Ginkgo  Generated from pipelines/2171896597 branch based on develop. Ginkgo version 1.11.0
A numerical linear algebra library targeting many-core architectures
pipe_cg.hpp
1 // SPDX-FileCopyrightText: 2025 The Ginkgo authors
2 //
3 // SPDX-License-Identifier: BSD-3-Clause
4 
5 #ifndef GKO_PUBLIC_CORE_SOLVER_PIPE_CG_HPP_
6 #define GKO_PUBLIC_CORE_SOLVER_PIPE_CG_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/config/type_descriptor.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 
60 template <typename ValueType = default_precision>
61 class PipeCg
62  : public EnableLinOp<PipeCg<ValueType>>,
63  public EnablePreconditionedIterativeSolver<ValueType, PipeCg<ValueType>>,
64  public Transposable {
65  friend class EnableLinOp<PipeCg>;
66  friend class EnablePolymorphicObject<PipeCg, LinOp>;
67  GKO_ASSERT_SUPPORTED_VALUE_TYPE;
68 
69 public:
70  using value_type = ValueType;
72 
73  std::unique_ptr<LinOp> transpose() const override;
74 
75  std::unique_ptr<LinOp> conj_transpose() const override;
76 
82  bool apply_uses_initial_guess() const override { return true; }
83 
84  class Factory;
85 
88  parameters_type, Factory> {};
89 
92 
106  static parameters_type parse(const config::pnode& config,
107  const config::registry& context,
108  const config::type_descriptor& td_for_child =
109  config::make_type_descriptor<ValueType>());
110 
111 protected:
112  void apply_impl(const LinOp* b, LinOp* x) const override;
113 
114  template <typename VectorType>
115  void apply_dense_impl(const VectorType* b, VectorType* x) const;
116 
117  void apply_impl(const LinOp* alpha, const LinOp* b, const LinOp* beta,
118  LinOp* x) const override;
119 
120  explicit PipeCg(std::shared_ptr<const Executor> exec)
121  : EnableLinOp<PipeCg>(std::move(exec))
122  {}
123 
124  explicit PipeCg(const Factory* factory,
125  std::shared_ptr<const LinOp> system_matrix)
126  : EnableLinOp<PipeCg>(factory->get_executor(),
127  gko::transpose(system_matrix->get_size())),
128  EnablePreconditionedIterativeSolver<ValueType, PipeCg<ValueType>>{
129  std::move(system_matrix), factory->get_parameters()},
130  parameters_{factory->get_parameters()}
131  {}
132 };
133 
134 
135 template <typename ValueType>
136 struct workspace_traits<PipeCg<ValueType>> {
137  using Solver = PipeCg<ValueType>;
138  // number of vectors used by this workspace
139  static int num_vectors(const Solver&);
140  // number of arrays used by this workspace
141  static int num_arrays(const Solver&);
142  // array containing the num_vectors names for the workspace vectors
143  static std::vector<std::string> op_names(const Solver&);
144  // array containing the num_arrays names for the workspace vectors
145  static std::vector<std::string> array_names(const Solver&);
146  // array containing all varying scalar vectors (independent of problem size)
147  static std::vector<int> scalars(const Solver&);
148  // array containing all varying vectors (dependent on problem size)
149  static std::vector<int> vectors(const Solver&);
150 
151  // joint (residual vector | w vector)
152  constexpr static int rw = 0;
153  // preconditioned residual vector
154  constexpr static int z = 1;
155  // p vector
156  constexpr static int p = 2;
157  // m vector
158  constexpr static int m = 3;
159  // n vector
160  constexpr static int n = 4;
161  // q vector
162  constexpr static int q = 5;
163  // f vector
164  constexpr static int f = 6;
165  // g vector
166  constexpr static int g = 7;
167  // beta scalar
168  constexpr static int beta = 8;
169  // (rho|delta) joint scalar
170  constexpr static int rhodelta = 9;
171  // previous rho scalar
172  constexpr static int prev_rho = 10;
173  // constant 1.0 scalar
174  constexpr static int one = 11;
175  // constant -1.0 scalar
176  constexpr static int minus_one = 12;
177 
178  // stopping status array
179  constexpr static int stop = 0;
180  // reduction tmp array
181  constexpr static int tmp = 1;
182 };
183 
184 
185 } // namespace solver
186 } // namespace gko
187 
188 
189 #endif // GKO_PUBLIC_CORE_SOLVER_PIPE_CG_HPP_
gko::solver::PipeCg::transpose
std::unique_ptr< LinOp > transpose() const override
Returns a LinOp representing the transpose of the Transposable object.
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::PipeCg::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: pipe_cg.hpp:82
gko::solver::enable_preconditioned_iterative_solver_factory_parameters
Definition: solver_base.hpp:854
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::PipeCg::Factory
Definition: pipe_cg.hpp:90
gko::solver::PipeCg::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::PipeCg::parameters_type
Definition: pipe_cg.hpp:86
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::PipeCg::conj_transpose
std::unique_ptr< LinOp > conj_transpose() const override
Returns a LinOp representing the conjugate transpose of the Transposable object.
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:243
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:799
gko::one
constexpr T one()
Returns the multiplicative identity for T.
Definition: math.hpp:654
gko::solver::PipeCg
PIPE_CG or the pipelined conjugate gradient method is an iterative type Krylov subspace method which ...
Definition: pipe_cg.hpp:61
gko::EnablePolymorphicObject
This mixin inherits from (a subclass of) PolymorphicObject and provides a base implementation of a ne...
Definition: polymorphic_object.hpp:667