single precision

Functions
magma_int_t	magma_scustomicsetup (magma_s_matrix A, magma_s_matrix b, magma_s_preconditioner *precond, magma_queue_t queue)
	Reads in an Incomplete Cholesky preconditioner.
magma_int_t	magma_scustomilusetup (magma_s_matrix A, magma_s_matrix b, magma_s_preconditioner *precond, magma_queue_t queue)
	Reads in an Incomplete LU preconditioner.
magma_int_t	magma_sisai_l (magma_s_matrix b, magma_s_matrix *x, magma_s_preconditioner *precond, magma_queue_t queue)
	Left-hand-side application of ISAI preconditioner.
magma_int_t	magma_sisai_r (magma_s_matrix b, magma_s_matrix *x, magma_s_preconditioner *precond, magma_queue_t queue)
	Right-hand-side application of ISAI preconditioner.
magma_int_t	magma_sisai_l_t (magma_s_matrix b, magma_s_matrix *x, magma_s_preconditioner *precond, magma_queue_t queue)
	Left-hand-side application of ISAI preconditioner.
magma_int_t	magma_sisai_r_t (magma_s_matrix b, magma_s_matrix *x, magma_s_preconditioner *precond, magma_queue_t queue)
	Right-hand-side application of ISAI preconditioner.
magma_int_t	magma_siluisaisetup_lower (magma_s_matrix L, magma_s_matrix S, magma_s_matrix *ISAIL, magma_queue_t queue)
	Prepares Incomplete LU preconditioner using a sparse approximate inverse instead of sparse triangular solves.
magma_int_t	magma_siluisaisetup_upper (magma_s_matrix U, magma_s_matrix S, magma_s_matrix *ISAIU, magma_queue_t queue)
	Prepares Incomplete LU preconditioner using a sparse approximate inverse instead of sparse triangular solves.
magma_int_t	magma_sparic_cpu (magma_s_matrix A, magma_s_matrix b, magma_s_preconditioner *precond, magma_queue_t queue)
	Generates an IC(0) preconditer via fixed-point iterations.
magma_int_t	magma_sparic_gpu (magma_s_matrix A, magma_s_matrix b, magma_s_preconditioner *precond, magma_queue_t queue)
	Generates an IC(0) preconditer via fixed-point iterations.
magma_int_t	magma_sparict (magma_s_matrix A, magma_s_matrix b, magma_s_preconditioner *precond, magma_queue_t queue)
	Prepares the iterative threshold Incomplete Cholesky preconditioner.
magma_int_t	magma_sparict_cpu (magma_s_matrix A, magma_s_matrix b, magma_s_preconditioner *precond, magma_queue_t queue)
	Generates an incomplete threshold Cholesky preconditioner via the ParILUT algorithm.
magma_int_t	magma_sparilu_cpu (magma_s_matrix A, magma_s_matrix b, magma_s_preconditioner *precond, magma_queue_t queue)
	Generates an ILU(0) preconditer via fixed-point iterations.
magma_int_t	magma_sparilu_gpu (magma_s_matrix A, magma_s_matrix b, magma_s_preconditioner *precond, magma_queue_t queue)
	Generates an ILU(0) preconditer via fixed-point iterations.
magma_int_t	magma_sparilut (magma_s_matrix A, magma_s_matrix b, magma_s_preconditioner *precond, magma_queue_t queue)
	Prepares the iterative threshold Incomplete LU preconditioner.
magma_int_t	magma_sparilut_cpu (magma_s_matrix A, magma_s_matrix b, magma_s_preconditioner *precond, magma_queue_t queue)
	Generates an incomplete threshold LU preconditioner via the ParILUT algorithm.
magma_int_t	magma_sparilut_gpu (magma_s_matrix A, magma_s_matrix b, magma_s_preconditioner *precond, magma_queue_t queue)
	Generates an incomplete threshold LU preconditioner via the ParILUT algorithm.
magma_int_t	magma_sparilut_gpu_nodp (magma_s_matrix A, magma_s_matrix b, magma_s_preconditioner *precond, magma_queue_t queue)
	Generates an incomplete threshold LU preconditioner via the ParILUT algorithm.
magma_int_t	magma_scumilusetup (magma_s_matrix A, magma_s_preconditioner *precond, magma_queue_t queue)
	Prepares the ILU preconditioner via the cuSPARSE.
magma_int_t	magma_scumilusetup_transpose (magma_s_matrix A, magma_s_preconditioner *precond, magma_queue_t queue)
	Prepares the ILU transpose preconditioner via the cuSPARSE.
magma_int_t	magma_scumilugeneratesolverinfo (magma_s_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_sapplycumilu_l (magma_s_matrix b, magma_s_matrix *x, magma_s_preconditioner *precond, magma_queue_t queue)
	Performs the left triangular solves using the ILU preconditioner.
magma_int_t	magma_sapplycumilu_l_transpose (magma_s_matrix b, magma_s_matrix *x, magma_s_preconditioner *precond, magma_queue_t queue)
	Performs the left triangular solves using the transpose ILU preconditioner.
magma_int_t	magma_sapplycumilu_r (magma_s_matrix b, magma_s_matrix *x, magma_s_preconditioner *precond, magma_queue_t queue)
	Performs the right triangular solves using the ILU preconditioner.
magma_int_t	magma_sapplycumilu_r_transpose (magma_s_matrix b, magma_s_matrix *x, magma_s_preconditioner *precond, magma_queue_t queue)
	Performs the right triangular solves using the transpose ILU preconditioner.
magma_int_t	magma_sapplyiteric_l (magma_s_matrix b, magma_s_matrix *x, magma_s_preconditioner *precond, magma_queue_t queue)
	Performs the left triangular solves using the IC preconditioner via Jacobi.
magma_int_t	magma_sapplyiteric_r (magma_s_matrix b, magma_s_matrix *x, magma_s_preconditioner *precond, magma_queue_t queue)
	Performs the right triangular solves using the IC preconditioner via Jacobi.
magma_int_t	magma_sjaccard_weights (magma_s_matrix A, magma_s_matrix *J, magma_queue_t queue)
	Computes Jaccard weights for a matrix.
magma_int_t	magma_sparilusetup (magma_s_matrix A, magma_s_matrix b, magma_s_preconditioner *precond, magma_queue_t queue)
	Prepares the ILU preconditioner via the iterative ILU iteration.

