double precision

Functions
magma_int_t	magma_dcustomicsetup (magma_d_matrix A, magma_d_matrix b, magma_d_preconditioner *precond, magma_queue_t queue)
	Reads in an Incomplete Cholesky preconditioner.
magma_int_t	magma_dcustomilusetup (magma_d_matrix A, magma_d_matrix b, magma_d_preconditioner *precond, magma_queue_t queue)
	Reads in an Incomplete LU preconditioner.
magma_int_t	magma_disai_l (magma_d_matrix b, magma_d_matrix *x, magma_d_preconditioner *precond, magma_queue_t queue)
	Left-hand-side application of ISAI preconditioner.
magma_int_t	magma_disai_r (magma_d_matrix b, magma_d_matrix *x, magma_d_preconditioner *precond, magma_queue_t queue)
	Right-hand-side application of ISAI preconditioner.
magma_int_t	magma_disai_l_t (magma_d_matrix b, magma_d_matrix *x, magma_d_preconditioner *precond, magma_queue_t queue)
	Left-hand-side application of ISAI preconditioner.
magma_int_t	magma_disai_r_t (magma_d_matrix b, magma_d_matrix *x, magma_d_preconditioner *precond, magma_queue_t queue)
	Right-hand-side application of ISAI preconditioner.
magma_int_t	magma_diluisaisetup_lower (magma_d_matrix L, magma_d_matrix S, magma_d_matrix *ISAIL, magma_queue_t queue)
	Prepares Incomplete LU preconditioner using a sparse approximate inverse instead of sparse triangular solves.
magma_int_t	magma_diluisaisetup_upper (magma_d_matrix U, magma_d_matrix S, magma_d_matrix *ISAIU, magma_queue_t queue)
	Prepares Incomplete LU preconditioner using a sparse approximate inverse instead of sparse triangular solves.
magma_int_t	magma_dparic_cpu (magma_d_matrix A, magma_d_matrix b, magma_d_preconditioner *precond, magma_queue_t queue)
	Generates an IC(0) preconditer via fixed-point iterations.
magma_int_t	magma_dparic_gpu (magma_d_matrix A, magma_d_matrix b, magma_d_preconditioner *precond, magma_queue_t queue)
	Generates an IC(0) preconditer via fixed-point iterations.
magma_int_t	magma_dparict (magma_d_matrix A, magma_d_matrix b, magma_d_preconditioner *precond, magma_queue_t queue)
	Prepares the iterative threshold Incomplete Cholesky preconditioner.
magma_int_t	magma_dparict_cpu (magma_d_matrix A, magma_d_matrix b, magma_d_preconditioner *precond, magma_queue_t queue)
	Generates an incomplete threshold Cholesky preconditioner via the ParILUT algorithm.
magma_int_t	magma_dparilu_cpu (magma_d_matrix A, magma_d_matrix b, magma_d_preconditioner *precond, magma_queue_t queue)
	Generates an ILU(0) preconditer via fixed-point iterations.
magma_int_t	magma_dparilu_gpu (magma_d_matrix A, magma_d_matrix b, magma_d_preconditioner *precond, magma_queue_t queue)
	Generates an ILU(0) preconditer via fixed-point iterations.
magma_int_t	magma_dparilut (magma_d_matrix A, magma_d_matrix b, magma_d_preconditioner *precond, magma_queue_t queue)
	Prepares the iterative threshold Incomplete LU preconditioner.
magma_int_t	magma_dparilut_cpu (magma_d_matrix A, magma_d_matrix b, magma_d_preconditioner *precond, magma_queue_t queue)
	Generates an incomplete threshold LU preconditioner via the ParILUT algorithm.
magma_int_t	magma_dparilut_gpu (magma_d_matrix A, magma_d_matrix b, magma_d_preconditioner *precond, magma_queue_t queue)
	Generates an incomplete threshold LU preconditioner via the ParILUT algorithm.
magma_int_t	magma_dparilut_gpu_nodp (magma_d_matrix A, magma_d_matrix b, magma_d_preconditioner *precond, magma_queue_t queue)
	Generates an incomplete threshold LU preconditioner via the ParILUT algorithm.
magma_int_t	magma_dcumilusetup (magma_d_matrix A, magma_d_preconditioner *precond, magma_queue_t queue)
	Prepares the ILU preconditioner via the cuSPARSE.
magma_int_t	magma_dcumilusetup_transpose (magma_d_matrix A, magma_d_preconditioner *precond, magma_queue_t queue)
	Prepares the ILU transpose preconditioner via the cuSPARSE.
magma_int_t	magma_dcumilugeneratesolverinfo (magma_d_preconditioner *precond, magma_queue_t queue)
	Prepares the ILU triangular solves via cuSPARSE using an ILU factorization matrix stored either in precond->M or on the device as precond->L and precond->U.
magma_int_t	magma_dapplycumilu_l (magma_d_matrix b, magma_d_matrix *x, magma_d_preconditioner *precond, magma_queue_t queue)
	Performs the left triangular solves using the ILU preconditioner.
magma_int_t	magma_dapplycumilu_l_transpose (magma_d_matrix b, magma_d_matrix *x, magma_d_preconditioner *precond, magma_queue_t queue)
	Performs the left triangular solves using the transpose ILU preconditioner.
magma_int_t	magma_dapplycumilu_r (magma_d_matrix b, magma_d_matrix *x, magma_d_preconditioner *precond, magma_queue_t queue)
	Performs the right triangular solves using the ILU preconditioner.
magma_int_t	magma_dapplycumilu_r_transpose (magma_d_matrix b, magma_d_matrix *x, magma_d_preconditioner *precond, magma_queue_t queue)
	Performs the right triangular solves using the transpose ILU preconditioner.
magma_int_t	magma_dapplyiteric_l (magma_d_matrix b, magma_d_matrix *x, magma_d_preconditioner *precond, magma_queue_t queue)
	Performs the left triangular solves using the IC preconditioner via Jacobi.
magma_int_t	magma_dapplyiteric_r (magma_d_matrix b, magma_d_matrix *x, magma_d_preconditioner *precond, magma_queue_t queue)
	Performs the right triangular solves using the IC preconditioner via Jacobi.
magma_int_t	magma_djaccard_weights (magma_d_matrix A, magma_d_matrix *J, magma_queue_t queue)
	Computes Jaccard weights for a matrix.
magma_int_t	magma_dparilusetup (magma_d_matrix A, magma_d_matrix b, magma_d_preconditioner *precond, magma_queue_t queue)
	Prepares the ILU preconditioner via the iterative ILU iteration.

