2ff57b09d8
This removes the gfx803 and gfx801 targets for building applications as GCN3 will be removed from gem5. It also removes the copy/paste bug from the HACC docker which is clobbering the HCC targets and removing gfx902. Change-Id: I9a0d7fda437e797baf0f743a0a450948b9260b07 Co-authored-by: Harshil Patel <hpppatel@ucdavis.edu>
gcn-gpu dockerfile
This dockerfile contains all the dependences necessary to run GPU applications in gem5 using the gcn5 (Vega) 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/VEGA_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/VEGA_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