Projects
Hessian scientists of various disciplines are using High Performance Computers for their research.
Projects
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Projekte
Displaying 1 - 30 of 45
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 
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 
Large-Scale Configuration Interaction for Ab Initio Nuclear Structure III
The prime goal of ab initio (hyper)nuclear structure theory is the description of correlated systems of many baryons ...
Natural SciencesParticles, Nuclei and Fields-
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-
Topological Susceptibility at High Temperatures from Lattice Quantum Chromodynamics II
Two unsolved problems in the standard model of particle physics are the strong CP-problem and the nature of dark matter ...
NaturwissenschaftenTeilchen, Kerne und Felder -
Topological Susceptibility at High Temperatures from Lattice Quantum Chromodynamics II
Two unsolved problems in the standard model of particle physics are the strong CP-problem and the nature of dark matter ...
Natural SciencesParticles, Nuclei and Fields -
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 -
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
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
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
Fully Open-Shell Medium-Mass Nuclei and Electromagnetic Observables for Ab Initio Nuclear Structure IV
The ab initio description of medium-mass nuclei is one of the most dynamic frontiers in nuclear structure theory. One ...
Natural SciencesParticles, Nuclei and Fields
Generation of Training Data for Hardware-Friendly Hash-Width Estimation
Hash functions play a vital role in modern computing. Their applications range from database queries, over storage of ...
Engineering SciencesComputer Science-
Gradient-Based Variational Inference by Policy Search
Many problems in machine learning involve inference from intractable distributions. For example, when learning latent ...
Engineering SciencesComputer Science -
Impact of Multipath-Effects on Acoustic Keylogging Systems
Acoustic keylogging describes a category of side-channel attacks that recover typed keystrokes from audio-streams of ...
Engineering SciencesComputer Science 
Improved Nuclear Energy-Density Functionals from Local Chiral-Effective-Field-Theory Interactions
Nuclear energy density functionals successfully reproduce properties of nuclei across almost the entire nuclear chart ...
Natural SciencesParticles, Nuclei and Fields
Investigating the Machine Learning-based Cryptanalysis of Lightweight Block Ciphers
Lightweight Cryptography is about developing and analyzing algorithms that provably obtain security goals, such as ...
Engineering SciencesComputer Science
Large-Scale Configuration Interaction for Ab Initio Nuclear Structure II
The prime goal of ab initio nuclear structure theory is the description of correlated systems of many nucleons based on ...
Natural SciencesParticles, Nuclei and Fields
