Projekte
Hessische Wissenschaftlerinnen und Wissenschaftler unterschiedlichster Disziplinen benötigen Hochleistungsrechnen für ihre Forschung.
Projekte
Kategorie
Jahr
Software
Universität
Cluster
Projekte
Displaying 1 - 11 of 11
CYWARN – Entwicklung von Strategien und Technologien zur Analyse und Kommunikation der Sicherheitslage im Cyberraum II
The increase in complex cyber-attacks illustrates the vulnerability of society and information infrastructure. In ...
IngenieurwissenschaftenInformatik
Structure Discrimination and Magnetic Properties of FeSnN with N =8–15
In the framework of the Collaborative Research Center (CRC 1487), iron is studied as a substitute for rare-earth metals ...
NaturwissenschaftenPhysikalische und Theoretische Chemie
CYWARN – Entwicklung von Strategien und Technologien zur Analyse und Kommunikation der Sicherheitslage im Cyberraum
The increase in complex cyber-attacks illustrates the vulnerability of society and information infrastructure. In ...
IngenieurwissenschaftenInformatik
Structure Discrimination of SnNGa with N = 9–15
Since semiconductors are fundamental for modern technologies, the research is focused on such materials and their ...
NaturwissenschaftenPhysikalische und Theoretische Chemie
Understanding and Exploiting an Iron Catalysed Route to New Chemical Synthons
The project focuses on an iron catalysed method to prepare unprecedented chemical synthons, developed in the group of Dr ...
NaturwissenschaftenPhysikalische und Theoretische Chemie
Noise Resilient Empirical Performance Modeling with Deep Neural Networks
Empirical performance modeling is a proven instrument to analyze the scaling behavior of HPC applications. Using a set ...
IngenieurwissenschaftenInformatik
Optical Spectroscopy, Dielectric Properties and Structure Discrimination of Sn+N (20≤N≤40) Clusters
Semiconductor materials are of great importance in the development of technological devices. In particular, the trend ...
NaturwissenschaftenPhysikalische und Theoretische Chemie-
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 
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-
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
