Cornell offers “Introduction to Parallel Computing” workshop

On May 28-29, 2009, members of the Cornell Center for Advanced Computing (CAC) will present a National Science Foundation-sponsored training workshop, “Introduction to Parallel Computing,” on the campus of Cornell University, Ithaca, NY.

The two-day workshop will focus on parallel computing on Ranger, the 3,936 node, 579 peak teraflop Linux Sun cluster located at the Texas Advanced Computing Center, although the concepts of this workshop will readily transfer to other high-performance computing platforms. There is no fee for this workshop.

The first day of the training workshop will introduce attendees to the available hardware, the programming environment, and parallel programming concepts. There will also be discussions and labs on Message Passing Interface (MPI). The second day will continue with parallel programming topics such as OpenMP and hybrid programming with OpenMP and MPI, and include labs. The workshop will conclude with optimization and debugging techniques.

To register for the workshop, please visit http://portal.teragrid.org/training. Questions regarding the workshop may be directed to Cornell CAC “Help.”

The Cornell Center for Advanced Computing receives support from Cornell University, the National Science Foundation, DOD, USDA, and members of its corporate program.

The Ranger supercomputer is funded through the NSF Office of Cyberinfrastructure “Path to Petascale” program. The system is a collaboration among the Texas Advanced Computing Center (TACC), The University of Texas at Austin’s Institute for Computational Engineering and Science (ICES), Sun Microsystems, Advanced Micro Devices, Arizona State University, and Cornell University.

Ranger is a key resource 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.