Ginkgo  Generated from pipelines/1478841010 branch based on develop. Ginkgo version 1.9.0
A numerical linear algebra library targeting many-core architectures
bicgstab.hpp
1 // SPDX-FileCopyrightText: 2017 - 2024 The Ginkgo authors
2 //
3 // SPDX-License-Identifier: BSD-3-Clause
4 
5 #ifndef GKO_PUBLIC_CORE_SOLVER_BICGSTAB_HPP_
6 #define GKO_PUBLIC_CORE_SOLVER_BICGSTAB_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/dense.hpp>
20 #include <ginkgo/core/matrix/identity.hpp>
21 #include <ginkgo/core/solver/solver_base.hpp>
22 #include <ginkgo/core/stop/combined.hpp>
23 #include <ginkgo/core/stop/criterion.hpp>
24 
25 
26 namespace gko {
32 namespace solver {
33 
34 
50 template <typename ValueType = default_precision>
51 class Bicgstab
52  : public EnableLinOp<Bicgstab<ValueType>>,
53  public EnablePreconditionedIterativeSolver<ValueType,
54  Bicgstab<ValueType>>,
55  public Transposable {
56  friend class EnableLinOp<Bicgstab>;
57  friend class EnablePolymorphicObject<Bicgstab, LinOp>;
58 
59 public:
60  using value_type = ValueType;
62 
63  std::unique_ptr<LinOp> transpose() const override;
64 
65  std::unique_ptr<LinOp> conj_transpose() const override;
66 
72  bool apply_uses_initial_guess() const override { return true; }
73 
74  class Factory;
77  parameters_type, Factory> {};
78 
81 
95  static parameters_type parse(const config::pnode& config,
96  const config::registry& context,
97  const config::type_descriptor& td_for_child =
98  config::make_type_descriptor<ValueType>());
99 
100 protected:
101  void apply_impl(const LinOp* b, LinOp* x) const override;
102 
103  template <typename VectorType>
104  void apply_dense_impl(const VectorType* b, VectorType* x) const;
105 
106  void apply_impl(const LinOp* alpha, const LinOp* b, const LinOp* beta,
107  LinOp* x) const override;
108 
109  explicit Bicgstab(std::shared_ptr<const Executor> exec)
110  : EnableLinOp<Bicgstab>(std::move(exec))
111  {}
112 
113  explicit Bicgstab(const Factory* factory,
114  std::shared_ptr<const LinOp> system_matrix)
115  : EnableLinOp<Bicgstab>(factory->get_executor(),
116  gko::transpose(system_matrix->get_size())),
117  EnablePreconditionedIterativeSolver<ValueType, Bicgstab<ValueType>>{
118  std::move(system_matrix), factory->get_parameters()},
119  parameters_{factory->get_parameters()}
120  {}
121 };
122 
123 
124 template <typename ValueType>
125 struct workspace_traits<Bicgstab<ValueType>> {
126  using Solver = Bicgstab<ValueType>;
127  // number of vectors used by this workspace
128  static int num_vectors(const Solver&);
129  // number of arrays used by this workspace
130  static int num_arrays(const Solver&);
131  // array containing the num_vectors names for the workspace vectors
132  static std::vector<std::string> op_names(const Solver&);
133  // array containing the num_arrays names for the workspace vectors
134  static std::vector<std::string> array_names(const Solver&);
135  // array containing all varying scalar vectors (independent of problem size)
136  static std::vector<int> scalars(const Solver&);
137  // array containing all varying vectors (dependent on problem size)
138  static std::vector<int> vectors(const Solver&);
139 
140  // residual vector
141  constexpr static int r = 0;
142  // preconditioned residual vector
143  constexpr static int z = 1;
144  // y vector
145  constexpr static int y = 2;
146  // v vector
147  constexpr static int v = 3;
148  // s vector
149  constexpr static int s = 4;
150  // t vector
151  constexpr static int t = 5;
152  // p vector
153  constexpr static int p = 6;
154  // rr vector
155  constexpr static int rr = 7;
156  // alpha scalar
157  constexpr static int alpha = 8;
158  // beta scalar
159  constexpr static int beta = 9;
160  // gamma scalar
161  constexpr static int gamma = 10;
162  // previous rho scalar
163  constexpr static int prev_rho = 11;
164  // current rho scalar
165  constexpr static int rho = 12;
166  // omega scalar
167  constexpr static int omega = 13;
168  // constant 1.0 scalar
169  constexpr static int one = 14;
170  // constant -1.0 scalar
171  constexpr static int minus_one = 15;
172 
173  // stopping status array
174  constexpr static int stop = 0;
175  // reduction tmp array
176  constexpr static int tmp = 1;
177 };
178 
179 
180 } // namespace solver
181 } // namespace gko
182 
183 
184 #endif // GKO_PUBLIC_CORE_SOLVER_BICGSTAB_HPP_
gko::solver::Bicgstab::parameters_type
Definition: bicgstab.hpp:75
gko::config::pnode
pnode describes a tree of properties.
Definition: property_tree.hpp:28
gko::log::profile_event_category::solver
Solver events.
gko::LinOp
Definition: lin_op.hpp:117
gko::Transposable
Linear operators which support transposition should implement the Transposable interface.
Definition: lin_op.hpp:433
gko::solver::Bicgstab
BiCGSTAB or the Bi-Conjugate Gradient-Stabilized is a Krylov subspace solver.
Definition: bicgstab.hpp:51
gko::solver::Bicgstab::conj_transpose
std::unique_ptr< LinOp > conj_transpose() const override
Returns a LinOp representing the conjugate transpose of the Transposable object.
gko::solver::enable_preconditioned_iterative_solver_factory_parameters
Definition: solver_base.hpp:839
gko::solver::Bicgstab::Factory
Definition: bicgstab.hpp:79
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::solver::Bicgstab::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
The Ginkgo namespace.
Definition: abstract_factory.hpp:20
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::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::solver::Bicgstab::transpose
std::unique_ptr< LinOp > transpose() const override
Returns a LinOp representing the transpose of the Transposable object.
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::solver::Bicgstab::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: bicgstab.hpp:72
gko::one
constexpr T one()
Returns the multiplicative identity for T.
Definition: math.hpp:774
gko::EnablePolymorphicObject
This mixin inherits from (a subclass of) PolymorphicObject and provides a base implementation of a ne...
Definition: polymorphic_object.hpp:661