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aoclsparse_status aoclsparse_itsol_s_rci_solve(aoclsparse_itsol_handle handle, aoclsparse_itsol_rci_job *ircomm, float **u, float **v, float *x, float rinfo[100])#
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aoclsparse_status aoclsparse_itsol_d_rci_solve(aoclsparse_itsol_handle handle, aoclsparse_itsol_rci_job *ircomm, double **u, double **v, double *x, double rinfo[100])#
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aoclsparse_status aoclsparse_itsol_c_rci_solve(aoclsparse_itsol_handle handle, aoclsparse_itsol_rci_job *ircomm, aoclsparse_float_complex **u, aoclsparse_float_complex **v, aoclsparse_float_complex *x, float rinfo[100])#
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aoclsparse_status aoclsparse_itsol_z_rci_solve(aoclsparse_itsol_handle handle, aoclsparse_itsol_rci_job *ircomm, aoclsparse_double_complex **u, aoclsparse_double_complex **v, aoclsparse_double_complex *x, double rinfo[100])#
Reverse Communication Interface (RCI) to the iterative solvers (itsol) suite.
This function solves the linear system of equations
\[ Ax=b, \]where the matrix of coefficients \(A\) is not required to be provided explicitly. The right hand-side is the dense vectorband the vector of unknowns isx. If \(A\) is symmetric and positive definite then set the option “iterative method” to “cg” to solve the problem using the Conjugate Gradient method, alternatively set the option to “gmres” to solve using GMRes. See the Options for a list of available options to modify the behaviour of each solver.The reverse communication interface (RCI), also know as _matrix-free_ interface does not require the user to explicitly provide the matrix \(A\). During the solve process whenever the algorithm requires a matrix operation (matrix-vector or transposed matrix-vector products), it returns control to the user with a flag
ircommindicating what operation is requested. Once the user performs the requested task it must call this function again to resume the solve.The expected workflow is as follows:
Call aoclsparse_itsol_s_init or aoclsparse_itsol_d_init or aoclsparse_itsol_c_init or aoclsparse_itsol_z_init to initialize the problem
handle( aoclsparse_itsol_handle)Choose the solver and adjust its behaviour by setting optional parameters with aoclsparse_itsol_option_set, see also Options.
Define the problem size and right-hand side vector \(b\) with aoclsparse_itsol_d_rci_input.
Solve the system with either aoclsparse_itsol_s_rci_solve or aoclsparse_itsol_d_rci_solve or aoclsparse_itsol_c_rci_solve or aoclsparse_itsol_z_rci_solve.
If there is another linear system of equations to solve with the same matrix but a different right-hand side \(b\), then repeat from step 3.
If solver terminated successfully then vector
xcontains the solution.Free the memory with aoclsparse_itsol_destroy.
These reverse communication interfaces complement the _forward communication_ interfaces aoclsparse_itsol_d_rci_solve, aoclsparse_itsol_s_rci_solve, aoclsparse_itsol_c_rci_solve and aoclsparse_itsol_z_rci_solve.
1/* ************************************************************************ 2 * Copyright (c) 2022-2025 Advanced Micro Devices, Inc. 3 * 4 * Permission is hereby granted, free of charge, to any person obtaining a copy 5 * of this software and associated documentation files (the "Software"), to deal 6 * in the Software without restriction, including without limitation the rights 7 * to use, copy, modify, merge, publish, distribute, sublicense, and/or sell 8 * copies of the Software, and to permit persons to whom the Software is 9 * furnished to do so, subject to the following conditions: 10 * 11 * The above copyright notice and this permission notice shall be included in 12 * all copies or substantial portions of the Software. 13 * 14 * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR 15 * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, 16 * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE 17 * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER 18 * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, 19 * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN 20 * THE SOFTWARE. 