This script executes a classifier for 2,4,8,12,18,20 ways cache isolated on a single core

cat-profiling.sh

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+#! /bin/bash
+
+# This script takes one argument.
+
+# 1st argument is the classifier name from:
+# AdaBoostClassifier
+# BayesianRidge
+# GaussianProcessClassifier
+# GaussianProcessRegressor
+# KernelRidge
+# Lars
+# Lasso
+# LinearDiscriminantAnalysis
+# LinearRegression
+# LogisticRegression
+# PassiveAggressiveClassifier
+# Perceptron
+# QuadraticDiscriminantAnalysis
+# RandomForestClassifier
+# RandomForestRegressor
+# RidgeRegression
+# SGDClassifier
+# SGDRegressor
+# SVC
+# SVR
+# VotingClassifier
+
+#for bench in $(ls datasets | grep data | awk -F. '{print $1}')
+for bench in 784x40000 784x30000 784x15000 392x40000 392x30000 392x15000 196x40000 196x30000 784x7500
+do
+
+	mkdir -p cat-results/$1/${bench}
+
+	for way in 2 4 8 12 18 20
+	do
+		if (( $way == 2 ))
+		then
+			pqos -r -e "llc:1=0x00003;llc:2=0xffffc;"
+		elif (( $way == 4 ))
+		then
+			pqos -r -e "llc:1=0x0000f;llc:2=0xffff0;"	
+		elif (( $way == 8 ))
+		then
+	                pqos -r -e "llc:1=0x000ff;llc:2=0xfff00;"
+		elif (( $way == 12 ))
+		then
+	                pqos -r -e "llc:1=0x00fff;llc:2=0xff000;"
+		elif (( $way == 18 ))
+		then
+			pqos -r -e "llc:1=0x3ffff;llc:2=0xc0000;"
+		elif (( $way == 20 ))
+		then
+			pqos -r -e "llc:1=0xfffff;llc:2=0xfffff;"
+		fi
+
+		pqos -a "llc:1=0;llc:2=1-47;"
+		
+		mkdir -p cat-results/$1/${bench}/${way}-way
+
+		for (( x = 0; x < 10; x++ ))
+		do
+			ts=$(date +"%s")
+			mkdir -p cat-results/$1/${bench}/${way}-way/${ts}
+			touch cat-results/$1/${bench}/${way}-way/${ts}/${ts}.log
+			echo -n "Starting monitoring performance counters... " | tee -a cat-results/$1/${bench}/${way}-way/${ts}/${ts}.log
+			./pcm.x 0.1 -r -csv=pcm.csv 1>&- 2>&- &
+			pcm_pid=$!
+			sleep 1s
+			echo "Success" | tee -a cat-results/$1/${bench}/${way}-way/${ts}/${ts}.log
+			sleep 5s
+			
+			# Now let us also start our real application!
+			dataset="${bench}.data"
+			labels="${bench}.labels"
+			ram=1500m
+			id=0
+			
+			docker run --rm \
+			-e CLF=$1 \
+			-e OMP_NUM_THREADS=1 \
+			-e RAM_SIZE=${ram} \
+			-e INPUT_DATA=${dataset} \
+			-e INPUT_LABELS=${labels} \
+			--memory="${ram}" \
+			--memory-swap="1000000m" \
+			--cpus=1 \
+			--cpuset-cpus=$id \
+			-v $(pwd):/shared pl4tinum/bench-profiling:0.1
+			
+			echo -n "Killing pcm script... " | tee -a cat-results/$1/${bench}/${way}-way/${ts}/${ts}.log
+			kill -9 ${pcm_pid}
+			sleep 1s
+			echo "Done" | tee -a cat-results/$1/${bench}/${way}-way/${ts}/${ts}.log
+		
+			#copy results to folder
+			echo "Moving output files"
+			echo "pcm.csv -> cat-results/$1/${bench}/${way}-way/${ts}/pcm.csv"
+			mv pcm.csv cat-results/$1/${bench}/${way}-way/${ts}/pcm.csv
+			sleep 0.1s
+			for i in $(find ./results/$1/ -maxdepth 1 -type f -printf "%f\n")
+			do
+				echo "results/$1/$i -> cat-results/$1/${bench}/${way}-way/${ts}/$i"
+				mv results/$1/$i cat-results/$1/${bench}/${way}-way/${ts}/$i
+				sleep 0.1s
+			done
+			echo "Done!"
+			sleep 2s
+		done
+	done
+done