Error-controlled Progressive Retrieval of Scientific Data under Derivable Quantities of Interest Conference Paper November, 2024
A High-Quality Workflow for Multi-Resolution Scientific Data Reduction and Visualization... Conference Paper November, 2024
Integrating Quantum Computing with High-Performance Computing: A Streamlined Approach Conference Paper November, 2024
MDLoader: A Hybrid Model-Driven Data Loader for Distributed Graph Neural Network Training Conference Paper November, 2024
Impacts of floating-point non-associativity on reproducibility for HPC and deep learning applications Conference Paper November, 2024
IRIS-GNN: Leveraging Graph Neural Networks for Scheduling on Truly Heterogeneous Runtime Systems... Conference Paper November, 2024
Enhancing Power Distribution System Resilience with Fusion-GNN: A Dynamic Graph Representation Learning Approach Conference Paper November, 2024
Convolutional Variational Autoencoder-based Unsupervised Learning for Power Systems Faults Conference Paper November, 2024