Detailed Description

Function Documentation

magma_scustomicsetup()

magma_int_t magma_scustomicsetup	(	magma_s_matrix	A,
		magma_s_matrix	b,
		magma_s_preconditioner *	precond,
		magma_queue_t	queue )

Reads in an Incomplete Cholesky preconditioner.

Parameters

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

magma_scustomilusetup()

magma_int_t magma_scustomilusetup	(	magma_s_matrix	A,
		magma_s_matrix	b,
		magma_s_preconditioner *	precond,
		magma_queue_t	queue )

Reads in an Incomplete LU preconditioner.

Parameters

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

magma_sisai_l()

magma_int_t magma_sisai_l	(	magma_s_matrix	b,
		magma_s_matrix *	x,
		magma_s_preconditioner *	precond,
		magma_queue_t	queue )

Left-hand-side application of ISAI preconditioner.

Parameters

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

magma_sisai_r()

magma_int_t magma_sisai_r	(	magma_s_matrix	b,
		magma_s_matrix *	x,
		magma_s_preconditioner *	precond,
		magma_queue_t	queue )

Right-hand-side application of ISAI preconditioner.

Parameters

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

magma_sisai_l_t()

magma_int_t magma_sisai_l_t	(	magma_s_matrix	b,
		magma_s_matrix *	x,
		magma_s_preconditioner *	precond,
		magma_queue_t	queue )

Left-hand-side application of ISAI preconditioner.

