Application Frameworks for High Performance and Grid Computing
Gabrielle Allen, Edward Seidel · 2012
Advanced Computation From engineering gas turbine blade cooling methods for more efficient engines to determining the optimal location for oil wells in the Gulf of Mexico, advanced computational techniques are becoming increasingly important as we study and interpret the world. From predicting complex processes in nature such as hurricane-induced storm surges to the gravitational waves emitted by the collision of two black holes, solving these Grand Challenge problems cannot be effectively tackled by a single researcher, or even a single group. Today’s complex problems require that interdisciplinary research groups combine their expertise in computer science, applied mathematics, engineering, science and the humanities. The scope and accuracy of modern computational approaches are limited, however, compared to what is required by such complex applications. Going beyond high-end computers, which are still too small to adequately compute many processes at the level of detail we need, a much more comprehensive approach involving large-scale computational power, networks, data, and storage, as well as application and system software, is needed to tackle these problems. The Center for Computation & Technology at Louisiana State University