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A Parallel Computational Framework for Discontinuous Galerkin Methods

A Parallel Computational Framework for Discontinuous Galerkin Methods. Kumar Vemaganti Mechanical Engineering University of Cincinnati. Acknowledgements. ICES (formerly TICAM), UT Austin Abani Patra, SUNY Buffalo. Outline. PI-FED in a nutshell Design Considerations Implementation Issues

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A Parallel Computational Framework for Discontinuous Galerkin Methods

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  1. A Parallel Computational Framework for Discontinuous Galerkin Methods Kumar Vemaganti Mechanical Engineering University of Cincinnati

  2. Acknowledgements • ICES (formerly TICAM), UT Austin • Abani Patra, SUNY Buffalo

  3. Outline • PI-FED in a nutshell • Design Considerations • Implementation Issues • Sample Applications

  4. PIFED: Parallel Infrastructure for Finite Element Discretizations • Two-dimensional Adaptive FE • Conforming and Non-conforming • Quadrilaterals and Triangles • Parallel: Partitioning through Space Filling Curves • Multiple Linear Solvers • C++ and some FORTRAN

  5. Design Considerations (for a Research Code) • Source code available (GPL) • Flexible: Multiple Solution Components • Extensible: Object Oriented • Portable on *NIX: RS6000, IRIX, Linux, Mac OS X • Parallel: Distributed Datastructures • Adaptive: Dynamic Datastructures

  6. The Finite Element Problem

  7. The Finite Element Problem

  8. Discontinuous Formulations: Additional Terms Additional terms on the LHS: The Finite Element Problem is completely specified if the coefficients A**, B**, F*, H*, J** are specified for each element/edge.

  9. Organization PI-FED Library Application (User-supplied) Domain (Mesh) Partitioning Solvers Coefficients: A**, J**, etc. Datastructures Communications Control Parameters

  10. Non-overlapping Partitioning:Hilbert Space Filling Curves Hilbert SFC: A one-dimensional curve that fills the unit square. SFC Implementation: HSFC2D & HSFC3D (H. Carter Edwards)

  11. PIFED: Other Features • Solvers: • Direct: SPOOLES, SPARSE 1.3 • Iterative: PCG & GMRES • AZTEC interface in the works • Datastructures • Hashtables for elements and nodes (gNodes, pNodes) • Hash rule based on SFC key • Communications • MPICH version of MPI • Hidden from user

  12. Coefficient Function MCOEFF:Element by Element #include "AFE-machine.hh" #include "AFE-3D.hh" subroutine USER_MCOEFF ( xyzloc, xyzglob, . mat, neq, nrhs, . nreal, rval, nint, ival, . unreal, urval, unint, uival, . axx, axy, ayx, ayy, . a0x, a0y, ax0, ay0, . a00, f0, fx, fy )

  13. Coefficient Function MCOEFF c-- Fill up the coefficient arrays axx(1,1) = a1111 ayy(1,1) = 0.5d0*a1212 axy(1,2) = a1122 ayx(1,2) = 0.5d0*a1212 axy(2,1) = 0.5d0*a1212 ayx(2,1) = a1122 axx(2,2) = 0.5d0*a1212 ayy(2,2) = a2222 c-- RHS coefficients f0(1,1) = -1.0d0*a1111 f0(2,1) = -1.0d0*a2222

  14. Coefficient Function BCOEFF:Boundary Edges /* Dirichlet BCs */ if ( strcmp ( Type, "Displacement" ) == 0 ) { /* LHS terms */ BX0[0+0*(*n_c)] = a1111*unorm[0]; BX0[0+1*(*n_c)] = a1122*unorm[1]; BX0[1+0*(*n_c)] = 0.5*a1212*unorm[1]; BX0[1+1*(*n_c)] = 0.5*a1212*unorm[0]; BY0[0+0*(*n_c)] = 0.5*a1212*unorm[1]; BY0[0+1*(*n_c)] = 0.5*a1212*unorm[0]; BY0[1+0*(*n_c)] = a1122*unorm[0]; BY0[1+1*(*n_c)] = a2222*unorm[1];

