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time-lazy-nozzle.sh
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time-lazy-nozzle.sh
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#!/bin/bash
set -e
set -x
set -o pipefail
date
exename="nozzle"
timestamp=$(date "+%Y.%m.%d-%H.%M.%S")
TIMING_HOME=$(pwd)
TIMING_HOST=$(hostname)
TIMING_DATE=$(date "+%Y-%m-%d %H:%M")
TIME_SINCE_EPOCH=$(date +%s)
TIMING_PLATFORM=$(uname)
TIMING_ARCH=$(uname -m)
TIMING_REPO="illinois-ceesd/timing.git"
TIMING_BRANCH="main"
TIMING_ENV_NAME="timing.main"
MIRGE_BRANCH="main"
DRIVER_REPO="illinois-ceesd/drivers_y1-nozzle"
DRIVER_BRANCH="main"
DRIVER_NAME="y1-production-nozzle-lazy"
SUMMARY_FILE_ROOT="${exename}_lazy"
YAML_FILE_NAME="${exename}-lazy-timings.yaml"
BATCH_OUTPUT_FILE="${SUMMARY_FILE_ROOT}_${timestamp}.out"
LOGDIR="${exename}_lazy_logs"
EXEOPTS="--lazy --log"
SQL_PATH="./log_data"
# -- Install conda env, dependencies and MIRGE-Com via *emirge*
# --- remove old run if it exists
if [ -f "INSTALL_MIRGECOM" ]
then
if [ -d "emirge" ]
then
echo "Removing old timing run."
mv -f emirge emirge.old
rm -rf emirge.old &
fi
# --- grab emirge and install MIRGE-Com
git clone -b install-with-ssh https://github.com/illinois-ceesd/emirge.git
cd emirge
./install.sh --branch=${MIRGE_BRANCH} --env-name=${TIMING_ENV_NAME}
cd ../
fi
if [ -d "emirge/grudge" ]
then
rm -f INSTALL_MIRGECOM
else
echo "MIRGE-Com installation failed."
exit 1
fi
# -- Activate the env we just created above
export EMIRGE_HOME="${TIMING_HOME}/emirge"
source ${EMIRGE_HOME}/config/activate_env.sh
cd emirge/mirgecom
# -- Grab and merge the branch with the case-dependent features
MIRGE_HASH=$(git rev-parse origin/${MIRGE_BRANCH})
Y1_HASH="$MIRGE_HASH"
cd ../..
