Publications

Tuminaro, Raymond S.; Boman, Erik G.; Hu, Jonathan J.; Prokopenko, Andrey V.; Siefert, Christopher S.; Tsuji, Paul H.

Abstract not provided.

Tuminaro, Raymond S.; Siefert, Christopher S.; Hu, Jonathan J.; Gaidamour, Jeremie G.

This talk highlights some multigrid challenges that arise from several application areas including structural dynamics, fluid flow, and electromagnetics. A general framework is presented to help introduce and understand algebraic multigrid methods based on energy minimization concepts. Connections between algebraic multigrid prolongators and finite element basis functions are made to explored. It is shown how the general algebraic multigrid framework allows one to adapt multigrid ideas to a number of different situations. Examples are given corresponding to linear elasticity and specifically in the solution of linear systems associated with extended finite elements for fracture problems.

Tuminaro, Raymond S.; Cyr, Eric C.; Shadid, John N.; Noble, David R.; Berger-Vergiat, Luc B.; Hu, Jonathan J.; Prokopenko, Andrey P.; Siefert, Christopher S.; Wiesner, Tobias A.; Perego, Mauro P.; Salinger, Andrew G.; Kalashnikova, Irina; Price, Stephen F.

Abstract not provided.

Siefert, Christopher S.; Hu, Jonathan J.; Roberts, Nathan V.

Abstract not provided.

Parallel Processing Letters

Lin, Paul L.; Bettencourt, Matthew T.; Domino, Stefan P.; Fisher, Travis C.; Hoemmen, Mark F.; Hu, Jonathan J.; Phipps, Eric T.; Prokopenko, Andrey V.; Rajamanickam, Sivasankaran R.; Siefert, Christopher S.; Kennon, Stephen

Trilinos is an object-oriented software framework for the solution of large-scale, complex multi-physics engineering and scientific problems. While Trilinos was originally designed for scalable solutions of large problems, the fidelity needed by many simulations is significantly greater than what one could have envisioned two decades ago. When problem sizes exceed a billion elements even scalable applications and solver stacks require a complete revision. The second-generation Trilinos employs C++ templates in order to solve arbitrarily large problems. We present a case study of the integration of Trilinos with a low Mach fluids engineering application (SIERRA low Mach module/Nalu). Through the use of improved algorithms and better software engineering practices, we demonstrate good weak scaling for up to a nine billion element large eddy simulation (LES) problem on unstructured meshes with a 27 billion row matrix on 524,288 cores of an IBM Blue Gene/Q platform.

Lin, Paul L.; Siefert, Christopher S.; Cyr, Eric C.; Bettencourt, Matthew T.; Domino, Stefan P.; Fisher, Travis C.; Hoemmen, Mark F.; Hu, Jonathan J.; Phipps, Eric T.; Prokopenko, Andrey V.; Rajamanickam, Sivasankaran R.

Abstract not provided.

Cyr, Eric C.; Beckwith, Kristian B.; Siefert, Christopher S.; Sentz, P.; Olson, L.O.; Guenther, S.; Gauger, N.R.; Ruthotto, L.; Schroder, J.

Abstract not provided.

Fisher, Travis C.; Siefert, Christopher S.; Hoemmen, Mark F.; Prokopenko, Andrey P.

Abstract not provided.

Elliott, James J.; Siefert, Christopher S.; Hu, Jonathan J.

Abstract not provided.

Siefert, Christopher S.

Abstract not provided.

Siefert, Christopher S.; Meredith, Logan M.; Carleton, James B.

Abstract not provided.

Siefert, Christopher S.; Hu, Jonathan J.; Tuminaro, Raymond S.

Abstract not provided.

Siefert, Christopher S.; Tuminaro, Raymond S.; Hu, Jonathan J.

Abstract not provided.

Siefert, Christopher S.

Abstract not provided.