CosmoFlow: using deep learning to learn the universe at scale. - Amrita Mathuriya; Deborah Bard; Peter Mendygral; Lawrence Meadows; James Arnemann; Lei Shao; Siyu He; Tuomas Kärnä; Diana Moise; Simon J. Pennycook; Kristyn J. Maschhoff; Jason Sewall; et al. (SC, 2018)

Evaluating the networking characteristics of the Cray XC-40 Intel Knights Landing-based Cori supercomputer at NERSC. - Douglas Doerfler; Brian Austin; Brandon Cook 001; Jack Deslippe; Krishna Kandalla; Peter Mendygral (Concurr. Comput. Pract. Exp., 2018)

GPCNeT: designing a benchmark suite for inducing and measuring contention in HPC networks. - Sudheer Chunduri; Taylor L. Groves; Peter Mendygral; Brian Austin; Jacob Balma; Krishna Kandalla; Kalyan Kumaran; Glenn K. Lockwood; Scott Parker; Steven Warren; Nathan Wichmann; Nicholas J. Wright (SC, 2019)

TensorFlow at Scale: Performance and productivity analysis of distributed training with Horovod, MLSL, and Cray PE ML. - Thorsten Kurth; Mikhail Smorkalov; Peter Mendygral; Srinivas Sridharan 002; Amrita Mathuriya (Concurr. Comput. Pract. Exp., 2019)

Performance Evaluation of Adaptive Routing on Dragonfly-based Production Systems. - Sudheer Chunduri; Kevin Harms; Taylor L. Groves; Peter Mendygral; Justs Zarins; Michèle Weiland; Yasaman Ghadar (IPDPS, 2021)

WisdomWombat: A polyglot dataflow CFD code using Python and Dragon. - Julius Donnert; Lindsey Gordon; Christopher Nolting; Peter Mendygral (SC Workshops, 2023)

Dragon Proxy Runtimes and Multi-system Workflows. - Nick Radcliffe; Kent Lee; Pete Mendygral (SC Workshops, 2023)