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09/03/2022
Masked Sinogram Model with Transformer for ill-Posed Computed Tomography Reconstruction: a Preliminary Study
Computed Tomography (CT) is an imaging technique where information about...
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04/20/2022
fairDMS: Rapid Model Training by Data and Model Reuse
Extracting actionable information from data sources such as the Linac Co...
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11/22/2021
High-Performance Ptychographic Reconstruction with Federated Facilities
Beamlines at synchrotron light source facilities are powerful scientific...
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06/22/2021
BFTrainer: Low-Cost Training of Neural Networks on Unfillable Supercomputer Nodes
Supercomputer FCFS-based scheduling policies result in many transient id...
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03/24/2021
Towards Accommodating Real-time Jobs on HPC Platforms
Increasing data volumes in scientific experiments necessitate the use of...
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01/18/2021
Fast and accurate learned multiresolution dynamical downscaling for precipitation
This study develops a neural network-based approach for emulating high-r...
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09/07/2020
Design and Evaluation of a Simple Data Interface for Efficient Data Transfer Across Diverse Storage
Modern science and engineering computing environments often feature stor...
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08/18/2020
BraggNN: Fast X-ray Bragg Peak Analysis Using Deep Learning
X-ray diffraction based microscopy techniques such as high energy diffra...
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11/12/2019
Scientific Image Restoration Anywhere
The use of deep learning models within scientific experimental facilitie...
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10/09/2019
Deep Learning Accelerated Light Source Experiments
Experimental protocols at synchrotron light sources typically process an...
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02/20/2019