Autonomous flying robots, such as multirotors, often rely on deep learni...
Autonomous flying robots, e.g. multirotors, often rely on a neural netwo...
Understanding and control of Laser-driven Free Electron Lasers remain to...
The upcoming exascale era will provide a new generation of physics
simul...
This paper assesses and reports the experience of ten teams working to
p...
HPC systems employ a growing variety of compute accelerators with differ...
Due to the recent announcement of the Frontier supercomputer, many scien...
This paper aims to create a transition path from file-based IO to
stream...
Normalizing flows are prominent deep generative models that provide trac...
The performance gap between CPU and memory widens continuously. Choosing...
Invertible neural networks are a recent technique in machine learning
pr...
In this work we propose a deep neural network based surrogate model for ...
Solving partial differential equations (PDE) is an indispensable part of...
We implement and benchmark parallel I/O methods for the fully-manycore d...
Porting applications to new hardware or programming models is a tedious ...