# git merge origin/y1-production --no-edit
# ------------- DISABLE ------------
# --- Grab the case driver repo
# rm -Rf ${DRIVER_NAME}
# git clone -b ${DRIVER_BRANCH} https://github.com/${DRIVER_REPO} ${DRIVER_NAME}
# cd ${DRIVER_NAME}/timing_run
# DRIVER_HASH=$(git rev-parse HEAD)
# cat <<EOF > timing_params.yaml
# nviz: 100
# nrestart: 100
# current_dt: 5e-8
# t_final: 1.e-6
# order: 1
# alpha_sc: 0.5
# s0_sc: -5.0
# kappa_sc: 0.5
# logDependent: 0
# EOF
# # --- Get an MD5Sum for the untracked timing driver
# DRIVER_MD5SUM="None"
# if command -v md5sum &> /dev/null
# then
# DRIVER_MD5SUM=$(md5sum ./${exename}.py | cut -d " " -f 1)
# else
# echo "Warning: No md5sum command found. Skipping md5sum for untracked driver."
# fi
# # -- Run the case (platform-dependent)
# printf "Running on Host: ${TIMING_HOST}\n"
# date
# GPU_ARCH="Unknown"
# case $TIMING_HOST in
#
# # --- Run the timing test in a batch job on Lassen@LLC
# lassen*)
# echo "Resolved Host: Lassen"
# TIMING_HOST="Lassen"
# GPU_ARCH="GV100GL"
# BATCH_SCRIPT_NAME="${exename}_timing_job.sh"
# rm -f ${BATCH_SCRIPT_NAME}
# rm -f timing-run-done
# # ---- Generate a batch script for running the timing job
# cat <<EOF > ${BATCH_SCRIPT_NAME}
# #!/bin/bash
#
# #BSUB -nnodes 1
# #BSUB -G uiuc
# #BSUB -W 60
# #BSUB -q pdebug
# #BSUB -o ${BATCH_OUTPUT_FILE}
#
# printf "Running with EMIRGE_HOME=${EMIRGE_HOME}\n"
#
# source "${EMIRGE_HOME}/config/activate_env.sh"
# export PYOPENCL_CTX="port:tesla"
# export XDG_CACHE_HOME="/tmp/$USER/xdg-scratch"
# rm -rf \$XDG_CACHE_HOME
# rm -f timing-run-done
# which python
# conda env list
# jsrun -g 1 -a 1 -n 1 python -O -u -m mpi4py ./${exename}.py -i timing_params.yaml ${EXEOPTS}
# touch timing-run-done
#
# EOF
# chmod +x ${BATCH_SCRIPT_NAME}
# # ---- Submit the batch script and wait for the job to finish
# bsub ${BATCH_SCRIPT_NAME}
# # ---- Wait 10 minutes right off the bat (the job is at least 10 min)
# sleep 300
# iwait=0
# while [ ! -f ./timing-run-done ]; do
# iwait=$((iwait+1))
# if [ "$iwait" -gt 360 ]; then # give up after 1 hour
# printf "Timed out waiting on batch job.\n"
# exit 1 # skip the rest of the script
# fi
# sleep 10
# done
# ;;
#
# # --- Run the timing test on an unknown/generic machine
# *)
# printf "Host: Unknown\n"
# PYOPENCL_TEST=port:pthread python -O -m mpi4py ./${exename}.py -i timing_params.yaml ${EXEOPTS}
# ;;
# esac
#
# date
# # -- Process the results of the timing run
# RUN_LOG_FILE="${SQL_PATH}/${exename}-rank0.sqlite"
# if [[ -f "${RUN_LOG_FILE}" ]]; then
#
# rm -f ${YAML_FILE_NAME}
# SUMMARY_FILE_NAME="${SQL_PATH}/${SUMMARY_FILE_ROOT}_${timestamp}.sqlite"
# rm -f ${SUMMARY_FILE_NAME}
#
# # --- Pull the timings out of the sqlite files generated by logging
# runalyzer-gather ${SUMMARY_FILE_NAME} ${RUN_LOG_FILE}
# CL_DEVICE=$(sqlite3 ${SUMMARY_FILE_NAME} 'SELECT cl_device_name FROM runs')
# STARTUP_TIME=$(runalyzer -m ${SUMMARY_FILE_NAME} -c 'print(q("select $t_init.max").fetchall()[0][0])' | grep -v INFO)
# FIRST_STEP=$(runalyzer -m ${SUMMARY_FILE_NAME} -c 'print(sum(p[0] for p in q("select $t_step.max").fetchall()[0:1]))' | grep -v INFO)
# FIRST_10_STEPS=$(runalyzer -m ${SUMMARY_FILE_NAME} -c 