import numpy as np
import matplotlib.pyplot as plt
from mpl_toolkits.axes_grid.axislines import Subplot


gpu_data = np.loadtxt('throughput.gpu')
cpu_data = np.loadtxt('throughput.cpu')

fig = plt.figure(1, (8,4))
ax = Subplot(fig, 111)
fig.add_subplot(ax)

plt.rc('font', **dict(family='serif'))

#plt.figure(figsize=(8, 4))

ax.semilogx(gpu_data[:,0], gpu_data[:,1], '*-', color='#3b5b92', label='GPU Memory')
ax.semilogx(cpu_data[:,0], cpu_data[:,1], 'o-', color='#77DD77', label='Main Memory')
ax.axis["right"].set_visible(False)
ax.axis["top"].set_visible(False)
plt.ylim(0, 7000)
plt.xticks([1e4,1e6,1e8,1e10])
plt.yticks([0,2000,4000,6000])

plt.xlabel('Data size (B)')
plt.ylabel('Throughput (MB/s)')
plt.legend(loc='lower right',frameon=False)
plt.savefig('throughput.pdf', dpi=300, bbox_inches='tight')