28 lines
1.1 KiB
Markdown
28 lines
1.1 KiB
Markdown
## gcn-gpu dockerfile
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This dockerfile contains all the dependences necessary to run GPU applications in gem5 using the gcn5 (Vega) APU model
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### Building the image
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```
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docker build -t <image_name> .
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```
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### Building gem5 using the image
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The following command assumes the gem5 directory is a subdirectory of your current directory
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```
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docker run --rm -v $PWD/gem5:/gem5 -w /gem5 <image_name> scons -sQ -j$(nproc) build/VEGA_X86/gem5.opt
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```
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### Test gem5 using a prebuilt application
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```
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wget http://dist.gem5.org/dist/current/test-progs/hip_sample_bins/MatrixTranspose
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docker run --rm -v $PWD/MatrixTranspose:/MatrixTranspose -v $PWD/public_gem5:/gem5 -w /gem5 \
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<image_name> build/VEGA_X86/gem5.opt configs/example/apu_se.py -n2 --benchmark-root=/ -cMatrixTranspose
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```
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### Notes
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* When using the `-v` flag, the path to the input file/directory needs to be the absolute path; symlinks don't work
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* Currently linking in an AFS volume is not supported, as it uses ACLs instead of owner/group IDs
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### ToDo
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* Add square to gem5-resources github, add directions for building and running an application
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