Difference between revisions of "Research Focus"

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= Efficient Numerical Algorithms =
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[[Image:Forschungsschwerpunkte.jpg]]
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== Efficient Numerical Algorithms ==
 
* High-dimensional numerics – Sparse Grids
 
* High-dimensional numerics – Sparse Grids
 
* Fast iterative solvers – multi-level methods, preconditioners
 
* Fast iterative solvers – multi-level methods, preconditioners
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* Numerical algorithms for image processing  
 
* Numerical algorithms for image processing  
  
= Parallel & High-Performance Computing =
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== Parallel & High-Performance Computing ==
 
* HW-aware numerical programming
 
* HW-aware numerical programming
 
* Parallelisation – MPI, OpenMP, hybrid; load balancing, scalability
 
* Parallelisation – MPI, OpenMP, hybrid; load balancing, scalability
 
* Grid Computing  
 
* Grid Computing  
  
= Computational Fluid Dynamics =
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== Uncertainty Quantification ==
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* Stochastic Collocation / gPC Methods for different simulation applications
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* Sparse Grids in Uncertainty Quantification
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== Computational Fluid Dynamics ==
 
* Discretisation and algorithms on adaptive Cartesian grids
 
* Discretisation and algorithms on adaptive Cartesian grids
 
* Fluid-structure interaction  
 
* Fluid-structure interaction  
  
= Fields of Application in Simulation =
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== Fields of Application in Simulation ==
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* Molecular dynamics
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* Quantum chemistry
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* CFD
 
* Traffic
 
* Traffic
 
* Computational Finance
 
* Computational Finance
* Molecular dynamics
 
* Quantum chemistry
 
  
= Integration of Simulation Tasks =
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== Integration of Simulation Tasks ==
 
* Problem solving environments
 
* Problem solving environments
 
* Octree-based approaches
 
* Octree-based approaches
  
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== Quantum Computing and Computational Physics ==
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https://www5.in.tum.de/~quanTUMcomputing/
  
 
[[Category:Research]]
 
[[Category:Research]]

Latest revision as of 08:07, 9 October 2019

Forschungsschwerpunkte.jpg

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

Quantum Computing and Computational Physics

https://www5.in.tum.de/~quanTUMcomputing/