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Tags: Illinois

Resources (741-760 of 829)

  1. Illinois ECE 498AL: Programming Massively Parallel Processors, Lecture 2: The CUDA Programming Model

    14 Aug 2009 | Online Presentations | Contributor(s): Wen-Mei W Hwu

    CUDA Programming Model Topics: What is GPGPU? CUDA An Example of Physical Reality Behind CUDA Parallel computing on a GPU CUDA - C With no shader limitations CUDA Devices and...

    http://nanohub.org/resources/7206

  2. Illinois ECE 498AL: Programming Massively Parallel Processors, Lecture 1: Introduction

    14 Aug 2009 | Online Presentations | Contributor(s): Wen-Mei W Hwu

    Programming Massively Parallel Processors Topics: Introduction, Grading, Outline Lab Equipment UIUC/NCSA QP Cluster UIUC/NCSA AP Cluster ECE498AL Development History Why Program...

    http://nanohub.org/resources/7226

  3. Illinois ECE 498AL: Programming Massively Parallel Processors

    11 Aug 2009 | Courses | Contributor(s): Wen-Mei W Hwu

    Spring 2009 Virtually all semiconductor market domains, including PCs, game consoles, mobile handsets, servers, supercomputers, and networks, are converging to concurrent platforms. There are two...

    http://nanohub.org/resources/7225

  4. Illinois ECE 440 Solid State Electronic Devices, Lecture 5: Intrinsic Material, Doping, Carrier Concentrations

    03 Aug 2009 | Online Presentations | Contributor(s): Eric Pop, Omar Sobh

    University of Illinois at Urbana-Champaign ECE 440: Solid State Electronic Devices

    http://nanohub.org/resources/7197

  5. Illinois ECE 440 Solid State Electronic Devices, Lecture 5, Part 2 : Doping, Carrier Concentrations

    03 Aug 2009 | Online Presentations | Contributor(s): Eric Pop, Omar Sobh

    University of Illinois at Urbana-Champaign ECE 440: Solid State Electronic Devices

    http://nanohub.org/resources/7199

  6. Illinois ECE 598EP Lecture 14 - Hot Chips: Power Dissipation in Semiconductors

    20 Jul 2009 | Online Presentations | Contributor(s): Eric Pop, Omar N Sobh

    Power Dissipation in Semiconductors Topics: Simple Power Dissipation Models Revisit Simple Landauer Resistor Continuum view of Heat Generation Details of Joule Heating in Silicon Self...

    http://nanohub.org/resources/7150

  7. Illinois ECE 598EP Lecture 12 - Hot Chips: Boundary Resistance and Thermometry

    17 Jul 2009 | Online Presentations | Contributor(s): Eric Pop, Omar N Sobh

    Boundary Resistance and Thermometry Topics: Summary of Boundary Resistance Acoustic vs. Diffuse Mismatch Model Band to Band Tunneling Conduction Thermionic and Field Emission(3D) ...

    http://nanohub.org/resources/7115

  8. Illinois CEE 595 - Structural Engineering Seminar Series Lecture 1

    07 Jun 2009 | Online Presentations | Contributor(s): Paramita Mondal

    This is the first lecture from the Fall 2008 Structural Engineering Seminar Series (CEE 595). The presenter is Assistant Professor Paramita Mondal. In this lecture, she discusses her work in the...

    http://nanohub.org/resources/6868

  9. Illinois PHYS 466, Lecture 19: The Ising Model

    01 Jun 2009 | Online Presentations | Contributor(s): David M. Ceperley, Omar N Sobh

    http://nanohub.org/resources/6767

  10. imageJ

    03 Apr 2009 | Tools | Contributor(s): Raheem Syed, Nahil Sobh, Umberto Ravaioli, Gabriel Popescu, Mohamed Mohamed

    It can display, edit, analyze, process, save and print 8-bit, 16-bit and 32-bit images. It can read many image formats.

    http://nanohub.org/resources/imagej

  11. Illinois Center for Nanoscale Science and Technology and Nano-CEMMS: A Hard Day in the Life of a Soft Cell

    12 May 2009 | Online Presentations | Contributor(s): Jeffrey Fredberg

    AHard Day in the Life of a Soft Cell With every beat of the heart, inflation of the lung, or peristalsis of the gut, cell types of diverse function are subjected to substantial stretch. But what...

    http://nanohub.org/resources/6760

  12. Illinois PHYS 466, Lecture 18: Kinetic Monte Carlo (KMC)

    04 May 2009 | Online Presentations | Contributor(s): David M. Ceperley, Omar N Sobh

    http://nanohub.org/resources/6732

  13. Illinois PHYS 466, Lecture 17: Simulation of Polymers

    30 Apr 2009 | Online Presentations | Contributor(s): David M. Ceperley, Omar N Sobh

    http://nanohub.org/resources/6714

  14. Illinois PHYS 466, Lecture 16: Free Energies from Simulations

    28 Apr 2009 | Online Presentations | Contributor(s): David M. Ceperley, Omar N Sobh

    http://nanohub.org/resources/6689

  15. Illinois PHYS 466, Lecture 15: Constraints

    22 Apr 2009 | Online Presentations | Contributor(s): David M. Ceperley, Omar N Sobh

    http://nanohub.org/resources/6685

  16. Illinois PHYS 466, Lecture 14: Neighbor Tables, Long-Range Potentials, Ewald Sums

    22 Apr 2009 | Online Presentations | Contributor(s): David M. Ceperley, Omar N Sobh

    http://nanohub.org/resources/6683

  17. Illinois PHYS 466, Lecture 13: Brownian Dynamics

    08 Apr 2009 | Online Presentations | Contributor(s): David M. Ceperley

    Brownian Dynamics Let’s explore the connection between Brownian motion and Metropolis Monte Carlo. Why? Connection with smart MC Introduce the idea of kinetic Monte Carlo Get rid of...

    http://nanohub.org/resources/6635

  18. Illinois PHYS 466, Lecture 12: Random Walks

    30 Mar 2009 | Online Presentations | Contributor(s): David M. Ceperley

    Random Walks Today we will discuss Markov chains (random walks), detailed balance and transition rules. These methods were introduced by Metropolis et al. in 1953 who applied it to a...

    http://nanohub.org/resources/6544

  19. Illinois PHYS 466, Lecture 11: Importance Sampling

    20 Mar 2009 | Online Presentations | Contributor(s): David M. Ceperley

    Importance sampling Today We will talk about the third option: Importance sampling and correlated sampling Content: Importance Sampling Finding Optimal p*(x) for Sampling Example of...

    http://nanohub.org/resources/6488

  20. Illinois PHYS 466, Lecture 10: Sampling

    20 Mar 2009 | Online Presentations | Contributor(s): David M. Ceperley, Omar N Sobh

    Fundamentals of Monte Carlo What is Monte Carlo? Named at Los Alamos in 1940’s after the casino. Any method which uses (pseudo)random numbers> as an essential part of the algorithm. ...

    http://nanohub.org/resources/6507

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