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Ginkgo
Generated from pipelines/1589998975 branch based on develop. Ginkgo version 1.10.0
A numerical linear algebra library targeting many-core architectures
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5 #ifndef GKO_PUBLIC_CORE_DISTRIBUTED_PRECONDITIONER_SCHWARZ_HPP_
6 #define GKO_PUBLIC_CORE_DISTRIBUTED_PRECONDITIONER_SCHWARZ_HPP_
9 #include <ginkgo/config.hpp>
15 #include <ginkgo/core/base/abstract_factory.hpp>
16 #include <ginkgo/core/base/lin_op.hpp>
17 #include <ginkgo/core/config/config.hpp>
18 #include <ginkgo/core/config/registry.hpp>
19 #include <ginkgo/core/config/type_descriptor.hpp>
20 #include <ginkgo/core/distributed/matrix.hpp>
21 #include <ginkgo/core/distributed/vector.hpp>
22 #include <ginkgo/core/distributed/vector_cache.hpp>
26 namespace experimental {
27 namespace distributed {
33 namespace preconditioner {
55 typename LocalIndexType =
int32,
typename GlobalIndexType =
int64>
57 :
public EnableLinOp<Schwarz<ValueType, LocalIndexType, GlobalIndexType>> {
64 using value_type = ValueType;
65 using index_type = GlobalIndexType;
66 using local_index_type = LocalIndexType;
67 using global_index_type = GlobalIndexType;
84 std::shared_ptr<const LinOpFactory> GKO_DEFERRED_FACTORY_PARAMETER(
91 generated_local_solver,
nullptr);
110 static parameters_type
parse(
113 config::make_type_descriptor<ValueType, LocalIndexType,
122 explicit Schwarz(std::shared_ptr<const Executor> exec)
134 std::shared_ptr<const LinOp> system_matrix)
137 parameters_{factory->get_parameters()}
139 this->generate(system_matrix);
145 void generate(std::shared_ptr<const LinOp> system_matrix);
147 void apply_impl(
const LinOp* b,
LinOp* x)
const override;
149 template <
typename VectorType>
150 void apply_dense_impl(
const VectorType* b, VectorType* x)
const;
153 LinOp* x)
const override;
161 void set_solver(std::shared_ptr<const LinOp> new_solver);
163 std::shared_ptr<const LinOp> local_solver_;
165 detail::VectorCache<ValueType> cache_;
175 #endif // GINKGO_BUILD_MPI
176 #endif // GKO_PUBLIC_CORE_DISTRIBUTED_PRECONDITIONER_SCHWARZ_HPP_
pnode describes a tree of properties.
Definition: property_tree.hpp:28
bool apply_uses_initial_guess() const override
Return whether the local solvers use the data in x as an initial guess.
Definition: lin_op.hpp:117
#define GKO_FACTORY_PARAMETER_SCALAR(_name, _default)
Creates a scalar factory parameter in the factory parameters structure.
Definition: abstract_factory.hpp:445
static parameters_type parse(const config::pnode &config, const config::registry &context, const config::type_descriptor &td_for_child=config::make_type_descriptor< ValueType, LocalIndexType, GlobalIndexType >())
Create the parameters from the property_tree.
This class describes the value and index types to be used when building a Ginkgo type from a configur...
Definition: type_descriptor.hpp:39
The Ginkgo namespace.
Definition: abstract_factory.hpp:20
Definition: schwarz.hpp:93
#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
batch_dim< 2, DimensionType > transpose(const batch_dim< 2, DimensionType > &input)
Returns a batch_dim object with its dimensions swapped for batched operators.
Definition: batch_dim.hpp:119
std::int64_t int64
64-bit signed integral type.
Definition: types.hpp:112
double default_precision
Precision used if no precision is explicitly specified.
Definition: types.hpp:171
std::int32_t int32
32-bit signed integral type.
Definition: types.hpp:106
This class stores additional context for creating Ginkgo objects from configuration files.
Definition: registry.hpp:167
#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
#define GKO_CREATE_FACTORY_PARAMETERS(_parameters_name, _factory_name)
This Macro will generate a new type containing the parameters for the factory _factory_name.
Definition: abstract_factory.hpp:280
std::shared_ptr< const Executor > get_executor() const noexcept
Returns the Executor of the object.
Definition: polymorphic_object.hpp:243
const dim< 2 > & get_size() const noexcept
Returns the size of the operator.
Definition: lin_op.hpp:210
The EnableLinOp mixin can be used to provide sensible default implementations of the majority of the ...
Definition: lin_op.hpp:877
A Schwarz preconditioner is a simple domain decomposition preconditioner that generalizes the Block J...
Definition: schwarz.hpp:56
This mixin inherits from (a subclass of) PolymorphicObject and provides a base implementation of a ne...
Definition: polymorphic_object.hpp:667