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Memory hierarchy affects performance in computer architectural design, algorithm predictions, and lower level programming constructs involving locality of reference. Designing for high performance requires considering the restrictions of the memory hierarchy, i.e. the size and capabilities of each component.
A form of level of detail management has been applied to texture maps for years, under the name of mipmapping, also providing higher rendering quality. It is commonplace to say that "an object has been LOD-ed" when the object is simplified by the underlying LOD-ing algorithm as well as a 3D modeler manually creating LOD models. [citation needed]
Cache hierarchy, or multi-level cache, is a memory architecture that uses a hierarchy of memory stores based on varying access speeds to cache data. Highly requested data is cached in high-speed access memory stores, allowing swifter access by central processing unit (CPU) cores.
The execution time is the time for a cache access, and the memory stall cycles include the time to service a cache miss and access lower levels of memory. If the access latency, miss rate and miss penalty are known, the average memory access time can be calculated with: = +
In computer architecture, memory-level parallelism (MLP) is the ability to have pending multiple memory operations, in particular cache misses or translation lookaside buffer (TLB) misses, at the same time. In a single processor, MLP may be considered a form of instruction-level parallelism (ILP).
If the lower level cache contains only blocks that are not present in the higher level cache, then the lower level cache is said to be exclusive of the higher level cache. If the contents of the lower level cache are neither strictly inclusive nor exclusive of the higher level cache, then it is called non-inclusive non-exclusive (NINE) cache ...
When examining blood oxygen levels, scientists found that lower oxygen levels during sleep was correlated with both higher hippocampal volume and white matter hyperintensities, or areas of brain ...
A common computational model in analyzing communication-avoiding algorithms is the two-level memory model: There is one processor and two levels of memory. Level 1 memory is infinitely large. Level 0 memory ("cache") has size . In the beginning, input resides in level 1. In the end, the output resides in level 1.