Ginkgo  Generated from pipelines/1556235455 branch based on develop. Ginkgo version 1.9.0
A numerical linear algebra library targeting many-core architectures
bicg.hpp
1 // SPDX-FileCopyrightText: 2017 - 2024 The Ginkgo authors
2 //
3 // SPDX-License-Identifier: BSD-3-Clause
4 
5 #ifndef GKO_PUBLIC_CORE_SOLVER_BICG_HPP_
6 #define GKO_PUBLIC_CORE_SOLVER_BICG_HPP_
7 
8 
9 #include <vector>
10 
11 #include <ginkgo/core/base/array.hpp>
12 #include <ginkgo/core/base/exception_helpers.hpp>
13 #include <ginkgo/core/base/lin_op.hpp>
14 #include <ginkgo/core/base/math.hpp>
15 #include <ginkgo/core/base/types.hpp>
16 #include <ginkgo/core/config/config.hpp>
17 #include <ginkgo/core/config/registry.hpp>
18 #include <ginkgo/core/log/logger.hpp>
19 #include <ginkgo/core/matrix/csr.hpp>
20 #include <ginkgo/core/matrix/dense.hpp>
21 #include <ginkgo/core/matrix/identity.hpp>
22 #include <ginkgo/core/solver/solver_base.hpp>
23 #include <ginkgo/core/stop/combined.hpp>
24 #include <ginkgo/core/stop/criterion.hpp>
25 
26 
27 namespace gko {
28 namespace solver {
29 
30 
52 template <typename ValueType = default_precision>
53 class Bicg
54  : public EnableLinOp<Bicg<ValueType>>,
55  public EnablePreconditionedIterativeSolver<ValueType, Bicg<ValueType>>,
56  public Transposable {
57  friend class EnableLinOp<Bicg>;
58  friend class EnablePolymorphicObject<Bicg, LinOp>;
59 
60 public:
61  using value_type = ValueType;
63 
64  std::unique_ptr<LinOp> transpose() const override;
65 
66  std::unique_ptr<LinOp> conj_transpose() const override;
67 
73  bool apply_uses_initial_guess() const override { return true; }
74 
75  class Factory;
76 
79  parameters_type, Factory> {};
80 
83 
97  static parameters_type parse(const config::pnode& config,
98  const config::registry& context,
99  const config::type_descriptor& td_for_child =
100  config::make_type_descriptor<ValueType>());
101 
102 protected:
103  void apply_impl(const LinOp* b, LinOp* x) const override;
104 
105  void apply_dense_impl(const matrix::Dense<ValueType>* b,
106  matrix::Dense<ValueType>* x) const;
107 
108  void apply_impl(const LinOp* alpha, const LinOp* b, const LinOp* beta,
109  LinOp* x) const override;
110 
111  explicit Bicg(std::shared_ptr<const Executor> exec)
112  : EnableLinOp<Bicg>(std::move(exec))
113  {}
114 
115  explicit Bicg(const Factory* factory,
116  std::shared_ptr<const LinOp> system_matrix)
117  : EnableLinOp<Bicg>(factory->get_executor(),
118  gko::transpose(system_matrix->get_size())),
119  EnablePreconditionedIterativeSolver<ValueType, Bicg<ValueType>>{
120  std::move(system_matrix), factory->get_parameters()},
121  parameters_{factory->get_parameters()}
122  {}
123 };
124 
125 
126 template <typename ValueType>
127 struct workspace_traits<Bicg<ValueType>> {
128  using Solver = Bicg<ValueType>;
129  // number of vectors used by this workspace
130  static int num_vectors(const Solver&);
131  // number of arrays used by this workspace
132  static int num_arrays(const Solver&);
133  // array containing the num_vectors names for the workspace vectors
134  static std::vector<std::string> op_names(const Solver&);
135  // array containing the num_arrays names for the workspace vectors
136  static std::vector<std::string> array_names(const Solver&);
137  // array containing all varying scalar vectors (independent of problem size)
138  static std::vector<int> scalars(const Solver&);
139  // array containing all varying vectors (dependent on problem size)
140  static std::vector<int> vectors(const Solver&);
141 
142  // residual vector
143  constexpr static int r = 0;
144  // preconditioned residual vector
145  constexpr static int z = 1;
146  // p vector
147  constexpr static int p = 2;
148  // q vector
149  constexpr static int q = 3;
150  // "transposed" residual vector
151  constexpr static int r2 = 4;
152  // "transposed" preconditioned residual vector
153  constexpr static int z2 = 5;
154  // "transposed" p vector
155  constexpr static int p2 = 6;
156  // "transposed" q vector
157  constexpr static int q2 = 7;
158  // beta scalar
159  constexpr static int beta = 8;
160  // previous rho scalar
161  constexpr static int prev_rho = 9;
162  // current rho scalar
163  constexpr static int rho = 10;
164  // constant 1.0 scalar
165  constexpr static int one = 11;
166  // constant -1.0 scalar
167  constexpr static int minus_one = 12;
168 
169  // stopping status array
170  constexpr static int stop = 0;
171  // reduction tmp array
172  constexpr static int tmp = 1;
173 };
174 
175 
176 } // namespace solver
177 } // namespace gko
178 
179 
180 #endif // GKO_PUBLIC_CORE_SOLVER_BICG_HPP_
gko::solver::Bicg
BICG or the Biconjugate gradient method is a Krylov subspace solver.
