
Quantifying Uncertainties in Physical Models
28 Aug 2017  Online Presentations  Contributor(s): Ilias Bilionis
Increasing modeling detail is not necessarily correlated with increasing predictive ability. Setting modeling and numerical discretization errors aside, the more detailed a model gets, the larger...
http://nanohub.org/resources/27200

A Distributed Algorithm for Computing a Common Fixed Point of a Family of Paracontractions
21 Jun 2017  Online Presentations  Contributor(s): A. Stephen Morse
In this talk a distributed algorithm is described for finding a common fixed point of a family of m paracontractions assuming that such a common fixed point exists. The common fixed point is...
http://nanohub.org/resources/26628

ECE 695NS Lecture 3: Practical Assessment of Code Performance
25 Jan 2017  Online Presentations  Contributor(s): Peter Bermel
Outline:
Time Scaling
Examples
General performance strategies
Computer architectures
Measuring code speed
Reduce strength
Minimize array writes
Profiling
http://nanohub.org/resources/25677

ECE 695NS Lecture 2: Computability and NPhardness
13 Jan 2017  Online Presentations  Contributor(s): Peter Bermel
Outline:
Overview
Definitions
Computing Machines
ChurchTuring Thesis
Polynomial Time (Class P)
Class NP
Nondeterministic Turing machines
Reducibility
CookLevin...
http://nanohub.org/resources/25676

Jupyter Notebooks for Scientific Programming
06 Jan 2017  Online Presentations  Contributor(s): Martin Hunt
An overview of using Jupyter Notebooks for conveying scientific information.
http://nanohub.org/resources/25550

Machine learned approximations to Density Functional Theory Hamiltonians  Towards HighThroughput Screening of Electronic Structure and Transport in Materials
13 Dec 2016  Online Presentations  Contributor(s): Ganesh Krishna Hegde
We present results from our recent work on direct machine learning of DFT Hamiltonians. We show that approximating DFT Hamiltonians accurately by direct learning is feasible and compare them to...
http://nanohub.org/resources/25379

High Accuracy Atomic Force Microscope with SelfOptimizing Scan Control
19 Sep 2016  Online Presentations  Contributor(s): Ryan (Youngkook) Yoo
Atomic force microscope (AFM) is a very useful instrument in characterizing nanoscale features, However, the original AFM design, based on piezotube scanner, had slow response and nonorthogonal...
http://nanohub.org/resources/24927

DataCentric 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

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

A Scalable Algorithm for Inverse Medium Problems with Multiple Sources
04 Feb 2016  Online Presentations  Contributor(s): Keith Kelly
We consider the problem of acoustic scattering as described by the freespace, timeharmonic scalar wave equation given by (0.1) along with radiation boundary conditions. Here, is a...
http://nanohub.org/resources/23498

ECE 595E Lecture 36: MEEP Tutorial II
30 Apr 2013  Online Presentations  Contributor(s): Peter Bermel
Outline:
Recap from Monday
Examples
Multimode ring resonators
Isolating individual resonances
Kerr nonlinearities
Quantifying thirdharmonic generation
http://nanohub.org/resources/17558

ECE 595E Lecture 35: MEEP Tutorial I
18 Apr 2013  Online Presentations  Contributor(s): Peter Bermel
Outline:
MEEP Interfaces
MEEP Classes
Tutorial examples:
Waveguide
Bent waveguide
http://nanohub.org/resources/17557

Dataadaptive Filtering and the State of the Art in Image Processing
15 Apr 2013  Online Presentations  Contributor(s): Peyman Milanfar
In this talk, I will present a practical and unified framework for understanding some common underpinnings of these methods. This leads to new insights and a broad understanding of how these...
http://nanohub.org/resources/17535

The Pioneers of Quantum Computing
19 Nov 2010  Online Presentations  Contributor(s): David P. Di Vincenzo
This talk profiles the persons whose insights and visions created the subject of quantum information science. Some famous, some not, they all thought deeply about the puzzles and contradictions...
http://nanohub.org/resources/8067

Nanoelectronic Modeling Lecture 29: Introduction to the NEMO3D Tool
04 Aug 2010  Online Presentations  Contributor(s): Gerhard Klimeck
This presentation provides a very high level software overview of NEMO3D. The items discussed are:
Modeling Agenda and Motivation
TightBinding Motivation and basic formula...
http://nanohub.org/resources/8599

Nanoelectronic Modeling Lecture 28: Introduction to Quantum Dots and Modeling Needs/Requirements
20 Jul 2010  Online Presentations  Contributor(s): Gerhard Klimeck
This presentation provides a very high level software overview of NEMO1D.
Learning Objectives:
This lecture provides a very high level overview of quantum dots. The main issues and...
http://nanohub.org/resources/8598

Nanoelectronic Modeling Lecture 26: NEMO1D 
09 Mar 2010  Online Presentations  Contributor(s): Gerhard Klimeck
NEMO1D demonstrated the first industrial strength implementation of NEGF into a simulator that quantitatively simulated resonant tunneling diodes. The development of efficient algorithms that...
http://nanohub.org/resources/8596

Nanoelectronic Modeling Lecture 27: NEMO1D 
09 Mar 2010  Online Presentations  Contributor(s): Gerhard Klimeck
This presentation provides a very high level software overview of NEMO1D. The items discussed are:
User requirements
Graphical user interface
Software structure
Program developer...
http://nanohub.org/resources/8597

Nanoelectronic Modeling Lecture 21: Recursive Green Function Algorithm
07 Feb 2010  Online Presentations  Contributor(s): Gerhard Klimeck
The Recursive Green Function (RGF) algorithms is the primary workhorse for the numerical solution of NEGF equations in quasi1D systems. It is particularly efficient in cases where the device is...
http://nanohub.org/resources/8388

Illinois ECE 498AL: Programming Massively Parallel Processors, Lecture 15: Kernel and Algorithm Patterns for CUDA
30 Sep 2009  Online Presentations  Contributor(s): WenMei W Hwu
Kernel and Algorithm Patterns for CUDA
Topics:
Reductions and Memory Patterns
Reduction Patterns in CUDA
Mapping Data into CUDA's Memories
Input/Output Convolution
Generic Algorithm...
http://nanohub.org/resources/7442