Fast Triangle Counting
September 16, 2023 Β· Declared Dead Β· π IEEE Conference on High Performance Extreme Computing
"No code URL or promise found in abstract"
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Authors
David A. Bader
arXiv ID
2309.09064
Category
cs.DS: Data Structures & Algorithms
Cross-listed
cs.DC
Citations
8
Venue
IEEE Conference on High Performance Extreme Computing
Last Checked
4 months ago
Abstract
Listing and counting triangles in graphs is a key algorithmic kernel for network analyses including community detection, clustering coefficients, k-trusses, and triangle centrality. We design and implement a new serial algorithm for triangle counting that performs competitively with the fastest previous approaches on both real and synthetic graphs, such as those from the Graph500 Benchmark and the MIT/Amazon/IEEE Graph Challenge. The experimental results use the recently-launched Intel Xeon Platinum 8480+ and CPU Max 9480 processors.
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