Resources (61-80 of 1074)

1. [Illinois] ECE 564 Lecture 6

   11 Apr 2016 | | Contributor(s):: Gabriel Popescu

2. [Illinois] ECE 564 Lecture 7

   11 Apr 2016 | | Contributor(s):: Gabriel Popescu

3. [Illinois] ECE 564 Lecture 8

   11 Apr 2016 | | Contributor(s):: Gabriel Popescu

4. [Illinois] ECE 564 Lecture 9

   11 Apr 2016 | | Contributor(s):: Gabriel Popescu

5. [Illinois] ECE 564 Lecture 10

   11 Apr 2016 | | Contributor(s):: Gabriel Popescu

6. [Illinois] ECE 564 Lecture 11

   11 Apr 2016 | | Contributor(s):: Gabriel Popescu

7. [Illinois] ECE 564 Lecture 13

   11 Apr 2016 | | Contributor(s):: Gabriel Popescu

8. [Illinois] ECE 564 Lecture 2

   05 Apr 2016 | | Contributor(s):: Gabriel Popescu

9. [Illinois] Engineering the Mode Coupling in Microrings for Laser and Sensor Applications

   12 Feb 2016 | | Contributor(s):: Lynford Goddard

   The integrated microring Bragg reflector forms the basis of a new family of compact reflective photonic devices. The buildup of field strength in the high quality factor ring resonator configuration yields multiple reflection encounters with the same set of gratings. This enables high...

10. Data-Centric Models for Multilevel Algorithms

    07 Feb 2016 | | Contributor(s):: Samuel Guiterrez

    Today, computational scientists must contend with a diverse set of supercomputer architectures that are capable of exposing unprecedented levels of parallelism and complexity. Effectively placing, moving, and operating on data residing in complex distributed memory hierarchies is quickly becoming...

11. New FOSLS Formulation of Nonlinear Stokes Flow for Glaciers

    07 Feb 2016 | | Contributor(s):: Jeffrey Allen

    This talk describes two First-order System Least-squares (FOSLS) formulations of the nonlinear Stokes flow used to model glaciers and ice sheets. The first is a Stress formulation and the second a Stress-Vorticity formulation. Both use fluidity, which is the reciprocal of viscosity and avoid the...

12. Non-Blocking Conjugate Gradient Methods for Extreme Scale Computing

    07 Feb 2016 | | Contributor(s):: Paul Eller

    Many scientific and engineering applications use Krylov subspace methods to solve large systems of linear equations. For extreme scale parallel computing systems, the dot products in these methods (implemented using allreduce operations in MPI) can limit performance because they are a...

13. Preconditioning for Divergence-Conforming Discretizations of the Stokes Equations

    07 Feb 2016 | | Contributor(s):: Thomas Benson

    Recent years have seen renewed interest in the numerical solution of the Stokes Equations. Of particular interest is the use of inf-sup stable pairs of finite elements for which weak enforcement of the incompressibility condition implies strong enforcement as well, such as with BDMelements....

14. Range Decomposition: A Low Communication Algorithm for Solving PDEs on Massively Parallel Machines

    07 Feb 2016 | | Contributor(s):: Tom Manteuffel

    The Range Decomposition (RD) algorithm uses nested iteration and adaptive mesh refinement locally before performing a global communication step. Only several such steps are observed to be necessary before reaching a solution within a small multiple of discretization error. The target application...

15. A Scalable Algorithm for Inverse Medium Problems with Multiple Sources

    04 Feb 2016 | | Contributor(s):: Keith Kelly

    We consider the problem of acoustic scattering as described by the free-space, time-harmonic scalar wave equation given by   (0.1)   along with radiation boundary conditions. Here, is a point in , is the source term, and is the wavenumber. Our formulation is based on potential theory....

16. Reducing Communication Costs for Sparse Matrix Multiplication within Algebraic Multigrid

    04 Feb 2016 | | Contributor(s):: Grey Ballard

    We consider the sequence of sparse matrix-matrix multiplications performed during the setup phase of algebraic multigrid. In particular, we show that the most commonly used parallel algorithm is often not the most communication-efficient one for all of the matrix multiplications involved. By...

17. Seventeenth Copper Mountain Conference on Multigrid Methods

    04 Feb 2016 |

    HIGHLIGHTED TOPICSUncertainty QuantificationOptimization and Inverse ProblemsData Mining, Large Graphs, and Markov ChainsNonsymmetric and Indefinite ProblemsKrylov AcceleratorsHybrid Direct-Iterative Linear SolversParallel Multigrid on Multicore Systems and Heterogeneous ArchitecturesTime...

18. On the Design of a Finite Element Multigrid Solver for Mimetic Finite Difference Schemes

    04 Feb 2016 | | Contributor(s):: Carmen Rodrigo

    The focus of this work is to study the relation between mimetic finite difference schemes on triangular grids and some finite element methods for two model problems based on curl-rot and grad-div operators. With this purpose, modified Nédélec and Raviart-Thomas finite element...

19. Least-Squares Finite Element Method and Nested Iteration for Electromagnetic Two-Fluid Plasma Models

    04 Feb 2016 | | Contributor(s):: Christopher Leibs

    Efforts are currently being directed towards a fully implicit, electromagnetic, JFNK-based solver, motivating the necessity of developing a fluid-based, electromagnetic, preconditioning strategy [1]. The two-fluid plasma (TFP) model is an ideal approximation to the kinetic Jacobian. The TFP model...

20. A Multigrid Method for the Self-Adjoint Angular Flux Form of the Radiation-Transport Equation Based on Cellwise Block Jacobi Iteration

    04 Feb 2016 | | Contributor(s):: Jeffrey Densmore

    Cellwise block Jacobi iteration is a technique for radiation-transport calculations in which the angular flux for all directions is solved for simultaneously within a spatial cell with the angular flux in neighboring cells held fixed. Each step of the iteration then involves the inversion of a...