Detailed Description

Function Documentation

magma_dcustomicsetup()

magma_int_t magma_dcustomicsetup	(	magma_d_matrix	A,
		magma_d_matrix	b,
		magma_d_preconditioner *	precond,
		magma_queue_t	queue )

Reads in an Incomplete Cholesky preconditioner.

Parameters

[in]	A	magma_d_matrix input matrix A
[in]	b	magma_d_matrix input RHS b
[in,out]	precond	magma_d_preconditioner* preconditioner parameters
[in]	queue	magma_queue_t Queue to execute in.

magma_dcustomilusetup()

magma_int_t magma_dcustomilusetup	(	magma_d_matrix	A,
		magma_d_matrix	b,
		magma_d_preconditioner *	precond,
		magma_queue_t	queue )

Reads in an Incomplete LU preconditioner.

Parameters

[in]	A	magma_d_matrix input matrix A
[in]	b	magma_d_matrix input RHS b
[in,out]	precond	magma_d_preconditioner* preconditioner parameters
[in]	queue	magma_queue_t Queue to execute in.

magma_disai_l()

magma_int_t magma_disai_l	(	magma_d_matrix	b,
		magma_d_matrix *	x,
		magma_d_preconditioner *	precond,
		magma_queue_t	queue )

Left-hand-side application of ISAI preconditioner.

