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Found 5 papers, 2 papers with code
Fully-fused Multi-Layer Perceptrons on Intel Data Center GPUs
We compare our approach to a similar CUDA implementation for MLPs and show that our implementation on the Intel Data Center GPU outperforms the CUDA implementation on Nvidia's H100 GPU by a factor up to 2. 84 in inference and 1. 75 in training.
A coarse space acceleration of deep-DDM
We present an extension of this method that relies on the use of a coarse space correction, similarly to what is done in traditional DDM solvers.
Multilevel physics informed neural networks (MPINNs)
In this paper we introduce multilevel physics informed neural networks (MPINNs).
Latent Space Data Assimilation by using Deep Learning
Performing Data Assimilation (DA) at a low cost is of prime concern in Earth system modeling, particularly at the time of big data where huge quantities of observations are available.
Data Assimilation Networks
Data assimilation (DA) aims at forecasting the state of a dynamical system by combining a mathematical representation of the system with noisy observations taking into account their uncertainties.
