https://github.com/pkestene/mandelbrot_kokkos_cmake
A simple example application using cmake build system, and kokkos as a third party
https://github.com/pkestene/mandelbrot_kokkos_cmake
cpp gpu kokkos mandelbrot miniapp performance
Last synced: 6 months ago
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A simple example application using cmake build system, and kokkos as a third party
- Host: GitHub
- URL: https://github.com/pkestene/mandelbrot_kokkos_cmake
- Owner: pkestene
- Created: 2017-02-10T18:29:18.000Z (over 8 years ago)
- Default Branch: master
- Last Pushed: 2023-06-11T09:50:14.000Z (over 2 years ago)
- Last Synced: 2025-02-10T22:33:47.068Z (8 months ago)
- Topics: cpp, gpu, kokkos, mandelbrot, miniapp, performance
- Language: CMake
- Homepage:
- Size: 35.2 KB
- Stars: 2
- Watchers: 2
- Forks: 1
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# Mandelbrot_kokkos_cmake
This is a simple example to illustrate one possible way to use
[Kokkos](https://github.com/kokkos/kokkos) inside an application
built with [CMake](https://cmake.org/)
## Download / clone sources
Please note that, in this application, kokkos library is required.
- if kokkos is already available, you just need to set `CMAKE_PREFIX_PATH` to point to its installation path
- if kokkos is not availalble on your system, you can build by using cmake flag `-DMANDELBROT_KOKKOS_BUILD=ON`
In order to download `mandelbrot_kokkos_cmake` sources, use the following lines
```bash
git clone git@github.com:pkestene/mandelbrot_kokkos_cmake.git
```
## How to build ?
### Build with target device OpenMP
```bash
mkdir -p _build/openmp; cd _build/openmp
cmake -DMANDELBROT_KOKKOS_BUILD=ON -DMANDELBROT_KOKKOS_BACKEND=OpenMP ../..
make
# then you can run the application
./src/mandelbrot_kokkos_openmp
```
Optionnally you can enable HWLOC by passing `-DKokkos_ENABLE_HWLOC=ON` on cmake's command line (or in ccmake curse gui).
### Build with target device CUDA
Of course you NEED to have `nvcc` compiler available on your system. Just a few notices:
- if you do not have already kokkos library available, it be compiled for your.
- if you're compiling on a platform equipped with an Nvidia GPU, the GPU architecture version will be detected by kokkos cmake build system.
- if you don't have a GPU, you can still build the code (but not run); you can specify the target architecture using flag `-DKokkos_ARCH`.
```bash
mkdir _build/cuda; cd _build/cuda
cmake -DMANDELBROT_KOKKOS_BUILD=ON -DMANDELBROT_KOKKOS_BACKEND=Cuda -DKokkos_ENABLE_CUDA_LAMBDA=ON -DKokkos_ENABLE_HWLOC=ON ../..
make
# then you can run the application as before
./src/mandelbrot_kokkos_cuda
```