Nearly Work-Efficient Parallel DFS in Undirected Graphs

Abstract

We present the first parallel depth-first search algorithm for undirected graphs that has near-linear work and sublinear depth. Concretely, in any $n$-node $m$-edge undirected graph, our algorithm computes a DFS in $\tilde{O}(\sqrt{n})$ depth and using $\tilde{O}(m+n)$ work. All prior work either required $\Omega (n)$ depth, and thus were essentially sequential, or needed a high $poly(n)$ work and thus were far from being work-efficient.

Appears at SPAA'23