# Graph Sparsification for Derandomizing Massively Parallel Computation with Low Space

@article{Czumaj2020GraphSF,
title={Graph Sparsification for Derandomizing Massively Parallel Computation with Low Space},
author={Artur Czumaj and Peter Davies and Merav Parter},
journal={Proceedings of the 32nd ACM Symposium on Parallelism in Algorithms and Architectures},
year={2020}
}
• Published 11 December 2019
• Computer Science
• Proceedings of the 32nd ACM Symposium on Parallelism in Algorithms and Architectures
Massively Parallel Computation (MPC) is an emerging model which distills core aspects of distributed and parallel computation. It was developed as a tool to solve (typically graph) problems in systems where input is distributed over many machines with limited space. Recent work has focused on the regime in which machines have sublinear (in n, number of nodes in the input graph) space, with randomized algorithms presented for the fundamental problems of Maximal Matching and Maximal Independent…

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