Composable Workflow for Accelerating Neural Architecture Search Using In Situ Analytics for Protein Classification

G Channing, R Patel, P Olaya, A Rorabaugh… - Proceedings of the …, 2023 - dl.acm.org
Neural architecture search (NAS), which automates the design of neural network (NN)
architectures for scientific datasets, requires significant computational resources and time …

A Methodology to Generate Efficient Neural Networks for Classification of Scientific Datasets

R Patel, AK Rorabaugh, P Olaya… - 2022 IEEE 18th …, 2022 - ieeexplore.ieee.org
Neural networks (NNs) are increasingly utilized in high-throughput scientific workflows. In
this context, NN efficiency is essential for successful workflow management. We use a multi …

High frequency accuracy and loss data of random neural networks trained on image datasets

AK Rorabaugh, S Caíno-Lores, T Johnston, M Taufer - Data in Brief, 2022 - Elsevier
Abstract Neural Networks (NNs) are increasingly used across scientific domains to extract
knowledge from experimental or computational data. An NN is composed of natural or …

Seismic Stability Assessment of Civil Building Projects Based on BIM Technology

R Zhao - International Conference on Innovative Computing, 2023 - Springer
Abstract Building Information Modelling (BIM) technology is in a rapid stage of development
in China. BIM technology is the use of computer information means to simulate information …

Identifying Structural Properties of Proteins from X-ray Free Electron Laser Diffraction Patterns

P Olaya, S Caíno-Lores, V Lama… - 2022 IEEE 18th …, 2022 - ieeexplore.ieee.org
Capturing structural information of a biological molecule is crucial to determine its function
and understand its mechanics. X-ray Free Electron Lasers (XFEL) are an experimental …

VINARCH: A Visual Analytics Interactive Tool for Neural Network Archaeology

S An, G Channing, C Schuman… - 2023 IEEE International …, 2023 - ieeexplore.ieee.org
Most neural networks (NNs) generated by neural architecture search (NAS) are discarded
except for the final output to limit the memory usage on high performance computing (HPC) …