Eigen::gpu::SparseLU< Scalar_ > Class Template Reference

#include <contrib/Eigen/src/GPU/GpuSparseLU.h>

Detailed Description

template<typename Scalar_>
class Eigen::gpu::SparseLU< Scalar_ >

GPU sparse LU factorization (general matrices).

Wraps cuDSS with CUDSS_MTYPE_GENERAL and CUDSS_MVIEW_FULL. Accepts ColMajor SparseMatrix (CSC); internally converts to RowMajor CSR since cuDSS requires CSR input.

Template Parameters

Scalar_

float, double, complex<float>, or complex<double>

Inheritance diagram for Eigen::gpu::SparseLU< Scalar_ >:

Public Member Functions
	SparseLU (Context &ctx)
template<typename InputType>
	SparseLU (Context &ctx, const SparseMatrixBase< InputType > &A)
Public Member Functions inherited from Eigen::gpu::internal::SparseSolverBase< Scalar_, SparseLU< Scalar_ > >
SparseLU< Scalar_ > &	analyzePattern (const SparseMatrixBase< InputType > &A)
SparseLU< Scalar_ > &	compute (const SparseMatrixBase< InputType > &A)
const SparseSolverConfig &	config () const
SparseLU< Scalar_ > &	factorize (const SparseMatrixBase< InputType > &A)
SparseLU< Scalar_ > &	setConfig (const SparseSolverConfig &cfg)
DeviceMatrix< Scalar >	solve (const DeviceMatrix< Scalar > &d_B) const
DenseMatrix	solve (const MatrixBase< Rhs > &B) const
	SparseSolverBase (Context &ctx)

Constructor & Destructor Documentation

SparseLU() [1/2]

template<typename Scalar_>

Eigen::gpu::SparseLU< Scalar_ >::SparseLU ( Context & ctx )

inlineexplicit

Borrow ctx's stream so solves chain with other work on the same Context. ctx must outlive this object.

SparseLU() [2/2]

template<typename Scalar_>

template<typename InputType>

Eigen::gpu::SparseLU< Scalar_ >::SparseLU ( Context & ctx, const SparseMatrixBase< InputType > & A )

inline

Borrow ctx's stream and factor A immediately.

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The documentation for this class was generated from the following file:

• /builds/libeigen/eigen/contrib/Eigen/src/GPU/GpuSparseLU.h