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Computer Science > Data Structures and Algorithms

Title: Improved Massively Parallel Triangle Counting in $O(1)$ Rounds

Abstract: In this short note, we give a novel algorithm for $O(1)$ round triangle counting in bounded arboricity graphs. Counting triangles in $O(1)$ rounds (exactly) is listed as one of the interesting remaining open problems in the recent survey of Im et al. [IKLMV23]. The previous paper of Biswas et al. [BELMR20], which achieved the best bounds under this setting, used $O(\log \log n)$ rounds in sublinear space per machine and $O(m\alpha)$ total space where $\alpha$ is the arboricity of the graph and $n$ and $m$ are the number of vertices and edges in the graph, respectively. Our new algorithm is very simple, achieves the optimal $O(1)$ rounds without increasing the space per machine and the total space, and has the potential of being easily implementable in practice.
Comments: To appear in PODC 2024
Subjects: Data Structures and Algorithms (cs.DS); Distributed, Parallel, and Cluster Computing (cs.DC)
Cite as: arXiv:2405.00262 [cs.DS]
  (or arXiv:2405.00262v1 [cs.DS] for this version)

Submission history

From: Quanquan C. Liu [view email]
[v1] Wed, 1 May 2024 00:40:41 GMT (1002kb,D)

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