Parameters

[in]	b	magma_d_matrix input RHS b
[in,out]	x	magma_d_matrix solution x
[in,out]	precond	magma_d_preconditioner* preconditioner parameters
[in]	queue	magma_queue_t Queue to execute in.

magma_disai_r()

magma_int_t magma_disai_r	(	magma_d_matrix	b,
		magma_d_matrix *	x,
		magma_d_preconditioner *	precond,
		magma_queue_t	queue )

Right-hand-side application of ISAI preconditioner.

Parameters

[in]	b	magma_d_matrix input RHS b
[in,out]	x	magma_d_matrix solution x
[in,out]	precond	magma_d_preconditioner* preconditioner parameters
[in]	queue	magma_queue_t Queue to execute in.

magma_disai_l_t()

magma_int_t magma_disai_l_t	(	magma_d_matrix	b,
		magma_d_matrix *	x,
		magma_d_preconditioner *	precond,
		magma_queue_t	queue )

Left-hand-side application of ISAI preconditioner.

Transpose.

Parameters

[in]	b	magma_d_matrix input RHS b
[in,out]	x	magma_d_matrix solution x
[in,out]	precond	magma_d_preconditioner* preconditioner parameters
[in]	queue	magma_queue_t Queue to execute in.

magma_disai_r_t()

magma_int_t magma_disai_r_t	(	magma_d_matrix	b,
		magma_d_matrix *	x,
		magma_d_preconditioner *	precond,
		magma_queue_t	queue )

Right-hand-side application of ISAI preconditioner.

Transpose.

Parameters

[in]	b	magma_d_matrix input RHS b
[in,out]	x	magma_d_matrix solution x
[in,out]	precond	magma_d_preconditioner* preconditioner parameters
[in]	queue	magma_queue_t Queue to execute in.

magma_diluisaisetup_lower()

magma_int_t magma_diluisaisetup_lower	(	magma_d_matrix	L,
		magma_d_matrix	S,
		magma_d_matrix *	ISAIL,
		magma_queue_t	queue )

Prepares Incomplete LU preconditioner using a sparse approximate inverse instead of sparse triangular solves.

This routine only handles the lower triangular part. The return value is 0 in case of success, and Magma_CUSOLVE if the pattern is too large to be handled.

Parameters

[in]	L	magma_d_matrix lower triangular factor
[in]	S	magma_d_matrix pattern for the ISAI preconditioner for L
[out]	ISAIL	magma_d_matrix* ISAI preconditioner for L
[in]	queue	magma_queue_t Queue to execute in.

magma_diluisaisetup_upper()

magma_int_t magma_diluisaisetup_upper	(	magma_d_matrix	U,
		magma_d_matrix	S,
		magma_d_matrix *	ISAIU,
		magma_queue_t	queue )

Prepares Incomplete LU preconditioner using a sparse approximate inverse instead of sparse triangular solves.

This routine only handles the upper triangular part. The return value is 0 in case of success, and Magma_CUSOLVE if the pattern is too large to be handled.

Parameters

[in]	U	magma_d_matrix lower triangular factor
[in]	S	magma_d_matrix pattern for the ISAI preconditioner for U
[out]	ISAIU	magma_d_matrix* ISAI preconditioner for U
[in]	queue	magma_queue_t Queue to execute in.

magma_dparic_cpu()

magma_int_t magma_dparic_cpu	(	magma_d_matrix	A,
		magma_d_matrix	b,
		magma_d_preconditioner *	precond,
		magma_queue_t	queue )

Generates an IC(0) preconditer via fixed-point iterations.

For reference, see: E. Chow and A. Patel: "Fine-grained Parallel Incomplete LU Factorization", SIAM Journal on Scientific Computing, 37, C169-C193 (2015).

