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cublas_syr_example.cu
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cublas_syr_example.cu
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/*
* Copyright 2020 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.
*/
#include <cstdio>
#include <cstdlib>
#include <vector>
#include <cublas_v2.h>
#include <cuda_runtime.h>
#include "cublas_utils.h"
using data_type = double;
int main(int argc, char *argv[]) {
cublasHandle_t cublasH = NULL;
cudaStream_t stream = NULL;
const int m = 2;
const int n = 2;
const int lda = m;
/*
* A = | 1.0 3.0 |
* | 3.0 4.0 |
* x = | 5.0 6.0 |
*/
std::vector<data_type> A = {1.0, 3.0, 3.0, 4.0};
const std::vector<data_type> x = {5.0, 6.0};
const data_type alpha = 1.0;
const int incx = 1;
data_type *d_A = nullptr;
data_type *d_x = nullptr;
cublasFillMode_t uplo = CUBLAS_FILL_MODE_UPPER;
printf("A\n");
print_matrix(m, n, A.data(), lda);
printf("=====\n");
printf("x\n");
print_vector(x.size(), x.data());
printf("=====\n");
/* step 1: create cublas handle, bind a stream */
CUBLAS_CHECK(cublasCreate(&cublasH));
CUDA_CHECK(cudaStreamCreateWithFlags(&stream, cudaStreamNonBlocking));
CUBLAS_CHECK(cublasSetStream(cublasH, stream));
/* step 2: copy data to device */
CUDA_CHECK(cudaMalloc(reinterpret_cast<void **>(&d_A), sizeof(data_type) * A.size()));
CUDA_CHECK(cudaMalloc(reinterpret_cast<void **>(&d_x), sizeof(data_type) * x.size()));
CUDA_CHECK(cudaMemcpyAsync(d_A, A.data(), sizeof(data_type) * A.size(),
cudaMemcpyHostToDevice, stream));
CUDA_CHECK(cudaMemcpyAsync(d_x, x.data(), sizeof(data_type) * x.size(), cudaMemcpyHostToDevice,
stream));
/* step 3: compute */
CUBLAS_CHECK(cublasDsyr(cublasH, uplo, n, &alpha, d_x, incx, d_A, lda));
/* step 4: copy data to host */
CUDA_CHECK(cudaMemcpyAsync(A.data(), d_A, sizeof(data_type) * A.size(),
cudaMemcpyDeviceToHost, stream));
CUDA_CHECK(cudaStreamSynchronize(stream));
/*
* A = | 26.0 33.0 |
* | 3.0 40.0 |
*/
printf("A\n");
print_matrix(m, n, A.data(), lda);
printf("=====\n");
/* free resources */
CUDA_CHECK(cudaFree(d_A));
CUDA_CHECK(cudaFree(d_x));
CUBLAS_CHECK(cublasDestroy(cublasH));
CUDA_CHECK(cudaStreamDestroy(stream));
CUDA_CHECK(cudaDeviceReset());
return EXIT_SUCCESS;
}