Add SST integration into gpgpusim #47
Workflow file for this run
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# Workflow with cmake build system | |
name: SST Integration Test | |
# Controls when the workflow will run | |
on: | |
# Triggers the workflow on push or pull request events but only for the mydev branch | |
push: | |
branches-ignore: | |
- "gh-readonly-queue**" | |
pull_request: | |
# Allows you to run this workflow manually from the Actions tab | |
workflow_dispatch: | |
# A workflow run is made up of one or more jobs that can run sequentially or in parallel | |
jobs: | |
build-QV100: | |
runs-on: ubuntu-latest | |
defaults: | |
run: | |
shell: bash | |
strategy: | |
matrix: | |
# test_type: [simple, medium, long] | |
test_type: [simple, medium] | |
container: | |
image: tgrogers/accel-sim_regress:SST-Integration-Ubuntu-22.04-cuda-11.7-llvm-18.1.8-riscv-gnu-2024.08.06-nightly | |
env: | |
CONFIG: QV100 | |
GPU_ARCH: sm_70 | |
# Steps represent a sequence of tasks that will be executed as part of the job | |
steps: | |
# Checks-out your repository under $GITHUB_WORKSPACE, so your job can access it | |
- uses: actions/checkout@v4 | |
- name: Build GPGPU-Sim in SST mode | |
run: | | |
source ./setup_environment | |
make -j4 | |
- name: Prepare SST dependencies | |
run: | | |
apt install -y openmpi-bin openmpi-common libtool libtool-bin autoconf python3 python3-dev automake build-essential git | |
# Use personal repo for now | |
- name: Build SST-Core | |
run: | | |
git clone https://github.com/William-An/sst-core.git | |
cd sst-core | |
git pull | |
git checkout devel | |
./autogen.sh | |
./configure --prefix=`realpath ../sstcore-install` --disable-mpi --disable-mem-pools | |
make -j4 | |
make install | |
cd .. | |
rm -rf ./sst-core | |
# Use personal repo for now | |
- name: Build SST-Elements | |
run: | | |
git clone https://github.com/William-An/sst-elements.git | |
source ./setup_environment | |
cd sst-elements | |
git pull | |
git checkout balar-mmio-vanadis-llvm | |
./autogen.sh | |
./configure --prefix=`realpath ../sstelements-install` --with-sst-core=`realpath ../sstcore-install` --with-cuda=$CUDA_INSTALL_PATH --with-gpgpusim=$GPGPUSIM_ROOT | |
make -j4 | |
make install | |
# Have to resource the gpu app | |
# Also fake a SDK since rodinia 2.0 does not need this, speed things up on github | |
- name: Balar Test | |
run: | | |
pip install testtools blessings pygments | |
source ./setup_environment | |
mkdir 4.2 | |
mkdir fake_sdk | |
export NVIDIA_COMPUTE_SDK_LOCATION=$(readlink -f ./fake_sdk) | |
source $GPUAPPS_ROOT/src/setup_environment sst | |
rm -rf 4.2 | |
rm -f gpucomputingsdk_4.2.9_linux.run | |
./sstcore-install/bin/sst-test-elements -w "*balar*${{ matrix.test_type }}*" |