added: option to disable the BDA solvers

This commit is contained in:
Arne Morten Kvarving
2023-08-09 15:39:32 +02:00
committed by hnil
parent 07fb18422d
commit 896cb8484d
8 changed files with 257 additions and 223 deletions

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@@ -34,7 +34,12 @@
#include <opm/simulators/flow/SubDomain.hpp>
#include <opm/simulators/linalg/extractMatrix.hpp>
#if COMPILE_BDA_BRIDGE
#include <opm/simulators/linalg/ISTLSolverEbosWithGPU.hpp>
#else
#include <opm/simulators/linalg/ISTLSolverEbos.hpp>
#endif
#include <opm/simulators/timestepping/ConvergenceReport.hpp>
#include <opm/simulators/timestepping/SimulatorReport.hpp>

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@@ -21,14 +21,15 @@
#ifndef OPM_ISTLSOLVER_EBOS_WITH_GPU_HEADER_INCLUDED
#define OPM_ISTLSOLVER_EBOS_WITH_GPU_HEADER_INCLUDED
#include <opm/simulators/linalg/ISTLSolverEbos.hpp>
#if COMPILE_BDA_BRIDGE
namespace Opm
{
namespace Opm {
template<class Matrix, class Vector, int block_size> class BdaBridge;
class WellContributions;
namespace detail
{
namespace detail {
template<class Matrix, class Vector>
struct BdaSolverInfo
{
@@ -83,179 +84,180 @@ private:
};
}
/// This class solves the fully implicit black-oil system by
/// solving the reduced system (after eliminating well variables)
/// as a block-structured matrix (one block for all cell variables) for a fixed
/// number of cell variables np .
template <class TypeTag>
class ISTLSolverEbosWithGPU : public ISTLSolverEbos<TypeTag>
{
protected:
using ParentType = ISTLSolverEbos<TypeTag>;
using GridView = GetPropType<TypeTag, Properties::GridView>;
using Scalar = GetPropType<TypeTag, Properties::Scalar>;
using SparseMatrixAdapter = GetPropType<TypeTag, Properties::SparseMatrixAdapter>;
using Vector = GetPropType<TypeTag, Properties::GlobalEqVector>;
using Indices = GetPropType<TypeTag, Properties::Indices>;
using WellModel = GetPropType<TypeTag, Properties::EclWellModel>;
using Simulator = GetPropType<TypeTag, Properties::Simulator>;
using Matrix = typename SparseMatrixAdapter::IstlMatrix;
using ThreadManager = GetPropType<TypeTag, Properties::ThreadManager>;
using ElementContext = GetPropType<TypeTag, Properties::ElementContext>;
using AbstractSolverType = Dune::InverseOperator<Vector, Vector>;
using AbstractOperatorType = Dune::AssembledLinearOperator<Matrix, Vector, Vector>;
using AbstractPreconditionerType = Dune::PreconditionerWithUpdate<Vector, Vector>;
using WellModelOperator = WellModelAsLinearOperator<WellModel, Vector, Vector>;
using ElementMapper = GetPropType<TypeTag, Properties::ElementMapper>;
constexpr static std::size_t pressureIndex = GetPropType<TypeTag, Properties::Indices>::pressureSwitchIdx;
/// This class solves the fully implicit black-oil system by
/// solving the reduced system (after eliminating well variables)
/// as a block-structured matrix (one block for all cell variables) for a fixed
/// number of cell variables np .
