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Displaying 1 - 30 of 39
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 ...
IngenieurwissenschaftenMaterialwissenschaftInformatik
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 ...
IngenieurwissenschaftenInformatik
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 ...
IngenieurwissenschaftenInformatik
exaFOAM Performance Analysis and Modeling
The exaFOAM project [1] aims at overcoming the current limitations of Computational Fluid Dynamics (CFD) technology ...
IngenieurwissenschaftenInformatik-
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 ...
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 ...
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 ...
IngenieurwissenschaftenInformatik
Machine Learning Application in Automotive Catalysts
The computational resources of the Lichtenberg HPC were used in this project to train physics informed machine learning ...
NaturwissenschaftenChemische Festkörper- und Oberflächenforschung
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 ...
IngenieurwissenschaftenInformatik-
Tracing CPU/GPU-Hybrid Applications With Extrae
Starting from the initial project idea outlined in the project proposal, the research evolved significantly, branching ...
IngenieurwissenschaftenInformatik -
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 ...
IngenieurwissenschaftenInformatik -
Amortized Variational Inference by Policy Search
Variational inference with Gaussian mixture models (GMMs) can be used to learn highly tractable approximations of ...
IngenieurwissenschaftenInformatik 
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 ...
IngenieurwissenschaftenInformatik
Deep Implicit Collision Probability Fields
In robotic applications such as autonomous driving and whole-body control, ensuring safety is of utmost importance ...
IngenieurwissenschaftenInformatik
Deep Reinforcement Learning for Robotics
Robotics platforms can massively benefit from novel Deep Reinforcement Learning approaches. However, robotics have ...
IngenieurwissenschaftenInformatik
Detecting Suitcase Damages With Artificial Intelligence – IT-Project Lufthansa
Artificial intelligence is currently developing faster than ever and introduces many different possibilities. Our client ...
IngenieurwissenschaftenInformatik
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 ...
IngenieurwissenschaftenInformatik
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 ...
IngenieurwissenschaftenInformatik-
Gradient-Based Variational Inference by Policy Search
Many problems in machine learning involve inference from intractable distributions. For example, when learning latent ...
IngenieurwissenschaftenInformatik -
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 ...
IngenieurwissenschaftenInformatik 
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 ...
IngenieurwissenschaftenInformatik
Learning to Plan
Motion planning is a crucial component of autonomous robot systems. It addresses the problem of finding a feasible ...
Engineering SciencesComputer Science-
Neural Scene Understanding For Robotics
Autonomous robots need to be able to identify and recognize objects in a scene. For this crucial task we need to ...
IngenieurwissenschaftenInformatik 
Numerical Bounds on Few Body Sector-Lengths
Analyzing the correlation structure of quantum systems is central to understanding their behaviour. The notion of sector ...
NaturwissenschaftenTeilchen, Kerne und FelderIngenieurwissenschaftenInformatik
Performance Profiling Tools for Large-Scale Scientific Applications
The exaFOAM project (https://exafoam.eu) aims at overcoming the current limitations of Computational Fluid Dynamics (CFD ...
Engineering SciencesComputer Science
Policy Optimization with Learning and Planning in Continuous Spaces
Planning algorithms have shown impressive performance in many domains such as chess and Go. In particular, Monte Carlo ...
IngenieurwissenschaftenInformatik
