Direct reconstruction method for discontinuous Galerkin methods on higher-order mixed-curved meshes III. Code optimization via tensor contraction
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Publication:2028168
DOI10.1016/j.compfluid.2020.104790OpenAlexW3113299566MaRDI QIDQ2028168
Publication date: 31 May 2021
Published in: Computers and Fluids (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.compfluid.2020.104790
discontinuous Galerkin methodflow over a circular cylindercode optimizationdirect reconstruction methodcomplete-search tensor contractiontensor contraction
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Cites Work
- Unnamed Item
- On the flexibility of agglomeration based physical space discontinuous Galerkin discretizations
- WENO schemes on arbitrary mixed-element unstructured meshes in three space dimensions
- A new class of high-order energy stable flux reconstruction schemes
- A unifying lifting collocation penalty formulation including the discontinuous Galerkin, spectral volume/difference methods for conservation laws on mixed grids
- Direct reconstruction method for discontinuous Galerkin methods on higher-order mixed-curved meshes. II: Surface integration
- A unified framework for the construction of one-step finite volume and discontinuous Galerkin schemes on unstructured meshes
- Polymorphic nodal elements and their application in discontinuous Galerkin methods
- Weighted essentially non-oscillatory schemes
- A priori and a posteriori evaluations of sub-grid scale models for the Burgers' equation
- Influence of reference-to-physical frame mappings on approximation properties of discontinuous piecewise polynomial spaces
- High-order multi-dimensional limiting strategy with subcell resolution. I: Two-dimensional mixed meshes
- On the identification of symmetric quadrature rules for finite element methods
- Direct reconstruction method for discontinuous Galerkin methods on higher-order mixed-curved meshes. I: Volume integration
- Accuracy, efficiency and scalability of explicit and implicit FR/CPR schemes in large eddy simulation
- Discontinuous Galerkin solution of the Reynolds-averaged Navier-Stokes and \(k-\omega\) turbulence model equations
- Split form nodal discontinuous Galerkin schemes with summation-by-parts property for the compressible Euler equations
- Interpolation error bounds for curvilinear finite elements and their implications on adaptive mesh refinement
- Efficient quadrature-free high-order spectral volume method on unstructured grids: theory and 2D implementation
- Accurate, efficient and monotonic numerical methods for multi-dimensional compressible flows. II: Multi-dimensional limiting process
- Implicit Large Eddy Simulation of transition to turbulence at low Reynolds numbers using a Discontinuous Galerkin method
- Numerical studies of flow over a circular cylinder at ReD=3900
- Anatomy of high-performance matrix multiplication
- TVB Runge-Kutta Local Projection Discontinuous Galerkin Finite Element Method for Conservation Laws II: General Framework
- Suitability of Upwind-Biased Finite Difference Schemes for Large-Eddy Simulation of Turbulent Flows
- A dynamic subgrid-scale eddy viscosity model
- Dynamics and low-dimensionality of a turbulent near wake
- Design of a High-Performance GEMM-like Tensor–Tensor Multiplication
- A New Class of Optimal High-Order Strong-Stability-Preserving Time Discretization Methods
- Experimental and numerical studies of the flow over a circular cylinder at Reynolds number 3900
- Hierarchic multigrid iteration strategy for the discontinuous Galerkin solution of the steady Euler equations
- Analytical theories of turbulence
- Multidimensional Summation-by-Parts Operators: General Theory and Application to Simplex Elements
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