
Projekte
Hessische Wissenschaftlerinnen und Wissenschaftler unterschiedlichster Disziplinen benötigen Hochleistungsrechnen für ihre Forschung.
Hessische Wissenschaftlerinnen und Wissenschaftler unterschiedlichster Disziplinen benötigen Hochleistungsrechnen für ihre Forschung.
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The Nonparametric Off-Policy Policy Gradient (NOPG) is a policy gradient algorithm to solve reinforcement learning tasks ...
Field-Programmable Gate Arrays (FPGA) contain programmable logic elements that can accommodate application-specific ...
The aim of the project is to develop a new family of optimization algorithms to handle convex constraints and evaluate ...
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 ...
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 ...
G protein-coupled receptors (GPCRs) constitute a large family of membrane proteins which share a conserved structural ...
Future wireless communication systems are envisioned to meet stringent latency requirements to support control ...
Traditionally robots have been used in factories in predefined structured environments. Recently, robots are employed ...
In the present investigation, the Lichtenberg supercomputer was used for the numerical simulation of steady and ...
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 ...
Eine erfolgreiche Strahlentherapie mit hochenergetischer Photonen- oder Teilchenstrahlung impliziert eine möglichst ...
Im Rahmen der Veranstaltung „Grundlagen der Informatik III“ (regulär im 3. Semester Bachelor Informatik und verwandten ...
Traditionelle Linux High Performance Cluster (HPC) wie der Marburger Rechen-Cluster (MaRC2) basieren auf einem Verbund ...
In the last years, Graphics Processing Units (GPUs) have been increasingly used in many scientific applications. The ...
Today the majority of cancer radiation therapy treatments are performed at medical electron linear accelerators (linacs) ...
In den vergangenen Jahren wurde durch die Entwicklung neuer Techniken in der Strahlentherapie ein enormer Fortschritt ...
Reinforcement Learning [1] is a common approach for solving sequential decision problems. The basic idea is to view a ...
Most research on visual recognition focuses on objects, which are defined primarily by their shape. By contrast, fluids ...