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This is mitigated by reading large chunks into the cache, in the hope that subsequent reads will be from nearby locations and can be read from the cache. it can take hundreds of clock cycles for a modern 4 GHz processor to reach DRAM. The buffering provided by a cache benefits one or both of latency and throughput ( bandwidth).Ī larger resource incurs a significant latency for access – e.g. There is also a tradeoff between high-performance technologies such as SRAM and cheaper, easily mass-produced commodities such as DRAM, flash, or hard disks. In memory design, there is an inherent trade-off between capacity and speed because larger capacity implies larger size and thus greater physical distances for signals to travel causing propagation delays. Such access patterns exhibit temporal locality, where data is requested that has been recently requested, and spatial locality, where data is requested that is stored near data that has already been requested. Nevertheless, caches are effective in many areas of computing because typical computer applications access data with a high degree of locality of reference. To be cost-effective, caches must be relatively small. Cache hits are served by reading data from the cache, which is faster than recomputing a result or reading from a slower data store thus, the more requests that can be served from the cache, the faster the system performs. A cache hit occurs when the requested data can be found in a cache, while a cache miss occurs when it cannot. In computing, a cache ( / k æ ʃ/ ⓘ KASH) is a hardware or software component that stores data so that future requests for that data can be served faster the data stored in a cache might be the result of an earlier computation or a copy of data stored elsewhere. Additional storage that enables faster access to main storage
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