Purdue School on High Performance and Parallel Computing

By Alejandro Strachan1; Faisal Saied1

1. Purdue University

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Abstract

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 application to solve scientific problems. It will also include lab sessions where participants will get hands-on experience with parallel computing including the use of performance evaluation and debugging tools on state of the art simulation codes.

The workshop begins with a series of overview presentations on current state-of-the-art computing architectures and parallel programming as well as how they are used to address scientific and engineering challenges in various fields with physics spanning from atomistic to macroscopic phenomena. The remaining presentations are devoted to programming and debugging tools.

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Sponsored by

Center for Prediction of Reliability, Integrity and Survivability of Microsystems (PRISM),
Network for Computational Nanotechnology (NCN),
Rosen Center for Advanced Computing (RCAC), ITaP, Purdue University,
Computing Research Institute (CRI), Purdue University,
Computational Science & Engineering Program, Purdue University

Cite this work

Researchers should cite this work as follows:

  • Alejandro Strachan, Faisal Saied (2008), "Purdue School on High Performance and Parallel Computing," https://nanohub.org/resources/5666.

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Time

Location

Purdue University, West Lafayette, IN

Tags

  1. algorithms
  2. computational materials science
  3. computational science/engineering
  4. cyberinfrastructure
  5. high performance computing (HPC)
  6. parallel programming
  7. programming techniques
  8. scientific computing

In This Workshop

  1. MPI for the Next Generation of Supercomputing

    0.0 out of 5 stars 

    05 Dec 2008 | Online Presentations | 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...

  2. Welcoming Remarks

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    24 Nov 2008 | Online Presentations | Contributor(s): Alejandro Strachan

    Opening remarks for the Purdue School on High Performance and Parallel Computing.

  3. Nanoparticle and Colloidal Simulations with Molecular Dynamics

    0.0 out of 5 stars 

    05 Dec 2008 | Online Presentations | Contributor(s): Steve Plimpton

    Modeling nanoparticle or colloidal systems in a molecular dynamics (MD) code requires coarse-graining 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...

  4. OpenMP Tutorial

    0.0 out of 5 stars 

    25 Nov 2008 | Online Presentations | 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...

  5. Introduction to Parallel Programming with MPI

    5.0 out of 5 stars 

    24 Nov 2008 | Online Presentations | 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...

  6. Software Productivity Tools

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

    This presentation briefly describes the use of tar(1), make(1), the Portable Batch System (PBS), and two version control systems: CVS and subversion.

  7. Introduction to TotalView

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

    This single-session course presents an introduction to the use of the TotalView parallel debugger available on Purdue's Linux systems.