Tags: NanoBio Node

Resources (61-80 of 731)

  1. [Illinois] ECE 564 Lecture 11

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

  2. [Illinois] ECE 564 Lecture 13

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

  3. [Illinois] ECE 564 Lecture 2

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

  4. LegoGen

    05 Feb 2016 | | Contributor(s):: Scott Michael Louis Slone, Chris Maffeo, AbderRahman N Sobh, Aleksei Aksimentiev

    Tool workflow for building DNA Brick structures automatically.

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

    11 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...

  6. Data-Centric Models for Multilevel Algorithms

    05 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...

  7. New FOSLS Formulation of Nonlinear Stokes Flow for Glaciers

    05 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...

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

    05 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...

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

    05 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....

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

    05 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...

  11. Seventeenth Copper Mountain Conference on Multigrid Methods

    01 Feb 2016 | | Contributor(s)::

    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...

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

    02 Feb 2016 | | 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 3D reservoirs, on a parallel architecture with multiple GPU’s. For comparison purposes, the...

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

    02 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...

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

    02 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...

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

    02 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...

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

    02 Feb 2016 | | 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 heterogeneous processing elements that operate at near-threshold-voltage to meet power constraints. The...

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

    02 Feb 2016 | | 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, problem-dependent trade-off between efficient hardware use, robustness, and convergence rate in order to...

  18. Monolithic Multigrid Methods for Coupled Multi-Physics Problems

    02 Feb 2016 | | 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 coupling between equations is strong. In this talk, we discuss the extension of Braess-Sarazin...

  19. Application of Multigrid Techniques to Magnetic and Electromagnetic Systems

    02 Feb 2016 | | 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 nonlinear materials. We describe the linear problems arising in several variations of this problem,...

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

    02 Feb 2016 | | 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 fast wave dynamics to the desired evolution of equilibrium due to transport processes is large,...