2d_c2r

cuFFT 2D FFT C2R example

Description

In this example a two-dimensional complex-to-real transform is applied to the input data arranged according to the requirements of the default FFTW padding mode.

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

• cufftExecC2R 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.

Usage 1

$  ./bin/2d_c2r_example

Sample example output (batch_size=1):

Input array:
0.000000 + 0.000000j
1.000000 + -1.000000j
2.000000 + -2.000000j
3.000000 + -3.000000j
=====
Output array:
6.000000
-2.000000
-4.000000
0.000000
=====

Sample example output (batch_size=2):

Input array:
0.000000 + 0.000000j
1.000000 + -1.000000j
2.000000 + -2.000000j
3.000000 + -3.000000j
4.000000 + -4.000000j
5.000000 + -5.000000j
6.000000 + -6.000000j
7.000000 + -7.000000j
=====
Output array:
6.000000
-2.000000
-4.000000
0.000000
22.000000
-2.000000
-4.000000
0.000000
=====