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| 1 | // -*- mode: C++; tab-width: 4; indent-tabs-mode: nil; c-basic-offset: 4 -*- | ||
| 2 | // vi: set et ts=4 sw=4 sts=4: | ||
| 3 | // | ||
| 4 | // SPDX-FileCopyrightInfo: Copyright © DuMux Project contributors, see AUTHORS.md in root folder | ||
| 5 | // SPDX-License-Identifier: GPL-3.0-or-later | ||
| 6 | // | ||
| 7 | /*! | ||
| 8 | * \file | ||
| 9 | * \ingroup Linear | ||
| 10 | * \brief Dumux preconditioners for iterative solvers | ||
| 11 | */ | ||
| 12 | #ifndef DUMUX_LINEAR_PRECONDITIONERS_HH | ||
| 13 | #define DUMUX_LINEAR_PRECONDITIONERS_HH | ||
| 14 | |||
| 15 | #include <dune/common/exceptions.hh> | ||
| 16 | #include <dune/common/float_cmp.hh> | ||
| 17 | #include <dune/common/indices.hh> | ||
| 18 | #include <dune/istl/preconditioners.hh> | ||
| 19 | #include <dune/istl/paamg/amg.hh> | ||
| 20 | #include <dune/istl/gsetc.hh> | ||
| 21 | |||
| 22 | #if HAVE_UMFPACK | ||
| 23 | #include <dune/istl/umfpack.hh> | ||
| 24 | #endif | ||
| 25 | |||
| 26 | #include <dumux/assembly/coloring.hh> | ||
| 27 | #include <dumux/common/parameters.hh> | ||
| 28 | #include <dumux/common/typetraits/matrix.hh> | ||
| 29 | #include <dumux/linear/istlsolverregistry.hh> | ||
| 30 | #include <dumux/parallel/parallel_for.hh> | ||
| 31 | |||
| 32 | namespace Dumux { | ||
| 33 | |||
| 34 | /*! | ||
| 35 | * \ingroup Linear | ||
| 36 | * \brief A preconditioner based on the Uzawa algorithm for saddle-point problems of the form | ||
| 37 | * \f$ | ||
| 38 | \begin{pmatrix} | ||
| 39 | A & B \\ | ||
| 40 | C & D | ||
| 41 | \end{pmatrix} | ||
| 42 | |||
| 43 | \begin{pmatrix} | ||
| 44 | u\\ | ||
| 45 | p | ||
| 46 | \end{pmatrix} | ||
| 47 | |||
| 48 | = | ||
| 49 | |||
| 50 | \begin{pmatrix} | ||
| 51 | f\\ | ||
| 52 | g | ||
| 53 | \end{pmatrix} | ||
| 54 | * \f$ | ||
| 55 | * | ||
| 56 | * This preconditioner is especially suited for solving the incompressible (Navier-)Stokes equations. | ||
| 57 | * Here, \f$D = 0\f$ and \f$B = C^T\f$ if \f$\rho = 1\f$. | ||
| 58 | * We do not expect good convergence if energy or mass transport is considered. | ||
| 59 | * | ||
| 60 | * See: Benzi, M., Golub, G. H., & Liesen, J. (2005). Numerical solution of saddle point problems. Acta numerica, 14, 1-137 \cite benzi2005 and <BR> | ||
| 61 | * Ho, N., Olson, S. D., & Walker, H. F. (2017). Accelerating the Uzawa algorithm. SIAM Journal on Scientific Computing, 39(5), S461-S476 \cite ho2017 | ||
| 62 | * | ||
| 63 | * \tparam M Type of the matrix. | ||
| 64 | * \tparam X Type of the update. | ||
| 65 | * \tparam Y Type of the defect. | ||
| 66 | * \tparam l Preconditioner block level (for compatibility reasons, unused). | ||
| 67 | */ | ||
| 68 | template<class M, class X, class Y, int l = 1> | ||
| 69 | class SeqUzawa : public Dune::Preconditioner<X,Y> | ||
| 70 | { | ||
| 71 | static_assert(Dumux::isMultiTypeBlockMatrix<M>::value && M::M() == 2 && M::N() == 2, "SeqUzawa expects a 2x2 MultiTypeBlockMatrix."); | ||
| 72 | static_assert(l== 1, "SeqUzawa expects a block level of 1."); | ||
| 73 | |||
| 74 | using A = std::decay_t<decltype(std::declval<M>()[Dune::Indices::_0][Dune::Indices::_0])>; | ||
| 75 | using U = std::decay_t<decltype(std::declval<X>()[Dune::Indices::_0])>; | ||
| 76 | |||
| 77 | using Comm = Dune::Amg::SequentialInformation; | ||
| 78 | using LinearOperator = Dune::MatrixAdapter<A, U, U>; | ||
| 79 | using Smoother = Dune::SeqSSOR<A, U, U>; | ||
| 80 | using AMGSolverForA = Dune::Amg::AMG<LinearOperator, U, Smoother, Comm>; | ||
| 81 | |||
| 82 | public: | ||
| 83 | //! \brief The matrix type the preconditioner is for. | ||
| 84 | using matrix_type = M; | ||
| 85 | //! \brief The domain type of the preconditioner. | ||
| 86 | using domain_type = X; | ||
| 87 | //! \brief The range type of the preconditioner. | ||
| 88 | using range_type = Y; | ||
| 89 | //! \brief The field type of the preconditioner. | ||
| 90 | using field_type = typename X::field_type; | ||
| 91 | //! \brief Scalar type underlying the field_type. | ||
| 92 | using scalar_field_type = Dune::Simd::Scalar<field_type>; | ||
| 93 | |||
| 94 | /*! | ||
| 95 | * \brief Constructor | ||
| 96 | * | ||
| 97 | * \param op The linear operator. | ||
