/*! \file */ /* ************************************************************************ * Copyright (C) 2023 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_CSRMV_H #define ROCSPARSE_CSRMV_H #include "../../rocsparse-types.h" #include "rocsparse/rocsparse-export.h" #ifdef __cplusplus extern "C" { #endif /*! \ingroup level2_module * \details * \p rocsparse_csrmv_analysis performs the analysis step for \ref rocsparse_scsrmv "rocsparse_Xcsrmv()". * It is expected that this function will be executed only once for a given sparsity pattern and particular operation * type. The gathered analysis metadata is stored in the \ref rocsparse_mat_info object and can be cleared by * \ref rocsparse_csrmv_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 info object using * \ref rocsparse_csrmv_clear(). In both cases, the analysis will need to be called again. * * \note * This function is blocking with respect to the host. * * \note * This routine does not support execution in a hipGraph context. * * @param[in] * handle handle to the rocSPARSE library context queue. * @param[in] * trans matrix operation type. * @param[in] * m number of rows of the sparse CSR matrix. * @param[in] * n number of columns of the sparse CSR matrix. * @param[in] * nnz number of non-zero entries of the sparse CSR matrix. * @param[in] * descr descriptor of the sparse CSR matrix. * @param[in] * csr_val array of \p nnz elements of the sparse CSR matrix. * @param[in] * csr_row_ptr array of \p m+1 elements that point to the start of every row of the * sparse CSR matrix. * @param[in] * csr_col_ind array of \p nnz elements containing the column indices of the sparse * CSR 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 m, \p n, or \p nnz is invalid. * \retval rocsparse_status_invalid_pointer \p descr, \p csr_val, \p csr_row_ptr, * \p csr_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 if \ref rocsparse_matrix_type is not one of * \ref rocsparse_matrix_type_general, \ref rocsparse_matrix_type_symmetric, or * \ref rocsparse_matrix_type_triangular. */ /**@{*/ ROCSPARSE_EXPORT rocsparse_status rocsparse_scsrmv_analysis(rocsparse_handle handle, rocsparse_operation trans, rocsparse_int m, rocsparse_int n, rocsparse_int nnz, const rocsparse_mat_descr descr, const float* csr_val, const rocsparse_int* csr_row_ptr, const rocsparse_int* csr_col_ind, rocsparse_mat_info info); ROCSPARSE_EXPORT rocsparse_status rocsparse_dcsrmv_analysis(rocsparse_handle handle, rocsparse_operation trans, rocsparse_int m, rocsparse_int n, rocsparse_int nnz, const rocsparse_mat_descr descr, const double* csr_val, const rocsparse_int* csr_row_ptr, const rocsparse_int* csr_col_ind, rocsparse_mat_info info); ROCSPARSE_EXPORT rocsparse_status rocsparse_ccsrmv_analysis(rocsparse_handle handle, rocsparse_operation trans, rocsparse_int m, rocsparse_int n, rocsparse_int nnz, const rocsparse_mat_descr descr, const rocsparse_float_complex* csr_val, const rocsparse_int* csr_row_ptr, const rocsparse_int* csr_col_ind, rocsparse_mat_info info); ROCSPARSE_EXPORT rocsparse_status rocsparse_zcsrmv_analysis(rocsparse_handle handle, rocsparse_operation trans, rocsparse_int m, rocsparse_int n, rocsparse_int nnz, const rocsparse_mat_descr descr, const rocsparse_double_complex* csr_val, const rocsparse_int* csr_row_ptr, const rocsparse_int* csr_col_ind, rocsparse_mat_info info); /**@}*/ /*! \ingroup level2_module * \details * \p rocsparse_csrmv_clear deallocates all memory that was allocated by * \ref rocsparse_scsrmv_analysis "rocsparse_Xcsrmv_analysis()". This is especially useful * if memory is an issue and the analysis data is not required for further * computation, for example, when switching to another sparse matrix format. * * \note * Calling \p rocsparse_csrmv_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 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_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_csrmv_clear(rocsparse_handle handle, rocsparse_mat_info info); /*! \ingroup level2_module * \brief Sparse matrix vector multiplication using the CSR storage format. * * \details * \p rocsparse_csrmv multiplies the scalar \f$\alpha\f$ with a sparse \f$m \times n\f$ * matrix, defined in CSR 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} \\ * A^T, & \text{if trans == rocsparse_operation_transpose} \\ * A^H, & \text{if trans == rocsparse_operation_conjugate_transpose} * \end{array} * \right. * \f] * * The \p info parameter is optional and contains information collected by * \ref rocsparse_scsrmv_analysis "rocsparse_Xcsrmv_analysis()". If present, the * information will be used to speed up the \p csrmv computation. If * \p info == \p NULL, a general \p csrmv routine will be used instead. 