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Introduction to Stampede as a Flexible Data Engine

    Submitter: William McGrath
    Submitter's Institution: TACC
    Submission Date: 2014-11-03
    Description: TACC

    Prerequisites: Linux, C/Fortran/Python, HPC Cluster Programming Environement

    This one day workshop will introduce participants to the four data intensive computing modes Stampede is designed to provide: 1) high throughput data processing, 2) parallel data analysis, 3) large shared memory applications, and 4) large-scale visualization.  The material will focus on using the job launchers, parallel R, and visualization tools available on Stampede. The workshop will use a mixture of lecture and hands-on training to explore how users can use Stampede for their data driven computing needs.

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