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== General usage == If most of the time the substantial portion of the references aggregate into clusters, and if the shape of this system of clusters can be well predicted, then it can be used for performance optimization. There are several ways to benefit from locality using [[optimization (computer science)|optimization]] techniques. Common techniques are: * Increasing the locality of references (generally on the software side) * Exploiting the locality of references: Generally achieved on the hardware side, temporal and spatial locality can be capitalized by hierarchical storage hardware. The equidistant locality can be used by the appropriately specialized instructions of the processors, this possibility is not only the responsibility of hardware, but the software as well, whether its structure is suitable for compiling a binary program that calls the specialized instructions in question. The branch locality is a more elaborate possibility, hence more developing effort is needed, but there is much larger reserve for future exploration in this kind of locality than in all the remaining ones.
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