Ginkgo  Generated from pipelines/2662685947 branch based on develop. Ginkgo version 2.0.0
A numerical linear algebra library targeting many-core architectures
cgs.hpp
1 // SPDX-FileCopyrightText: 2017 - 2026 The Ginkgo authors
2 //
3 // SPDX-License-Identifier: BSD-3-Clause
4 
5 #ifndef GKO_PUBLIC_CORE_SOLVER_CGS_HPP_
6 #define GKO_PUBLIC_CORE_SOLVER_CGS_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 {
27 namespace solver {
28 
29 
43 template <typename ValueType = default_precision>
44 class Cgs
45  : public LinOp,
46  public EnablePreconditionedIterativeSolver<ValueType, Cgs<ValueType>>,
47  public Transposable {
48  GKO_ASSERT_SUPPORTED_VALUE_TYPE;
49 
50 public:
51  using value_type = ValueType;
53 
54  std::unique_ptr<LinOp> transpose() const override;
55 
56  std::unique_ptr<LinOp> conj_transpose() const override;
57 
63  bool apply_uses_initial_guess() const override { return true; }
64 
65  class Factory;
66 
69  parameters_type, Factory> {};
70 
73 
87  static parameters_type parse(const config::pnode& config,
88  const config::registry& context,
89  const config::type_descriptor& td_for_child =
90  config::make_type_descriptor<ValueType>());
91 
92 protected:
93  void apply_impl(const LinOp* b, LinOp* x) const override;
94 
95  template <typename VectorType>
96  void apply_dense_impl(const VectorType* b, VectorType* x) const;
97 
98  void apply_impl(const LinOp* alpha, const LinOp* b, const LinOp* beta,
99  LinOp* x) const override;
100 
101  explicit Cgs(std::shared_ptr<const Executor> exec) : LinOp(std::move(exec))
102  {}
103 
104  explicit Cgs(const Factory* factory,
105  std::shared_ptr<const LinOp> system_matrix)
106  : LinOp(factory->get_executor(),
107  gko::transpose(system_matrix->get_size())),
108  EnablePreconditionedIterativeSolver<ValueType, Cgs<ValueType>>{
109  std::move(system_matrix), factory->get_parameters()},
110  parameters_{factory->get_parameters()}
111  {}
112 };
113 
114 
115 template <typename ValueType>
116 struct workspace_traits<Cgs<ValueType>> {
117  using Solver = Cgs<ValueType>;
118  // number of vectors used by this workspace
119  static int num_vectors(const Solver&);
120  // number of arrays used by this workspace
121  static int num_arrays(const Solver&);
122  // array containing the num_vectors names for the workspace vectors
123  static std::vector<std::string> op_names(const Solver&);
124  // array containing the num_arrays names for the workspace vectors
125  static std::vector<std::string> array_names(const Solver&);
126  // array containing all varying scalar vectors (independent of problem size)
127  static std::vector<int> scalars(const Solver&);
128  // array containing all varying vectors (dependent on problem size)
129  static std::vector<int> vectors(const Solver&);
130 
131  // residual vector
132  constexpr static int r = 0;
133  // r tilde vector
134  constexpr static int r_tld = 1;
135  // p vector
136  constexpr static int p = 2;
137  // q vector
138  constexpr static int q = 3;
139  // u vector
140  constexpr static int u = 4;
141  // u hat vector
142  constexpr static int u_hat = 5;
143  // v hat vector
144  constexpr static int v_hat = 6;
145  // t vector
146  constexpr static int t = 7;
147  // alpha scalar
148  constexpr static int alpha = 8;
149  // beta scalar
150  constexpr static int beta = 9;
151  // beta scalar
152  constexpr static int gamma = 10;
153  // previous rho scalar
154  constexpr static int prev_rho = 11;
155  // current rho scalar
156  constexpr static int rho = 12;
157  // constant 1.0 scalar
158  constexpr static int one = 13;
159  // constant -1.0 scalar
160  constexpr static int minus_one = 14;
161 
162  // stopping status array
163  constexpr static int stop = 0;
164  // reduction tmp array
165  constexpr static int tmp = 1;
166 };
167 
168 
169 } // namespace solver
170 } // namespace gko
171 
172 
173 #endif // GKO_PUBLIC_CORE_SOLVER_CGS_HPP_
gko::config::pnode
pnode describes a tree of properties.
Definition: property_tree.hpp:28
gko::log::profile_event_category::solver
Solver events.
gko::solver::Cgs::Factory
Definition: cgs.hpp:71
gko::LinOp
Definition: lin_op.hpp:117
gko::Transposable
Linear operators which support transposition should implement the Transposable interface.
Definition: lin_op.hpp:392
gko::solver::enable_preconditioned_iterative_solver_factory_parameters
Definition: solver_base.hpp:855
gko::solver::Cgs::conj_transpose
std::unique_ptr< LinOp > conj_transpose() const override
Returns a LinOp representing the conjugate transpose of the Transposable object.
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::Cgs::parameters_type
Definition: cgs.hpp:67
gko
The Ginkgo namespace.
Definition: abstract_factory.hpp:20
gko::solver::Cgs::transpose
std::unique_ptr< LinOp > transpose() const override
Returns a LinOp representing the 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:900
gko::solver::Cgs::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::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:386
gko::solver::Cgs::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: cgs.hpp:63
gko::PolymorphicObject::get_executor
std::shared_ptr< const Executor > get_executor() const noexcept
Returns the Executor of the object.
Definition: polymorphic_object.hpp:62
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:169
gko::solver::Cgs
CGS or the conjugate gradient square method is an iterative type Krylov subspace method which is suit...
Definition: cgs.hpp:44
gko::solver::EnablePreconditionedIterativeSolver
A LinOp implementing this interface stores a system matrix and stopping criterion factory.
Definition: solver_base.hpp:800
gko::one
constexpr T one()
Returns the multiplicative identity for T.
Definition: math.hpp:654