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  2. 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.

  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. 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.

  5. 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.

  6. Cache replacement policies - Wikipedia

    en.wikipedia.org/wiki/Cache_replacement_policies

    It samples a number of non-aligned cache sets, uses a history of length and emulates Bélády's algorithm on these accesses. This allows the policy to determine which lines should have been cached and which should not, predicting whether an instruction is cache-friendly or cache-averse.

  7. Cache coherence - Wikipedia

    en.wikipedia.org/wiki/Cache_coherence

    In computer architecture, cache coherence is the uniformity of shared resource data that is stored in multiple local caches. In a cache coherent system, if multiple clients have a cached copy of the same region of a shared memory resource, all copies are the same.

  8. Thrashing (computer science) - Wikipedia

    en.wikipedia.org/wiki/Thrashing_(computer_science)

    In virtual memory systems, thrashing may be caused by programs or workloads that present insufficient locality of reference: if the working set of a program or a workload cannot be effectively held within physical memory, then constant data swapping, i.e., thrashing, may occur. The term was first used during the tape operating system days to ...

  9. Partitioned global address space - Wikipedia

    en.wikipedia.org/wiki/Partitioned_global_address...

    In computer science, partitioned global address space (PGAS) is a parallel programming model paradigm. PGAS is typified by communication operations involving a global memory address space abstraction that is logically partitioned, where a portion is local to each process, thread, or processing element.