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190 lines
8.2 KiB
C
190 lines
8.2 KiB
C
/*! \file */
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/* ************************************************************************
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* Copyright (C) 2023-2024 Advanced Micro Devices, Inc. All rights Reserved.
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*
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* Permission is hereby granted, free of charge, to any person obtaining a copy
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* of this software and associated documentation files (the Software), to deal
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* in the Software without restriction, including without limitation the rights
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* to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
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* copies of the Software, and to permit persons to whom the Software is
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* furnished to do so, subject to the following conditions:
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*
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* The above copyright notice and this permission notice shall be included in
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* all copies or substantial portions of the Software.
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*
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* THE SOFTWARE IS PROVIDED AS IS, WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
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* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
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* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
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* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
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* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
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* THE SOFTWARE.
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*
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* ************************************************************************ */
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#ifndef ROCSPARSE_ELLMV_H
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#define ROCSPARSE_ELLMV_H
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#include "../../rocsparse-types.h"
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#include "rocsparse/rocsparse-export.h"
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#ifdef __cplusplus
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extern "C" {
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#endif
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/*! \ingroup level2_module
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* \brief Sparse matrix vector multiplication using the ELL storage format.
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*
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* \details
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* \p rocsparse_ellmv multiplies the scalar \f$\alpha\f$ with a sparse \f$m \times n\f$
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* matrix, defined in ELL storage format, and the dense vector \f$x\f$ and adds the
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* result to the dense vector \f$y\f$ that is multiplied by the scalar \f$\beta\f$,
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* such that
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* \f[
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* y := \alpha \cdot op(A) \cdot x + \beta \cdot y,
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* \f]
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* with
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* \f[
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* op(A) = \left\{
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* \begin{array}{ll}
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* A, & \text{if trans == rocsparse_operation_none} \\
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* A^T, & \text{if trans == rocsparse_operation_transpose} \\
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* A^H, & \text{if trans == rocsparse_operation_conjugate_transpose}
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* \end{array}
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* \right.
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* \f]
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*
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* \code{.c}
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* for(i = 0; i < m; ++i)
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* {
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* y[i] = beta * y[i];
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*
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* for(p = 0; p < ell_width; ++p)
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* {
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* idx = p * m + i;
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*
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* if((ell_col_ind[idx] >= 0) && (ell_col_ind[idx] < n))
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* {
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* y[i] = y[i] + alpha * ell_val[idx] * x[ell_col_ind[idx]];
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* }
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* }
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* }
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* \endcode
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*
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* \note
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* This function does not produce deterministic results when A is transposed.
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*
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* \note
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* This function is non-blocking and executed asynchronously with respect to the host.
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* It can return before the actual computation has finished.
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*
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* \note
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* This routine supports execution in a hipGraph context.
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*
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* @param[in]
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* handle handle to the rocSPARSE library context queue.
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* @param[in]
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* trans matrix operation type.
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* @param[in]
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* m number of rows of the sparse ELL matrix.
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* @param[in]
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* n number of columns of the sparse ELL matrix.
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* @param[in]
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* alpha scalar \f$\alpha\f$.
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* @param[in]
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* descr descriptor of the sparse ELL matrix. Currently, only
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* \ref rocsparse_matrix_type_general is supported.
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* @param[in]
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* ell_val array that contains the elements of the sparse ELL matrix. Padded
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* elements should be zero.
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* @param[in]
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* ell_col_ind array that contains the column indices of the sparse ELL matrix.
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* Padded column indices should be -1.
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* @param[in]
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* ell_width number of non-zero elements per row of the sparse ELL matrix.
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* @param[in]
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* x array of \p n elements (\f$op(A) == A\f$) or \p m elements
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* (\f$op(A) == A^T\f$ or \f$op(A) == A^H\f$).
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* @param[in]
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* beta scalar \f$\beta\f$.
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* @param[inout]
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* y array of \p m elements (\f$op(A) == A\f$) or \p n elements
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* (\f$op(A) == A^T\f$ or \f$op(A) == A^H\f$).
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*
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* \retval rocsparse_status_success the operation completed successfully.
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* \retval rocsparse_status_invalid_handle the library context was not initialized.
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* \retval rocsparse_status_invalid_size \p m, \p n, or \p ell_width is invalid.
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* \retval rocsparse_status_invalid_pointer \p descr, \p alpha, \p ell_val,
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* \p ell_col_ind, \p x, \p beta, or \p y pointer is invalid.
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* \retval rocsparse_status_not_implemented
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* \ref rocsparse_matrix_type != \ref rocsparse_matrix_type_general.
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*
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* \par Example
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* This example performs a sparse matrix vector multiplication in ELL format. It also shows how to convert
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* from CSR to ELL format.
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* \snippet example_rocsparse_ellmv.cpp doc example
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*/
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/**@{*/
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ROCSPARSE_EXPORT
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rocsparse_status rocsparse_sellmv(rocsparse_handle handle,
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rocsparse_operation trans,
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rocsparse_int m,
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rocsparse_int n,
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const float* alpha,
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const rocsparse_mat_descr descr,
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const float* ell_val,
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const rocsparse_int* ell_col_ind,
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rocsparse_int ell_width,
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const float* x,
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const float* beta,
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float* y);
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ROCSPARSE_EXPORT
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rocsparse_status rocsparse_dellmv(rocsparse_handle handle,
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rocsparse_operation trans,
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rocsparse_int m,
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rocsparse_int n,
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const double* alpha,
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const rocsparse_mat_descr descr,
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const double* ell_val,
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const rocsparse_int* ell_col_ind,
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rocsparse_int ell_width,
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const double* x,
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const double* beta,
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double* y);
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ROCSPARSE_EXPORT
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rocsparse_status rocsparse_cellmv(rocsparse_handle handle,
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rocsparse_operation trans,
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rocsparse_int m,
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rocsparse_int n,
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const rocsparse_float_complex* alpha,
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const rocsparse_mat_descr descr,
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const rocsparse_float_complex* ell_val,
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const rocsparse_int* ell_col_ind,
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rocsparse_int ell_width,
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const rocsparse_float_complex* x,
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const rocsparse_float_complex* beta,
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rocsparse_float_complex* y);
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ROCSPARSE_EXPORT
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rocsparse_status rocsparse_zellmv(rocsparse_handle handle,
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rocsparse_operation trans,
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rocsparse_int m,
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rocsparse_int n,
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const rocsparse_double_complex* alpha,
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const rocsparse_mat_descr descr,
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const rocsparse_double_complex* ell_val,
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const rocsparse_int* ell_col_ind,
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rocsparse_int ell_width,
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const rocsparse_double_complex* x,
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const rocsparse_double_complex* beta,
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rocsparse_double_complex* y);
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/**@}*/
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#ifdef __cplusplus
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}
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#endif
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#endif /* ROCSPARSE_ELLMV_H */
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