Tobias Neckel

Orcid: 0000-0002-3442-7171

Affiliations:
  • Technical University Munich, Germany


According to our database1, Tobias Neckel authored at least 27 papers between 2008 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

Online presence:

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Bibliography

2024
Multi-fidelity Gaussian process surrogate modeling for regression problems in physics.
CoRR, 2024

2023
Efficient and Scalable Kernel Matrix Approximations using Hierarchical Decomposition.
CoRR, 2023

Multi-fidelity No-U-Turn Sampling.
CoRR, 2023

2022
Data-driven low-fidelity models for multi-fidelity Monte Carlo sampling in plasma micro-turbulence analysis.
J. Comput. Phys., 2022

Context-aware learning of hierarchies of low-fidelity models for multi-fidelity uncertainty quantification.
CoRR, 2022

Neural Nets with a Newton Conjugate Gradient Method on Multiple GPUs.
Proceedings of the Parallel Processing and Applied Mathematics, 2022

2020
Multilevel Adaptive Sparse Leja Approximations for Bayesian Inverse Problems.
SIAM J. Sci. Comput., 2020

Sensitivity-driven adaptive sparse stochastic approximations in plasma microinstability analysis.
J. Comput. Phys., 2020

2019
Comparing Domain Decomposition Methods for the Parallelization of Distributed Land Surface Models.
Proceedings of the Computational Science - ICCS 2019, 2019

2018
Nonintrusive Uncertainty Analysis of Fluid-Structure Interaction with Spatially Adaptive Sparse Grids and Polynomial Chaos Expansion.
SIAM J. Sci. Comput., 2018

Non-standard pseudo random number generators revisited for GPUs.
Future Gener. Comput. Syst., 2018

2017
Block-structured grids in full velocity space for Eulerian gyrokinetic simulations.
Comput. Phys. Commun., 2017

2016
Evaluation of an Efficient Stack-RLE Clustering Concept for Dynamically Adaptive Grids.
SIAM J. Sci. Comput., 2016

Solving Random Ordinary Differential Equations on GPU Clusters using Multiple Levels of Parallelism.
SIAM J. Sci. Comput., 2016

Block-structured grids for Eulerian gyrokinetic simulations.
Comput. Phys. Commun., 2016

Modelling social identification and helping in evacuation simulation.
CoRR, 2016

2015
Invasive Compute Balancing for Applications with Shared and Hybrid Parallelization.
Int. J. Parallel Program., 2015

A runtime/memory trade-off of the continous Ziggurat method on GPUs.
Proceedings of the 2015 International Conference on High Performance Computing & Simulation, 2015

2014
GPU Optimization of Pseudo Random Number Generators for Random Ordinary Differential Equations.
Proceedings of the International Conference on Computational Science, 2014

Efficient Global Element Indexing for Parallel Adaptive Flow Solvers.
Proceedings of the International Conference on Computational Science, 2014

2013
Invasive Compute Balancing for Applications with Hybrid Parallelization.
Proceedings of the 25th International Symposium on Computer Architecture and High Performance Computing, 2013

2012
Towards a Navier Stokes-Darcy Upscaling Based on Permeability Tensor Computation.
Proceedings of the International Conference on Computational Science, 2012

Memory-Efficient Implementation of a Rigid-Body Molecular Dynamics Simulation.
Proceedings of the 11th International Symposium on Parallel and Distributed Computing, 2012

2010
A coupling environment for partitioned multiphysics simulations applied to fluid-structure interaction scenarios.
Proceedings of the International Conference on Computational Science, 2010

2009
The PDE Framework Peano: An Environment for Efficient Flow Simulations.
PhD thesis, 2009

Software engineering meets scientific computing: group projects in CSE education.
Int. J. Comput. Sci. Eng., 2009

2008
Numerical Simulation of Particle Transport in a Drift Ratchet.
SIAM J. Sci. Comput., 2008


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