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MFlowCode#49: GitHub CI Benchmarking
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name: 'Benchmark' | ||
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on: | ||
pull_request_target: | ||
types: [opened, synchronize, reopened] | ||
paths: | ||
- '**.f90' | ||
- '**.fpp' | ||
- '**.py' | ||
- '**.yml' | ||
- 'mfc.sh' | ||
- 'CMakeLists.txt' | ||
- 'requirements.txt' | ||
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jobs: | ||
self: | ||
name: Georgia Tech | Phoenix (NVHPC) | ||
if: github.repository == 'MFlowCode/MFC' | ||
strategy: | ||
matrix: | ||
device: ['cpu', 'gpu'] | ||
runs-on: | ||
group: phoenix | ||
labels: self-hosted | ||
steps: | ||
- name: Clone - PR | ||
uses: actions/checkout@v3 | ||
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- name: Bench - PR | ||
run: | | ||
bash .github/workflows/phoenix/submit.sh .github/workflows/phoenix/bench.sh ${{ matrix.device }} | ||
mv bench-${{ matrix.device }}.out ~/bench-${{ matrix.device }}-pr.out | ||
mv bench-${{ matrix.device }}.yaml ~/bench-${{ matrix.device }}-pr.yaml | ||
- name: Clone - Master | ||
uses: actions/checkout@v3 | ||
with: | ||
repository: henryleberre/MFC | ||
ref: master | ||
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- name: Bench - Master | ||
run: | | ||
bash .github/workflows/phoenix/submit.sh .github/workflows/phoenix/bench.sh ${{ matrix.device }} | ||
mv bench-${{ matrix.device }}.out ~/bench-${{ matrix.device }}-master.out | ||
mv bench-${{ matrix.device }}.yaml ~/bench-${{ matrix.device }}-master.yaml | ||
- name: Generate Comment | ||
run: | | ||
COMMENT_MSG=`python3 .github/workflows/phoenix/compare.py ~/bench-${{ matrix.device }}-master.yaml ~/bench-${{ matrix.device }}-pr.yaml` | ||
echo "COMMENT_MSG=\"$COMMENT_MSG\"" >> $GITHUB_ENV | ||
- name: Post Comment | ||
uses: thollander/actions-comment-pull-request@v2 | ||
with: | ||
message: ${{ env.COMMENT_MSG }} | ||
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- name: Archive Logs | ||
uses: actions/upload-artifact@v3 | ||
if: always() | ||
with: | ||
name: logs-${{ matrix.device }} | ||
path: | | ||
~/bench-${{ matrix.device }}-* |
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#!/bin/bash | ||
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n_ranks=12 | ||
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if [ "$job_device" == "gpu" ]; then | ||
n_ranks=$(nvidia-smi -L | wc -l) # number of GPUs on node | ||
gpu_ids=$(seq -s ' ' 0 $(($n_ranks-1))) # 0,1,2,...,gpu_count-1 | ||
device_opts="--gpu -g $gpu_ids" | ||
fi | ||
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./mfc.sh bench "$job_slug.yaml" -j $(nproc) -b mpirun $device_opts -n $n_ranks |
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#!/usr/bin/env python3 | ||
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import argparse | ||
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import yaml | ||
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parser = argparse.ArgumentParser() | ||
parser.add_argument('master', metavar="MASTER", type=str) | ||
parser.add_argument('pr', metavar="PR", type=str) | ||
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args = parser.parse_args() | ||
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def load_cases(filepath): | ||
return { case["name"]: case for case in yaml.safe_load(open(filepath))["cases"] } | ||
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master, pr = load_cases(args.master), load_cases(args.pr) | ||
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master_keys = set(master.keys()) | ||
pr_keys = set(pr.keys()) | ||
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missing_cases = master_keys.symmetric_difference(pr_keys) | ||
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if len(missing_cases) > 0: | ||
print("**Warning:** The following cases are **missing** from master or this PR:\n") | ||
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for case in missing_cases: | ||