'print(sum(p[0] for p in q("select $t_step.max").fetchall()[0:10]))' | grep -v INFO)
# SECOND_10_STEPS=$(runalyzer -m ${SUMMARY_FILE_NAME} -c 'print(sum(p[0] for p in q("select $t_step.max").fetchall()[10:19]))' | grep -v INFO)
# MAX_PYTHON_MEM_USAGE=$(runalyzer -m ${SUMMARY_FILE_NAME} -c 'print(max(p[0] for p in q("select $memory_usage_python.max").fetchall()))' | grep -v INFO)
# MAX_GPU_MEM_USAGE=$(runalyzer -m ${SUMMARY_FILE_NAME} -c 'print(max(p[0] for p in q("select $memory_usage_gpu.max").fetchall()))' | grep -v INFO)
#
# # --- Create a YAML-compatible text snippet with the timing info
# printf "run_date: ${TIMING_DATE}\nrun_host: ${TIMING_HOST}\n" > ${YAML_FILE_NAME}
# printf "cl_device: ${CL_DEVICE}\n" >> ${YAML_FILE_NAME}
# printf "run_epoch: ${TIME_SINCE_EPOCH}\nrun_platform: ${TIMING_PLATFORM}\n" >> ${YAML_FILE_NAME}
# printf "run_arch: ${TIMING_ARCH}\ngpu_arch: ${GPU_ARCH}\n" >> ${YAML_FILE_NAME}
# printf "mirge_version: ${MIRGE_HASH}\ny1_version: ${Y1_HASH}\n" >> ${YAML_FILE_NAME}
# printf "driver_version: ${DRIVER_HASH}\ndriver_md5sum: ${DRIVER_MD5SUM}\n" >> ${YAML_FILE_NAME}
# printf "time_startup: ${STARTUP_TIME}\ntime_first_step: ${FIRST_STEP}\n" >> ${YAML_FILE_NAME}
# printf "time_first_10: ${FIRST_10_STEPS}\ntime_second_10: ${SECOND_10_STEPS}\n" >> ${YAML_FILE_NAME}
# printf "max_python_mem_usage: ${MAX_PYTHON_MEM_USAGE}\n" >> ${YAML_FILE_NAME}
# printf "max_gpu_mem_usage: ${MAX_GPU_MEM_USAGE}\n---\n" >> ${YAML_FILE_NAME}
#
# # Users should set special keys for using git over
# # ssh for security concerns. This snippet will use
# # a pre-arranged ssh key if the user provides one
# # and indicates it with the TESTING_SSH_KEY environment
# # variable.
# # ===== To create a key:
# # - Run ssh-keygen:
# # $ ssh-keygen
# # [enter a <keyname> when prompted]
# # - Put the key(s) in a /secure/filesystem/location:
# # $ mv <keyname>* /secure/filesystem/location
# # - Add the key to GIT:
# # $ [browse to] https://github.com/illinois-ceesd/timing/settings/keys/new
# # $ Choose (New SSH key)
# # $ Paste in the contents of /secure/filesystem/location/<keyname>.pub
# # - Set the ENV variable before using this script:
# # $ export TESTING_SSH_KEY=/secure/filesystem/location/<keyname>
# if [ ! -z "${TESTING_SSH_KEY}" ]; then
# eval $(ssh-agent)
# trap "kill $SSH_AGENT_PID" EXIT
# ssh-add ${TESTING_SSH_KEY}
# fi
#
# # --- Update the timing data in the repo
# # ---- First, clone the timing repo
# git clone -b ${TIMING_BRANCH} [email protected]:${TIMING_REPO}
# # ---- Create the timing file if it does not exist
# if [[ ! -f timing/${YAML_FILE_NAME} ]]; then
# touch timing/${YAML_FILE_NAME}
# (cd timing && git add ${YAML_FILE_NAME})
# fi
# # ---- Update the timing file with the current test data
# cat ${YAML_FILE_NAME} >> timing/${YAML_FILE_NAME}
# mkdir -p timing/${LOGDIR}
# cp ${SUMMARY_FILE_NAME} timing/${LOGDIR}
# cp ${BATCH_OUTPUT_FILE} timing/${LOGDIR}
# cd timing
# git add ${LOGDIR}/
# # ---- Commit the new data to the repo
# (git commit -am "Automatic commit: ${TIMING_HOST} ${TIMING_DATE}" && git push)
# cd ../
# else
# printf "Timing run did not produce the expected sqlite file: ${RUN_LOG_FILE}\n"
# exit 1
# fi
date