21 * 22 * ************************************************************************ */ 23 24#include "aoclsparse.h" 25 26#include <iomanip> 27#include <iostream> 28#include <math.h> 29#include <vector> 30 31// Define custom log printer 32void printer(double rinfo[100], bool header) 33{ 34 std::ios_base::fmtflags fmt = std::cout.flags(); 35 fmt |= std::cout.scientific | std::cout.right; 36 if(header) 37 std::cout << std::setw(5) << std::right << " iter" 38 << " " << std::setw(16) << std::right << "optim" 39 << " " << std::setw(3) << std::endl; 40 std::cout << std::setw(5) << std::right << (int)rinfo[30] << " " << std::setw(16) << std::right 41 << std::scientific << rinfo[0] << " " << std::endl; 42 std::cout << std::resetiosflags(fmt); 43} 44 45int main() 46{ 47 // CSR symmetric matrix. Only the lower triangle is stored 48 std::vector<aoclsparse_int> icrow, icol; 49 std::vector<double> aval; 50 aoclsparse_int n = 8, nnz = 18; 51 icrow.assign({0, 1, 2, 5, 6, 8, 11, 15, 18}); 52 icol.assign({0, 1, 0, 1, 2, 3, 1, 4, 0, 4, 5, 0, 3, 4, 6, 2, 5, 7}); 53 aval.assign({19, 10, 1, 8, 11, 13, 2, 11, 2, 1, 9, 7, 9, 5, 12, 5, 5, 9}); 54 55 // create matrix and its descriptor 56 aoclsparse_matrix A; 57 aoclsparse_index_base base = aoclsparse_index_base_zero; 58 aoclsparse_mat_descr descr_a; 59 aoclsparse_operation trans = aoclsparse_operation_none; 60 aoclsparse_create_dcsr(&A, base, n, n, nnz, icrow.data(), icol.data(), aval.data()); 61 aoclsparse_create_mat_descr(&descr_a); 62 aoclsparse_set_mat_type(descr_a, aoclsparse_matrix_type_symmetric); 63 aoclsparse_set_mat_fill_mode(descr_a, aoclsparse_fill_mode_lower); 64 aoclsparse_set_mat_index_base(descr_a, base); 65 aoclsparse_set_sv_hint(A, trans, descr_a, 100); 66 aoclsparse_optimize(A); 67 68 // Initialize initial point x0 and right hand side b 69 std::vector<double> x, b, expected_sol, y; 70 x.assign({1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0}); 71 b.assign({0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0}); 72 expected_sol.assign({1.E0, 0.E0, 1.E0, 0.E0, 1.E0, 0.E0, 1.E0, 0.E0}); 73 double alpha = 1.0, beta = 0.; 74 y.resize(n); 75 aoclsparse_dmv(trans, &alpha, A, descr_a, expected_sol.data(), &beta, b.data()); 76 77 // create CG handle 78 aoclsparse_itsol_handle handle = nullptr; 79 aoclsparse_itsol_d_init(&handle); 80 81 // Change options, set user defined preconditioner 82 if(aoclsparse_itsol_option_set(handle, "CG Iteration Limit", "50") != aoclsparse_status_success 83 || aoclsparse_itsol_option_set(handle, "CG preconditioner", "user") 84 != aoclsparse_status_success) 85 std::cout << "Warning an option could not be set" << std::endl; 86 87 // initialize size and rhs inside the handle 88 aoclsparse_itsol_d_rci_input(handle, n, b.data()); 89 90 // Call CG solver 91 aoclsparse_status status; 92 aoclsparse_itsol_rci_job ircomm = aoclsparse_rci_start; 93 double *u = nullptr; 94 double *v = nullptr; 95 double rinfo[100]; 96 double tol = 1.0e-5; 97 bool hdr; 98 std::cout << std::endl; 99 while(ircomm != aoclsparse_rci_stop) 100 { 101 status = aoclsparse_itsol_d_rci_solve(handle, &ircomm, &u, &v, x.data(), rinfo); 102 if(status != aoclsparse_status_success) 103 break; 104 switch(ircomm) 105 { 106 case aoclsparse_rci_mv: 107 // Compute v = Au 108 beta = 0.0; 109 alpha = 1.0; 110 status = aoclsparse_dmv(trans, &alpha, A, descr_a, u, &beta, v); 111 if(status != aoclsparse_status_success) 112 ircomm = aoclsparse_rci_stop; 113 break; 114 115 case aoclsparse_rci_precond: 116 // apply Symmetric Gauss-Seidel preconditioner step 117 status = aoclsparse_dtrsv(aoclsparse_operation_none, alpha, A, descr_a, u, y.data()); 118 if(status != aoclsparse_status_success) 119 { 120 ircomm = aoclsparse_rci_stop; 121 break; 122 } 123 for(aoclsparse_int i = 0; i < n; i++) 124 y[i] *= aval[icrow[i + 1] - 1]; 125 status 126 = aoclsparse_dtrsv(aoclsparse_operation_transpose, alpha, A, descr_a, y.data(), v); 127 if(status != aoclsparse_status_success) 128 ircomm = aoclsparse_rci_stop; 129 break; 130 131 case aoclsparse_rci_stopping_criterion: 132 // No operations required, can be used to monitor the progress of the solve 133 // or defining a custom stopping criterion 134 // print iteration log 135 hdr = ((int)rinfo[30] % 100) == 