MOOSE: Enabling Massively Parallel Multiphysics Simulation
| Autor: | Cody J. Permann, Robert W. Carlsen, Roy H. Stogner, Derek Gaston, Richard C. Martineau, Andrew E. Slaughter, Alexander Lindsay, John W. Peterson, David Andrs, Jason M. Miller, Fande Kong |
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| Jazyk: | angličtina |
| Rok vydání: | 2019 |
| Předmět: |
Multiscale
FOS: Computer and information sciences Computer science Automatic differentiation Multiphysics Distributed computing Framework FOS: Physical sciences 01 natural sciences Finite-element 03 medical and health sciences Inheritance (object-oriented programming) 0103 physical sciences Advanced manufacturing 010306 general physics Massively parallel 030304 developmental biology lcsh:Computer software 0303 health sciences Partial differential equation Computational Physics (physics.comp-ph) Parallel Finite element method Computer Science Applications Nonlinear system lcsh:QA76.75-76.765 Computer Science - Mathematical Software Mathematical Software (cs.MS) Physics - Computational Physics Software |
| Zdroj: | SoftwareX, Vol 11, Iss, Pp-(2020) |
| Popis: | Harnessing modern parallel computing resources to achieve complex multi-physics simulations is a daunting task. The Multiphysics Object Oriented Simulation Environment (MOOSE) aims to enable such development by providing simplified interfaces for specification of partial differential equations, boundary conditions, material properties, and all aspects of a simulation without the need to consider the parallel, adaptive, nonlinear, finite-element solve that is handled internally. Through the use of interfaces and inheritance, each portion of a simulation becomes reusable and composable in a manner that allows disparate research groups to share code and create an ecosystem of growing capability that lowers the barrier for the creation of multiphysics simulation codes. Included within the framework is a unique capability for building multiscale, multiphysics simulations through simultaneous execution of multiple sub-applications with data transfers between the scales. Other capabilities include automatic differentiation, scaling to a large number of processors, hybrid parallelism, and mesh adaptivity. To date, MOOSE-based applications have been created in areas of science and engineering such as nuclear physics, geothermal science, magneto-hydrodynamics, seismic events, compressible and incompressible fluid flow, microstructure evolution, and advanced manufacturing processes. 10 Pages of content, 2 Figures, 30 References |
| Databáze: | OpenAIRE |
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