This is the CPU implementation of the ParIC

Parameters

[in]	A	magma_d_matrix input matrix A
[in]	b	magma_d_matrix input RHS b
[in,out]	precond	magma_d_preconditioner* preconditioner parameters
[in]	queue	magma_queue_t Queue to execute in.

magma_dparic_gpu()

magma_int_t magma_dparic_gpu	(	magma_d_matrix	A,
		magma_d_matrix	b,
		magma_d_preconditioner *	precond,
		magma_queue_t	queue )

Generates an IC(0) preconditer via fixed-point iterations.

For reference, see: E. Chow and A. Patel: "Fine-grained Parallel Incomplete LU Factorization", SIAM Journal on Scientific Computing, 37, C169-C193 (2015).

This is the GPU implementation of the ParIC

Parameters

[in]	A	magma_d_matrix input matrix A
[in]	b	magma_d_matrix input RHS b
[in,out]	precond	magma_d_preconditioner* preconditioner parameters
[in]	queue	magma_queue_t Queue to execute in.

magma_dparict()

magma_int_t magma_dparict	(	magma_d_matrix	A,
		magma_d_matrix	b,
		magma_d_preconditioner *	precond,
		magma_queue_t	queue )

Prepares the iterative threshold Incomplete Cholesky preconditioner.

The strategy is interleaving a parallel fixed-point iteration that approximates an incomplete factorization for a given nonzero pattern with a procedure that adaptively changes the pattern. Much of this new algorithm has fine-grained parallelism, and we show that it can efficiently exploit the compute power of shared memory architectures.

This is the routine used in the publication by Anzt, Chow, Dongarra: ''ParILUT - A new parallel threshold ILU factorization'' submitted to SIAM SISC in 2016.

This function requires OpenMP, and is only available if OpenMP is activated.

Parameters

[in]	A	magma_d_matrix input matrix A
[in]	b	magma_d_matrix input RHS b
[in,out]	precond	magma_d_preconditioner* preconditioner parameters
[in]	queue	magma_queue_t Queue to execute in.

magma_dparict_cpu()

magma_int_t magma_dparict_cpu	(	magma_d_matrix	A,
		magma_d_matrix	b,
		magma_d_preconditioner *	precond,
		magma_queue_t	queue )

Generates an incomplete threshold Cholesky preconditioner via the ParILUT algorithm.

The strategy is to interleave a parallel fixed-point iteration that approximates an incomplete factorization for a given nonzero pattern with a procedure that adaptively changes the pattern. Much of this algorithm has fine-grained parallelism, and can efficiently exploit the compute power of shared memory architectures.

This is the routine used in the publication by Anzt, Chow, Dongarra: ''ParILUT - A new parallel threshold ILU factorization'' submitted to SIAM SISC in 2017.

This version uses the default setting which adds all candidates to the sparsity pattern. It is the variant for SPD systems.

This function requires OpenMP, and is only available if OpenMP is activated.

The parameter list is:

precond.sweeps : number of ParILUT steps precond.atol : absolute fill ratio (1.0 keeps nnz count constant)

Parameters

[in]	A	magma_d_matrix input matrix A
[in]	b	magma_d_matrix input RHS b
[in,out]	precond	magma_d_preconditioner* preconditioner parameters
[in]	queue	magma_queue_t Queue to execute in.

magma_dparilu_cpu()

magma_int_t magma_dparilu_cpu	(	magma_d_matrix	A,
		magma_d_matrix	b,
		magma_d_preconditioner *	precond,
		magma_queue_t	queue )

Generates an ILU(0) preconditer via fixed-point iterations.

For reference, see: E. Chow and A. Patel: "Fine-grained Parallel Incomplete LU Factorization", SIAM Journal on Scientific Computing, 37, C169-C193 (2015).

