nanoHUB.org - What's New: month: onlinepresentations
http://nanohub.org/whatsnew/
Sun, 07 Feb 2016 02:09:11 +0000HUBzero - The open source platform for scientific and educational collaborationnoen-gbCopyright 2016 nanoHUB.orgWhat's new[Illinois] Nanotechnology meets Biology in the Cancer Cell: Applications in Medicine, Drug Delivery, and Determining Drug Efficacy
http://nanohub.org/resources/23526

Dr. Mostafa El-Sayed received his B.Sc. from Ain Shams University in Cairo; and Ph.D. from Florida State University. He was Postdoctoral Fellow at Yale University, Harvard University and the California Institute of Technology. From 1961-94 he served as a faculty member in the...
http://nanohub.org/resources/23526noMostafa El-SayedThu, 04 Feb 2016 19:22:38 +0000[Illinois] A Massively Parallel Semicoarsening Multigrid for 3D Reservoir Simulation on Multi-core and Multi-GPU Architectures
http://nanohub.org/resources/23474
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...http://nanohub.org/resources/23474noAbdulrahman ManeaThu, 04 Feb 2016 19:22:38 +0000[Illinois] On the Design of a Finite Element Multigrid Solver for Mimetic Finite Difference Schemes
http://nanohub.org/resources/23476
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...http://nanohub.org/resources/23476noCarmen RodrigoThu, 04 Feb 2016 19:22:38 +0000[Illinois] Least-Squares Finite Element Method and Nested Iteration for Electromagnetic Two-Fluid Plasma Models
http://nanohub.org/resources/23478
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...http://nanohub.org/resources/23478noChristopher LeibsThu, 04 Feb 2016 19:22:38 +0000[Illinois] A Multigrid Method for the Self-Adjoint Angular Flux Form of the Radiation-Transport Equation Based on Cellwise Block Jacobi Iteration
http://nanohub.org/resources/23481
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...http://nanohub.org/resources/23481noJeffrey DensmoreThu, 04 Feb 2016 19:22:38 +0000[Illinois] Understanding the Propagation of Silent Data Corruption in Algebraic Multigrid
http://nanohub.org/resources/23483
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...http://nanohub.org/resources/23483noJon CalhounThu, 04 Feb 2016 19:22:38 +0000[Illinois] A Performance Comparison of Algebraic Multigrid Preconditioners on GPUs and MIC
http://nanohub.org/resources/23485
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...http://nanohub.org/resources/23485noKarl RuppThu, 04 Feb 2016 19:22:38 +0000[Illinois] Monolithic Multigrid Methods for Coupled Multi-Physics Problems
http://nanohub.org/resources/23487
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...http://nanohub.org/resources/23487noScott MaclachlanThu, 04 Feb 2016 19:22:38 +0000[Illinois] Application of Multigrid Techniques to Magnetic and Electromagnetic Systems
http://nanohub.org/resources/23489
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,...http://nanohub.org/resources/23489noBenjamin CowanThu, 04 Feb 2016 19:22:38 +0000[Illinois] Geometric Multigrid for MHD Simulations with Nedelec Finite Elements on Tetrahedral Grids
http://nanohub.org/resources/23491
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,...http://nanohub.org/resources/23491noChris HansenThu, 04 Feb 2016 19:22:38 +0000[Illinois] Parallel Multigrid Preconditioner Based on Automatic 3D Tetradedric Meshes
http://nanohub.org/resources/23493
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 with the efficiency of GMG lead us to the development of an Hybrid Multigrid preconditionner. From...http://nanohub.org/resources/23493noFrederic ViThu, 04 Feb 2016 19:22:38 +0000[Illinois] HPGMG: Benchmarking Computers Using Multigrid
http://nanohub.org/resources/23495
HPGMG (https://hpgmg.org) is a geometric multigrid benchmark designed to measure the performance and versatility of computers. For a benchmark to be representative of applications, good performance on the benchmark should be sufficient to ensure good performance on most important applications...http://nanohub.org/resources/23495noJed BrownThu, 04 Feb 2016 19:22:38 +0000[Illinois] A Scalable Algorithm for Inverse Medium Problems with Multiple Sources
http://nanohub.org/resources/23498
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,...http://nanohub.org/resources/23498noKeith KellyThu, 04 Feb 2016 19:22:38 +0000[Illinois] Support Graph Smoothing Techniques
http://nanohub.org/resources/23500
Many tasks in large-scale network analysis and simulation require efficient approximation of the solution to the linear system $ Lx=b$, where $ L$ is a graph Laplacian. However, due to the large size and complexity of scale-free graphs, standard iterative methods do not perform optimally. The...http://nanohub.org/resources/23500noAlyson FoxThu, 04 Feb 2016 19:22:38 +0000[Illinois] Task-Graph and Functional Programming Models: The New Paradigm
http://nanohub.org/resources/23502
The Message Passing Interface (MPI) is an example of a distributed-memory communication model that has served us well through the CISC processor era. However, because of MPI's low-level interface, which requires the user to manage raw memory buffers, and its bulk-synchronous communication...http://nanohub.org/resources/23502noBen BergenThu, 04 Feb 2016 19:22:38 +0000[Illinois] A Fast Multigrid Approach for Solving the Helmholtz Equation with a Point Source
http://nanohub.org/resources/23504
Solving the discretized Helmholtz equations with high wave numbers in large dimensions is a challenging task. However, in many scenarios, the solution of these equations is required for a point source. In this case, the problem can be be reformulated and split into two parts: one in a solution...http://nanohub.org/resources/23504noEran TreisterThu, 04 Feb 2016 19:22:38 +0000[Illinois] Compatible Relaxation Based Geometric-Algebraic Multigrid
http://nanohub.org/resources/23506
We develop compatible relaxation algorithms for smoothed aggregation-based multigrid coarsening. In the proposed method, we use the geometry of the given discrete problem on the finest level to coarsen the system together with compatible relaxation to from the sparsity structure of the...http://nanohub.org/resources/23506noFei CaoThu, 04 Feb 2016 19:22:38 +0000[Illinois] Hub Snub: Removing Vertices with High Degree from Coarse-grid Correction
http://nanohub.org/resources/23508
Network scientists often employ numerical solutions to linear systems as subroutines of data mining algorithms. Due to the ill-conditioned nature of the systems, obtaining solutions with standard iterative methods is often prohibitively costly; current research aims to automatically construct...http://nanohub.org/resources/23508noGeoffry SandersThu, 04 Feb 2016 19:22:38 +0000[Illinois] On the Preconditioning of a High-Order RDG-based All-Speed Navier-Stokes Solver
http://nanohub.org/resources/23510
We investigate the preconditioning of an all-speed Navier-Stokes solver, based on the orthogonal-basis Reconstructed Discontinuous Galerkin (RDG) space discretization, and integrated using a high-order fully-implicit time discretization method. The work is motivated by applications in Additive...http://nanohub.org/resources/23510noBrian WestonThu, 04 Feb 2016 19:22:38 +0000[Illinois] Is the Ideal Approximation Operator Always "Ideal" for a Particular C/F Splitting?
http://nanohub.org/resources/23512
Given a coarse grid, the ideal prolongation operator is defined by , where the weight matrix, , interpolates a set of fine grid variable (-points) from a set of coarse grid variable (-points), and the identity matrix, , represents the injection of -points to and from...http://nanohub.org/resources/23512noErin MolloyThu, 04 Feb 2016 19:22:38 +0000