69 lines
3.9 KiB
Gnuplot
69 lines
3.9 KiB
Gnuplot
# Output Settings
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set terminal pngcairo size 1200,1600 enhanced linewidth 2
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set output 'speedup_results.png'
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set datafile separator ","
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set multiplot layout 3,1 title "Concurrent HashMap Benchmark Results\nSpeedup vs Thread Count" offset 0, -0.05 scale 1, 0.95
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# Axis Settings
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set grid y
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set grid x
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set xlabel "Threads"
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set ylabel "Speedup"
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set logscale x 2
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set format y "%.1f"
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set yrange [0:*]
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# Key (Legend) Settings
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set key outside right top box
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set key title "Configuration"
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# Colors
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c_050 = "#17becf" # Cyan
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c_080 = "#2ca02c" # Green
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c_090 = "#1f77b4" # Blue
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c_095 = "#ff7f0e" # Orange
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c_098 = "#d62728" # Red
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# Point Types (Shapes)
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# 13=Diamond, 7=Circle, 5=Square, 9=Triangle Up, 11=Triangle Down
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pt_conc_050 = 13
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pt_conc_080 = 7
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pt_conc_090 = 5
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pt_conc_095 = 9
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pt_conc_098 = 11
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# Open version for Mutex
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pt_mutex_080 = 6
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# Helper function to filter data
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# Col 1: Impl, Col 2: LF, Col 3: Workload, Col 7: Speedup
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filter(workload, impl, lf) = (strcol(3) eq workload && strcol(1) eq impl && abs($2 - lf) < 0.001) ? $7 : 1/0
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set title "Workload: Read-Heavy (3% Put, 2% Remove, 95% Get)"
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plot \
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'benchmark_results.csv' every ::1 using 4:(filter("Read-Heavy", "Concurrent", 0.50)) w lp lc rgb c_050 pt pt_conc_050 t "Concurrent (LF 0.50)", \
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'benchmark_results.csv' every ::1 using 4:(filter("Read-Heavy", "Concurrent", 0.80)) w lp lc rgb c_080 pt pt_conc_080 t "Concurrent (LF 0.80)", \
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'benchmark_results.csv' every ::1 using 4:(filter("Read-Heavy", "Concurrent", 0.90)) w lp lc rgb c_090 pt pt_conc_090 t "Concurrent (LF 0.90)", \
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'benchmark_results.csv' every ::1 using 4:(filter("Read-Heavy", "Concurrent", 0.95)) w lp lc rgb c_095 pt pt_conc_095 t "Concurrent (LF 0.95)", \
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'benchmark_results.csv' every ::1 using 4:(filter("Read-Heavy", "Concurrent", 0.98)) w lp lc rgb c_098 pt pt_conc_098 t "Concurrent (LF 0.98)", \
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'benchmark_results.csv' every ::1 using 4:(filter("Read-Heavy", "Mutex", 0.80)) w lp lc rgb c_080 dt 2 pt pt_mutex_080 t "Mutex (LF 0.80)",
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set title "Workload: Balanced (25% Put, 25% Remove, 50% Get)"
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plot \
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'benchmark_results.csv' every ::1 using 4:(filter("Balanced", "Concurrent", 0.50)) w lp lc rgb c_050 pt pt_conc_050 t "Concurrent (LF 0.50)", \
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'benchmark_results.csv' every ::1 using 4:(filter("Balanced", "Concurrent", 0.80)) w lp lc rgb c_080 pt pt_conc_080 t "Concurrent (LF 0.80)", \
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'benchmark_results.csv' every ::1 using 4:(filter("Balanced", "Concurrent", 0.90)) w lp lc rgb c_090 pt pt_conc_090 t "Concurrent (LF 0.90)", \
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'benchmark_results.csv' every ::1 using 4:(filter("Balanced", "Concurrent", 0.95)) w lp lc rgb c_095 pt pt_conc_095 t "Concurrent (LF 0.95)", \
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'benchmark_results.csv' every ::1 using 4:(filter("Balanced", "Concurrent", 0.98)) w lp lc rgb c_098 pt pt_conc_098 t "Concurrent (LF 0.98)", \
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'benchmark_results.csv' every ::1 using 4:(filter("Balanced", "Mutex", 0.80)) w lp lc rgb c_080 dt 2 pt pt_mutex_080 t "Mutex (LF 0.80)",
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set title "Workload: Write-Heavy (45% Put, 45% Remove, 10% Get)"
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plot \
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'benchmark_results.csv' every ::1 using 4:(filter("Write-Heavy", "Concurrent", 0.50)) w lp lc rgb c_050 pt pt_conc_050 t "Concurrent (LF 0.50)", \
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'benchmark_results.csv' every ::1 using 4:(filter("Write-Heavy", "Concurrent", 0.80)) w lp lc rgb c_080 pt pt_conc_080 t "Concurrent (LF 0.80)", \
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'benchmark_results.csv' every ::1 using 4:(filter("Write-Heavy", "Concurrent", 0.90)) w lp lc rgb c_090 pt pt_conc_090 t "Concurrent (LF 0.90)", \
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'benchmark_results.csv' every ::1 using 4:(filter("Write-Heavy", "Concurrent", 0.95)) w lp lc rgb c_095 pt pt_conc_095 t "Concurrent (LF 0.95)", \
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'benchmark_results.csv' every ::1 using 4:(filter("Write-Heavy", "Concurrent", 0.98)) w lp lc rgb c_098 pt pt_conc_098 t "Concurrent (LF 0.98)", \
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'benchmark_results.csv' every ::1 using 4:(filter("Write-Heavy", "Mutex", 0.80)) w lp lc rgb c_080 dt 2 pt pt_mutex_080 t "Mutex (LF 0.80)",
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unset multiplot
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