Deep learning and process understanding for data-driven Earth system science M Reichstein, G Camps-Valls, B Stevens, M Jung, J Denzler, ... Nature 566 (7743), 195-204, 2019 | 1423 | 2019 |
Scalable bayesian optimization using deep neural networks J Snoek, O Rippel, K Swersky, R Kiros, N Satish, N Sundaram, M Patwary, ... International conference on machine learning, 2171-2180, 2015 | 834 | 2015 |
The effect of horizontal resolution on simulation quality in the C ommunity a tmospheric M odel, CAM 5.1 MF Wehner, KA Reed, F Li, J Bacmeister, CT Chen, C Paciorek, ... Journal of Advances in Modeling Earth Systems 6 (4), 980-997, 2014 | 213 | 2014 |
Exascale deep learning for climate analytics T Kurth, S Treichler, J Romero, M Mudigonda, N Luehr, E Phillips, ... SC18: International Conference for High Performance Computing, Networking …, 2018 | 201 | 2018 |
Exascale deep learning for climate analytics T Kurth, S Treichler, J Romero, M Mudigonda, N Luehr, E Phillips, ... SC18: International Conference for High Performance Computing, Networking …, 2018 | 201 | 2018 |
Exascale deep learning for climate analytics T Kurth, S Treichler, J Romero, M Mudigonda, N Luehr, E Phillips, ... SC18: International Conference for High Performance Computing, Networking …, 2018 | 201 | 2018 |
FastBit: interactively searching massive data K Wu, S Ahern, EW Bethel, J Chen, H Childs, E Cormier-Michel, ... Journal of Physics: Conference Series 180 (1), 012053, 2009 | 201 | 2009 |
Extremeweather: A large-scale climate dataset for semi-supervised detection, localization, and understanding of extreme weather events E Racah, C Beckham, T Maharaj, S Ebrahimi Kahou, M Prabhat, C Pal Advances in neural information processing systems 30, 2017 | 158 | 2017 |
A multiplatform study of I/O behavior on petascale supercomputers H Luu, M Winslett, W Gropp, R Ross, P Carns, K Harms, M Prabhat, ... Proceedings of the 24th International Symposium on High-Performance Parallel …, 2015 | 129 | 2015 |
Extreme scaling of production visualization software on diverse architectures H Childs, D Pugmire, S Ahern, B Whitlock, M Howison, GH Weber, ... IEEE Computer Graphics and Applications 30 (3), 22-31, 2010 | 126 | 2010 |
Taming parallel I/O complexity with auto-tuning B Behzad, HVT Luu, J Huchette, S Byna, R Aydt, Q Koziol, M Snir SC'13: Proceedings of the International Conference on High Performance …, 2013 | 123 | 2013 |
A comparative study of desktop, fishtank, and cave systems for the exploration of volume rendered confocal data sets A Forsberg, M Katzourin, K Wharton, M Slater IEEE Transactions on Visualization and Computer Graphics 14 (3), 551-563, 2008 | 104 | 2008 |
Resolution dependence of future tropical cyclone projections of CAM5. 1 in the US CLIVAR Hurricane Working Group idealized configurations M Wehner, KA Reed, D Stone, WD Collins, J Bacmeister Journal of Climate 28 (10), 3905-3925, 2015 | 103 | 2015 |
Parallel index and query for large scale data analysis J Chou, M Howison, B Austin, K Wu, J Qiang, EW Bethel, A Shoshani, ... Proceedings of 2011 international conference for high performance computing …, 2011 | 98 | 2011 |
Parallel I/O, analysis, and visualization of a trillion particle simulation S Byna, J Chou, O Rubel, H Karimabadi, WS Daughter, V Roytershteyn, ... SC'12: Proceedings of the International Conference on High Performance …, 2012 | 94 | 2012 |
The atmospheric river tracking method intercomparison project (ARTMIP): quantifying uncertainties in atmospheric river climatology JJ Rutz, CA Shields, JM Lora, AE Payne, B Guan, P Ullrich, T O’brien, ... Journal of Geophysical Research: Atmospheres 124 (24), 13777-13802, 2019 | 92 | 2019 |
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 | 87 | 2018 |
Deep learning at 15pf: supervised and semi-supervised classification for scientific data T Kurth, J Zhang, N Satish, E Racah, I Mitliagkas, MMA Patwary, T Malas, ... Proceedings of the International Conference for High Performance Computing …, 2017 | 80 | 2017 |
Accelerating science with the NERSC burst buffer early user program W Bhimji, D Bard, M Romanus, D Paul, A Ovsyannikov, B Friesen, ... | 75 | 2016 |
High performance multivariate visual data exploration for extremely large data O Rubel, K Wu, H Childs, J Meredith, CGR Geddes, E Cormier-Michel, ... SC'08: Proceedings of the 2008 ACM/IEEE conference on Supercomputing, 1-12, 2008 | 72 | 2008 |