A Simplified Formulation of the Flux Reconstruction Method. - Joshua Romero; Kartikey Asthana; Antony Jameson (J. Sci. Comput., 2016)

A Performance Study of Quantum ESPRESSO's PWscf Code on Multi-core and GPU Systems. - Joshua Romero; Everett H. Phillips; Gregory Ruetsch; Massimiliano Fatica; Filippo Spiga; Paolo Giannozzi (PMBS@SC, 2017)

A Direct Flux Reconstruction Scheme for Advection-Diffusion Problems on Triangular Grids. - Joshua Romero; Freddie D. Witherden; Antony Jameson (J. Sci. Comput., 2017)

CAR: Computerized Assistant Referee for Determining the Offside Rule in Soccer by Using Computer Vision. - Jesús Jaime Moreno Escobar; Joshua Romero; Oswaldo Morales Matamoros; Ricardo Tejeida Padilla (IntelliSys (2), 2018)

Exascale deep learning for climate analytics. - Thorsten Kurth; Sean Treichler; Joshua Romero; Mayur Mudigonda; Nathan Luehr; Everett H. Phillips; Ankur Mahesh; Michael A. Matheson; Jack Deslippe; Massimiliano Fatica; Prabhat; Michael Houston (SC, 2018)

AFiD-GPU: A versatile Navier-Stokes solver for wall-bounded turbulent flows on GPU clusters. - Xiaojue Zhu; Everett H. Phillips; Vamsi Spandan; John Donners; Gregory Ruetsch; Joshua Romero; Rodolfo Ostilla Monico; Yantao Yang; Detlef Lohse; Roberto Verzicco; Massimiliano Fatica; Richard J. A. M. Stevens (Comput. Phys. Commun., 2018)

Highly-Ccalable, Physics-Informed GANs for Learning Solutions of Stochastic PDEs. - Liu Yang; Prabhat; George E. Karniadakis; Sean Treichler; Thorsten Kurth; Keno Fischer; David A. Barajas-Solano; Joshua Romero; Valentin Churavy; Alexandre M. Tartakovsky; Michael Houston (DLS@SC, 2019)

A Performance Study of the 2D Ising Model on GPUs. - Joshua Romero; Mauro Bisson; Massimiliano Fatica; Massimo Bernaschi (CoRR, 2019)

Exascale Deep Learning for Scientific Inverse Problems. - Nouamane Laanait; Joshua Romero; Junqi Yin; M. Todd Young; Sean Treichler; Vitalii Starchenko; Albina Y. Borisevich; Alex Sergeev; Michael A. Matheson (CoRR, 2019)

Highly-scalable, physics-informed GANs for learning solutions of stochastic PDEs. - Liu Yang; Sean Treichler; Thorsten Kurth; Keno Fischer; David A. Barajas-Solano; Joshua Romero; Valentin Churavy; Alexandre M. Tartakovsky; Michael Houston; Prabhat; George E. Karniadakis (CoRR, 2019)

High performance implementations of the 2D Ising model on GPUs. - Joshua Romero; Mauro Bisson; Massimiliano Fatica; Massimo Bernaschi (Comput. Phys. Commun., 2020)

ZEFR: A GPU-accelerated high-order solver for compressible viscous flows using the flux reconstruction method. - Joshua Romero; Jacob Crabill; Jerry Watkins; Freddie D. Witherden; Antony Jameson (Comput. Phys. Commun., 2020)

Accelerating Collective Communication in Data Parallel Training across Deep Learning Frameworks. - Joshua Romero; Junqi Yin; Nouamane Laanait; Bing Xie; M. Todd Young; Sean Treichler; Vitalii Starchenko; Albina Y. Borisevich; Alex Sergeev; Michael A. Matheson (NSDI, 2022)

Distributed-memory simulations of turbulent flows on modern GPU systems using an adaptive pencil decomposition library. - Joshua Romero; Pedro Costa 006; Massimiliano Fatica (PASC, 2022)

FSEI-GPU: GPU accelerated simulations of the fluid-structure-electrophysiology interaction in the left heart. - Francesco Viola; Vamsi Spandan; Valentina Meschini; Joshua Romero; Massimiliano Fatica; Marco D. de Tullio; Roberto Verzicco (Comput. Phys. Commun., 2022)

Clinical validation of rapid GPU-enabled DTI tractography of the brain. - Felix Liu; Vanitha Sankaranarayanan; Javier E. Villanueva-Meyer; Shawn Hervey-Jumper; James Hawkins; Pablo F. Damasceno; Mauro Bisson; Joshua Romero; Thorsten Kurth; Massimiliano Fatica; Eleftherios Garyfallidis; Ariel Rokem; et al. (High Performance Computing for Imaging, 2023)

Scaling Resolution of Gigapixel Whole Slide Images Using Spatial Decomposition on Convolutional Neural Networks. - Aristeidis Tsaris; Joshua Romero; Thorsten Kurth; Jacob D. Hinkle; Hong-Jun Yoon; Feiyi Wang; Sajal Dash; Georgia D. Tourassi (PASC, 2023)