| CosmoFlow: Using deep learning to learn the universe at scale A Mathuriya, D Bard, P Mendygral, L Meadows, J Arnemann, L Shao, ... SC18: International Conference for High Performance Computing, Networking …, 2018 | 143 | 2018 |
| MHD simulations of active galactic nucleus jets in a dynamic galaxy cluster medium PJ Mendygral, TW Jones, K Dolag The Astrophysical Journal 750 (2), 166, 2012 | 93 | 2012 |
| Gpcnet: Designing a benchmark suite for inducing and measuring contention in hpc networks S Chunduri, T Groves, P Mendygral, B Austin, J Balma, K Kandalla, ... Proceedings of the International Conference for High Performance Computing …, 2019 | 54 | 2019 |
| Cosmic ray acceleration at perpendicular shocks in supernova remnants G Ferrand, RJ Danos, A Shalchi, S Safi-Harb, P Edmon, P Mendygral The Astrophysical Journal 792 (2), 133, 2014 | 51 | 2014 |
| Interactions between radio galaxies and cluster shocks. I. Jet axes aligned with shock normals C Nolting, TW Jones, BJ O’Neill, PJ Mendygral The Astrophysical Journal 876 (2), 154, 2019 | 41 | 2019 |
| WOMBAT: A scalable and high-performance astrophysical magnetohydrodynamics code PJ Mendygral, N Radcliffe, K Kandalla, D Porter, BJ O’Neill, C Nolting, ... The Astrophysical Journal Supplement Series 228 (2), 23, 2017 | 39 | 2017 |
| Using collisions of AGN outflows with ICM shocks as dynamical probes TW Jones, C Nolting, BJ O'Neill, PJ Mendygral Physics of Plasmas 24 (4), 2017 | 35 | 2017 |
| Evaluating the networking characteristics of the Cray XC‐40 Intel Knights Landing‐based Cori supercomputer at NERSC D Doerfler, B Austin, B Cook, J Deslippe, K Kandalla, P Mendygral Concurrency and Computation: Practice and Experience 30 (1), e4297, 2018 | 29 | 2018 |
| Synthetic observations of simulated active galactic nucleus jets: X-ray cavities PJ Mendygral, SM O'Neill, TW Jones The Astrophysical Journal 730 (2), 100, 2011 | 26 | 2011 |
| Characterizing the uncertainty in cluster magnetic fields derived from rotation measures AR Johnson, L Rudnick, TW Jones, PJ Mendygral, K Dolag The Astrophysical Journal 888 (2), 101, 2020 | 24 | 2020 |
| A fresh look at narrow-angle tail radio galaxy dynamics, evolution, and emissions BJ O’Neill, TW Jones, C Nolting, PJ Mendygral The Astrophysical Journal 884 (1), 12, 2019 | 24 | 2019 |
| TensorFlow at Scale: Performance and productivity analysis of distributed training with Horovod, MLSL, and Cray PE ML T Kurth, M Smorkalov, P Mendygral, S Sridharan, A Mathuriya Concurrency and Computation: Practice and Experience 31 (16), e4989, 2019 | 23 | 2019 |
| Simulated Interactions between Radio Galaxies and Cluster Shocks. II. Jet Axes Orthogonal to Shock Normals C Nolting, TW Jones, BJ O’Neill, PJ Mendygral The Astrophysical Journal 885 (1), 80, 2019 | 19 | 2019 |
| Shocked Narrow-angle Tail Radio Galaxies: Simulations and Emissions BJ O’Neill, TW Jones, C Nolting, PJ Mendygral The Astrophysical Journal 887 (1), 26, 2019 | 15 | 2019 |
| Optimizing Cray MPI and SHMEM software stacks for Cray-XC supercomputers based on Intel KNL processors K Kandalla, P Mendygral, N Radcliffe, B Cernohous, D Knaak, ... Proceedings of, 1-10, 2016 | 13 | 2016 |
| X-Atlas: An Online Archive of Chandra's Stellar High-Energy Transmission Grating Observations OW Westbrook, NR Evans, SJ Wolk, VL Kashyap, JS Nichols, ... The Astrophysical Journal Supplement Series 176 (1), 218, 2008 | 9 | 2008 |
| Performance evaluation of adaptive routing on dragonfly-based production systems S Chunduri, K Harms, T Groves, P Mendygral, J Zarins, M Weiland, ... 2021 IEEE International Parallel and Distributed Processing Symposium (IPDPS …, 2021 | 8 | 2021 |
| Prabhat, and V A Mathuriya, D Bard, P Mendygral, L Meadows, J Arnemann, L Shao, ... Lee,“CosmoFlow: Using Deep Learning to Learn the Universe at Scale,” ArXiv e …, 2018 | 7 | 2018 |
| Prabhat, and V. Lee,“Cosmoflow: Using deep learning to learn the universe at scale,” A Mathuriya, D Bard, P Mendygral, L Meadows, J Arnemann, L Shao, ... Proceedings of the International Conference for High Performance Computing …, 0 | 7 | |
| Prabhat, and VW Lee,“ A Mathuriya, D Bard, P Mendygral, L Meadows, J Arnemann, L Shao, ... CosmoFlow: Using deep learning to learn the universe at scale,” in …, 2018 | 6 | 2018 |