| 98 | * \param params Collection of parameters. | ||
| 99 | */ | ||
| 100 | 71 | SeqUzawa(const std::shared_ptr<const Dune::AssembledLinearOperator<M,X,Y>>& op, const Dune::ParameterTree& params) | |
| 101 | 142 | : matrix_(op->getmat()) | |
| 102 |
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142 | , numIterations_(params.get<std::size_t>("iterations")) |
| 103 | , relaxationFactor_(params.get<scalar_field_type>("relaxation")) | ||
| 104 |
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142 | , verbosity_(params.get<int>("verbosity")) |
| 105 | , paramGroup_(params.get<std::string>("ParameterGroup")) | ||
| 106 |
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284 | , useDirectVelocitySolverForA_(getParamFromGroup<bool>(paramGroup_, "LinearSolver.Preconditioner.DirectSolverForA", false)) |
| 107 | { | ||
| 108 |
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71 | const bool determineRelaxationFactor = getParamFromGroup<bool>(paramGroup_, "LinearSolver.Preconditioner.DetermineRelaxationFactor", true); |
| 109 | |||
| 110 | // AMG is needed for determination of omega | ||
| 111 |
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71 | if (determineRelaxationFactor || !useDirectVelocitySolverForA_) |
| 112 |
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71 | initAMG_(params); |
| 113 | |||
| 114 |
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71 | if (useDirectVelocitySolverForA_) |
| 115 | ✗ | initUMFPack_(); | |
| 116 | |||
| 117 |
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71 | if (determineRelaxationFactor) |
| 118 |
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71 | relaxationFactor_ = estimateOmega_(); |
| 119 | 71 | } | |
| 120 | |||
| 121 | /*! | ||
| 122 | * \brief Prepare the preconditioner. | ||
| 123 | */ | ||
| 124 | 71 | virtual void pre(X& x, Y& b) {} | |
| 125 | |||
| 126 | /*! | ||
| 127 | * \brief Apply the preconditioner | ||
| 128 | * | ||
| 129 | * \param update The update to be computed. | ||
| 130 | * \param currentDefect The current defect. | ||
| 131 | */ | ||
| 132 | 2440 | virtual void apply(X& update, const Y& currentDefect) | |
| 133 | { | ||
| 134 | using namespace Dune::Indices; | ||
| 135 | |||
| 136 | 4880 | auto& A = matrix_[_0][_0]; | |
| 137 | 4880 | auto& B = matrix_[_0][_1]; | |
| 138 | 4880 | auto& C = matrix_[_1][_0]; | |
| 139 | 4880 | auto& D = matrix_[_1][_1]; | |
| 140 | |||
| 141 | 2440 | const auto& f = currentDefect[_0]; | |
| 142 | 2440 | const auto& g = currentDefect[_1]; | |
| 143 | 2440 | auto& u = update[_0]; | |
| 144 | 2440 | auto& p = update[_1]; | |
| 145 | |||
| 146 | // incorporate Dirichlet cell values | ||
| 147 | // TODO: pass Dirichlet constraint handler from outside | ||
| 148 |
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5886940 | for (std::size_t i = 0; i < D.N(); ++i) |
| 149 | { | ||
| 150 | 5884500 | const auto& block = D[i][i]; | |
| 151 |
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29422500 | for (auto rowIt = block.begin(); rowIt != block.end(); ++rowIt) |
| 152 |
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23464755 | if (Dune::FloatCmp::eq<scalar_field_type>(rowIt->one_norm(), 1.0)) |
| 153 | 219735 | p[i][rowIt.index()] = g[i][rowIt.index()]; | |
| 154 | } | ||
| 155 | |||
| 156 | // the actual Uzawa iteration | ||
| 157 |
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11750 | for (std::size_t k = 0; k < numIterations_; ++k) |
| 158 | { | ||
| 159 | // u_k+1 = u_k + Q_A^−1*(f − (A*u_k + B*p_k)), | ||
| 160 |
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18620 | auto uRhs = f; |
| 161 | 9310 | A.mmv(u, uRhs); | |
| 162 | 9310 | B.mmv(p, uRhs); | |
| 163 |
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18620 | auto uIncrement = u; |
| 164 |
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9310 | applySolverForA_(uIncrement, uRhs); |
| 165 | 9310 | u += uIncrement; | |
| 166 | |||
| 167 | // p_k+1 = p_k + omega*(g - C*u_k+1 - D*p_k) | ||
| 168 |
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27930 | auto pIncrement = g; |
| 169 | 9310 | C.mmv(u, pIncrement); | |
| 170 | 9310 | D.mmv(p, pIncrement); | |
| 171 | 9310 | pIncrement *= relaxationFactor_; | |
| 172 | 9310 | p += pIncrement; | |
