2 papers
hep-ex2022
An Efficient, Scalable IO Framework for Sparse Data: larcv3
Corey Adams, Kazuhiro Terao, Marco Del Tutto +1
Neutrino physics is one of the fundamental areas of research into the origins and properties of the Universe. Many experimental neutrino projects use sophisticated detectors to obs…
cs.DC2019
Scaling Distributed Training of Flood-Filling Networks on HPC Infrastructure for Brain Mapping
Wushi Dong, Murat Keceli, Rafael Vescovi +9
Mapping all the neurons in the brain requires automatic reconstruction of entire cells from volume electron microscopy data. The flood-filling network (FFN) architecture has demons…