pfor/rtbenchmarks/plot_basic

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2021-05-10 16:11:23 +00:00
#!/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()