This is the CPU implementation of the ParILU

Parameters

[in]	A	magma_d_matrix input matrix A
[in]	b	magma_d_matrix input RHS b
[in,out]	precond	magma_d_preconditioner* preconditioner parameters
[in]	queue	magma_queue_t Queue to execute in.

magma_dparilu_gpu()

magma_int_t magma_dparilu_gpu	(	magma_d_matrix	A,
		magma_d_matrix	b,
		magma_d_preconditioner *	precond,
		magma_queue_t	queue )

Generates an ILU(0) preconditer via fixed-point iterations.

For reference, see: E. Chow and A. Patel: "Fine-grained Parallel Incomplete LU Factorization", SIAM Journal on Scientific Computing, 37, C169-C193 (2015).

This is the GPU implementation of the ParILU

Parameters

[in]	A	magma_d_matrix input matrix A
[in]	b	magma_d_matrix input RHS b
[in,out]	precond	magma_d_preconditioner* preconditioner parameters
[in]	queue	magma_queue_t Queue to execute in.

magma_dparilut()

magma_int_t magma_dparilut	(	magma_d_matrix	A,
		magma_d_matrix	b,
		magma_d_preconditioner *	precond,
		magma_queue_t	queue )

Prepares the iterative threshold Incomplete LU preconditioner.

The strategy is interleaving a parallel fixed-point iteration that approximates an incomplete factorization for a given nonzero pattern with a procedure that adaptively changes the pattern. Much of this new algorithm has fine-grained parallelism, and we show that it can efficiently exploit the compute power of shared memory architectures.

This is the routine used in the publication by Anzt, Chow, Dongarra: ''ParILUT - A new parallel threshold ILU factorization'' submitted to SIAM SISC in 2017.

This function requires OpenMP, and is only available if OpenMP is activated.

The parameter list is:

precond.sweeps : number of ParILUT steps precond.atol : absolute fill ratio (1.0 keeps nnz constant) precond.rtol : how many candidates are added to the sparsity pattern 1.0 one per row < 1.0 a fraction of those > 1.0 all candidates

Parameters

[in]	A	magma_d_matrix input matrix A
[in]	b	magma_d_matrix input RHS b
[in,out]	precond	magma_d_preconditioner* preconditioner parameters
[in]	queue	magma_queue_t Queue to execute in.

magma_dparilut_cpu()

magma_int_t magma_dparilut_cpu	(	magma_d_matrix	A,
		magma_d_matrix	b,
		magma_d_preconditioner *	precond,
		magma_queue_t	queue )

Generates an incomplete threshold LU preconditioner via the ParILUT algorithm.

The strategy is to interleave a parallel fixed-point iteration that approximates an incomplete factorization for a given nonzero pattern with a procedure that adaptively changes the pattern. Much of this algorithm has fine-grained parallelism, and can efficiently exploit the compute power of shared memory architectures.

This is the routine used in the publication by Anzt, Chow, Dongarra: ''ParILUT - A new parallel threshold ILU factorization'' submitted to SIAM SISC in 2017.

This version uses the default setting which adds all candidates to the sparsity pattern.

This function requires OpenMP, and is only available if OpenMP is activated.

The parameter list is:

precond.sweeps : number of ParILUT steps precond.atol : absolute fill ratio (1.0 keeps nnz count constant)

Parameters

[in]	A	magma_d_matrix input matrix A
[in]	b	magma_d_matrix input RHS b
[in,out]	precond	magma_d_preconditioner* preconditioner parameters
[in]	queue	magma_queue_t Queue to execute in.

magma_dparilut_gpu()

magma_int_t magma_dparilut_gpu	(	magma_d_matrix	A,
		magma_d_matrix	b,
		magma_d_preconditioner *	precond,
		magma_queue_t	queue )

Generates an incomplete threshold LU preconditioner via the ParILUT algorithm.