Definition: bicg.hpp:53
gko::config::pnode
pnode describes a tree of properties.
Definition: property_tree.hpp:28
gko::LinOp
Definition: lin_op.hpp:117
gko::matrix::Dense
Dense is a matrix format which explicitly stores all values of the matrix.
Definition: dense_cache.hpp:19
gko::solver::Bicg::apply_uses_initial_guess
bool apply_uses_initial_guess() const override
Return true as iterative solvers use the data in x as an initial guess.
Definition: bicg.hpp:73
gko::solver::Bicg::transpose
std::unique_ptr< LinOp > transpose() const override
Returns a LinOp representing the transpose of the Transposable object.
gko::Transposable
Linear operators which support transposition should implement the Transposable interface.
Definition: lin_op.hpp:433
gko::solver::enable_preconditioned_iterative_solver_factory_parameters
Definition: solver_base.hpp:839
gko::config::type_descriptor
This class describes the value and index types to be used when building a Ginkgo type from a configur...
Definition: type_descriptor.hpp:39
gko
The Ginkgo namespace.
Definition: abstract_factory.hpp:20
gko::solver::Bicg::parameters_type
Definition: bicg.hpp:77
gko::solver::Bicg::conj_transpose
std::unique_ptr< LinOp > conj_transpose() const override
Returns a LinOp representing the conjugate transpose of the Transposable object.
GKO_ENABLE_LIN_OP_FACTORY
#define GKO_ENABLE_LIN_OP_FACTORY(_lin_op, _parameters_name, _factory_name)
This macro will generate a default implementation of a LinOpFactory for the LinOp subclass it is defi...
Definition: lin_op.hpp:1017
gko::solver::Bicg::parse
static parameters_type parse(const config::pnode &config, const config::registry &context, const config::type_descriptor &td_for_child=config::make_type_descriptor< ValueType >())
Create the parameters from the property_tree.
gko::solver::Bicg::Factory
Definition: bicg.hpp:81
gko::config::registry
This class stores additional context for creating Ginkgo objects from configuration files.
Definition: registry.hpp:167
GKO_ENABLE_BUILD_METHOD
#define GKO_ENABLE_BUILD_METHOD(_factory_name)
Defines a build method for the factory, simplifying its construction by removing the repetitive typin...
Definition: abstract_factory.hpp:394
gko::PolymorphicObject::get_executor
std::shared_ptr< const Executor > get_executor() const noexcept
Returns the Executor of the object.
Definition: polymorphic_object.hpp:234
gko::solver::workspace_traits
Traits class providing information on the type and location of workspace vectors inside a solver.
Definition: solver_base.hpp:238
gko::LinOp::get_size
const dim< 2 > & get_size() const noexcept
Returns the size of the operator.
Definition: lin_op.hpp:210
gko::EnableLinOp
The EnableLinOp mixin can be used to provide sensible default implementations of the majority of the ...
Definition: lin_op.hpp:877
gko::solver::EnablePreconditionedIterativeSolver
A LinOp implementing this interface stores a system matrix and stopping criterion factory.
Definition: solver_base.hpp:784
gko::one
constexpr T one()
Returns the multiplicative identity for T.
Definition: math.hpp:652
gko::EnablePolymorphicObject
This mixin inherits from (a subclass of) PolymorphicObject and provides a base implementation of a ne...
Definition: polymorphic_object.hpp:661