In this work, we introduce the novel application of the adaptive mesh
re...
The objective of this study is to assess the capability of convolution-b...
We present our approach to making direct numerical simulations of turbul...
The success of recurrent neural networks (RNNs) has been demonstrated in...
We present new results on the strong parallel scaling for the
OpenACC-ac...
The impending termination of Moore's law motivates the search for new fo...
Physics-informed neural networks (PINNs) are successful machine-learning...
Recent trends and advancement in including more diverse and heterogeneou...
Improvements in computer systems have historically relied on two well-kn...
In the CFD solver Nek5000, the computation is dominated by the evaluatio...
In this paper, the prediction capabilities of recurrent neural networks ...