A Deterministic Work-Depth Tradeoff for Strongly Connected Components

In this paper, we show the first deterministic parallel algorithm for computing the strongly connected components (SCCs) of a directed graph beyond the full transitive closure computation. For any parameter t ϵ [1, n], the algorithm can identify the SCCs within Õ(nt2 + m) work and Õ(n/t) depth. This matches (up to polylogarithmic factors) the state-of-the-art deterministic tradeoff for st-reachability and solves an open problem of Spencer [J. ACM '97].

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Published
2025-07-16
DOI
https://doi.org/10.1145/3694906.3743350
Primary Topic
Manufacturing Process and Optimization
Type
article
Field-Weighted Citation Impact
0.00

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article

A Deterministic Work-Depth Tradeoff for Strongly Connected Components

Adam Karczmarz, B. Lewandowski
Manufacturing Process and Optimization
article

A Deterministic Work-Depth Tradeoff for Strongly Connected Components

Adam Karczmarz, B. Lewandowski
article en

Abstract

In this paper, we show the first deterministic parallel algorithm for computing the strongly connected components (SCCs) of a directed graph beyond the full transitive closure computation. For any parameter t ϵ [1, n], the algorithm can identify the SCCs within Õ(nt2 + m) work and Õ(n/t) depth. This matches (up to polylogarithmic factors) the state-of-the-art deterministic tradeoff for st-reachability and solves an open problem of Spencer [J. ACM '97].

Warsaw University of Technology (PL), University of Warsaw (PL)
Narodowe Centrum Badań i Rozwoju
Decent work and economic growth
Openalex Percentile: Top 75%
Manufacturing Process and Optimization
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