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Parallel Processing: Best Data Partitioning Strategies for Maximum Efficiency
In parallel processing, data is divided among multiple processing units. They either share memory or communicate over a network. This depends on the architecture. Each processor works on a designated part of the data, either independently or through coordinated task scheduling. In many cases, the computed results are aggregated at the end to produce the final output. A key factor in efficient…
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