https://github.com/rsnemmen/OpenCL-examples

Simple OpenCL examples for exploiting GPU computing
https://github.com/rsnemmen/OpenCL-examples

c examples gpu gpu-computing numerical-calculations opencl opencl-device

Last synced: 3 months ago
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Simple OpenCL examples for exploiting GPU computing

• Host: GitHub
• URL: https://github.com/rsnemmen/OpenCL-examples
• Owner: rsnemmen
• Created: 2017-06-12T23:48:17.000Z (over 7 years ago)
• Default Branch: master
• Last Pushed: 2024-08-01T00:20:05.000Z (6 months ago)
• Last Synced: 2024-08-05T08:07:50.815Z (6 months ago)
• Topics: c, examples, gpu, gpu-computing, numerical-calculations, opencl, opencl-device
• Language: Objective-C++
• Size: 3.46 MB
• Stars: 190
• Watchers: 8
• Forks: 70
• Open Issues: 1
• Metadata Files:
  • Readme: README.md

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README

        
Simple examples of OpenCL code

===============================

Simple examples of OpenCL code, which I am using to learn heterogeneous and GPU computing with OpenCL. 

## Examples included

- `add_numbers`: add a list of numbers together. Includes detailed error handling which makes the code harder to read and understand

- `square_array`: computes *array*^2 (I am playing mostly with this one)

- `sum_array`: sums two arrays

- `cf4cl`: testing OpenCL C wrapper

- `Hello_World`: OpenCL "Hello World" by Apple

- `mandelbrot`: my attempt at a simple Mandelbrot set calculation

- `N-BodySimulation`: Apple's N-body simulator which clearly illustrates the speedup gained by using the GPU. Requires Xcode

- `RayTraced_Quaternion_Julia-Set_Example`: Apple

- `rng`: Illustrates how to generate random numbers in the host and in the GPU using the library [`clRNG`](http://clmathlibraries.github.io/clRNG/htmldocs/index.html)

- `auger`: generates random cosmic rays on an isotropic sky

The examples that clearly demonstrate the computational advantage of using a GPU for processing are `N-BodySimulation`, `RayTraced_Quaternion_Julia-Set_Example` (both developed by Apple programmers) and `auger`. For `auger`, I got impressive speedups of >200x compared to a serial code on the CPU.

## Info about OpenCL devices

To learn about your OpenCL devices, try:

    clinfo

To install `clinfo` on MacOS:

    brew install homebrew/science/clinfo

## References

### Slides

- [OpenCL introduction](https://www.eecis.udel.edu/~cavazos/cisc879/Lecture-06.pdf), S. Grauer-Gray

- [OpenCL introduction](http://smai.emath.fr/cemracs/cemracs16/images/FDesprez.pdf), F. Desprez

### Code walkthroughs 

- [Vector addition in OpenCL](https://www.olcf.ornl.gov/tutorials/opencl-vector-addition/) (Oak Ridge National Lab)

- [Getting started with OpenCL and GPU computing](https://www.eriksmistad.no/getting-started-with-opencl-and-gpu-computing/), by E. Smistad

- [A gentle introduction to OpenCL](http://www.drdobbs.com/parallel/a-gentle-introduction-to-opencl/231002854), Dr. Dobbs. Includes interesting analogies, but may be too hard as a first read

### Courses

- Hands-on OpenCL

- AMD OpenCL course

- Introduction to OpenCL, Manchester

## Like it?

If you are really happy with these examples, you can:  

[![Buy Me a Coffee](https://img.buymeacoffee.com/button-api/?text=Buy%20me%20a%20coffee&emoji=&slug=nemmen&button_colour=FFDD00&font_colour=000000&font_family=Cookie&outline_colour=000000&coffee_colour=ffffff)](https://www.buymeacoffee.com/nemmen)

## TODO

- [ ] similar repo with CUDA examples