Every year competitors in the Supercomputing Challenges thrash it out in a match of fastest, cleverest and best.
The winners of NovemberÂ’s SC07 Challenges are no different. Find out who walked away with the blue ribbons:
First place in the SC07 Analytics Challenge went to a Globus-based application for identifying attacks on cyberinfrastructure. Called Angle, or the New Approach for Protecting Cyber-infrastructure, the application uses a data and compute cloud that allows data to be left in place and computations to be performed over the data.
Cloud computing has been used in the past by companies such as Google, Yahoo, Amazon and Microsoft, however, these cloud infrastructures are by and large based on the standard Internet. In contrast, the Sector data cloud used by the Angle Project was based on wide-area high performance networks and Globus grid technology for federating distributed resources, which enabled easy handling of the large data sets produced by the project.
First place in this yearÂ’s Bandwidth Challenge went to a team using Indiana UniversityÂ’s Data Capacitor, a system designed to store and manipulate massive data sets.
The team achieved a peak transfer rate of 18.21 Gigabits per second out of a possible maximum of 20 Gigabits per second. This performance was nearly twice the peak rate of the nearest competitor.
The team achieved an overall sustained rate of 16.2 Gigabits per secondÂ—roughly equivalent to sending 170 CDs of data per minuteÂ—using a transatlantic network path that included the Internet2, GÃ‰ANT and DFN research networks.
The Data Capacitor is powered by the open source Lustre file system and the Linux operating system. It is currently accessible to researchers though IUÂ’s participation in the TeraGrid.
The winning team was led by Indiana University, with partners from the Technische Universitaet Dresden, Rochester Institute of Technology, Oak Ridge National Laboratory and the Pittsburgh Supercomputing Center.
A team of undergraduates from the University of Alberta, Canada, won the inaugural Supercomputing cluster challenge, a three-day cluster-building marathon.
This award for the most effective approach to using large-scale storage for high-performance computing went to a novel software framework called ParaMEDIC, or Parallel Metadata Environment for Distributed I/O and Computing.