  15. Coefficient Function BCOEFF B0X[0+0*(*n_c)] = -1.0*a1111*unorm[0]; B0X[0+1*(*n_c)] = -0.5*a1212*unorm[1]; B0X[1+0*(*n_c)] = -1.0*a1122*unorm[1]; B0X[1+1*(*n_c)] = -0.5*a1212*unorm[0]; B0Y[0+0*(*n_c)] = -0.5*a1212*unorm[1]; B0Y[0+1*(*n_c)] = -1.0*a1122*unorm[0]; B0Y[1+0*(*n_c)] = -0.5*a1212*unorm[0]; B0Y[1+1*(*n_c)] = -1.0*a2222*unorm[1]; /* RHS terms */ hx[0] = u0*unorm[0]*a1111 + u1*unorm[1]*a1122; hx[1] = 0.5*a1212*(u0*unorm[1] + u1*unorm[0]); hy[0] = 0.5*a1212*(u0*unorm[1] + u1*unorm[0]); hy[1] = u0*unorm[0]*a1122 + u1*unorm[1]*a2222; } /* End of Dirichlet BCs */

  16. Coefficient Function JCOEFF: Interior Edges c------------------------------------------------- c-- Coefficients for this element c------------------------------------------------- c-- JX0 JX0(1,1) = unorma(1)*a1111 JX0(1,2) = unorma(2)*a1122 JX0(2,1) = 0.5d0*unorma(2)*a1212 JX0(2,2) = 0.5d0*unorma(1)*a1212 c-- JY0 JY0(1,1) = 0.5d0*unorma(2)*a1212 JY0(1,2) = 0.5d0*unorma(1)*a1212 JY0(2,1) = unorma(1)*a1122 JY0(2,2) = unorma(2)*a2222

  17. Coefficient Function JCOEFF c------------------------------------------------ c-- Coefficients for neighbor c------------------------------------------------ c-- JX0 JX0_n(1,1) = unorma(1)*n1111 JX0_n(1,2) = unorma(2)*n1122 JX0_n(2,1) = 0.5d0*unorma(2)*n1212 JX0_n(2,2) = 0.5d0*unorma(1)*n1212 c-- JY0 JY0_n(1,1) = 0.5d0*unorma(2)*n1212 JY0_n(1,2) = 0.5d0*unorma(1)*n1212 JY0_n(2,1) = unorma(1)*n1122 JY0_n(2,2) = unorma(2)*n2222

  18. Control Parameters // Set the number of post-processing quantities int npost = 5; set_parameter ( NUM_POST_QTY, (void *)&npost ); // Set the number of RHSs int nrhs = 1; set_parameter ( NUM_RHS, (void *)&nrhs ); // Set number of solution components int nc=2; set_parameter ( NUM_COMP, (void *)&nc ); // Set the finite element type to DG int fe_type=NONCONFORMING; set_parameter ( FE_TYPE, (void *)&fe_type );

  19. Example: Linear Elasticity • Horizontal traction force on right edge • Left edge fixed • Isotropic Material • p-level = 2

  20. Results on Initial Mesh Vertical Displacements Horizontal Displacements

  21. Results on Initial Mesh von Mises Stress

  22. Refined Mesh • Horizontal traction force on right edge • Left edge fixed • Isotropic Material • p-level = 2

  23. Results on Refined Mesh Vertical Displacements Horizontal Displacements

  24. Results on Refined Mesh von Mises Stress

  25. Another Example:Topology Optimization Goal: Maximize the stiffness, subject to volume constraints Discrete problem: Determine which elements have material in them, and which ones don't

  26. Extreme Materials

  27. Extreme Materials Material with Poisson Ratio = -0.95

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