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Andrey Prokopenko
Andrey Prokopenko
Verifierad e-postadress på ornl.gov
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MueLu user’s guide 1.0 (Trilinos version 11.12)
A Prokopenko, J Hu, T Wiesner, C Siefert, R Tuminaro
Technical Report SAND2014-18874, Sandia National Laboratories, Albuquerque, NM, 2014
101*2014
Towards extreme-scale simulations for low mach fluids with second-generation trilinos
P Lin, M Bettencourt, S Domino, T Fisher, M Hoemmen, J Hu, E Phipps, ...
Parallel processing letters 24 (04), 1442005, 2014
422014
Ifpack2 User's Guide 1.0
A Prokopenko, C Siefert, JJ Hu, MF Hoemmen, AM Klinvex
Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2016
352016
MueLu multigrid framework
L Berger-Vergiat, CA Glusa, JJ Hu, M Mayr, A Prokopenko, CM Siefert, ...
URL http://trilinos. org/packages/muelu, 2019
27*2019
Automated Fortran–C++ Bindings for Large-Scale Scientific Applications
SR Johnson, A Prokopenko, KJ Evans
Computing in Science & Engineering 22 (5), 84-94, 2019
192019
ArborX: A Performance Portable Geometric Search Library
D Lebrun-Grandié, A Prokopenko, B Turcksin, SR Slattery
ACM Transactions on Mathematical Software (TOMS) 47 (1), 1-15, 2020
182020
Towards extreme-scale simulations with next-generation Trilinos: a low Mach fluid application case study
P Lin, M Bettencourt, S Domino, T Fisher, M Hoemmen, J Hu, E Phipps, ...
2014 IEEE International Parallel & Distributed Processing Symposium …, 2014
152014
A new multilevel algebraic preconditioner for the diffusion equation in heterogeneous media
Y Kuznetsov, A Prokopenko
Numerical Linear Algebra with Applications 17 (5), 759-769, 2010
82010
The MUELU tutorial
TA Wiesner, MW Gee, A Prokopenko, J Hu
Technical Report SAND2014-18624 R, Sandia National Laboratories, Albuquerque …, 2014
72014
Approximations with piecewise constant fluxes for diffusion equations on polyhedral meshes: algorithms and applications
O Boyarkin, E Kikinzon, YA Kuznetsov, A Prokopenko
Russian Journal of Numerical Analysis and Mathematical Modelling 27 (4), 339-368, 2012
62012
Fast tree-based algorithms for DBSCAN for low-dimensional data on GPUs
A Prokopenko, D Lebrun-Grandie, D Arndt
Proceedings of the 52nd International Conference on Parallel Processing, 503-512, 2023
5*2023
MueLu: Multigrid Framework for Advanced Architectures.
JJ Hu, A Prokopenko
Sandia National Lab.(SNL-CA), Livermore, CA (United States); Sandia National …, 2015
42015
An algebraic multigrid method for Q2Q1 mixed discretizations of the Navier–Stokes equations
A Prokopenko, RS Tuminaro
Numerical Linear Algebra with Applications 24 (6), e2109, 2017
32017
ForTrilinos Design Document
MT Young, SR Johnson, AV Prokopenko, KJ Evans, MA Heroux
Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States), 2017
32017
Toward Flexible Scalable Algebraic Multigrid Solvers.
RS Tuminaro, EG Boman, JJ Hu, A Prokopenko, C Siefert, PH Tsuji, ...
Sandia National Lab.(SNL-CA), Livermore, CA (United States); Sandia National …, 2013
32013
A single-tree algorithm to compute the Euclidean minimum spanning tree on GPUs
A Prokopenko, P Sao, D Lebrun-Grandié
Proceedings of the 51st International Conference on Parallel Processing, 1-10, 2022
22022
Documenting automated Fortran-C++ bindings with SWIG
A Prokopenko, M Bement, SR Johnson, K Evans
Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States), 2019
22019
Existing Fortran interfaces to Trilinos in preparation for exascale ForTrilinos development
K Evans, M Young, B Collins, S Johnson, A Prokopenko, M Heroux
Oak Ridge National Lab.(ORNL), Oak Ridge, TN (United States), 2017
22017
Latency and Bandwidth Microbenchmarks of US Department of Energy Systems in the June 2023 Top 500 List
CM Siefert, C Pearson, SL Olivier, A Prokopenko, J Hu, TJ Fuller
Proceedings of the SC'23 Workshops of The International Conference on High …, 2023
12023
ExaWind: Exascale Predictive Wind Plant Flow Physics Modeling.
M Sprague, S Ananthan, K Gruchalla, M Lawson, J Rood, K Swirydowicz, ...
Sandia National Lab.(SNL-NM), Albuquerque, NM (United States); Sandia …, 2019
12019
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