SC08:Parallel and Distributed at GVSU

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Contents

Description

Applications of HPC, Grids, and Parallel Computing to Science Education

This workshop will begin with an emphasis on parallel and cluster computing in an educational setting as well as teaching issues in Grids and Parallel Environments. Examples suitable for classroom use will be presented, including both simple codes that can be made available for student modification and more complex examples that use state of the art open source community codes.

In addition, participants will have the opportunity to be introduced to computational biology and computational chemistry tools and resources. Participants will be introduced to dynamic modeling, bioinformatics, simulation, molecular modeling, mathematical software and visualization viz-a-viz distributed environments and tools.

Register for this Workshop

To register for this workshop, please visit the Workshop Schedule page on the SC Education website. Scroll down to this workshop and then click the "Register" button.

Details

  • Sunday, July 6 - Saturday, July 12
  • Grand Valley State University in Grand Rapids, MI
  • parallel-gvsu <at> sc-education <dot> org
  • Contacts
    • Christian Trefftz, trefftzc <at> gvsu <dot> edu (local contact)
    • Greg Wolffe, wolffe <at> gvsu <dot> edu (local contact)
  • Instructors
    • Charlie Peck
    • Paul Gray
    • Tom Murphy, tmurphy <at> contracosta <dot> edu
    • Erin Hodgess, HodgessE <at> uhd <dot> edu (assistant)
    • Kristina Wanous (assistant)

Schedule (Draft)

Monday

  • Intro to NCSI - Paul and Kay
    • Key players and history (NSCI, Shodor, SC Ed) - Paul
    • SC Education website - Kay
      • Resources: wiki, moodle
    • Awards
    • Student competition
    • photo gallery
    • SC08 program in Austin
  • Parallel line dancing (if we have time)
  • Parallelism Concepts, Intro to SIPE (Erin)
    • after that, Paul will do Game of Life, GalaxSee, Param, Hello World
  • Lunch
  • Multi-core (Greg)
  • OpenMP (Paul)

Tuesday

  • GPU (Ivan)
  • CUDA (Igor)
  • Cluster/LittleFe
  • MPI Programming (Tom)

Wednesday

  • Performance Profiling - cover Tyranny of the Storage Hierarchy (light, Erin) before going into PAPI (Erin)
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