0; 136 printer(rinfo, hdr); 137 // request solver to stop if custom criterion is met 138 if(rinfo[0] < tol) 139 { 140 std::cout << "User stop. Final residual: " << rinfo[0] << std::endl; 141 ircomm = aoclsparse_rci_interrupt; 142 } 143 break; 144 145 default: 146 break; 147 } 148 } 149 // Print the final results if the internal stopping criterion or the user defined one were met 150 switch(status) 151 { 152 case aoclsparse_status_user_stop: 153 case aoclsparse_status_success: 154 std::cout.precision(2); 155 std::cout << std::scientific; 156 aoclsparse_itsol_handle_prn_options(handle); 157 std::cout << std::endl 158 << "Solution found: (residual = " << rinfo[0] << " in " << (int)rinfo[30] 159 << " iterations)" << std::endl 160 << " Final X* = "; 161 for(int i = 0; i < n; i++) 162 std::cout << std::setw(9) << x[i] << " "; 163 std::cout << std::endl; 164 std::cout << "Expected X* = "; 165 for(int i = 0; i < n; i++) 166 std::cout << std::setw(9) << expected_sol[i] << " "; 167 std::cout << std::endl; 168 break; 169 170 case aoclsparse_status_maxit: 171 std::cout << "solve stopped after " << (int)rinfo[30] << " iterations" << std::endl 172 << "residual = " << rinfo[0] << std::endl; 173 break; 174 175 default: 176 std::cout << "Something unexpected happened! " << status << std::endl; 177 } 178 aoclsparse_itsol_destroy(&handle); 179 aoclsparse_destroy_mat_descr(descr_a); 180 aoclsparse_destroy(&A); 181 182 return 0; 183}
1/* ************************************************************************ 2 * Copyright (c) 2022-2023 Advanced Micro Devices, Inc. 3 * 4 * Permission is hereby granted, free of charge, to any person obtaining a copy 5 * of this software and associated documentation files (the "Software"), to deal 6 * in the Software without restriction, including without limitation the rights 7 * to use, copy, modify, merge, publish, distribute, sublicense, and/or sell 8 * copies of the Software, and to permit persons to whom the Software is 9 * furnished to do so, subject to the following conditions: 10 * 11 * The above copyright notice and this permission notice shall be included in 12 * all copies or substantial portions of the Software. 13 * 14 * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR 15 * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, 16 * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE 17 * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER 18 * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, 19 * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN 20 * THE SOFTWARE. 21 * 22 * ************************************************************************ */ 23 24#include "aoclsparse.h" 25 26#include <cfloat> 27#include <iomanip> 28#include <iostream> 29#include <math.h> 30#include <vector> 31 32#define PREMATURE_STOP_TOLERANCE 1e-4 33const char gmres_sol[] = "gmres_direct_d"; 34 35double calculate_l2Norm_solvers(const double *xSol, const double *x, aoclsparse_int n) 36{ 37 double norm = 0.0f; 38 //residual = xSol - x 39 //xSol obtained by initial spmv 40 //x obtained by ILU-GMRES iterations 41 for(aoclsparse_int i = 0; i < n; i++) 42 { 43 double a = xSol[i] - x[i]; 44 norm += a * a; 45 } 46 norm = sqrt(norm); 47 return norm; 48} 49 50aoclsparse_int monit(aoclsparse_int n, 51 const double *x, 52 const double *r __attribute__((unused)), 53 double *rinfo, 54 void *udata __attribute__((unused))) 55{ 56 int it = (int)rinfo[30]; 57 double tol = PREMATURE_STOP_TOLERANCE; 58 59 std::ios oldState(nullptr); 60 oldState.copyfmt(std::cout); 61 62 std::ios_base::fmtflags fmt = std::cout.flags(); 63 fmt |= std::ios_base::scientific | std::ios_base::right | std::ios_base::showpos; 64 65 if(!