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Baddeley's model of the phonological loop. The phonological loop (or articulatory loop) as a whole deals with sound or phonological information.It consists of two parts: a short-term phonological store with auditory memory traces that are subject to rapid decay and an articulatory rehearsal component (sometimes called the articulatory loop) that can revive the memory traces.
Phonemic processing includes remembering the word by the way it sounds (e.g. the word tall rhymes with fall). Lastly, we have semantic processing in which we encode the meaning of the word with another word that is similar or has similar meaning. Once the word is perceived, the brain allows for a deeper processing.
The cache line is selected based on the valid bit [1] associated with it. If the valid bit is 0, the new memory block can be placed in the cache line, else it has to be placed in another cache line with valid bit 0. If the cache is completely occupied then a block is evicted and the memory block is placed in that cache line.
Cache control instructions are specific to a certain cache line size, which in practice may vary between generations of processors in the same architectural family. Caches may also help coalescing reads and writes from less predictable access patterns (e.g., during texture mapping ), whilst scratchpad DMA requires reworking algorithms for more ...
In the philosophy of mind, neuroscience, and cognitive science, a mental image is an experience that, on most occasions, significantly resembles the experience of "perceiving" some object, event, or scene but occurs when the relevant object, event, or scene is not actually present to the senses.
When caches are used, the system may introduce the risk of false conflicts due to the use of cache line granularity. [3] Load-link/store-conditional (LL/SC) offered by many RISC processors can be viewed as the most basic transactional memory support; however, LL/SC usually operates on data that is the size of a native machine word, so only ...
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An optimal cache-oblivious algorithm is a cache-oblivious algorithm that uses the cache optimally (in an asymptotic sense, ignoring constant factors). Thus, a cache-oblivious algorithm is designed to perform well, without modification, on multiple machines with different cache sizes, or for a memory hierarchy with different levels of cache ...