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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, и P. Giannozzi. PMBS@SC, том 10724 из Lecture Notes in Computer Science, стр. 67-87. Springer, (2017)

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Joshua Migdal

Joshua Sempebwa

Joshua Cordes

Joshua Amavi

Philipp Romero

Funktionelle und klinische Relevanz von Mutationen des Calcium-Sensing-ReceptorsP. Romero. Uni Marburg, (2009)

Другие публикации лиц с тем же именем

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, и P. Giannozzi. PMBS@SC, том 10724 из Lecture Notes in Computer Science, стр. 67-87. Springer, (2017)Scaling Resolution of Gigapixel Whole Slide Images Using Spatial Decomposition on Convolutional Neural Networks.A. Tsaris, J. Romero, T. Kurth, J. Hinkle, H. Yoon, F. Wang, S. Dash, и G. Tourassi. PASC, стр. 2:1-2:11. ACM, (2023)Distributed-memory simulations of turbulent flows on modern GPU systems using an adaptive pencil decomposition library.J. Romero, P. Costa, и M. Fatica. PASC, стр. 14:1-14:11. ACM, (2022)Accelerating Collective Communication in Data Parallel Training across Deep Learning Frameworks.J. Romero, J. Yin, N. Laanait, B. Xie, M. Young, S. Treichler, V. Starchenko, A. Borisevich, A. Sergeev, и M. Matheson. NSDI, стр. 1027-1040. USENIX Association, (2022)CAR: Computerized Assistant Referee for Determining the Offside Rule in Soccer by Using Computer Vision.J. Escobar, J. Romero, O. Matamoros, и R. Padilla. IntelliSys (2), том 869 из Advances in Intelligent Systems and Computing, стр. 521-542. Springer, (2018)Clinical validation of rapid GPU-enabled DTI tractography of the brain.F. Liu, V. Sankaranarayanan, J. Villanueva-Meyer, S. Hervey-Jumper, J. Hawkins, P. Damasceno, M. Bisson, J. Romero, T. Kurth, M. Fatica и 4 other автор(ы). High Performance Computing for Imaging, стр. 1-4. Society for Imaging Science and Technology, (2023)Exascale deep learning for climate analytics.T. Kurth, S. Treichler, J. Romero, M. Mudigonda, N. Luehr, E. Phillips, A. Mahesh, M. Matheson, J. Deslippe, M. Fatica и 2 other автор(ы). SC, стр. 51:1-51:12. IEEE / ACM, (2018)Highly-Ccalable, Physics-Informed GANs for Learning Solutions of Stochastic PDEs.L. Yang, Prabhat, G. Karniadakis, S. Treichler, T. Kurth, K. Fischer, D. Barajas-Solano, J. Romero, V. Churavy, A. Tartakovsky и 1 other автор(ы). DLS@SC, стр. 1-11. IEEE, (2019)Asistente computarizado para la determinación de la regla del fuera de lugar en el fútbol soccer.J. Escobar, J. Romero-Tapia, и O. Matamoros. Res. Comput. Sci., 147 (12): 69-80 (2018)

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