Ginkgo  Generated from pipelines/1330831941 branch based on master. Ginkgo version 1.8.0
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 
12 #include <ginkgo/core/base/array.hpp>
13 #include <ginkgo/core/base/exception_helpers.hpp>
14 #include <ginkgo/core/base/lin_op.hpp>
15 #include <ginkgo/core/base/math.hpp>
16 #include <ginkgo/core/base/types.hpp>
17 #include <ginkgo/core/config/config.hpp>
18 #include <ginkgo/core/config/registry.hpp>
19 #include <ginkgo/core/log/logger.hpp>
20 #include <ginkgo/core/matrix/csr.hpp>
21 #include <ginkgo/core/matrix/dense.hpp>
22 #include <ginkgo/core/matrix/identity.hpp>
23 #include <ginkgo/core/solver/solver_base.hpp>
24 #include <ginkgo/core/stop/combined.hpp>
25 #include <ginkgo/core/stop/criterion.hpp>
26 
27 
28 namespace gko {
29 namespace solver {
30 
31 
53 template <typename ValueType = default_precision>
54 class Bicg
55  : public EnableLinOp<Bicg<ValueType>>,
56  public EnablePreconditionedIterativeSolver<ValueType, Bicg<ValueType>>,
57  public Transposable {
58  friend class EnableLinOp<Bicg>;
59  friend class EnablePolymorphicObject<Bicg, LinOp>;
60 
61 public:
62  using value_type = ValueType;
64 
65  std::unique_ptr<LinOp> transpose() const override;
66 
67  std::unique_ptr<LinOp> conj_transpose() const override;
68 
74  bool apply_uses_initial_guess() const override { return true; }
75 
76  class Factory;
77 
80  parameters_type, Factory> {};
81 
84 
98  static parameters_type parse(const config::pnode& config,
99  const config::registry& context,
100  const config::type_descriptor& td_for_child =
101  config::make_type_descriptor<ValueType>());
102 
103 protected:
104  void apply_impl(const LinOp* b, LinOp* x) const override;
105 
106  void apply_dense_impl(const matrix::Dense<ValueType>* b,
107  matrix::Dense<ValueType>* x) const;
108 
109  void apply_impl(const LinOp* alpha, const LinOp* b, const LinOp* beta,
110  LinOp* x) const override;
111 
112  explicit Bicg(std::shared_ptr<const Executor> exec)
113  : EnableLinOp<Bicg>(std::move(exec))
114  {}
115 
116  explicit Bicg(const Factory* factory,
117  std::shared_ptr<const LinOp> system_matrix)
118  : EnableLinOp<Bicg>(factory->get_executor(),
119  gko::transpose(system_matrix->get_size())),
120  EnablePreconditionedIterativeSolver<ValueType, Bicg<ValueType>>{
121  std::move(system_matrix), factory->get_parameters()},
122  parameters_{factory->get_parameters()}
123  {}
124 };
125 
126 
127 template <typename ValueType>
128 struct workspace_traits<Bicg<ValueType>> {
129  using Solver = Bicg<ValueType>;
130  // number of vectors used by this workspace
131  static int num_vectors(const Solver&);
132  // number of arrays used by this workspace
133  static int num_arrays(const Solver&);
134  // array containing the num_vectors names for the workspace vectors
135  static std::vector<std::string> op_names(const Solver&);
136  // array containing the num_arrays names for the workspace vectors
137  static std::vector<std::string> array_names(const Solver&);
138  // array containing all varying scalar vectors (independent of problem size)
139  static std::vector<int> scalars(const Solver&);
140  // array containing all varying vectors (dependent on problem size)
141  static std::vector<int> vectors(const Solver&);
142 
143  // residual vector
144  constexpr static int r = 0;
145  // preconditioned residual vector
146  constexpr static int z = 1;
147  // p vector
148  constexpr static int p = 2;
149  // q vector
150  constexpr static int q = 3;
151  // "transposed" residual vector
152  constexpr static int r2 = 4;
153  // "transposed" preconditioned residual vector
154  constexpr static int z2 = 5;
155  // "transposed" p vector
156  constexpr static int p2 = 6;
157  // "transposed" q vector
158  constexpr static int q2 = 7;
159  // alpha scalar
160  constexpr static int alpha = 8;
161  // beta scalar
162  constexpr static int beta = 9;
163  // previous rho scalar
164  constexpr static int prev_rho = 10;
165  // current rho scalar
166  constexpr static int rho = 11;
167  // constant 1.0 scalar
168  constexpr static int one = 12;
169  // constant -1.0 scalar
170  constexpr static int minus_one = 13;
171 
172  // stopping status array
173  constexpr static int stop = 0;
174  // reduction tmp array
175  constexpr static int tmp = 1;
176 };
177 
178 
179 } // namespace solver
180 } // namespace gko
181 
182 
183 #endif // GKO_PUBLIC_CORE_SOLVER_BICG_HPP_
gko::solver::Bicg
BICG or the Biconjugate gradient method is a Krylov subspace solver.
Definition: bicg.hpp:54
gko::config::pnode
pnode describes a tree of properties.
Definition: property_tree.hpp:28
gko::LinOp
Definition: lin_op.hpp:118
gko::matrix::Dense
Dense is a matrix format which explicitly stores all values of the matrix.
Definition: dense_cache.hpp:20
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:74
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:434
gko::solver::enable_preconditioned_iterative_solver_factory_parameters
Definition: solver_base.hpp:840
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:37
gko
The Ginkgo namespace.
Definition: abstract_factory.hpp:20
gko::solver::Bicg::parameters_type
Definition: bicg.hpp:78
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:1018
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:82
gko::config::registry
This class stores additional context for creating Ginkgo objects from configuration files.
Definition: registry.hpp:168
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:235
gko::solver::workspace_traits
Traits class providing information on the type and location of workspace vectors inside a solver.
Definition: solver_base.hpp:239
gko::LinOp::get_size
const dim< 2 > & get_size() const noexcept
Returns the size of the operator.
Definition: lin_op.hpp:211
gko::EnableLinOp
The EnableLinOp mixin can be used to provide sensible default implementations of the majority of the ...
Definition: lin_op.hpp:878
gko::solver::EnablePreconditionedIterativeSolver
A LinOp implementing this interface stores a system matrix and stopping criterion factory.
Definition: solver_base.hpp:785
gko::one
constexpr T one()
Returns the multiplicative identity for T.
Definition: math.hpp:775
gko::EnablePolymorphicObject
This mixin inherits from (a subclass of) PolymorphicObject and provides a base implementation of a ne...
Definition: polymorphic_object.hpp:662