The strategy is to interleave a parallel fixed-point iteration that approximates an incomplete factorization for a given nonzero pattern with a procedure that adaptively changes the pattern. Much of this algorithm has fine-grained parallelism, and can efficiently exploit the compute power of shared memory architectures.

This is the routine used in the publication by Anzt, Chow, Dongarra: ''ParILUT - A new parallel threshold ILU factorization'' submitted to SIAM SISC in 2017.

This version uses the default setting which adds all candidates to the sparsity pattern.

This function requires OpenMP, and is only available if OpenMP is activated.

The parameter list is:

precond.sweeps : number of ParILUT steps precond.atol : absolute fill ratio (1.0 keeps nnz count constant)

Parameters

[in]	A	magma_d_matrix input matrix A
[in]	b	magma_d_matrix input RHS b
[in,out]	precond	magma_d_preconditioner* preconditioner parameters
[in]	queue	magma_queue_t Queue to execute in.

magma_dparilut_gpu_nodp()

magma_int_t magma_dparilut_gpu_nodp	(	magma_d_matrix	A,
		magma_d_matrix	b,
		magma_d_preconditioner *	precond,
		magma_queue_t	queue )

Generates an incomplete threshold LU preconditioner via the ParILUT algorithm.

The strategy is to interleave a parallel fixed-point iteration that approximates an incomplete factorization for a given nonzero pattern with a procedure that adaptively changes the pattern. Much of this algorithm has fine-grained parallelism, and can efficiently exploit the compute power of shared memory architectures.

This is the routine used in the publication by Anzt, Chow, Dongarra: ''ParILUT - A new parallel threshold ILU factorization'' submitted to SIAM SISC in 2017.

This version uses the default setting which adds all candidates to the sparsity pattern.

This function requires OpenMP, and is only available if OpenMP is activated.

The parameter list is:

precond.sweeps : number of ParILUT steps precond.atol : absolute fill ratio (1.0 keeps nnz count constant)

This routine is the same as magma_dparilut_gpu(), except that it uses no dynamic paralellism

Parameters

[in]	A	magma_d_matrix input matrix A
[in]	b	magma_d_matrix input RHS b
[in,out]	precond	magma_d_preconditioner* preconditioner parameters
[in]	queue	magma_queue_t Queue to execute in.

magma_dcumilusetup()

magma_int_t magma_dcumilusetup	(	magma_d_matrix	A,
		magma_d_preconditioner *	precond,
		magma_queue_t	queue )

Prepares the ILU preconditioner via the cuSPARSE.

Parameters

[in]	A	magma_d_matrix input matrix A
[in,out]	precond	magma_d_preconditioner* preconditioner parameters
[in]	queue	magma_queue_t Queue to execute in.

magma_dcumilusetup_transpose()

magma_int_t magma_dcumilusetup_transpose	(	magma_d_matrix	A,
		magma_d_preconditioner *	precond,
		magma_queue_t	queue )

Prepares the ILU transpose preconditioner via the cuSPARSE.

Parameters

[in]	A	magma_d_matrix input matrix A
[in,out]	precond	magma_d_preconditioner* preconditioner parameters
[in]	queue	magma_queue_t Queue to execute in.

magma_dcumilugeneratesolverinfo()

magma_int_t magma_dcumilugeneratesolverinfo	(	magma_d_preconditioner *	precond,
		magma_queue_t	queue )

Prepares the ILU triangular solves via cuSPARSE using an ILU factorization matrix stored either in precond->M or on the device as precond->L and precond->U.

Parameters

[in,out]	precond	magma_d_preconditioner* preconditioner parameters
[in]	queue	magma_queue_t Queue to execute in.

magma_dapplycumilu_l()

magma_int_t magma_dapplycumilu_l	(	magma_d_matrix	b,
		magma_d_matrix *	x,
		magma_d_preconditioner *	precond,
		magma_queue_t	queue )

Performs the left triangular solves using the ILU preconditioner.

