Performance portability in practice with Kokkos and Trilinos solvers
Abstract not provided.
Publications
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Jump to search filtersPerformance of algebraic multigrid on GPUs
Abstract not provided.
Algorithmic and Performance Portability Developments in the Trilinos Solver Stack
Abstract not provided.
Performance portable extensions to ice-sheet modeling in MALI
Abstract not provided.
ExaWind: Then and now
Abstract not provided.
Demonstrate multi-turbine simulation with hybrid-structured / unstructured-moving-grid software stack running primarily on GPUs and propose improvements for successful KPP-2
The goal of the ExaWind project is to enable predictive simulations of wind farms comprised of many megawatt-scale turbines situated in complex terrain. Predictive simulations will require computational fluid dynamics (CFD) simulations for which the mesh resolves the geometry of the turbines, capturing the thin boundary layers, and captures the rotation and large deflections of blades. Whereas such simulations for a single turbine are arguably petascale class, multi-turbine wind farm simulations will require exascale-class resources.
Block Preconditioning for Magnetic Confinement Fusion Relevant Resistive MHD Simulations
Abstract not provided.
ExaWind: Exascale Predictive Wind Plant Flow Physics Modeling
Abstract not provided.
Block Preconditioning for Magnetic Confinement Fusion Relevant Resistive MHD Simulations
Abstract not provided.
Smoothed Aggregation for Difficult Stretched Mesh and Coefficient Variation Problems
Abstract not provided.
Preparing Trilinos Solvers for Exascale Wind Farm Simulations
Abstract not provided.
Harnessing exascale for whole wind farm high-fidelity simulations to improve wind farm efficiency
Abstract not provided.
Demonstrate moving-grid multi-turbine simulations primarily run on GPUs and propose improvements for successful KPP-2
The goal of the ExaWind project is to enable predictive simulations of wind farms comprised of many megawatt-scale turbines situated in complex terrain. Predictive simulations will require computational fluid dynamics (CFD) simulations for which the mesh resolves the geometry of the turbines, capturing the thin boundary layers, and captures the rotation and large deflections of blades. Whereas such simulations for a single turbine are arguably petascale class, multi-turbine wind farm simulations will require exascale-class resources.
FY2021 Q4: Demonstrate moving-grid multi-turbine simulations primarily run on GPUs and propose improvements for successful KPP-2 [Slides]
Isocontours of Q-criterion with velocity visualized in the wake for two NREL 5-MW turbines operating under uniform-inflow wind speed of 8 m/s. Simulation performed with the hybrid-Nalu-Wind/AMR-Wind solver.
Recent Advances in Maxwell Solvers for PIC Simulations Across Architectures
Abstract not provided.
An Algebraic Monolithic Method for Volume-coupled Multiphysics Problems
Abstract not provided.
ExaWind: Exascale Predictive Wind Plant Flow Physics Modeling
Abstract not provided.
A Monolithic Algebraic Multigrid Approach for Coupled Multiphysics Problems using the MueLu Framework
Abstract not provided.
Removal of the UVM Requirement from Tpetra: MultiVector and BlockMultiVector
Abstract not provided.
An Algebraic Monolithic Method for Volume-coupled Multiphysics Problems
Abstract not provided.
Portability of Nalu-Wind using Trilinos and Kokkos Libraries
Abstract not provided.
Performance Portability in Sandia Mission Applications and Kokkos Ecosystem Updates
Abstract not provided.
Demonstration and performance testing of extreme-resolution simulations with static meshes on Summit (Q4 FY2020)
Abstract not provided.
Demonstration and performance testing of extreme-resolution simulations with static meshes on Summit (CPU & GPU) for a parked-turbine configuration and an actuator-line (mid-fidelity model) wind farm configuration (ECP-Q4 FY2020 Milestone Report)
The goal of the ExaWind project is to enable predictive simulations of wind farms comprised of many megawatt-scale turbines situated in complex terrain. Predictive simulations will require computational fluid dynamics (CFD) simulations for which the mesh resolves the geometry of the turbines and captures the rotation and large deflections of blades. Whereas such simulations for a single turbine are arguably petascale class, multi-turbine wind farm simulations will require exascale-class resources. The primary physics codes in the ExaWind simulation environment are Nalu-Wind, an unstructured-grid solver for the acoustically incompressible Navier-Stokes equations, AMR-Wind, a block-structured-grid solver with adaptive mesh refinement capabilities, and OpenFAST, a wind-turbine structural dynamics solver. The Nalu-Wind model consists of the mass-continuity Poisson-type equation for pressure and Helmholtz-type equations for transport of momentum and other scalars. For such modeling approaches, simulation times are dominated by linear-system setup and solution for the continuity and momentum systems. For the ExaWind challenge problem, the moving meshes greatly affect overall solver costs as reinitialization of matrices and recomputation of preconditioners is required at every time step. The choice of overset-mesh methodology to model the moving and non-moving parts of the computational domain introduces constraint equations in the elliptic pressure-Poisson solver. The presence of constraints greatly affects the performance of algebraic multigrid preconditioners.
One slide overviews of the Belos and MueLu Libraries in Trilinos
Abstract not provided.
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