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  • Correction
  • Open Access

Correction to: cuRnet: an R package for graph traversing on GPU

  • 1,
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  • 1Email author
BMC Bioinformatics201819:456

https://doi.org/10.1186/s12859-018-2484-8

  • Published:

The original article was published in BMC Bioinformatics 2018 19:356

Correction

After publication of this supplement article [1], it was brought to our attention that reference 10 and reference 12 in the article are incorrect.

As such, please be advised that the correct versions of these references are:

Notes

Declarations

Reference 10:

Busato F, Bombieri N. BFS-4K: an efficient implementation of BFS for kepler GPU architectures. IEEE Trans Parallel Distrib Syst. 2015; 26(7):1826–38.

Reference 12:

Aldegheri S, Barnat J, Bombieri N, Busato F, Češka M. Parametric multi-step scheme for gpu-accelerated graph decomposition into strongly connected components. In: Euro-Par 2016: Parallel Processing Workshops - Euro-Par 2016 International Workshops, Grenoble, France, August 24–26, 2016, Revised Selected Papers.2016. p. 519–31.

Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

Authors’ Affiliations

(1)
Department of Computer Science, University of Verona, Strada le Grazie, 15, Verona, Italy
(2)
Institute of Oncology Research (IOR), Via Vincenzo Vela 6, Bellinzona, Switzerland

Reference

  1. Bonnici, et al. cuRnet: an R package for graph traversing on GPU. 2018;19(Suppl 10):356. https://doi.org/10.1186/s12859-018-2310-3.

Copyright

© The Author(s). 2018

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