The LonestarGPU (LSG) suite contains CUDA implementations of several irregular algorithms that exhibit amorphous data parallelism.

You can checkout the latest release by typing (in a terminal):

git clone -b release-3.0 https://github.com/IntelligentSoftwareSystems/GaloisGPU

The master branch will be regularly updated, so you may try out the latest development code as well, by checking out the master branch:

git clone https://github.com/IntelligentSoftwareSystems/GaloisGPU

• CUB (v1.3.1 or later)

https://github.com/NVlabs/cub

• ModernGPU (v1.1 or later)

https://github.com/NVlabs/moderngpu/releases

You will need to download CUB and Mgpu in the root source directory. Assuming LSGDIR contains the LonestarGPU source (i.e., this repository):

cd $LSGDIR
ln -s path-to-cub-x.y/ cub
ln -s path-to-mgpu-x.y/ mgpu

To compile for a specific GPU architecture, make changes to the arch.mk file in the top directory.

cd $LSGDIR
make inputs # downloads the inputs required for LSG
make # compiles all applications

cd $LSGDIR
make
./test /path/to/graph/file

cd $LSGDIR
cd apps/bfs
./test /path/to/NY.gr -o output-NY

Further documentation is available at http://iss.ices.utexas.edu/?p=projects/galois/lonestargpu

For bugs, please raise an issue here at gihub using the 'Issues' tab https://github.com/IntelligentSoftwareSystems/GaloisGPU/issues. Please send questions and comments to Galois users mailing list: galois-users@utlists.utexas.edu. You may subscribe at https://utlists.utexas.edu/sympa/subscribe/galois-users.