Theoretically Efficient Parallel Graph Algorithms Can Be Fast and Scalable

Author:

Dhulipala Laxman1,Blelloch Guy E.1,Shun Julian2

Affiliation:

1. Carnegie Mellon University, Pittsburgh, PA, USA

2. MIT CSAIL, Boston, MA, USA

Funder

NSF

Publisher

ACM

Reference91 articles.

1. Parallel depth-first search in general directed graphs

2. A fast and simple randomized parallel algorithm for the maximal independent set problem

3. R. Anderson and E. W. Mayr. A $mathsfP$-complete problem and approximations to it. Technical report 1984. R. Anderson and E. W. Mayr. A $mathsfP$-complete problem and approximations to it. Technical report 1984.

4. Fast shared-memory algorithms for computing the minimum spanning forest of sparse graphs

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