Multidisciplinary computational aerosciences

CFD Vision 2030 Study: A Path to Revolutionary Computational Aerosciences

matrix inversion problems requires the development of algebraic multigrid methods (AMG). At the same time, improvements to current multigrid strategies are required if these methods are to scale effectively on emerging massively parallel HPC hardware. Although NASA investment in further research on multigrid methods has stalled since the early 1990’s, considerable research has been directed tow...

Using High-Performance Networks to Enable Computational Aerosciences Applications

One component of the U.S. Federal High Performance Computing and Communications Program (HPCCP) is the establishment of a gigabit network to provide a communications infrastructure for researchers across the nation. This gigabit network will provide new services and capabilities, in addition to increased bandwidth, to enable future applications. An understanding of these applications is necessa...

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Multidisciplinary Design Optimization in Computational Mechanics

Multidisciplinary Design Optimization in Computational Mechanics