| A web services accessible database of turbulent channel flow and its use for testing a new integral wall model for LES J Graham, K Kanov, XIA Yang, M Lee, N Malaya, CC Lalescu, R Burns, ... Journal of Turbulence 17 (2), 181-215, 2016 | 232* | 2016 |
| Estimating uncertainties in statistics computed from direct numerical simulation TA Oliver, N Malaya, R Ulerich, RD Moser Physics of Fluids 26 (3), 2014 | 164 | 2014 |
| Petascale direct numerical simulation of turbulent channel flow on up to 786k cores M Lee, N Malaya, RD Moser Proceedings of the International Conference on High Performance Computing …, 2013 | 149 | 2013 |
| CFDNet: A deep learning-based accelerator for fluid simulations O Obiols-Sales, A Vishnu, N Malaya, A Chandramowliswharan Proceedings of the 34th ACM international conference on supercomputing, 1-12, 2020 | 144 | 2020 |
| Experiences from leadership computing in simulations of turbulent fluid flows M Lee, R Ulerich, N Malaya, RD Moser Computing in Science & Engineering 16 (5), 24-31, 2014 | 45 | 2014 |
| About the Book NS Schulz, NS Schulz The Formation and Early Evolution of Stars: From Dust to Stars and Planets, 1-6, 2012 | 42 | 2012 |
| MASA : a library for verification using manufactured and analytical solutions N Malaya, KC Estacio-Hiroms, RH Stogner, KW Schulz, PT Bauman, ... Engineering with Computers 29, 487-496, 2013 | 39 | 2013 |
| Theoretically based optimal large-eddy simulation RD Moser, NP Malaya, H Chang, PS Zandonade, P Vedula, ... Physics of Fluids 21 (10), 2009 | 39 | 2009 |
| Direct simulation of a zero-pressure-gradient turbulent boundary layer up to Reθ= 6650 J Sillero, J Jiménez, RD Moser, NP Malaya Journal of Physics: Conference Series 318 (2), 022023, 2011 | 34 | 2011 |
| Manufactured solutions for the Favre-averaged Navier-Stokes equations with eddy-viscosity turbulence models T Oliver, K Estacio-Hiroms, N Malaya, G Carey 50th AIAA Aerospace Sciences Meeting Including the New Horizons Forum and …, 2012 | 22 | 2012 |
| SURFNet: Super-resolution of turbulent flows with transfer learning using small datasets O Obiols-Sales, A Vishnu, NP Malaya, A Chandramowlishwaran 2021 30th International Conference on Parallel Architectures and Compilation …, 2021 | 20 | 2021 |
| Configuring computational elements for performing a training operation for a generative adversarial network NP Malaya US Patent 11,481,637, 2022 | 14 | 2022 |
| Dynamic, variable bit-width numerical precision on field-programmable gate arrays for machine learning tasks NP Malaya, EH Mednick US Patent 11,216,250, 2022 | 11 | 2022 |
| The parallel c++ statistical library for bayesian inference: Queso D McDougall, N Malaya, RD Moser arXiv preprint arXiv:1507.00398, 2015 | 11 | 2015 |
| Vandermonde wave function ansatz for improved variational Monte Carlo A Acevedo, M Curry, SH Joshi, B Leroux, N Malaya 2020 IEEE/ACM Fourth Workshop on Deep Learning on Supercomputers (DLS), 40-47, 2020 | 10 | 2020 |
| Evaluating GPU programming models for the LUMI supercomputer GS Markomanolis, A Alpay, J Young, M Klemm, N Malaya, A Esposito, ... Asian Conference on Supercomputing Frontiers, 79-101, 2022 | 9 | 2022 |
| Introduction to amd gpu programming with hip P Bauman, N Chalmers, N Curtis, C Freitag, J Greathouse, N Malaya, ... Presentation at Oak Ridge National Laboratory. Online at: https://www. olcf …, 2019 | 9 | 2019 |
| NUNet: Deep learning for non-uniform super-resolution of turbulent flows O Obiols-Sales, A Vishnu, N Malaya, A Chandramowlishwaran arXiv preprint arXiv:2203.14154, 2022 | 8 | 2022 |
| Artificial neural network reduction to reduce inference computation time N Malaya US Patent App. 15/638,993, 2019 | 8 | 2019 |
| The QUESO Library, User's Manual KC Estacio-Hiroms, EE Prudencio, NP Malaya, M Vohra, D McDougall arXiv preprint arXiv:1611.07521, 2016 | 8 | 2016 |
Robert D. MoserProfessor, Institute for Computational Engineering & Sciences, and Mechanical Engineering在 ices.utexas.edu 的电子邮件经过验证
