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Add SST integration into gpgpusim #47

Add SST integration into gpgpusim

Add SST integration into gpgpusim #47

Workflow file for this run

# 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 }}*"