Transpose.

Parameters

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

magma_sisai_r_t()

magma_int_t magma_sisai_r_t	(	magma_s_matrix	b,
		magma_s_matrix *	x,
		magma_s_preconditioner *	precond,
		magma_queue_t	queue )

Right-hand-side application of ISAI preconditioner.

Transpose.

Parameters

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

magma_siluisaisetup_lower()

magma_int_t magma_siluisaisetup_lower	(	magma_s_matrix	L,
		magma_s_matrix	S,
		magma_s_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_s_matrix lower triangular factor
[in]	S	magma_s_matrix pattern for the ISAI preconditioner for L
[out]	ISAIL	magma_s_matrix* ISAI preconditioner for L
[in]	queue	magma_queue_t Queue to execute in.

magma_siluisaisetup_upper()

magma_int_t magma_siluisaisetup_upper	(	magma_s_matrix	U,
		magma_s_matrix	S,
		magma_s_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_s_matrix lower triangular factor
[in]	S	magma_s_matrix pattern for the ISAI preconditioner for U
[out]	ISAIU	magma_s_matrix* ISAI preconditioner for U
[in]	queue	magma_queue_t Queue to execute in.

magma_sparic_cpu()

magma_int_t magma_sparic_cpu	(	magma_s_matrix	A,
		magma_s_matrix	b,
		magma_s_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_s_matrix input matrix A
[in]	b	magma_s_matrix input RHS b
[in,out]	precond	magma_s_preconditioner* preconditioner parameters
[in]	queue	magma_queue_t Queue to execute in.

magma_sparic_gpu()

magma_int_t magma_sparic_gpu	(	magma_s_matrix	A,
		magma_s_matrix	b,
		magma_s_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_s_matrix input matrix A
[in]	b	magma_s_matrix input RHS b
[in,out]	precond	magma_s_preconditioner* preconditioner parameters
[in]	queue	magma_queue_t Queue to execute in.

magma_sparict()

magma_int_t magma_sparict	(	magma_s_matrix	A,
		magma_s_matrix	b,
		magma_s_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_s_matrix input matrix A
[in]	b	magma_s_matrix input RHS b
[in,out]	precond	magma_s_preconditioner* preconditioner parameters
[in]	queue	magma_queue_t Queue to execute in.

magma_sparict_cpu()

magma_int_t magma_sparict_cpu	(	magma_s_matrix	A,
		magma_s_matrix	b,
		magma_s_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_s_matrix input matrix A
[in]	b	magma_s_matrix input RHS b
[in,out]	precond	magma_s_preconditioner* preconditioner parameters
[in]	queue	magma_queue_t Queue to execute in.

magma_sparilu_cpu()

magma_int_t magma_sparilu_cpu	(	magma_s_matrix	A,
		magma_s_matrix	b,
		magma_s_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_s_matrix input matrix A
[in]	b	magma_s_matrix input RHS b
[in,out]	precond	magma_s_preconditioner* preconditioner parameters
[in]	queue	magma_queue_t Queue to execute in.

magma_sparilu_gpu()

magma_int_t magma_sparilu_gpu	(	magma_s_matrix	A,
		magma_s_matrix	b,
		magma_s_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_s_matrix input matrix A
[in]	b	magma_s_matrix input RHS b
[in,out]	precond	magma_s_preconditioner* preconditioner parameters
[in]	queue	magma_queue_t Queue to execute in.

magma_sparilut()

magma_int_t magma_sparilut	(	magma_s_matrix	A,
		magma_s_matrix	b,
		magma_s_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_s_matrix input matrix A
[in]	b	magma_s_matrix input RHS b
[in,out]	precond	magma_s_preconditioner* preconditioner parameters
[in]	queue	magma_queue_t Queue to execute in.

