J. Gregory Pauloski

Convolutional Neural Network Training with Distributed K-FAC pdf

Ian T. Foster, Zhao Zhang, Weijia Xu, 2020, SC20: International Conference for High Performance Computing, Networking, Storage and Analysis.

AI- and HPC-enabled Lead Generation for SARS-CoV-2: Models and Processes to Extract Druglike Molecules Contained in Natural Language Text pdf

Kyle Chard, Ian Foster, J. Gregory Pauloski, 2021, ArXiv.

Aggregating Local Storage for Scalable Deep Learning I/O

Ian Foster, Lei Huang, J. Gregory Pauloski, 2019, 2019 IEEE/ACM Third Workshop on Deep Learning on Supercomputers (DLS).

Efficient I/O for Neural Network Training with Compressed Data

Lei Huang, J. Gregory Pauloski, Ian T. Foster, 2020, 2020 IEEE International Parallel and Distributed Processing Symposium (IPDPS).

Glioma Segmentation and a Simple Accurate Model for Overall Survival Prediction

J. Gregory Pauloski, David Fuentes, Dawid Schellingerhout, 2018, BrainLes@MICCAI.

KAISA: An Adaptive Second-Order Optimizer Framework for Deep Neural Networks

Kyle Chard, Shivaram Venkataraman, J. Gregory Pauloski, 2021, SC21: International Conference for High Performance Computing, Networking, Storage and Analysis.

Colmena: Scalable Machine-Learning-Based Steering of Ensemble Simulations for High Performance Computing

Rajeev Thakur, Kyle Chard, J. Gregory Pauloski, 2021, 2021 IEEE/ACM Workshop on Machine Learning in High Performance Computing Environments (MLHPC).