| 173 | |||
| 174 |
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9310 | if (verbosity_ > 1) |
| 175 | { | ||
| 176 | ✗ | std::cout << "Uzawa iteration " << k | |
| 177 | ✗ | << ", residual: " << uRhs.two_norm() + pIncrement.two_norm()/relaxationFactor_ << std::endl; | |
| 178 | } | ||
| 179 | } | ||
| 180 | 2440 | } | |
| 181 | |||
| 182 | /*! | ||
| 183 | * \brief Clean up. | ||
| 184 | */ | ||
| 185 | 71 | virtual void post(X& x) {} | |
| 186 | |||
| 187 | //! Category of the preconditioner (see SolverCategory::Category) | ||
| 188 | 142 | virtual Dune::SolverCategory::Category category() const | |
| 189 | { | ||
| 190 | 142 | return Dune::SolverCategory::sequential; | |
| 191 | } | ||
| 192 | |||
| 193 | private: | ||
| 194 | |||
| 195 | 71 | void initAMG_(const Dune::ParameterTree& params) | |
| 196 | { | ||
| 197 | using namespace Dune::Indices; | ||
| 198 |
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213 | auto linearOperator = std::make_shared<LinearOperator>(matrix_[_0][_0]); |
| 199 |
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71 | amgSolverForA_ = std::make_unique<AMGSolverForA>(linearOperator, params); |
| 200 | 71 | } | |
| 201 | |||
| 202 | ✗ | void initUMFPack_() | |
| 203 | { | ||
| 204 | #if HAVE_UMFPACK | ||
| 205 | using namespace Dune::Indices; | ||
| 206 | ✗ | umfPackSolverForA_ = std::make_unique<Dune::UMFPack<A>>(matrix_[_0][_0]); | |
| 207 | #else | ||
| 208 | DUNE_THROW(Dune::InvalidStateException, "UMFPack not available. Use LinearSolver.Preconditioner.DirectVelocitySolver = false."); | ||
| 209 | #endif | ||
| 210 | ✗ | } | |
| 211 | |||
| 212 | /*! | ||
| 213 | * \brief Estimate the relaxation factor omega | ||
| 214 | * | ||
| 215 | * The optimal relaxation factor is omega = 2/(lambdaMin + lambdaMax), where lambdaMin and lambdaMax are the smallest and largest | ||
| 216 | * eigenvalues of the Schur complement -C*Ainv*B (assuming D = 0). | ||
| 217 | * lambdaMax can be easily determined using the power iteration algorithm (https://en.wikipedia.org/wiki/Power_iteration) and lambdaMin | ||
| 218 | * could be estimated in a similar manner. We do not consider lambdaMin because for certain cases, e.g., when C contains some rows of zeroes only, | ||
| 219 | * this estimate will fail. | ||
| 220 | * | ||
| 221 | * Instead we assume that lambdaMin is sufficiently close to lambdaMax such that omega = 1/lambdaMax. | ||
| 222 | * This seems to work rather well for various applications. | ||
| 223 | * We will underestimate omega by a factor of 2 in the worst case (i.e, lambdaMin = 0). | ||
| 224 | * | ||
| 225 | * When facing convergence issues, you may set LinearSolver.Preconditioner.Verbosity = 1 to see the estimate of lambdaMax. | ||
| 226 | * In a new simulation run, you can then set LinearSolver.Preconditioner.DetermineRelaxationFactor = false and set some other value | ||
| 227 | * for LinearSolver.Preconditioner.Relaxation based on the estimate of lambdaMax. | ||
| 228 | * | ||
| 229 | * See: Benzi, M., Golub, G. H., & Liesen, J. (2005). Numerical solution of saddle point problems. Acta numerica, 14, 1-137. | ||
| 230 | */ | ||
| 231 | 71 | scalar_field_type estimateOmega_() const | |
| 232 | { | ||
| 233 | using namespace Dune::Indices; | ||
| 234 | 142 | auto& A = matrix_[_0][_0]; | |
| 235 | 142 | auto& B = matrix_[_0][_1]; | |
| 236 | 142 | auto& C = matrix_[_1][_0]; | |
| 237 | |||
| 238 |
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71 | U x(A.M()); |
| 239 | 71 | x = 1.0; | |
| 240 | |||
| 241 | 71 | scalar_field_type omega = 0.0; | |
| 242 | 71 | scalar_field_type lambdaMax = 0.0; | |
| 243 | |||
| 244 |
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71 | static const auto iterations = Dumux::getParamFromGroup<std::size_t>(paramGroup_, "LinearSolver.Preconditioner.PowerLawIterations", 5); |
| 245 | |||
| 246 | // apply power iteration x_k+1 = M*x_k/|M*x_k| for the matrix M = -C*Ainv*B | ||
| 247 |
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426 | for (std::size_t i = 0; i < iterations; ++i) |
| 248 | { | ||
| 249 | // bx = B*x | ||
| 250 |
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710 | U bx(x.size()); |
| 251 | 355 | B.mv(x, bx); | |
| 252 | |||
| 253 | // ainvbx = Ainv*(B*x) | ||