template <class TypeTag>
class ISTLSolverEbosWithGPU : public ISTLSolverEbos<TypeTag>
{
protected:
using ParentType = ISTLSolverEbos<TypeTag>;
using GridView = GetPropType<TypeTag, Properties::GridView>;
using Scalar = GetPropType<TypeTag, Properties::Scalar>;
using SparseMatrixAdapter = GetPropType<TypeTag, Properties::SparseMatrixAdapter>;
using Vector = GetPropType<TypeTag, Properties::GlobalEqVector>;
using Indices = GetPropType<TypeTag, Properties::Indices>;
using WellModel = GetPropType<TypeTag, Properties::EclWellModel>;
using Simulator = GetPropType<TypeTag, Properties::Simulator>;
using Matrix = typename SparseMatrixAdapter::IstlMatrix;
using ThreadManager = GetPropType<TypeTag, Properties::ThreadManager>;
using ElementContext = GetPropType<TypeTag, Properties::ElementContext>;
using AbstractSolverType = Dune::InverseOperator<Vector, Vector>;
using AbstractOperatorType = Dune::AssembledLinearOperator<Matrix, Vector, Vector>;
using AbstractPreconditionerType = Dune::PreconditionerWithUpdate<Vector, Vector>;
using WellModelOperator = WellModelAsLinearOperator<WellModel, Vector, Vector>;
using ElementMapper = GetPropType<TypeTag, Properties::ElementMapper>;
constexpr static std::size_t pressureIndex = GetPropType<TypeTag, Properties::Indices>::pressureSwitchIdx;
#if HAVE_MPI
using CommunicationType = Dune::OwnerOverlapCopyCommunication<int,int>;
using CommunicationType = Dune::OwnerOverlapCopyCommunication<int,int>;
#else
using CommunicationType = Dune::CollectiveCommunication<int>;
using CommunicationType = Dune::CollectiveCommunication<int>;
#endif
public:
using AssembledLinearOperatorType = Dune::AssembledLinearOperator< Matrix, Vector, Vector >;
public:
using AssembledLinearOperatorType = Dune::AssembledLinearOperator< Matrix, Vector, Vector >;
/// Construct a system solver.
/// \param[in] simulator The opm-models simulator object
/// \param[in] parameters Explicit parameters for solver setup, do not
/// read them from command line parameters.
ISTLSolverEbosWithGPU(const Simulator& simulator, const FlowLinearSolverParameters& parameters)
: ParentType(simulator)
{
bool have_gpu = true;
this->initialize(have_gpu);
}
/// Construct a system solver.
/// \param[in] simulator The opm-models simulator object
explicit ISTLSolverEbosWithGPU(const Simulator& simulator)
/// Construct a system solver.
/// \param[in] simulator The opm-models simulator object
/// \param[in] parameters Explicit parameters for solver setup, do not
/// read them from command line parameters.
ISTLSolverEbosWithGPU(const Simulator& simulator, const FlowLinearSolverParameters& parameters)
: ParentType(simulator)
{
}
{
bool have_gpu = true;
this->initialize(have_gpu);
}
void initialize()
/// Construct a system solver.
/// \param[in] simulator The opm-models simulator object
explicit ISTLSolverEbosWithGPU(const Simulator& simulator)
: ParentType(simulator)
{
}
void initialize()
{
OPM_TIMEBLOCK(initialize);
ParentType::initialize(false);
const bool on_io_rank = (this->simulator_.gridView().comm().rank() == 0);
{
OPM_TIMEBLOCK(initialize);
ParentType::initialize(false);
const bool on_io_rank = (this->simulator_.gridView().comm().rank() == 0);
{
std::string accelerator_mode = EWOMS_GET_PARAM(TypeTag, std::string, AcceleratorMode);
if ((this->simulator_.vanguard().grid().comm().size() > 1) && (accelerator_mode != "none")) {
if (on_io_rank) {
OpmLog::warning("Cannot use GPU with MPI, GPU are disabled");
}
accelerator_mode = "none";
