Files
gem5/util/dockerfiles/gcn-gpu
Matthew Poremba 56a549080f util: Update python version for GCN3
The Python version installed in the Dockerfile for GCN3 by apt-get is
too old to build gem5. This bumps the version to the most recent Python
to avoid needing to update this file too much.

Python 3.9 is install via PPA since it is not available in the official
Ubuntu 16.04 repository. Likewise, pip is installed from "source" as it
is not available for Python 3.9 in from neither the PPA nor Ubuntu.

Change-Id: Ia919f31cf9c9063e1df091cea15590526715739b
Reviewed-on: https://gem5-review.googlesource.com/c/public/gem5/+/37219
Reviewed-by: Matt Sinclair <mattdsinclair@gmail.com>
Reviewed-by: Daniel Gerzhoy <daniel.gerzhoy@gmail.com>
Maintainer: Matt Sinclair <mattdsinclair@gmail.com>
Tested-by: kokoro <noreply+kokoro@google.com>
2020-11-09 16:45:33 +00:00
..

gcn3-gpu dockerfile

This dockerfile contains all the dependences necessary to run GPU applications in gem5 using the gcn3 APU model

Building the image

docker build -t <image_name> .

Building gem5 using the image

The following command assumes the gem5 directory is a subdirectory of your current directory

docker run --rm -v $PWD/gem5:/gem5 -w /gem5 <image_name> scons -sQ -j$(nproc) build/GCN3_X86/gem5.opt

Test gem5 using a prebuilt application

wget http://dist.gem5.org/dist/current/test-progs/hip_sample_bins/MatrixTranspose
docker run --rm -v $PWD/MatrixTranspose:/MatrixTranspose -v $PWD/public_gem5:/gem5 -w /gem5 \
        <image_name> build/GCN3_X86/gem5.opt configs/example/apu_se.py -n2 --benchmark-root=/ -cMatrixTranspose

Notes

  • When using the -v flag, the path to the input file/directory needs to be the absolute path; symlinks don't work
  • Currently linking in an AFS volume is not supported, as it uses ACLs instead of owner/group IDs

ToDo

  • Add square to gem5-resources github, add directions for building and running an application