magma_sparilut_cpu()

magma_int_t magma_sparilut_cpu	(	magma_s_matrix	A,
		magma_s_matrix	b,
		magma_s_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_s_matrix input matrix A
[in]	b	magma_s_matrix input RHS b
[in,out]	precond	magma_s_preconditioner* preconditioner parameters
[in]	queue	magma_queue_t Queue to execute in.

magma_sparilut_gpu()

magma_int_t magma_sparilut_gpu	(	magma_s_matrix	A,
		magma_s_matrix	b,
		magma_s_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_s_matrix input matrix A
[in]	b	magma_s_matrix input RHS b
[in,out]	precond	magma_s_preconditioner* preconditioner parameters
[in]	queue	magma_queue_t Queue to execute in.

magma_sparilut_gpu_nodp()

magma_int_t magma_sparilut_gpu_nodp	(	magma_s_matrix	A,
		magma_s_matrix	b,
		magma_s_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_sparilut_gpu(), except that it uses no dynamic paralellism

Parameters

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

magma_scumilusetup()

magma_int_t magma_scumilusetup	(	magma_s_matrix	A,
		magma_s_preconditioner *	precond,
		magma_queue_t	queue )

Prepares the ILU preconditioner via the cuSPARSE.

Parameters

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

magma_scumilusetup_transpose()

magma_int_t magma_scumilusetup_transpose	(	magma_s_matrix	A,
		magma_s_preconditioner *	precond,
		magma_queue_t	queue )

Prepares the ILU transpose preconditioner via the cuSPARSE.

Parameters

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

magma_scumilugeneratesolverinfo()

magma_int_t magma_scumilugeneratesolverinfo	(	magma_s_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_s_preconditioner* preconditioner parameters
[in]	queue	magma_queue_t Queue to execute in.

magma_sapplycumilu_l()

magma_int_t magma_sapplycumilu_l	(	magma_s_matrix	b,
		magma_s_matrix *	x,
		magma_s_preconditioner *	precond,
		magma_queue_t	queue )

Performs the left triangular solves using the ILU preconditioner.

Parameters

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

magma_sapplycumilu_l_transpose()

magma_int_t magma_sapplycumilu_l_transpose	(	magma_s_matrix	b,
		magma_s_matrix *	x,
		magma_s_preconditioner *	precond,
		magma_queue_t	queue )

Performs the left triangular solves using the transpose ILU preconditioner.

Parameters

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

magma_sapplycumilu_r()

magma_int_t magma_sapplycumilu_r	(	magma_s_matrix	b,
		magma_s_matrix *	x,
		magma_s_preconditioner *	precond,
		magma_queue_t	queue )

Performs the right triangular solves using the ILU preconditioner.

Parameters

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

magma_sapplycumilu_r_transpose()

magma_int_t magma_sapplycumilu_r_transpose	(	magma_s_matrix	b,
		magma_s_matrix *	x,
		magma_s_preconditioner *	precond,
		magma_queue_t	queue )

Performs the right triangular solves using the transpose ILU preconditioner.

Parameters

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

magma_sapplyiteric_l()

magma_int_t magma_sapplyiteric_l	(	magma_s_matrix	b,
		magma_s_matrix *	x,
		magma_s_preconditioner *	precond,
		magma_queue_t	queue )

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

Parameters

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

magma_sapplyiteric_r()

magma_int_t magma_sapplyiteric_r	(	magma_s_matrix	b,
		magma_s_matrix *	x,
		magma_s_preconditioner *	precond,
		magma_queue_t	queue )

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

Parameters

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

magma_sjaccard_weights()

magma_int_t magma_sjaccard_weights	(	magma_s_matrix	A,
		magma_s_matrix *	J,
		magma_queue_t	queue )

Computes Jaccard weights for a matrix.

Parameters

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

magma_sparilusetup()

magma_int_t magma_sparilusetup	(	magma_s_matrix	A,
		magma_s_matrix	b,
		magma_s_preconditioner *	precond,
		magma_queue_t	queue )

Prepares the ILU preconditioner via the iterative ILU iteration.

Parameters

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