| 254 |
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710 | auto ainvbx = x; |
| 255 |
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355 | applySolverForA_(ainvbx, bx); |
| 256 | |||
| 257 | // v = M*x = -C*(Ainv*B*x) | ||
| 258 |
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710 | U v(x.size()); |
| 259 | 355 | C.mv(ainvbx, v); | |
| 260 | 355 | v *= -1.0; | |
| 261 | |||
| 262 | // eigenvalue lambdaMax = xt*M*x/(xt*x) = xt*v/(xt*x); | ||
| 263 | 355 | lambdaMax = x.dot(v)/(x.dot(x)); | |
| 264 | |||
| 265 | // relaxation factor omega = 1/lambda; | ||
| 266 | 355 | omega = 1.0/lambdaMax; | |
| 267 | |||
| 268 | // new iterate x = M*x/|M*x| = v/|v| | ||
| 269 |
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355 | x = v; |
| 270 |
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710 | x /= v.two_norm(); |
| 271 | } | ||
| 272 | |||
| 273 |
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71 | if (verbosity_ > 0) |
| 274 | { | ||
| 275 |
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102 | std::cout << "\n*** Uzawa Preconditioner ***" << std::endl; |
| 276 |
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102 | std::cout << "Estimating relaxation factor based on Schur complement" << std::endl; |
| 277 |
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102 | std::cout << "Largest estimated eigenvalue lambdaMax = " << lambdaMax << std::endl; |
| 278 |
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102 | std::cout << "Relaxation factor omega = 1/lambdaMax = " << omega << std::endl; |
| 279 | } | ||
| 280 | |||
| 281 |
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142 | return omega; |
| 282 | } | ||
| 283 | |||
| 284 | template<class Sol, class Rhs> | ||
| 285 | 9665 | void applySolverForA_(Sol& sol, Rhs& rhs) const | |
| 286 | { | ||
| 287 |
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9665 | if (useDirectVelocitySolverForA_) |
| 288 | { | ||
| 289 | #if HAVE_UMFPACK | ||
| 290 | ✗ | Dune::InverseOperatorResult res; | |
| 291 | ✗ | umfPackSolverForA_->apply(sol, rhs, res); | |
| 292 | #endif | ||
| 293 | } | ||
| 294 | else | ||
| 295 | { | ||
| 296 | 19330 | amgSolverForA_->pre(sol, rhs); | |
| 297 | 19330 | amgSolverForA_->apply(sol, rhs); | |
| 298 | 19330 | amgSolverForA_->post(sol); | |
| 299 | } | ||
| 300 | 9665 | } | |
| 301 | |||
| 302 | //! \brief The matrix we operate on. | ||
| 303 | const M& matrix_; | ||
| 304 | //! \brief The number of steps to do in apply | ||
| 305 | const std::size_t numIterations_; | ||
| 306 | //! \brief The relaxation factor to use | ||
| 307 | scalar_field_type relaxationFactor_; | ||
| 308 | //! \brief The verbosity level | ||
| 309 | const int verbosity_; | ||
| 310 | |||
| 311 | std::unique_ptr<AMGSolverForA> amgSolverForA_; | ||
| 312 | #if HAVE_UMFPACK | ||
| 313 | std::unique_ptr<Dune::UMFPack<A>> umfPackSolverForA_; | ||
| 314 | #endif | ||
| 315 | const std::string paramGroup_; | ||
| 316 | const bool useDirectVelocitySolverForA_; | ||
| 317 | }; | ||
| 318 | |||
| 319 |
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3 | DUMUX_REGISTER_PRECONDITIONER("uzawa", Dumux::MultiTypeBlockMatrixPreconditionerTag, Dune::defaultPreconditionerBlockLevelCreator<Dumux::SeqUzawa, 1>()); |
| 320 | |||
| 321 | |||
| 322 | /*! \brief Multi-threaded Jacobi preconditioner | ||
| 323 | * | ||
| 324 | * \tparam M The matrix type to operate on | ||
| 325 | * \tparam X Type of the update | ||
| 326 | * \tparam Y Type of the defect | ||
| 327 | * \tparam l The block level to invert. Default is 1 | ||
| 328 | */ | ||
| 329 | template<class M, class X, class Y, int l=1> | ||
| 330 | class ParMTJac : public Dune::Preconditioner<X,Y> | ||
| 331 | { | ||
| 332 | public: | ||
| 333 | //! \brief The matrix type the preconditioner is for. | ||
| 334 | typedef M matrix_type; | ||
| 335 | //! \brief The domain type of the preconditioner. | ||
| 336 | typedef X domain_type; | ||
| 337 | //! \brief The range type of the preconditioner. | ||
| 338 | typedef Y range_type; | ||
| 339 | //! \brief The field type of the preconditioner. | ||
| 340 | typedef typename X::field_type field_type; | ||
| 341 | //! \brief scalar type underlying the field_type | ||