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 computing * the matrix vector product many times, therefore amortizing the analysis cost. * * \code{.c} * for(i = 0; i < m; ++i) * { * y[i] = beta * y[i]; * * for(j = csr_row_ptr[i]; j < csr_row_ptr[i + 1]; ++j) * { * y[i] = y[i] + alpha * csr_val[j] * x[csr_col_ind[j]]; * } * } * \endcode * * To run the above operation without analysis, call the \p rocsparse_csrmv routine while passing * \p NULL for the \p info parameter. * * With analysis, completing the sparse matrix vector multiplication 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_scsrmv_analysis "rocsparse_Xcsrmv_analysis()", which will perform analysis on the sparsity pattern of the * matrix \f$op(A)\f$. Then complete the operation by calling \p rocsparse_csrmv. 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_csrmv have * been made, the \p info object can be destroyed with a call to \ref rocsparse_destroy_mat_info. * * When running with analysis, a user 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, they can instead create the \p info object once and * then call \ref rocsparse_csrmv_clear and rerun 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 * This routine supports execution in a hipGraph context. * * @param[in] * handle handle to the rocSPARSE library context queue. * @param[in] * trans matrix operation type. * @param[in] * m number of rows of the sparse CSR matrix. * @param[in] * n number of columns of the sparse CSR matrix. * @param[in] * nnz number of non-zero entries of the sparse CSR matrix. * @param[in] * alpha scalar \f$\alpha\f$. * @param[in] * descr descriptor of the sparse CSR matrix. Currently, only * \ref rocsparse_matrix_type_general is supported. * @param[in] * csr_val array of \p nnz elements of the sparse CSR matrix. * @param[in] * csr_row_ptr array of \p m+1 elements that point to the start * of every row of the sparse CSR matrix. * @param[in] * csr_col_ind array of \p nnz elements containing the column indices of the sparse * CSR matrix. * @param[in] * info information collected by \ref rocsparse_scsrmv_analysis "rocsparse_Xcsrmv_analysis()", * which can be \p NULL if no information is available. * @param[in] * x array of \p n elements (\f$op(A) == A\f$) or \p m 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 m elements (\f$op(A) == A\f$) or \p n elements * (\f$op(A) == A^T\f$ or \f$op(A) == A^H\f$). * * \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 m, \p n, or \p nnz is invalid. * \retval rocsparse_status_invalid_pointer \p descr, \p alpha, \p csr_val, * \p csr_row_ptr, \p csr_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 * \ref rocsparse_matrix_type != \ref rocsparse_matrix_type_general. * * \par Example * This example performs a sparse matrix vector multiplication in CSR format * using additional meta data to improve performance. * \snippet example_rocsparse_csrmv.cpp doc example */ /**@{*/ ROCSPARSE_EXPORT rocsparse_status rocsparse_scsrmv(rocsparse_handle handle, rocsparse_operation trans, rocsparse_int m, rocsparse_int n, rocsparse_int nnz, const float* alpha, const rocsparse_mat_descr descr, const float* csr_val, const rocsparse_int* csr_row_ptr, const rocsparse_int* csr_col_ind, rocsparse_mat_info info, const float* x, const float* beta, float* y); ROCSPARSE_EXPORT rocsparse_status rocsparse_dcsrmv(rocsparse_handle handle, rocsparse_operation trans, rocsparse_int m, rocsparse_int n, rocsparse_int nnz, const double* alpha, const rocsparse_mat_descr descr, const double* csr_val, const rocsparse_int* csr_row_ptr, const rocsparse_int* csr_col_ind, rocsparse_mat_info info, const double* x, const double* beta, double* y); ROCSPARSE_EXPORT rocsparse_status rocsparse_ccsrmv(rocsparse_handle handle, rocsparse_operation trans, rocsparse_int m, rocsparse_int n, rocsparse_int nnz, const rocsparse_float_complex* alpha, const rocsparse_mat_descr descr, const rocsparse_float_complex* csr_val, const rocsparse_int* csr_row_ptr, const rocsparse_int* csr_col_ind, rocsparse_mat_info info, const rocsparse_float_complex* x, const rocsparse_float_complex* beta, rocsparse_float_complex* y); ROCSPARSE_EXPORT rocsparse_status rocsparse_zcsrmv(rocsparse_handle handle, rocsparse_operation trans, rocsparse_int m, rocsparse_int n, rocsparse_int nnz, const rocsparse_double_complex* alpha, const rocsparse_mat_descr descr, const rocsparse_double_complex* csr_val, const rocsparse_int* csr_row_ptr, const rocsparse_int* csr_col_ind, rocsparse_mat_info info, const rocsparse_double_complex* x, const rocsparse_double_complex* beta, rocsparse_double_complex* y); /**@}*/ #ifdef __cplusplus } #endif #endif /* ROCSPARSE_CSRMV_H */