%0 Conference Paper %B VECPAR 2014 %D 2014 %T Self-Adaptive Multiprecision Preconditioners on Multicore and Manycore Architectures %A Hartwig Anzt %A Dimitar Lukarski %A Stanimire Tomov %A Jack Dongarra %X 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’s Many Integrated Core Architecture, and Intel’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. %B VECPAR 2014 %C Eugene, OR %8 2014-06 %G eng