| 342 | typedef Dune::Simd::Scalar<field_type> scalar_field_type; | ||
| 343 | //! \brief real scalar type underlying the field_type | ||
| 344 | typedef typename Dune::FieldTraits<scalar_field_type>::real_type real_field_type; | ||
| 345 | |||
| 346 | //! \brief Constructor. | ||
| 347 | 37 | ParMTJac (const M& A, int n, real_field_type w) | |
| 348 | 37 | : _A_(A), numSteps_(n), relaxationFactor_(w) | |
| 349 | 37 | { Dune::CheckIfDiagonalPresent<M,l>::check(_A_); } | |
| 350 | |||
| 351 | 37 | ParMTJac (const std::shared_ptr<const Dune::AssembledLinearOperator<M,X,Y>>& A, const Dune::ParameterTree& configuration) | |
| 352 | 74 | : ParMTJac(A->getmat(), configuration) | |
| 353 | 37 | {} | |
| 354 | |||
| 355 | 37 | ParMTJac (const M& A, const Dune::ParameterTree& configuration) | |
| 356 |
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74 | : ParMTJac(A, configuration.get<int>("iterations",1), configuration.get<real_field_type>("relaxation",1.0)) |
| 357 | 37 | {} | |
| 358 | |||
| 359 | 40 | void pre (X&, Y&) override {} | |
| 360 | |||
| 361 | 543 | void apply (X& update, const Y& defect) override | |
| 362 | { | ||
| 363 |
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1086 | X xOld(update); |
| 364 | 543 | const auto& A = _A_; | |
| 365 | |||
| 366 |
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1338 | for (int k=0; k<numSteps_; k++) |
| 367 | { | ||
| 368 |
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795 | if (k > 0) |
| 369 |
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252 | xOld = update; |
| 370 | |||
| 371 | 795 | Dumux::parallelFor(A.N(), [&](const std::size_t i) | |
| 372 | { | ||
| 373 | 19956744 | auto& row = A[i]; | |
| 374 | 19956744 | auto v = update[i]; | |
| 375 | 19956744 | auto rhs = defect[i]; | |
| 376 | 19956744 | const auto endColIt = row.end(); | |
| 377 | 19956744 | auto colIt = row.begin(); | |
| 378 | |||
| 379 |
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119364384 | for (; colIt.index()<i; ++colIt) |
| 380 | 158901792 | colIt->mmv(xOld[colIt.index()], rhs); | |
| 381 | 19956744 | const auto diag = colIt; | |
| 382 |
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159277872 | for (; colIt != endColIt; ++colIt) |
| 383 | 298410960 | colIt->mmv(xOld[colIt.index()], rhs); | |
| 384 | |||
| 385 | 39913488 | Dune::algmeta_itsteps<l-1, typename M::block_type>::dbjac( | |
| 386 | 39913488 | *diag, v, rhs, relaxationFactor_ | |
| 387 | ); | ||
| 388 | |||
| 389 | 39913488 | update[i].axpy(relaxationFactor_, v); | |
| 390 | }); | ||
| 391 | } | ||
| 392 | 543 | } | |
| 393 | |||
| 394 | 40 | void post (X&) override {} | |
| 395 | |||
| 396 | //! Category of the preconditioner (see SolverCategory::Category) | ||
| 397 | 74 | Dune::SolverCategory::Category category() const override | |
| 398 | 74 | { return Dune::SolverCategory::sequential; } | |
| 399 | |||
| 400 | private: | ||
| 401 | const M& _A_; | ||
| 402 | int numSteps_; | ||
| 403 | real_field_type relaxationFactor_; | ||
| 404 | }; | ||
| 405 | |||
| 406 |
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126 | DUMUX_REGISTER_PRECONDITIONER("par_mt_jac", Dune::PreconditionerTag, Dune::defaultPreconditionerBlockLevelCreator<Dumux::ParMTJac>()); |
| 407 | |||
| 408 | |||
| 409 | namespace Detail::Preconditioners { | ||
| 410 | |||
| 411 | // compute coloring for parallel sweep | ||
| 412 | template<class M> | ||
| 413 | 82 | void computeColorsForMatrixSweep_(const M& matrix, std::deque<std::vector<std::size_t>>& coloredIndices) | |
| 414 | { | ||
| 415 | // allocate some temporary memory | ||
| 416 |
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164 | std::vector<int> colors(matrix.N(), -1); |
| 417 |
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246 | std::vector<int> neighborColors; neighborColors.reserve(30); |
| 418 |
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246 | std::vector<bool> colorUsed; colorUsed.reserve(30); |
| 419 | |||
| 420 | // a row that has my row index in their column set cannot have the same color | ||
| 421 | // TODO this assumes a symmetric matrix pattern | ||
| 422 |
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267560 | for (std::size_t i = 0; i < colors.size(); ++i) |
| 423 | { | ||
| 424 |
