thesis version

rtbenchmarks/plot_basic

@@ -0,0 +1,113 @@
+#!/usr/bin/env python3
+# -*- coding: utf-8 -*-
+
+import os, sys
+sys.path.append(os.path.abspath(os.path.dirname(os.path.abspath(__file__))+"/../scripts"))
+
+import fileinput
+import numpy as np
+import matplotlib as mpl
+
+show = len(sys.argv) > 1 and sys.argv[1] == 'show'
+if not show:
+	mpl.use('pgf')
+
+import matplotlib.pyplot as plt
+import matplotlib.lines as lines
+from common import set_size, config_plt, get_colors, fix_log_rects
+
+config_plt()
+
+
+def loadData(fn):
+	content = []
+
+	with open(fn) as f:
+		content = f.readlines()
+
+	values = {}
+	for line in content:
+		n, method, sample, ncores, strtime = [x for x in line.split(':')]
+		time = float(strtime)
+		if method != "seq":
+			time = time/float(ncores)
+		if not n in values:
+			values[n] = []
+		values[n].append(time);
+
+	return values
+
+
+def figSize(title, xlabel, xticks, output, datasrcs, error=False):
+	fig = plt.figure()
+
+	plt.title(title)
+	plt.xlabel(xlabel)
+	plt.ylabel(u"temps (s)")
+	plt.xticks(xticks)
+	plt.xscale('log')
+	plt.yscale('log')
+
+	nd = len(datasrcs)
+
+	width = 3.5
+	pos = .5-.5*nd
+	for f, label in datasrcs:
+		values = loadData(f)
+		barcolor, errcolor = get_colors(['seq', 'omp', 'gen_omp', 'gen_thread'], label)
+
+		for k, a in values.items():
+			x = int(k)
+			m = np.mean(a)
+			s = 2.5758 * np.std(a) / np.sqrt(len(a))  # confiance 99 %
+
+			x = x * ((20+width)/(20-width))**pos
+
+			p = np.log10(x)
+			lwidth = width * 10**(p-1)
+
+			bar = plt.bar(x, m, width=lwidth, color=barcolor, label=label)
+			fix_log_rects(bar, 1e-4)
+
+			if error:
+				plt.errorbar(x, m, s, elinewidth=1.5, capsize=2, ecolor=errcolor)
+			label=''
+
+		pos = pos + 1
+
+	plt.legend(bbox_to_anchor=(.38, 1))
+
+	fig.set_size_inches(set_size(455.24408, .8))
+	if not show:
+		plt.savefig(output, format='pdf', bbox_inches='tight')
+	return plt
+
+
+# script
+plts = []
+
+plt = figSize(u"", u"taille des données", [1e2, 1e3, 1e4, 1e5, 1e6, 1e7],
+		"plots/rt_seq.pdf", [
+			['data_basic/rt_seq_seq', 'seq'],
+			['data_basic/rt_seq_gen_omp', 'gen_omp'],
+			['data_basic/rt_seq_gen_thread', 'gen_thread'],
+			],
+		error=True
+		)
+plts.append(plt)
+
+for cores in [1, 2, 4, 6, 8, 10, 12, 14, 16, 18]:
+	plt = figSize(u"", u"taille des données", [1e2, 1e3, 1e4, 1e5, 1e6, 1e7],
+			"plots/rt_par_"+str(cores)+".pdf", [
+				['data_basic/rt_size_'+str(cores)+'_seq', 'seq'],
+				['data_basic/rt_size_'+str(cores)+'_omp', 'omp'],
+				['data_basic/rt_size_'+str(cores)+'_gen_omp', 'gen_omp'],
+				['data_basic/rt_size_'+str(cores)+'_gen_thread', 'gen_thread'],
+				],
+			error=True
+			)
+	plts.append(plt)
+
+if show:
+	for plt in plts:
+		plt.show()