(it % 10)) 66 { 67 std::cout << std::setw(5) << std::right << " iter" 68 << " " << std::setw(16) << std::right << "optim"; 69 for(int i = 0; i < n; i++) 70 std::cout << std::setw(8) << std::right << "x[" << i << "]"; 71 std::cout << std::endl; 72 } 73 std::cout << std::setw(5) << std::right << (int)rinfo[30] << " " << std::setw(16) << std::right 74 << std::scientific << std::setprecision(8) << rinfo[0]; 75 std::cout << std::setprecision(2) << std::showpos; 76 for(int i = 0; i < n; i++) 77 std::cout << " " << x[i]; 78 std::cout << std::endl; 79 std::cout << std::resetiosflags(fmt); 80 81 //reset std::cout state 82 std::cout.copyfmt(oldState); 83 84 if(rinfo[0] < tol) // check for premature stop 85 { 86 return 1; // request to interrupt 87 } 88 return 0; 89} 90 91int main() 92{ 93 std::vector<aoclsparse_int> csr_row_ptr; 94 std::vector<aoclsparse_int> csr_col_ind; 95 std::vector<double> csr_val; 96 97 int m, n, nnz; 98 aoclsparse_status exit_status = aoclsparse_status_success; 99 100 std::string filename = "cage4.mtx"; 101 //symmetry = 0; //real unsymmetric, symmetry = 0%, spd = no 102 //https://www.cise.ufl.edu/research/sparse/MM/vanHeukelum/cage4.tar.gz 103 n = 9; 104 m = 9; 105 nnz = 49; 106 csr_row_ptr.assign({0, 5, 10, 15, 20, 26, 32, 38, 44, 49}); 107 csr_col_ind.assign({0, 1, 3, 4, 7, 0, 1, 2, 4, 5, 1, 2, 3, 5, 6, 0, 2, 3, 6, 7, 0, 1, 4, 5, 6, 108 8, 1, 2, 4, 5, 7, 8, 2, 3, 4, 6, 7, 8, 0, 3, 5, 6, 7, 8, 4, 5, 6, 7, 8}); 109 csr_val.assign({0.75, 0.14, 0.11, 0.14, 0.11, 0.08, 0.69, 0.11, 0.08, 0.11, 0.09, 0.67, 0.08, 110 0.09, 0.08, 0.09, 0.14, 0.73, 0.14, 0.09, 0.04, 0.04, 0.54, 0.14, 0.11, 0.25, 111 0.05, 0.05, 0.08, 0.45, 0.08, 0.15, 0.04, 0.04, 0.09, 0.47, 0.09, 0.18, 0.05, 112 0.05, 0.14, 0.11, 0.55, 0.25, 0.08, 0.08, 0.09, 0.08, 0.17}); 113 114 // Create aocl sparse matrix 115 aoclsparse_matrix A; 116 aoclsparse_index_base base = aoclsparse_index_base_zero; 117 aoclsparse_mat_descr descr_a; 118 aoclsparse_operation trans = aoclsparse_operation_none; 119 aoclsparse_create_dcsr(&A, 120 base, 121 (aoclsparse_int)n, 122 (aoclsparse_int)n, 123 (aoclsparse_int)nnz, 124 csr_row_ptr.data(), 125 csr_col_ind.data(), 126 csr_val.data()); 127 aoclsparse_create_mat_descr(&descr_a); 128 aoclsparse_set_mat_type(descr_a, aoclsparse_matrix_type_symmetric); 129 aoclsparse_set_mat_fill_mode(descr_a, aoclsparse_fill_mode_lower); 130 aoclsparse_set_mat_index_base(descr_a, base); 131 aoclsparse_set_sv_hint(A, trans, descr_a, 100); 132 aoclsparse_optimize(A); 133 134 // Initialize initial point x0 and right hand side b 135 double *expected_sol = NULL; 136 double *x = NULL; 137 double *b = NULL; 138 double norm = 0.0; 139 double rinfo[100]; 140 double alpha = 1.0, beta = 0.; 141 int rs_iters = 7; 142 char rs_iters_string[16]; 143 144 expected_sol = new double[n]; 145 x = new double[n]; 146 b = new double[n]; 147 148 double init_x = 1.0, ref_x = 0.5; 149 for(int i = 0; i < n; i++) 150 { 151 expected_sol[i] = ref_x; 152 x[i] = init_x; 153 } 154 155 aoclsparse_dmv(trans, &alpha, A, descr_a, expected_sol, &beta, b); 156 157 double tol = PREMATURE_STOP_TOLERANCE; 158 aoclsparse_itsol_handle handle = NULL; 159 // create GMRES handle 160 aoclsparse_itsol_d_init(&handle); 161 162 exit_status = aoclsparse_itsol_option_set(handle, "iterative method", "GMRES"); 163 if(exit_status != aoclsparse_status_success) 164 printf("Warning an iterative method option could not be set, exit status = %d\n", 165 exit_status); 166 167 exit_status = aoclsparse_itsol_option_set(handle, "gmres preconditioner", "ILU0"); 168 if(exit_status != aoclsparse_status_success) 169 printf("Warning gmres preconditioner option could not be set, exit status = %d\n", 170 exit_status); 171 172 exit_status = aoclsparse_itsol_option_set(handle, "gmres iteration limit", "50"); 173 if(exit_status != aoclsparse_status_success) 174 printf("Warning gmres iteration limit option could not be set, exit status = %d\n", 175 exit_status); 176 177 sprintf(rs_iters_string, "%d", (int)rs_iters); 178 exit_status = aoclsparse_itsol_option_set(handle, "gmres restart iterations", rs_iters_string); 179 if(exit_status != aoclsparse_status_success) 180 printf("Warning gmres restart iterations option could not be set, exit status = %d\n", 181 exit_status); 182 183 aoclsparse_itsol_handle_prn_options(handle); 184 185 // Call GMRES solver 186 aoclsparse_status status; 187 188 status = aoclsparse_itsol_d_solve(handle, n, A, descr_a, b, x, rinfo, NULL, monit, &n); 189 if(status == aoclsparse_status_success || status == aoclsparse_status_user_stop 190 || aoclsparse_status_maxit == status) 191 { 192 norm = calculate_l2Norm_solvers(expected_sol, x, n); 193 printf("input = %s\n", filename.c_str()); 194 printf("solver = %s\n", gmres_sol); 195 printf("no of rows = %d\n", (int)m); 196 printf("no of cols = %d\n", (int)n); 197 printf("no of nnz = %d\n", (int)nnz); 198 printf("monitoring tolerance = %e\n", tol); 199 printf("restart iterations = %d\n", (int)rs_iters); 200 printf("residual achieved = %e\n", rinfo[0]); 201 printf("total iterations = %d\n", (int)rinfo[30]); 202 printf("l2 Norm = %e\n", norm); 203 } 204 else 205 { 206 std::cout << "Something unexpected happened!, Status = " << status << std::endl; 207 } 208 209 delete[] expected_sol; 210 delete[] x; 211 delete[] b; 212 aoclsparse_itsol_destroy(&handle); 213 aoclsparse_destroy_mat_descr(descr_a); 214 aoclsparse_destroy(&A); 215 printf("\n"); 216 fflush(stdout); 217 218 return 0; 219}
1/* ************************************************************************ 2 * Copyright (c) 2022-2025 Advanced Micro Devices, Inc. 3 * 4 * Permission is hereby granted, free of charge, to any person obtaining a copy 5 * of this software and associated documentation files (the "Software"), to deal 6 * in the Software without restriction, including without limitation the rights 7 * to use, copy, modify, merge, publish, distribute, sublicense, and/or sell 8 * copies of the Software, and to permit persons to whom the Software is 9 * furnished to do so, subject to the following conditions: 10 * 11 * The above copyright notice and this permission notice shall be included in 12 * all copies or substantial portions of the Software. 13 * 14 * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR 15 * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, 16 * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE 17 * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER 18 * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, 19 * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN 20 * THE SOFTWARE. 21 * 22 * ************************************************************************ */ 23 24#include "aoclsparse.h" 25 26#include <iomanip> 27#include <iostream> 28#include <math.h> 29#include <vector> 30 31// Define custom log printer 32void printer(float rinfo[100], bool header) 33{ 34 std::ios_base::fmtflags fmt = std::cout.flags(); 35 fmt |= std::cout.scientific | std::cout.right; 36 if(header) 37 std::cout << std::setw(5) << std::right << " iter" 38 << " " << std::setw(16) << std::right << "optim" 39 << " " << std::setw(3) << std::endl; 40 std::cout << std::setw(5) << std::right << (int)rinfo[30] << " " << std::setw(16) << std::right 41 << std::scientific << rinfo[0] << " " << std::endl; 42 std::cout << std::resetiosflags(fmt); 43} 44 45int main() 46{ 47 // CSR symmetric matrix. Only the lower triangle is stored 48 std::vector<aoclsparse_int> icrow, icol; 49 std::vector<float> aval; 50 aoclsparse_int n = 8, nnz = 18; 51 icrow.assign({0, 1, 2, 5, 6, 8, 11, 15, 18}); 52 icol.assign({0, 1, 0, 1, 2, 3, 1, 4, 0, 4, 5, 0, 3, 4, 6, 2, 5, 7}); 53 aval.assign({19, 10, 1, 8, 11, 13, 2, 11, 2, 1, 9, 7, 9, 5, 12, 5, 5, 9}); 54 55 // Create aocl sparse matrix and its descriptor 56 aoclsparse_matrix A; 57 aoclsparse_index_base base = aoclsparse_index_base_zero; 58 aoclsparse_mat_descr descr_a; 59 aoclsparse_operation trans = aoclsparse_operation_none; 60 aoclsparse_create_scsr(&A, base, n, n, nnz, icrow.data(), icol.data(), aval.data()); 61 aoclsparse_create_mat_descr(&descr_a); 62 aoclsparse_set_mat_type(descr_a, aoclsparse_matrix_type_symmetric); 63 aoclsparse_set_mat_fill_mode(descr_a, aoclsparse_fill_mode_lower); 64 aoclsparse_set_mat_index_base(descr_a, base); 65 aoclsparse_set_sv_hint(A, trans, descr_a, 100); 66 aoclsparse_optimize(A); 67 68 // create CG handle 69 aoclsparse_itsol_handle handle = nullptr; 70 aoclsparse_itsol_s_init(&handle); 71 72 // Change options (update to use ) 73 if(aoclsparse_itsol_option_set(handle, "CG Rel Tolerance", "1.0e-06") 74 != aoclsparse_status_success 75 || aoclsparse_itsol_option_set(handle, "CG preconditioner", "user") 76 != aoclsparse_status_success) 77 std::cout << "Warning an option could not be set" << std::endl; 78 79 // Initialize initial point x0 and right hand side b 80 std::vector<float> x, b, expected_sol, y; 81 x.assign({1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0}); 82 b.assign({0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0}); 