enow.com Web Search

Search results

  1. Results from the WOW.Com Content Network
  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. Temporal locality refers to the reuse of specific data ...

  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

    The most efficient caching algorithm would be to discard information which would not be needed for the longest time; this is known as Bélády's optimal algorithm, optimal replacement policy, or the clairvoyant algorithm. Since it is generally impossible to predict how far in the future information will be needed, this is unfeasible in practice.

  7. Cache coherence - Wikipedia

    en.wikipedia.org/wiki/Cache_coherence

    [2] The following are the requirements for cache coherence: [3] Write Propagation Changes to the data in any cache must be propagated to other copies (of that cache line) in the peer caches. Transaction Serialization Reads/Writes to a single memory location must be seen by all processors in the same order.

  8. Non-uniform memory access - Wikipedia

    en.wikipedia.org/wiki/Non-uniform_memory_access

    Under NUMA, a processor can access its own local memory faster than non-local memory (memory local to another processor or memory shared between processors). [1] NUMA is beneficial for workloads with high memory locality of reference and low lock contention , because a processor may operate on a subset of memory mostly or entirely within its ...

  9. Partitioned global address space - Wikipedia

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

    [1] [2] The novelty of PGAS is that the portions of the shared memory space may have an affinity for a particular process, thereby exploiting locality of reference in order to improve performance. A PGAS memory model is featured in various parallel programming languages and libraries, including: Coarray Fortran , Unified Parallel C , Split-C ...