std::string accelerator_mode = EWOMS_GET_PARAM(TypeTag, std::string, AcceleratorMode);
if ((this->simulator_.vanguard().grid().comm().size() > 1) && (accelerator_mode != "none")) {
if (on_io_rank) {
OpmLog::warning("Cannot use GPU with MPI, GPU are disabled");
}
const int platformID = EWOMS_GET_PARAM(TypeTag, int, OpenclPlatformId);
const int deviceID = EWOMS_GET_PARAM(TypeTag, int, BdaDeviceId);
const int maxit = EWOMS_GET_PARAM(TypeTag, int, LinearSolverMaxIter);
const double tolerance = EWOMS_GET_PARAM(TypeTag, double, LinearSolverReduction);
const bool opencl_ilu_parallel = EWOMS_GET_PARAM(TypeTag, bool, OpenclIluParallel);
const int linear_solver_verbosity = this->parameters_.linear_solver_verbosity_;
std::string linsolver = EWOMS_GET_PARAM(TypeTag, std::string, LinearSolver);
bdaBridge_ = std::make_unique<detail::BdaSolverInfo<Matrix,Vector>>(accelerator_mode,
linear_solver_verbosity,
maxit,
tolerance,
platformID,
deviceID,
opencl_ilu_parallel,
linsolver);
accelerator_mode = "none";
}
const int platformID = EWOMS_GET_PARAM(TypeTag, int, OpenclPlatformId);
const int deviceID = EWOMS_GET_PARAM(TypeTag, int, BdaDeviceId);
const int maxit = EWOMS_GET_PARAM(TypeTag, int, LinearSolverMaxIter);
const double tolerance = EWOMS_GET_PARAM(TypeTag, double, LinearSolverReduction);
const bool opencl_ilu_parallel = EWOMS_GET_PARAM(TypeTag, bool, OpenclIluParallel);
const int linear_solver_verbosity = this->parameters_.linear_solver_verbosity_;
std::string linsolver = EWOMS_GET_PARAM(TypeTag, std::string, LinearSolver);
bdaBridge_ = std::make_unique<detail::BdaSolverInfo<Matrix,Vector>>(accelerator_mode,
linear_solver_verbosity,
maxit,
tolerance,
platformID,
deviceID,
opencl_ilu_parallel,
linsolver);
}
}
void prepare(const Matrix& M, Vector& b)
{
OPM_TIMEBLOCK(prepare);
ParentType::prepare(M,b);
const bool firstcall = (this->matrix_ == nullptr);
// update matrix entries for solvers.
if (firstcall) {
// ebos will not change the matrix object. Hence simply store a pointer
// to the original one with a deleter that does nothing.
// Outch! We need to be able to scale the linear system! Hence const_cast
// setup sparsity pattern for jacobi matrix for preconditioner (only used for openclSolver)
void prepare(const Matrix& M, Vector& b)
{
OPM_TIMEBLOCK(prepare);
ParentType::prepare(M,b);
const bool firstcall = (this->matrix_ == nullptr);
// update matrix entries for solvers.
if (firstcall) {
// ebos will not change the matrix object. Hence simply store a pointer
// to the original one with a deleter that does nothing.
// Outch! We need to be able to scale the linear system! Hence const_cast
// setup sparsity pattern for jacobi matrix for preconditioner (only used for openclSolver)
#if HAVE_OPENCL
bdaBridge_->numJacobiBlocks_ = EWOMS_GET_PARAM(TypeTag, int, NumJacobiBlocks);
bdaBridge_->prepare(this->simulator_.vanguard().grid(),
this->simulator_.vanguard().cartesianIndexMapper(),
this->simulator_.vanguard().schedule().getWellsatEnd(),
this->simulator_.vanguard().cellPartition(),
this->getMatrix().nonzeroes(), this->useWellConn_);
bdaBridge_->numJacobiBlocks_ = EWOMS_GET_PARAM(TypeTag, int, NumJacobiBlocks);
bdaBridge_->prepare(this->simulator_.vanguard().grid(),
this->simulator_.vanguard().cartesianIndexMapper(),
this->simulator_.vanguard().schedule().getWellsatEnd(),
this->simulator_.vanguard().cellPartition(),
this->getMatrix().nonzeroes(), this->useWellConn_);
#endif
}
}
}
void setResidual(Vector& /* b */)
{
// rhs_ = &b; // Must be handled in prepare() instead.
