A Fast Distributed Solver for Symmetric Diagonally Dominant Linear Equations
Abstract
In this paper, we propose a fast distributed solver for linear equations given by symmetric diagonally dominant MMatrices. Our approach is based on a distributed implementation of the parallel solver of Spielman and Peng by considering a specific approximated inverse chain which can be computed efficiently in a distributed fashion. Representing the system of equations by a graph $\mathbb{G}$, the proposed distributed algorithm is capable of attaining $\epsilon$close solutions (for arbitrary $\epsilon$) in time proportional to $n^{3}$ (number of nodes in $\mathbb{G}$), ${\alpha}$ (upper bound on the size of the RHop neighborhood), and $\frac{{W}_{max}}{{W}_{min}}$ (maximum and minimum weight of edges in $\mathbb{G}$).
 Publication:

arXiv eprints
 Pub Date:
 February 2015
 DOI:
 10.48550/arXiv.1502.03158
 arXiv:
 arXiv:1502.03158
 Bibcode:
 2015arXiv150203158T
 Keywords:

 Computer Science  Distributed;
 Parallel;
 and Cluster Computing