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Nicholas Malaya
Nicholas Malaya
AMD Fellow, High Performance Computing
在 amd.com 的电子邮件经过验证 - 首页
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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
1642014
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
1492013
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
1442020
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
452014
About the Book
NS Schulz, NS Schulz
The Formation and Early Evolution of Stars: From Dust to Stars and Planets, 1-6, 2012
422012
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
392013
Theoretically based optimal large-eddy simulation
RD Moser, NP Malaya, H Chang, PS Zandonade, P Vedula, ...
Physics of Fluids 21 (10), 2009
392009
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
342011
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
222012
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
202021
Configuring computational elements for performing a training operation for a generative adversarial network
NP Malaya
US Patent 11,481,637, 2022
142022
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
112022
The parallel c++ statistical library for bayesian inference: Queso
D McDougall, N Malaya, RD Moser
arXiv preprint arXiv:1507.00398, 2015
112015
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
102020
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
92022
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
92019
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
82022
Artificial neural network reduction to reduce inference computation time
N Malaya
US Patent App. 15/638,993, 2019
82019
The QUESO Library, User's Manual
KC Estacio-Hiroms, EE Prudencio, NP Malaya, M Vohra, D McDougall
arXiv preprint arXiv:1611.07521, 2016
82016
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