Technische Universität Darmstadt
Department of Computer Science
Parallel Programming
Mornewegstraße 30
64293 Darmstadt
Predicting the lifetime of components designed for very high temperatures is crucial for improving the efficiency and ...
HPC applications can contain implicit performance bottlenecks, for example, due to caching or synchronization effects ...
HPC applications can contain implicit performance bottlenecks, for example, due to caching or synchronization effects ...
The human brain is a large structure (billions of neurons and orders of magnitude more synapses) that is not understood ...
With increasing system performance and complexity, it is becoming increasingly crucial to examine the scaling behavior ...
Typical HPC applications represent simulations of large scientific problems. Usually, these applications alternate ...
Within the last decade, deep neural networks have attracted much attention from academia and industry. Such a wide ...
Spacecraft missions of the European Space Agency (ESA) are required to meet specific probabilistic requirements ...
The LOEWE project Software Factory 4.0 (SF4.0) investigates innovative concepts, methods, and tools for an automated re ...
Deep neural networks (DNNs) have gained extreme popularity in recent years, advancing state-of-the- art results in ...
