/* * Copyright 2019 NVIDIA Corporation. All rights reserved. * * NOTICE TO LICENSEE: * * This source code and/or documentation ("Licensed Deliverables") are * subject to NVIDIA intellectual property rights under U.S. and * international Copyright laws. * * These Licensed Deliverables contained herein is PROPRIETARY and * CONFIDENTIAL to NVIDIA and is being provided under the terms and * conditions of a form of NVIDIA software license agreement by and * between NVIDIA and Licensee ("License Agreement") or electronically * accepted by Licensee. Notwithstanding any terms or conditions to * the contrary in the License Agreement, reproduction or disclosure * of the Licensed Deliverables to any third party without the express * written consent of NVIDIA is prohibited. * * NOTWITHSTANDING ANY TERMS OR CONDITIONS TO THE CONTRARY IN THE * LICENSE AGREEMENT, NVIDIA MAKES NO REPRESENTATION ABOUT THE * SUITABILITY OF THESE LICENSED DELIVERABLES FOR ANY PURPOSE. IT IS * PROVIDED "AS IS" WITHOUT EXPRESS OR IMPLIED WARRANTY OF ANY KIND. * NVIDIA DISCLAIMS ALL WARRANTIES WITH REGARD TO THESE LICENSED * DELIVERABLES, INCLUDING ALL IMPLIED WARRANTIES OF MERCHANTABILITY, * NONINFRINGEMENT, AND FITNESS FOR A PARTICULAR PURPOSE. * NOTWITHSTANDING ANY TERMS OR CONDITIONS TO THE CONTRARY IN THE * LICENSE AGREEMENT, IN NO EVENT SHALL NVIDIA BE LIABLE FOR ANY * SPECIAL, INDIRECT, INCIDENTAL, OR CONSEQUENTIAL DAMAGES, OR ANY * DAMAGES WHATSOEVER RESULTING FROM LOSS OF USE, DATA OR PROFITS, * WHETHER IN AN ACTION OF CONTRACT, NEGLIGENCE OR OTHER TORTIOUS * ACTION, ARISING OUT OF OR IN CONNECTION WITH THE USE OR PERFORMANCE * OF THESE LICENSED DELIVERABLES. * * U.S. Government End Users. These Licensed Deliverables are a * "commercial item" as that term is defined at 48 C.F.R. 2.101 (OCT * 1995), consisting of "commercial computer software" and "commercial * computer software documentation" as such terms are used in 48 * C.F.R. 12.212 (SEPT 1995) and is provided to the U.S. Government * only as a commercial end item. Consistent with 48 C.F.R.12.212 and * 48 C.F.R. 227.7202-1 through 227.7202-4 (JUNE 1995), all * U.S. Government End Users acquire the Licensed Deliverables with * only those rights set forth herein. * * Any use of the Licensed Deliverables in individual and commercial * software must include, in the user documentation and internal * comments to the code, the above Disclaimer and U.S. Government End * Users Notice. */ #if !defined(CUSOLVERMG_H_) #define CUSOLVERMG_H_ #include #include "cusolverDn.h" #if defined(__cplusplus) extern "C" { #endif /* __cplusplus */ struct cusolverMgContext; typedef struct cusolverMgContext *cusolverMgHandle_t; /** * \beief This enum decides how 1D device Ids (or process ranks) get mapped to * a 2D grid. */ typedef enum { CUDALIBMG_GRID_MAPPING_ROW_MAJOR = 1, CUDALIBMG_GRID_MAPPING_COL_MAJOR = 0 } cusolverMgGridMapping_t; /** \brief Opaque structure of the distributed grid */ typedef void *cudaLibMgGrid_t; /** \brief Opaque structure of the distributed matrix descriptor */ typedef void *cudaLibMgMatrixDesc_t; cusolverStatus_t CUSOLVERAPI cusolverMgCreate(cusolverMgHandle_t *handle); cusolverStatus_t CUSOLVERAPI cusolverMgDestroy(cusolverMgHandle_t handle); cusolverStatus_t CUSOLVERAPI cusolverMgDeviceSelect( cusolverMgHandle_t handle, int nbDevices, int deviceId[]); /** * \brief Allocates resources related to the shared memory device grid. * \param[out] grid the opaque data strcuture that holds the grid * \param[in] numRowDevices number of devices in the row * \param[in] numColDevices number of devices in the column * \param[in] deviceId This array of size height * width stores the * device-ids of the 2D grid; each entry must correspond to a valid * gpu or to -1 (denoting CPU). \param[in] mapping whether the 2D grid is in * row/column major \returns the status code */ cusolverStatus_t CUSOLVERAPI cusolverMgCreateDeviceGrid( cudaLibMgGrid_t * grid, int32_t numRowDevices, int32_t numColDevices, const int32_t deviceId[], cusolverMgGridMapping_t mapping); /** * \brief Releases the allocated resources related to the distributed grid. * \param[in] grid the opaque data strcuture that holds the distributed grid * \returns the status code */ cusolverStatus_t CUSOLVERAPI cusolverMgDestroyGrid(cudaLibMgGrid_t grid); /** * \brief Allocates resources