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267478 | neighborColors.clear(); |
| 425 | 267478 | auto& row = matrix[i]; | |
| 426 | 267478 | const auto endColIt = row.end(); | |
| 427 |
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1594596 | for (auto colIt = row.begin(); colIt != endColIt; ++colIt) |
| 428 |
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3981354 | neighborColors.push_back(colors[colIt.index()]); |
| 429 | |||
| 430 |
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267478 | const auto c = Detail::smallestAvailableColor(neighborColors, colorUsed); |
| 431 |
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267478 | colors[i] = c; |
| 432 | |||
| 433 | // add element to the set of elements with the same color | ||
| 434 |
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534956 | if (c < coloredIndices.size()) |
| 435 |
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267310 | coloredIndices[c].push_back(i); |
| 436 | else | ||
| 437 |
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168 | coloredIndices.emplace_back(1, i); |
| 438 | } | ||
| 439 | 82 | } | |
| 440 | |||
| 441 | // parallel SOR kernel (relaxed Gauss-Seidel) | ||
| 442 | template<bool forward, int l, class M, class X, class Y, class K> | ||
| 443 | 4040 | void parallelBlockSOR_(const M& A, X& update, const Y& b, const K& relaxationFactor, | |
| 444 | const std::deque<std::vector<std::size_t>>& coloredIndices) | ||
| 445 | { | ||
| 446 |
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20200 | for (int color = 0; color < coloredIndices.size(); ++color) |
| 447 | { | ||
| 448 | 8080 | const auto c = forward ? color : coloredIndices.size()-1-color; | |
| 449 | 8080 | const auto& rowIndices = coloredIndices[c]; | |
| 450 | 117604736 | Dumux::parallelFor(rowIndices.size(), [&](const std::size_t k) | |
| 451 | { | ||
| 452 | 58794288 | const auto i = rowIndices[k]; | |
| 453 | 58794288 | auto& row = A[i]; | |
| 454 | 58794288 | auto v = update[i]; | |
| 455 | 58794288 | auto rhs = b[i]; | |
| 456 | 58794288 | const auto endColIt = row.end(); | |
| 457 | 58794288 | auto colIt = row.begin(); | |
| 458 | |||
| 459 |
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351681568 | for (; colIt.index()<i; ++colIt) |
| 460 | 468185984 | colIt->mmv(update[colIt.index()], rhs); | |
| 461 | 58794288 | const auto diag = colIt; | |
| 462 |
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469270144 | for (; colIt != endColIt; ++colIt) |
| 463 | 879203920 | colIt->mmv(update[colIt.index()], rhs); | |
| 464 | |||
| 465 | if constexpr (forward) | ||
| 466 | 58867248 | Dune::algmeta_itsteps<l-1,typename M::block_type>::bsorf( | |
| 467 | 88300872 | *diag, v, rhs, relaxationFactor | |
| 468 | ); | ||
| 469 | else | ||
| 470 | 58721328 | Dune::algmeta_itsteps<l-1,typename M::block_type>::bsorb( | |
| 471 | 88081992 | *diag, v, rhs, relaxationFactor | |
| 472 | ); | ||
| 473 | |||
| 474 | 176382864 | update[i].axpy(relaxationFactor, v); | |
| 475 | }); | ||
| 476 | } | ||
| 477 | 4040 | } | |
| 478 | |||
| 479 | } // end namespace Detail | ||
| 480 | |||
| 481 | /*! \brief Multi-threaded SOR preconditioner using coloring | ||
| 482 | * | ||
| 483 | * \tparam M The matrix type to operate on | ||
| 484 | * \tparam X Type of the update | ||
| 485 | * \tparam Y Type of the defect | ||
| 486 | * \tparam l The block level to invert. Default is 1 | ||
| 487 | */ | ||
| 488 | template<class M, class X, class Y, int l=1> | ||
| 489 | class ParMTSOR : public Dune::Preconditioner<X,Y> | ||
| 490 | { | ||
| 491 | public: | ||
| 492 | //! \brief The matrix type the preconditioner is for. | ||
| 493 | typedef M matrix_type; | ||
| 494 | //! \brief The domain type of the preconditioner. | ||
| 495 | typedef X domain_type; | ||
| 496 | //! \brief The range type of the preconditioner. | ||
| 497 | typedef Y range_type; | ||
| 498 | //! \brief The field type of the preconditioner. | ||
| 499 | typedef typename X::field_type field_type; | ||
| 500 | //! \brief scalar type underlying the field_type | ||
| 501 | typedef Dune::Simd::Scalar<field_type> scalar_field_type; | ||
| 502 | //! \brief real scalar type underlying the field_type | ||
| 503 | typedef typename Dune::FieldTraits<scalar_field_type>::real_type real_field_type; | ||
