Spacetime meshing with adaptive refinement and coarsening

Abedi, Reza; Chung, Shuo-Heng; Erickson, Jeff; Fan, Yadong; Garland, Michael; Guoy, Damrong; Haber, Robert B.; Sullivan, John M.; Thite, Shripad; Zhou, Yuan

doi:10.1145/997817.997863

Cited by 46 publications

(50 citation statements)

References 30 publications

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“…Likewise, Ungor et al [60] and, some time later, Abedi et al [61] have put some efforts towards the development of 2D+t grids by a mesh-marching technique.…”

Section: Formulationmentioning

confidence: 99%

23rd AIAA Computational Fluid Dynamics Conference

Ederra¹,

Rendall²,

Gaitonde³

et al. 2017

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General rightsThis document is made available in accordance with publisher policies. Please cite only the published version using the reference above. Full terms of use are available: http://www.bristol.ac.uk/pure/about/ebr-terms A spacetime framework is presented to solve unsteady aerodynamics problems as an alternative to conventional approaches for complex problems involving large deformation or topological change such as store separation, slat and flap deployment or spoiler deflection. It avoids complex CFD meshing methods, such as Chimera, by the use of a finite-volume approach both in space and time. The use of a central-difference scheme in the time direction yields non-physical transient solutions as a consequence of pressure waves travelling backwards in time. Therefore, an upwind formulation is provided and validated against one-dimensional test cases: a semi-infinite piston and a finite piston with a sharp change in direction. Also a hybrid formulation is given and several two-dimensional unsteady aerodynamics cases are computed with all three formulations and compared, demonstrating that the use of an upwind time stencil yields more representative physical solutions and improves the rate of convergence. In particular, the following problems are presented: a pitching NACA-0012 (periodic); a simple flap deflection; a spoiler deployment; a full landing case with a combination of slat, flap and spoiler deployments along with ground effect; and a case where aerofoils fly in opposite directions at subsonic and supersonic speeds.

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“…Likewise, Ungor et al [60] and, some time later, Abedi et al [61] have put some efforts towards the development of 2D+t grids by a mesh-marching technique.…”

Section: Formulationmentioning

confidence: 99%

23rd AIAA Computational Fluid Dynamics Conference

Ederra¹,

Rendall²,

Gaitonde³

et al. 2017

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show abstract

“…For example, TentPitcher is a novel algorithm for solving hyperbolic systems via the Spacetime Discontinuous Galerkin (SDG) method developed at the Center for Process Simulation and Design at UIUC [1]. In converting this algorithm to run in parallel, we made extensive use of the multi-paradigm capabilities of ParFUM.…”

Section: Multi-paradigm Applicationsmentioning

confidence: 99%

A Case Study in Tightly Coupled Multi-paradigm Parallel Programming

Chakravorty

Becker

Wilmarth

et al. 2008

Languages and Compilers for Parallel Computing

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Abstract. Programming paradigms are designed to express algorithms elegantly and efficiently. There are many parallel programming paradigms, each suited to a certain class of problems. Selecting the best parallel programming paradigm for a problem minimizes programming effort and maximizes performance. Given the increasing complexity of parallel applications, no one paradigm may be suitable for all components of an application. Today, most parallel scientific applications are programmed with a single paradigm and the challenge of multi-paradigm parallel programming remains unmet in the broader community. We believe that each component of a parallel program should be programmed using the most suitable paradigm. Furthermore, it is not sufficient to simply bolt modules together: programmers should be able to switch between paradigms easily, and resource management across paradigms should be automatic. We present a pre-existing adaptive runtime system (ARTS) and show how it can be used to meet these challenges by allowing the simultaneous use of multiple parallel programming paradigms and supporting resource management across all of them. We discuss the implementation of some common paradigms within the ARTS and demonstrate the use of multiple paradigms within our feature-rich unstructured mesh framework. We show how this approach boosts performance and productivity for an application developed using this framework.

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“…Moreover, some applications need to perform incremental and unsynchronized modifications to their parallel meshes. One application that needs parallel mesh modification is the adaptive space-time meshing algorithm [24,25], described in Section 5.1. In order to support different forms of mesh modification in ParFUM, we decided to create a simple but robust abstraction that would support a wide range of application needs.…”

Section: Modification Of Parallel Meshesmentioning

confidence: 99%

“…The Spacetime Discontinuous Galerkin (SDG) method [24,25] provides a powerful way to analyze phenomena such as shock wave propagation in solids, evolution equations for state variables in inelastic constitutive models and Hamilton-Jacobi level set models for interface kinetics.…”

Section: Spacetime Discontinuous Galerkinmentioning

confidence: 99%

ParFUM: a parallel framework for unstructured meshes for scalable dynamic physics applications

Lawlor

Chakravorty

Wilmarth

et al. 2006

Engineering with Computers

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Unstructured meshes are used in many engineering applications with irregular domains, from elastic deformation problems to crack propagation to fluid flow. Because of their complexity and dynamic behavior, the development of scalable parallel software for these applications is challenging. The Charm++ Parallel Framework for Unstructured Meshes allows one to write parallel programs that operate on unstructured meshes with only minimal knowledge of parallel computing, while making it possible to achieve excellent scalability even for complex applications. Charm++'s messagedriven model enables computation/communication overlap, while its run-time load balancing capabilities make it possible to react to the changes in computational load that occur in dynamic physics applications. The framework is highly flexible and has been enhanced with numerous capabilities for the manipulation of unstructured meshes, such as parallel mesh adaptivity and collision detection. 1

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Spacetime meshing with adaptive refinement and coarsening

Cited by 46 publications

References 30 publications

23rd AIAA Computational Fluid Dynamics Conference

23rd AIAA Computational Fluid Dynamics Conference

A Case Study in Tightly Coupled Multi-paradigm Parallel Programming

ParFUM: a parallel framework for unstructured meshes for scalable dynamic physics applications

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