ax.plot(nthreads, rate) # 1700
slope = 8.0 / (1.0 + 8.0)
intercept = 1.0 / (1.0 + 8.0)
ax.plot(nthreads, [
min(rate[0] * x, slope * rate[0] * x + 4 * intercept) for x in nthreads
], '--')
ax.set_yscale('log')
ax.set_xlim(0, 32)
#ax.set_xscale('log')
setticks(ax, xlog=True, ylog=True)
pylab.show()
if __name__ == "__main__":
setfont()
data = []
fig = pylab.figure(figsize=(5, 5))
ax = pylab.subplot(1, 1, 1)
#for line in open("./output.dat"):
ompclass = []
nthreads = []
for i, line in enumerate(open("./output_parsed2.dat")):
if '#' in line:
continue
if 'OMP' in line:
nthreads.append(int(line.split()[1]))
if i == 0:
continue
data = np.asarray(data)
ompclass.append(data)
import pylab
import numpy as np
from setfont import *
if __name__ =="__main__":
setfont()
data = []
fig = pylab.figure(figsize=(5,2))
ax = pylab.subplot(1,1,1)
#for line in open("./output.dat"):
for line in open("./runs.dat"):
line = line.split()
line = [float(x) for x in line]
data.append(np.asarray(line))
data = np.asarray(data)
ax.scatter(data[:,0],data[:,2])
ax.plot([1,1e9],[41.5391,41.5391])
ax.set_xlim(1e2,1e7)
ax.set_xscale('log')
#ax.set_ylim(-0.00002,0.0005)
ax.set_ylim(1,100)
#setticks(ax,xlog=True,ylog=False,ymajor=0.0001,yminor=0.00005)
setticks(ax,xlog=True,ylog=False,ymajor=10,yminor=5)
pylab.show()