48 lines
1.3 KiB
Bash
48 lines
1.3 KiB
Bash
|
#!/usr/bin/env bash
|
||
|
|
|
||
|
|
# This script schedules a SLURM job via crun on computelab to run all CCCL benchmarks and produce a benchmark database
|
||
|
|
# TODO: set those accordingly
|
||
|
|
scratch=/home/scratch."$USER"_sw
|
||
|
|
node_selector="cpu.arch=x86_64 and gpu.product_name='*B200*'"
|
||
|
|
container_image="rapidsai/devcontainers:26.06-cpp-gcc14-cuda13.2"
|
||
|
|
jobtime="4:00:00"
|
||
|
|
benchmark_preset="benchmark"
|
||
|
|
|
||
|
|
batch_script=$scratch/batch.sh
|
||
|
|
cat << BATCH_SCRIPT > "$batch_script"
|
||
|
|
#!/usr/bin/env bash
|
||
|
|
|
||
|
|
pip install --break-system-packages fpzip pandas scipy
|
||
|
|
|
||
|
|
# clone CCCL
|
||
|
|
host=\$(hostname)
|
||
|
|
cd $scratch
|
||
|
|
if [ -d "\$host/cccl" ]; then
|
||
|
|
rm -r \$host/cccl
|
||
|
|
fi
|
||
|
|
mkdir \$host
|
||
|
|
cd \$host
|
||
|
|
git clone --depth 1 git@github.com:NVIDIA/cccl.git
|
||
|
|
cd cccl
|
||
|
|
|
||
|
|
# configure cmake
|
||
|
|
mkdir build_perf
|
||
|
|
cd build_perf
|
||
|
|
cmake .. --preset $benchmark_preset
|
||
|
|
|
||
|
|
# run benchmarks
|
||
|
|
export CUDA_VISIBLE_DEVICES=0
|
||
|
|
export PYTHONPATH=../benchmarks/scripts/
|
||
|
|
../benchmarks/scripts/run.py
|
||
|
|
|
||
|
|
echo "Benchmark done. Results in $scratch/\$host/cccl/build_perf/cccl_meta_bench.db"
|
||
|
|
BATCH_SCRIPT
|
||
|
|
chmod +x "$batch_script"
|
||
|
|
|
||
|
|
# schedule SLURM job
|
||
|
|
echo "Scheduling script $batch_script"
|
||
|
|
echo "#################################################################################"
|
||
|
|
cat "$batch_script"
|
||
|
|
echo "#################################################################################"
|
||
|
|
crun -q "$node_selector" -ex -t "$jobtime" -img "$container_image" -b "$batch_script"
|