This code demonstrates a usage of cuBLAS syr function to compute a symmetric rank-1 update
A = | 1.0 | 3.0 |
| 3.0 | 4.0 |
x = | 5.0 | 6.0 |
See documentation for further details.
All GPUs supported by CUDA Toolkit (https://developer.nvidia.com/cuda-gpus)
Linux
Windows
x86_64
ppc64le
arm64-sbsa
- A Linux/Windows system with recent NVIDIA drivers.
- CMake version 3.18 minimum
$ mkdir build
$ cd build
$ cmake ..
$ make
Make sure that CMake finds expected CUDA Toolkit. If that is not the case you can add argument -DCMAKE_CUDA_COMPILER=/path/to/cuda/bin/nvcc to cmake command.
$ mkdir build
$ cd build
$ cmake -DCMAKE_GENERATOR_PLATFORM=x64 ..
$ Open cublas_examples.sln project in Visual Studio and build
$ ./cublas_syr_example
Sample example output:
A
1.00 2.00
3.00 4.00
=====
x
5.00 6.00
=====
A
26.00 33.00
3.00 40.00
=====