1 // Copyright (c) 2017-2022, Lawrence Livermore National Security, LLC and other CEED contributors. 2 // All Rights Reserved. See the top-level LICENSE and NOTICE files for details. 3 // 4 // SPDX-License-Identifier: BSD-2-Clause 5 // 6 // This file is part of CEED: http://github.com/ceed element and spectral 7 // element discretizations for exascale applications. For more information and 8 // source code availability see http://github.com/ceed 9 // 10 // The CEED research is supported by the Exascale Computing Project 17-SC-20-SC, 11 // a collaborative effort of two U.S. Department of Energy organizations (Office 12 // of Science and the National Nuclear Security Administration) responsible for 13 // the planning and preparation of a capable exascale ecosystem, including 14 // software, applications, hardware, advanced system engineering and early 15 // testbed platforms, in support of the nation's exascale computing imperative. 16 17 /// @file 18 /// libCEED QFunctions for diffusion operator example for a scalar field on the sphere using PETSc 19 20 #ifndef bp3sphere_h 21 #define bp3sphere_h 22 23 #include <ceed.h> 24 #include <math.h> 25 26 // ----------------------------------------------------------------------------- 27 // This QFunction sets up the geometric factors required for integration and 28 // coordinate transformations when reference coordinates have a different 29 // dimension than the one of physical coordinates 30 // 31 // Reference (parent) 2D coordinates: X \in [-1, 1]^2 32 // 33 // Global 3D physical coordinates given by the mesh: xx \in [-R, R]^3 34 // with R radius of the sphere 35 // 36 // Local 3D physical coordinates on the 2D manifold: x \in [-l, l]^3 37 // with l half edge of the cube inscribed in the sphere 38 // 39 // Change of coordinates matrix computed by the library: 40 // (physical 3D coords relative to reference 2D coords) 41 // dxx_j/dX_i (indicial notation) [3 * 2] 42 // 43 // Change of coordinates x (on the 2D manifold) relative to xx (phyisical 3D): 44 // dx_i/dxx_j (indicial notation) [3 * 3] 45 // 46 // Change of coordinates x (on the 2D manifold) relative to X (reference 2D): 47 // (by chain rule) 48 // dx_i/dX_j [3 * 2] = dx_i/dxx_k [3 * 3] * dxx_k/dX_j [3 * 2] 49 // 50 // mod_J is given by the magnitude of the cross product of the columns of dx_i/dX_j 51 // 52 // The quadrature data is stored in the array q_data. 53 // 54 // We require the determinant of the Jacobian to properly compute integrals of 55 // the form: int( u v ) 56 // 57 // q_data[0]: mod_J * w 58 // 59 // We use the Moore–Penrose (left) pseudoinverse of dx_i/dX_j, to compute dX_i/dx_j (and its transpose), 60 // needed to properly compute integrals of the form: int( gradv gradu ) 61 // 62 // dX_i/dx_j [2 * 3] = (dx_i/dX_j)+ = (dxdX^T dxdX)^(-1) dxdX 63 // 64 // and the product simplifies to yield the contravariant metric tensor 65 // 66 // g^{ij} = dX_i/dx_k dX_j/dx_k = (dxdX^T dxdX)^{-1} 67 // 68 // Stored: g^{ij} (in Voigt convention) in 69 // 70 // q_data[1:3]: [dXdxdXdxT00 dXdxdXdxT01] 71 // [dXdxdXdxT01 dXdxdXdxT11] 72 // ----------------------------------------------------------------------------- 73 CEED_QFUNCTION(SetupDiffGeo)(void *ctx, CeedInt Q, const CeedScalar *const *in, CeedScalar *const *out) { 74 const CeedScalar *X = in[0], *J = in[1], *w = in[2]; 75 CeedScalar *q_data = out[0]; 76 77 // Quadrature Point Loop 78 CeedPragmaSIMD for (CeedInt i = 0; i < Q; i++) { 79 // Read global Cartesian coordinates 80 const CeedScalar xx[3] = {X[i + 0 * Q], X[i + 1 * Q], X[i + 2 * Q]}; 81 82 // Read dxxdX Jacobian entries, stored as 83 // 0 3 84 // 1 4 85 // 2 5 86 const CeedScalar dxxdX[3][2] = { 87 {J[i + Q * 0], J[i + Q * 3]}, 88 {J[i + Q * 1], J[i + Q * 4]}, 89 {J[i + Q * 2], J[i + Q * 5]} 90 }; 91 92 // Setup 93 // x = xx (xx^T xx)^{-1/2} 94 // dx/dxx = I (xx^T xx)^{-1/2} - xx xx^T (xx^T xx)^{-3/2} 95 const CeedScalar mod_xx_sq = xx[0] * xx[0] + xx[1] * xx[1] + xx[2] * xx[2]; 96 CeedScalar xx_sq[3][3]; 97 for (int j = 0; j < 3; j++) { 98 for (int k = 0; k < 3; k++) xx_sq[j][k] = xx[j] * xx[k] / (sqrt(mod_xx_sq) * mod_xx_sq); 99 } 100 101 const CeedScalar dxdxx[3][3] = { 102 {1. / sqrt(mod_xx_sq) - xx_sq[0][0], -xx_sq[0][1], -xx_sq[0][2] }, 103 {-xx_sq[1][0], 1. / sqrt(mod_xx_sq) - xx_sq[1][1], -xx_sq[1][2] }, 104 {-xx_sq[2][0], -xx_sq[2][1], 1. / sqrt(mod_xx_sq) - xx_sq[2][2]} 105 }; 106 107 CeedScalar dxdX[3][2]; 108 for (int j = 0; j < 3; j++) { 109 for (int k = 0; k < 2; k++) { 110 dxdX[j][k] = 0; 111 for (int l = 0; l < 3; l++) dxdX[j][k] += dxdxx[j][l] * dxxdX[l][k]; 112 } 113 } 114 115 // J is given by the cross product of the columns of dxdX 116 const CeedScalar J[3] = {dxdX[1][0] * dxdX[2][1] - dxdX[2][0] * dxdX[1][1], dxdX[2][0] * dxdX[0][1] - dxdX[0][0] * dxdX[2][1], 117 dxdX[0][0] * dxdX[1][1] - dxdX[1][0] * dxdX[0][1]}; 118 119 // Use the magnitude of J as our detJ (volume scaling factor) 120 const CeedScalar mod_J = sqrt(J[0] * J[0] + J[1] * J[1] + J[2] * J[2]); 121 122 // Interp-to-Interp q_data 123 q_data[i + Q * 0] = mod_J * w[i]; 124 125 // dxdX_k,j * dxdX_j,k 126 CeedScalar dxdXTdxdX[2][2]; 127 for (int j = 0; j < 2; j++) { 128 for (int k = 0; k < 2; k++) { 129 dxdXTdxdX[j][k] = 0; 130 for (int l = 0; l < 3; l++) dxdXTdxdX[j][k] += dxdX[l][j] * dxdX[l][k]; 131 } 132 } 133 134 const CeedScalar detdxdXTdxdX = dxdXTdxdX[0][0] * dxdXTdxdX[1][1] - dxdXTdxdX[1][0] * dxdXTdxdX[0][1]; 135 136 // Compute inverse of dxdXTdxdX, which is the 2x2 contravariant metric tensor g^{ij} 137 CeedScalar dxdXTdxdX_inv[2][2]; 138 dxdXTdxdX_inv[0][0] = dxdXTdxdX[1][1] / detdxdXTdxdX; 139 dxdXTdxdX_inv[0][1] = -dxdXTdxdX[0][1] / detdxdXTdxdX; 140 dxdXTdxdX_inv[1][0] = -dxdXTdxdX[1][0] / detdxdXTdxdX; 141 dxdXTdxdX_inv[1][1] = dxdXTdxdX[0][0] / detdxdXTdxdX; 142 143 // Stored in Voigt convention 144 q_data[i + Q * 1] = dxdXTdxdX_inv[0][0]; 