HypreCpuTransfers.hpp File Reference

#include <opm/simulators/linalg/gpuistl/hypreinterface/HypreDataStructures.hpp>
#include <opm/simulators/linalg/gpuistl/hypreinterface/HypreErrorHandling.hpp>
#include <HYPRE.h>
#include <_hypre_utilities.h>

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Namespaces
namespace	Opm
namespace	Opm::gpuistl
namespace	Opm::gpuistl::HypreInterface
	Unified interface for Hypre operations with both CPU and GPU data structures.

Functions
template<typename VectorType >
void	Opm::gpuistl::HypreInterface::setContinuousVectorForHypre (const VectorType &v, std::vector< HYPRE_Real > &continuous_vector_values, const std::vector< int > &local_hypre_to_local_dune)
	Extract owned vector values in the order expected by HYPRE. More...
template<typename VectorType >
void	Opm::gpuistl::HypreInterface::setDuneVectorFromContinuousVector (VectorType &v, const std::vector< HYPRE_Real > &continuous_vector_values, const std::vector< int > &local_hypre_to_local_dune)
	Distribute HYPRE vector values back to original vector positions. More...
template<typename VectorType >
void	Opm::gpuistl::HypreInterface::transferCpuVectorToHypre (const VectorType &cpu_vec, HYPRE_IJVector hypre_vec, HypreHostDataArrays &host_arrays, const HypreDeviceDataArrays &device_arrays, const ParallelInfo &par_info, bool use_gpu_backend)
	Transfer CPU vector to Hypre vector. More...
template<typename VectorType >
void	Opm::gpuistl::HypreInterface::transferHypreToCpuVector (HYPRE_IJVector hypre_vec, VectorType &cpu_vec, HypreHostDataArrays &host_arrays, const HypreDeviceDataArrays &device_arrays, const ParallelInfo &par_info, bool use_gpu_backend)
	Transfer Hypre vector to CPU vector. More...
template<typename MatrixType >
void	Opm::gpuistl::HypreInterface::updateMatrixFromCpuMatrix (const MatrixType &cpu_matrix, HYPRE_IJMatrix hypre_matrix, const SparsityPattern &sparsity_pattern, const HypreHostDataArrays &host_arrays, const HypreDeviceDataArrays &device_arrays, bool use_gpu_backend)
	Update Hypre matrix from CPU matrix Uses HYPRE_IJMatrixSetValues2 with pre-computed row_indexes, which allows us to use the original CPU matrix data (with potential ghost values) directly. More...