40 lines
1.5 KiB
Python
40 lines
1.5 KiB
Python
import matplotlib.pyplot as plt
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import numpy as np
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## Bar diagram chunked on different parameters.
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text_size = 30
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stroke = 2
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marker_width = 8
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packet_sizes = (4,8,16,32,64,128)
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configs = {
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'Single Issue' : ('X',marker_width,(0.4414, 0.6095, 0.7529, 0.8312, 0.8889, 0.9275)),
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'Performance Optimized' : ('s',marker_width,(0.4211, 0.6957, 1.0323, 1.3333, 1.5799, 1.7527)),
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'Resource Utilization Optimized': ('^',marker_width-4,(0.4211, 0.6957, 1.0323, 1.3333, 1.5799, 1.7527)),
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'Ideal Addressed' : ('o',marker_width,(0.5714, 0.8889, 1.2308, 1.5238, 1.7297, 1.8551)),
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# 'Ideal non-Addressed' : ('v',marker_width,(1.3333, 1.6000, 1.7778, 1.8824, 1.9394, 1.9692)),
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}
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x = np.arange(len(packet_sizes)) # the label locations
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ys = np.arange(0,2.25,0.25)
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width = 0.25 # the width of the bars
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multiplier = 0
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fig, ax = plt.subplots(layout='constrained')
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for attribute, (marker, lw, measurement) in configs.items():
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ax.plot(packet_sizes, measurement, label=attribute, marker=marker, lw=stroke, mew=lw)
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# Add some text for labels, title and custom x-axis tick labels, etc.
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ax.set_ylabel('Throughput (B/C)',fontsize=text_size)
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ax.set_xlabel('Packet Size (B/P)',fontsize=text_size)
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ax.set_title('Unhindered Throughput of simultaneous 256KiB read and 256KiB write',fontsize=text_size)
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ax.set_xscale('log')
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ax.set_xticks(packet_sizes, packet_sizes,fontsize=text_size)
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ax.set_yticks(ys, ys,fontsize=text_size)
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ax.legend(loc='upper left', ncols=2,fontsize=text_size)
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ax.set_ylim(0.2, 2.7)
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plt.show()
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