Parallel Complexity of Depth-First-Search and Maximal path in restricted graph classes

June 17, 2025 Β· Declared Dead Β· πŸ› Foundations of Software Technology and Theoretical Computer Science

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Authors Archit Chauhan, Samir Datta, M. Praveen arXiv ID 2506.14974 Category cs.DS: Data Structures & Algorithms Cross-listed cs.CC Citations 0 Venue Foundations of Software Technology and Theoretical Computer Science Last Checked 5 months ago
Abstract
Constructing a Depth First Search (DFS) tree is a fundamental graph problem, whose parallel complexity is still not settled. Reif showed parallel intractability of lex-first DFS. In contrast, randomized parallel algorithms (and more recently, deterministic quasipolynomial parallel algorithms) are known for constructing a DFS tree in general (di)graphs. However a deterministic parallel algorithm for DFS in general graphs remains an elusive goal. Working towards this, a series of works gave deterministic NC algorithms for DFS in planar graphs and digraphs. We further extend these results to more general graph classes, by providing NC algorithms for (di)graphs of bounded genus, and for undirected H-minor-free graphs where H is a fixed graph with at most one crossing. For the case of (di)graphs of bounded tree-width, we further improve the complexity to a Logspace bound. Constructing a maximal path is a simpler problem (that reduces to DFS) for which no deterministic parallel bounds are known for general graphs. For planar graphs a bound of O(log n) parallel time on a CREW PRAM (thus in NC2) is known. We improve this bound to Logspace.
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