U
Ulrich Rüde
Researcher at University of Erlangen-Nuremberg
Publications - 277
Citations - 6088
Ulrich Rüde is an academic researcher from University of Erlangen-Nuremberg. The author has contributed to research in topics: Lattice Boltzmann methods & Multigrid method. The author has an hindex of 40, co-authored 277 publications receiving 5330 citations. Previous affiliations of Ulrich Rüde include Augsburg College & University of Augsburg.
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Journal ArticleDOI
Multiphysics simulations: Challenges and opportunities
David E. Keyes,Lois Curfman McInnes,Carol S. Woodward,William Gropp,Eric Myra,Michael Pernice,John B. Bell,Jed Brown,Alain Clo,Jeffrey M. Connors,Emil M. Constantinescu,Donald Estep,Katherine J. Evans,Charbel Farhat,Ammar Hakim,Glenn E. Hammond,Glen A. Hansen,Judith Hill,Tobin Isaac,Xiangmin Jiao,Kirk E. Jordan,Dinesh K. Kaushik,Efthimios Kaxiras,Alice Koniges,Kihwan Lee,P. Aaron Lott,Qiming Lu,John H. Magerlein,Reed M. Maxwell,Michael McCourt,Miriam Mehl,Roger P. Pawlowski,Amanda Randles,Daniel R. Reynolds,Béatrice Rivière,Ulrich Rüde,Timothy D. Scheibe,John N. Shadid,Brendan Sheehan,Mark S. Shephard,Andrew R. Siegel,Barry Smith,Xian-Zhu Tang,Cian R. Wilson,Barbara Wohlmuth +44 more
TL;DR: This study considers multiphysics applications from algorithmic and architectural perspectives, where “algorithmic” includes both mathematical analysis and computational complexity, and “architectural’ includes both software and hardware environments.
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Lattice Boltzmann Model for Free Surface Flow for Modeling Foaming
TL;DR: This work presents a 2D- and 3D-lattice Boltzmann model for the treatment of free surface flows including gas diffusion, which approximates fluid dynamic boundary conditions by using the mass and momentum fluxes across the interface which do not require explicit calculation of gradients.
Journal Article
Cache Optimization for Structured and Unstructured Grid Multigrid
TL;DR: In this paper, suitable blocking strategies for both structured and unstructured grids will be introduced to improve the cache usage without changing the underlying algorithm.
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Optimization and profiling of the cache performance of parallel lattice boltzmann codes
TL;DR: In this paper, the authors present techniques to enhance the single-CPU efficiency of lattice Boltzmann methods, which are commonly used in computational fluid dynamics, and show various performance results for both 2D and 3D codes in order to emphasize the effectiveness of their optimization.
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WaLBerla: HPC software design for computational engineering simulations
TL;DR: The software designs realizing the major goal of the WaLBerla framework, a good balance between expandability and scalable, highly optimized, hardware-dependent, special purpose kernels, are described.