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Satellite Site Invitation for the XSEDE HPC Monthly Workshop Series

Posted by Hannah Remmert on 01/10/2019 19:52 UTC

XSEDE is pleased to announce a regular series of remote workshops on High Performance Computing topics. These hands-on workshops provide a convenient way for researchers to learn about the latest techniques and technologies of current interest in HPC. We are currently accepting satellite sites for:

  • February 12-13 – Big Data
  • March 5 – GPU Programming Using OpenACC

You, or another representative of your institution, should contact us if you are interested in hosting a remote site. The number of sites will be limited for any given event. Please note that this is not individual student enrollment; we will post registration pages for student enrollment once the remote sites have been determined.

Unless otherwise stated, this series will run from 11AM-5PM Eastern Time each day so as to encourage participation in all time zones.

These workshops are very hands-on, and use the foremost available platforms for their subject matter. They are a continuation of the previously oversubscribed XSEDE remote workshops and an effort to reduce the backlog of demand while maintaining the quality.

Satellite sites MUST be able to provide a facility capable of two-way video for the duration of the workshop. There should also be a full time TA available to assist with local technical issues. An AV system test will be scheduled sometime before each workshop. Failure to complete a successful AV test prior to an event and subsequent AV issues during the workshop my affect the priority level of your site for future events. Address any questions regarding course content to John Urbanic ( and questions regarding registration to Tom Maiden (

The full 2019 schedule is as follows:

  • January 16 – OpenMP
  • February 12-13 – Big Data
  • March 5 – GPU Programming Using OpenACC
  • April 2-3 – Big Data
  • May 6-7 – MPI
  • June 3-6 – Summer Boot Camp
  • August 6-7 – Big Data
  • September 3-4 – MPI
  • October 1-2 – Big Data
  • November 5 – OpenMP
  • December 3-4 – Big Data