# speedup and parralel performance analysis

import matplotlib.pyplot as plt
import numpy as np

threads = [1, 2, 4, 8, 16]
wall_time = [135.51, 69.36, 37.62, 20.73, 11.86]
cpu_time = [135.53, 138.77, 150.48, 165.78, 186.57]

speedup = [wall_time[0] / time for time in wall_time]
efficiency = [speed / proc for speed, proc in zip(speedup, threads)]

plt.plot(threads, wall_time)
plt.xticks([1, 2, 4, 8, 16])
plt.title("Time")
plt.ylabel("time (s)")
plt.xlabel("no. processors")

plt.savefig("time.png")
plt.show()

su, = plt.plot(threads, speedup, label="speedup")
yex, = plt.plot([0, 16], [0, 16], label="y=x") # plot y=x
plt.xticks([1,2,4,8,16])
plt.title("Speedup")
plt.ylabel("speedup")
plt.xlabel("no. processors")
plt.legend(handles=[su, yex])
plt.savefig("speedup.png")
plt.show()

plt.plot(threads, efficiency, label="efficiency")
plt.xticks([1,2,4,8,16])
plt.title("Efficiency")
plt.ylabel("efficiency")
plt.xlabel("no. processors")

plt.savefig("efficiency.png")
plt.show()