| 504 | |||
| 505 | //! \brief Constructor. | ||
| 506 | 41 | ParMTSOR (const M& A, int n, real_field_type w) | |
| 507 | 41 | : _A_(A), numSteps_(n), relaxationFactor_(w) | |
| 508 | { | ||
| 509 | 41 | Dune::CheckIfDiagonalPresent<M,l>::check(_A_); | |
| 510 |
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41 | Detail::Preconditioners::computeColorsForMatrixSweep_(_A_, colors_); |
| 511 | 41 | } | |
| 512 | |||
| 513 | 37 | ParMTSOR (const std::shared_ptr<const Dune::AssembledLinearOperator<M,X,Y>>& A, const Dune::ParameterTree& configuration) | |
| 514 | 74 | : ParMTSOR(A->getmat(), configuration) | |
| 515 | 37 | {} | |
| 516 | |||
| 517 | 37 | ParMTSOR (const M& A, const Dune::ParameterTree& configuration) | |
| 518 |
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74 | : ParMTSOR(A, configuration.get<int>("iterations",1), configuration.get<real_field_type>("relaxation",1.0)) |
| 519 | 37 | {} | |
| 520 | |||
| 521 | 40 | void pre (X&, Y&) override {} | |
| 522 | |||
| 523 | 190 | void apply (X& v, const Y& d) override | |
| 524 | { | ||
| 525 | 380 | this->template apply<true>(v,d); | |
| 526 | 190 | } | |
| 527 | |||
| 528 | template<bool forward> | ||
| 529 | void apply(X& v, const Y& d) | ||
| 530 | { | ||
| 531 |
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1100 | for (int i=0; i<numSteps_; i++) |
| 532 | 670 | Detail::Preconditioners::parallelBlockSOR_<forward, l>(_A_, v, d, relaxationFactor_, colors_); | |
| 533 | } | ||
| 534 | |||
| 535 | 40 | void post (X&) override {} | |
| 536 | |||
| 537 | //! Category of the preconditioner (see SolverCategory::Category) | ||
| 538 | 74 | Dune::SolverCategory::Category category() const override | |
| 539 | 74 | { return Dune::SolverCategory::sequential; } | |
| 540 | |||
| 541 | private: | ||
| 542 | const M& _A_; | ||
| 543 | int numSteps_; | ||
| 544 | real_field_type relaxationFactor_; | ||
| 545 | |||
| 546 | //! for each color a vector of row indices that can be dealt with in parallel | ||
| 547 | std::deque<std::vector<std::size_t>> colors_; | ||
| 548 | }; | ||
| 549 | |||
| 550 |
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126 | DUMUX_REGISTER_PRECONDITIONER("par_mt_sor", Dune::PreconditionerTag, Dune::defaultPreconditionerBlockLevelCreator<Dumux::ParMTSOR>()); |
| 551 | |||
| 552 | |||
| 553 | /*! \brief Multithreaded SSOR preconditioner using coloring | ||
| 554 | * | ||
| 555 | * \tparam M The matrix type to operate on | ||
| 556 | * \tparam X Type of the update | ||
| 557 | * \tparam Y Type of the defect | ||
| 558 | * \tparam l The block level to invert. Default is 1 | ||
| 559 | */ | ||
| 560 | template<class M, class X, class Y, int l=1> | ||
| 561 | class ParMTSSOR : public Dune::Preconditioner<X,Y> | ||
| 562 | { | ||
| 563 | public: | ||
| 564 | //! \brief The matrix type the preconditioner is for. | ||
| 565 | typedef M matrix_type; | ||
| 566 | //! \brief The domain type of the preconditioner. | ||
| 567 | typedef X domain_type; | ||
| 568 | //! \brief The range type of the preconditioner. | ||
| 569 | typedef Y range_type; | ||
| 570 | //! \brief The field type of the preconditioner. | ||
| 571 | typedef typename X::field_type field_type; | ||
| 572 | //! \brief scalar type underlying the field_type | ||
| 573 | typedef Dune::Simd::Scalar<field_type> scalar_field_type; | ||
| 574 | //! \brief real scalar type underlying the field_type | ||
| 575 | typedef typename Dune::FieldTraits<scalar_field_type>::real_type real_field_type; | ||
| 576 | |||
| 577 | //! \brief Constructor. | ||
| 578 | 41 | ParMTSSOR (const M& A, int n, real_field_type w) | |
| 579 | 41 | : _A_(A), numSteps_(n), relaxationFactor_(w) | |
| 580 | { | ||
| 581 | 41 | Dune::CheckIfDiagonalPresent<M,l>::check(_A_); | |
| 582 |
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41 | Detail::Preconditioners::computeColorsForMatrixSweep_(_A_, colors_); |
| 583 | 41 | } | |
| 584 | |||
| 585 | 37 | ParMTSSOR (const std::shared_ptr<const Dune::AssembledLinearOperator<M,X,Y>>& A, const Dune::ParameterTree& configuration) | |
| 586 | 74 | : ParMTSSOR(A->getmat(), configuration) | |
| 587 | 37 | {} | |
| 588 | |||
| 589 | 37 | ParMTSSOR (const M& A, const Dune::ParameterTree& configuration) | |
