title: Pannotia PageRank Test tags: - x86 - amdgpu layout: default permalink: resources/pannotia/pagerank shortdoc: > Resources to build a disk image with the GCN3 Pannotia PageRank workload.

PageRank (PR) is a graph analytics application that is part of the Pannotia benchmark suite. It is an algorithm designed to calculate probability distributions representing the likelihood that a person randomly clicking on links arrives at any particular page. 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 both PageRank variants, compiling the GCN3_X86/Vega_X86 versions of gem5, and running both PageRank variants on gem5 is dependent on the gcn-gpu docker image, util/dockerfiles/gcn-gpu/Dockerfile on the gem5 stable branch.

Compilation and Running

PR has two variants: default and spmv. To compile the “default” variant:

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

To compile the “spmv” variant:

cd src/gpu/pannotia/pagerank
docker run --rm -v ${PWD}:${PWD} -w ${PWD} -u $UID:$GID gcr.io/gem5-test/gcn-gpu bash -c "export VARIANT=SPMV ; 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, for both variants the Makefile builds for gfx801 and gfx803, and the binaries are placed in the src/gpu/pannotia/pagerank/bin folder. Moreover, by default the VARIANT variable PageRank's Makefile assumes the csr variant is being used, hence why this variable does not need to be set for compiling it.

Compiling GCN3_X86/gem5.opt

PageRank 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 PageRank on GCN3_X86/gem5.opt

The following command shows how to run the PageRank default version:

Assuming gem5 and gem5-resources are in your working directory

wget http://dist.gem5.org/dist/develop/datasets/pannotia/pagerank/coAuthorsDBLP.graph
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/pagerank/bin -c pagerank.gem5 --options="coAuthorsDBLP.graph 1"

To run the PageRank spmv version:

Assuming gem5, pannotia (input graphs, see below), and gem5-resources are in your working directory

wget http://dist.gem5.org/dist/develop/datasets/pannotia/pagerank/coAuthorsDBLP.graph
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/pagerank/bin -c pagerank_spmv.gem5 --options="coAuthorsDBLP.graph 1"

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 coAuthorsDBLP input for PR.

Pre-built binary

A pre-built binary will be added soon.