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---
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](https://gem5.googlesource.com/public/gem5/+/refs/heads/stable).
## 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](https://www.gem5.org/documentation/general_docs/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.