@article {989,
	title = {Fine-grained Bit-Flip Protection for Relaxation Methods},
	journal = {Journal of Computational Science},
	year = {2016},
	month = {2016-11},
	abstract = {Resilience is considered a challenging under-addressed issue that the high performance computing community (HPC) will have to face in order to produce reliable Exascale systems by the beginning of the next decade. As part of a push toward a resilient HPC ecosystem, in this paper we propose an error-resilient iterative solver for sparse linear systems based on stationary component-wise relaxation methods. Starting from a plain implementation of the Jacobi iteration, our approach introduces a low-cost component-wise technique that detects bit-flips, rejecting some component updates, and turning the initial synchronized solver into an asynchronous iteration. Our experimental study with sparse incomplete factorizations from a collection of real-world applications, and a practical GPU implementation, exposes the convergence delay incurred by the fault-tolerant implementation and its practical performance.},
	keywords = {Bit flips, Fault tolerance, High Performance Computing, iterative solvers, Jacobi method, sparse linear systems},
	doi = {https://doi.org/10.1016/j.jocs.2016.11.013},
	author = {Hartwig Anzt and Jack Dongarra and Enrique S. Quintana-Orti}
}
