/*! \file */ /* ************************************************************************ * Copyright (C) 2023-2025 Advanced Micro Devices, Inc. All rights Reserved. * * Permission is hereby granted, free of charge, to any person obtaining a copy * of this software and associated documentation files (the Software), to deal * in the Software without restriction, including without limitation the rights * to use, copy, modify, merge, publish, distribute, sublicense, and/or sell * copies of the Software, and to permit persons to whom the Software is * furnished to do so, subject to the following conditions: * * The above copyright notice and this permission notice shall be included in * all copies or substantial portions of the Software. * * THE SOFTWARE IS PROVIDED AS IS, WITHOUT WARRANTY OF ANY KIND, EXPRESS OR * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN * THE SOFTWARE. * * ************************************************************************ */ #ifndef ROCSPARSE_BSRMV_H #define ROCSPARSE_BSRMV_H #include "../../rocsparse-types.h" #include "rocsparse/rocsparse-export.h" #ifdef __cplusplus extern "C" { #endif /*! \ingroup level2_module * \details * \p rocsparse_bsrmv_analysis performs the analysis step for \ref rocsparse_sbsrmv "rocsparse_Xbsrmv()". * It is expected that this function will be executed only once for a given sparsity pattern and particular operation * type. The gathered analysis meta data is stored in the \ref rocsparse_mat_info object and can be cleared by * \ref rocsparse_bsrmv_clear(). * * If the matrix sparsity pattern changes, the gathered information will become invalid. To perform another * sparse matrix multiplication with a matrix having a different sparsity pattern, either destroy * the old \p info object and create a new one or clear the existing \p info object using * \ref rocsparse_bsrmv_clear(). In both cases, the analysis will need to be called again. * * \note * This function is non-blocking and executed asynchronously with respect to the host. * It can return before the actual computation has finished. * * \note * This routine does not support execution in a hipGraph context. * * @param[in] * handle handle to the rocSPARSE library context queue. * @param[in] * dir matrix storage of BSR blocks. * @param[in] * trans matrix operation type. * @param[in] * mb number of block rows of the sparse BSR matrix. * @param[in] * nb number of block columns of the sparse BSR matrix. * @param[in] * nnzb number of non-zero blocks of the sparse BSR matrix. * @param[in] * descr descriptor of the sparse BSR matrix. Currently, only * \ref rocsparse_matrix_type_general is supported. * @param[in] * bsr_val array of \p nnzb blocks of the sparse BSR matrix. * @param[in] * bsr_row_ptr array of \p mb+1 elements that point to the start of every block row of * the sparse BSR matrix. * @param[in] * bsr_col_ind array of \p nnzb elements containing the block column indices of the sparse * BSR matrix. * @param[in] * block_dim block dimension of the sparse BSR matrix. * @param[out] * info structure that holds the information collected during the analysis step. * * \retval rocsparse_status_success the operation completed successfully. * \retval rocsparse_status_invalid_handle the library context was not initialized. * \retval rocsparse_status_invalid_size \p mb, \p nb, or \p nnzb is invalid. * \retval rocsparse_status_invalid_pointer \p descr, \p bsr_val, \p bsr_row_ptr, * \p bsr_col_ind, or \p info pointer is invalid. * \retval rocsparse_status_memory_error the buffer for the gathered information * could not be allocated. * \retval rocsparse_status_internal_error an internal error occurred. * \retval rocsparse_status_not_implemented * \p trans != \ref rocsparse_operation_none or * \ref rocsparse_matrix_type != \ref rocsparse_matrix_type_general. */ /**@{*/ ROCSPARSE_EXPORT rocsparse_status rocsparse_sbsrmv_analysis(rocsparse_handle handle, rocsparse_direction dir, rocsparse_operation trans, rocsparse_int mb, rocsparse_int nb, rocsparse_int nnzb, const rocsparse_mat_descr descr, const float* bsr_val, const rocsparse_int* bsr_row_ptr, const rocsparse_int* bsr_col_ind, rocsparse_int block_dim, rocsparse_mat_info info); ROCSPARSE_EXPORT rocsparse_status rocsparse_dbsrmv_analysis(rocsparse_handle handle, rocsparse_direction dir, rocsparse_operation trans, rocsparse_int mb, rocsparse_int nb, rocsparse_int nnzb, const rocsparse_mat_descr descr, const double* bsr_val, const rocsparse_int* bsr_row_ptr, const