@article {anzt2017preconditioned,
	title = {Preconditioned Krylov Solvers on {GPUs}},
	journal = {Parallel Computing},
	year = {2017},
	month = {2017-06},
	abstract = {In this paper, we study the effect of enhancing GPU-accelerated Krylov solvers with preconditioners. We consider the BiCGSTAB, CGS, QMR, and IDR(s) Krylov solvers. For a large set of test matrices, we assess the impact of Jacobi and incomplete factorization preconditioning on the solvers{\textquoteright} numerical stability and time-to-solution performance. We also analyze how the use of a preconditioner impacts the choice of the fastest solver.},
	keywords = {gpu, ILU, Jacobi, Krylov solvers, Preconditioning},
	issn = {01678191},
	doi = {10.1016/j.parco.2017.05.006},
	url = {http://www.sciencedirect.com/science/article/pii/S0167819117300777},
	author = {Hartwig Anzt and Mark Gates and Jack Dongarra and Moritz Kreutzer and Gerhard Wellein and Martin Kohler}
}
