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AMR_mandelbrot

Compute Mandelbrot Set using adaptive mesh refinement technique and C++/kokkos library for multi-architecture execution. This is not intended to be efficient computation, but just a simple illustrative example of use of class Kokkos::UnorderedMap container (multi-architecture hash map data container). Mandelbrot set is computed iteratively, refined cells are inserted into the hashmap based data structure.

The following source code is self-contained; C++/kokkos library sources are included as a git submodule.

Example of Mandelbrot set with level_min=6 and level_max=11

./compute_mandelbrot_amr 6 11

mandelbrot set

How to build ?

Get the sources

git clone [email protected]:pkestene/AMR_mandelbrot.git

How to build ?

Build for Kokkos/OpenMP target device

To build kokkos/OpenMP backend

mkdir -p _build/openmp; cd _build/openmp
cmake -DAMR_MANDELBROT_KOKKOS_BUILD=ON -DAMR_MANDELBROT_KOKKOS_BACKEND=OpenMP ../..
make
# run application
./compute_mandelbrot_amr 6 11

Optionally, you can (recommended) activate HWLOC support by using the flag -DKOKKOS_ENABLE_HWLOC=ON.

Build for Kokkos/Cuda target device

Obviously, you need to have Nvidia/CUDA driver and toolkit installed on your platform. Then you need to

# example build for cuda
mkdir -p _build/cuda; cd _build/cuda
cmake -DAMR_MANDELBROT_KOKKOS_BUILD=ON -DAMR_MANDELBROT_KOKKOS_BACKEND=Cuda -DKokkos_ENABLE_CUDA_LAMBDA=ON -DKokkos_ENABLE_HWLOC=ON ../..
make
# run application
./compute_mandelbrot_amr 6 11