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Showing 1 to 3 of 3 for “"Krylov Solvers"”.

  1. Scalable non-blocking Krylov solvers for extreme-scale computing

    Krylov solvers are key kernels in many large-scale science and engineering applications for solving sparse linear systems. Extreme-scale systems have many factors that increase communication costs and cause performance variation across cores that can reduce performance at scale. Many Krylov solvers

    uiuc Repository record for Scalable non-blocking Krylov solvers for extreme-scale computing (opens in a new tab)

  2. Accelerated stationary iterative methods for the numerical solution of electromagnetic wave scattering problems

    … is to contribute to the development of iterative solvers applied to the method of moments solution of electromagnetic wave scattering problems. In recent years there has been much focus on current marching iterative methods, such as Gauss-Seidel and others. These methods attempt to march a …

    dcu Repository record for Accelerated stationary iterative methods for the numerical solution of electromagnetic wave scattering problems (opens in a new tab)

  3. Hodge Laplacians on simplicial meshes and graphs

    … evidence that algebraic multigrid linear solvers for the resulting linear systems on Erdős-Rényi random graphs and on Barabási-Albert graphs do not perform very well in comparison with iterative Krylov solvers.

    uiuc Repository record for Hodge Laplacians on simplicial meshes and graphs (opens in a new tab)