Testing Parallel Linear Iterative Solvers for Finite Element Groundwater Flow Problems
The modeling of groundwater flow using three-dimensional finite element discretizations creates a need to solve large systems of sparse linear equations (Ax = b) at each of several nonlinear iterations. These linear systems can be difficult to solve because of the ill-conditioning of the matrix A re...
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description | The modeling of groundwater flow using three-dimensional finite element discretizations creates a need to solve large systems of sparse linear equations (Ax = b) at each of several nonlinear iterations. These linear systems can be difficult to solve because of the ill-conditioning of the matrix A resulting from the widely varying magnitudes of its coefficients. Because the meshes may contain millions of nodes, iterative solvers are typically used to perform the Ax = b solution. Since 80 percent or more of the computational time is spent in the iterative solver part of the computer program, choosing the most efficient solver for each application can dramatically reduce the total solution time. This paper tests 12 Krylov subspace parallel linear iterative solvers with five preconditioners (60 scenarios) on linear systems of equations resulting from a finite element study of remediation of a military site using pump-and-treat technology. Both symmetric, positive-definite matrices, resulting from a Picard linearization of the nonlinear equations for the steady-state case, and nonsymmetric matrices, arising from a Newton linearization of the nonlinear equations of a transient case, are studied The Portable Extensible Toolkit for Scientific Computation (PETSc) library was used in this study on the Engineer Research and Development Center Major Shared Resource Center SG1 O3K and Cray XT3 computers. Matrix data corresponding to each subdomain in a parallel groundwater finite element program were first written to a file in a compressed sparse column format. A separate program was then written in FORTRAN to read these data, renumber the nodes, call the PETSc routines to load A and b and then solve for x, and finally compute error norms. Solver time, iteration count, 2-norm and infinity-norm of the residual after convergence, weak speedup, and strong speedup are tabulated in this paper for the different scenarios and then analyzed.
The original document contains color images. All DTIC reproductions will be in black and white. Presented at the DoD High Performance Computer Modernization Program (HPCMP) Users Group Conference (USG)(2007): A Bridge to Future Defense held in Pittsburgh, PA on 18-21 June 2007. Published in Proceedings of the DoD High Performance Computer Modernization Program (HPCMP) Users Group Conference (USG), p474-481, June 2007. Publisher: IEEE Computer Society, Conference Publishing Services (CPS). ISBN 0-7695-3088-5 and ISBN 978-0-7695-3088-8. Spon |
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The original document contains color images. All DTIC reproductions will be in black and white. Presented at the DoD High Performance Computer Modernization Program (HPCMP) Users Group Conference (USG)(2007): A Bridge to Future Defense held in Pittsburgh, PA on 18-21 June 2007. Published in Proceedings of the DoD High Performance Computer Modernization Program (HPCMP) Users Group Conference (USG), p474-481, June 2007. Publisher: IEEE Computer Society, Conference Publishing Services (CPS). ISBN 0-7695-3088-5 and ISBN 978-0-7695-3088-8. Sponsored in part by the Department of Defense. This article is from ADA488707 Proceedings of the HPCMP Users Group Conference 2007. High Performance Computing Modernization Program: A Bridge to Future Defense held 18-21 June 2007 in Pittsburgh, Pennsylvania</description><language>eng</language><subject>COEFFICIENTS ; COMPONENT REPORTS ; COMPUTATIONS ; Computer Programming and Software ; COMPUTER PROGRAMS ; FINITE ELEMENT ANALYSIS ; FORTRAN ; GROUND WATER ; Hydrology, Limnology and Potamology ; ITERATIONS ; LINEAR ALGEBRAIC EQUATIONS ; LINEAR ITERATIVE SOLVERS ; NONLINEAR ALGEBRAIC EQUATIONS ; Numerical Mathematics ; PETSC(PORTABLE EXTENSIBLE TOOLKIT FOR SCIENTIFIC COMPUTATION) ; STEADY STATE ; SYMPOSIA ; Theoretical Mathematics ; THREE DIMENSIONAL ; TOOL KITS ; TRANSIENTS ; WATER FLOW</subject><creationdate>2007</creationdate><rights>Approved for public release; distribution is unlimited.</rights><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>230,776,881,27544,27545</link.rule.ids><linktorsrc>$$Uhttps://apps.dtic.mil/sti/citations/ADP023778$$EView_record_in_DTIC$$FView_record_in_$$GDTIC$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>Tracy, Fred T</creatorcontrib><creatorcontrib>Oppe, Thomas C</creatorcontrib><creatorcontrib>Gavali, Sharad</creatorcontrib><creatorcontrib>ENGINEER RESEARCH AND DEVELOPMENT CENTER VICKSBURG MS</creatorcontrib><title>Testing Parallel Linear Iterative Solvers for Finite Element Groundwater Flow Problems</title><description>The modeling of groundwater flow using three-dimensional finite element discretizations creates a need to solve large systems of sparse linear equations (Ax = b) at each of several nonlinear iterations. These linear systems can be difficult to solve because of the ill-conditioning of the matrix A resulting from the widely varying magnitudes of its coefficients. Because the meshes may contain millions of nodes, iterative solvers are typically used to perform the Ax = b solution. Since 80 percent or more of the computational time is spent in the iterative solver part of the computer program, choosing the most efficient solver for each application can dramatically reduce the total solution time. This paper tests 12 Krylov subspace parallel linear iterative solvers with five preconditioners (60 scenarios) on linear systems of equations resulting from a finite element study of remediation of a military site using pump-and-treat technology. Both symmetric, positive-definite matrices, resulting from a Picard linearization of the nonlinear equations for the steady-state case, and nonsymmetric matrices, arising from a Newton linearization of the nonlinear equations of a transient case, are studied The Portable Extensible Toolkit for Scientific Computation (PETSc) library was used in this study on the Engineer Research and Development Center Major Shared Resource Center SG1 O3K and Cray XT3 computers. Matrix data corresponding to each subdomain in a parallel groundwater finite element program were first written to a file in a compressed sparse column format. A separate program was then written in FORTRAN to read these data, renumber the nodes, call the PETSc routines to load A and b and then solve for x, and finally compute error norms. Solver time, iteration count, 2-norm and infinity-norm of the residual after convergence, weak speedup, and strong speedup are tabulated in this paper for the different scenarios and then analyzed.
