run_benchmark_ext_dendrites_desktop

#!/bin/sh

# build necessary catalogue (also sets the environment to run custom Arbor installation)
#source build_catalogue
source build_catalogue_simd

benchmark () {
	# name of the benchmark
	name=$1

	# script and arguments to be used for the benchmark
	# if not existing, create a specific python version via `sudo ln -s /usr/bin/python3 /usr/bin/python3-benchmarking"
	python_version="python3-benchmarking-mc"
	cmd="$python_version $2"
	echo -e "Benchmark for:\n  $cmd"

	# connectivity file
	conn_file=$3

	# number of trials to run
	num_trials=$4

	# sleep interval for memory tracking
	slpintv=$5

	# directory for storing the results
	bmdir='benchmark_'$name

	# create and enter directory for the results
	if [[ -d $bmdir ]]; then
		# ask for confirmation to remove
		echo "Remove existing directory '$bmdir' (y/n)?"
		read answer
		if [[ $answer == "y" ]]; then
			sudo rm -R -f $bmdir
			mkdir $bmdir
		fi
	else
		mkdir $bmdir
	fi
	cd $bmdir

	# copy program files
	cp -r ../*.py .
	cp ../custom-catalogue.so .
	if [[ -n ${conn_file} ]]; then
		cp ../${conn_file} .
	fi

	# save system information
	uname -a > sys_info.log
	echo "---" >> sys_info.log
	lscpu >> sys_info.log
	echo "---" >> sys_info.log
	sudo dmidecode >> sys_info.log

	# start tracking the memory
	sudo screen -d -m /bin/bash ../track_allocated_memory $python_version $slpintv

	# use hyperfine for running the simulation trials and tracking the runtime
	screen -d -m hyperfine --runs ${num_trials} --export-json 'benchmark_hyperfine.json' "$cmd"

	cd ..
}

#benchmark "2N1S_basic_late" "./arborNetworkConsolidation.py -config_file='../config_smallnet2_basic_late.json' -sample_curr=1" "connections_smallnet2.txt" 10 "20s"
#benchmark "CA200" "./arborNetworkConsolidationMultiComp.py -s_desc='net CA200 8h-recall (ext. dendrites, 1e-6)' -N_CA=200 -D_pc=1e-6 -runtime=28820 -recall='{\"time_start\": 28810, \"scheme\": \"ONEPULSE\", \"freq\": 100, \"N_stim\": 25}' -config_file='../config_defaultnet-like_ext_dendrites.json' -output_period=10" "" 10 "15m"
benchmark "CA200_10s-recall" "./arborNetworkConsolidationMultiComp.py -s_desc='net CA200 10s-recall' -N_CA=200 -runtime=25 -recall='{\"time_start\": 20, \"scheme\": \"ONEPULSE\", \"freq\": 100, \"N_stim\": 25}' -config_file='../config_defaultnet-like_ext_dendrites.json' -output_period=10" "" 10 "2m"