| ## 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 |
