3 code implementations • 6 Jun 2023 • Boris Bonev, Thorsten Kurth, Christian Hundt, Jaideep Pathak, Maximilian Baust, Karthik Kashinath, Anima Anandkumar
Fourier Neural Operators (FNOs) have proven to be an efficient and effective method for resolution-independent operator learning in a broad variety of application areas across scientific machine learning.
1 code implementation • 14 Jun 2021 • Robin Kobus, André Müller, Daniel Jünger, Christian Hundt, Bertil Schmidt
In the context of an ever-growing number of reference genomes, MetaCache-GPU is the first metagenomic classifier that makes analysis pipelines with on-demand composition of large-scale reference genome sets practical.
1 code implementation • 16 Sep 2020 • Daniel Jünger, Robin Kobus, André Müller, Christian Hundt, Kai Xu, Weiguo Liu, Bertil Schmidt
The rapidly growing amount of data emerging in many fields motivated the need for accelerated hash tables designed for modern parallel architectures.
Distributed, Parallel, and Cluster Computing
no code implementations • 14 Jun 2017 • Hinrich B Winther, Christian Hundt, Bertil Schmidt, Christoph Czerner, Johann Bauersachs, Frank Wacker, Jens Vogel-Claussen
Conclusions: Biventricular mass and function parameters can be determined reliably in high quality by applying a deep neural network for cardiac MRI segmentation, especially in the anatomically complex right ventricle.