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Discovering OpenSees Series: “Workflows in the Clouds with NEEShub” on Sept 30 and Oct 1

The next seminar in the web-based Discovering OpenSees: Surfing the waves of OpenSees learning series will occur on September 30 and October 1. The session will be broadcast twice to allow users in all time zones around the world to participate. This 1-hour session is titled "Workflows in the Clouds with NEEShub" and will occur on September 30 at 4:30 pm Pacific Time & October 1 at 9:30 am Pacific Time.

This seminar will demonstrate how to launch workflows involving OpenSees and Octave (free Matlab) on the resources of the Open Science Grid using the pegasus software that is available on NEEShub. It will be highly useful to any research group intending to do large parameter sweeps.

The following topics will be discussed:

  • - What is a Workflow
  • - Pegasus and the Open Science rid
  • - Example Workflow
  • - How to create your own and run it.
  • - Summary and conclusions

How can I join the seminar?
Register for the seminar on Monday September 30 at 4:30 pm Pacific Time
Register for the seminar on Tuesday October 1 at 9:30 am Pacific Time
Once registered, you will receive a confirmation email with instructions for joining the meeting. More information will be posted at the Discovering OpenSees Wiki page.

After the seminar, please complete the short evaluation form to give OpenSees feedback and to suggest future seminar topics.

What’s next in the Discovering OpenSees Series?
The next Discovering OpenSees sessions will be on the following dates about the topics listed below.   Mark them on your calendar!

"Load Balancing for Large Parameter Studies"
October 29 at 9:30 am PT & October 30 at 4:30 pm PT

"OpenSees Reliability Analysis"
December 2013 – date and time to be determined

Past Discovering OpenSees Seminars – how to find past seminar recordings
For more information about the Discovering OpenSees Series including previous presentation slides, video recordings, and topics, visit the Discovering OpenSees Wiki page.

For more information about OpenSees, visit: http://opensees.berkeley.edu/