Difference between revisions of "Research Focus"
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== Efficient Numerical Algorithms == | == Efficient Numerical Algorithms == | ||
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* Parallelisation – MPI, OpenMP, hybrid; load balancing, scalability | * Parallelisation – MPI, OpenMP, hybrid; load balancing, scalability | ||
* Grid Computing | * Grid Computing | ||
+ | |||
+ | == Uncertainty Quantification == | ||
+ | * Stochastic Collocation / gPC Methods for different simulation applications | ||
+ | * Sparse Grids in Uncertainty Quantification | ||
== Computational Fluid Dynamics == | == Computational Fluid Dynamics == | ||
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== Fields of Application in Simulation == | == Fields of Application in Simulation == | ||
+ | * Molecular dynamics | ||
+ | * Quantum chemistry | ||
+ | * CFD | ||
* Traffic | * Traffic | ||
* Computational Finance | * Computational Finance | ||
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− | |||
== Integration of Simulation Tasks == | == Integration of Simulation Tasks == | ||
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* Octree-based approaches | * Octree-based approaches | ||
+ | == Quantum Computing and Computational Physics == | ||
+ | https://www5.in.tum.de/~quanTUMcomputing/ | ||
[[Category:Research]] | [[Category:Research]] |
Latest revision as of 09:07, 9 October 2019
Contents
Efficient Numerical Algorithms
- High-dimensional numerics – Sparse Grids
- Fast iterative solvers – multi-level methods, preconditioners
- Adaptive, octree-based grid generation
- Space-filling curves
- Numerical linear algebra
- Numerical algorithms for image processing
Parallel & High-Performance Computing
- HW-aware numerical programming
- Parallelisation – MPI, OpenMP, hybrid; load balancing, scalability
- Grid Computing
Uncertainty Quantification
- Stochastic Collocation / gPC Methods for different simulation applications
- Sparse Grids in Uncertainty Quantification
Computational Fluid Dynamics
- Discretisation and algorithms on adaptive Cartesian grids
- Fluid-structure interaction
Fields of Application in Simulation
- Molecular dynamics
- Quantum chemistry
- CFD
- Traffic
- Computational Finance
Integration of Simulation Tasks
- Problem solving environments
- Octree-based approaches