2ff2a22b55
In the gcn-gpu image, rocBLAS wasn't able to be installed. This was due to us not installing rocm-cmake, as rocBLAS is dependent on it and will download the most recent version of rocm-cmake if it isn't installed. The most recent version of rocm-cmake wasn't compatible with the version of ROCm we're using. This patch installs rocm-cmake before building and installing rocBLAS instead of after. Change-Id: Iaaa34d5e0d6594fddd0d1a7d147f43405163ca89 Reviewed-on: https://gem5-review.googlesource.com/c/public/gem5/+/50847 Reviewed-by: Matt Sinclair <mattdsinclair@gmail.com> Reviewed-by: Bobby R. Bruce <bbruce@ucdavis.edu> Maintainer: Matt Sinclair <mattdsinclair@gmail.com> Maintainer: Bobby R. Bruce <bbruce@ucdavis.edu> Tested-by: kokoro <noreply+kokoro@google.com>
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
-vflag, 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