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Peter Harrington
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Fourcastnet: A global data-driven high-resolution weather model using adaptive fourier neural operators
J Pathak, S Subramanian, P Harrington, S Raja, A Chattopadhyay, ...
arXiv preprint arXiv:2202.11214, 2022
3552022
Fourcastnet: Accelerating global high-resolution weather forecasting using adaptive fourier neural operators
T Kurth, S Subramanian, P Harrington, J Pathak, M Mardani, D Hall, ...
Proceedings of the platform for advanced scientific computing conference, 1-11, 2023
672023
The case for strong scaling in deep learning: Training large 3d cnns with hybrid parallelism
Y Oyama, N Maruyama, N Dryden, E McCarthy, P Harrington, J Balewski, ...
IEEE Transactions on Parallel and Distributed Systems 32 (7), 1641-1652, 2020
422020
Self-supervised representation learning for astronomical images
MA Hayat, G Stein, P Harrington, Z Lukić, M Mustafa
The Astrophysical Journal Letters 911 (2), L33, 2021
372021
Partial dust obscuration in active galactic nuclei as a cause of broad-line profile and lag variability, and apparent accretion disc inhomogeneities
CM Gaskell, PZ Harrington
Monthly Notices of the Royal Astronomical Society 478 (2), 1660-1669, 2018
372018
The Astrophysical Journal Letters, 911
MA Hayat, G Stein, P Harrington, Z Lukić, M Mustafa
L33, 2021
342021
Fourcastnet: A global data-driven high-resolution weather model using adaptive fourier neural operators, arXiv
J Pathak, S Subramanian, P Harrington, S Raja, A Chattopadhyay, ...
arXiv preprint arXiv:2202.11214, 2022
312022
Mining for strong gravitational lenses with self-supervised learning
G Stein, J Blaum, P Harrington, T Medan, Z Lukić
The Astrophysical Journal 932 (2), 107, 2022
292022
Enhanced mixing in magnetized fingering convection, and implications for red giant branch stars
PZ Harrington, P Garaud
The Astrophysical Journal Letters 870 (1), L5, 2019
242019
Towards foundation models for scientific machine learning: Characterizing scaling and transfer behavior
S Subramanian, P Harrington, K Keutzer, W Bhimji, D Morozov, ...
Advances in Neural Information Processing Systems 36, 2024
172024
Co-design center for exascale machine learning technologies (exalearn)
FJ Alexander, J Ang, JA Bilbrey, J Balewski, T Casey, R Chard, J Choi, ...
The International Journal of High Performance Computing Applications 35 (6 …, 2021
122021
FourCastNet: a global data-driven high-resolution weather model using adaptive Fourier neural operators (2022)
J Pathak, S Subramanian, P Harrington, S Raja, A Chattopadhyay, ...
URL https://arxiv. org/abs/2202.11214 2202, 0
12
Self-supervised similarity search for large scientific datasets
G Stein, P Harrington, J Blaum, T Medan, Z Lukic
arXiv preprint arXiv:2110.13151, 2021
102021
Diagnosing parallel I/O bottlenecks in HPC applications
P Harrington, W Yoo, A Sim, K Wu
International Conference for High Performance Computing Networking Storage …, 2017
92017
p. Hassanzadeh, K. Kashinath, and A. Anandkumar. Fourcastnet: A global data-driven high-resolution weather model using adaptive fourier neural operators
J Pathak, S Subramanian, P Harrington, S Raja, A Chattopadhyay, ...
arXiv preprint arXiv:2202.11214, 2022
82022
HyPhy: Deep generative conditional posterior mapping of hydrodynamical physics
B Horowitz, M Dornfest, Z Lukić, P Harrington
The Astrophysical Journal 941 (1), 42, 2022
72022
Fast, High-fidelity Lyα Forests with Convolutional Neural Networks
P Harrington, M Mustafa, M Dornfest, B Horowitz, Z Lukić
The Astrophysical Journal 929 (2), 160, 2022
72022
Estimating galactic distances from images using self-supervised representation learning
MA Hayat, P Harrington, G Stein, Z Lukić, M Mustafa
arXiv preprint arXiv:2101.04293, 2021
52021
FourCastNet: A Global Data-Driven High-Resolution Weather Model using Adaptive Fourier Neural Operators; 2022. doi: 10.48550
J Pathak, S Subramanian, P Harrington
arXiv preprint arXiv.2202.11214, 0
5
Generative modeling of high-resolution global precipitation forecasts
J Duncan, S Subramanian, P Harrington
arXiv preprint arXiv:2210.12504, 2022
42022
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