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lemirelemire
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Figures.
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‎scripts/data/nuc/bar.gnuplot‎

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set term pdfcairo fontscale 0.65 noenhanced
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! python pasteandrotate.py > gbps.txt
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set output "gbps.pdf"
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set boxwidth 0.8
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set style fill solid
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set ylabel "parsing speed (GB/s)"
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#set style line 80 lt rgb "#000000"
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# Line style for grid
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set style line 81 lt 0 # dashed
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set style line 81 lt rgb "#808080" # grey
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set grid back linestyle 81
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set border 3 back linestyle 80 # Remove border on top and right. These
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# borders are useless and make it harder
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# to see plotted lines near the border.
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# Also, put it in grey; no need for so much emphasis on a border.
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set xtics nomirror
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set ytics nomirror
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set yrange [0:]
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set format y "%0.1f";
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set style data histogram
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set style histogram cluster gap 1
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#set style line 1 lt rgb "#A0A0A0" lw 1 pt 1 ps 1
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#set key autotitle columnhead
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color1 = "#ff0c18";color2 = "#000000"; color3 = "#0c24ff";
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set xtic rotate by 300 scale 1
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plot "gbps.txt" using 2:xtic(1) title "simdjson" linecolor rgb color1, \
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"" using 3 title "RapidJSON" linecolor rgb color2, \
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"" using 4 title "sajson" linecolor rgb color3

‎scripts/data/nuc/gbps.pdf‎

27.7 KB
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‎scripts/data/nuc/pasteandrotate.py‎

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import os
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import csv
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import pandas as pd
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def getdata(filename):
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df = pd.read_csv(filename, delim_whitespace=True)
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return (df["gb_per_s"].tolist())
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ourdir=os.path.dirname(os.path.realpath(__file__))
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answer = []
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for file in os.listdir(ourdir):
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if file.endswith(".table"):
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fullpath = os.path.join(ourdir, file)
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answer.append([file[:-6]]+getdata(fullpath))
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print("#simdjson RapidJSON sajson")
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answer.sort()
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for l in answer:
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print("\t".join(map(str,l)))

‎scripts/data/skylake/bar.gnuplot‎

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set term pdfcairo fontscale 0.65 noenhanced
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! python pasteandrotate.py > gbps.txt
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set output "gbps.pdf"
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set boxwidth 0.8
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set style fill solid
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set ylabel "parsing speed (GB/s)"
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#set style line 80 lt rgb "#000000"
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# Line style for grid
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set style line 81 lt 0 # dashed
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set style line 81 lt rgb "#808080" # grey
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set grid back linestyle 81
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set border 3 back linestyle 80 # Remove border on top and right. These
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# borders are useless and make it harder
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# to see plotted lines near the border.
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# Also, put it in grey; no need for so much emphasis on a border.
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set xtics nomirror
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set ytics nomirror
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set yrange [0:]
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set format y "%0.1f";
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set style data histogram
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set style histogram cluster gap 1
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#set style line 1 lt rgb "#A0A0A0" lw 1 pt 1 ps 1
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#set key autotitle columnhead
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color1 = "#ff0c18";color2 = "#000000"; color3 = "#0c24ff";
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set xtic rotate by 300 scale 1
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plot "gbps.txt" using 2:xtic(1) title "simdjson" linecolor rgb color1, \
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"" using 3 title "RapidJSON" linecolor rgb color2, \
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"" using 4 title "sajson" linecolor rgb color3

‎scripts/data/skylake/gbps.pdf‎

27.7 KB
Binary file not shown.

‎scripts/data/skylake/pasteandrotate.py‎

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import os
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import csv
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import pandas as pd
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def getdata(filename):
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df = pd.read_csv(filename, delim_whitespace=True)
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return (df["gb_per_s"].tolist())
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ourdir=os.path.dirname(os.path.realpath(__file__))
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answer = []
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for file in os.listdir(ourdir):
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if file.endswith(".table"):
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fullpath = os.path.join(ourdir, file)
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answer.append([file[:-6]]+getdata(fullpath))
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print("#simdjson RapidJSON sajson")
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answer.sort()
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for l in answer:
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print("\t".join(map(str,l)))

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