@conference {714,
	title = {Self-Adaptive Multiprecision Preconditioners on Multicore and Manycore Architectures},
	booktitle = {VECPAR 2014},
	year = {2014},
	month = {2014-06},
	address = {Eugene, OR},
	abstract = {Based on the premise that preconditioners needed for scientific computing are not only required to be robust in the numerical sense, but also scalable for up to thousands of light-weight cores, we argue that this two-fold goal is achieved for the recently developed self-adaptive multi-elimination preconditioner. For this purpose, we revise the underlying idea and analyze the performance of implementations realized in the PARALUTION and MAGMA open-source software libraries on GPU architectures (using either CUDA or OpenCL), Intel{\textquoteright}s Many Integrated Core Architecture, and Intel{\textquoteright}s Sandy Bridge processor. The comparison with other well-established preconditioners like multi-coloured Gauss-Seidel, ILU(0) and multi-colored ILU(0), shows that the twofold goal of a numerically stable cross-platform performant algorithm is achieved.},
	author = {Hartwig Anzt and Dimitar Lukarski and Stanimire Tomov and Jack Dongarra}
}
