
Quantifying Uncertainties in Physical Models
28 Aug 2017   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 the number of parameters required to accurately specify its initial/boundary conditions,...

A Distributed Algorithm for Computing a Common Fixed Point of a Family of Paracontractions
21 Jun 2017   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 simultaneously computed by m agents assuming each agent knows only paracontraction, the current estimates...

ECE 695NS Lecture 3: Practical Assessment of Code Performance
25 Jan 2017   Contributor(s):: Peter Bermel
Outline:Time ScalingExamplesGeneral performance strategiesComputer architecturesMeasuring code speedReduce strengthMinimize array writesProfiling

ECE 695NS Lecture 2: Computability and NPhardness
13 Jan 2017   Contributor(s):: Peter Bermel
Outline:OverviewDefinitionsComputing MachinesChurchTuring ThesisPolynomial Time (Class P)Class NPNondeterministic Turing machinesReducibilityCookLevin theoremCoping with NP Hardness

Jupyter Notebooks for Scientific Programming
06 Jan 2017   Contributor(s):: Martin Hunt
An overview of using Jupyter Notebooks for conveying scientific information.

Machine learned approximations to Density Functional Theory Hamiltonians  Towards HighThroughput Screening of Electronic Structure and Transport in Materials
13 Dec 2016   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 existing semiempirical approaches to the problem. The technique we have proposed requires little...

High Accuracy Atomic Force Microscope with SelfOptimizing Scan Control
19 Sep 2016   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 behavior, inadequate to address the metrology needs of industrial applications: accuracy,...

DataCentric Models for Multilevel Algorithms
07 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...

Range Decomposition: A Low Communication Algorithm for Solving PDEs on Massively Parallel Machines
07 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...

A Scalable Algorithm for Inverse Medium Problems with Multiple Sources
04 Feb 2016   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 point in , is the source term, and is the wavenumber. Our formulation is based on potential theory....

ECE 595E Lecture 36: MEEP Tutorial II
30 Apr 2013   Contributor(s):: Peter Bermel
Outline:Recap from MondayExamplesMultimode ring resonatorsIsolating individual resonancesKerr nonlinearitiesQuantifying thirdharmonic generation

ECE 595E Lecture 35: MEEP Tutorial I
18 Apr 2013   Contributor(s):: Peter Bermel
Outline:MEEP InterfacesMEEP ClassesTutorial examples:WaveguideBent waveguide

Dataadaptive Filtering and the State of the Art in Image Processing
15 Apr 2013   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 diverse methods interrelate. I will also discuss the statistical performance of the resulting algorithms,...

The Pioneers of Quantum Computing
19 Nov 2010   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 that were apparent to the founders of quantum theory. After many years of germination, the confluence...

Nanoelectronic Modeling Lecture 29: Introduction to the NEMO3D Tool
04 Aug 2010   Contributor(s):: Gerhard Klimeck
This presentation provides a very high level software overview of NEMO3D. The items discussed are:Modeling Agenda and MotivationTightBinding Motivation and basic formula expressionsTight binding representation of strainSoftware structureNEMO3D algorithm flow NEMO3D parallelization scheme –...

Nanoelectronic Modeling Lecture 28: Introduction to Quantum Dots and Modeling Needs/Requirements
20 Jul 2010   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 questions that are addressed are:Length scale of quantum dotsDefinition of a quantum dotQuantum dot examples and...

Nanoelectronic Modeling Lecture 26: NEMO1D 
09 Mar 2010   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 simulate scattering from polar optical phonons, acoustic phonons, alloy disorder, and interface...

Nanoelectronic Modeling Lecture 27: NEMO1D 
09 Mar 2010   Contributor(s):: Gerhard Klimeck
This presentation provides a very high level software overview of NEMO1D. The items discussed are:User requirementsGraphical user interfaceSoftware structureProgram developer requirementsDynamic I/O design for batch and GUIResonance finding algorithmInhomogeneous energy meshingInformation flow,...

Nanoelectronic Modeling Lecture 21: Recursive Green Function Algorithm
07 Feb 2010   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 partitioned into reservoirs which may be characterized by a nonHermitian Hamiltonian and a central...

Illinois ECE 498AL: Programming Massively Parallel Processors, Lecture 15: Kernel and Algorithm Patterns for CUDA
30 Sep 2009   Contributor(s):: WenMei W Hwu
Kernel and Algorithm Patterns for CUDATopics: Reductions and Memory Patterns Reduction Patterns in CUDA Mapping Data into CUDA's Memories Input/Output Convolution Generic Algorithm Description What could each thread be assigned? Thread Assignment Tradeoffs What memory Space does the Data use?...