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 coupling between equations is strong. In this talk, we discuss the extension of Braess-Sarazin...
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, problem-dependent trade-off between efficient hardware use, robustness, and convergence rate in order to...
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 heterogeneous processing elements that operate at near-threshold-voltage to meet power constraints. The...
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 flux in neighboring cells held fixed. Each step of the iteration then involves the inversion of a...
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 . The two-fluid plasma (TFP) model is an ideal approximation to the kinetic Jacobian. The TFP...
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 operators. With this purpose, modified Nédélec and Raviart-Thomas finite element...
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 , which is capable of handling highly heterogeneous and anisotropic 3D reservoirs, on a parallel architecture with multiple GPU’s. For comparison purposes, the...
[Illinois] Nanotechnology meets Biology in the Cancer Cell: Applications in Medicine, Drug Delivery, and Determining Drug Efficacy
04 Feb 2016 | Online Presentations | Contributor(s): Mostafa El-Sayed
Seventeenth Copper Mountain Conference on Multigrid Methods
04 Feb 2016 | Workshops
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...
[Illinois] Bionanotechnology Seminar Series
29 Jan 2016 | Series
This series is organized by PhD students who are appointed as Trainees in the NIH/NCI Midwest Cancer Nanotechnology Training Center (M-CNTC) and in the NSF IGERT in Cellular and Molecular Mechanics and BioNanotechnology (CMMB IGERT). These traineeships are designed to train the next generation...
[Illinois] Role for Stiffness in Vascular Fate
29 Jan 2016 | Online Presentations | Contributor(s): Lian Wong
Stem cells, including embryonic stem cells (ESC) and induced pluripotent stem cells, have been explored as tools for studying development, as well as, potential sources for a large number of therapies in regenerative medicine. Traditionally, ESC are cultured on TC-plastic, however; it has been...
[Illinois] Cadherin-Modulated Neural Differentiation of Stem Cells for Neuromuscular Junction Engineering
29 Jan 2016 | Online Presentations | Contributor(s): Ellen Qin
Recently, efforts are increasingly made to engineer NMJ in vitro for both fundamental and applied bioscience studies. Certain success was made to modulate neural differentiation of stem cells using soluble factors and cell adhesion matrix properties. However, these studies were often plagued by...
[Illinois] Manipulating Substrate Topography for Enhanced Myogenic Differentiation of Primary Myoblasts and Neuromuscular Junction Formation
29 Jan 2016 | Online Presentations | Contributor(s): Eunkyung Ko
Myogenic commitment of stem cells and primary myoblasts has drawn attention for developing treatments for skeletal muscle diseases. Biophysical cues as well as biochemical cues are known to influence the cellular mechanism of the myogenic differentiation event. Recent studies have revealed that...
[Illinois] Using Photonic Crystals to Enhance SERS Signals for Early Detection of Prostate Cancer
29 Jan 2016 | Online Presentations | Contributor(s): Caitlin Race
Prostate cancer is the second most common cancer for men, and the second leading cause of death due to cancer in men. Currently, the most common screening method aims to detect high levels of prostate-specific antigen (PSA) in blood. Our research has shown the potential for both better prostate...
[Illinois] Signal Processing at Light Speed: Ultrashort Optical Pulse Generation with Arbitrary Waveforms
29 Jan 2016 | Online Presentations | Contributor(s): Claire Mcghee
We aim to further improve early detection of cancer biomarkers, including metal ion and small molecules, using functional DNA as the selective component for photonic crystal surface enhanced Raman scattering (PC-SERS) based detection. It is known that gold nanoparticles (AuNPs) display SERS...
[Illinois] Dimeric Trigger Responsive Drug Conjugate for High Loading Nanoencapsulates
26 Jan 2016 | Online Presentations | Contributor(s): kaimin Cai
Polymeric micelle is one of the most widely used drug delivery nanomedicine platforms; however, micelle drug delivery systems usually have very low drug loading and poorly defined composition, which greatly limited its further clinical translation. In the course of developing trigger responsive...
[Illinois] Synthetic Optical Holography
26 Jan 2016 | Online Presentations | Contributor(s): Brad Deutsch
[Illinois] Stretch Induced Hyperexcitability of Mice Callosal Pathway
26 Jan 2016 | Online Presentations | Contributor(s): Anthony Fan
Memory and learning are thought to result from changes in synaptic strength. Previous studies on synaptic physiology in brain slices have traditionally been focused on biochemical processes. Here, we demonstrate with experiments on mouse brain slices that central nervous system plasticity is...
Numerical Methods for Partial Differential Equations
25 Jan 2016 | Online Presentations | Contributor(s): Sandip Mazumder
A Youtube channel that presents numerous high-quality lectures on methods for solving Partial Differential Equations (PDEs). Topics include (1) Finite Difference Method: Cartesian and Curvilinear Mesh (2) Finite Volume Method: Cartesian, Curvilinear and Unstructured Mesh (3) Iterative solvers:...
Flexible Transition Metal Dichalcogenide Field-Effect Transistor (TMDFET) HSPICE Model
08 Feb 2016 | Downloads | Contributor(s): Morteza Gholipour, Ying-Yu Chen, Deming Chen
SPICE model of flexible transition metal dichalcogenide field-effect transistors (TMDFETs) for different types of materials (MoS2, MoSe2, MoTe2, WS2, WSe2), considering effects when scaling the transistor size down to the 16-nm technology node. This model can be used for circuit-level simulations.