83 expected_sol.assign({1.E0, 0.E0, 1.E0, 0.E0, 1.E0, 0.E0, 1.E0, 0.E0}); 84 float alpha = 1.0, beta = 0.; 85 y.resize(n); 86 aoclsparse_smv(trans, &alpha, A, descr_a, expected_sol.data(), &beta, b.data()); 87 88 // initialize size and rhs inside the handle 89 aoclsparse_itsol_s_rci_input(handle, n, b.data()); 90 91 // Call CG solver 92 aoclsparse_itsol_rci_job ircomm = aoclsparse_rci_start; 93 aoclsparse_status status; 94 float *u = nullptr; 95 float *v = nullptr; 96 float rinfo[100]; 97 float tol = 1.0e-5; 98 bool hdr; 99 std::cout << std::endl; 100 while(ircomm != aoclsparse_rci_stop) 101 { 102 status = aoclsparse_itsol_s_rci_solve(handle, &ircomm, &u, &v, x.data(), rinfo); 103 if(status != aoclsparse_status_success) 104 break; 105 switch(ircomm) 106 { 107 case aoclsparse_rci_mv: 108 // Compute v = Au 109 beta = 0.0; 110 alpha = 1.0; 111 status = aoclsparse_smv(trans, &alpha, A, descr_a, u, &beta, v); 112 if(status != aoclsparse_status_success) 113 ircomm = aoclsparse_rci_stop; 114 break; 115 116 case aoclsparse_rci_precond: 117 // apply Symmetric Gauss-Seidel preconditioner step 118 status = aoclsparse_strsv(aoclsparse_operation_none, alpha, A, descr_a, u, y.data()); 119 if(status != aoclsparse_status_success) 120 { 121 ircomm = aoclsparse_rci_stop; 122 break; 123 } 124 for(aoclsparse_int i = 0; i < n; i++) 125 y[i] *= aval[icrow[i + 1] - 1]; 126 status 127 = aoclsparse_strsv(aoclsparse_operation_transpose, alpha, A, descr_a, y.data(), v); 128 if(status != aoclsparse_status_success) 129 ircomm = aoclsparse_rci_stop; 130 break; 131 132 case aoclsparse_rci_stopping_criterion: 133 // No operations required, can be used to monitor the progress of the solve 134 // or defining a custom stopping criterion 135 // print iteration log 136 hdr = ((int)rinfo[30] % 100) == 0; 137 printer(rinfo, hdr); 138 // request solver to stop if custom criterion is met 139 if(rinfo[0] < tol) 140 { 141 std::cout << "User stop. Final residual: " << rinfo[0] << std::endl; 142 ircomm = aoclsparse_rci_interrupt; 143 } 144 break; 145 146 default: 147 break; 148 } 149 } 150 // Print the final results if the internal stopping criterion or the user defined one were met 151 switch(status) 152 { 153 case aoclsparse_status_user_stop: 154 case aoclsparse_status_success: 155 std::cout.precision(2); 156 std::cout << std::scientific; 157 aoclsparse_itsol_handle_prn_options(handle); 158 std::cout << std::endl 159 << "Solution found: (residual = " << rinfo[0] << " in " << (int)rinfo[30] 160 << " iterations)" << std::endl 161 << " Final X* = "; 162 for(int i = 0; i < n; i++) 163 std::cout << std::setw(9) << x[i] << " "; 164 std::cout << std::endl; 165 std::cout << "Expected X* = "; 166 for(int i = 0; i < n; i++) 167 std::cout << std::setw(9) << expected_sol[i] << " "; 168 std::cout << std::endl; 169 break; 170 171 case aoclsparse_status_maxit: 172 std::cout << "solve stopped after " << (int)rinfo[30] << " iterations" << std::endl 173 << "residual = " << rinfo[0] << std::endl; 174 break; 175 176 default: 177 std::cout << "Something unexpected happened!" << std::endl; 178 } 179 aoclsparse_itsol_destroy(&handle); 180 aoclsparse_destroy_mat_descr(descr_a); 181 aoclsparse_destroy(&A); 182 183 return 0; 184}
1/* ************************************************************************ 2 * Copyright (c) 2022-2023 Advanced Micro Devices, Inc. 3 * 4 * Permission is hereby granted, free of charge, to any person obtaining a copy 5 * of this software and associated documentation files (the "Software"), to deal 6 * in the Software without restriction, including without limitation the rights 7 * to use, copy, modify, merge, publish, distribute, sublicense, and/or sell 8 * copies of the Software, and to permit persons to whom the Software is 9 * furnished to do so, subject to the following conditions: 10 * 11 * The above copyright notice and this permission notice shall be included in 12 * all copies or substantial portions of the Software. 13 * 14 * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR 15 * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, 16 * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE 17 * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER 18 * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, 19 * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN 20 * THE SOFTWARE. 