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Hessische Wissenschaftlerinnen und Wissenschaftler unterschiedlichster Disziplinen benötigen Hochleistungsrechnen für ihre Forschung.
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Displaying 1 - 28 of 28
Clang Code Refactor
When procuring an HPC system, the system need to fulfill certain criterias, regarding performance but also energy ...
IngenieurwissenschaftenInformatik
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
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-
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 ...
IngenieurwissenschaftenInformatik 
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 ...
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 -
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 ...
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 
Approximately Solving Mean Field Games via Entropy-Regularized Deep Reinforcement Learning
Reinforcement Learning (RL) has proven to be an empirically very successful approach to solving sequential decision ...
IngenieurwissenschaftenInformatik
Balloon Estimators for Improving and Scaling the Nonparametric Off-Policy Policy Gradient
The Nonparametric Off-Policy Policy Gradient (NOPG) is a policy gradient algorithm to solve reinforcement learning tasks ...
IngenieurwissenschaftenInformatik
Computationally-Intensive Subproblems in FPGA-Based Accelerator Design
Field-Programmable Gate Arrays (FPGA) contain programmable logic elements that can accommodate application-specific ...
IngenieurwissenschaftenInformatik-
Constraint Space Projection Reinforcement Learning
The aim of the project is to develop a new family of optimization algorithms to handle convex constraints and evaluate ...
IngenieurwissenschaftenInformatik 
Design-Space Exploration for FPGA-Accelerators in Cloud Environments
FPGA cards are increasingly deployed to cloud data centers and made available to users as platform for the ...
IngenieurwissenschaftenInformatik-
Evaluating and Improving Recurrent Kalman Networks
Precise models of the system dynamics are crucial for model-based control and reinforcement learning (RL) in autonomous ...
IngenieurwissenschaftenInformatik 
Interpretable Reinforcement Learning
Deep Reinforcement Learning can solve difficult high dimensional tasks, by exploiting the expressive representation ...
Engineering SciencesComputer Science-
Model Learning With Recurrent Kalman Networks
Recurrent State-space models (RSSMs) are highly expressive models for learning patterns in time series data and system ...
IngenieurwissenschaftenInformatik -
Multi-Label Rule Learning
This project aimed at solving multi-label classification problems using rule learning algorithms. Multi-label ...
IngenieurwissenschaftenInformatik 
Network Traffic Prediction with Neural Networks
The bursty nature of network traffic is one of the main reasons for congestion in data centers, since traffic loads are ...
IngenieurwissenschaftenInformatik
Parallelizing the Level 2A Processor for Sentinel-2 Satellite Imagery
In June 2017, the European Space Agency started systematic Level 2A processing of Sentinel- 2 acquisitions over Europe ...
IngenieurwissenschaftenInformatik-
Performance Modeling at a Discount
Identifying scalability bugs in parallel applications is a vital but also laborious and expensive task. Empirical ...
IngenieurwissenschaftenInformatik -
Stochastic Search for Applications in Robotics
Stochastic-search algorithms are problem independent algorithms well-suited for black-box optimization of an objective ...
IngenieurwissenschaftenInformatik
