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At the recent SCALE 2011 Conference, the 4th IEEE International Scalable Computing Challenge, Professor Mary Wheeler, research associate Gergina Pencheva, and postdoctoral fellow Reza Tavakoli, were part of a multi institutional team
which was awarded first place for their innovative application of cloud computing to enhanced oil recovery. Groups from The Center for
Autonomic Computing at Rutgers University, and IBM’s T.J. Watson Research Center were the other participants in this team effort. This international
contest highlights the best methods in supercomputing scaling applied to real world problems.
The winning team started with UT’s successful enhanced oil recovery supercomputer software that models underground aquifers developed by researchers under Dr. Wheeler, director of the ICES Center for Subsurface Modeling and professor of aerospace engineering and engineering mechanics, and of petroleum and geosystems engineering and of mathematics. Wheeler holds the Ernest and Virginia Cockrell Chair in Engineering. Researchers from Rutgers University and IBM created software interfaces and filters to make the EOR supercomputer software accessible through cloud computing.
Using an iPad as the interface, the project, “A Scalable Ensemble-based Oil-Reservoir Simulations using Blue Gene/P-as-a-Service,” demonstrated how cloud computing can support powerful, geographically separated supercomputers. The multi-institutional, multi-national team accessed two supercomputers--one located at KAUST in Jeddah, Saudi Arabia and the other located at IBM’s research center in New York. A full demonstration of the software is online.
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