31 lines
1.4 KiB
Markdown
31 lines
1.4 KiB
Markdown
# OpenCL basic examples
|
|
here is my feeble attempt at learning OpenCL, please don't make fun of me too much :hamburger:
|
|
|
|
## Configuration
|
|
This currently runs on OS X, and I'm using local header files instead of global header files because I'm unfamiliar with C++. Deal with it. Run the following in a terminal to set up:
|
|
|
|
```
|
|
git clone git@github.com:SaintDako/OpenCL-examples.git
|
|
mkdir CL
|
|
curl https://www.khronos.org/registry/cl/api/1.2/cl.hpp -o CL/cl.hpp
|
|
```
|
|
|
|
## example 00
|
|
this example is based off of [this example](simpleopencl.blogspot.ca/2013/06/tutorial-simple-start-with-opencl-and-c.html) (example-ception), but it goes a bit further. In the blogspot example, two 10-element vectors are created and a thread is used for each pair of elements. In this example, 10 threads are spawned but two 100-element vectors are used, and it is shown how to split up a specific number of elements per thread.
|
|
|
|
## example 01
|
|
See the README in the folder.
|
|
|
|
## TODO
|
|
|
|
- figure out how OpenCL manages memory (when are buffers cleared on the GPU?)
|
|
- figure out how to view the OpenCL assembly code if possible (is warp divergence happening?)
|
|
|
|
## Some Notes
|
|
From the [guide on programming OpenCL for NVIDIA](http://www.nvidia.com/content/cudazone/download/OpenCL/NVIDIA_OpenCL_ProgrammingGuide.pdf):
|
|
|
|
- **CUDA streaming multiprocessor** corresponds to an OpenCL compute unit
|
|
- **CUDA thread** corresponds to an OpenCL work-item
|
|
- **CUDA thread block** corresponds to an OpenCL work-group
|
|
|