Samplesort is a parallel sorting algorithm that is particularly effective for large datasets. It works by dividing the input data into smaller segments, called "samples," and then sorting these samples separately. The main idea behind Samplesort is to use sampling to create a balanced partitioning of the data, which allows for efficient sorting and merging of the segments.
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