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DOE OSTI · 1046566

Randomized selection on the GPU

Monroe, Laura Marie·Wendelberger, Joanne R·Michalak, Sarah E
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Abstract

We implement here a fast and memory-sparing probabilistic top N selection algorithm on the GPU. To our knowledge, this is the first direct selection in the literature for the GPU. The algorithm proceeds via a probabilistic-guess-and-chcck process searching for the Nth element. It always gives a correct result and always terminates. The use of randomization reduces the amount of data that needs heavy processing, and so reduces the average time required for the algorithm. Probabilistic Las Vegas algorithms of this kind are a form of stochastic optimization and can be well suited to more general parallel processors with limited amounts of fast memory.

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97 MATHEMATICS AND COMPUTINGALGORITHMSOPTIMIZATIONPROCESSINGSUPERCOMPUTERS

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Monroe, Laura Marie, Wendelberger, Joanne R, Michalak, Sarah E. 2011-01-13. Randomized selection on the GPU. https://www.osti.gov/biblio/1046566

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