21 * 22 * ************************************************************************ */ 23 24#include "aoclsparse.h" 25 26#include <cfloat> 27#include <iomanip> 28#include <iostream> 29#include <math.h> 30#include <vector> 31 32#define PREMATURE_STOP_TOLERANCE 1e-4 33const char gmres_sol[] = "gmres_direct_s"; 34 35float calculate_l2Norm_solvers(const float *xSol, const float *x, aoclsparse_int n) 36{ 37 float norm = 0.0f; 38 //residual = xSol - x 39 //xSol obtained by initial spmv 40 //x obtained by ILU-GMRES iterations 41 for(aoclsparse_int i = 0; i < n; i++) 42 { 43 float a = xSol[i] - x[i]; 44 norm += a * a; 45 } 46 norm = sqrt(norm); 47 return norm; 48} 49 50aoclsparse_int monit(aoclsparse_int n, 51 const float *x, 52 const float *r __attribute__((unused)), 53 float *rinfo, 54 void *udata __attribute__((unused))) 55{ 56 int it = (int)rinfo[30]; 57 float tol = PREMATURE_STOP_TOLERANCE; 58 59 std::ios oldState(nullptr); 60 oldState.copyfmt(std::cout); 61 62 std::ios_base::fmtflags fmt = std::cout.flags(); 63 fmt |= std::ios_base::scientific | std::ios_base::right | std::ios_base::showpos; 64 65 if(!(it % 10)) 66 { 67 std::cout << std::setw(5) << std::right << " iter" 68 << " " << std::setw(16) << std::right << "optim"; 69 for(int i = 0; i < n; i++) 70 std::cout << std::setw(8) << std::right << "x[" << i << "]"; 71 std::cout << std::endl; 72 } 73 std::cout << std::setw(5) << std::right << (int)rinfo[30] << " " << std::setw(16) << std::right 74 << std::scientific << std::setprecision(8) << rinfo[0]; 75 std::cout << std::setprecision(2) << std::showpos; 76 for(int i = 0; i < n; i++) 77 std::cout << " " << x[i]; 78 std::cout << std::endl; 79 std::cout << std::resetiosflags(fmt); 80 81 //reset std::cout state 82 std::cout.copyfmt(oldState); 83 84 if(rinfo[0] < tol) // check for premature stop 85 { 86 return 1; // request to interrupt 87 } 88 return 0; 89} 90 91int main() 92{ 93 // CSR symmetric matrix. Only the lower triangle is stored 94 std::vector<aoclsparse_int> csr_row_ptr; 95 std::vector<aoclsparse_int> csr_col_ind; 96 std::vector<float> csr_val; 97 98 int m, n, nnz; 99 aoclsparse_status exit_status = aoclsparse_status_success; 100 101 std::string filename = "cage4.mtx"; 102 //symmetry = 0; //real unsymmetric, symmetry = 0%, spd = no 103 //https://www.cise.ufl.edu/research/sparse/MM/vanHeukelum/cage4.tar.gz 104 n = 9; 105 m = 9; 106 nnz = 49; 107 csr_row_ptr.assign({0, 5, 10, 15, 20, 26, 32, 38, 44, 49}); 108 csr_col_ind.assign({0, 1, 3, 4, 7, 0, 1, 2, 4, 5, 1, 2, 3, 5, 6, 0, 2, 3, 6, 7, 0, 1, 4, 5, 6, 109 8, 1, 2, 4, 5, 7, 8, 2, 3, 4, 6, 7, 8, 0, 3, 5, 6, 7, 8, 4, 5, 6, 7, 8}); 110 csr_val.assign({0.75, 0.14, 0.11, 0.14, 0.11, 0.08, 0.69, 0.11, 0.08, 0.11, 0.09, 0.67, 0.08, 111 0.09, 0.08, 0.09, 0.14, 0.73, 0.14, 0.09, 0.04, 0.04, 0.54, 0.14, 0.11, 0.25, 112 0.05, 0.05, 0.08, 0.45, 0.08, 0.15, 0.04, 0.04, 0.09, 0.47, 0.09, 0.18, 0.05, 113 0.05, 0.14, 0.11, 0.55, 0.25, 0.08, 0.08, 0.09, 0.08, 0.17}); 114 115 // Create aocl sparse matrix 116 aoclsparse_matrix A; 117 aoclsparse_index_base base = aoclsparse_index_base_zero; 118 aoclsparse_mat_descr descr_a; 119 aoclsparse_operation trans = aoclsparse_operation_none; 120 aoclsparse_create_scsr(&A, 121 base, 122 (aoclsparse_int)n, 123 (aoclsparse_int)n, 124 (aoclsparse_int)nnz, 125 csr_row_ptr.data(), 126 csr_col_ind.data(), 127 csr_val.data()); 128 aoclsparse_create_mat_descr(&descr_a); 129 aoclsparse_set_mat_type(descr_a, aoclsparse_matrix_type_symmetric); 130 aoclsparse_set_mat_fill_mode(descr_a, aoclsparse_fill_mode_lower); 131 aoclsparse_set_mat_index_base(descr_a, base); 132 aoclsparse_set_sv_hint(A, trans, descr_a, 100); 133 aoclsparse_optimize(A); 134 135 // Initialize initial point x0 and right hand side b 136 float *expected_sol = NULL; 137 float *x = NULL; 138 float *b = NULL; 139 float norm = 0.0; 140 float rinfo[100]; 141 float alpha = 1.0, beta = 0.; 142 int rs_iters = 7; 143 char rs_iters_string[16]; 144 145 expected_sol = new float[n]; 146 x = new float[n]; 147 b = new float[n]; 148 149 float init_x = 1.0, ref_x = 0.5; 150 for(int i = 0; i < n; i++) 