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- 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')
- ax.semilogx(cpu_data[:,0], cpu_data[:,1], 'o-', color='#d54d4d', label='CPU')
- ax.axis["right"].set_visible(False)
- ax.axis["top"].set_visible(False)
- plt.xticks([1e4,1e6,1e8,1e10])
- plt.yticks([0,2000,4000,6000,8000])
- plt.xlabel('Data size in B')
- plt.ylabel('Throughput in MB/s')
- plt.legend(loc='lower right',frameon=False)
- plt.savefig('throughput.pdf', dpi=300, bbox_inches='tight')
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