The original document contains color images. All DTIC reproductions will be in black and white. Presented at the DoD High Performance Computer Modernization Program (HPCMP) Users Group Conference (USG)(2007): A Bridge to Future Defense held in Pittsburgh, PA on 18-21 June 2007. Published in Proceedings of the DoD High Performance Computer Modernization Program (HPCMP) Users Group Conference (USG), p474-481, June 2007. Publisher: IEEE Computer Society, Conference Publishing Services (CPS). ISBN 0-7695-3088-5 and ISBN 978-0-7695-3088-8. Sponsored in part by the Department of Defense. This article is from ADA488707 Proceedings of the HPCMP Users Group Conference 2007. 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These linear systems can be difficult to solve because of the ill-conditioning of the matrix A resulting from the widely varying magnitudes of its coefficients. Because the meshes may contain millions of nodes, iterative solvers are typically used to perform the Ax = b solution. Since 80 percent or more of the computational time is spent in the iterative solver part of the computer program, choosing the most efficient solver for each application can dramatically reduce the total solution time. This paper tests 12 Krylov subspace parallel linear iterative solvers with five preconditioners (60 scenarios) on linear systems of equations resulting from a finite element study of remediation of a military site using pump-and-treat technology. Both symmetric, positive-definite matrices, resulting from a Picard linearization of the nonlinear equations for the steady-state case, and nonsymmetric matrices, arising from a Newton linearization of the nonlinear equations of a transient case, are studied The Portable Extensible Toolkit for Scientific Computation (PETSc) library was used in this study on the Engineer Research and Development Center Major Shared Resource Center SG1 O3K and Cray XT3 computers. Matrix data corresponding to each subdomain in a parallel groundwater finite element program were first written to a file in a compressed sparse column format. A separate program was then written in FORTRAN to read these data, renumber the nodes, call the PETSc routines to load A and b and then solve for x, and finally compute error norms. Solver time, iteration count, 2-norm and infinity-norm of the residual after convergence, weak speedup, and strong speedup are tabulated in this paper for the different scenarios and then analyzed.
The original document contains color images. All DTIC reproductions will be in black and white. Presented at the DoD High Performance Computer Modernization Program (HPCMP) Users Group Conference (USG)(2007): A Bridge to Future Defense held in Pittsburgh, PA on 18-21 June 2007. Published in Proceedings of the DoD High Performance Computer Modernization Program (HPCMP) Users Group Conference (USG), p474-481, June 2007. Publisher: IEEE Computer Society, Conference Publishing Services (CPS). ISBN 0-7695-3088-5 and ISBN 978-0-7695-3088-8. Sponsored in part by the Department of Defense. This article is from ADA488707 Proceedings of the HPCMP Users Group Conference 2007. High Performance Computing Modernization Program: A Bridge to Future Defense held 18-21 June 2007 in Pittsburgh, Pennsylvania</abstract><oa>free_for_read</oa></addata></record> |
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subjects | COEFFICIENTS COMPONENT REPORTS COMPUTATIONS Computer Programming and Software COMPUTER PROGRAMS FINITE ELEMENT ANALYSIS FORTRAN GROUND WATER Hydrology, Limnology and Potamology ITERATIONS LINEAR ALGEBRAIC EQUATIONS LINEAR ITERATIVE SOLVERS NONLINEAR ALGEBRAIC EQUATIONS Numerical Mathematics PETSC(PORTABLE EXTENSIBLE TOOLKIT FOR SCIENTIFIC COMPUTATION) STEADY STATE SYMPOSIA Theoretical Mathematics THREE DIMENSIONAL TOOL KITS TRANSIENTS WATER FLOW |
title | Testing Parallel Linear Iterative Solvers for Finite Element Groundwater Flow Problems |
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