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65 lines
2.2 KiB
Python
65 lines
2.2 KiB
Python
"""
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Copyright 2011-2014 Mario Mulansky
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Copyright 2011-2014 Karsten Ahnert
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Distributed under the Boost Software License, Version 1.0.
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(See accompanying file LICENSE_1_0.txt or
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copy at http://www.boost.org/LICENSE_1_0.txt)
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"""
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import numpy as np
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from matplotlib import pyplot as plt
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plt.rc("font", size=16)
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def get_runtime_from_file(filename):
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gcc_perf_file = open(filename, 'r')
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for line in gcc_perf_file:
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if "Minimal Runtime:" in line:
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return float(line.split(":")[-1])
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t_gcc = [get_runtime_from_file("perf_workbook/odeint_rk4_array_gcc.perf"),
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get_runtime_from_file("perf_ariel/odeint_rk4_array_gcc.perf"),
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get_runtime_from_file("perf_lyra/odeint_rk4_array_gcc.perf")]
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t_intel = [get_runtime_from_file("perf_workbook/odeint_rk4_array_intel.perf"),
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get_runtime_from_file("perf_ariel/odeint_rk4_array_intel.perf"),
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get_runtime_from_file("perf_lyra/odeint_rk4_array_intel.perf")]
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t_gfort = [get_runtime_from_file("perf_workbook/rk4_gfort.perf"),
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get_runtime_from_file("perf_ariel/rk4_gfort.perf"),
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get_runtime_from_file("perf_lyra/rk4_gfort.perf")]
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t_c_intel = [get_runtime_from_file("perf_workbook/rk4_c_intel.perf"),
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get_runtime_from_file("perf_ariel/rk4_c_intel.perf"),
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get_runtime_from_file("perf_lyra/rk4_c_intel.perf")]
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print t_c_intel
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ind = np.arange(3) # the x locations for the groups
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width = 0.15 # the width of the bars
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fig = plt.figure()
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ax = fig.add_subplot(111)
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rects1 = ax.bar(ind, t_gcc, width, color='b', label="odeint gcc")
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rects2 = ax.bar(ind+width, t_intel, width, color='g', label="odeint intel")
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rects3 = ax.bar(ind+2*width, t_c_intel, width, color='y', label="C intel")
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rects4 = ax.bar(ind+3*width, t_gfort, width, color='c', label="gfort")
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ax.axis([-width, 2.0+5*width, 0.0, 0.85])
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ax.set_ylabel('Runtime (s)')
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ax.set_title('Performance for integrating the Lorenz system')
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ax.set_xticks(ind + 1.5*width)
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ax.set_xticklabels(('Core i5-3210M\n3.1 GHz',
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'Xeon E5-2690\n3.8 GHz',
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'Opteron 8431\n 2.4 GHz'))
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ax.legend(loc='upper left', prop={'size': 16})
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plt.savefig("perf.pdf")
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plt.savefig("perf.png", dpi=50)
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plt.show()
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