License: Creative Commons Attribution 3.0 Unported license (CC BY 3.0)
When quoting this document, please refer to the following
DOI: 10.4230/LIPIcs.ESA.2019.59
URN: urn:nbn:de:0030-drops-111800
URL: http://dagstuhl.sunsite.rwth-aachen.de/volltexte/2019/11180/
Hübschle-Schneider, Lorenz ;
Sanders, Peter
Parallel Weighted Random Sampling
Abstract
Data structures for efficient sampling from a set of weighted items are an important building block of many applications. However, few parallel solutions are known. We close many of these gaps both for shared-memory and distributed-memory machines. We give efficient, fast, and practicable algorithms for sampling single items, k items with/without replacement, permutations, subsets, and reservoirs. We also give improved sequential algorithms for alias table construction and for sampling with replacement. Experiments on shared-memory parallel machines with up to 158 threads show near linear speedups both for construction and queries.
BibTeX - Entry
@InProceedings{hbschleschneider_et_al:LIPIcs:2019:11180,
author = {Lorenz H{\"u}bschle-Schneider and Peter Sanders},
title = {{Parallel Weighted Random Sampling}},
booktitle = {27th Annual European Symposium on Algorithms (ESA 2019)},
pages = {59:1--59:24},
series = {Leibniz International Proceedings in Informatics (LIPIcs)},
ISBN = {978-3-95977-124-5},
ISSN = {1868-8969},
year = {2019},
volume = {144},
editor = {Michael A. Bender and Ola Svensson and Grzegorz Herman},
publisher = {Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik},
address = {Dagstuhl, Germany},
URL = {http://drops.dagstuhl.de/opus/volltexte/2019/11180},
URN = {urn:nbn:de:0030-drops-111800},
doi = {10.4230/LIPIcs.ESA.2019.59},
annote = {Keywords: categorical distribution, multinoulli distribution, parallel algorithm, alias method, PRAM, communication efficient algorithm, subset sampling, reser}
}
Keywords: |
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categorical distribution, multinoulli distribution, parallel algorithm, alias method, PRAM, communication efficient algorithm, subset sampling, reser |
Collection: |
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27th Annual European Symposium on Algorithms (ESA 2019) |
Issue Date: |
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2019 |
Date of publication: |
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06.09.2019 |
Supplementary Material: |
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The code and scripts used for our experiments are available under the GPLv3 at https://github.com/lorenzhs/wrs. |