University of Texas at Arlington (UTA) researchers have been awarded a grant from the U.S. Department of Energy to improve operational efficiencies of the Titan supercomputer to support data-heavy applications.
Although the Titan upgrades are primarily meant to handle the massive datasets produced by the particle and nuclear experiments in the Large Hadron Collider (LHC), UTA professor Kaushik De also is interested in providing computing support for advanced biology and materials science simulations.
De originally designed the Production and Distributed Analysis (PanDA) system to handle jobs for the LHC's ATLAS particle physics experiment, making ATLAS data available to thousands of scientists using a global grid of networked computing resources. De's latest system, Big PanDA, is a workload management system that schedules jobs on Titan in a way that does not conflict with Titan's traditional computing jobs.
De notes even when the supercomputer is fully scheduled, Big PanDA can harvest Titan's idle time for use in other projects. "Using Big PanDA to further integrate supercomputers with the grid and cloud computing would also enable a much more efficient use of computing resources for a wider range of scientific applications," he says.
From UTA News Center
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