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LonestarGPU Benchmark Suite v3

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

INSTALLATION

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

git clone -b release-4.0 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

Software pre-requisites

  • CUB (v1.3.1)

https://github.com/NVlabs/cub

  • ModernGPU (v1.1)

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

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

cd $LSGDIR/rt/include
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.

BUILDING

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

You can also recompile individual applciation ($APP) by entering $LSGDIR/apps/$APP directory. However, this can be done only after first make was performed in the $LSGDIR.

Running

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

Example:

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

Documentation

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

Contact Us

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: [email protected]. You may subscribe at https://utlists.utexas.edu/sympa/subscribe/galois-users.