cs_matrix_spmv_cuda.h File Reference

Sparse Matrix SpMV operations with CUDA. More...

#include "cs_defs.h"

Include dependency graph for cs_matrix_spmv_cuda.h:

Go to the source code of this file.

Functions
void	cs_matrix_spmv_cuda_finalize (void)
	Finalize CUDA matrix API. More...
void	cs_matrix_spmv_cuda_native (cs_matrix_t *matrix, bool exclude_diag, bool sync, cs_real_t d_x[], cs_real_t d_y[])
	Matrix.vector product y = A.x with MSR matrix, scalar CUDA version. More...
void	cs_matrix_spmv_cuda_csr (cs_matrix_t *matrix, bool exclude_diag, bool sync, cs_real_t d_x[], cs_real_t d_y[])
	Matrix.vector product y = A.x with CSR matrix, scalar CUDA version. More...
void	cs_matrix_spmv_cuda_csr_cusparse (cs_matrix_t *matrix, bool exclude_diag, bool sync, cs_real_t d_x[], cs_real_t d_y[])
	Matrix.vector product y = A.x with CSR matrix, scalar cuSPARSE version. More...
void	cs_matrix_spmv_cuda_msr (cs_matrix_t *matrix, bool exclude_diag, bool sync, cs_real_t d_x[], cs_real_t d_y[])
	Matrix.vector product y = A.x with MSR matrix, scalar CUDA version. More...
void	cs_matrix_spmv_cuda_msr_cusparse (cs_matrix_t *matrix, bool exclude_diag, bool sync, cs_real_t d_x[], cs_real_t d_y[])
	Matrix.vector product y = A.x with MSR matrix, scalar cuSPARSE version. More...
void	cs_matrix_spmv_cuda_msr_b (cs_matrix_t *matrix, bool exclude_diag, bool sync, cs_real_t d_x[], cs_real_t d_y[])
	Matrix.vector product y = A.x with MSR matrix, block diagonal CUDA version. More...
void	cs_matrix_spmv_cuda_msr_bb_cusparse (cs_matrix_t *matrix, bool exclude_diag, bool sync, cs_real_t d_x[], cs_real_t d_y[])
	Matrix.vector product y = A.x with MSR matrix, block cuSPARSE version. More...

Detailed Description

Sparse Matrix SpMV operations with CUDA.

Function Documentation

cs_matrix_spmv_cuda_csr()

void cs_matrix_spmv_cuda_csr	(	cs_matrix_t *	matrix,
		bool	exclude_diag,
		bool	sync,
		cs_real_t	d_x[],
		cs_real_t	d_y[]
	)

Matrix.vector product y = A.x with CSR matrix, scalar CUDA version.

Parameters

[in]	matrix	pointer to matrix structure
[in]	exclude_diag	exclude diagonal if true,
[in]	sync	synchronize ghost cells if true
[in]	d_x	multipliying vector values (on device)
[out]	d_y	resulting vector (on device)

cs_matrix_spmv_cuda_csr_cusparse()

void cs_matrix_spmv_cuda_csr_cusparse	(	cs_matrix_t *	matrix,
		bool	exclude_diag,
		bool	sync,
		cs_real_t	d_x[],
		cs_real_t	d_y[]
	)

Matrix.vector product y = A.x with CSR matrix, scalar cuSPARSE version.

Parameters

[in]	matrix	pointer to matrix structure
[in]	exclude_diag	exclude diagonal if true,
[in]	sync	synchronize ghost cells if true
[in]	d_x	multipliying vector values (on device)
[out]	d_y	resulting vector (on device)

cs_matrix_spmv_cuda_finalize()

void cs_matrix_spmv_cuda_finalize

(

void

)

Finalize CUDA matrix API.

This frees resources such as the cuSPARSE handle, if used.

cs_matrix_spmv_cuda_msr()

void cs_matrix_spmv_cuda_msr	(	cs_matrix_t *	matrix,
		bool	exclude_diag,
		bool	sync,
		cs_real_t	d_x[],
		cs_real_t	d_y[]
	)

Matrix.vector product y = A.x with MSR matrix, scalar CUDA version.

Parameters

[in]	matrix	pointer to matrix structure
[in]	exclude_diag	exclude diagonal if true,
[in]	sync	synchronize ghost cells if true
[in]	d_x	multipliying vector values (on device)
[out]	d_y	resulting vector (on device)

cs_matrix_spmv_cuda_msr_b()

void cs_matrix_spmv_cuda_msr_b	(	cs_matrix_t *	matrix,
		bool	exclude_diag,
		bool	sync,
		cs_real_t	d_x[],
		cs_real_t	d_y[]
	)

Matrix.vector product y = A.x with MSR matrix, block diagonal CUDA version.

Parameters

[in]	matrix	pointer to matrix structure
[in]	exclude_diag	exclude diagonal if true,
[in]	sync	synchronize ghost cells if true
[in]	d_x	multipliying vector values (on device)
[out]	d_y	resulting vector (on device)

cs_matrix_spmv_cuda_msr_bb_cusparse()

void cs_matrix_spmv_cuda_msr_bb_cusparse	(	cs_matrix_t *	matrix,
		bool	exclude_diag,
		bool	sync,
		cs_real_t	d_x[],
		cs_real_t	d_y[]
	)

Matrix.vector product y = A.x with MSR matrix, block cuSPARSE version.

Remmark: this functions is available with older cuSPARSE versions not providing the generic API, because they assume dense matrixes are always in column-major order, while row-major is needed with interleaved blocks.

Parameters

[in]	matrix	pointer to matrix structure
[in]	exclude_diag	exclude diagonal if true,
[in]	sync	synchronize ghost cells if true
[in]	d_x	multipliying vector values (on device)
[out]	d_y	resulting vector (on device)

cs_matrix_spmv_cuda_msr_cusparse()

void cs_matrix_spmv_cuda_msr_cusparse	(	cs_matrix_t *	matrix,
		bool	exclude_diag,
		bool	sync,
		cs_real_t	d_x[],
		cs_real_t	d_y[]
	)

Matrix.vector product y = A.x with MSR matrix, scalar cuSPARSE version.

Parameters

[in]	matrix	pointer to matrix structure
[in]	exclude_diag	exclude diagonal if true,
[in]	sync	synchronize ghost cells if true
[in]	d_x	multipliying vector values (on device)
[out]	d_y	resulting vector (on device)

cs_matrix_spmv_cuda_native()

void cs_matrix_spmv_cuda_native	(	cs_matrix_t *	matrix,
		bool	exclude_diag,
		bool	sync,
		cs_real_t	d_x[],
		cs_real_t	d_y[]
	)

Matrix.vector product y = A.x with MSR matrix, scalar CUDA version.

Parameters

[in]	matrix	pointer to matrix structure
[in]	exclude_diag	exclude diagonal if true,
[in]	sync	synchronize ghost cells if true
[in]	d_x	multipliying vector values (on device)
[out]	d_y	resulting vector (on device)