cudadl/summarize_data_multiprocess.py

#!/usr/bin/env python3
#
import statistics
import numpy as np
import matplotlib.pylab as plt
#
sizes = [44, 46, 48, 50, 52, 54, 56, 58, 60, 62, 64, 66, 68, 70, 74, 78, 82, 84]
files = ['/home/steve/documents/cudadl-data/multiprocess/controller_{}'.format(x) for x in sizes]
#
avg_launch_count = []
#
for fname in files:
	launch_counts = []
	#
	with open(fname, 'r') as f:
		for line in f:
			if line.startswith('Timing'):
				data = line.split(':', 1)[-1]
				launch_counts.append(int(data.split(',')[3].strip()))
			#
		#
	#
	launch_counts.pop(int(len(launch_counts)/2)-1)
	launch_counts.pop()
	# remove the middle and last subproblems
	# (they correspond to the final subproblems for p and q)
	#
	avg_launch_count.append(statistics.mean(launch_counts))
#
B = 2**np.array(sizes, dtype='object')
#
plt.semilogx(B, avg_launch_count, '.-', basex=2)
plt.xticks(B)
plt.xlabel('B')
plt.ylabel('Avg Number of Kernel Launches')
plt.show()
#
plt.loglog(B, avg_launch_count, '.-', basey=2, basex=2)
plt.xticks(B)
plt.xlabel('B')
plt.ylabel('Avg Number of Kernel Launches')
plt.show()