init_vars.sh

#!/bin/bash
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export PM_HOME=`pwd`
export PYTHONPATH=${PM_HOME}:${PYTHONPATH}
export NCU_BIN=/usr/local/cuda/bin/ncu # For PARAM
mkdir -p data
conda activate zhongyi
echo "localhost" > 3rdparty/param/train/comms/pt/hfile.txt

echo 1 | sudo tee /sys/devices/system/cpu/intel_pstate/no_turbo &> /dev/null
for i in {0..39}
do
  echo performance | sudo tee /sys/devices/system/cpu/cpu$i/cpufreq/scaling_governor &> /dev/null
done

./get_gpu_name.sh
export GPU_NAME=`cat /tmp/gpu_name.txt`
mkdir -p analysis/mem_comm_params
mkdir -p analysis/ml_predictors/${GPU_NAME}
mkdir -p data/${GPU_NAME}/e2e
mkdir -p data/${GPU_NAME}/kernel

if [[ $GPU_NAME == "A100" ]];
then
  sudo nvidia-smi -ac 1215,1095
elif [[ $GPU_NAME == "GV100" ]];
then
  sudo nvidia-smi -ac 850,1297
elif [[ $GPU_NAME == "V100" ]];
then
  sudo nvidia-smi -ac 877,1297
elif [[ $GPU_NAME == "P100" ]];
then
  sudo nvidia-smi -ac 715,1189
elif [[ $GPU_NAME == "Xp" ]];
then
  sudo nvidia-smi -ac 5505,1404
fi # Add any new conda env and lock GPU frequency here