rocsparse_int* bsr_col_ind, rocsparse_int block_dim, rocsparse_mat_info info); ROCSPARSE_EXPORT rocsparse_status rocsparse_cbsrmv_analysis(rocsparse_handle handle, rocsparse_direction dir, rocsparse_operation trans, rocsparse_int mb, rocsparse_int nb, rocsparse_int nnzb, const rocsparse_mat_descr descr, const rocsparse_float_complex* bsr_val, const rocsparse_int* bsr_row_ptr, const rocsparse_int* bsr_col_ind, rocsparse_int block_dim, rocsparse_mat_info info); ROCSPARSE_EXPORT rocsparse_status rocsparse_zbsrmv_analysis(rocsparse_handle handle, rocsparse_direction dir, rocsparse_operation trans, rocsparse_int mb, rocsparse_int nb, rocsparse_int nnzb, const rocsparse_mat_descr descr, const rocsparse_double_complex* bsr_val, const rocsparse_int* bsr_row_ptr, const rocsparse_int* bsr_col_ind, rocsparse_int block_dim, rocsparse_mat_info info); /**@}*/ /*! \ingroup level2_module * \brief Sparse matrix vector multiplication using the BSR storage format. * * \details * \p rocsparse_bsrmv multiplies the scalar \f$\alpha\f$ with a sparse * \f$m \times n\f$ matrix, defined in BSR storage format, and the dense vector \f$x\f$ and adds the * result to the dense vector \f$y\f$ that is multiplied by the scalar \f$\beta\f$, such that * \f[ * y := \alpha \cdot op(A) \cdot x + \beta \cdot y, * \f] * with * \f[ * op(A) = \left\{ * \begin{array}{ll} * A, & \text{if trans == rocsparse_operation_none} * \end{array} * \right. * \f] * and where \f$m = mb \times block\_dim\f$ and \f$n= nb \times block\_dim\f$. * * The operation above can be done with or without analysis. Running with analysis might result in better performance * when computing the matrix vector product but will also incur a performance cost attributed to the additional analysis step. * For this reason, running with analysis makes sense when a user plans on computing the matrix vector product many times and * therefore can amortize the analysis cost. * * To run the operation above without analysis, call the \p rocsparse_bsrmv routine while passing * \p NULL for the \p info parameter. * * Running the operation with analysis involves two steps. First, create a \ref rocsparse_mat_info object * by calling \ref rocsparse_create_mat_info and then pass this to \ref rocsparse_sbsrmv_analysis "rocsparse_Xbsrmv_analysis()", * which will perform analysis on the sparsity pattern of the matrix \f$op(A)\f$. Then complete the operation by * calling \p rocsparse_bsrmv. The creation of the \p info object and the call to the analysis routine only need to be performed * once for a given sparsity pattern, while the computation can be performed repeatedly as long as the sparsity pattern has * not changed. After all calls to \p rocsparse_bsrmv have been made, the \p info object can be destroyed with a call to * \ref rocsparse_destroy_mat_info. * * When running with analysis, users might want to perform multiple sparse matrix * multiplications, with each sparse matrix having a different sparsity pattern. Instead of creating and destroying multiple * \ref rocsparse_mat_info objects for each unique sparsity pattern, the user can instead create the \p info object once and * then call \ref rocsparse_bsrmv_clear, followed by re-running the analysis in between each sparse matrix multiplication. * * \note * This function is non-blocking and executed asynchronously with respect to the host. * It can return before the actual computation has finished. * * \note * Currently, only \p trans == \ref rocsparse_operation_none is supported. * * \note * This routine supports execution in a hipGraph context. * * @param[in] * handle handle to the rocSPARSE library context queue. * @param[in] * dir matrix storage of BSR blocks. * @param[in] * trans matrix operation type. * @param[in] * mb number of block rows of the sparse BSR matrix. * @param[in] * nb number of block columns of the sparse BSR matrix. * @param[in] * nnzb number of non-zero blocks of the sparse BSR matrix. * @param[in] * alpha scalar \f$\alpha\f$. * @param[in] * descr descriptor of the sparse BSR matrix. Currently, only * \ref rocsparse_matrix_type_general is supported. * @param[in] * bsr_val array of \p nnzb blocks of the sparse BSR matrix. * @param[in] * bsr_row_ptr array of \p mb+1 elements that point to the start of every block row of * the sparse BSR matrix. * @param[in] * bsr_col_ind array of \p nnzb elements containing the block column indices of the sparse * BSR matrix. * @param[in] * block_dim block dimension of the