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Press Release

“Introduction to Parallel Computing on Ranger and Lonestar” at Cornell


Contact: Paul Redfern
Cell: (607) 227-1865

FOR RELEASE: April 1, 2011

ITHACA, N.Y. – On May 23-24, 2011, members of the Cornell Center for Advanced Computing (CAC) will present a National Science Foundation-sponsored training workshop, “Introduction to Parallel Computing on Ranger and Lonestar” on the campus of Cornell University, Ithaca, NY.

The two-day workshop will focus on parallel computing on Ranger, a 3,936 node, 579 peak teraflop Sun Constellation cluster and on Lonestar, a 1,888 node, 302 peak teraflop Dell Xeon cluster. Both Linux clusters are located at the Texas Advanced Computing Center. The concepts of this workshop will readily transfer to other high-performance computing platforms. There is no fee to attend this workshop.

The workshop will be of particular interest to computational scientists interested in developing codes. Topics will include:

  • Developing parallel programming skills in OpenMP and MPI
  • Using the SGE batch system
  • Evaluating and optimizing code performance
  • Debugging code
  • Compiling and running example codes

CAC staff will be available during the training session to assist users in their code development efforts. The workshop will consist of lectures, labs, and discussions.

To register for the workshop, please visit https://www.cac.cornell.edu/education/register/registerranger.aspx.

Questions regarding the workshop may be directed to CAC help.

The Ranger and Lonestar supercomputers were funded through the National Science Foundation. They are key resources of the NSF TeraGrid, a nationwide network of academic HPC centers, sponsored by the NSF Office of Cyberinfrastructure, which provides scientists and researchers access to large-scale computing power and resources. TeraGrid is a partnership of people, resources and services that enables discovery in U.S. science and engineering by providing researchers with access to large-scale computing, networking, data-analysis and visualization resources and expertise.

The Cornell University Center for Advanced Computing (CAC) is a leader in high-performance computing systems, applications, training, and data solutions that enable research success. CAC receives support from Cornell University, the National Science Foundation, and other leading public agencies, foundations, and corporations. For more information on CAC, visit http://www.cac.cornell.edu.