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name: 'Benchmark' | ||
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on: | ||
push: | ||
paths: | ||
- '**.f90' | ||
- '**.fpp' | ||
- '**.py' | ||
- '**.yml' | ||
- 'mfc.sh' | ||
- 'CMakeLists.txt' | ||
- 'requirements.txt' | ||
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pull_request: | ||
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workflow_dispatch: | ||
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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 | ||
uses: actions/checkout@v4 | ||
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- name: Bench | ||
run: bash .github/workflows/phoenix/submit.sh .github/workflows/phoenix/bench.sh ${{ matrix.device }} | ||
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- name: Print | ||
if: always() | ||
run: cat bench-${{ matrix.device }}.out |
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#!/bin/bash | ||
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./mfc.sh bench "$job_slug.yaml" -j $(nproc) -b mpirun |
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#!/bin/bash | ||
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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=12 # 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'`-$2" | ||
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cat <<EOT | ||
#!/bin/bash | ||
#SBATCH -Jshb-$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 -x | ||
cd "\$SLURM_SUBMIT_DIR" | ||
echo "Running in $(pwd):" | ||
job_slug="$job_slug" | ||
job_device="$2" | ||
. ./mfc.sh load -c p -m $2 | ||
$sbatch_script_contents | ||
EOT |
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#!/bin/bash | ||
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if [ "$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="--gpu -g $gpu_ids" | ||
fi | ||
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./mfc.sh test -a -b mpirun -j $(nproc) $device_opts |
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- name: 1D_bubblescreen | ||
path: examples/1D_bubblescreen/case.py | ||
args: [] | ||
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- name: 1D_kapilashocktube | ||
path: examples/1D_kapilashocktube/case.py | ||
args: [] |
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import os, json, time, typing, datetime, subprocess | ||
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import rich.table | ||
import sys, time, subprocess, dataclasses | ||
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from .printer import cons | ||
from .state import ARG | ||
from .state import ARG, CFG | ||
from .build import PRE_PROCESS, SIMULATION, build_targets | ||
from .common import system, MFC_SUBDIR | ||
from .common import system, MFC_BENCH_FILEPATH, file_load_yaml, file_dump_yaml | ||
from . import sched | ||
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@dataclasses.dataclass | ||
class BenchCase: | ||
name: str | ||
path: str | ||
args: list[str] | ||
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def bench(): | ||
build_targets([PRE_PROCESS, SIMULATION]) | ||
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cons.print() | ||
cons.print("[bold]Benchmarking [magenta]simulation[/magenta]:[/bold]") | ||
cons.indent() | ||
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CASES = ["1D_bubblescreen", "1D_exercise_WENO", "1D_kapilashocktube"] | ||
RESULTS = [] | ||
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table = rich.table.Table(show_lines=False, show_edge=False) | ||
table.add_column("Case") | ||
table.add_column("(Simulation) Runtime (s)") | ||
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def __worker(case: str, devices: typing.Set[int]): | ||
nonlocal RESULTS | ||
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system(["./mfc.sh", "run", f"examples/{case}/case.py", "--no-build", "-t", "pre_process"], stdout=subprocess.DEVNULL) | ||
start = time.monotonic() | ||
system(["./mfc.sh", "run", f"examples/{case}/case.py", "--no-build", "-t", "simulation"], stdout=subprocess.DEVNULL) | ||
end = time.monotonic() | ||
runtime = datetime.timedelta(seconds=end - start).total_seconds() | ||
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RESULTS.append({ | ||
"name": f"Simulation: {case}", | ||
"unit": "seconds", | ||
"value": runtime | ||
}) | ||
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table.add_row(case, str(runtime)) | ||
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tasks: typing.List[sched.Task] = [ | ||
sched.Task(1, __worker, [ case ], 1) for case in CASES | ||
] | ||
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cons.print() | ||
nThreads = min(ARG('jobs'), len(ARG('gpus'))) if ARG("gpu") else ARG('jobs') | ||
if ARG('case_optimization'): | ||
nThreads = 1 | ||
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sched.sched(tasks, nThreads, ARG("gpus")) | ||
cons.print() | ||
cons.unindent() | ||
cons.print("[bold]Benchmark Results:[/bold]") | ||
cons.print() | ||
cons.raw.print(table) | ||
cons.print() | ||
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filepath = os.path.join(MFC_SUBDIR, "bench.json") | ||
with open(filepath, "w") as f: | ||
json.dump(RESULTS, f) | ||
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cons.print(f"[bold green]✓[/bold green] Saved results to [magenta]{filepath}[/magenta].") | ||
CASES = [ BenchCase(**case) for case in file_load_yaml(MFC_BENCH_FILEPATH) ] | ||
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for case in CASES: | ||
case.args = case.args + ARG("forwarded") | ||
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cons.print(f"Found [magenta]{len(CASES)}[/magenta] cases.") | ||
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results = { | ||
"metadata": { | ||
"invocation": sys.argv[1:], | ||
"lock": dataclasses.asdict(CFG()) | ||
}, | ||
"cases": [], | ||
} | ||
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for i, case in enumerate(CASES): | ||
cons.print(f"{str(i+1).zfill(len(CASES) // 10 + 1)}/{len(CASES)}: {case.name} @ [bold]{case.path}[/bold]") | ||
system(["./mfc.sh", "build", "--targets", "pre_process", "simulation", "--case-optimization", "--input", case.path], stdout=subprocess.DEVNULL) | ||
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case_results = dataclasses.asdict(case) | ||
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for target in [PRE_PROCESS, SIMULATION]: | ||
start = time.time() | ||
system(["./mfc.sh", "run", case.path, "--targets", target.name, "--case-optimization", *case.args], stdout=subprocess.DEVNULL) | ||
case_results[target.name] = time.time() - start | ||
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results["cases"].append(case_results) | ||
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file_dump_yaml(ARG("output"), results) | ||
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cons.unindent() |
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