@article {15702,
	title = {A Krylov multisplitting algorithm for solving linear systems of equations},
	journal = {Linear Algebra and its Applications},
	volume = {194},
	year = {1993},
	month = {1993/11/15/},
	pages = {9 - 29},
	abstract = {We consider the practical implementation of Krylov subspace methods (conjugate gradients, Gmres, etc.) for parallel computers in the case where the preconditioning matrix arises from a multisplitting. We show that the algorithm can be efficiently implemented by dividing the work into tasks that generate search directions and a single task that minimizes over the resulting subspace. Each task is assigned to a subset of processors. It is not necessary for the minimization task to send frequent information to the direction generating tasks, and this leads to high utilization with a minimum of synchronization. We study the convergence properties of various forms of the algorithm and present results of numerical examples on a sequential computer.},
	isbn = {0024-3795},
	doi = {10.1016/0024-3795(93)90110-A},
	url = {http://www.sciencedirect.com/science/article/pii/002437959390110A},
	author = {Huang,Chiou-Ming and O{\textquoteright}Leary, Dianne P.}
}
