierarchy

    Most modern CPUs are so fast that for most program workloads, the bottleneck is the locality of reference of memory accesses and the efficiency of the caching and memory transfer between different levels of the hierarchy [citation needed]. As a result, the CPU spends much of its time idling, waiting for memory I/O to complete.

  6. Row- and column-major order - Wikipedia

    en.wikipedia.org/wiki/Row-_and_column-major_order

    This is primarily due to CPU caching which exploits spatial locality of reference. [1] In addition, contiguous access makes it possible to use SIMD instructions that operate on vectors of data. In some media such as magnetic-tape data storage , accessing sequentially is orders of magnitude faster than nonsequential access.

  7. List of SAP products - Wikipedia

    en.wikipedia.org/wiki/List_of_SAP_products

    SAP Exchange Infrastructure (XI) (From release 7.0 onwards, SAP XI has been renamed as SAP Process Integration (SAP PI)) SAP Extended Warehouse Management (EWM) SAP FICO; SAP BPC (Business Planning and Consolidation, formerly OutlookSoft) SAP GRC (Governance, Risk and Compliance) SAP EHSM (Environment Health & Safety Management)

  8. Page replacement algorithm - Wikipedia

    en.wikipedia.org/wiki/Page_replacement_algorithm

    Locality of reference of user software has weakened. This is mostly attributed to the spread of object-oriented programming techniques that favor large numbers of small functions, use of sophisticated data structures like trees and hash tables that tend to result in chaotic memory reference patterns, and the advent of garbage collection that ...

  9. LIRS caching algorithm - Wikipedia

    en.wikipedia.org/wiki/LIRS_caching_algorithm

    LIRS organizes metadata of cached pages and some uncached pages and conducts its replacement operations described as below, which are also illustrated with an example [3] in the graph. Replacement operations of LIRS. The cache is divided into a Low Inter-reference Recency (LIR) and a High Inter-reference Recency (HIR) partition.