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A benchmark parallel sort for shared memory multiprocessors

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2 Author(s)
Francis, R.S. ; Dept. of Comput. Sci., La Trobe Univ., Bundoora, Vic., Australia ; Mathieson, I.D.

The first parallel sort algorithm for shared memory MIMD (multiple-instruction-multiple-data-stream) multiprocessors that has a theoretical and measured speedup near linear is exhibited. It is based on a novel asynchronous parallel merge that evenly partitions data to be merged among any number of processors. A benchmark sorting algorithm is proposed that uses this merge to remove the linear time bottleneck inherent in previous multiprocessors sorts. This sort, when applied to data set on p processors, has a time complexity of O((n log n)/p)+O((n log p)/p) and a space complexity of 2n, where n is the number of keys being sorted. Evaluations of the merge and benchmark sort algorithms on a 12-processor Sequent Balance 21000 System demonstrate near-linear speedup when compared to sequential Quicksort.

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Computers, IEEE Transactions on  (Volume:37 ,  Issue: 12 )