| 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 | 85* | 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 | 37 | 2014 |
| 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 | 31 | 2016 |
| MueLu multigrid framework L Berger-Vergiat, CA Glusa, JJ Hu, M Mayr, A Prokopenko, CM Siefert, ... URL http://trilinos. org/packages/muelu, 2019 | 26* | 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 | 16 | 2019 |
| 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 | 14 | 2014 |
| 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 | 13 | 2020 |
| The MUELU tutorial TA Wiesner, MW Gee, A Prokopenko, J Hu Technical Report SAND2014-18624 R, Sandia National Laboratories, Albuquerque …, 2014 | 7 | 2014 |
| 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 | 7 | 2010 |
| 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 | 6 | 2012 |
| Fast tree-based algorithms for DBSCAN on GPUs A Prokopenko, D Lebrun-Grandie, D Arndt arXiv preprint arXiv:2103.05162, 2021 | 3 | 2021 |
| 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 | 3 | 2013 |
| Documenting automated Fortran-C++ bindings with SWIG AV Prokopenko, SR Johnson, MT Bement Oak Ridge National Lab.(ORNL), Oak Ridge, TN (United States), 2019 | 2 | 2019 |
| An algebraic multigrid method for Q2−Q1 mixed discretizations of the Navier–Stokes equations A Prokopenko, RS Tuminaro Numerical Linear Algebra with Applications 24 (6), e2109, 2017 | 2 | 2017 |
| ForTrilinos Design Document MT Young, SR Johnson, AV Prokopenko, KJ Evans, MA Heroux Oak Ridge National Lab.(ORNL), Oak Ridge, TN (United States), 2017 | 2 | 2017 |
| 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 | 2 | 2017 |
| MueLu: Multigrid Framework for Advanced Architectures. JJ Hu, A Prokopenko Sandia National Lab.(SNL-CA), Livermore, CA (United States); Sandia National …, 2015 | 2 | 2015 |
| A single-tree algorithm to compute the Euclidean minimum spanning tree on GPUs A Prokopenko, P Sao, D Lebrun-Grandie Proceedings of the 51st International Conference on Parallel Processing, 1-10, 2022 | 1 | 2022 |
| 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 | 1 | 2019 |
| Performance of Scalable AMG-based Preconditioners for MHD and Multifluid Plasma Simulations. P Lin, JN Shadid, EG Phillips, JJ Hu, EC Cyr, RP Pawlowski, ... Sandia National Lab.(SNL-NM), Albuquerque, NM (United States); Sandia …, 2017 | 1 | 2017 |
