A hierarchical parallel implementation for heterogeneous computing. Application to algebra-based CFD simulations on hybrid supercomputers
From MaRDI portal
Publication:2028139
DOI10.1016/j.compfluid.2020.104768OpenAlexW3093054140MaRDI QIDQ2028139
Xavier Álvarez-Farré, A. V. Gorobets, Francesc Xavier Trias
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.2020.104768
Related Items (4)
Exploiting spatial symmetries for solving Poisson's equation ⋮ Evolution of the shape of a gas cloud during pulsed laser evaporation into vacuum: direct simulation Monte Carlo and the solution of a model equation ⋮ On the implementation of flux limiters in algebraic frameworks ⋮ Numerical analysis of rarefied gas flow through a system of short channels
Uses Software
Cites Work
- A simple approach to discretize the viscous term with spatially varying (eddy-)viscosity
- Symmetry-preserving discretization of Navier-Stokes equations on collocated unstructured grids
- A scalable parallel Poisson solver for three-dimensional problems with one periodic direction
- Parallel mesh partitioning based on space filling curves
- HPC\(^2\) -- a fully-portable, algebra-based framework for heterogeneous computing. Application to CFD
- Heterogeneous computing on mixed unstructured grids with pyfr
- Heterogeneous computing in resource-intensive CFD simulations
- An energy-preserving level set method for multiphase flows
- Implicit method for the solution of supersonic and hypersonic 3D flow problems with lower-upper symmetric-Gauss-Seidel preconditioner on multiple graphics processing units
- Solving incompressible two-phase flows on multi-GPU clusters
- Portable implementation model for CFD simulations. Application to hybrid CPU/GPU supercomputers
- Numerical Solution of the Navier-Stokes Equations
This page was built for publication: A hierarchical parallel implementation for heterogeneous computing. Application to algebra-based CFD simulations on hybrid supercomputers