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- update Example05 to use FFTW to check the answer

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- update clFFT installation instructions
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Dakota St. Laurent
2015-08-12 16:34:10 -04:00
parent 3af7ec6c3b
commit bff9fd6443
5 changed files with 70 additions and 31 deletions
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README.md
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@@ -22,8 +22,8 @@ gcc main.c -o main.out -lOpenCL
For examples 04 and 05, you can run
```bash
make ex04
make ex05
make ex04 # executable is ./example04/bin/Example
make ex05 # executable is ./example05/bin/Example
make # makes both!
```
@@ -54,10 +54,17 @@ Demonstrates that one array can be modified several times without having to re-r
A simple example using the `cl_khr_fp64` extension which allows for usage of doubles instead of floats.
## example 04
An example of the CLFFT library for an in-place complex-planar transform. There is also Python code to check the answer, which requires numpy / scipy. The C code requires the CLFFT library to be installed in the root of the repository. See more details in the folder's readme.
An example of the CLFFT library for an in-place complex-planar transform. There is also Python code to check the answer; FFTW code will be added later, probably.
- clFFT is required; installation instructions can be found inside example04/README.md
- for Python, numpy and scipy are required
## example 05
Another CLFFT example where an in-place real transform is performed. There's also Python code for checking the answer, which requires numpy / scipy. The C code requires the CLFFT library to be installed in the root of the repository. For instructions on doing this, check out the readme of example04.
Another CLFFT example where an in-place real transform is performed. There's also FFTW code and Python code for checking the answer.
- clFFT is required; installation instructions can be found inside example04/README.md
- FFTW is required; installation is as simple as extracting FFTW's tar file, then running `./configure && sudo make && sudo make install`
- for Python, numpy and scipy are required
## Some Notes
From the [guide on programming OpenCL for NVIDIA](http://www.nvidia.com/content/cudazone/download/OpenCL/NVIDIA_OpenCL_ProgrammingGuide.pdf):