3 papers
cs.DC2025
Multi-Resolution Model Fusion for Accelerating the Convolutional Neural Network Training
Kewei Wang, Claire Songhyun Lee, Sunwoo Lee +8
Neural networks are rapidly gaining popularity in scientific research, but training the models is often very time-consuming. Particularly when the training data samples are large h…
cs.DC2025
Parallel Data Object Creation: Towards Scalable Metadata Management in High-Performance I/O Library
Youjia Li, Robert Latham, Robert Ross +3
High-level I/O libraries, such as HDF5 and PnetCDF, are commonly used by large-scale scientific applications to perform I/O tasks in parallel. These I/O libraries store the metadat…
physics.data-an2024
Graph Neural Network for Neutrino Physics Event Reconstruction
V Hewes, Adam Aurisano, Giuseppe Cerati +6
Liquid Argon Time Projection Chamber (LArTPC) detector technology offers a wealth of high-resolution information on particle interactions, and leveraging that information to its fu…