Stochastic subspace correction methods and fault tolerance
Numerical Analysis
2018-07-31 v1
Abstract
We present convergence results in expectation for stochastic subspace correction schemes and their accelerated versions to solve symmetric positive-definite variational problems, and discuss their potential for achieving fault tolerance in an unreliable compute network. We employ the standard overlapping domain decomposition algorithm for PDE discretizations to discuss the latter aspect.
Cite
@article{arxiv.1807.11315,
title = {Stochastic subspace correction methods and fault tolerance},
author = {Michael Griebel and Peter Oswald},
journal= {arXiv preprint arXiv:1807.11315},
year = {2018}
}
Comments
33 pages, 6 figures