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Parallel Quicksort without Pairwise Element Exchange

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abstract

Quicksort is an instructive classroom approach to parallel sorting on distributed memory parallel computers with many opportunities for illustrating specific implementation alternatives and tradeoffs with common communication interfaces like MPI. The (two) standard distributed memory Quicksort implementations exchange partitioned data elements at each level of the Quicksort recursion. In this note, we show that this is not necessary: It suffices to distribute only the chosen pivots, and postpone element redistribution to the bottom of the recursion. This reduces the total volume of data exchanged from $O(n\log p)$ to $O(n)$, $n$ being the total number of elements to be sorted and $p$ a power-of-two number of processors, by trading off against a total of $O(p)$ additional pivot element distributions. Based on this observation, we describe new, \emph{exchange-free} implementation variants of parallel Quicksort and of Wagar's HyperQuicksort. We have implemented the discussed four different Quicksort variations in MPI, and show that with good pivot selection, Quicksort without pairwise element exchange can be significantly faster than standard implementations on moderately large problems.

fields

cs.DS 1

years

2024 1

verdicts

UNVERDICTED 1

representative citing papers

Parallel Integer Sort: Theory and Practice

cs.DS · 2024-01-01 · unverdicted · novelty 7.0

Tighter bounds for practical parallel integer sorts plus DovetailSort, which handles duplicates effectively via combined sorting ideas and shows competitive performance on synthetic and real datasets.

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  • Parallel Integer Sort: Theory and Practice cs.DS · 2024-01-01 · unverdicted · none · ref 59 · internal anchor

    Tighter bounds for practical parallel integer sorts plus DovetailSort, which handles duplicates effectively via combined sorting ideas and shows competitive performance on synthetic and real datasets.