sparse BSR matrix. * @param[in] * x array of \p nb*block_dim elements (\f$op(A) = A\f$) or \p mb*block_dim * elements (\f$op(A) = A^T\f$ or \f$op(A) = A^H\f$). * @param[in] * beta scalar \f$\beta\f$. * @param[inout] * y array of \p mb*block_dim elements (\f$op(A) = A\f$) or \p nb*block_dim * elements (\f$op(A) = A^T\f$ or \f$op(A) = A^H\f$). * @param[out] * info structure that holds the information collected during the analysis step. * * \retval rocsparse_status_success the operation completed successfully. * \retval rocsparse_status_invalid_handle the library context was not initialized. * \retval rocsparse_status_invalid_size \p mb, \p nb, \p nnzb, or \p block_dim is * invalid. * \retval rocsparse_status_invalid_pointer \p descr, \p alpha, \p bsr_val, * \p bsr_row_ind, \p bsr_col_ind, \p x, \p beta, or \p y pointer is invalid. * \retval rocsparse_status_arch_mismatch the device is not supported. * \retval rocsparse_status_not_implemented * \p trans != \ref rocsparse_operation_none or * \ref rocsparse_matrix_type != \ref rocsparse_matrix_type_general. * * \par Example * This example performs a sparse matrix vector multiplication in BSR format. * \snippet example_rocsparse_bsrmv.cpp doc example */ /**@{*/ ROCSPARSE_EXPORT rocsparse_status rocsparse_sbsrmv(rocsparse_handle handle, rocsparse_direction dir, rocsparse_operation trans, rocsparse_int mb, rocsparse_int nb, rocsparse_int nnzb, const float* alpha, const rocsparse_mat_descr descr, const float* bsr_val, const rocsparse_int* bsr_row_ptr, const rocsparse_int* bsr_col_ind, rocsparse_int block_dim, rocsparse_mat_info info, const float* x, const float* beta, float* y); ROCSPARSE_EXPORT rocsparse_status rocsparse_dbsrmv(rocsparse_handle handle, rocsparse_direction dir, rocsparse_operation trans, rocsparse_int mb, rocsparse_int nb, rocsparse_int nnzb, const double* alpha, const rocsparse_mat_descr descr, const double* bsr_val, const rocsparse_int* bsr_row_ptr, const rocsparse_int* bsr_col_ind, rocsparse_int block_dim, rocsparse_mat_info info, const double* x, const double* beta, double* y); ROCSPARSE_EXPORT rocsparse_status rocsparse_cbsrmv(rocsparse_handle handle, rocsparse_direction dir, rocsparse_operation trans, rocsparse_int mb, rocsparse_int nb, rocsparse_int nnzb, const rocsparse_float_complex* alpha, const rocsparse_mat_descr descr, const rocsparse_float_complex* bsr_val, const rocsparse_int* bsr_row_ptr, const rocsparse_int* bsr_col_ind, rocsparse_int block_dim, rocsparse_mat_info info, const rocsparse_float_complex* x, const rocsparse_float_complex* beta, rocsparse_float_complex* y); ROCSPARSE_EXPORT rocsparse_status rocsparse_zbsrmv(rocsparse_handle handle, rocsparse_direction dir, rocsparse_operation trans, rocsparse_int mb, rocsparse_int nb, rocsparse_int nnzb, const rocsparse_double_complex* alpha, const rocsparse_mat_descr descr, const rocsparse_double_complex* bsr_val, const rocsparse_int* bsr_row_ptr, const rocsparse_int* bsr_col_ind, rocsparse_int block_dim, rocsparse_mat_info info, const rocsparse_double_complex* x, const rocsparse_double_complex* beta, rocsparse_double_complex* y); /**@}*/ /*! \ingroup level2_module * \details * \p rocsparse_bsrmv_clear deallocates all memory that was allocated by * \ref rocsparse_sbsrmv_analysis "rocsparse_Xbsrmv_analysis()". This is especially useful * if memory is an issue and the analysis data is not required anymore for further computation, * for example, when switching to another sparse matrix format. * * Calling \p rocsparse_bsrmv_clear is optional. All allocated resources will be * cleared when the opaque \ref rocsparse_mat_info object is destroyed using * \ref rocsparse_destroy_mat_info(). * * \note * This routine does not support execution in a hipGraph context. * * @param[in] * handle handle to the rocSPARSE library context queue. * @param[inout] * info structure that holds the information collected during analysis step. * * \retval rocsparse_status_success the operation completed successfully. * \retval rocsparse_status_invalid_handle the library context was not initialized. * \retval rocsparse_status_invalid_pointer \p info pointer is invalid. * \retval rocsparse_status_memory_error the buffer for the gathered information * could not be deallocated. * \retval rocsparse_status_internal_error an internal error occurred. * */ ROCSPARSE_EXPORT rocsparse_status rocsparse_bsrmv_clear(rocsparse_handle handle, rocsparse_mat_info info); #ifdef __cplusplus } #endif #endif /* ROCSPARSE_BSRMV_H */