Multiphysics simulations: Challenges and opportunities
We consider multiphysics applications from algorithmic and architectural perspectives,
where “algorithmic” includes both mathematical analysis and computational complexity, and …
where “algorithmic” includes both mathematical analysis and computational complexity, and …
Recent advances in CFD modeling of bioethanol production processes
Bioethanol is the alternative to fossil fuels for the transport sector's environmental
sustainability. Scientific journals have disclosed a few works on modeling and enhancing …
sustainability. Scientific journals have disclosed a few works on modeling and enhancing …
NekRS, a GPU-accelerated spectral element Navier–Stokes solver
The development of NekRS, a GPU-oriented thermal-fluids simulation code based on the
spectral element method (SEM) is described. For performance portability, the code is based …
spectral element method (SEM) is described. For performance portability, the code is based …
Nektar++: An open-source spectral/hp element framework
Nektar++ is an open-source software framework designed to support the development of
high-performance scalable solvers for partial differential equations using the spectral/hp …
high-performance scalable solvers for partial differential equations using the spectral/hp …
[BOOK][B] High performance visualization: Enabling extreme-scale scientific insight
Visualization and analysis tools, techniques, and algorithms have undergone a rapid
evolution in recent decades to accommodate explosive growth in data size and complexity …
evolution in recent decades to accommodate explosive growth in data size and complexity …
Lean algebraic multigrid (LAMG): Fast graph Laplacian linear solver
OE Livne, A Brandt - SIAM Journal on Scientific Computing, 2012 - SIAM
Laplacian matrices of graphs arise in large-scale computational applications such as
semisupervised machine learning; spectral clustering of images, genetic data, and web …
semisupervised machine learning; spectral clustering of images, genetic data, and web …
Scalability of high-performance PDE solvers
Performance tests and analyses are critical to effective high-performance computing
software development and are central components in the design and implementation of …
software development and are central components in the design and implementation of …
[HTML][HTML] Error-driven adaptive mesh refinement for unsteady turbulent flows in spectral-element simulations
The simulation of turbulent flows requires high spatial resolution in potentially a priori
unknown, solution-dependent locations. To achieve adaptive refinement of the mesh, we …
unknown, solution-dependent locations. To achieve adaptive refinement of the mesh, we …
Aspect ratio effects in turbulent duct flows studied through direct numerical simulation
Three-dimensional effects in turbulent duct flows, ie, sidewall boundary layers and
secondary motions, are studied by means of direct numerical simulation (DNS). The spectral …
secondary motions, are studied by means of direct numerical simulation (DNS). The spectral …
Exascale multiphysics nuclear reactor simulations for advanced designs
ENRICO is a coupled application developed under the US Department of Energy's Exascale
Computing Project (ECP) targeting the modeling of advanced nuclear reactors. It couples …
Computing Project (ECP) targeting the modeling of advanced nuclear reactors. It couples …