Trilinos/Albany Case Study: a Global Atmosphere Model
Abstract not provided.
Publications
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Jump to search filtersPerformance portability of a fluidized bed solver
Abstract not provided.
Performance portability of a fluidized bed solver
Abstract not provided.
MFiX Integrated with Trilinos: First and Second Generation Preconditioned Linear Solvers Performance Analysis
Abstract not provided.
Dakota Integrated with MFiX for UQ Analysis: Sensitivity of particle size on pressure drop in a fluidized bed DEM simulations
Abstract not provided.
Performance of preconditioned iterative solvers in MFiX–Trilinos for fluidized beds
Journal of Supercomputing
MFiX, a general-purpose Fortran-based suite, simulates the complex flow in fluidized bed applications via BiCGStab and GMRES methods along with plane relaxation preconditioners. Trilinos, an object-oriented framework, contains various first- and second-generation Krylov subspace solvers and preconditioners. We developed a framework to integrate MFiX with Trilinos as MFiX does not possess advanced linear methods. The framework allows MFiX to access advanced linear solvers and preconditioners in Trilinos. The integrated solver is called MFiX–Trilinos, here after. In the present work, we study the performance of variants of GMRES and CGS methods in MFiX–Trilinos and BiCGStab and GMRES solvers in MFiX for a 3D gas–solid fluidized bed problem. Two right preconditioners employed along with various solvers in MFiX–Trilinos are Jacobi and smoothed aggregation. The flow from MFiX–Trilinos is validated against the same from MFiX for BiCGStab and GMRES methods. And, the effect of the preconditioning on the iterative solvers in MFiX–Trilinos is also analyzed. In addition, the effect of left and right smoothed aggregation preconditioning on the solvers is studied. The performance of the first- and second-generation solver stacks in MFiX–Trilinos is studied as well for two different problem sizes.
The Trilinos and Albany Projects: An object-oriented software framework for the solution of large-scale complex multi-physics engineering problems
Abstract not provided.
Trilinos and PyTrilinos installers fro Anaconda
Abstract not provided.
Performance of MFiX Linear Solver Integrated with Trilinos
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Next-generation Multiphase flow solver for Fluidized bed Applications
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Next-Generation Multiphase Flow Solver for Fluidized Bed Applications
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Jupyter Notebook → HTML w/BibTeX Citations
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ECP 1.3.3.03a Develop General CS Components for ATDM Applications
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The Aeras Global Atmosphere Model
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Aeras: A Performance Portable High-Resolution Global Atmosphere Model
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CMDV-Software
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Building Next-Generation Atmosphere and Land-Ice Models Using the Kokkos Trilinos Library
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UX Review of the Trilinos Website
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Uncertainty Quantification for the Global Atmosphere Using Concurrent Samples
Abstract not provided.
Next generation exascale capable multiphase solver with trilinos
ASME International Mechanical Engineering Congress and Exposition, Proceedings (IMECE)
A framework is developed to integrate the existing MFiX (Multiphase Flow with Interphase eXchanges) flow solver with state-of-the-art linear equation solver packages in Trilinos. The integrated solver is tested on various flow problems. The performance of the solver is evaluated on fluidized bed problems and observed that the integrated flow solver performs better compared to the native solver.
Uncertainty Quantification and Verification an Validation for Climate Modeling
Abstract not provided.
Aeras: Sandia's Next Generation Global Atmosphere Model
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Cool Stuff You Can Do with PyTrilinos DistArray and Jupiter
Abstract not provided.
Aeras: A Next-Generation Global Atmosphere Model
Abstract not provided.
Aeras: A Next-Generation Global Atmosphere Model
Abstract not provided.
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