License: Creative Commons Attribution 4.0 International license (CC BY 4.0)
When quoting this document, please refer to the following
DOI: 10.4230/LIPIcs.DISC.2022.45
URN: urn:nbn:de:0030-drops-172363
URL: https://drops.dagstuhl.de/opus/volltexte/2022/17236/
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Kharal, Rosina F. ; Brown, Trevor

Brief Announcement: Performance Anomalies in Concurrent Data Structure Microbenchmarks

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LIPIcs-DISC-2022-45.pdf (0.5 MB)


Abstract

Recent decades have witnessed a surge in the development of concurrent data structures with an increasing interest in data structures implementing concurrent sets (CSets). Microbenchmarking tools are frequently utilized to evaluate and compare performance differences across concurrent data structures. The underlying structure and design of the microbenchmarks themselves can play a hidden but influential role in performance results. However, the impact of microbenchmark design has not been well investigated. In this work, we illustrate instances where concurrent data structure performance results reported by a microbenchmark can vary 10-100x depending on the microbenchmark implementation details. We investigate factors leading to performance variance across three popular microbenchmarks and outline cases in which flawed microbenchmark design can lead to an inversion of performance results between two concurrent data structure implementations. We further derive a prescriptive approach for best practices in the design and utilization of concurrent data structure microbenchmarks.

BibTeX - Entry

@InProceedings{kharal_et_al:LIPIcs.DISC.2022.45,
  author =	{Kharal, Rosina F. and Brown, Trevor},
  title =	{{Brief Announcement: Performance Anomalies in Concurrent Data Structure Microbenchmarks}},
  booktitle =	{36th International Symposium on Distributed Computing (DISC 2022)},
  pages =	{45:1--45:3},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-255-6},
  ISSN =	{1868-8969},
  year =	{2022},
  volume =	{246},
  editor =	{Scheideler, Christian},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/opus/volltexte/2022/17236},
  URN =		{urn:nbn:de:0030-drops-172363},
  doi =		{10.4230/LIPIcs.DISC.2022.45},
  annote =	{Keywords: concurrent microbenchmarks, concurrent data structures, high performance simulations, PRNGs}
}

Keywords: concurrent microbenchmarks, concurrent data structures, high performance simulations, PRNGs
Collection: 36th International Symposium on Distributed Computing (DISC 2022)
Issue Date: 2022
Date of publication: 17.10.2022


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