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07/22/2022
Scalable training of graph convolutional neural networks for fast and accurate predictions of HOMO-LUMO gap in molecules
Graph Convolutional Neural Network (GCNN) is a popular class of deep lea...
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02/04/2022
Multi-task graph neural networks for simultaneous prediction of global and atomic properties in ferromagnetic systems
We introduce a multi-tasking graph convolutional neural network, HydraGN...
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05/26/2021
Scalable Multigrid-based Hierarchical Scientific Data Refactoring on GPUs
Rapid growth in scientific data and a widening gap between computational...
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08/31/2020
Chimbuko: A Workflow-Level Scalable Performance Trace Analysis Tool
Because of the limits input/output systems currently impose on high-perf...
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06/01/2017