151 { 152 expected_sol[i] = ref_x; 153 x[i] = init_x; 154 } 155 156 // generate RHS 157 // Reference SPMV CSR implementation 158 aoclsparse_smv(trans, &alpha, A, descr_a, expected_sol, &beta, b); 159 160 float tol = PREMATURE_STOP_TOLERANCE; 161 aoclsparse_itsol_handle handle = nullptr; 162 // create GMRES handle 163 aoclsparse_itsol_s_init(&handle); 164 165 exit_status = aoclsparse_itsol_option_set(handle, "iterative method", "GMRES"); 166 if(exit_status != aoclsparse_status_success) 167 printf("Warning an iterative method option could not be set, exit status = %d\n", 168 exit_status); 169 170 exit_status = aoclsparse_itsol_option_set(handle, "gmres preconditioner", "ILU0"); 171 if(exit_status != aoclsparse_status_success) 172 printf("Warning gmres preconditioner option could not be set, exit status = %d\n", 173 exit_status); 174 175 exit_status = aoclsparse_itsol_option_set(handle, "gmres iteration limit", "50"); 176 if(exit_status != aoclsparse_status_success) 177 printf("Warning gmres iteration limit option could not be set, exit status = %d\n", 178 exit_status); 179 180 sprintf(rs_iters_string, "%d", (int)rs_iters); 181 exit_status = aoclsparse_itsol_option_set(handle, "gmres restart iterations", rs_iters_string); 182 if(exit_status != aoclsparse_status_success) 183 printf("Warning gmres restart iterations option could not be set, exit status = %d\n", 184 exit_status); 185 186 aoclsparse_itsol_handle_prn_options(handle); 187 188 // Call GMRES solver 189 aoclsparse_status status; 190 191 status = aoclsparse_itsol_s_solve(handle, n, A, descr_a, b, x, rinfo, nullptr, monit, &n); 192 if(status == aoclsparse_status_success || status == aoclsparse_status_user_stop 193 || aoclsparse_status_maxit == status) 194 { 195 norm = calculate_l2Norm_solvers(expected_sol, x, n); 196 197 printf("input = %s\n", filename.c_str()); 198 printf("solver = %s\n", gmres_sol); 199 printf("no of rows = %d\n", (int)m); 200 printf("no of cols = %d\n", (int)n); 201 printf("no of nnz = %d\n", (int)nnz); 202 printf("monitoring tolerance = %e\n", tol); 203 printf("restart iterations = %d\n", (int)rs_iters); 204 printf("residual achieved = %e\n", rinfo[0]); 205 printf("total iterations = %d\n", (int)rinfo[30]); 206 printf("l2 Norm = %e\n", norm); 207 } 208 else 209 { 210 std::cout << "Something unexpected happened!, Status = " << status << std::endl; 211 } 212 213 delete[] expected_sol; 214 delete[] x; 215 delete[] b; 216 aoclsparse_destroy_mat_descr(descr_a); 217 aoclsparse_destroy(&A); 218 aoclsparse_itsol_destroy(&handle); 219 printf("\n"); 220 fflush(stdout); 221 222 return 0; 223}
Note
This function returns control back to the user under certain circumstances. The table in aoclsparse_itsol_rci_job indicates what actions are required to be performed by the user.
- Parameters:
handle – [inout] problem
handle. Needs to be previously initialized by aoclsparse_itsol_s_init or aoclsparse_itsol_d_init or aoclsparse_itsol_c_init or aoclsparse_itsol_z_init and then populated using either aoclsparse_itsol_s_rci_input or aoclsparse_itsol_d_rci_input, or aoclsparse_itsol_c_rci_input or aoclsparse_itsol_z_rci_input as appropriate.ircomm – [inout] pointer to the reverse communication instruction flag and defined in aoclsparse_itsol_rci_job.
u – [inout] pointer to a generic vector of data. The solver will point to the data on which the operation defined by
ircommneeds to be applied.v – [inout] pointer to a generic vector of data. The solver will ask that the result of the operation defined by
ircommbe stored inv.x – [inout] dense vector of unknowns. On input, it should contain the initial guess from which to start the iterative process. If there is no good initial estimate guess then any arbitrary but finite values can be used. On output, it contains an estimate to the solution of the linear system of equations up to the requested tolerance, e.g. see “cg rel tolerance” or “cg abs tolerance” in Options.
rinfo – [out] vector containing information and stats related to the iterative solve, see Information Array. This parameter can be used to monitor progress and define a custom stopping criterion when the solver returns control to user with
ircomm= aoclsparse_rci_stopping_criterion.