Resources (1-20 of 33)

1. Recursive algorithm for NEGF in Python GPU version

   Downloads | 02 Feb 2021 | Contributor(s):: Ning Yang, Tong Wu, Jing Guo

   This folder contains two Python functions for GPU-accelerated simulation, which implements the recursive algorithm in the non-equilibrium Green’s function (NEGF) formalism. Compared to the matlab implementation [1], the GPU version allows massive parallel running over many cores on GPU...

2. Rappture Bootcamp 1.1: Introducing the Rappture Toolkit

   Online Presentations | 16 Jul 2012 | Contributor(s):: Michael McLennan

3. Rappture Bootcamp 1.2: What's Under the Hood?

   Online Presentations | 16 Jul 2012 | Contributor(s):: Michael McLennan

4. Rappture Bootcamp 1.3: Introduction to Scientific Programming in MATLAB

   Online Presentations | 16 Jul 2012 | Contributor(s):: Michael McLennan

5. Rappture Bootcamp 1.4: Adding Rappture to MATLAB Applications

   Online Presentations | 16 Jul 2012 | Contributor(s):: Michael McLennan

6. Rappture Bootcamp 2.1: Review of Scientific Programming in C and Fortran

   Online Presentations | 16 Jul 2012 | Contributor(s):: Michael McLennan

7. Rappture Bootcamp 2.2: Rappture with C and Fortran

   Online Presentations | 16 Jul 2012

8. Rappture Bootcamp 2.3: More Rappture Objects

   Online Presentations | 16 Jul 2012 | Contributor(s):: Michael McLennan

9. Rappture Bootcamp 2.4: Using the Loader

   Online Presentations | 16 Jul 2012 | Contributor(s):: Michael McLennan

10. Rappture Bootcamp 2.5: Advanced Visualization

    Online Presentations | 16 Jul 2012 | Contributor(s):: Michael McLennan

11. Rappture Bootcamp 3.1: Regression Testing

    Online Presentations | 16 Jul 2012 | Contributor(s):: Michael McLennan

12. Rappture Bootcamp 3.2: Uploading and Publishing New Tools

    Online Presentations | 16 Jul 2012 | Contributor(s):: Michael McLennan

13. Rappture Bootcamp 3.3: Using Subversion for Source Code Control

    Online Presentations | 16 Jul 2012 | Contributor(s):: Michael McLennan

14. Rappture Bootcamp: Building and Deploying Tools

    Courses | 16 Jul 2012 | Contributor(s):: Michael McLennan

    This tutorial, presented at the NCN Rappture Bootcamp at Purdue (May 22-24, 2012), shows you exactly how you can upload your own code onto a hub and publish a tool for a limited group of colleagues or for the entire world to use. It describes Rappture, the Rapid APPlication infrastrucTURE, a...

15. Mathematica for CUDA and OpenCL Programming

    Online Presentations | 07 Mar 2011 | Contributor(s):: Ulises Cervantes-Pimentel, Abdul Dakkak

    In the latest release of Mathematica 8, a large number of programming tools for GPU computing are available. In this presentation, new tools for CUDA and OpenCL programming will be explored. Several applications, including image processing, medical imaging, multi-gpu, statistics and finance will...

16. Illinois ECE 498AL: Programming Massively Parallel Processors

    Courses | 11 Aug 2009 | 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 important reasons for this trend. First, these concurrent processors can potentially offer more...

17. MPI for the Next Generation of Supercomputing

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    Online Presentations | 05 Dec 2008 | Contributor(s):: Andrew Lumsdaine

    Despite premature rumours of its demise, MPI continues to be the de facto standard for high-performance parallel computing. Nonetheless, supercomputing software and the high-end ecosystem continue to advance, creating challenges to several aspects of MPI. In this talk we will review the design...

18. OpenMP Tutorial

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    Online Presentations | 25 Nov 2008 | Contributor(s):: Seung-Jai 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 program...

19. Purdue School on High Performance and Parallel Computing

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    Workshops | 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...

20. Introduction to Parallel Programming with MPI

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    Online Presentations | 24 Nov 2008 | Contributor(s):: David Seaman

    Single-session course illustrating message-passing techniques. The examples include point-to-point and collective communication using blocking and nonblocking transmission. One application illustrates the manager/worker model with buffered communications. Code examples provided in C, C++, Fortran...