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  4. Theoretically and Practically Efficient Parallel Nucleus Decomposition (Abstract)

Theoretically and Practically Efficient Parallel Nucleus Decomposition (Abstract)

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Author(s)
Shi, Jessica
•
Dhulipala, Laxman
•
Shun, Julian
Date Issued
July 18, 2023
Publisher
ACM|Proceedings of the 2023 ACM Workshop on Highlights of Parallel Computing
Citation
Shi, Jessica, Dhulipala, Laxman and Shun, Julian. 2023. "Theoretically and Practically Efficient Parallel Nucleus Decomposition (Abstract)."
Version
Final published version
MIT Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Terms of Use
Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.
Persistent DSpace Link
https://hdl.handle.net/1721.1/152171
DOI of Published Version
https://doi.org/10.1145/3597635.3598024
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