Course Calendar

Parallel Computing at TACC: Ranger to Stampede Transition

Host Site:

Cornell University Center for Advanced Computing (CAC)

Host site URL:

The one-day workshop will prepare the national research community to use Ranger now, while preparing users for Stampede which will be available in early 2013. Concepts taught in this workshop will readily transfer to other HPC platforms.

Deployed at the Texas Advanced Computing Center (TACC), Stampede is a powerful addition to the Extreme Science and Engineering Discovery Environment (XSEDE). Stampede will have a peak performance of more than 2 petaflops from the base cluster of Intel® Xeon® processors and more than 7 petaflops from the Intel Xeon Phi™ co-processors. The compute nodes are more than 5,000 Dell PowerEdge C8220X “Zeus” servers, each of which contains dual 8-core Intel E5-2680 processors and 32 gigabytes of memory. Remote visualization will be supported by 128 next-generation NVIDIA graphics processing units (GPUs).

Ranger to Stampede transition training will include the following topics:

  • Programming environment on Ranger and Stampede
  • Parallel programming on Ranger and Stampede
  • OpenMP
  • Vectorization

The workshop will consist of lectures and labs conducted by consultants from the Cornell University Center for Advanced Computing (CAC). Lab exercises will be conducted on Ranger. CAC staff will be available during the training session to assist users in their code development efforts. There is no fee to attend.

More information:


In person (Cornell University Center for Advanced Computing (CAC))

11/06/2012 09:00 - 11/06/2012 17:00 EST (SESSION HAS ENDED)
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Registration CLOSED
Registration open date
10/16/2012 17:00 EDT
Registration close date
11/01/2012 09:00 EDT
Class size restriction
30 registrants

(13 spots left)


0 registrants

Contact Information
Susan Mehringer
Contact phone
Contact email
Cornell University Center for Advanced Computing (CAC)
Carpenter Hall, Blue Room
Cornell University
Ithaca, NY 14853
Posted: 10/16/2012 21:00 UTC