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Resources (41-60 of 1032)

  1. [Illinois] ECE 564 Lecture 11

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

    Gabriel Popescu is an Associate Professor in Electrical and Computer Engineering, University of Illinois at Urbana-Champaign. He received the B.S. and M.S. in Physics from University of...

    http://nanohub.org/resources/23983

  2. [Illinois] ECE 564 Lecture 13

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

    Gabriel Popescu is an Associate Professor in Electrical and Computer Engineering, University of Illinois at Urbana-Champaign. He received the B.S. and M.S. in Physics from University of...

    http://nanohub.org/resources/23985

  3. [Illinois] ECE 564 Lecture 2

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

    Gabriel Popescu is an Associate Professor in Electrical and Computer Engineering, University of Illinois at Urbana-Champaign. He received the B.S. and M.S. in Physics from University of...

    http://nanohub.org/resources/23943

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

    12 Feb 2016 | Online Presentations | 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...

    http://nanohub.org/resources/23591

  5. Data-Centric Models for Multilevel Algorithms

    07 Feb 2016 | Online Presentations | 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,...

    http://nanohub.org/resources/23532

  6. New FOSLS Formulation of Nonlinear Stokes Flow for Glaciers

    07 Feb 2016 | Online Presentations | 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...

    http://nanohub.org/resources/23534

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

    07 Feb 2016 | Online Presentations | 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...

    http://nanohub.org/resources/23536

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

    07 Feb 2016 | Online Presentations | 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...

    http://nanohub.org/resources/23538

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

    07 Feb 2016 | Online Presentations | 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...

    http://nanohub.org/resources/23540

  10. Seventeenth Copper Mountain Conference on Multigrid Methods

    04 Feb 2016 | Workshops

    HIGHLIGHTED TOPICS Uncertainty Quantification Optimization and Inverse Problems Data Mining, Large Graphs, and Markov Chains Nonsymmetric and Indefinite Problems Krylov...

    http://nanohub.org/resources/23473

  11. A Massively Parallel Semicoarsening Multigrid for 3D Reservoir Simulation on Multi-core and Multi-GPU Architectures

    04 Feb 2016 | Online Presentations | Contributor(s): Abdulrahman Manea

    In this work, we have designed and implemented a massively parallel version of the Semicoarsening Black Box Multigrid Solver [1], which is capable of handling highly heterogeneous and anisotropic...

    http://nanohub.org/resources/23474

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

    04 Feb 2016 | Online Presentations | 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...

    http://nanohub.org/resources/23476

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

    04 Feb 2016 | Online Presentations | 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...

    http://nanohub.org/resources/23478

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

    04 Feb 2016 | Online Presentations | 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...

    http://nanohub.org/resources/23481

  15. Understanding the Propagation of Silent Data Corruption in Algebraic Multigrid

    04 Feb 2016 | Online Presentations | Contributor(s): Jon Calhoun

    Sparse linear solvers from a fundamental kernel in high performance computing (HPC). Exascale systems are expected to be more complex than systems of today being composed of thousands of...

    http://nanohub.org/resources/23483

  16. A Performance Comparison of Algebraic Multigrid Preconditioners on GPUs and MIC

    04 Feb 2016 | Online Presentations | Contributor(s): Karl Rupp

    Algebraic multigrid (AMG) preconditioners for accelerators such as graphics processing units (GPUs) and Intel's many-integrated core (MIC) architecture typically require a careful,...

    http://nanohub.org/resources/23485

  17. Monolithic Multigrid Methods for Coupled Multi-Physics Problems

    04 Feb 2016 | Online Presentations | Contributor(s): Scott Maclachlan

    While block-diagonal and approximate block-factorization preconditioners are often considered for coupled problems, monolithic approaches can offer improved performance, particularly when the...

    http://nanohub.org/resources/23487

  18. Application of Multigrid Techniques to Magnetic and Electromagnetic Systems

    04 Feb 2016 | Online Presentations | Contributor(s): Benjamin Cowan

    We discuss the use of multigrid techniques for several novel systems related to electromagnetics. One of these is the magnetostatic problem, in which systems can involve highly anisotropic and...

    http://nanohub.org/resources/23489

  19. Geometric Multigrid for MHD Simulations with Nedelec Finite Elements on Tetrahedral Grids

    04 Feb 2016 | Online Presentations | Contributor(s): Chris Hansen

    The Magneto-HydroDynamic (MHD) model is used extensively to simulate macroscopic plasma dynamics in Magnetic Confinement Fusion (MCF) devices. In these simulations, the span of time scales from...

    http://nanohub.org/resources/23491

  20. Parallel Multigrid Preconditioner Based on Automatic 3D Tetradedric Meshes

    04 Feb 2016 | Online Presentations | Contributor(s): Frederic Vi

    Multigrid methods are efficient for solving large sparse linear systems. Geometric (GMG) and Algebraic Multigrid (AMG) have both their own benefits and limitations. Combining the simplicity of AMG...

    http://nanohub.org/resources/23493