}
void getResidual(Vector& b) const
{
b = *(this->rhs_);
}
void setMatrix(const SparseMatrixAdapter& /* M */)
{
// matrix_ = &M.istlMatrix(); // Must be handled in prepare() instead.
}
bool solve(Vector& x)
{
OPM_TIMEBLOCK(solve);
this->calls_ += 1;
// Write linear system if asked for.
const int verbosity = this->prm_.template get<int>("verbosity", 0);
const bool write_matrix = verbosity > 10;
if (write_matrix) {
Helper::writeSystem(this->simulator_, //simulator is only used to get names
this->getMatrix(),
*(this->rhs_),
this->comm_.get());
}
// Solve system.
Dune::InverseOperatorResult result;
void setResidual(Vector& /* b */)
{
// rhs_ = &b; // Must be handled in prepare() instead.
}
void getResidual(Vector& b) const
{
b = *(this->rhs_);
}
void setMatrix(const SparseMatrixAdapter& /* M */)
{
// matrix_ = &M.istlMatrix(); // Must be handled in prepare() instead.
}
bool solve(Vector& x)
{
OPM_TIMEBLOCK(solve);
this->calls_ += 1;
// Write linear system if asked for.
const int verbosity = this->prm_.template get<int>("verbosity", 0);
const bool write_matrix = verbosity > 10;
if (write_matrix) {
Helper::writeSystem(this->simulator_, //simulator is only used to get names
this->getMatrix(),
*(this->rhs_),
this->comm_.get());
}
// Solve system.
Dune::InverseOperatorResult result;
std::function<void(WellContributions&)> getContribs =
[this](WellContributions& w)
{
this->simulator_.problem().wellModel().getWellContributions(w);
};
if (!bdaBridge_->apply(*(this->rhs_), this->useWellConn_, getContribs,
this->simulator_.gridView().comm().rank(),
const_cast<Matrix&>(this->getMatrix()),
x, result))
std::function<void(WellContributions&)> getContribs =
[this](WellContributions& w)
{
if(bdaBridge_->gpuActive()){
// bda solve fails use istl solver setup need to be done since it is not setup in prepeare
ParentType::prepareFlexibleSolver();
}
assert(this->flexibleSolver_.solver_);
this->flexibleSolver_.solver_->apply(x, *(this->rhs_), result);
}
// Check convergence, iterations etc.
this->checkConvergence(result);
return this->converged_;
}
protected:
void prepareFlexibleSolver()
this->simulator_.problem().wellModel().getWellContributions(w);
};
if (!bdaBridge_->apply(*(this->rhs_), this->useWellConn_, getContribs,
this->simulator_.gridView().comm().rank(),
const_cast<Matrix&>(this->getMatrix()),
x, result))
{
if(bdaBridge_->gpuActive()){
// bda solve fails use istl solver setup need to be done since it is not setup in prepare
ParentType::prepareFlexibleSolver();
}
assert(this->flexibleSolver_.solver_);
this->flexibleSolver_.solver_->apply(x, *(this->rhs_), result);
}
std::unique_ptr<detail::BdaSolverInfo<Matrix, Vector>> bdaBridge_;
}; // end ISTLSolver
// Check convergence, iterations etc.
