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The Uintah Software framework was developed to provide an environment for solving fluid-structure interaction problems on struc-tured adaptive grids on large-scale, long-running, data-intensive problems. Uintah uses a combination of fluid-flow solvers and particle-based methods for solids together with a novel asynchronous task-based approach with fully(More)
The Uintah computational framework is used for the parallel solution of partial differential equations on adaptive mesh refinement grids using modern supercomputers. Uintah is structured with an application layer and a separate runtime system. The Uintah runtime system is based on a distributed directed acyclic graph (DAG) of computational tasks, with a(More)
The design of robust computational physics codes has always been a challenge to application programmers. One of the key difficulties in writing multiphysics codes stems from the inefficient handling of spatial discretiza-tion and field operations. For example, in the context of the finite volume (FV) method, one often deals with structured and unstructured(More)
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