mirror of
https://git.savannah.gnu.org/git/parallel.git
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65 lines
2.1 KiB
Bash
65 lines
2.1 KiB
Bash
#!/bin/bash
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# Create a boxplot of running 1000 jobs 10 times on all released
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# versions of GNU Parallel
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# test
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# --cpus-as-cores (virker ikke)
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# hvor stor forskel mlm 2 run
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# hvor stor forskel mlm 1000/3000/10000
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# hvor stor forskel mlm 10/30/100
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# Non-fixed cpu-speed: 50% spread=1-2 ms
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# Fixed cpu-speed: 50% spread=0.7-1.5 ms
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# 4-cpu: 30% faster: 9 ms -> 6 ms
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if ! /tmp/bin/parallel-20140722 --version; then
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wget -c ftp://ftp.gnu.org/old-gnu/parallel/p*
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wget -c ftp://ftp.uni-kl.de/pub/gnu/parallel/p*
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parallel 'gpg --auto-key-locate keyserver --keyserver-options auto-key-retrieve {}' ::: *.sig
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parallel --plus 'tar xvf {.} && cd {...} && ./configure --prefix /tmp/{.}-bin && make && make install' ::: *sig
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perl -i -pe 's/qw\(keys/(keys/' parallel*/src/parallel
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mkdir /tmp/bin
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parallel cp {} /tmp/bin/'{=s:/.*::=}' ::: parallel*/src/parallel
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fi
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measure() {
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# 100: Much jumping
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# 300: Same sort order every time
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# 1000: Same sort order every time
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OUTER=$1
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INNER=$2
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CORES=$3
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VERSION=$4
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MHZ=1700
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# Force cpuspeed at 1.7GHz - seems to give tighter results
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forever 'parallel sudo cpufreq-set -g performance -u '$MHZ'MHz -d '$MHZ'MHz -c{} ::: {0..3};sleep 10' &
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PATH=/tmp/bin:$PATH
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cd /tmp/bin
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ls parallel-* |
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parallel --shuf -j$CORES --joblog ~/tmp/joblog$CORES-$INNER-$OUTER.csv 'seq '$INNER' | {2} true' :::: <(seq $OUTER) -
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killall forever
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Rscript - <<_
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jl<-read.csv("$HOME/tmp/joblog$CORES-$INNER-$OUTER.csv",sep="\t");
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jl\$Command <- as.factor(substr(jl\$Command,
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nchar(as.character(jl\$Command))-23,
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nchar(as.character(jl\$Command))-5))
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pdf("/tmp/boxplot.pdf");
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par(cex.axis=0.5);
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boxplot(JobRuntime/$INNER*1000~Command,data=jl,las=2,outline=F,
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ylab="milliseconds/job",main="GNU Parallel overhead for different versions\n$OUTER trials each running $INNER jobs");
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_
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cp /tmp/boxplot.pdf $HOME/tmp/boxplot-j$CORES-${MHZ}MHz-$OUTER-${INNER}v$VERSION.pdf
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evince /tmp/boxplot.pdf
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}
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#measure 3000 1000 2 1
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measure 30 10 2 1
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measure 300 100 2 1
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measure 3000 1000 2 1
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