Projekte
Hessische Wissenschaftlerinnen und Wissenschaftler unterschiedlichster Disziplinen benötigen Hochleistungsrechnen für ihre Forschung.
Projekte
Kategorie
Jahr
Software
Universität
Cluster
Projekte
Displaying 61 - 90 of 93
When to Trust Your Model in Model-based Value Expansion?
Model-based value expansion methods promise to improve the quality of value function targets and, thereby, the ...
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 -
Intelligent Optimization Process Through Reinforcement Learning
Lighting, both natural and artificial, has become a part of our daily lives that have been taken for granted in modern ...
IngenieurwissenschaftenElektrotechnik und Informationstechnik -
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 
Decoding Concurrent IEEE 802.11 Transmissions with Imprecise Synchronization
Future wireless communication systems are envisioned to meet stringent latency requirements to support control ...
IngenieurwissenschaftenElektrotechnik und InformationstechnikInformatik-
Deep Reinforcement Learning under Uncertainty
Traditionally robots have been used in factories in predefined structured environments. Recently, robots are employed ...
IngenieurwissenschaftenInformatik 
Implementation of Soil Physics Into the Ampacity Rating of Energy Cable Systems
So far, the soil physic characterization of the bedding material is included only rudimentarily into the calculation of ...
IngenieurwissenschaftenElektrotechnik und Informationstechnik-
Optimization of Multi-Channel LED Spectra
Multichannel LED systems are a powerful tool to generate custom spectra, adaptable to the psychological and ...
IngenieurwissenschaftenElektrotechnik und Informationstechnik 
p3Enum: A Parallel, Parameterizable Open-Source Framework for Enumeration with Extreme Pruning
In our project, we investigate the hardness of various instances of the shortest vector problem (SVP) which are the ...
IngenieurwissenschaftenInformatik
Parallelizing the Level 2A Processor for Sentinel-2 Satellite Imagery
In June 2017, ESA started systematic Level 2A processing of Sentinel-2 acquisitions over Europe using the cloud ...
IngenieurwissenschaftenInformatik-
Performance Analysis of BoSSS Solver Package (Bachelor Thesis)
The Bounded Support Spectral Solver (BoSSS) is developed as a flexible solver package to enable research in (mostly) ...
IngenieurwissenschaftenInformatik -
Performance Analysis of BoSSS Solver Package
The Bounded Support Spectral Solver (BoSSS) is developed as a flexible solver package to enable research in (mostly) ...
IngenieurwissenschaftenInformatik 
Robot Skill Learning
The project investigated probabilistic motor skill learning for simulated robots. In detail the project looked into the ...
IngenieurwissenschaftenInformatik-
Tracking Type Information to Dynamically Find Type Related Bugs in MPI Applications
MUST, a dynamic MPI correctness checker, is extended with a type and memory allocation tracking sanitizer called TypeART ...
IngenieurwissenschaftenInformatik -
Automatische Hardwaresynthese für Löser von konvexen Optimierungsproblemen
Die konvexe Optimierung ist ein Teilgebiet der mathematischen Optimierung. Es gilt dabei eine bestimmte Größe ...
IngenieurwissenschaftenInformatik 
Grundlagen der Informatik III Lehre 2013/2014
Im Rahmen der Veranstaltung „Grundlagen der Informatik III“ (regulär im 3. Semester Bachelor Informatik und verwandten ...
IngenieurwissenschaftenInformatik
Management virtueller Maschinen in Linux High Performance Clustern
Traditionelle Linux High Performance Cluster (HPC) wie der Marburger Rechen-Cluster (MaRC2) basieren auf einem Verbund ...
NaturwissenschaftenMathematikIngenieurwissenschaftenInformatik
MATOG: Auto-Tuning On GPUs
In the last years, Graphics Processing Units (GPUs) have been increasingly used in many scientific applications. The ...
IngenieurwissenschaftenInformatik
Preference Based Reinforcement Learning
Reinforcement Learning [1] is a common approach for solving sequential decision problems. The basic idea is to view a ...
NaturwissenschaftenMathematikIngenieurwissenschaftenInformatik-
Untersuchungen zu PGAS-Systemen: Programmierbarkeit, Synchronisation, Taskpools und Fehlertoleranz
Die Verbreitung und zunehmende Größe von Parallelrechnern stellt die parallele Programmierung vor neue Herausforderungen ...
IngenieurwissenschaftenElektrotechnik und Informationstechnik
