Parallel Network Mapping Algorithms
Pages 410 - 413
Abstract
Motivated from parallel network mapping, we provide efficient query complexity and round complexity bounds for graph reconstruction using distance queries, including a bound that improves a previous sequential complexity bound. Our methods use a high-probability parametric parallelization of a graph clustering technique of Thorup and Zwick, which may be of independent interest.
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Index Terms
- Parallel Network Mapping Algorithms
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July 2021
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- SIGACT: ACM Special Interest Group on Algorithms and Computation Theory
- SIGARCH: ACM Special Interest Group on Computer Architecture
- EATCS: European Association for Theoretical Computer Science
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Association for Computing Machinery
New York, NY, United States
Publication History
Published: 06 July 2021
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Author Tags
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- Extended-abstract
Funding Sources
- National Science Foundation (NSF)
Conference
SPAA '21: 33rd ACM Symposium on Parallelism in Algorithms and Architectures
July 6 - 8, 2021
Virtual Event, USA
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Overall Acceptance Rate 447 of 1,461 submissions, 31%
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