29 lines
773 B
Python
29 lines
773 B
Python
import os
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import numpy as np
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import matplotlib.pyplot as plt
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# IO: This loads the timings for you
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threads, timings = [], []
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for file in os.listdir('timings'):
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with open(f'timings/{file}', 'r') as f:
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n, t = f.read().strip().split(',')
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threads.append(int(n))
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timings.append(float(t))
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threads = np.array(threads)
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timings = np.array(timings)
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timings /= timings[np.where(threads == 1)[0][0]]
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print('This is the data I loaded: threads =', threads, ', timings =',timings)
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fig, axs = plt.subplots()
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# Remember to label your axis
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# Feel free to make it pretty
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axs.plot(threads, timings, '*')
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axs.set_xlabel('number of threads')
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axs.set_ylabel('relative processing time to single threading')
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plt.savefig('threads_v_relative_timings.png', dpi=300)
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