|Title||Preconditioned Krylov solvers on GPUs|
|Publication Type||Journal Article|
|Year of Publication||2017|
|Authors||Anzt, H., M. Gates, J. Dongarra, M. Kreutzer, G. Wellein, and M. Kohler|
|Keywords||gpu, ILU, Jacobi, Krylov solvers, Preconditioning|
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’ numerical stability and time-to-solution performance. We also analyze how the use of a preconditioner impacts the choice of the fastest solver.
|Short Title||Parallel Computing|