
Hamed Abdy
http://nanohub.org/members/50166

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...

Lecture 6: Neighbor Lists
05 Jan 2010   Contributor(s):: Ashlie Martini
Topics:Saving simulation timeVerlet listsCell lists

Lecture 3: Integration Algorithms
05 Jan 2010   Contributor(s):: Ashlie Martini
Topics:General guidelinesVerlet algorithmPredictorcorrector methods

Short Course on Molecular Dynamics Simulation
13 Oct 2009   Contributor(s):: Ashlie Martini
This set of ten presentations accompanied a graduate level course on Molecular Dynamics simulation. The specific objective of the course (and the presentations) is to provide:1. Awareness of the opportunities and limitations of Molecular Dynamics as a tool for scientific and engineering...

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?...

Illinois ECE 498AL: Programming Massively Parallel Processors, Lecture 13: Reductions and their Implementation
15 Sep 2009   Contributor(s):: WenMei W Hwu
Structuring Parallel AlgorithmsTopics: Parallel Reductions Parallel Prefix Sum Relevance of Scan Application of Scan Scan on the CPU First attempt Parallel Scan Algorithm Work efficiency considerations Improving Efficiency Use Padding to reduce conflicts Global Synchronization in CUDAThese...

Illinois ECE 498AL: Programming Massively Parallel Processors, Lecture 12: Structuring Parallel Algorithms
15 Sep 2009   Contributor(s):: WenMei W Hwu
Structuring Parallel AlgorithmsTopics: Key Parallel Programming Steps Algorithms Choosing Algorithm Structure Mapping a Divide and Conquer algorithm Tiled Algorithms Increased work per thread Double Buffering Loop Fusion and Memory Privatization Pipeline or "Spatial Computing Model" These...

Experiment vs. Modelling: What's the problem?
10 Aug 2009   Contributor(s):: William L. Barnes
Progress in plasmonics has been greatly assisted by developments in experimental techniques and in numerical modelling. This talk will look at some of the difficulties that emerge when comparisons are made between experiment and theory. Through the use of four examples I will illustrate what...

Quantitative, Kinetic Models of Cellular Circuits
04 Apr 2009   Contributor(s):: Michael R. Brent
Living cells contain complex, analog circuits that regulate the rate at which each gene produces its product. The kinetic properties of these circuits enable cells to respond to changes in their environments and thus to survive, reproduce, and compete. For decades, molecular biologists have been...

The Multicore Era: Crisis or (and?) Opportunity?
27 Mar 2009   Contributor(s):: Mithuna Thottethodi
This talk will provide a brief overview of how we got to the multicore era, the implications and challenges for hardware/software developers and users, and some informed speculation on where the trends may be headed.

Experiences with nonintrusive polynomial Chaos and stochastic collocation methods for uncertainty analysis and design
13 Mar 2009   Contributor(s):: Michael S. Eldred
Non—intrusive polynomial chaos expansion (PCE) and stochastic collocation (SC) methods are attractive techniques for uncertainty quantification due to their abilities to produce functional representations of stochastic variability and to achieve exponential convergence rates in statistics of...

Nanoparticle and Colloidal Simulations with Molecular Dynamics
05 Dec 2008   Contributor(s):: Steve Plimpton
Modeling nanoparticle or colloidal systems in a molecular dynamics (MD) code requires coarsegraining on several levels to achieve meaningful simulation times for study of rheological and other manufacturing properties. These include treating colloids as single particles, moving from explicit to...

OpenMP Tutorial
25 Nov 2008   Contributor(s):: SeungJai Min
This tutorial consists of three parts. First, we will discuss abouthow OpenMP is typically used and explain OpenMP programming model. Second, we will describe important OpenMP constructs and data enviroments. Finally, we will show a simple example to illustrate how OpenMP APIs are used to...

Purdue School on High Performance and Parallel Computing
24 Nov 2008   Contributor(s):: Alejandro Strachan, Faisal Saied
The goal of this workshop is to provide training in the area of high performance scientific computing for graduate students and researchers interested in scientific computing. The School will address current hardware and software technologies and trends for parallel computing and their...