Newer
Older
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
=======
README
=======
# 1. Code sample name
cufft
# 2. Description of the code sample package
This example demonstrates the use of NVIDIA's fast Fourier transform library for CUDA: cuFFT. The example is set-up to perform an in-place forward transform followed by an in-place inverse transform such that the output signal should be equal to the input signal. The example uses pre-processor defines to select the FFT-size and the number of batches. The FFTs performed are 1D and single-precision complex-to-complex.
Additional pre-requisites:
* CUDA (includes the cuFFT library)
See http://docs.nvidia.com/cuda/cufft for the full cuFFT documentation.
# 3. Release date
22 July 2015
# 4. Version history
1.0
# 5. Contributor (s) / Maintainer(s)
Cedric Nugteren <cedric.nugteren@surfsara.nl>
# 6. Copyright / License of the code sample
Apache 2.0
# 7. Language(s)
C++
CUDA
# 8. Parallelisation Implementation(s)
GPU
# 9. Level of the code sample complexity
Basic level, uses library calls only
# 10. Instructions on how to compile the code
Uses the CodeVault CMake infrastructure, see main README.md
# 11. Instructions on how to run the code
No command-line arguments, simply run the executable
# 12. Sample input(s)
Input-data is generated automatically when running the program.
# 13. Sample output(s)
Output data is verified programmatically after doing a forward and reverse FFT