hpr

cuBLAS Level-2 APIs - cublas<t>hpr

Description

This code demonstrates a usage of cuBLAS hpr function to compute a packed Hermitian rank-1 update

A = | 1.1 + 1.2j | 2.3 + 2.4j |
    | 3.5 + 3.6j | 4.7 + 4.8j |
    
x = | 5.1 + 6.2j | 7.3 + 8.4j |

See documentation for further details.

Supported SM Architectures

All GPUs supported by CUDA Toolkit (https://developer.nvidia.com/cuda-gpus)

Supported OSes

Linux
Windows

Supported CPU Architecture

x86_64
ppc64le
arm64-sbsa

CUDA APIs involved

• cublas<t>hpr API

Building (make)

Prerequisites

• A Linux/Windows system with recent NVIDIA drivers.
• CMake version 3.18 minimum

Build command on Linux

$ 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.

Build command on Windows

$ mkdir build
$ cd build
$ cmake -DCMAKE_GENERATOR_PLATFORM=x64 ..
$ Open cublas_examples.sln project in Visual Studio and build

Usage

$  ./cublas_hpr_example

Sample example output:

AP
1.10 + 1.20j 2.30 + 2.40j 
3.50 + 3.60j 4.70 + 4.80j 
=====
x
5.10 + 6.20j 7.30 + 8.40j 
=====
AP
65.55 + 0.00j 126.15 + 0.00j 
92.81 + 6.02j 4.70 + 4.80j 
=====