related to the distributed matrix descriptor. * \param[out] desc the opaque data strcuture that holds the descriptor * \param[in] numRows number of total rows * \param[in] numCols number of total columns * \param[in] rowBlockSize row block size * \param[in] colBlockSize column block size * \param[in] dataType the data type of each element in cudaDataType * \param[in] grid the opaque data structure of the distributed grid * \returns the status code */ cusolverStatus_t CUSOLVERAPI cusolverMgCreateMatrixDesc( cudaLibMgMatrixDesc_t *desc, int64_t numRows, int64_t numCols, int64_t rowBlockSize, int64_t colBlockSize, cudaDataType dataType, const cudaLibMgGrid_t grid); /** * \brief Releases the allocated resources related to the distributed matrix * descriptor. \param[in] desc the opaque data strcuture that holds the * descriptor \returns the status code */ cusolverStatus_t CUSOLVERAPI cusolverMgDestroyMatrixDesc(cudaLibMgMatrixDesc_t desc); cusolverStatus_t CUSOLVERAPI cusolverMgSyevd_bufferSize( cusolverMgHandle_t handle, cusolverEigMode_t jobz, cublasFillMode_t uplo, int N, void * array_d_A[], int IA, int JA, cudaLibMgMatrixDesc_t descrA, void * W, cudaDataType dataTypeW, cudaDataType computeType, int64_t * lwork); cusolverStatus_t CUSOLVERAPI cusolverMgSyevd( cusolverMgHandle_t handle, cusolverEigMode_t jobz, cublasFillMode_t uplo, int N, void * array_d_A[], int IA, int JA, cudaLibMgMatrixDesc_t descrA, void * W, cudaDataType dataTypeW, cudaDataType computeType, void * array_d_work[], int64_t lwork, int * info); cusolverStatus_t CUSOLVERAPI cusolverMgGetrf_bufferSize( cusolverMgHandle_t handle, int M, int N, void * array_d_A[], int IA, int JA, cudaLibMgMatrixDesc_t descrA, int * array_d_IPIV[], cudaDataType computeType, int64_t * lwork); cusolverStatus_t CUSOLVERAPI cusolverMgGetrf( cusolverMgHandle_t handle, int M, int N, void * array_d_A[], int IA, int JA, cudaLibMgMatrixDesc_t descrA, int * array_d_IPIV[], cudaDataType computeType, void * array_d_work[], int64_t lwork, int * info); cusolverStatus_t CUSOLVERAPI cusolverMgGetrs_bufferSize( cusolverMgHandle_t handle, cublasOperation_t TRANS, int N, int NRHS, void * array_d_A[], int IA, int JA, cudaLibMgMatrixDesc_t descrA, int * array_d_IPIV[], void * array_d_B[], int IB, int JB, cudaLibMgMatrixDesc_t descrB, cudaDataType computeType, int64_t * lwork); cusolverStatus_t CUSOLVERAPI cusolverMgGetrs( cusolverMgHandle_t handle, cublasOperation_t TRANS, int N, int NRHS, void * array_d_A[], int IA, int JA, cudaLibMgMatrixDesc_t descrA, int * array_d_IPIV[], void * array_d_B[], int IB, int JB, cudaLibMgMatrixDesc_t descrB, cudaDataType computeType, void * array_d_work[], int64_t lwork, int * info); cusolverStatus_t CUSOLVERAPI cusolverMgPotrf_bufferSize( cusolverMgHandle_t handle, cublasFillMode_t uplo, int N, void * array_d_A[], int IA, int JA, cudaLibMgMatrixDesc_t descrA, cudaDataType computeType, int64_t * lwork); cusolverStatus_t CUSOLVERAPI cusolverMgPotrf( cusolverMgHandle_t handle, cublasFillMode_t uplo, int N, void * array_d_A[], int IA, int JA, cudaLibMgMatrixDesc_t descrA, cudaDataType computeType, void * array_d_work[], int64_t lwork, int * h_info); cusolverStatus_t CUSOLVERAPI cusolverMgPotrs_bufferSize( cusolverMgHandle_t handle, cublasFillMode_t uplo, int n, int nrhs, void * array_d_A[], int IA, int JA, cudaLibMgMatrixDesc_t descrA, void * array_d_B[], int IB, int JB, cudaLibMgMatrixDesc_t descrB, cudaDataType computeType, int64_t * lwork); cusolverStatus_t CUSOLVERAPI cusolverMgPotrs( cusolverMgHandle_t handle, cublasFillMode_t uplo, int n, int nrhs, void * array_d_A[], int IA, int JA, cudaLibMgMatrixDesc_t descrA, void * array_d_B[], int IB, int JB, cudaLibMgMatrixDesc_t descrB, cudaDataType computeType, void * array_d_work[], int64_t lwork, int * h_info); cusolverStatus_t CUSOLVERAPI cusolverMgPotri_bufferSize( cusolverMgHandle_t handle, cublasFillMode_t uplo, int N, void * array_d_A[], int IA, int JA, cudaLibMgMatrixDesc_t descrA, cudaDataType computeType, int64_t * lwork); cusolverStatus_t CUSOLVERAPI cusolverMgPotri( cusolverMgHandle_t handle, cublasFillMode_t uplo, int N, void * array_d_A[], int IA, int JA, cudaLibMgMatrixDesc_t descrA, cudaDataType computeType, void * array_d_work[], int64_t lwork, int * h_info); #if defined(__cplusplus) } #endif /* __cplusplus */ #endif // CUSOLVERMG_H_