Preparing for the Cluster Showdown
At the Cray, Inc., blog, they write the following as a lead-in to a post about their sponsorship of the team from the University of Tennessee, Team VIBE (Vols in the Big Easy):
"The annual Supercomputing conference, which will be held this year Nov. 16–21 in New Orleans, Louisiana, is a can't-miss event for the supercomputing world. It's five days of exhibits, conferences and networking that showcase current innovations in the industry.
"It's also the forum for the Student Cluster Competition (SCC), a 48-hour, nonstop challenge for 12 teams of undergraduate and/or high school students. Their mission: Assemble a small cluster computer and race to demonstrate the greatest sustained performance on several applications, three of which they'll know in advance and one that's a mystery until the competition starts."
Read more on the blog and view the "Meet Team VIBE" video here.
Article posting date: 23 September 2014
About JICS and NICS: The Joint Institute for Computational Sciences (JICS) was established by the University of Tennessee and Oak Ridge National Laboratory (ORNL) to advance scientific discovery and state-of-the-art engineering, and to further knowledge of computational modeling and simulation. JICS realizes its vision by taking full advantage of petascale-and-beyond computers housed at ORNL and by educating a new generation of scientists and engineers well versed in the application of computational modeling and simulation for solving the most challenging scientific and engineering problems. JICS runs the National Institute for Computational Sciences (NICS), which had the distinction of deploying and managing the Kraken supercomputer. NICS is a leading academic supercomputing center and a major partner in the National Science Foundation's eXtreme Science and Engineering Discovery Environment, known as XSEDE. In November 2012, JICS sited the Beacon system, which set a record for power efficiency and captured the number one position on the Green500 list of the most energy-efficient computers.