| 590 |
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74 | : ParMTSSOR(A, configuration.get<int>("iterations",1), configuration.get<real_field_type>("relaxation",1.0)) |
| 591 | 37 | {} | |
| 592 | |||
| 593 | 40 | void pre (X&, Y&) override {} | |
| 594 | |||
| 595 | 423 | void apply (X& v, const Y& d) override | |
| 596 | { | ||
| 597 |
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1098 | for (int i=0; i<numSteps_; i++) |
| 598 | { | ||
| 599 | 675 | Detail::Preconditioners::parallelBlockSOR_<true, l>(_A_, v, d, relaxationFactor_, colors_); | |
| 600 | 675 | Detail::Preconditioners::parallelBlockSOR_<false, l>(_A_, v, d, relaxationFactor_, colors_); | |
| 601 | } | ||
| 602 | 423 | } | |
| 603 | |||
| 604 | 40 | void post (X&) override {} | |
| 605 | |||
| 606 | //! Category of the preconditioner (see SolverCategory::Category) | ||
| 607 | 74 | Dune::SolverCategory::Category category() const override | |
| 608 | 74 | { return Dune::SolverCategory::sequential; } | |
| 609 | |||
| 610 | private: | ||
| 611 | const M& _A_; | ||
| 612 | int numSteps_; | ||
| 613 | real_field_type relaxationFactor_; | ||
| 614 | |||
| 615 | //! for each color a vector of row indices that can be dealt with in parallel | ||
| 616 | std::deque<std::vector<std::size_t>> colors_; | ||
| 617 | }; | ||
| 618 | |||
| 619 |
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126 | DUMUX_REGISTER_PRECONDITIONER("par_mt_ssor", Dune::PreconditionerTag, Dune::defaultPreconditionerBlockLevelCreator<Dumux::ParMTSSOR>()); |
| 620 | |||
| 621 | } // end namespace Dumux | ||
| 622 | |||
| 623 | namespace Dune::Amg { | ||
| 624 | |||
| 625 | // make it possible to use Dumux::ParMTJac as AMG smoother | ||
| 626 | template<class M, class X, class Y, int l> | ||
| 627 | struct ConstructionTraits<Dumux::ParMTJac<M,X,Y,l> > | ||
| 628 | { | ||
| 629 | using Arguments = DefaultConstructionArgs<SeqJac<M,X,Y,l> >; | ||
| 630 | 4 | static inline std::shared_ptr<Dumux::ParMTJac<M,X,Y,l>> construct(Arguments& args) | |
| 631 | { | ||
| 632 | 4 | return std::make_shared<Dumux::ParMTJac<M,X,Y,l>>( | |
| 633 | 8 | args.getMatrix(), args.getArgs().iterations, args.getArgs().relaxationFactor | |
| 634 | 4 | ); | |
| 635 | } | ||
| 636 | }; | ||
| 637 | |||
| 638 | // make it possible to use Dumux::ParMTSOR as AMG smoother | ||
| 639 | template<class M, class X, class Y, int l> | ||
| 640 | struct ConstructionTraits<Dumux::ParMTSOR<M,X,Y,l> > | ||
| 641 | { | ||
| 642 | using Arguments = DefaultConstructionArgs<SeqSOR<M,X,Y,l> >; | ||
| 643 | 4 | static inline std::shared_ptr<Dumux::ParMTSOR<M,X,Y,l>> construct(Arguments& args) | |
| 644 | { | ||
| 645 | 4 | return std::make_shared<Dumux::ParMTSOR<M,X,Y,l>>( | |
| 646 | 8 | args.getMatrix(), args.getArgs().iterations, args.getArgs().relaxationFactor | |
| 647 | 4 | ); | |
| 648 | } | ||
| 649 | }; | ||
| 650 | |||
| 651 | template<class M, class X, class Y, int l> | ||
| 652 | struct SmootherApplier<Dumux::ParMTSOR<M,X,Y,l> > | ||
| 653 | { | ||
| 654 | typedef Dumux::ParMTSOR<M,X,Y,l> Smoother; | ||
| 655 | typedef typename Smoother::range_type Range; | ||
| 656 | typedef typename Smoother::domain_type Domain; | ||
| 657 | |||
| 658 | static void preSmooth(Smoother& smoother, Domain& v, Range& d) | ||
| 659 | 120 | { smoother.template apply<true>(v,d); } | |
| 660 | |||
| 661 | static void postSmooth(Smoother& smoother, Domain& v, Range& d) | ||
| 662 | 120 | { smoother.template apply<false>(v,d); } | |
| 663 | }; | ||
| 664 | |||
| 665 | // make it possible to use Dumux::ParMTSSOR as AMG smoother | ||
| 666 | template<class M, class X, class Y, int l> | ||
| 667 | struct ConstructionTraits<Dumux::ParMTSSOR<M,X,Y,l> > | ||
| 668 | { | ||
| 669 | using Arguments = DefaultConstructionArgs<SeqSSOR<M,X,Y,l> >; | ||
| 670 | 4 | static inline std::shared_ptr<Dumux::ParMTSSOR<M,X,Y,l>> construct(Arguments& args) | |
| 671 | { | ||
| 672 | 4 | return std::make_shared<Dumux::ParMTSSOR<M,X,Y,l>>( | |
| 673 | 8 | args.getMatrix(), args.getArgs().iterations, args.getArgs().relaxationFactor | |
| 674 | 4 | ); | |
| 675 | } | ||
| 676 | }; | ||
| 677 | |||
| 678 | } // end namespace Dune::Amg | ||
| 679 | |||
| 680 | #endif | ||
| 681 |