
Projects
Hessian scientists of various disciplines are using High Performance Computers for their research.
Hessian scientists of various disciplines are using High Performance Computers for their research.
Displaying 31 - 54 of 54
FPGA cards are increasingly deployed to cloud data centers and made available to users as platform for the ...
Precise models of the system dynamics are crucial for model-based control and reinforcement learning (RL) in autonomous ...
Deep Reinforcement Learning can solve difficult high dimensional tasks, by exploiting the expressive representation ...
Recurrent State-space models (RSSMs) are highly expressive models for learning patterns in time series data and system ...
This project aimed at solving multi-label classification problems using rule learning algorithms. Multi-label ...
The bursty nature of network traffic is one of the main reasons for congestion in data centers, since traffic loads are ...
In June 2017, the European Space Agency started systematic Level 2A processing of Sentinel- 2 acquisitions over Europe ...
Identifying scalability bugs in parallel applications is a vital but also laborious and expensive task. Empirical ...
Stochastic-search algorithms are problem independent algorithms well-suited for black-box optimization of an objective ...
Spacecraft missions of the European Space Agency (ESA) are required to meet specific probabilistic requirements ...
Future wireless communication systems are envisioned to meet stringent latency requirements to support control ...
In our project, we investigate the hardness of various instances of the shortest vector problem (SVP) which are the ...
In June 2017, ESA started systematic Level 2A processing of Sentinel-2 acquisitions over Europe using the cloud ...
The Bounded Support Spectral Solver (BoSSS) is developed as a flexible solver package to enable research in (mostly) ...
The Bounded Support Spectral Solver (BoSSS) is developed as a flexible solver package to enable research in (mostly) ...
The project investigated probabilistic motor skill learning for simulated robots. In detail the project looked into the ...
MUST, a dynamic MPI correctness checker, is extended with a type and memory allocation tracking sanitizer called TypeART ...
Die konvexe Optimierung ist ein Teilgebiet der mathematischen Optimierung. Es gilt dabei eine bestimmte Größe ...
Im Rahmen der Veranstaltung „Grundlagen der Informatik III“ (regulär im 3. Semester Bachelor Informatik und verwandten ...
In the last years, Graphics Processing Units (GPUs) have been increasingly used in many scientific applications. The ...
Reinforcement Learning [1] is a common approach for solving sequential decision problems. The basic idea is to view a ...
The rational design and engineering of biomolecules can be support quite often by in silico investigations leveraging ...
In light of the complexity and diversity of current HPC platforms, programmers need to understand application execution ...
Deep neural networks (DNNs) have gained extreme popularity in recent years, advancing state-of-the- art results in ...