Ginkgo  Generated from pipelines/1330831941 branch based on master. Ginkgo version 1.8.0
A numerical linear algebra library targeting many-core architectures
cgs.hpp
1 // SPDX-FileCopyrightText: 2017 - 2024 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 
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/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 
44 template <typename ValueType = default_precision>
45 class Cgs
46  : public EnableLinOp<Cgs<ValueType>>,
47  public EnablePreconditionedIterativeSolver<ValueType, Cgs<ValueType>>,
48  public Transposable {
49  friend class EnableLinOp<Cgs>;
50  friend class EnablePolymorphicObject<Cgs, LinOp>;
51 
52 public:
53  using value_type = ValueType;
55 
56  std::unique_ptr<LinOp> transpose() const override;
57 
58  std::unique_ptr<LinOp> conj_transpose() const override;
59 
65  bool apply_uses_initial_guess() const override { return true; }
66 
67  class Factory;
68 
71  parameters_type, Factory> {};
72 
75 
89  static parameters_type parse(const config::pnode& config,
90  const config::registry& context,
91  const config::type_descriptor& td_for_child =
92  config::make_type_descriptor<ValueType>());
93 
94 protected:
95  void apply_impl(const LinOp* b, LinOp* x) const override;
96 
97  template <typename VectorType>
98  void apply_dense_impl(const VectorType* b, VectorType* x) const;
99 
100  void apply_impl(const LinOp* alpha, const LinOp* b, const LinOp* beta,
101  LinOp* x) const override;
102 
103  explicit Cgs(std::shared_ptr<const Executor> exec)
104  : EnableLinOp<Cgs>(std::move(exec))
105  {}
106 
107  explicit Cgs(const Factory* factory,
108  std::shared_ptr<const LinOp> system_matrix)
109  : EnableLinOp<Cgs>(factory->get_executor(),
110  gko::transpose(system_matrix->get_size())),
111  EnablePreconditionedIterativeSolver<ValueType, Cgs<ValueType>>{
112  std::move(system_matrix), factory->get_parameters()},
113  parameters_{factory->get_parameters()}
114  {}
115 };
116 
117 
118 template <typename ValueType>
119 struct workspace_traits<Cgs<ValueType>> {
120  using Solver = Cgs<ValueType>;
121  // number of vectors used by this workspace
122  static int num_vectors(const Solver&);
123  // number of arrays used by this workspace
124  static int num_arrays(const Solver&);
125  // array containing the num_vectors names for the workspace vectors
126  static std::vector<std::string> op_names(const Solver&);
127  // array containing the num_arrays names for the workspace vectors
128  static std::vector<std::string> array_names(const Solver&);
129  // array containing all varying scalar vectors (independent of problem size)
130  static std::vector<int> scalars(const Solver&);
131  // array containing all varying vectors (dependent on problem size)
132  static std::vector<int> vectors(const Solver&);
133 
134  // residual vector
135  constexpr static int r = 0;
136  // r tilde vector
137  constexpr static int r_tld = 1;
138  // p vector
139  constexpr static int p = 2;
140  // q vector
141  constexpr static int q = 3;
142  // u vector
143  constexpr static int u = 4;
144  // u hat vector
145  constexpr static int u_hat = 5;
146  // v hat vector
147  constexpr static int v_hat = 6;
148  // t vector
149  constexpr static int t = 7;
150  // alpha scalar
151  constexpr static int alpha = 8;
152  // beta scalar
153  constexpr static int beta = 9;
154  // beta scalar
155  constexpr static int gamma = 10;
156  // previous rho scalar
157  constexpr static int prev_rho = 11;
158  // current rho scalar
159  constexpr static int rho = 12;
160  // constant 1.0 scalar
161  constexpr static int one = 13;
162  // constant -1.0 scalar
163  constexpr static int minus_one = 14;
164 
165  // stopping status array
166  constexpr static int stop = 0;
167  // reduction tmp array
168  constexpr static int tmp = 1;
169 };
170 
171 
172 } // namespace solver
173 } // namespace gko
174 
175 
176 #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:73
gko::LinOp
Definition: lin_op.hpp:118
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::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:37
gko::solver::Cgs::parameters_type
Definition: cgs.hpp:69
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:1018
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: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::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:65
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::solver::Cgs
CGS or the conjugate gradient square method is an iterative type Krylov subspace method which is suit...
Definition: cgs.hpp:45
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