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 an ever-developing complex organ – it does so even during adult life, e.g., as a reaction to learning ...
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 ...
Within the last decade, deep neural networks have attracted much attention from academia and industry. Such a wide ...
Empirical performance modeling is a proven instrument to analyze the scaling behavior of HPC applications. Using a set ...
Identifying scalability bugs in parallel applications is a vital but also laborious and expensive task. Empirical ...
Spacecraft missions of the European Space Agency (ESA) are required to meet specific probabilistic requirements ...
Deep neural networks (DNNs) have gained extreme popularity in recent years, advancing state-of-the- art results in ...
