84 lines
2.1 KiB
Python
Vendored
84 lines
2.1 KiB
Python
Vendored
import matplotlib.pyplot as plt
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import numpy as np
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import matplotlib.mlab as mlab
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import matplotlib.gridspec as gridspec
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# Fixing random state for reproducibility
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costs = [5326, 1608, 920]
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plt.subplot(131)
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x = np.arange(3)
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#plt.plot(costs, label='v1 (OpenMP)', color='black')
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plt.bar(x, costs)
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plt.title('Development Cost', fontsize=22)
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plt.xlabel('task model', fontsize=18)
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plt.ylabel('$USD', fontsize=16)
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plt.xticks(x, ('OpenMP', 'TBB', 'Cpp-Taskflow'))
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plt.legend()
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# Fixing random state for reproducibility
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raw = [line.strip() for line in open("graph_algorithm.txt")]
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graph_sizes = []
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omp_runtimes = []
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tbb_runtimes = []
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ctf_runtimes = []
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# extract the output data
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i = 0
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for line in raw:
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token = line.split();
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assert(len(token) == 4)
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graph_sizes.append(int(token[0]))
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omp_runtimes.append(float(token[1]))
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tbb_runtimes.append(float(token[2]))
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ctf_runtimes.append(float(token[3]))
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i = i+1
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plt.subplot(132)
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plt.plot(graph_sizes, omp_runtimes, label='OpenMP')
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plt.plot(graph_sizes, tbb_runtimes, label='TBB')
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plt.plot(graph_sizes, ctf_runtimes, label='Cpp-Taskflow')
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plt.title('Graph Algorithm', fontsize=22)
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plt.xlabel('graph size (|V|+|E| ~ # tasks)', fontsize=18)
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plt.ylabel('cpu runtime (ms)', fontsize=16)
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#plt.xticks(np.arange(len(graph_sizes)), graph_sizes)
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plt.legend(fontsize=16)
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# Fixing random state for reproducibility
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raw = [line.strip() for line in open("matrix_operation.txt")]
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graph_sizes = []
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omp_runtimes = []
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tbb_runtimes = []
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ctf_runtimes = []
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# extract the output data
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i = 0
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for line in raw:
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token = line.split();
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assert(len(token) == 4)
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graph_sizes.append(int(token[0]))
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omp_runtimes.append(float(token[1]))
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tbb_runtimes.append(float(token[2]))
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ctf_runtimes.append(float(token[3]))
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i = i+1
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plt.subplot(133)
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plt.plot(graph_sizes, omp_runtimes, label='OpenMP')
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plt.plot(graph_sizes, tbb_runtimes, label='TBB')
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plt.plot(graph_sizes, ctf_runtimes, label='Cpp-Taskflow')
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plt.title('Matrix Operation', fontsize=22)
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plt.xlabel('partition count (# tasks)', fontsize=18)
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plt.ylabel('cpu runtime (ms)', fontsize=16)
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#plt.xticks(np.arange(len(graph_sizes)), graph_sizes)
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plt.legend(fontsize=16)
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plt.show()
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