Exascale Computing
Locality refers to the principle that the performance of a computational task can be significantly improved by minimizing the distance data has to travel between memory and processors. This concept is crucial in parallel computing, particularly when working with Partitioned Global Address Space (PGAS) languages, where understanding and managing data locality allows for more efficient memory access patterns and reduced communication overhead.
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