Cardinal Software Library List

Introduction

The Software Library List (SLL) provides a list of software libraries utilized by Cardinal.

Dependencies

The Cardinal application is developed using MOOSE and is based on various modules. As such, the SLL for Cardinal is dependent upon the following documents.

MOOSE

Cardinal is a MOOSE-based application, mooseframework.org, which is summarized in the following abstract (Permann et al., 2020).

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.

Current Version of MOOSE: 888177c4534dd9f42fcee0bb80ea66fd8ac9100d

References

Cody J. Permann, Derek R. Gaston, David Andrš, Robert W. Carlsen, Fande Kong, Alexander D. Lindsay, Jason M. Miller, John W. Peterson, Andrew E. Slaughter, Roy H. Stogner, and Richard C. Martineau. MOOSE: enabling massively parallel multiphysics simulation. SoftwareX, 11:100430, 2020. URL: http://www.sciencedirect.com/science/article/pii/S2352711019302973, doi:https://doi.org/10.1016/j.softx.2020.100430.

@article{permann2020moose,
    author = "Permann, Cody J. and Gaston, Derek R. and Andr{\v{s}}, David and Carlsen, Robert W. and Kong, Fande and Lindsay, Alexander D. and Miller, Jason M. and Peterson, John W. and Slaughter, Andrew E. and Stogner, Roy H. and Martineau, Richard C.",
    title = "{MOOSE}: Enabling massively parallel multiphysics simulation",
    journal = "{SoftwareX}",
    volume = "11",
    pages = "100430",
    year = "2020",
    issn = "2352-7110",
    doi = "https://doi.org/10.1016/j.softx.2020.100430",
    url = "http://www.sciencedirect.com/science/article/pii/S2352711019302973",
    keywords = "Framework, Finite-element, Parallel, Multiphysics, Multiscale"
}

Introduction
Dependencies
MOOSE
References