Articles with public access mandates - J. Gregory PauloskiLearn more
Available somewhere: 7
Colmena: Scalable machine-learning-based steering of ensemble simulations for high performance computing
L Ward, G Sivaraman, JG Pauloski, Y Babuji, R Chard, N Dandu, ...
2021 IEEE/ACM Workshop on Machine Learning in High Performance Computing …, 2021
Mandates: US National Science Foundation, US Department of Energy
Convolutional neural network training with distributed K-FAC
JG Pauloski, Z Zhang, L Huang, W Xu, IT Foster
SC20: International Conference for High Performance Computing, Networking …, 2020
Mandates: US National Science Foundation, US Department of Energy
KAISA: An Adaptive Second-Order Optimizer Framework for Deep Neural Networks
JG Pauloski, Q Huang, L Huang, S Venkataraman, K Chard, I Foster, ...
Proceedings of the International Conference for High Performance Computing …, 2021
Mandates: US National Science Foundation
Cloud services enable efficient ai-guided simulation workflows across heterogeneous resources
L Ward, JG Pauloski, V Hayot-Sasson, R Chard, Y Babuji, G Sivaraman, ...
2023 IEEE International Parallel and Distributed Processing Symposium …, 2023
Mandates: US National Science Foundation, US Department of Energy
Efficient I/O for Neural Network Training with Compressed Data
Z Zhang, L Huang, JG Pauloski, IT Foster
2020 IEEE International Parallel and Distributed Processing Symposium (IPDPS …, 2020
Mandates: US National Science Foundation, US Department of Energy
Deep Neural Network Training With Distributed K-FAC
JG Pauloski, L Huang, W Xu, K Chard, IT Foster, Z Zhang
IEEE Transactions on Parallel and Distributed Systems 33 (12), 3616-3627, 2022
Mandates: US National Science Foundation, US Department of Energy
Models and Processes to Extract Drug-like Molecules From Natural Language Text
Z Hong, JG Pauloski, L Ward, K Chard, B Blaiszik, I Foster
Frontiers in Molecular Biosciences 8, 636077, 2021
Mandates: US Department of Energy
Publication and funding information is determined automatically by a computer program