Search Results - "Pflüger, Dirk"

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  1. 1

    Simulating stellar merger using HPX/Kokkos on A64FX on Supercomputer Fugaku by Diehl, Patrick, Daiß, Gregor, Huck, Kevin, Marcello, Dominic, Shiber, Sagiv, Kaiser, Hartmut, Pflüger, Dirk

    Published in The Journal of supercomputing (2024)
    “…The increasing availability of machines relying on non-GPU architectures, such as ARM A64FX in high-performance computing, provides a set of interesting…”
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    Heterogeneous Distributed Big Data Clustering on Sparse Grids by Pfander, David, Daiß, Gregor, Pflüger, Dirk

    Published in Algorithms (07-03-2019)
    “…Clustering is an important task in data mining that has become more challenging due to the ever-increasing size of available datasets. To cope with these big…”
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    Solving High-Dimensional Dynamic Portfolio Choice Models with Hierarchical B-Splines on Sparse Grids by Schober, Peter, Valentin, Julian, Pflüger, Dirk

    Published in Computational economics (01-01-2022)
    “…Discrete time dynamic programming to solve dynamic portfolio choice models has three immanent issues: firstly, the curse of dimensionality prohibits more than…”
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    Correction to: Solving High-Dimensional Dynamic Portfolio Choice Models with Hierarchical B-Splines on Sparse Grids by Schober, Peter, Valentin, Julian, Pflüger, Dirk

    Published in Computational economics (2022)
    “…The original publication has been updated. In the original publication of this article, under the Introduction heading section, the corrections to the second…”
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    Evaluation of pool-based testing approaches to enable population-wide screening for COVID-19 by de Wolff, Timo, Pflüger, Dirk, Rehme, Michael, Heuer, Janin, Bittner, Martin-Immanuel

    Published in PloS one (21-12-2020)
    “…Rapid testing is paramount during a pandemic to prevent continued viral spread and excess morbidity and mortality. This study investigates whether testing…”
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    A stable and mass-conserving sparse grid combination technique with biorthogonal hierarchical basis functions for kinetic simulations by Pollinger, Theresa, Rentrop, Johannes, Pflüger, Dirk, Kormann, Katharina

    Published in Journal of computational physics (15-10-2023)
    “…The exact numerical simulation of plasma turbulence is one of the assets and challenges in fusion research. For grid-based solvers, sufficiently fine…”
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    B-splines on sparse grids for surrogates in uncertainty quantification by Rehme, Michael F., Franzelin, Fabian, Pflüger, Dirk

    Published in Reliability engineering & system safety (01-05-2021)
    “…Robust prediction of the behavior of complex physical and engineering systems relies on approximating solutions in terms of physical and stochastic domains…”
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    Uncertainty Quantification for parameter estimation of an industrial electric motor using hierarchical Bayesian inversion by Rehme, Michael F., John, David N., Schick, Michael, Pflüger, Dirk

    Published in Mechatronics (Oxford) (01-06-2023)
    “…In this work, we employ hierarchical Bayesian inference to estimate aleatory parameter uncertainty of a “black-box” simulation model of an industrial electric…”
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    Effective or predatory funding? Evaluating the hidden costs of grant applications by Dresler, Martin, Buddeberg, Eva, Endesfelder, Ulrike, Haaker, Jan, Hof, Christian, Kretschmer, Robert, Pflüger, Dirk, Schmidt, Fabian

    Published in Immunology and cell biology (01-02-2023)
    “…Researchers are spending an increasing fraction of their time on applying for funding; however, the current funding system has considerable deficiencies in…”
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    Hydrodynamic simulations of white dwarf-white dwarf mergers and the origin of R Coronae Borealis stars by Shiber, Sagiv, De Marco, Orsola, Motl, Patrick M, Munson, Bradley, Marcello, Dominic C, Frank, Juhan, Diehl, Patrick, Clayton, Geoffrey C, Skinner, Bennett N, Kaiser, Hartmut, Daiß, Gregor, Pflüger, Dirk, Staff, Jan E

    “…Abstract We study the properties of double white dwarf (DWD) mergers by performing hydrodynamic simulations using the new and improved adaptive mesh refinement…”
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    Advancing blood glucose prediction with neural architecture search and deep reinforcement learning for type 1 diabetics by Domanski, Peter, Ray, Aritra, Lafata, Kyle, Firouzi, Farshad, Chakrabarty, Krishnendu, Pflüger, Dirk

    Published in Biocybernetics and biomedical engineering (01-07-2024)
    “…For individuals with Type-1 diabetes mellitus, accurate prediction of future blood glucose values is crucial to aid its regulation with insulin administration,…”
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    Comparison of data-driven uncertainty quantification methods for a carbon dioxide storage benchmark scenario by Köppel, Markus, Franzelin, Fabian, Kröker, Ilja, Oladyshkin, Sergey, Santin, Gabriele, Wittwar, Dominik, Barth, Andrea, Haasdonk, Bernard, Nowak, Wolfgang, Pflüger, Dirk, Rohde, Christian

    Published in Computational geosciences (01-04-2019)
    “…A variety of methods is available to quantify uncertainties arising within the modeling of flow and transport in carbon dioxide storage, but there is a lack of…”
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    Developing coarse-grained models for agglomerate growth by Smiljanic, Milena, Weeber, Rudolf, Pflüger, Dirk, Holm, Christian, Kronenburg, Andreas

    “…In this paper we present a coarse-graining (CG) approach for the agglomeration of nano-particles and clusters. In the current context, coarse-graining involves…”
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    Enabling unstructured domain decompositions for inhomogeneous short-range molecular dynamics in ESPResSo by Hirschmann, Steffen, Glass, Colin W., Pflüger, Dirk

    “…In short-range molecular dynamics (MD) simulations, inhomogeneous particle distributions that dynamically change over time require flexible load-balancing…”
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    Global communication schemes for the numerical solution of high-dimensional PDEs by Hupp, Philipp, Heene, Mario, Jacob, Riko, Pflüger, Dirk

    Published in Parallel computing (01-02-2016)
    “…•We study the global communication of the numerical solution of high-dimensional PDEs.•We design two optimal communication schemes for the sparse grid…”
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    Emerging Architectures Enable to Boost Massively Parallel Data Mining Using Adaptive Sparse Grids by Heinecke, Alexander, Pflüger, Dirk

    “…Gaining knowledge out of vast datasets is a main challenge in data-driven applications nowadays. Sparse grids provide a numerical method for both…”
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