derek.holloway
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175 lines
8.7 KiB
C
175 lines
8.7 KiB
C
/*! \file */
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/* ************************************************************************
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* Copyright (C) 2025 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 HIPSPARSE_BSRMV_H
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#define HIPSPARSE_BSRMV_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 BSR storage format.
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*
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* \details
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* \p hipsparseXbsrmv multiplies the scalar \f$\alpha\f$ with a sparse
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* \f$m \times n\f$ matrix, defined in BSR 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$\beta\f$, 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 == HIPSPARSE_OPERATION_NON_TRANSPOSE}
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* \end{array}
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* \right.
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* \f]
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* and where \f$m = mb \times blockDim\f$ and \f$n= nb \times blockDim\f$.
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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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* Currently, only \p transA == \ref HIPSPARSE_OPERATION_NON_TRANSPOSE is supported.
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*
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* @param[in]
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* handle handle to the hipSPARSE library context queue.
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* @param[in]
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* dirA matrix storage of BSR blocks.
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* @param[in]
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* transA matrix operation type.
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* @param[in]
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* mb number of block rows of the sparse BSR matrix. Must be non-negative.
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* @param[in]
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* nb number of block columns of the sparse BSR matrix. Must be non-negative.
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* @param[in]
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* nnzb number of non-zero blocks of the sparse BSR matrix. Must be non-negative.
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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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* descrA descriptor of the sparse BSR matrix. Currently, only
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* \ref HIPSPARSE_MATRIX_TYPE_GENERAL is supported.
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* @param[in]
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* bsrSortedValA array of \p nnzb blocks of the sparse BSR matrix.
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* @param[in]
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* bsrSortedRowPtrA array of \p mb+1 elements that point to the start of every block row of
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* the sparse BSR matrix.
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* @param[in]
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* bsrSortedColIndA array of \p nnzb elements containing the block column indices of the sparse
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* BSR matrix.
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* @param[in]
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* blockDim block dimension of the sparse BSR matrix. Must be positive.
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* @param[in]
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* x array of \p nb*blockDim elements (\f$op(A) = A\f$) or \p mb*blockDim
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* elements (\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 mb*blockDim elements (\f$op(A) = A\f$) or \p nb*blockDim
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* elements (\f$op(A) = A^T\f$ or \f$op(A) = A^H\f$).
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*
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* \retval HIPSPARSE_STATUS_SUCCESS the operation completed successfully.
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* \retval HIPSPARSE_STATUS_NOT_INITIALIZED \p handle is not initialized.
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* \retval HIPSPARSE_STATUS_INVALID_VALUE \p handle, \p descrA, \p alpha, or \p beta is nullptr,
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* \p mb, \p nb, or \p nnzb is negative, \p blockDim is less than or equal to zero, or
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* \p bsrSortedValA, \p bsrSortedRowPtrA, \p bsrSortedColIndA, \p x, or \p y is nullptr.
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* \retval HIPSPARSE_STATUS_ARCH_MISMATCH the device is not supported.
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* \retval HIPSPARSE_STATUS_NOT_SUPPORTED \p transA is not \ref HIPSPARSE_OPERATION_NON_TRANSPOSE
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* or \ref hipsparseMatrixType_t is not \ref HIPSPARSE_MATRIX_TYPE_GENERAL.
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*/
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/**@{*/
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HIPSPARSE_EXPORT
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hipsparseStatus_t hipsparseSbsrmv(hipsparseHandle_t handle,
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hipsparseDirection_t dirA,
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hipsparseOperation_t transA,
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int mb,
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int nb,
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int nnzb,
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const float* alpha,
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const hipsparseMatDescr_t descrA,
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const float* bsrSortedValA,
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const int* bsrSortedRowPtrA,
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const int* bsrSortedColIndA,
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int blockDim,
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const float* x,
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const float* beta,
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float* y);
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HIPSPARSE_EXPORT
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hipsparseStatus_t hipsparseDbsrmv(hipsparseHandle_t handle,
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hipsparseDirection_t dirA,
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hipsparseOperation_t transA,
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int mb,
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int nb,
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int nnzb,
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const double* alpha,
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const hipsparseMatDescr_t descrA,
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const double* bsrSortedValA,
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const int* bsrSortedRowPtrA,
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const int* bsrSortedColIndA,
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int blockDim,
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const double* x,
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const double* beta,
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double* y);
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HIPSPARSE_EXPORT
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hipsparseStatus_t hipsparseCbsrmv(hipsparseHandle_t handle,
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hipsparseDirection_t dirA,
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hipsparseOperation_t transA,
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int mb,
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int nb,
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int nnzb,
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const hipComplex* alpha,
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const hipsparseMatDescr_t descrA,
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const hipComplex* bsrSortedValA,
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const int* bsrSortedRowPtrA,
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const int* bsrSortedColIndA,
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int blockDim,
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const hipComplex* x,
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const hipComplex* beta,
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hipComplex* y);
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HIPSPARSE_EXPORT
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hipsparseStatus_t hipsparseZbsrmv(hipsparseHandle_t handle,
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hipsparseDirection_t dirA,
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hipsparseOperation_t transA,
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int mb,
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int nb,
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int nnzb,
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const hipDoubleComplex* alpha,
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const hipsparseMatDescr_t descrA,
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const hipDoubleComplex* bsrSortedValA,
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const int* bsrSortedRowPtrA,
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const int* bsrSortedColIndA,
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int blockDim,
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const hipDoubleComplex* x,
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const hipDoubleComplex* beta,
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hipDoubleComplex* 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 /* HIPSPARSE_BSRMV_H */
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