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Home > iSGTW 16 April 2008 > iSGTW Announcement - Virtual workshop available for TeraGrid's Ranger


Announcement - Virtual workshop available for TeraGrid’s Ranger


The 504 teraflop Ranger is pictured here with Principal Investigator Jay Boisseau and Co-Principal Investigators Karl Schulz and Tommy Minyard. Read more about Ranger in iSGTW.
Image courtesy of Texas Advanced Computing Center
Online training for users of Ranger, the 504 teraflop supercomputer recently installed as part of the TeraGrid, is now available.

“The Ranger Virtual Workshop is open to everyone, but there are advantages to being a TeraGrid user,” said Susan Mehringer, assistant director at the Cornell Center for Advanced Computing. “While the workshop is open to the general scientific community, TeraGrid users will receive special benefits such as consulting and support.”

“The Ranger Virtual Workshop is available 24 hours a day, seven days a week as an alternative to ‘live’ Ranger classroom workshops,” Mehringer explained. “It’s ideal for users who need immediate information, who like to learn at their own pace, or who prefer not to travel.” 

If they have not done so already, Ranger users are encouraged to join the TeraGrid by obtaining a Development Allocation account.

New Ranger Virtual Workshop modules now accessible through the TeraGrid User Portal include:
  • Parallel programming concepts and HPC
  • Ranger environment
  • Message Passing Interface (MPI)
  • OpenMP
  • Profiling and debugging
  • Optimization and scalability
Additional modules will be added in the coming months and will focus on advanced concepts such as:
  • Hybrid programming with OpenMP and MPI
  • Advanced MPI
  • Large scale data visualization.
For access, please log into the TeraGrid User Portal, and:
  • Select the Training tab;
  • Select the Online Training tab; and
  • Select Ranger Virtual Workshop (under the High Performance Computing Technology Area).
Consulting questions may be submitted via the TeraGrid User Portal.

The training has been made available by the Cornell Center for Advanced Computing, the Arizona State University Fulton High Performance Computing Initiative, and the Texas Advanced Computing Center.




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