A5068403289- Parallel Computing and Optimization Techniques
- Distributed and Parallel Computing Systems
- Advanced Data Storage Technologies
- Advanced Numerical Methods in Computational Mathematics
- Matrix Theory and Algorithms
- Computational Fluid Dynamics and Aerodynamics
- Probabilistic and Robust Engineering Design
- Lattice Boltzmann Simulation Studies
- Scientific Computing and Data Management
- Computer Graphics and Visualization Techniques
- Model Reduction and Neural Networks
- Simulation Techniques and Applications
- Electromagnetic Simulation and Numerical Methods
- Embedded Systems Design Techniques
- Advanced Multi-Objective Optimization Algorithms
- Distributed systems and fault tolerance
- Magnetic confinement fusion research
- Evacuation and Crowd Dynamics
- Numerical methods for differential equations
- Advanced Numerical Analysis Techniques
- Scientific Research and Discoveries
- Computational Geometry and Mesh Generation
- Neural Networks and Applications
- Cloud Computing and Resource Management
- Interconnection Networks and Systems
Technical University of Munich
2015-2024
Southern California University for Professional Studies
2023
University of Southern California
2023
University of Cambridge
2022
Universität Bayern
2021
Mississippi State University
2020
University College Cork
2020
Aix-Marseille Université
2020
Institute e-Austria Timisoara
2020
University of Stavanger
2020
We present a survey of the fundamentals and applications sparse grids, with focus on solution partial differential equations (PDEs). The grid approach, introduced in Zenger (1991), is based higher-dimensional multiscale basis, which derived from one-dimensional multi-scale basis by tensor product construction. Discretizations grids involve . That why are especially well-suited for problems very high dimensionality.The approach can be extended to nonsmooth solutions adaptive refinement...
This paper presents a new approach to construct more efficient reduced-order models for nonlinear partial differential equations with proper orthogonal decomposition and the discrete empirical interpolation method (DEIM). Whereas DEIM projects term onto one global subspace, our localized (LDEIM) computes several local subspaces, each tailored particular region of characteristic system behavior. Then, depending on current state system, LDEIM selects an appropriate subspace approximation term....
Materials science research is becoming increasingly data-driven, which requires more effort to manage, share, and publish data.NOMAD a web-based application that provides data management for materials data.In addition core functions like uploading sharing files, NOMAD allows entering structured using customizable forms providing the software with electronic laboratory notebook (ELN) functionalities.It automatically extracts rich meta-data from supported file formats, normalizes converts...
The molecular dynamics simulation code ls1 mardyn is presented. It a highly scalable code, optimized for massively parallel execution on supercomputing architectures and currently holds the world record largest with over four trillion particles. enables application of pair potentials to length time scales that were previously out scope simulation. With an efficient dynamic load balancing scheme, it delivers high scalability even challenging heterogeneous configurations. Presently,...
preCICE is a free/open-source coupling library. It enables creating partitioned multi-physics simulations by gluing together separate software packages. This paper summarizes the development efforts in of past five years. During this time span, we have turned from working prototype -- sophisticated numerical methods and scalability on ten thousands compute cores to sustainable user-friendly project with steadily-growing community. Today, know through forum discussions, conferences,...
ABSTRACT The purpose of this study was to develop and apply a quantitative optical method suitable for routine measurements biofilm structures under in situ conditions. A computer program designed perform automated investigations biofilms by using image acquisition analysis techniques. To obtain representative profile growing biofilm, nondestructive procedure created quantify undisturbed microbial populations within the physical environment glass flow cell. Key components computer-controlled...
Social scientists have criticised computer models of pedestrian streams for their treatment psychological crowds as mere aggregations individuals. Indeed most evacuation dynamics use analogies from physics where pedestrians are considered particles. Although this ensures that the results simulation match important physical phenomena, such deceleration crowd with increasing density, social phenomena group processes ignored. In particular, people in a identities and share those others crowd....
Significant improvements are presented for the molecular dynamics code ls1 mardyn — a linked cell-based simulating large number of small, rigid molecules with application areas in chemical engineering. The changes consist redesign SIMD vectorization via wrappers, MPI and software to allow memory-efficient execution production trunk increase portability extensibility. Two novel, OpenMP schemes force calculation presented, which able retain Newton’s third law optimization. Comparisons...
preCICE is a free/open-source coupling library. It enables creating partitioned multi-physics simulations by gluing together separate software packages. This paper summarizes the development efforts in of past five years. During this time span, we have turned from working prototype -- sophisticated numerical methods and scalability on ten thousands compute cores to sustainable user-friendly project with steadily-growing community. Today, know through forum discussions, conferences,...
Abstract One of the main challenges in surrogate modeling is limited availability data due to resource constraints associated with computationally expensive simulations. Multi-fidelity methods provide a solution by chaining models hierarchy increasing fidelity, lower error, but cost. In this paper, we compare different multi-fidelity employed constructing Gaussian process surrogates for regression. Non-linear autoregressive existing literature are primarily confined two-fidelity models, and...