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- import sys
- import numpy as np
- import matplotlib.pyplot as plt
- gpu_data = np.loadtxt('latency-gpu.txt')
- cpu_data = np.loadtxt('latency-cpu.txt')
- # check that this is a good/valid idea
- gpu_data = gpu_data[gpu_data < 175]
- gpu_data = gpu_data[gpu_data > 150]
- cpu_data = cpu_data[cpu_data < 175]
- cpu_data = cpu_data[cpu_data > 150]
- plt.rc('font', **dict(family='serif'))
- plt.figure(figsize=(4, 3))
- # divide by 2 for one-way latency
- plt.hist(gpu_data / 2, bins=100, normed=False, color='#3b5b92', label='GPU')
- plt.hist(cpu_data / 2, bins=100, normed=False, color='#d54d4d', label='CPU')
- plt.xlabel(u'Latency in \u00b5s')
- plt.ylabel('Frequency')
- plt.legend(loc='upper right')
- plt.savefig('latency.pdf', dpi=300, bbox_inches='tight')
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