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Joshua Romero
Joshua Romero
Bestätigte E-Mail-Adresse bei nvidia.com
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Zitiert von
Zitiert von
Jahr
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
3242018
One-point statistics for turbulent pipe flow up to
S Pirozzoli, J Romero, M Fatica, R Verzicco, P Orlandi
Journal of fluid mechanics 926, A28, 2021
942021
AFiD-GPU: a versatile Navier–Stokes solver for wall-bounded turbulent flows on GPU clusters
X Zhu, E Phillips, V Spandan, J Donners, G Ruetsch, J Romero, ...
Computer physics communications 229, 199-210, 2018
942018
# COVIDisAirborne: AI-enabled multiscale computational microscopy of delta SARS-CoV-2 in a respiratory aerosol
A Dommer, L Casalino, F Kearns, M Rosenfeld, N Wauer, SH Ahn, ...
The international journal of high performance computing applications 37 (1 …, 2023
732023
GenSLMs: Genome-scale language models reveal SARS-CoV-2 evolutionary dynamics
M Zvyagin, A Brace, K Hippe, Y Deng, B Zhang, CO Bohorquez, A Clyde, ...
The International Journal of High Performance Computing Applications 37 (6 …, 2023
652023
Highly-scalable, physics-informed GANs for learning solutions of stochastic PDEs
L Yang, S Treichler, T Kurth, K Fischer, D Barajas-Solano, J Romero, ...
2019 IEEE/ACM Third Workshop on Deep Learning on Supercomputers (DLS), 1-11, 2019
552019
A simplified formulation of the flux reconstruction method
J Romero, K Asthana, A Jameson
Journal of Scientific Computing 67, 351-374, 2016
482016
FSEI-GPU: GPU accelerated simulations of the fluid–structure–electrophysiology interaction in the left heart
F Viola, V Spandan, V Meschini, J Romero, M Fatica, MD de Tullio, ...
Computer physics communications 273, 108248, 2022
342022
ZEFR: A GPU-accelerated high-order solver for compressible viscous flows using the flux reconstruction method
J Romero, J Crabill, JE Watkins, FD Witherden, A Jameson
Computer Physics Communications 250, 107169, 2020
332020
Exascale deep learning for scientific inverse problems
N Laanait, J Romero, J Yin, MT Young, S Treichler, V Starchenko, ...
arXiv preprint arXiv:1909.11150, 2019
332019
High performance implementations of the 2D Ising model on GPUs
J Romero, M Bisson, M Fatica, M Bernaschi
Computer Physics Communications 256, 107473, 2020
292020
Verification and validation of HiFiLES: A high-order LES unstructured solver on multi-GPU platforms
M Lopez-Morales, J Bull, J Crabill, TD Economon, D Manosalvas, ...
32nd AIAA applied aerodynamics conference, Atlanta, Georgia, USA, 16-20, 2014
282014
Verification and Validation of HiFiLES: a High-Order LES unstructured solver on multi-GPU platforms
MR López, A Sheshadri, JR Bull, TD Economon, J Romero, JE Watkins, ...
32nd AIAA applied aerodynamics conference, 3168, 2014
272014
DNS of passive scalars in turbulent pipe flow
S Pirozzoli, J Romero, M Fatica, R Verzicco, P Orlandi
Journal of Fluid Mechanics 940, A45, 2022
262022
A performance study of Quantum ESPRESSO’s PWscf code on multi-core and GPU systems
J Romero, E Phillips, G Ruetsch, M Fatica, F Spiga, P Giannozzi
High Performance Computing Systems. Performance Modeling, Benchmarking, and …, 2018
242018
Multi-GPU, implicit time stepping for high-order methods on unstructured grids
JE Watkins, J Romero, A Jameson
46th AIAA Fluid Dynamics Conference, 3965, 2016
222016
Accelerating collective communication in data parallel training across deep learning frameworks
J Romero, J Yin, N Laanait, B Xie, MT Young, S Treichler, V Starchenko, ...
19th USENIX Symposium on Networked Systems Design and Implementation (NSDI …, 2022
172022
A direct flux reconstruction scheme for advection–diffusion problems on triangular grids
J Romero, FD Witherden, A Jameson
Journal of Scientific Computing 73, 1115-1144, 2017
162017
Extension of the flux reconstruction method to triangular elements using collapsed-edge quadrilaterals
J Romero, A Jameson
54th AIAA Aerospace Sciences Meeting, 1825, 2016
122016
Prabhat, and M
T Kurth, S Treichler, J Romero, M Mudigonda, N Luehr, E Phillips, ...
Houston,“Exascale Deep Learning for Climate Analytics,” in Proceedings of …, 2018
102018
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