Volumetric Segmentation via Neural Networks Improves Neutron Crystallography Data Analysis... Conference Paper May, 2019
Experiences porting mini-applications to OpenACC and OpenMP on heterogeneous systems... Conference Paper May, 2019
Deep Learning for Vertex Reconstruction of Neutrino-nucleus Interaction Events with Combined Energy and Time Data... Conference Paper May, 2019
thornado-transport: IMEX schemes for two-moment neutrino transport respecting Fermi-Dirac statistics... Conference Paper May, 2019
Analyzing the suitability of contemporary 3D-stacked PIM architectures for HPC scientific applications... Conference Paper April, 2019
Volumetric Data Exploration with Machine Learning-Aided Visualization in Neutron Science... Conference Paper April, 2019
Improved Accuracy for Automated Communication Pattern Characterization Using Communication Graphs and Aggressive Search Space... Conference Paper April, 2019
CAASCADE: A System for Static Analysis of HPC Software Application Portfolios... Conference Paper April, 2019