2021-10-26 18:42:41 +02:00
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# Copyright (c) 2021 Barcelona Supercomputing Center (BSC)
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#
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# This program is free software: you can redistribute it and/or modify
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# it under the terms of the GNU General Public License as published by
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# the Free Software Foundation, either version 3 of the License, or
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# (at your option) any later version.
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#
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# This program is distributed in the hope that it will be useful,
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# but WITHOUT ANY WARRANTY; without even the implied warranty of
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# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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# GNU General Public License for more details.
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#
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# You should have received a copy of the GNU General Public License
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# along with this program. If not, see <https://www.gnu.org/licenses/>.
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#
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2021-08-19 20:34:09 +02:00
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import numpy as np
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import matplotlib.pyplot as plt
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import sys
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if len(sys.argv) != 2:
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print("missing drift file")
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exit(1)
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fn = sys.argv[1]
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data = np.genfromtxt(fn, skip_header=1)
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with open(fn, 'r') as f:
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lines = [n for n in f.readline().strip().split(" ") if n != '']
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node_names = lines[1:]
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nnodes=len(node_names)
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t = data[:,0]
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t -= t[0]
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plt.figure(figsize=(10,6))
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for i in range(nnodes):
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delta = data[:,i+1]
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delta -= delta[0]
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delta /= 1000
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plt.plot(t, delta, label="rank%d (%s)" % (i, node_names[i]))
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plt.title('Clock drift using %d nodes' % nnodes)
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plt.xlabel('Relative wall clock time (s)')
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plt.ylabel('Relative time delta (us)')
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plt.legend()
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plt.grid()
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#plt.show()
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plt.savefig("drift.png")
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