this->checkConvergence(result);
return this->converged_;
}
protected:
void prepareFlexibleSolver()
{
if(bdaBridge_->gpuActive()){
ParentType::prepareFlexibleSolver();
}
}
std::unique_ptr<detail::BdaSolverInfo<Matrix, Vector>> bdaBridge_;
}; // end ISTLSolver
} // namespace Opm
#endif
#endif
#endif // OPM_ISTLSOLVER_EBOS_WITH_GPU_HEADER_INCLUDED

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@@ -28,7 +28,10 @@
#include <opm/input/eclipse/Schedule/MSW/WellSegments.hpp>
#if COMPILE_BDA_BRIDGE
#include <opm/simulators/linalg/bda/WellContributions.hpp>
#endif
#include <opm/simulators/linalg/istlsparsematrixadapter.hh>
#include <opm/simulators/linalg/matrixblock.hh>
#include <opm/simulators/linalg/SmallDenseMatrixUtils.hpp>
@@ -189,6 +192,7 @@ recoverSolutionWell(const BVector& x, BVectorWell& xw) const
xw = mswellhelpers::applyUMFPack(*duneDSolver_, resWell);
}
#if COMPILE_BDA_BRIDGE
template<class Scalar, int numWellEq, int numEq>
void MultisegmentWellEquations<Scalar,numWellEq,numEq>::
extract(WellContributions& wellContribs) const
@@ -255,7 +259,7 @@ extract(WellContributions& wellContribs) const
Drows,
Cvals);
}
#endif
template<class Scalar, int numWellEq, int numEq>
template<class SparseMatrixAdapter>

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@@ -38,7 +38,9 @@ namespace Opm
template<class Scalar, int numWellEq, int numEq> class MultisegmentWellEquationAccess;
template<class Scalar> class MultisegmentWellGeneric;
#if COMPILE_BDA_BRIDGE
class WellContributions;
#endif
class WellInterfaceGeneric;
class WellState;
@@ -98,8 +100,10 @@ public:
//! \details xw = inv(D)*(rw - C*x)
void recoverSolutionWell(const BVector& x, BVectorWell& xw) const;
#if COMPILE_BDA_BRIDGE
//! \brief Add the matrices of this well to the WellContributions object.
void extract(WellContributions& wellContribs) const;
#endif
//! \brief Add the matrices of this well to the sparse matrix adapter.
template<class SparseMatrixAdapter>

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@@ -24,9 +24,10 @@
#include <opm/common/TimingMacros.hpp>
#include <opm/simulators/wells/StandardWellEquations.hpp>
#if COMPILE_BDA_BRIDGE
#include <opm/simulators/linalg/bda/WellContributions.hpp>
#endif
#include <opm/simulators/linalg/istlsparsematrixadapter.hh>
#include <opm/simulators/linalg/matrixblock.hh>
#include <opm/simulators/linalg/SmallDenseMatrixUtils.hpp>
@@ -187,6 +188,7 @@ recoverSolutionWell(const BVector& x, BVectorWell& xw) const
invDuneD_.mv(resWell, xw);
}
#if COMPILE_BDA_BRIDGE
template<class Scalar, int numEq>
void StandardWellEquations<Scalar,numEq>::
extract(const int numStaticWellEq,
@@ -240,6 +242,7 @@ extract(const int numStaticWellEq,
wellContribs.addMatrix(WellContributions::MatrixType::B,
colIndices.data(), nnzValues.data(), duneB_.nonzeroes());
}
#endif
template<class Scalar, int numEq>
template<class SparseMatrixAdapter>

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@@ -36,7 +36,9 @@ namespace Opm
class ParallelWellInfo;
template<class Scalar, int numEq> class StandardWellEquationAccess;
#if COMPILE_BDA_BRIDGE
class WellContributions;
#endif
class WellInterfaceGeneric;
class WellState;
@@ -94,9 +96,11 @@ public:
//! \details xw = inv(D)*(rw - C*x)
void recoverSolutionWell(const BVector& x, BVectorWell& xw) const;
#if COMPILE_BDA_BRIDGE
//! \brief Add the matrices of this well to the WellContributions object.
void extract(const int numStaticWellEq,
WellContributions& wellContribs) const;
#endif
//! \brief Add the matrices of this well to the sparse matrix adapter.
template<class SparseMatrixAdapter>