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Author

Joshua Romero

Observed names: J. Romero, Josh Romero, Romero Joshua, Romero, Josh, Romero, Joshua, Romero, Joshua [NVIDIA, Santa Clara, CA]; Yin, Junqi [ORNL]; Laanait, Nouamane [ORNL]; Xie, Bing [ORNL]; Young, Todd [ORNL]; Treichler, Sean [NVIDIA Corporation]; Starchenko, Vitalii [ORNL]; Borisevich, Albina [ORNL]; Sergeev, Alexander [Uber Technologies]; Matheson, Michael [ORNL]
Observed institutions: Nvidia (United Kingdom), Lawrence Berkeley National Laboratory, University of California, San Francisco, Istituto per le Applicazioni del Calcolo Mauro Picone, Istituto Nazionale per l'Assicurazione Contro gli Infortuni sul Lavoro, Nvidia (United States), National Research Council, École Polytechnique Fédérale de Lausanne, Sapienza University of Rome, Texas A&M University, Stanford University
ORCID: 0000-0003-1358-5565
Observed ORCID: 0000-0003-1358-5565
OpenAlex ID: A5030832425
Exascale Deep Learning for Climate Analytics
2018 · Thorsten Kurth, Sean Treichler, et al. · International Conference for High Performance Computing, Networking, Storage and Analysis (SC) · 297
GenSLMs: Genome-scale language models reveal SARS-CoV-2 evolutionary dynamics
2023 · Maxim Zvyagin, Alexander Brace, et al. · The International Journal of High Performance Computing Applications · 133
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One-point statistics for turbulent pipe flow up to
2021 · Sergio Pirozzoli, Joshua Romero, et al. · Journal of Fluid Mechanics · 131
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AFiD-GPU: A versatile Navier–Stokes solver for wall-bounded turbulent flows on GPU clusters
2018 · Xiaojue Zhu, Everett Phillips, et al. · Computer Physics Communications · 120
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#COVIDisAirborne: AI-enabled multiscale computational microscopy of delta SARS-CoV-2 in a respiratory aerosol
2022 · Abigail Dommer, Lorenzo Casalino, et al. · The International Journal of High Performance Computing Applications · 112
Exascale deep learning for climate analytics
2018 · Thorsten Kurth, Sean Treichler, et al. · eScholarship (California Digital Library) · 72
FSEI-GPU: GPU accelerated simulations of the fluid–structure–electrophysiology interaction in the left heart
2021 · Francesco Viola, Vamsi Spandan, et al. · Computer Physics Communications · 54
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Highly-scalable, Physics-Informed GANs for Learning Solutions of Stochastic PDEs
2019 · Liu Yang, Sean Treichler, et al. · IEEE/ACM Workshop on Deep Learning on Supercomputers (DLS) · 49
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ZEFR: A GPU-accelerated high-order solver for compressible viscous flows using the flux reconstruction method
2020 · J. Romero, J. Crabill, et al. · Computer Physics Communications · 44
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A Simplified Formulation of the Flux Reconstruction Method
2015 · J. Romero, K. Asthana, et al. · Journal of Scientific Computing · 41
Verification and Validation of HiFiLES: a High-Order LES unstructured solver on multi-GPU platforms
2014 · Manuel R. López, Abhishek Sheshadri, et al. · AIAA Applied Aerodynamics Conference · 41
DNS of passive scalars in turbulent pipe flow
2022 · Sergio Pirozzoli, Joshua Romero, et al. · Journal of Fluid Mechanics · 38
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Exascale Deep Learning for Scientific Inverse Problems
2019 · Laanait, Nouamane, Romero, Joshua, et al. · arXiv (Cornell University) · 36
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Stable Machine‐Learning Parameterization of Subgrid Processes in a Comprehensive Atmospheric Model Learned From Embedded Convection‐Permitting Simulations
2025 · Zeyuan Hu, Akshay Subramaniam, et al. · Journal of Advances in Modeling Earth Systems · 34
High performance implementations of the 2D Ising model on GPUs
2020 · Joshua Romero, Mauro Bisson, et al. · Computer Physics Communications · 33
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DeepSpeed4Science Initiative: Enabling Large-Scale Scientific Discovery through Sophisticated AI System Technologies
2023 · Song, Shuaiwen Leon, Kruft, Bonnie, et al. · arXiv (Cornell University) · 26
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A Performance Study of Quantum ESPRESSO’s PWscf Code on Multi-core and GPU Systems
2017 · Joshua Romero, Everett Phillips, et al. · Lecture notes in computer science · 24
Exascale Deep Learning for Climate Analytics
2018 · Kurth, Thorsten, Treichler, Sean, et al. · arXiv (Cornell University) · 18
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Distributed-memory simulations of turbulent flows on modern GPU systems using an adaptive pencil decomposition library
2022 · Joshua Romero, Pedro Costa, et al. · Platform for Advanced Scientific Computing Conference (PASC) · 16
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Accelerating Collective Communication in Data Parallel Training across Deep Learning Frameworks
2023 · Romero, Joshua [NVIDIA, Santa Clara, CA]; Yin, Junqi [ORNL]; Laanait, Nouamane [ORNL]; Xie, Bing [ORNL]; Young, Todd [ORNL]; Treichler, Sean [NVIDIA Corporation]; Starchenko, Vitalii [ORNL]; Borisevich, Albina [ORNL]; Sergeev, Alexander [Uber Technologies]; Matheson, Michael [ORNL] · OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information) · 15
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Multi-GPU, Implicit Time Stepping for High-order Methods on Unstructured Grids
2016 · Jerry E. Watkins, Joshua Romero, et al. · AIAA Fluid Dynamics Conference · 12
Extension of the Flux Reconstruction Method to Triangular Elements using Collapsed-Edge Quadrilaterals
2016 · Joshua Romero, Antony Jameson · AIAA Aerospace Sciences Meeting · 12
A Direct Flux Reconstruction Scheme for Advection–Diffusion Problems on Triangular Grids
2017 · J. Romero, F. D. Witherden, et al. · Journal of Scientific Computing · 10
Direct numerical simulations of turbulent pipe flow at high Reynolds number
2022 · A. Ceci, S. Pirozzoli, et al. · Physical Review Fluids · 8
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Scaling Resolution of Gigapixel Whole Slide Images Using Spatial Decomposition on Convolutional Neural Networks
2023 · Aristeidis Tsaris, Josh Romero, et al. · Platform for Advanced Scientific Computing Conference (PASC) · 5
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Works count: 41
Citation count: 1,393
H-index: 18
I10-index: 23
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