What is he best known for?
The fields of study he is best known for:
- Operating system
- Algebra
- Thermodynamics
Ulrich Rüde mostly deals with Lattice Boltzmann methods, Computational science, Parallel computing, Mechanics and Scalability.
His Lattice Boltzmann methods research is multidisciplinary, incorporating elements of Parallel algorithm, Computational physics, Statistical physics and CPU cache.
The various areas that Ulrich Rüde examines in his Computational science study include Finite element method, Grid, Software framework, Multigrid method and Computation.
His Parallel computing study incorporates themes from x86 and Scaling.
His Free surface and Drag study in the realm of Mechanics connects with subjects such as Dispersity.
His Scalability research is multidisciplinary, incorporating perspectives in Solver and Massively parallel.
His most cited work include:
- Multiphysics simulations: Challenges and opportunities (193 citations)
- Lattice Boltzmann Model for Free Surface Flow for Modeling Foaming (187 citations)
- Cache Optimization for Structured and Unstructured Grid Multigrid (131 citations)
What are the main themes of his work throughout his whole career to date?
His scientific interests lie mostly in Lattice Boltzmann methods, Multigrid method, Parallel computing, Mechanics and Computational science.
His study looks at the intersection of Lattice Boltzmann methods and topics like Free surface with Volume of fluid method and HPP model.
The concepts of his Multigrid method study are interwoven with issues in Discretization, Mathematical optimization, Finite element method and Applied mathematics.
His studies deal with areas such as Scalability and Data structure as well as Parallel computing.
His Mechanics research incorporates elements of Classical mechanics and Rigid body dynamics.
His Computational science research integrates issues from Grid, Software framework, Solver and Massively parallel.
He most often published in these fields:
- Lattice Boltzmann methods (29.43%)
- Multigrid method (24.47%)
- Parallel computing (24.11%)
What were the highlights of his more recent work (between 2018-2021)?
- Supercomputer (14.54%)
- Scalability (13.83%)
- Lattice Boltzmann methods (29.43%)
In recent papers he was focusing on the following fields of study:
Ulrich Rüde mainly focuses on Supercomputer, Scalability, Lattice Boltzmann methods, Massively parallel and Applied mathematics.
His Exascale computing study in the realm of Supercomputer interacts with subjects such as Mean time between failures.
His Scalability research incorporates themes from Discrete element method, Nanostructure, Parallel computing, Dissipation and Extensibility.
His Lattice Boltzmann methods research is included under the broader classification of Mechanics.
His research integrates issues of Scaling, Computational science and Code generation in his study of Massively parallel.
His Applied mathematics study combines topics in areas such as Matrix, Partial differential equation, Finite element method, Linear least squares and Discretization.
Between 2018 and 2021, his most popular works were:
- A scalable and extensible checkpointing scheme for massively parallel simulations (16 citations)
- waLBerla: A block-structured high-performance framework for multiphysics simulations (11 citations)
- Large-scale simulation of mantle convection based on a new matrix-free approach (11 citations)
In his most recent research, the most cited papers focused on:
- Operating system
- Thermodynamics
- Algebra
Ulrich Rüde mainly investigates Parallel computing, Scalability, Massively parallel, Supercomputer and Finite element method.
His work is dedicated to discovering how Parallel computing, Multiphysics are connected with Particulate flow, Dynamic load balancing and Workload and other disciplines.
Ulrich Rüde has included themes like Iterative method, Generalization and Computational science in his Scalability study.
As a member of one scientific family, Ulrich Rüde mostly works in the field of Computational science, focusing on Implementation and, on occasion, Stencil.
His work deals with themes such as Extensibility, Resilience, Rigid body dynamics, Scalable parallel algorithms and Scheme, which intersect with Massively parallel.
His Finite element method research includes themes of Multigrid method, Applied mathematics and Finite volume method.
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