Maximal Independent Set (mis) is a graph analytics application that is part of the Pannotia benchmark suite. It is designed to find a maximal subset of vertices in a graph such that no two are adjacent. The provided version is for use with the gpu-compute model of gem5. Thus, it has been ported from the prior CUDA and OpenCL variants to HIP, and validated on a Vega-class AMD GPU.

Compiling MIS, compiling the GCN3_X86/Vega_X86 versions of gem5, and running MIS on gem5 is dependent on the gcn-gpu docker image, util/dockerfiles/gcn-gpu/Dockerfile on the gem5 stable branch.

Compilation and Running

To compile MIS:

cd src/gpu/pannotia/mis
docker run --rm -v ${PWD}:${PWD} -w ${PWD} -u $UID:$GID gcr.io/gem5-test/gcn-gpu make gem5-fusion

If you use the Makefile.default file instead, the Makefile will generate code designed to run on the real GPU instead. Moreover, note that Makefile.gem5-fusion requires you to set the GEM5_ROOT variable (either on the command line or by modifying the Makefile), because the Pannotia applications have been updated to use m5ops. By default, the Makefile builds for gfx801 and gfx803, and is placed in the src/gpu/pannotia/mis/bin folder.

Compiling GCN3_X86/gem5.opt

MIS is a GPU application, which requires that gem5 is built with the GCN3_X86 (or Vega_X86, although this has been less heavily tested) architecture. The test is run with the GCN3_X86 gem5 variant, compiled using the gcn-gpu docker image:

git clone https://gem5.googlesource.com/public/gem5
cd gem5
docker run -u $UID:$GID --volume $(pwd):$(pwd) -w $(pwd) gcr.io/gem5-test/gcn-gpu:latest scons build/GCN3_X86/gem5.opt -j <num cores>

Running MIS on GCN3_X86/gem5.opt

Assuming gem5 and gem5-resources are in your working directory

wget http://dist.gem5.org/dist/develop/datasets/pannotia/bc/1k_128k.gr
docker run --rm -v ${PWD}:${PWD} -w ${PWD} -u $UID:$GID gcr.io/gem5-test/gcn-gpu gem5/build/GCN3_X86/gem5.opt gem5/configs/example/apu_se.py -n3 --mem-size=8GB --benchmark-root=gem5-resources/src/gpu/pannotia/mis/bin -c mis.gem5 --options="1k_128k.gr 0"

Note that the datasets from the original Pannotia suite have been uploaded to: http://dist.gem5.org/dist/develop/datasets/pannotia. We recommend you start with the 1k_128k.gr input (http://dist.gem5.org/dist/develop/datasets/pannotia/mis/1k_128k.gr), as this is the smallest input that can be run with MIS. Note that 1k_128k is not designed for MIS specifically though – the above link has larger graphs designed to run with MIS that you should consider using for larger experiments.

Pre-built binary

A pre-built binary will be added soon.