145 q_data[i + Q * 2] = dxdXTdxdX_inv[1][1]; 146 q_data[i + Q * 3] = dxdXTdxdX_inv[0][1]; 147 } // End of Quadrature Point Loop 148 149 // Return 150 return 0; 151 } 152 153 // ----------------------------------------------------------------------------- 154 // This QFunction sets up the rhs and true solution for the problem 155 // ----------------------------------------------------------------------------- 156 CEED_QFUNCTION(SetupDiffRhs)(void *ctx, CeedInt Q, const CeedScalar *const *in, CeedScalar *const *out) { 157 // Inputs 158 const CeedScalar *X = in[0], *q_data = in[1]; 159 // Outputs 160 CeedScalar *true_soln = out[0], *rhs = out[1]; 161 162 // Context 163 const CeedScalar *context = (const CeedScalar *)ctx; 164 const CeedScalar R = context[0]; 165 166 // Quadrature Point Loop 167 CeedPragmaSIMD for (CeedInt i = 0; i < Q; i++) { 168 // Read global Cartesian coordinates 169 CeedScalar x = X[i + Q * 0], y = X[i + Q * 1], z = X[i + Q * 2]; 170 // Normalize quadrature point coordinates to sphere 171 CeedScalar rad = sqrt(x * x + y * y + z * z); 172 x *= R / rad; 173 y *= R / rad; 174 z *= R / rad; 175 // Compute latitude and longitude 176 const CeedScalar theta = asin(z / R); // latitude 177 const CeedScalar lambda = atan2(y, x); // longitude 178 179 true_soln[i + Q * 0] = sin(lambda) * cos(theta); 180 181 rhs[i + Q * 0] = q_data[i + Q * 0] * 2 * sin(lambda) * cos(theta) / (R * R); 182 } // End of Quadrature Point Loop 183 184 return 0; 185 } 186 187 // ----------------------------------------------------------------------------- 188 // This QFunction applies the diffusion operator for a scalar field. 189 // 190 // Inputs: 191 // ug - Input vector gradient at quadrature points 192 // q_data - Geometric factors 193 // 194 // Output: 195 // vg - Output vector (test functions) gradient at quadrature points 196 // 197 // ----------------------------------------------------------------------------- 198 CEED_QFUNCTION(Diff)(void *ctx, CeedInt Q, const CeedScalar *const *in, CeedScalar *const *out) { 199 // Inputs 200 const CeedScalar *ug = in[0], *q_data = in[1]; 201 // Outputs 202 CeedScalar *vg = out[0]; 203 204 // Quadrature Point Loop 205 CeedPragmaSIMD for (CeedInt i = 0; i < Q; i++) { 206 // Read spatial derivatives of u 207 const CeedScalar du[2] = {ug[i + Q * 0], ug[i + Q * 1]}; 208 // Read q_data 209 const CeedScalar w_det_J = q_data[i + Q * 0]; 210 // -- Grad-to-Grad q_data 211 // ---- dXdx_j,k * dXdx_k,j 212 const CeedScalar dXdxdXdx_T[2][2] = { 213 {q_data[i + Q * 1], q_data[i + Q * 3]}, 214 {q_data[i + Q * 3], q_data[i + Q * 2]} 215 }; 216 217 for (int j = 0; j < 2; j++) { // j = direction of vg 218 vg[i + j * Q] = w_det_J * (du[0] * dXdxdXdx_T[0][j] + du[1] * dXdxdXdx_T[1][j]); 219 } 220 } // End of Quadrature Point Loop 221 222 return 0; 223 } 224 // ----------------------------------------------------------------------------- 225 226 #endif // bp3sphere_h 227