Projects
Hessian scientists of various disciplines are using High Performance Computers for their research.
Projects
Kategorie
Jahr
Software
Universität
Cluster
Projekte
Displaying 1 - 30 of 153
GPU-Accelerated Solution of Many Small ODE Systems for High-Temperature Component Lifetime Modeling
Predicting the lifetime of components designed for very high temperatures is crucial for improving the efficiency and ...
Engineering SciencesMaterials ScienceComputer Science
Practical Empirical Performance Modeling for CFD Applications using Extra-P
HPC applications can contain implicit performance bottlenecks, for example, due to caching or synchronization effects ...
IngenieurwissenschaftenInformatik-
Practical Empirical Performance Modeling for CFD Applications using Extra-P
HPC applications can contain implicit performance bottlenecks, for example, due to caching or synchronization effects ...
Engineering SciencesComputer Science 
Atomic Scale Modeling of Coherent Phase Transitions in Energy Storage Materials
Hydrogen has emerged as a crucial element in the pursuit of decarbonization and the transition to a sustainable energy ...
Engineering SciencesMaterials Science
Clang Code Refactor
When procuring an HPC system, the system need to fulfill certain criterias, regarding performance but also energy ...
Engineering SciencesComputer Science-
CompuGene Student Lab Protein Engineering
The field of protein engineering is a rapidly evolving area of research that holds great promise for numerous ...
Engineering SciencesComputer Science 
End-to-end Learning for Multi-Embodiement Locomotion
The rapid development of robotics has enabled legged robots capable of performing highly dynamic tasks such as walking ...
Engineering SciencesComputer Science
exaFOAM Performance Analysis and Modeling
The exaFOAM project [1] aims at overcoming the current limitations of Computational Fluid Dynamics (CFD) technology ...
Engineering SciencesComputer Science-
Fault Tolerance and Locality-Aware Work Stealing for Dynamically Generated Dependent Tasks on Clusters
Programming environments for today’s supercomputers must support the design of efficient programs and handle issues such ...
Engineering SciencesComputer Science -
Learning Force Distribution Estimation for the GelSight Mini Optical Tactile Sensor Based on Finite Element Analysis
Up-to-date contact-rich manipulation tasks remain one of the grand challenges of robotics. Equipping robots with a sense ...
IngenieurwissenschaftenInformatik -
Learning Force Distribution Estimation for the GelSight Mini Optical Tactile Sensor Based on Finite Element Analysis
Up-to-date contact-rich manipulation tasks remain one of the grand challenges of robotics. Equipping robots with a sense ...
Engineering SciencesComputer Science 
Learning Mean Field Games on Sparse Graphs
Learning the behavior of large agent populations is an important task for numerous research areas. Although the field of ...
Engineering SciencesComputer Science
Major-Minor Mean Field Multi-Agent Reinforcement Learning
Multi-agent reinforcement learning (MARL) remains difficult to scale to many agents. Recent MARL using Mean Field ...
Engineering SciencesComputer Science
Parameter-Efficient Tuning of Pretrained Visual-Language Models in Multitask Robot Learning
General-purpose intelligent robots are expected to simultaneously handle multiple tasks while interpreting various ...
Engineering SciencesComputer Science
Simulation of in-situ Alloying of High Entropy Alloys During Additive Manufacturing Using Molecular Dynamics
Laser powder bed fusion (LPBF) is an additive manufacturing technology involving a gradual build-on of layers to form a ...
Engineering SciencesMaterials Science-
Simulation Structural Plasticity II
The human brain is an ever-developing complex organ – it does so even during adult life, e.g., as a reaction to learning ...
Engineering SciencesComputer Science 
SpyFi: Deep Learning for CSI-based Keylogging Side Channel Attacks
During keyboard typing, hand and finger movements induce alterations in Wi-Fi signal propagation, reflected in Channel ...
Engineering SciencesComputer Science-
Tracing CPU/GPU-Hybrid Applications With Extrae
Starting from the initial project idea outlined in the project proposal, the research evolved significantly, branching ...
Engineering SciencesComputer Science -
Ultra-High-Dimensional Variable Selection in Genome-Wide Association Studies
This research project tackles the significant challenge of identifying genuine variables associated with diseases from ...
Engineering SciencesComputer Science 
Understanding the Detrimental Nature of Dislocations in Layered Cathode Active Materials II
Layered transition metal oxides, derived from the model system LiCoO2, are used as cathode materials in Li-ion batteries ...
Engineering SciencesMaterials Science-
Utilizing Mamba for Microorganism Protein Synthesis Prediction
This work aimed to apply deep learning, specifically Mamba, to the problem of codon optimisation in order to be able to ...
Engineering SciencesComputer Science -
Amortized Variational Inference by Policy Search
Variational inference with Gaussian mixture models (GMMs) can be used to learn highly tractable approximations of ...
Engineering SciencesComputer Science 
Compiler-Assisted Optimization and Modernization of MPI
In the realm of High-Performance Computing (HPC), the Message Passing Interface (MPI) has established itself as a ...
Engineering SciencesComputer Science
Cryptanalysis of SIDH Cryptosystem using Heterogeneous Hardware II
The project focuses on the cryptanalysis of the Supersingular Isogeny (SSI) path problem, which underlies the isogeny ...
Engineering SciencesComputer Science
CYWARN – Entwicklung von Strategien und Technologien zur Analyse und Kommunikation der Sicherheitslage im Cyberraum II
The increase in complex cyber-attacks illustrates the vulnerability of society and information infrastructure. In ...
Engineering SciencesComputer Science
Deep Implicit Collision Probability Fields
In robotic applications such as autonomous driving and whole-body control, ensuring safety is of utmost importance ...
Engineering SciencesComputer Science
Deep Reinforcement Learning for Robotics
Robotics platforms can massively benefit from novel Deep Reinforcement Learning approaches. However, robotics have ...
Engineering SciencesComputer Science
Deformation Phenomena in Metallic Glass/High Entropy Nanolaminates
The application of metallic glasses (MGs) is limited by their brittle behavior at room temperature [1]. In order to ...
Engineering SciencesMaterials Science
Detecting Suitcase Damages With Artificial Intelligence – IT-Project Lufthansa
Artificial intelligence is currently developing faster than ever and introduces many different possibilities. Our client ...
Engineering SciencesComputer Science
Development of Methods and Concepts for the Processing of Geodata for Detailed 3D City Models
Three-dimensional virtual city models play an increasingly important role in various fields, including digital city ...
Engineering SciencesComputer Science