print(f" - {case}.") | ||
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print("") | ||
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speedups = {} | ||
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for case in master_keys.intersection(pr_keys): | ||
speedups[case] = { | ||
"pre_proess": pr[case]["pre_process"] / master[case]["pre_process"], | ||
"simulation": pr[case]["simulation"] / master[case]["simulation"], | ||
} | ||
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avg_speedup = sum([ speedups[case]["simulation"] for case in speedups ]) / len(speedups) | ||
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print(f"""\ | ||
**[Benchmark Results]** Compared to Master, this PR's `simulation` is on average **~{avg_speedup:0.2f}x faster**. | ||
| **Case** | **Master** | **PR** | **Speedup** | | ||
| -------- | ---------- | ------ | ----------- |\ | ||
""") | ||
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for case in sorted(speedups.keys()): | ||
speedup = speedups[case] | ||
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print(f"| {case} | {master[case]['simulation']:0.2f}s | {pr[case]['simulation']:0.2f}s | {speedups[case]['simulation']:0.2f}x |") |
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#!/bin/bash | ||
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set -e | ||
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usage() { | ||
echo "Usage: $0 [script.sh] [cpu|gpu]" | ||
} | ||
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if [ ! -z "$1" ]; then | ||
sbatch_script_contents=`cat $1` | ||
else | ||
usage | ||
exit 1 | ||
fi | ||
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sbatch_cpu_opts="\ | ||
#SBATCH --ntasks-per-node=24 # Number of cores per node required | ||
#SBATCH --mem-per-cpu=2G # Memory per core\ | ||
" | ||
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sbatch_gpu_opts="\ | ||
#SBATCH -CV100-16GB | ||
#SBATCH -G2\ | ||
" | ||
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if [ "$2" == "cpu" ]; then | ||
sbatch_device_opts="$sbatch_cpu_opts" | ||
elif [ "$2" == "gpu" ]; then | ||
sbatch_device_opts="$sbatch_gpu_opts" | ||
else | ||
usage | ||
exit 1 | ||
fi | ||
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job_slug="`basename "$1" | sed 's/\.sh$//' | sed 's/[^a-zA-Z0-9]/-/g'`-$2" | ||
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sbatch <<EOT | ||
#!/bin/bash | ||
#SBATCH -Jshb-$job_slug # Job name | ||
#SBATCH --account=gts-sbryngelson3 # charge account | ||
#SBATCH -N1 # Number of nodes required | ||
$sbatch_device_opts | ||
#SBATCH -t 04:00:00 # Duration of the job (Ex: 15 mins) | ||
#SBATCH -q embers # QOS Name | ||
#SBATCH -o$job_slug.out # Combined output and error messages file | ||
#SBATCH -W # Do not exit until the submitted job terminates. | ||
set -e | ||
set -x | ||
cd "\$SLURM_SUBMIT_DIR" | ||
echo "Running in $(pwd):" | ||
job_slug="$job_slug" | ||
job_device="$2" | ||
. ./mfc.sh load -c p -m $2 | ||
$sbatch_script_contents | ||
EOT |
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#!/bin/bash | ||
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build_opts="" | ||
if [ "$job_device" == "gpu" ]; then | ||
build_opts="--gpu" | ||
fi | ||
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./mfc.sh build -j $(nproc) $build_opts | ||
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n_test_threads=$(nproc) | ||
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if [ "$job_device" == "gpu" ]; then | ||
gpu_count=$(nvidia-smi -L | wc -l) # number of GPUs on node | ||
gpu_ids=$(seq -s ' ' 0 $(($gpu_count-1))) # 0,1,2,...,gpu_count-1 | ||
device_opts="-g $gpu_ids" | ||
n_test_threads=`expr $gpu_count \* 2` | ||
fi | ||
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./mfc.sh test -a -b mpirun -j $n_test_threads $device_opts |
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- name: 1D_bubblescreen | ||
path: examples/1D_bubblescreen/case.py | ||
args: [] |
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