Parameters

[in]	b	magma_d_matrix RHS
[in,out]	x	magma_d_matrix* vector to precondition
[in,out]	precond	magma_d_preconditioner* preconditioner parameters
[in]	queue	magma_queue_t Queue to execute in.

magma_dapplycumilu_l_transpose()

magma_int_t magma_dapplycumilu_l_transpose	(	magma_d_matrix	b,
		magma_d_matrix *	x,
		magma_d_preconditioner *	precond,
		magma_queue_t	queue )

Performs the left triangular solves using the transpose ILU preconditioner.

Parameters

[in]	b	magma_d_matrix RHS
[in,out]	x	magma_d_matrix* vector to precondition
[in,out]	precond	magma_d_preconditioner* preconditioner parameters
[in]	queue	magma_queue_t Queue to execute in.

magma_dapplycumilu_r()

magma_int_t magma_dapplycumilu_r	(	magma_d_matrix	b,
		magma_d_matrix *	x,
		magma_d_preconditioner *	precond,
		magma_queue_t	queue )

Performs the right triangular solves using the ILU preconditioner.

Parameters

[in]	b	magma_d_matrix RHS
[in,out]	x	magma_d_matrix* vector to precondition
[in,out]	precond	magma_d_preconditioner* preconditioner parameters
[in]	queue	magma_queue_t Queue to execute in.

magma_dapplycumilu_r_transpose()

magma_int_t magma_dapplycumilu_r_transpose	(	magma_d_matrix	b,
		magma_d_matrix *	x,
		magma_d_preconditioner *	precond,
		magma_queue_t	queue )

Performs the right triangular solves using the transpose ILU preconditioner.

Parameters

[in]	b	magma_d_matrix RHS
[in,out]	x	magma_d_matrix* vector to precondition
[in,out]	precond	magma_d_preconditioner* preconditioner parameters
[in]	queue	magma_queue_t Queue to execute in.

magma_dapplyiteric_l()

magma_int_t magma_dapplyiteric_l	(	magma_d_matrix	b,
		magma_d_matrix *	x,
		magma_d_preconditioner *	precond,
		magma_queue_t	queue )

Performs the left triangular solves using the IC preconditioner via Jacobi.

Parameters

[in]	b	magma_d_matrix RHS
[out]	x	magma_d_matrix* vector to precondition
[in]	precond	magma_d_preconditioner* preconditioner parameters
[in]	queue	magma_queue_t Queue to execute in.

magma_dapplyiteric_r()

magma_int_t magma_dapplyiteric_r	(	magma_d_matrix	b,
		magma_d_matrix *	x,
		magma_d_preconditioner *	precond,
		magma_queue_t	queue )

Performs the right triangular solves using the IC preconditioner via Jacobi.

Parameters

[in]	b	magma_d_matrix RHS
[out]	x	magma_d_matrix* vector to precondition
[in]	precond	magma_d_preconditioner* preconditioner parameters
[in]	queue	magma_queue_t Queue to execute in.

magma_djaccard_weights()

magma_int_t magma_djaccard_weights	(	magma_d_matrix	A,
		magma_d_matrix *	J,
		magma_queue_t	queue )

Computes Jaccard weights for a matrix.

Parameters

[in]	A	magma_d_matrix input matrix
[out]	J	magma_d_matrix* Jaccard weights
[in]	queue	magma_queue_t Queue to execute in.

magma_dparilusetup()

magma_int_t magma_dparilusetup	(	magma_d_matrix	A,
		magma_d_matrix	b,
		magma_d_preconditioner *	precond,
		magma_queue_t	queue )

Prepares the ILU preconditioner via the iterative ILU iteration.

Parameters

[in]	A	magma_d_matrix input matrix A
[in]	b	magma_d_matrix input RHS b
[in,out]	precond	magma_d_preconditioner* preconditioner parameters
[in]	queue	magma_queue_t Queue to execute in.