MOOSE: Enabling massively parallel multiphysics simulation

Journal Article · Wed Jan 01 00:00:00 EST 2020 · SoftwareX

DOI:https://doi.org/10.1016/j.softx.2020.100430· OSTI ID:1603701

Permann, Cody J.; Gaston, Derek R.; Andrš, David; Carlsen, Robert W.; Kong, Fande; Lindsay, Alexander D.; Miller, Jason M.; Peterson, John W.; Slaughter, Andrew E.; Stogner, Roy H.; Martineau, Richard C.

Harnessing modern parallel computing resources to achieve complex multiphysics 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.

• Research Organization: Idaho National Laboratory (INL), Idaho Falls, ID (United States)
• Sponsoring Organization: USDOE Office of Nuclear Energy (NE); USDOE Laboratory Directed Research and Development (LDRD) Program
• Grant/Contract Number: AC07-05ID14517
• OSTI ID: 1603701
• Alternate ID(s): OSTI ID: 1909236
• Report Number(s): INL/JOU-20-57038-Rev000; S2352711019302973; 100430; PII: S2352711019302973
• Journal Information: SoftwareX, Journal Name: SoftwareX Vol. 11 Journal Issue: C; ISSN 2352-7110
• Publisher: Elsevier
• Country of Publication: United States
• Language: English

Related Subjects

79 ASTRONOMY AND ASTROPHYSICS
Finite Element Method
Massively Parallel
MOOSE
Framework
Physics